{"meta":{"query_hash":"282ff7bad550","filters":{"venue":"Applied Sciences"},"cohort_total":1410,"direct_labels_cover":1,"predictions_cover":1410,"exported":1410,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/282ff7bad550","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Sciences"},"results":[{"id":"W1751230434","doi":"10.3390/app5030241","title":"N-Vinylcarbazole: As an Additive for Thermal Polymerization at Room Temperature with in situ Formation of Ag(0) Nanoparticules","year":2015,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photopolymerization techniques and applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Polymerization; Fourier transform infrared spectroscopy; Silane; Differential scanning calorimetry; Chemical engineering; Monomer; Polymer; Polymer chemistry; In situ polymerization; Radical polymerization; Silver nanoparticle; Nanoparticle; Nanocomposite; Composite material; Nanotechnology","score_opus":0.014622580743677683,"score_gpt":0.25800711441091606,"score_spread":0.2433845336672384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1751230434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772075,0.000031880907,0.000833188,0.00008515613,0.00000855216,0.00024108596,0.000048553695,0.000062693456,0.021481425],"genre_scores_gemma":[0.9979042,0.000004457437,0.0013052189,0.000080422564,0.000029185248,0.0003573601,0.00020729125,0.000008716631,0.0001031536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991864,0.000007716161,0.00020143802,0.00021970479,0.00022378488,0.00016093955],"domain_scores_gemma":[0.9995355,0.000026558222,0.00016203211,0.00014664112,0.00006214157,0.00006714535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012905235,0.00010144249,0.00012074303,0.0000576673,0.00015480696,0.000035519308,0.00019147196,0.000067090325,0.000039331873],"category_scores_gemma":[0.000013433575,0.00007988563,0.000016133283,0.00036342884,0.00016134323,0.00027883064,0.000028582184,0.00004263135,0.0000022983959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049708007,0.000054594126,0.00010028894,0.000010913383,0.0000018832818,1.2143313e-7,0.0010012005,0.00008711161,0.9869665,0.0107667055,0.000060168222,0.00090080925],"study_design_scores_gemma":[0.00033828034,0.00007461576,0.00006479857,0.000016671649,0.000006654421,0.00000249213,0.002021731,0.0009399819,0.9952039,0.00091077003,0.00030419676,0.00011590674],"about_ca_topic_score_codex":0.00003255936,"about_ca_topic_score_gemma":0.00007565603,"teacher_disagreement_score":0.02137827,"about_ca_system_score_codex":0.000036955164,"about_ca_system_score_gemma":0.00010207094,"threshold_uncertainty_score":0.32576412},"labels":[],"label_agreement":null},{"id":"W1871174990","doi":"10.3390/app5040840","title":"Chemical Modification of Poly(Vinyl Alcohol) in Water","year":2015,"lang":"en","type":"article","venue":"Applied Sciences","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermogravimetric analysis; Vinyl alcohol; Chemical modification; Polymer chemistry; Thermal stability; Grafting; Click chemistry; Azide; Amine gas treating; Chemistry; Chemical stability; Fourier transform infrared spectroscopy; Alcohol; Functional group; Polymer; Organic chemistry; Chemical engineering","score_opus":0.08567474790615667,"score_gpt":0.2717323246694454,"score_spread":0.18605757676328874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871174990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98634475,0.0011926744,0.00008392894,0.00049226213,0.00010210657,0.00006550763,0.0000017733339,0.000020830968,0.011696177],"genre_scores_gemma":[0.9980378,0.0000034176762,0.0017939341,0.00006321168,0.000025374304,0.000019923096,0.0000010043727,0.0000032021715,0.000052145395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899715,0.000025480596,0.00021005567,0.00023466664,0.00030445965,0.00022820219],"domain_scores_gemma":[0.99970615,0.000026142661,0.000044610773,0.00014766953,0.000021202388,0.000054253593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009649309,0.00007374817,0.0001349964,0.000063102845,0.000052229454,0.000043891236,0.00036542167,0.000044007214,0.000093782255],"category_scores_gemma":[0.000018762721,0.000042624528,0.000016011825,0.00015601351,0.0004412575,0.00016497029,0.000065568864,0.000034623175,0.00012054998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001814141,0.000027602708,0.00020034997,0.000004412242,4.931443e-7,1.2597971e-7,0.000905683,0.000004362967,0.9896925,0.0033408122,0.000055396922,0.0057500876],"study_design_scores_gemma":[0.00010997831,0.000014512092,0.00006449472,0.000005737549,0.0000019471265,8.7003946e-7,0.00048195664,0.00016560526,0.9971005,0.0017051022,0.00027218074,0.0000771157],"about_ca_topic_score_codex":0.0003435034,"about_ca_topic_score_gemma":0.000011464868,"teacher_disagreement_score":0.011693048,"about_ca_system_score_codex":0.000014987354,"about_ca_system_score_gemma":0.000052263356,"threshold_uncertainty_score":0.17381778},"labels":[],"label_agreement":null},{"id":"W1969321285","doi":"10.3390/app3010107","title":"An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations","year":2013,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Environmental science; Renewable energy; Electric power system; Meteorology; Engineering; Power (physics); Electrical engineering; Geography","score_opus":0.030798160118756072,"score_gpt":0.25720816919655387,"score_spread":0.2264100090777978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969321285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86634845,0.00010646977,0.121070236,0.00008385029,0.0013108421,0.0030736555,0.000029089393,0.00032418896,0.007653215],"genre_scores_gemma":[0.9965857,0.0000023476614,0.0031333687,0.00003028279,0.00003554532,0.000074715615,0.000018294102,0.000022739949,0.00009699803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979058,0.000060946706,0.00052977423,0.0005515401,0.00047979926,0.00047212295],"domain_scores_gemma":[0.9987651,0.00019177717,0.000107326065,0.00046891804,0.00031690326,0.00014994715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022819596,0.00024122346,0.00030686558,0.00011545857,0.00033271336,0.00028252485,0.0003613614,0.0001559975,0.000047165595],"category_scores_gemma":[0.00018248105,0.00020160696,0.00005947198,0.00041417874,0.00032019423,0.000681569,0.000026935468,0.00017392947,0.00007117866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055785495,0.000028832545,0.00023038205,0.00005404347,0.000011505988,6.9124894e-8,0.0010170691,0.98401093,0.011312612,0.0026583918,0.00043923824,0.00023135621],"study_design_scores_gemma":[0.00035245932,0.000044599066,0.0007081807,0.00004703034,0.000022390093,0.000002267926,0.0016145221,0.9897825,0.0004143181,0.0065061236,0.00023502925,0.00027059246],"about_ca_topic_score_codex":0.00011453698,"about_ca_topic_score_gemma":0.00001827867,"teacher_disagreement_score":0.13023725,"about_ca_system_score_codex":0.00018252063,"about_ca_system_score_gemma":0.00018041032,"threshold_uncertainty_score":0.82212937},"labels":[],"label_agreement":null},{"id":"W1973947601","doi":"10.3390/app3030636","title":"Evaluation of a Wet Chemistry Method for Isolation of Cyclotron Produced [211At]Astatine","year":2013,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bismuth; Distillation; Chemistry; Dissolution; Radiochemistry; Attenuation; Extraction (chemistry); Chromatography; Organic chemistry; Optics; Physics","score_opus":0.08415780249757616,"score_gpt":0.4201730331894576,"score_spread":0.33601523069188144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973947601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659903,0.000053200223,0.016103698,0.0010815695,0.000012379766,0.0011921858,0.000007984731,0.000017017075,0.0155416895],"genre_scores_gemma":[0.942941,0.0000019296513,0.056481723,0.000028640728,0.000053903514,0.00039376772,0.000015150755,0.0000038983235,0.000079971],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893874,0.000014257382,0.00025015252,0.00021859523,0.00046307856,0.00011515994],"domain_scores_gemma":[0.99917275,0.0001295367,0.00015284047,0.00014785095,0.0003441594,0.000052863965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013866134,0.00006663755,0.00015469693,0.000020441033,0.000057636396,0.000006249409,0.00009313756,0.000038482332,0.00022414098],"category_scores_gemma":[0.00021803095,0.00005376751,0.00003626783,0.00027609622,0.0001673117,0.00004668754,0.000011579831,0.000046965943,0.0000031163017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018180022,0.00007855332,0.000089430105,0.000121541176,0.000012089049,5.5912794e-9,0.000070677605,0.00023661778,0.9856206,0.0005621915,0.00014783665,0.013042282],"study_design_scores_gemma":[0.00062489026,0.000038413018,0.00082829106,0.00001462853,0.00013241511,0.0000017912973,0.00017002774,0.070022605,0.9246556,0.0033471554,0.00011585162,0.000048334256],"about_ca_topic_score_codex":0.000008219611,"about_ca_topic_score_gemma":1.2990976e-7,"teacher_disagreement_score":0.06978599,"about_ca_system_score_codex":0.000021506645,"about_ca_system_score_gemma":0.00015479041,"threshold_uncertainty_score":0.24541865},"labels":[],"label_agreement":null},{"id":"W1977885450","doi":"10.3390/app3010267","title":"Spectral Shifts of Nonadiabatic High-Order Harmonic Generation","year":2013,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Compute Canada","keywords":"High harmonic generation; Attosecond; Extreme ultraviolet; Physics; Laser; Harmonic spectrum; Ultrashort pulse; Atomic physics; Electron; Cutoff; Optics; Quantum mechanics","score_opus":0.017442178680299333,"score_gpt":0.2500058383419526,"score_spread":0.23256365966165327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977885450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629436,0.000003002325,0.008634357,0.00066673185,0.00007393758,0.00019831126,0.000007873631,0.000011468878,0.027460689],"genre_scores_gemma":[0.9948241,3.3972668e-7,0.004500806,0.00008609792,0.00015546374,0.00014538731,0.000014623788,0.0000038188,0.00026934894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994315,0.0000060587354,0.00014711788,0.00016566218,0.000108528664,0.00014114747],"domain_scores_gemma":[0.99970466,0.000027342081,0.00007262816,0.00012219616,0.000035331243,0.00003785836],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000058952908,0.000066207926,0.00007837199,0.000042554766,0.00017645434,0.00008045161,0.00015819803,0.000010854397,0.0029244318],"category_scores_gemma":[7.047118e-7,0.000053180363,0.00002521627,0.0002565712,0.00011430061,0.00016404795,0.000019513529,0.000046428166,0.00046206106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.8286926e-7,0.00023356776,0.0028852173,0.0000053613567,0.00003226197,4.2648313e-8,0.00032243176,0.0011355644,0.4069168,0.56583583,0.0096370755,0.0129951965],"study_design_scores_gemma":[0.0007078714,0.00011874133,0.049622033,0.000020158983,0.000059348113,7.446433e-7,0.0018394452,0.023741907,0.77506715,0.14283803,0.005289336,0.0006952444],"about_ca_topic_score_codex":0.0008297372,"about_ca_topic_score_gemma":0.000016364953,"teacher_disagreement_score":0.42299777,"about_ca_system_score_codex":0.000007049011,"about_ca_system_score_gemma":0.0000421665,"threshold_uncertainty_score":0.99798703},"labels":[],"label_agreement":null},{"id":"W1988457727","doi":"10.3390/app2020260","title":"Magnetically Separable Base Catalysts: Heterogeneous Catalysis vs. Quasi-Homogeneous Catalysis","year":2012,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Catalysis; Monomer; Homogeneous; Base (topology); Ionic liquid; Silane; Magnetite; Homogeneous catalysis; Amine gas treating; Polymer chemistry; Heterogeneous catalysis; Chemical engineering; Chemistry; Ionic bonding; Materials science; Organic chemistry; Polymer; Ion","score_opus":0.015276327747502377,"score_gpt":0.24110433564653533,"score_spread":0.22582800789903296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988457727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98637086,0.0014061366,0.00053712574,0.00023687455,0.00069056137,0.00037543723,0.000075522425,0.00028117688,0.0100263255],"genre_scores_gemma":[0.9942533,0.00006155966,0.0037380022,0.0005620134,0.0004082887,0.00020283544,0.00012950021,0.000046863897,0.00059764663],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9947082,0.0001557617,0.0009037958,0.0012109955,0.0013330434,0.0016882317],"domain_scores_gemma":[0.9974608,0.00019092558,0.00038613586,0.0011971225,0.000105379055,0.0006596329],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028741872,0.0005516256,0.0008670407,0.00031196655,0.0010901917,0.00056187785,0.001515724,0.0001867192,0.004141675],"category_scores_gemma":[0.00010334788,0.00045113606,0.00026413106,0.0013235094,0.0010324208,0.00057478884,0.00043322268,0.0001287284,0.0043972298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074768075,0.00066837796,0.0008321767,0.00006581292,0.00006546596,0.000028859997,0.0010143063,0.0005495166,0.98986,0.0024187393,0.0016856989,0.0027362627],"study_design_scores_gemma":[0.0003093014,0.00018590076,0.00021881206,0.00001161064,0.00036183163,0.00013643873,0.00046717728,0.00017454804,0.99288493,0.00045670063,0.003948087,0.00084466225],"about_ca_topic_score_codex":0.0008132251,"about_ca_topic_score_gemma":0.00017906948,"teacher_disagreement_score":0.009428679,"about_ca_system_score_codex":0.000119493045,"about_ca_system_score_gemma":0.00017357271,"threshold_uncertainty_score":0.99979407},"labels":[],"label_agreement":null},{"id":"W1995955719","doi":"10.3390/app2020277","title":"Silicon-[18F]Fluorine Radiochemistry: Basics, Applications and Challenges","year":2012,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Positron emission tomography; Radiochemistry; Pet imaging; Nanotechnology; Chemistry; Materials science; Nuclear medicine; Medicine","score_opus":0.05708938946637223,"score_gpt":0.3199001635707909,"score_spread":0.26281077410441867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995955719","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3687062,0.027395958,0.01357711,0.11396138,0.00015501425,0.003350593,0.00002117083,0.0013745152,0.47145805],"genre_scores_gemma":[0.97531223,0.0017324405,0.021546993,0.0005411692,0.00030591516,0.0003886335,0.0000073630745,0.000007832344,0.0001574097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991019,0.0000050160443,0.00013932715,0.00026164312,0.0002202032,0.0002719556],"domain_scores_gemma":[0.9993343,0.00006855288,0.00004504537,0.0002537144,0.00002218665,0.00027625353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041087734,0.00009953134,0.00014816904,0.000041252766,0.00018551611,0.000018348344,0.00013698252,0.000042031435,0.000059647235],"category_scores_gemma":[0.000024221008,0.0000787316,0.00002249402,0.00021084366,0.00059012737,0.000056064735,0.000064098625,0.00011323205,0.000029561488],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093597555,0.00047681778,0.0072168247,0.00026149472,0.000027605694,9.5653e-7,0.00041803886,2.8624373e-7,0.1587157,0.6990757,0.0061084786,0.12768875],"study_design_scores_gemma":[0.00049728586,0.00006591904,0.0075991866,0.000041192165,0.000082193976,0.00013831345,0.00086902175,0.00019724002,0.10657709,0.0050556674,0.87855387,0.00032300668],"about_ca_topic_score_codex":0.0000038586923,"about_ca_topic_score_gemma":2.9855957e-7,"teacher_disagreement_score":0.8724454,"about_ca_system_score_codex":0.000014404992,"about_ca_system_score_gemma":0.000038205257,"threshold_uncertainty_score":0.32105815},"labels":[],"label_agreement":null},{"id":"W2001614266","doi":"10.3390/app2020453","title":"Fluorine Based Superhydrophobic Coatings","year":2012,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Contact angle; Nanoparticle; Fourier transform infrared spectroscopy; Surface modification; Chemical engineering; Coating; Surface roughness; Spin coating; Composite material; Nanotechnology","score_opus":0.03672252746354146,"score_gpt":0.26469241608340704,"score_spread":0.22796988861986558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001614266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97468436,0.00009140014,0.001088665,0.0003150933,0.00046487802,0.00016226988,0.0000044912126,0.00017738392,0.023011437],"genre_scores_gemma":[0.99174494,0.000002066782,0.007083386,0.00084500265,0.0001155047,0.000039093582,0.0000030881522,0.000009711914,0.00015718561],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827504,0.00005019253,0.00023422365,0.00034961713,0.00051538285,0.0005755416],"domain_scores_gemma":[0.9992939,0.0001432732,0.00006336607,0.00027603697,0.000031777454,0.00019160118],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014475288,0.00015116193,0.00016760312,0.00008413577,0.00051634863,0.00011653067,0.0004570629,0.000053843494,0.002579874],"category_scores_gemma":[0.000047522983,0.00011976427,0.000041785792,0.00049140357,0.00054317963,0.0002947815,0.000064229294,0.0000782529,0.0021392163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005543131,0.00006470446,0.0033406722,0.000004356598,4.578835e-7,2.2345262e-7,0.00033156518,0.000208118,0.9896412,0.0058605415,0.00038980402,0.00015282909],"study_design_scores_gemma":[0.00021917335,0.00002679496,0.0019070563,0.0000035998733,0.00000510489,0.0000027174756,0.0003584898,0.0011259678,0.9905759,0.00014694802,0.005406844,0.00022138863],"about_ca_topic_score_codex":0.00006205371,"about_ca_topic_score_gemma":0.000003628244,"teacher_disagreement_score":0.022854252,"about_ca_system_score_codex":0.000036404683,"about_ca_system_score_gemma":0.00007963199,"threshold_uncertainty_score":0.99863774},"labels":[],"label_agreement":null},{"id":"W2010303412","doi":"10.3390/app3010070","title":"Direct Electron Acceleration with Radially Polarized Laser Beams","year":2013,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval; University of Ottawa","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Compute Canada","keywords":"Laser; Collimated light; Physics; Attosecond; Electron; Optics; Acceleration; Cathode ray; Ultrashort pulse; Nuclear physics","score_opus":0.008735216666381716,"score_gpt":0.23114601584497715,"score_spread":0.22241079917859544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010303412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7527584,0.0000019548227,0.0025447581,0.00028851462,0.00009468034,0.00028155462,0.000005161302,0.00003739804,0.24398762],"genre_scores_gemma":[0.996813,8.006175e-7,0.0019891423,0.00011195045,0.0001431886,0.00010766338,0.00001644104,0.000006516011,0.0008112903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992547,0.00001083633,0.00011155617,0.000220172,0.00016527827,0.00023742775],"domain_scores_gemma":[0.99960697,0.000119665456,0.000063821855,0.00010660276,0.000040938026,0.00006197828],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008739461,0.00010313608,0.0001009998,0.000046432335,0.0003203005,0.0003106682,0.0001483397,0.000018471523,0.0019700443],"category_scores_gemma":[0.0000036444692,0.00007104978,0.00002449442,0.00023862229,0.00010202797,0.0003262797,0.00001788458,0.000078236204,0.00071855524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015113612,0.0015072208,0.07364963,0.000020814055,0.00028958285,0.000002764093,0.0012898067,0.011860532,0.49230137,0.3503371,0.040339533,0.028250499],"study_design_scores_gemma":[0.0020812717,0.00066422083,0.018282615,0.000035761295,0.00008513214,0.0000029326143,0.0013470068,0.0029607564,0.9312502,0.0112680225,0.031013435,0.0010086364],"about_ca_topic_score_codex":0.0009504102,"about_ca_topic_score_gemma":0.000036994003,"teacher_disagreement_score":0.4389488,"about_ca_system_score_codex":0.000012377432,"about_ca_system_score_gemma":0.000081865466,"threshold_uncertainty_score":0.9989423},"labels":[],"label_agreement":null},{"id":"W2031452860","doi":"10.3390/app2040801","title":"Power Management System for Load Banks Supplied by Pitch Controlled Wind Turbine System","year":2012,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de la Gaspésie; Royal Military College of Canada; Saint Mary's University","funders":"Faculty of Graduate Studies and Research, University of Alberta","keywords":"Turbine; Supervisor; Power management system; Power (physics); Electric power system; Automotive engineering; Computer science; Engineering; Electrical engineering; Control theory (sociology); Power management; Control (management); Mechanical engineering; Physics","score_opus":0.006490983524597647,"score_gpt":0.19794727334925785,"score_spread":0.1914562898246602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031452860","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29279914,0.0050556953,0.02840125,0.00021888582,0.007737943,0.011020707,0.00015242999,0.0025107318,0.6521032],"genre_scores_gemma":[0.9974639,0.0000017459502,0.00069001346,0.000039482005,0.00039249272,0.0008453158,0.000010853295,0.000051989704,0.00050421193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99682915,0.00003888003,0.00077003136,0.00047638995,0.00084260275,0.0010429254],"domain_scores_gemma":[0.998856,0.00021732478,0.00016699021,0.00046303662,0.00005688055,0.00023974312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023876776,0.00040953988,0.000835496,0.00015467503,0.00030146245,0.00020764714,0.00065989175,0.00014381885,0.00003434517],"category_scores_gemma":[0.00001089168,0.00031696714,0.00016518933,0.0003666686,0.00010279669,0.00023087637,0.000063162115,0.00012464687,0.0002715038],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011266038,0.00044048546,0.0020211674,0.0071061794,0.0024063766,0.00002142306,0.004181835,0.030616714,0.16447367,0.5436015,0.24018975,0.0038143166],"study_design_scores_gemma":[0.11985797,0.0009670973,0.0048722522,0.0016590231,0.001875618,0.00027344536,0.054431334,0.20833482,0.06610404,0.00033142616,0.53149664,0.009796327],"about_ca_topic_score_codex":0.000010814837,"about_ca_topic_score_gemma":0.0000015874961,"teacher_disagreement_score":0.70466477,"about_ca_system_score_codex":0.00040764897,"about_ca_system_score_gemma":0.000026551326,"threshold_uncertainty_score":0.99992824},"labels":[],"label_agreement":null},{"id":"W2034206929","doi":"10.3390/app4030390","title":"Effect of Two-Photon Stark Shift on the Multi-Frequency Raman Spectra","year":2014,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Raman spectroscopy; Raman scattering; Coherent anti-Stokes Raman spectroscopy; Coherence (philosophical gambling strategy); Laser; Raman cooling; Optics; Photon; Ultrashort pulse; Materials science; Atomic physics; Adiabatic process; Spectral line; Physics; Quantum mechanics","score_opus":0.012466187072624292,"score_gpt":0.2877869147608795,"score_spread":0.27532072768825516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034206929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8929848,0.0000012093302,0.0043013487,0.00047202318,0.00006066557,0.00027553554,0.000009975945,0.000016228261,0.101878196],"genre_scores_gemma":[0.9988646,1.2695192e-7,0.00073661236,0.000111469126,0.00008949583,0.00012243203,0.0000036314013,0.000004834585,0.000066831635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929434,0.000044750006,0.00013746342,0.00021193559,0.00015229954,0.0001592036],"domain_scores_gemma":[0.9992001,0.00040515923,0.00009241985,0.00025979267,0.00000998391,0.00003254022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049529586,0.00009882181,0.0001102078,0.000034167042,0.0003153842,0.00006529593,0.00034816746,0.000010218889,0.00050180533],"category_scores_gemma":[0.0000037520717,0.000055643086,0.00005523315,0.000211072,0.00021839819,0.000051098832,0.000026677515,0.00009858648,0.0001867993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006203828,0.00012911274,0.005857993,0.0000058304436,0.000016075606,3.8013408e-8,0.00021655043,0.00016729161,0.0370346,0.9510857,0.00045748818,0.005023141],"study_design_scores_gemma":[0.0008264589,0.00042652266,0.0039380263,0.000034057157,0.00003985812,3.190963e-7,0.0003558374,0.0021388175,0.9174613,0.07018221,0.0042934963,0.00030312012],"about_ca_topic_score_codex":0.0002856696,"about_ca_topic_score_gemma":0.000013412661,"teacher_disagreement_score":0.8809035,"about_ca_system_score_codex":0.0000066674847,"about_ca_system_score_gemma":0.000015106368,"threshold_uncertainty_score":0.54944164},"labels":[],"label_agreement":null},{"id":"W2080561295","doi":"10.3390/app3020469","title":"Effect of the Presence of Nonionic Surfactant Brij35 on the Mobility of Metribuzin in Soil","year":2013,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Zagazig University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Lysimeter; Metribuzin; Soil water; Environmental science; Chemistry; Environmental chemistry; Agronomy; Soil science; Biology","score_opus":0.009627808027933784,"score_gpt":0.2218936015062526,"score_spread":0.2122657934783188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080561295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98826736,0.000051086543,0.000004307913,0.00020936504,0.000027735565,0.00049416313,0.000003058031,0.0000026681512,0.010940273],"genre_scores_gemma":[0.9998362,0.000015779075,0.00003527291,0.000041697815,0.0000026287596,0.00004123501,9.787954e-8,0.0000023030032,0.000024794748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986493,0.00011752072,0.0002649282,0.0002230627,0.0005499039,0.00019527377],"domain_scores_gemma":[0.99853325,0.0010115015,0.00016951286,0.00026137385,0.0000027077683,0.000021649874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014171784,0.00009887757,0.00020083119,0.000019316354,0.00012063836,0.0000062127783,0.0006348916,0.00002703051,0.00079519633],"category_scores_gemma":[0.00014447264,0.000045672812,0.0000525167,0.000552505,0.0023712032,0.00007041573,0.0003596672,0.00008823214,0.000040813797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022097827,0.00016175101,0.5078377,0.000022710667,0.0000075413236,1.1687827e-7,0.00042930094,0.00759722,0.4803237,0.000766304,0.00017167295,0.0026598603],"study_design_scores_gemma":[0.000079667494,0.00014828453,0.57797647,0.000014375837,0.0000042845636,1.4477243e-7,0.00014379297,0.00021513352,0.4205702,0.00079986855,0.000008872781,0.00003893485],"about_ca_topic_score_codex":0.003512835,"about_ca_topic_score_gemma":0.0002953337,"teacher_disagreement_score":0.07013871,"about_ca_system_score_codex":0.000045613568,"about_ca_system_score_gemma":0.000008788204,"threshold_uncertainty_score":0.8736797},"labels":[],"label_agreement":null},{"id":"W2172966071","doi":"10.3390/app5041134","title":"An Efficient Power Scheduling Scheme for Residential Load Management in Smart Homes","year":2015,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"King Saud University","keywords":"Knapsack problem; Mathematical optimization; Regret; Maximization; Computer science; Electricity; Scheduling (production processes); Scheme (mathematics); Convergence (economics); Engineering; Mathematics; Electrical engineering; Economics","score_opus":0.0198468052039694,"score_gpt":0.25312112771627393,"score_spread":0.23327432251230454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172966071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019492,0.00018449602,0.03949027,0.0000934569,0.0011398648,0.00054840336,0.0000013921828,0.0003119571,0.056280956],"genre_scores_gemma":[0.9615598,0.000006343499,0.038068715,0.000057050158,0.000076356686,0.00015899181,0.0000028592965,0.00001811806,0.000051789535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984148,0.000009770407,0.0002295617,0.0003746302,0.0005282732,0.00044295428],"domain_scores_gemma":[0.999549,0.00002420393,0.000026365817,0.00025872563,0.00002685056,0.00011485837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011494277,0.0001558944,0.00014082866,0.00024271435,0.0000966426,0.00013669283,0.00046219878,0.000040774812,0.000014600116],"category_scores_gemma":[0.0000120589675,0.0001517369,0.000029609828,0.00054306706,0.000104762476,0.00013208545,0.00009169428,0.00006483066,0.0000472047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001380987,0.000039338363,0.00030655417,0.000022655799,0.000016859973,0.0000038525377,0.00035449024,0.9709588,0.00095919316,0.025634091,0.0009749617,0.00071535195],"study_design_scores_gemma":[0.0023052571,0.00015240746,0.005882022,0.000048842336,0.000027659176,0.0000017041501,0.0057788542,0.9559415,0.0074144625,0.0029527242,0.018669268,0.00082532957],"about_ca_topic_score_codex":0.000021501337,"about_ca_topic_score_gemma":0.00006145846,"teacher_disagreement_score":0.059610575,"about_ca_system_score_codex":0.00016590071,"about_ca_system_score_gemma":0.00003376872,"threshold_uncertainty_score":0.61876506},"labels":[],"label_agreement":null},{"id":"W2178800829","doi":"10.3390/app5041164","title":"Contribution of TEMPO-Oxidized Cellulose Gel in the Formation of Flower-Like Zinc Oxide Superstructures: Characterization of the TOCgel/ZnO Composite Films","year":2015,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"X-ray photoelectron spectroscopy; Fourier transform infrared spectroscopy; Materials science; Thermogravimetric analysis; Chemical engineering; Zinc; Composite number; Scanning electron microscope; Nucleation; Photocatalysis; Nanorod; Aqueous solution; Oxide; Nanotechnology; Composite material; Chemistry; Organic chemistry; Catalysis; Metallurgy","score_opus":0.02398829799132056,"score_gpt":0.27182095669000284,"score_spread":0.24783265869868226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178800829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996792,0.00006567702,0.0015771406,0.00017149592,0.00012559892,0.0006937818,0.000039179482,0.00001055022,0.0005245826],"genre_scores_gemma":[0.99901146,0.000018960562,0.0008547311,0.000037334117,0.000013238774,0.000036598154,0.000014184392,0.0000037615143,0.000009705967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788934,0.00018882334,0.0005079789,0.0002081493,0.00094248855,0.0002632086],"domain_scores_gemma":[0.9988411,0.00020526185,0.00041767964,0.00027353177,0.00022697658,0.00003542838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957434,0.00012047805,0.00027810343,0.00009587884,0.00016123535,0.000029637851,0.0007194196,0.000048995193,0.00001282062],"category_scores_gemma":[0.00020156374,0.00006588782,0.000048218197,0.00072424987,0.001041795,0.000355396,0.00017323777,0.00008505017,0.0000036692113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075592165,0.00003946825,0.00039035786,0.000033807384,0.0000023607195,1.9742397e-7,0.0026903136,0.00034153071,0.99318755,0.0031693224,0.000024273411,0.0000452414],"study_design_scores_gemma":[0.00054108514,0.00005869892,0.0038474377,0.000037713857,0.00000820503,0.0000015314475,0.0024317566,0.0007582196,0.9906735,0.0015054584,0.00006290558,0.000073496914],"about_ca_topic_score_codex":0.00007222354,"about_ca_topic_score_gemma":0.000046061705,"teacher_disagreement_score":0.0034570799,"about_ca_system_score_codex":0.000044950815,"about_ca_system_score_gemma":0.00011215887,"threshold_uncertainty_score":0.38385373},"labels":[],"label_agreement":null},{"id":"W2192061331","doi":"10.3390/app5041756","title":"A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid","year":2015,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Computer science; Artificial neural network; Sigmoid function; MATLAB; Feature selection; Smart grid; Grid; Feature (linguistics); Selection (genetic algorithm); Artificial intelligence; Data mining; Engineering","score_opus":0.0652869732839335,"score_gpt":0.24372597385873554,"score_spread":0.17843900057480205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192061331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76376206,0.00028136544,0.22546783,0.00017052036,0.0009891071,0.00041597642,0.000012939023,0.00045986963,0.008440361],"genre_scores_gemma":[0.98443586,9.3078853e-7,0.014867496,0.00008476528,0.00047908514,0.0000673444,0.000008704992,0.000018404417,0.00003739439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988655,0.000010174522,0.00016212519,0.0002778332,0.0002369116,0.0004474637],"domain_scores_gemma":[0.9996108,0.00010436936,0.000042219013,0.00007048193,0.00004820054,0.00012396212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007115198,0.00016623276,0.00015911151,0.000060782368,0.0003203824,0.0001340005,0.00012793537,0.00008855868,8.950901e-7],"category_scores_gemma":[0.0000401738,0.00014939051,0.00003382614,0.00037591328,0.00008675708,0.0001421319,0.000021636153,0.00013540834,9.3170814e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002319366,0.0000049493237,0.000094933566,0.000014991732,0.000004429527,3.2260354e-7,0.0002795654,0.98647326,0.0009921808,0.0018929263,0.001289071,0.00893019],"study_design_scores_gemma":[0.00025785746,0.00005163897,0.000014905649,0.000016269658,0.000011318568,0.0000044358294,0.000045014986,0.9950487,0.0010746181,0.002927413,0.00035994506,0.00018790744],"about_ca_topic_score_codex":0.00001447199,"about_ca_topic_score_gemma":0.00029868374,"teacher_disagreement_score":0.22067384,"about_ca_system_score_codex":0.000045101177,"about_ca_system_score_gemma":0.000093747054,"threshold_uncertainty_score":0.60919684},"labels":[],"label_agreement":null},{"id":"W2265740139","doi":"10.3390/app6020050","title":"Dynamics of Carrier Transport in Nanoscale Materials: Origin of Non-Drude Behavior in the Terahertz Frequency Range","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Terahertz technology and applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Univerzita Pardubice; Akademie Věd České Republiky","keywords":"Terahertz radiation; Drude model; Materials science; Condensed matter physics; Nanoscopic scale; Nanomaterials; Conductivity; Lorentz transformation; Charge carrier; Nanotechnology; Optoelectronics; Physics; Quantum mechanics","score_opus":0.011092325002319577,"score_gpt":0.2416278242637717,"score_spread":0.23053549926145211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265740139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972159,0.000024879704,0.00056612765,0.00018211582,0.000047300353,0.00025153632,0.000056117682,0.000028909952,0.0016270749],"genre_scores_gemma":[0.9990735,0.000017523294,0.0006609781,0.0000093412855,0.0000061235596,0.00021652567,0.0000020502746,0.0000053997637,0.000008539182],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993374,0.000007918181,0.00025662876,0.00013199281,0.00011100752,0.00015509808],"domain_scores_gemma":[0.9997164,0.00004583347,0.000036120484,0.00018357912,0.000006979928,0.000011067433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002855395,0.00007836871,0.00014472345,0.000110878726,0.00002613945,0.0000034996756,0.00042331545,0.00008025329,0.000042752654],"category_scores_gemma":[0.0000025842864,0.00004714633,0.000017975186,0.00042077602,0.0003507053,0.00006362946,0.000007957627,0.000056470926,0.0000025990564],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040138843,0.000058637295,0.09202768,0.000019705936,0.0000026219261,0.000001849905,0.0007436777,0.000015900081,0.8699877,0.02149952,0.000010162717,0.015628476],"study_design_scores_gemma":[0.00082693703,0.00006441286,0.5129216,0.000085411695,0.000020747273,0.000004774671,0.0010218804,0.00019273465,0.47485134,0.009252478,0.000453256,0.00030444385],"about_ca_topic_score_codex":0.00012422695,"about_ca_topic_score_gemma":0.0009131958,"teacher_disagreement_score":0.4208939,"about_ca_system_score_codex":0.000022313166,"about_ca_system_score_gemma":0.000018242568,"threshold_uncertainty_score":0.19225717},"labels":[],"label_agreement":null},{"id":"W2342593223","doi":"10.3390/app6050125","title":"Augmenting Environmental Interaction in Audio Feedback Systems","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Timbre; Audio feedback; Computer science; Audio signal; Reverberation; Feedback loop; SIGNAL (programming language); Speech recognition; Acoustics; Noise (video); Ambient noise level; Environmental noise; Audio signal processing; Artificial intelligence; Sound (geography); Speech coding; Physics","score_opus":0.017531993713506222,"score_gpt":0.22596445794452252,"score_spread":0.2084324642310163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342593223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9289842,0.00014954509,0.044921145,0.001089928,0.00071299827,0.0001539613,6.796709e-7,0.00014621932,0.023841297],"genre_scores_gemma":[0.99841064,0.000018857054,0.0012059242,0.00006575638,0.00002497855,0.000029748113,7.343683e-8,0.000001496359,0.00024252919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990785,0.000018589797,0.0001523346,0.0003348721,0.00018094436,0.00023477331],"domain_scores_gemma":[0.9996394,0.00010028345,0.00006671095,0.00017124468,0.0000024805572,0.000019868558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044169955,0.00007600028,0.00009730553,0.000112261274,0.00023555754,0.00007013479,0.00055996864,0.000040241463,0.000011840075],"category_scores_gemma":[0.0000109333305,0.00004802247,0.000015846083,0.00023616437,0.0002885831,0.00032686428,0.00024083474,0.00005760219,0.00012702978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007594304,0.000113516464,0.04082792,0.000010782932,0.000020871703,0.000010958268,0.0031839935,0.000098341276,0.063300446,0.7309012,0.0014233907,0.16010098],"study_design_scores_gemma":[0.008734715,0.0011567505,0.44030598,0.0010083643,0.000042609106,0.00031075734,0.03728052,0.037099265,0.081228115,0.2008401,0.18696761,0.0050251936],"about_ca_topic_score_codex":0.000012108372,"about_ca_topic_score_gemma":0.000013976096,"teacher_disagreement_score":0.53006107,"about_ca_system_score_codex":0.00005717049,"about_ca_system_score_gemma":0.0000130019225,"threshold_uncertainty_score":0.19582994},"labels":[],"label_agreement":null},{"id":"W2344925178","doi":"10.3390/app6050122","title":"An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Computer science; Smart grid; Knapsack problem; Demand response; Carbon footprint; Scheduling (production processes); Architecture; MATLAB; Grid; Distributed computing; Embedded system; Real-time computing; Electricity; Engineering; Operating system; Greenhouse gas; Algorithm; Operations management","score_opus":0.008204597729595357,"score_gpt":0.2133013636004495,"score_spread":0.20509676587085413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344925178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17808999,0.000051210227,0.74512684,0.00014888136,0.00094450935,0.0009901721,0.0000059403596,0.0005425695,0.07409988],"genre_scores_gemma":[0.9678804,0.00001660223,0.031314652,0.000042933858,0.00011449512,0.00054210343,0.0000022073732,0.000018022554,0.00006856525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878067,0.000014642476,0.00022001087,0.00036440304,0.00022160527,0.00039869305],"domain_scores_gemma":[0.99956024,0.00007946316,0.0000286387,0.0002576863,0.000007803409,0.000066184606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000524368,0.00016014621,0.00017741419,0.0002068491,0.000094028794,0.000053771702,0.00041834472,0.00003726819,0.000008850625],"category_scores_gemma":[0.0000037528657,0.00011015714,0.00003240862,0.00029871636,0.00008718259,0.00010581798,0.000047720783,0.000036065037,0.000019806956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031544783,0.000017975242,0.000029922938,0.00012425851,0.000034900077,0.0000035840915,0.00013633301,0.9282951,0.024452692,0.024342692,0.0004731065,0.022057902],"study_design_scores_gemma":[0.017779456,0.00061532547,0.010563481,0.0010455339,0.00022275111,0.000014020541,0.0059402375,0.39894477,0.49436387,0.012256178,0.054188833,0.004065569],"about_ca_topic_score_codex":0.0000055112214,"about_ca_topic_score_gemma":0.000054854434,"teacher_disagreement_score":0.7897904,"about_ca_system_score_codex":0.000088433764,"about_ca_system_score_gemma":0.000006397836,"threshold_uncertainty_score":0.44920775},"labels":[],"label_agreement":null},{"id":"W2424162763","doi":"10.3390/app6060177","title":"The Spotting Distribution of Wildfires","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Agence Nationale de la Recherche; Pacific Institute for the Mathematical Sciences","keywords":"Spotting; Meteorology; Environmental science; Computer science; Geography; Artificial intelligence","score_opus":0.006039934634921217,"score_gpt":0.20309874353121976,"score_spread":0.19705880889629854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2424162763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829461,0.00001681661,0.00032759891,0.00047791805,0.00010333623,0.000120527366,0.0000027410124,0.000020759482,0.015984233],"genre_scores_gemma":[0.999765,0.000005625556,0.00008344653,0.000017088552,0.00001933476,0.0000133496815,2.3911463e-7,0.0000021553544,0.00009378998],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991341,0.00002562462,0.00013427119,0.00017566241,0.00032849866,0.00020181098],"domain_scores_gemma":[0.99934274,0.00038823832,0.0000939805,0.00014303981,0.000002367928,0.000029610032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010566656,0.000054500848,0.000060334667,0.0000059983854,0.0003532928,0.000022900476,0.00037326946,0.000018340961,0.00006105685],"category_scores_gemma":[0.0000875894,0.000023983472,0.000019452757,0.00024170804,0.0009066275,0.00010358772,0.00010176095,0.000020664507,0.00024119005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012913398,0.000026807093,0.140536,0.0000051118723,0.000004709338,5.3877324e-7,0.00016343813,0.000046130383,0.40868986,0.02094703,0.0032845254,0.42628297],"study_design_scores_gemma":[0.00038647445,0.00015605452,0.74227,0.000057841437,0.000008443611,0.000006246418,0.00032178947,0.0015256,0.21122147,0.0076214033,0.036115743,0.00030890695],"about_ca_topic_score_codex":0.00017094424,"about_ca_topic_score_gemma":0.000068046626,"teacher_disagreement_score":0.60173404,"about_ca_system_score_codex":0.000042561303,"about_ca_system_score_gemma":0.0000071168547,"threshold_uncertainty_score":0.3340507},"labels":[],"label_agreement":null},{"id":"W2462927502","doi":"10.3390/app6070194","title":"Thermal Energy Storage for Building Load Management: Application to Electrically Heated Floor","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Thermal energy storage; Architectural engineering; Environmental science; Materials science; Engineering; Physics","score_opus":0.01917626822546392,"score_gpt":0.26992344942132,"score_spread":0.2507471811958561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462927502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36201096,0.000066426415,0.62596256,0.00026450743,0.000114572715,0.00059769046,0.000012672324,0.00030613152,0.010664514],"genre_scores_gemma":[0.99468446,0.000017014841,0.0042522643,0.00008452922,0.000108962646,0.0007159586,0.0000015559269,0.00001705701,0.00011820855],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988879,0.000008104228,0.00012550416,0.00027328142,0.00029421347,0.00041101142],"domain_scores_gemma":[0.9996646,0.000051177223,0.00001440075,0.0001535469,0.000028544378,0.00008772268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004023201,0.000101800215,0.00010080167,0.00014243944,0.00012647996,0.00006772865,0.00039191215,0.000033816337,0.000034769415],"category_scores_gemma":[0.00000981985,0.00007231821,0.00001827245,0.0004993207,0.000051331455,0.0000827932,0.00005636153,0.000019344108,0.00006598762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012903713,0.0000071663617,7.8046986e-7,0.000013919515,0.000007244873,4.1498657e-7,0.000027689044,0.0015028807,0.9003414,0.008986052,0.00032985333,0.088769704],"study_design_scores_gemma":[0.00033976667,0.000049331764,0.0000751454,0.000012714387,0.000004495237,4.051283e-7,0.000014984122,0.0073996894,0.9729376,0.0013581957,0.017622175,0.00018550556],"about_ca_topic_score_codex":0.000010001519,"about_ca_topic_score_gemma":0.000006257815,"teacher_disagreement_score":0.6326735,"about_ca_system_score_codex":0.00012507537,"about_ca_system_score_gemma":0.000016700844,"threshold_uncertainty_score":0.2949051},"labels":[],"label_agreement":null},{"id":"W2469287864","doi":"10.3390/app6070191","title":"Class B Fire-Extinguishing Performance Evaluation of a Compressed Air Foam System at Different Air-to-Aqueous Foam Solution Mixing Ratios","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aqueous solution; Compressed air; Materials science; Composite material; Mixing (physics); Foaming agent; Pulmonary surfactant; Metal foam; Blowing agent; Chemical engineering; Polyurethane; Chemistry; Engineering; Aluminium; Organic chemistry; Porosity","score_opus":0.026519567399635978,"score_gpt":0.2562398626609103,"score_spread":0.22972029526127433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469287864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865499,0.00009332303,0.0055568353,0.00015671416,0.00025039728,0.000508575,0.0000074959744,0.00012725717,0.0067494675],"genre_scores_gemma":[0.99942356,0.000014635461,0.0003257469,0.000011334682,0.00006754044,0.000104552055,0.000003830274,0.000014411481,0.00003436462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997972,0.000047314144,0.00031608294,0.0002880802,0.0009893285,0.00038721054],"domain_scores_gemma":[0.99933773,0.00015856128,0.00007378526,0.00021913412,0.00012568415,0.00008512149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012555952,0.00014576864,0.00020378236,0.000109117405,0.0003419487,0.000033101504,0.00035281843,0.00006156549,0.000014006647],"category_scores_gemma":[0.000050854018,0.00010320906,0.000041119813,0.00030187826,0.00011630846,0.00013461108,0.000119183744,0.00007887007,0.000030353971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055897595,0.000044266122,0.0033806588,0.00041649883,0.000042873293,0.0000010192351,0.0013836764,0.27519646,0.5786109,0.0030103428,0.00036880997,0.13748862],"study_design_scores_gemma":[0.00035553338,0.000054341806,0.010371265,0.00016418134,0.000011704752,0.0000021386654,0.0001391239,0.9642726,0.024348788,0.000048247875,0.000076249176,0.00015583064],"about_ca_topic_score_codex":0.00001907964,"about_ca_topic_score_gemma":0.000065757515,"teacher_disagreement_score":0.6890761,"about_ca_system_score_codex":0.00041621868,"about_ca_system_score_gemma":0.00004298024,"threshold_uncertainty_score":0.42087433},"labels":[],"label_agreement":null},{"id":"W2526662471","doi":"10.3390/app6110332","title":"Further Investigation on Laminar Forced Convection of Nanofluid Flows in a Uniformly Heated Pipe Using Direct Numerical Simulations","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Nanofluid; Laminar flow; Materials science; Thermodynamics; Reynolds number; Heat transfer coefficient; Heat transfer; Forced convection; Nanoparticle; Mechanics; Nanotechnology; Turbulence; Physics","score_opus":0.02941299422155367,"score_gpt":0.23442182487360788,"score_spread":0.20500883065205422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526662471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98322314,0.000020401108,0.012862487,0.00008407321,0.00011503755,0.00020198223,0.000004960453,0.00009004572,0.0033979004],"genre_scores_gemma":[0.99935305,0.000015464528,0.0005360873,0.000024277395,0.000026974414,0.000010678899,0.0000016630665,0.000011130397,0.000020689531],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992155,0.000021106516,0.00021755203,0.00015890552,0.0001900495,0.00019691166],"domain_scores_gemma":[0.9997204,0.0001103833,0.000013287451,0.000088667366,0.000021958635,0.00004529989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020396512,0.00009852609,0.00014002186,0.000205067,0.000085370644,0.000011936131,0.00008508063,0.000066324224,0.00004180974],"category_scores_gemma":[0.000010761079,0.00007295794,0.000025079156,0.0006553531,0.00012723097,0.00014328233,0.0000048828024,0.000043901015,0.00001020659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012366281,0.000011844958,0.0011680946,0.00000946801,0.000004642833,2.5231873e-7,0.0005907007,0.0347212,0.96027255,0.0020956479,0.000008139079,0.0011050683],"study_design_scores_gemma":[0.00066172186,0.00010404802,0.0019043231,0.00011006621,0.000010701063,7.9871376e-7,0.00012733709,0.12268616,0.8730847,0.0007442028,0.00034776624,0.0002181556],"about_ca_topic_score_codex":0.000060012477,"about_ca_topic_score_gemma":0.000055737055,"teacher_disagreement_score":0.08796497,"about_ca_system_score_codex":0.00006848859,"about_ca_system_score_gemma":0.000042526615,"threshold_uncertainty_score":0.29751384},"labels":[],"label_agreement":null},{"id":"W2562965105","doi":"10.3390/app7010003","title":"Automated Cart with VIS/NIR Hyperspectral Reflectance and Fluorescence Imaging Capabilities","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Centers for Disease Control and Prevention; University of Maryland, Baltimore County; U.S. Department of Agriculture","keywords":"Hyperspectral imaging; Optics; Laser; Stepper; Materials science; Fluorescence; Remote sensing; Artificial intelligence; Computer science; Computer vision; Geology; Physics","score_opus":0.010804442626618506,"score_gpt":0.26235729722003653,"score_spread":0.25155285459341803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562965105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93091327,0.00040875052,0.000094543175,0.0006388085,0.000015713087,0.000038969272,0.000005185812,0.00036614435,0.06751859],"genre_scores_gemma":[0.9966979,0.000041107538,0.0027032811,0.000054034565,0.00004601406,0.000017266091,4.890077e-7,0.000008312798,0.00043157185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987012,0.0000052009536,0.00013289283,0.0004795369,0.00029461007,0.00038657078],"domain_scores_gemma":[0.999484,0.00014485128,0.00006603489,0.00019045119,0.00003223984,0.000082431085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013761943,0.00015507755,0.00017753626,0.000086680106,0.0002909628,0.00008549223,0.00027326596,0.000033385546,0.00022756314],"category_scores_gemma":[0.000036661822,0.00008939873,0.000021264197,0.0005631961,0.0013049319,0.00016982981,0.00004011748,0.00006768044,0.00001269093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014686383,0.000015920676,0.0073248497,0.000017386197,0.000012488312,0.0000031270272,0.00022746083,0.0000031422421,0.9839982,0.0073339413,0.00017974101,0.00086904987],"study_design_scores_gemma":[0.00033567596,0.000031348318,0.0009866882,0.00003453411,0.00003702902,0.00003042011,0.0033374606,0.00046635457,0.9931102,0.0011704679,0.00019809755,0.00026174338],"about_ca_topic_score_codex":0.000060846407,"about_ca_topic_score_gemma":0.000021583344,"teacher_disagreement_score":0.06708702,"about_ca_system_score_codex":0.000063376596,"about_ca_system_score_gemma":0.00007784031,"threshold_uncertainty_score":0.48080763},"labels":[],"label_agreement":null},{"id":"W2582943917","doi":"10.3390/app7020130","title":"Supercooled Water Droplet Impacting Superhydrophobic Surfaces in the Presence of Cold Air Flow","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supercooling; Wetting; Materials science; Drop (telecommunication); Contact angle; Air water; Ice nucleus; Nucleation; Thermodynamics; Mechanics; Composite material; Physics","score_opus":0.034684014815688675,"score_gpt":0.27757724128511396,"score_spread":0.2428932264694253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582943917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924003,0.00003996818,0.000039066897,0.0011591943,0.00026722127,0.00038344442,0.000011325096,0.00003410317,0.005665396],"genre_scores_gemma":[0.99889314,0.000013641735,0.0007438771,0.00018445395,0.00003371755,0.000039164843,0.0000016348934,0.0000083659925,0.000082026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976235,0.00015941686,0.00040336963,0.0005196881,0.00073381705,0.0005602215],"domain_scores_gemma":[0.9985587,0.00030866888,0.0001246556,0.0008842611,0.000054019896,0.00006968175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036085695,0.00018714707,0.00029650095,0.00008640808,0.001276837,0.00037891377,0.002192218,0.0000753294,0.00030178804],"category_scores_gemma":[0.00017204696,0.00010311567,0.00005828482,0.00020030845,0.001510731,0.00055701536,0.00021831645,0.0001513899,0.0001688427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015997022,0.000059558053,0.006266733,0.00001195048,0.0000015372804,0.0000028640159,0.004508803,0.0030221299,0.9848873,0.0010815775,0.000077678276,0.000063873056],"study_design_scores_gemma":[0.00032618834,0.000048756527,0.012140553,0.000017618266,0.000005988569,0.000004375722,0.0030453824,0.0060234657,0.9774761,0.00035259506,0.00035980146,0.00019918234],"about_ca_topic_score_codex":0.0012302098,"about_ca_topic_score_gemma":0.00031874378,"teacher_disagreement_score":0.0074112057,"about_ca_system_score_codex":0.000026572416,"about_ca_system_score_gemma":0.00009573743,"threshold_uncertainty_score":0.9820527},"labels":[],"label_agreement":null},{"id":"W2582958878","doi":"10.3390/app7020113","title":"Importance of Physical and Physiological Parameters in Simulated Particle Transport in the Alveolar Zone of the Human Lung","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Particle (ecology); Environmental science; Medicine; Biology; Ecology","score_opus":0.04783827229081939,"score_gpt":0.32171184556566107,"score_spread":0.2738735732748417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582958878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988662,0.000020118368,0.0000012978135,0.00017685824,0.000007641411,0.0001973596,5.3097125e-7,0.000002397945,0.00072761095],"genre_scores_gemma":[0.9997994,0.0000017340153,0.000013987331,0.00016694012,0.000007889584,0.0000033560227,2.5769566e-7,0.0000012450469,0.0000052344476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994197,0.00002545104,0.00015534562,0.00012230559,0.00018257188,0.00009464558],"domain_scores_gemma":[0.9996382,0.000050089617,0.00010043176,0.00018596118,0.0000104715045,0.000014828278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041015234,0.00004628077,0.0001421596,0.00001732711,0.00012911615,0.0000057730595,0.00018588796,0.000022132072,0.000002883773],"category_scores_gemma":[0.000022051834,0.000021392996,0.00003083428,0.0001294565,0.00095699535,0.000040104005,0.000017779188,0.00008644145,2.666506e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027671007,0.00017865912,0.73366743,0.000022078815,0.000004867013,0.000003815903,0.0023331232,0.0013463418,0.25960863,0.0025822907,0.0000054699685,0.00021961056],"study_design_scores_gemma":[0.00046823986,0.000053521224,0.9573468,0.000023042941,0.000009073272,4.6220677e-7,0.00046083287,0.004607872,0.03683107,0.0001641441,0.0000034911993,0.00003147924],"about_ca_topic_score_codex":0.00003523289,"about_ca_topic_score_gemma":0.000036971145,"teacher_disagreement_score":0.22367933,"about_ca_system_score_codex":0.0000039148204,"about_ca_system_score_gemma":0.000019899526,"threshold_uncertainty_score":0.35260892},"labels":[],"label_agreement":null},{"id":"W2588252986","doi":"10.3390/app7020176","title":"Development of Probabilistic Reliability Models of Photovoltaic System Topologies for System Adequacy Evaluation","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Taibah University","keywords":"Photovoltaic system; Grid-connected photovoltaic power system; Network topology; Maximum power point tracking; Electric power system; Reliability (semiconductor); Reliability engineering; Engineering; Computer science; Electronic engineering; Electrical engineering; Topology (electrical circuits); Inverter; Power (physics); Voltage","score_opus":0.06468795760306281,"score_gpt":0.2840442502205778,"score_spread":0.21935629261751496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588252986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8845122,0.000161652,0.08445412,0.000011621506,0.00076995126,0.0024531542,0.000022740876,0.00019994356,0.027414646],"genre_scores_gemma":[0.980046,0.0000013543213,0.019400904,7.576292e-7,0.0000141541395,0.00052212714,0.0000014845212,0.0000067435426,0.0000065061845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984265,0.000023961602,0.0005902978,0.0002948534,0.00042422678,0.00024016335],"domain_scores_gemma":[0.9987595,0.00015868561,0.0002812442,0.00055096793,0.00021289586,0.000036672354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036187111,0.00012996868,0.00035987442,0.000054253032,0.0003261222,0.00003705503,0.0006187775,0.00007323468,0.0000013027926],"category_scores_gemma":[0.0002382037,0.00010318907,0.000056615077,0.000091194044,0.00043997786,0.00018844429,0.00006687554,0.000042009666,0.0000020293385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008902139,0.00010616667,0.00040501333,0.024110245,0.000084586376,3.1677345e-7,0.005958746,0.44351682,0.08663606,0.42853865,0.00011779176,0.010436561],"study_design_scores_gemma":[0.0005086713,0.000057698147,0.00093741255,0.00064552267,0.00004688216,0.0000018214866,0.006438506,0.8853646,0.10074289,0.0048185135,0.00017560803,0.0002619032],"about_ca_topic_score_codex":0.000039796756,"about_ca_topic_score_gemma":0.000034651748,"teacher_disagreement_score":0.44184774,"about_ca_system_score_codex":0.00023403125,"about_ca_system_score_gemma":0.00020302147,"threshold_uncertainty_score":0.42079282},"labels":[],"label_agreement":null},{"id":"W2592352221","doi":"10.3390/app7030242","title":"Synthesis and Physical Properties of Polyhydroxyalkanoate Polymers with Different Monomer Compositions by Recombinant Pseudomonas putida LS46 Expressing a Novel PHA SYNTHASE (PhaC116) Enzyme","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"Genome Canada","keywords":"Pseudomonas putida; Polyhydroxyalkanoates; Biochemistry; Monomer; Recombinant DNA; Chemistry; Polymer; Biology; Enzyme; Gene; Organic chemistry; Bacteria","score_opus":0.0327516017478856,"score_gpt":0.23433560312373794,"score_spread":0.20158400137585233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592352221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415994,0.0027538121,0.0002764436,0.0007972672,0.00012685679,0.00023463734,0.000059824037,0.00004906702,0.0015421748],"genre_scores_gemma":[0.9989091,0.000047394176,0.0006815833,0.00004929896,0.000039342274,0.00013738504,8.8443863e-7,0.000020843217,0.000114158865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787056,0.000059149235,0.00032853542,0.00067171955,0.00054430607,0.0005257495],"domain_scores_gemma":[0.9987267,0.00014152983,0.00040429833,0.0005277083,0.000035680197,0.0001640362],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00038390164,0.00033678848,0.000551184,0.0000904197,0.002079042,0.0006575915,0.0008258044,0.00006913615,0.000056801142],"category_scores_gemma":[0.000030645373,0.00019750888,0.0000640146,0.00009161856,0.0032600353,0.00053153496,0.0002458301,0.00010931337,0.000007384842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012940075,0.0003120839,0.00017463526,0.00004728087,0.000022466089,8.847839e-7,0.0007761784,0.000002738344,0.99098694,0.00063360477,0.00003526066,0.006878516],"study_design_scores_gemma":[0.0003247828,0.00012968588,0.00021857508,0.00027175446,0.000069125075,0.0000111549725,0.00067327346,0.00087348046,0.9969612,0.00006810497,0.0000536315,0.0003452628],"about_ca_topic_score_codex":0.0010792706,"about_ca_topic_score_gemma":0.00002506297,"teacher_disagreement_score":0.0065332535,"about_ca_system_score_codex":0.000020718615,"about_ca_system_score_gemma":0.000079850935,"threshold_uncertainty_score":0.99945253},"labels":[],"label_agreement":null},{"id":"W2594201120","doi":"10.3390/app7030252","title":"Synthesis of Injectable Alginate Hydrogels with Muscle-Derived Stem Cells for Potential Myocardial Infarction Repair","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Self-healing hydrogels; Gelatin; Viability assay; Biomedical engineering; Tissue engineering; Stem cell; Myocyte; Cell; Biophysics; Chemistry; Materials science; Cell biology; Medicine; Biochemistry; Biology; Polymer chemistry","score_opus":0.01640569974619522,"score_gpt":0.24821711740291302,"score_spread":0.2318114176567178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594201120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856074,0.00024817782,0.010934083,0.0004546524,0.00037677764,0.00054545526,0.00000725402,0.00009008496,0.0017361118],"genre_scores_gemma":[0.99314475,0.000017331668,0.0058036293,0.00001427268,0.00023367086,0.00007753106,0.0000011614235,0.000012401916,0.00069524883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999024,0.000010617998,0.00016055089,0.00028101142,0.00030262468,0.00022120796],"domain_scores_gemma":[0.99936235,0.00006159429,0.00014391463,0.00028732143,0.0000652702,0.00007955261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044526815,0.0001224077,0.00030669023,0.00009194037,0.00041742364,0.000026356423,0.00014373598,0.000051341132,0.000011173504],"category_scores_gemma":[0.000025680707,0.00007992605,0.00006881521,0.00009815637,0.00048652946,0.000077256205,0.000028355322,0.00006918295,0.0000035819974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114350885,0.00004384653,0.0004551067,0.00010959932,0.00009610766,0.000004609706,0.00023668005,0.0018644723,0.9858548,0.0009429429,0.00034508124,0.009932403],"study_design_scores_gemma":[0.0011443312,0.0006470574,0.0063707293,0.00012836917,0.000209191,0.000015534682,0.0005172635,0.0036045755,0.9838916,0.00002779354,0.0032837158,0.00015980679],"about_ca_topic_score_codex":0.000048984763,"about_ca_topic_score_gemma":0.0000020427199,"teacher_disagreement_score":0.009772597,"about_ca_system_score_codex":0.00001791506,"about_ca_system_score_gemma":0.00008376577,"threshold_uncertainty_score":0.325929},"labels":[],"label_agreement":null},{"id":"W2594236441","doi":"10.3390/app7020180","title":"Construction Industrialization in China: Current Profile and the Prediction","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Industrialisation; China; Delphi method; Regional science; Construction industry; Economic growth; Business; Geography; Engineering; Political science; Economics; Construction engineering; Computer science","score_opus":0.01822287549148782,"score_gpt":0.2577209770947853,"score_spread":0.2394981016032975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594236441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669648,0.00020384426,0.008965346,0.00026918313,0.0010237785,0.0005931796,0.0000019698257,0.00009921019,0.021878727],"genre_scores_gemma":[0.9995724,0.000067287096,0.00023266194,0.000002408633,0.000065676795,0.000048020887,8.4009974e-7,0.0000022252602,0.000008453675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996273,0.000010193273,0.00007989957,0.000092061244,0.00009832032,0.00009225145],"domain_scores_gemma":[0.99984986,0.00001677228,0.000032482665,0.000082391954,0.0000054578745,0.000013010391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039504835,0.000044440058,0.00005435606,0.00004260762,0.00034803065,0.00017899503,0.00010828331,0.000022445665,0.000004988054],"category_scores_gemma":[0.000024256793,0.00002979569,0.000005588713,0.00008381665,0.00032737714,0.00013535819,0.000021756468,0.00007036367,9.032813e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036704514,0.000023112685,0.040929623,0.00006656309,0.000011376435,7.116678e-7,0.0012981915,0.0213203,0.0018976446,0.49320218,0.0011862359,0.44002736],"study_design_scores_gemma":[0.0062570497,0.00006298131,0.22564897,0.00014961553,0.00003598186,0.000011065271,0.003968254,0.67259127,0.009355619,0.07513036,0.006313394,0.0004754695],"about_ca_topic_score_codex":0.000016347629,"about_ca_topic_score_gemma":0.0000027929893,"teacher_disagreement_score":0.6512709,"about_ca_system_score_codex":0.000023113875,"about_ca_system_score_gemma":0.000022468328,"threshold_uncertainty_score":0.26768056},"labels":[],"label_agreement":null},{"id":"W2598651598","doi":"10.3390/app7040318","title":"Investigation of Interactive Strategies Used in Undertaking Collaborative Tasks","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Human–computer interaction; Computer science; Autonomy; Affect (linguistics); Multimedia; Psychology; Engineering; Communication","score_opus":0.07871686966220587,"score_gpt":0.34618193646662404,"score_spread":0.2674650668044182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598651598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012372,0.00001236714,0.05442636,0.0011402345,0.0000682173,0.00024793355,0.0000025478364,0.00002583498,0.04283932],"genre_scores_gemma":[0.9922774,0.0000037670882,0.0076154894,0.000061796585,0.000009305962,0.00002348117,6.184901e-7,0.0000016714807,0.0000065022823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991218,0.000027980606,0.00018220117,0.00026835385,0.00024386692,0.00015578617],"domain_scores_gemma":[0.9990488,0.00014373049,0.0003097426,0.0003937512,0.00005905525,0.000044864188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051779934,0.000075756594,0.00012572929,0.00011743585,0.00037250953,0.00061354466,0.0011422833,0.000032653563,0.0000024950289],"category_scores_gemma":[0.00007436309,0.00006399527,0.00001351822,0.0004895941,0.0005874346,0.0015316717,0.00016435776,0.00007226496,0.0000059529198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003060611,0.000013778182,0.0026031,0.0000045441016,0.0000035456987,3.9672318e-7,0.0069900653,0.00029384112,0.034859374,0.9505964,0.000026170912,0.0046057086],"study_design_scores_gemma":[0.0006582982,0.00022344652,0.2998022,0.00009845844,0.0000047325784,0.0000017025366,0.01645706,0.02399492,0.17423801,0.48400176,0.00014962528,0.0003697737],"about_ca_topic_score_codex":0.00029952748,"about_ca_topic_score_gemma":0.0004694762,"teacher_disagreement_score":0.46659467,"about_ca_system_score_codex":0.000029691775,"about_ca_system_score_gemma":0.00036034652,"threshold_uncertainty_score":0.59164256},"labels":[],"label_agreement":null},{"id":"W2610539179","doi":"10.3390/app7050467","title":"Graph-Based Semi-Supervised Learning for Indoor Localization Using Crowdsourced Data","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"RSS; Crowdsourcing; Exploit; Computer science; Signal strength; Graph; Data mining; Software deployment; Artificial intelligence; Pattern recognition (psychology); Machine learning; Theoretical computer science; Computer network; Wireless sensor network","score_opus":0.06942950754993024,"score_gpt":0.2943753198973772,"score_spread":0.22494581234744696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610539179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105293594,0.00005924901,0.89103425,0.000051340787,0.00021946627,0.00031812672,0.000012109424,0.0006438122,0.0023680632],"genre_scores_gemma":[0.99144846,0.000007757814,0.008329575,0.000059205642,0.00005427484,0.00002350171,0.000044645854,0.000021237218,0.000011359687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989654,0.0000082366205,0.00018604752,0.00032699844,0.00020980745,0.0003035571],"domain_scores_gemma":[0.9991734,0.00006515844,0.00008307902,0.0006021144,0.000038946106,0.00003727276],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00043985594,0.00014156126,0.00015192802,0.00015092007,0.0015339328,0.0003641754,0.0012376497,0.00010872037,0.000015045135],"category_scores_gemma":[0.00018858061,0.00013131626,0.00002931031,0.0002437977,0.0004140415,0.00031919297,0.0001339149,0.00010057719,0.000005790227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009295653,0.000010313657,0.0063374024,0.000075348806,0.000013781289,6.033261e-7,0.00013783308,0.96387535,0.017437993,0.0034054013,0.0003885183,0.008308148],"study_design_scores_gemma":[0.00037742473,0.000016517315,0.0001990326,0.000019273528,0.000013541707,4.78417e-7,0.00029628444,0.94917625,0.047101073,0.0008181936,0.0017898619,0.000192075],"about_ca_topic_score_codex":0.000017976754,"about_ca_topic_score_gemma":0.000014354043,"teacher_disagreement_score":0.88615483,"about_ca_system_score_codex":0.000022276407,"about_ca_system_score_gemma":0.00004189081,"threshold_uncertainty_score":0.99976593},"labels":[],"label_agreement":null},{"id":"W2612567453","doi":"10.3390/app7050503","title":"On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plasma arc welding; Gas metal arc welding; Arc (geometry); Welding; Materials science; Electrode; Arc blow; Arc length; Electric arc; Carbon arc welding; Voltage; Plasma; Submerged arc welding; Current (fluid); Arc welding; Metallurgy; Electrical engineering; Chemistry; Mechanical engineering; Engineering; Physics","score_opus":0.047467481618959466,"score_gpt":0.284445081729631,"score_spread":0.23697760011067154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612567453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986599,0.00006348778,0.0010940543,0.00029825952,0.000026244135,0.00013426332,0.000001963811,0.00004227208,0.011740404],"genre_scores_gemma":[0.999685,0.000053486423,0.00019772057,0.0000072422267,0.00002832668,0.000010180815,4.2687068e-7,0.000004272944,0.000013333388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956554,0.000013142543,0.000093337345,0.00009768797,0.00014151477,0.000088804154],"domain_scores_gemma":[0.99887484,0.00091327063,0.000056616056,0.0001327099,0.000006007238,0.00001653488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000608507,0.000061603394,0.00008579465,0.00003242784,0.00070067256,0.00012580217,0.00021987443,0.000029738105,0.0000033135173],"category_scores_gemma":[0.00019076448,0.000030848012,0.000012170448,0.000061964805,0.00065514154,0.00006862684,0.000058906175,0.00007221763,6.337329e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008214084,0.00000407018,0.03521628,0.000034023742,0.000016940478,2.117466e-7,0.0006178317,0.0009254536,0.0010996198,0.9592062,0.0002360217,0.0026351134],"study_design_scores_gemma":[0.0010554136,0.00015164893,0.30940816,0.00024568712,0.000112313246,0.0000048390234,0.0011196992,0.014654765,0.25839362,0.41334507,0.0010290509,0.00047972455],"about_ca_topic_score_codex":0.000025536598,"about_ca_topic_score_gemma":0.000008665629,"teacher_disagreement_score":0.5458611,"about_ca_system_score_codex":0.0000032483597,"about_ca_system_score_gemma":0.000004076043,"threshold_uncertainty_score":0.53890777},"labels":[],"label_agreement":null},{"id":"W2613980906","doi":"10.3390/app7050511","title":"Facile Synthesis of α-MnO2 with a 3D Staghorn Coral-like Micro-Structure Assembled by Nano-Rods and Its Application in Electrochemical Supercapacitors","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Innovation Council; National Research Council Canada","funders":"University of British Columbia","keywords":"Materials science; Supercapacitor; Electrochemistry; Nanotechnology; Nanorod; Rod; Chemical engineering; Microstructure; Electrode; Composite material; Chemistry","score_opus":0.010363816360655725,"score_gpt":0.23272966812224494,"score_spread":0.2223658517615892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613980906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863946,0.0000742889,0.00016977456,0.00008810723,0.00010555796,0.0003471273,0.000057682744,0.000029314086,0.00048869365],"genre_scores_gemma":[0.9980317,0.000023833281,0.0017340427,0.000029256002,0.000046018187,0.00010732383,0.0000063124216,0.0000109144075,0.000010593623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983819,0.000039579103,0.00029001693,0.00057787803,0.00036868636,0.00034194556],"domain_scores_gemma":[0.9992019,0.000092006754,0.00021691906,0.0003547242,0.000059997437,0.00007446057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973267,0.00019010501,0.00032012138,0.00007895545,0.00041567205,0.00022585693,0.00060321746,0.000121328616,0.000054404612],"category_scores_gemma":[0.00006125251,0.00014346326,0.000017127924,0.00016943838,0.0005289177,0.00038585154,0.00007504622,0.0000738165,0.000011274942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049939626,0.00003063917,0.0029104857,0.000028445436,0.0000027435603,1.8214932e-7,0.00020596468,0.0000021530823,0.99573416,0.00056219863,0.000036442936,0.00043665306],"study_design_scores_gemma":[0.0002088284,0.000057475063,0.0021687346,0.000020970192,0.000011986468,0.0000051402008,0.00023084505,0.00011850059,0.9966127,0.00021576638,0.00015395372,0.00019510045],"about_ca_topic_score_codex":0.00019780803,"about_ca_topic_score_gemma":0.00006140492,"teacher_disagreement_score":0.001564268,"about_ca_system_score_codex":0.000038485716,"about_ca_system_score_gemma":0.00006884922,"threshold_uncertainty_score":0.5850262},"labels":[],"label_agreement":null},{"id":"W2624000181","doi":"10.3390/app7060595","title":"Scattering Characteristics of X-, C- and L-Band PolSAR Data Examined for the Tundra Environment of the Tuktoyaktuk Peninsula, Canada","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"National Wildlife Research Center; Japan Aerospace Exploration Agency; Deutsche Forschungsgemeinschaft","keywords":"Tundra; Remote sensing; Polarimetry; Land cover; Vegetation (pathology); Synthetic aperture radar; Scattering; Geography; C band; Environmental science; Geology; Land use; Physics; Arctic; Ecology; Optics","score_opus":0.08642555197254338,"score_gpt":0.24795504054434372,"score_spread":0.16152948857180033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624000181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949324,0.00020416874,0.000011348631,0.0009499219,0.00018572857,0.0002200869,0.0024630807,0.0000012551758,0.0010320114],"genre_scores_gemma":[0.99955195,0.000106740124,0.00005830652,0.000111945796,0.00005677107,0.0000016367076,0.00007091104,0.000001336992,0.000040413935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992562,0.0000095431105,0.00015283833,0.00019013474,0.00023177224,0.00015949555],"domain_scores_gemma":[0.9988939,0.0003008629,0.00021249901,0.00055387436,0.0000060345105,0.0000328024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004687337,0.00007280441,0.00012279977,0.000010781296,0.0007877083,0.000080114456,0.001135663,0.00001694857,0.00015808259],"category_scores_gemma":[0.00004014975,0.000038277394,0.0000128582715,0.000031900476,0.0008664191,0.00009627528,0.00011056618,0.00003584905,9.46438e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026582995,0.000007151664,0.9712349,0.000050591196,0.000015268628,5.1406545e-7,0.00043635076,0.000052597214,0.010946551,0.00009823154,0.00051945593,0.016611807],"study_design_scores_gemma":[0.00010046595,0.000021493512,0.9911781,0.00001076757,0.000016906486,0.000001868205,0.0004142286,0.003227745,0.0016358879,0.00006924731,0.0032591224,0.00006418707],"about_ca_topic_score_codex":0.22723512,"about_ca_topic_score_gemma":0.39554057,"teacher_disagreement_score":0.16830546,"about_ca_system_score_codex":0.0000019970587,"about_ca_system_score_gemma":0.000078668956,"threshold_uncertainty_score":0.77791077},"labels":[],"label_agreement":null},{"id":"W2627007441","doi":"10.3390/app7060606","title":"Effects of Nozzle Configuration on Rock Erosion Under a Supercritical Carbon Dioxide Jet at Various Pressures and Temperatures","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Nozzle; Supercritical fluid; Jet (fluid); Volume (thermodynamics); Inlet; Erosion; Supercritical carbon dioxide; Materials science; Pressure drop; Mechanics; Water jet; Drop (telecommunication); Carbon dioxide; Chemistry; Composite material; Thermodynamics; Mechanical engineering; Geology; Engineering; Physics","score_opus":0.011976956249983852,"score_gpt":0.2604883888444316,"score_spread":0.24851143259444775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2627007441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631053,0.000014925107,0.00005696746,0.00057273,0.00012994779,0.00018266452,0.0000012026,0.000015555417,0.035920676],"genre_scores_gemma":[0.9992365,0.000010075611,0.00007050628,0.00022869329,0.000017375507,0.000018628385,0.0000010835364,0.0000022268102,0.0004149031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922836,0.000025973892,0.00010469737,0.0002601784,0.0002450135,0.0001357775],"domain_scores_gemma":[0.9996293,0.00013131376,0.00003291597,0.0001496081,0.0000065457043,0.00005032121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013919569,0.00008557264,0.00009559806,0.000020492727,0.0006477246,0.00008130547,0.00017311015,0.000048063834,0.00015526438],"category_scores_gemma":[0.00008429397,0.00006164801,0.000016900181,0.000037758095,0.0005070711,0.00012515107,0.00010565153,0.00007346467,0.000024628924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031705436,0.000054359687,0.006492944,0.000007638277,0.0000027100828,0.000002008259,0.00022538527,0.0003172061,0.9781554,0.014328736,0.00028110173,0.000100842306],"study_design_scores_gemma":[0.00025195233,0.00020515286,0.3843791,0.000018862655,0.000014025145,0.0000074534046,0.000105560524,0.00081138604,0.611371,0.0022685572,0.00043679055,0.00013017749],"about_ca_topic_score_codex":0.0006001598,"about_ca_topic_score_gemma":0.0006935123,"teacher_disagreement_score":0.37788615,"about_ca_system_score_codex":0.000025249115,"about_ca_system_score_gemma":0.000009024288,"threshold_uncertainty_score":0.49818397},"labels":[],"label_agreement":null},{"id":"W2738970802","doi":"10.3390/app7080751","title":"Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Research Foundation of Korea","keywords":"Adaptive neuro fuzzy inference system; Fibre-reinforced plastic; Soft computing; Mean squared error; Inference system; Structural engineering; Materials science; Ultimate tensile strength; Fuzzy inference system; Artificial neural network; Composite material; Computer science; Mathematics; Fuzzy logic; Engineering; Fuzzy control system; Statistics; Machine learning; Artificial intelligence","score_opus":0.055551904096248696,"score_gpt":0.3190709606007885,"score_spread":0.2635190565045398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738970802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96807474,0.000037371075,0.029343743,0.000004558346,0.0001649654,0.00013072678,0.00002652055,0.00005981544,0.002157589],"genre_scores_gemma":[0.86430883,0.0000042031133,0.13565572,0.0000025750455,0.000017855884,9.4324173e-7,0.0000016931375,0.0000068666127,0.0000013430413],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991487,0.000012628181,0.00027645158,0.00017646993,0.00018930133,0.00019639848],"domain_scores_gemma":[0.9993983,0.00011683039,0.000205979,0.00020101981,0.00002909045,0.000048799822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048771792,0.00012184498,0.0002350214,0.00007591148,0.0002332662,0.000060573788,0.00029142507,0.000063110165,0.000011139604],"category_scores_gemma":[0.00005040688,0.000111198184,0.000030920877,0.000079703,0.0006993158,0.00016011458,0.00006188165,0.00008706865,2.0394684e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038107935,7.914864e-8,0.00071382296,0.00004430047,0.000016868644,2.7631444e-7,0.00041846192,0.010956727,0.9368973,0.001446146,9.476021e-7,0.049501304],"study_design_scores_gemma":[0.00032250682,0.000030696163,0.00987838,0.000037151643,0.000031429492,0.0000040229756,0.00057068036,0.55526274,0.4335657,0.0001746325,0.000005215286,0.00011682658],"about_ca_topic_score_codex":0.000058940557,"about_ca_topic_score_gemma":5.0271615e-7,"teacher_disagreement_score":0.54430604,"about_ca_system_score_codex":0.000012366706,"about_ca_system_score_gemma":0.000025716283,"threshold_uncertainty_score":0.45345303},"labels":[],"label_agreement":null},{"id":"W2741030676","doi":"10.3390/app7080775","title":"Planetary Gearbox Fault diagnosis via Joint Amplitude and Frequency Demodulation Analysis Based on Variational Mode Decomposition","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Demodulation; Frequency modulation; Amplitude modulation; Vibration; Instantaneous phase; Modulation (music); Fault (geology); Amplitude; Hilbert–Huang transform; SIGNAL (programming language); Acoustics; Control theory (sociology); Fourier transform; Computer science; Electronic engineering; Engineering; Physics; Mathematics; Artificial intelligence; Optics; Telecommunications; Bandwidth (computing); Computer vision; Mathematical analysis; Filter (signal processing)","score_opus":0.01613232732412825,"score_gpt":0.30381794585153415,"score_spread":0.28768561852740593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741030676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77108055,0.00004024537,0.2182515,0.00039823522,0.00009349284,0.0003701591,0.000057572463,0.00039182024,0.009316453],"genre_scores_gemma":[0.9633019,0.000018932646,0.036230937,0.00013830353,0.00004907442,0.00015792626,0.00009280635,0.000009471092,6.2913085e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988658,0.000019039453,0.00021570147,0.00034003935,0.0003604584,0.0001989831],"domain_scores_gemma":[0.99933946,0.00015227022,0.00009602523,0.0003213317,0.000019402327,0.00007148541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035111592,0.00016194161,0.00019812073,0.00030625603,0.0005390273,0.00025262448,0.0002790594,0.0000769493,0.000049474274],"category_scores_gemma":[0.000032864173,0.0001515846,0.000045160843,0.00023143835,0.00012718691,0.00019113388,0.00003066784,0.00010679747,0.0000075640783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062233844,0.00008241148,0.22889422,0.000027507633,0.00011063331,0.00000245611,0.00009665066,0.74523115,0.008666881,0.008255931,0.00015162291,0.0084743025],"study_design_scores_gemma":[0.00007864882,0.000021135493,0.40391237,0.00000823606,0.000051636733,3.394724e-7,0.000001731436,0.5878993,0.0027901372,0.0050981343,0.000010066988,0.00012821556],"about_ca_topic_score_codex":0.0006074094,"about_ca_topic_score_gemma":0.00044777757,"teacher_disagreement_score":0.1922214,"about_ca_system_score_codex":0.000048421283,"about_ca_system_score_gemma":0.00001269844,"threshold_uncertainty_score":0.61814404},"labels":[],"label_agreement":null},{"id":"W2742051770","doi":"10.3390/app7080771","title":"A Biomechanical Study for Developing Wearable-Sensor System to Prevent Hip Fractures among Seniors","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Shanxi Scholarship Council of China","keywords":"Wearable computer; Physical medicine and rehabilitation; Medicine; Balance (ability); Physical therapy; Computer science; Embedded system","score_opus":0.05534445412563707,"score_gpt":0.3275364579127513,"score_spread":0.2721920037871143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742051770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6323953,0.000011158589,0.36228156,0.0007178401,0.0007866281,0.0022271278,0.0000047136696,0.00022525367,0.0013504251],"genre_scores_gemma":[0.9808625,3.7836676e-7,0.018150296,0.00013882497,0.00012980518,0.0005924836,2.7780092e-7,0.000010298845,0.00011516338],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99736875,0.00008768312,0.00038342312,0.00097614276,0.00067608804,0.0005078846],"domain_scores_gemma":[0.99809843,0.00036701208,0.0003510305,0.0008909533,0.00012071734,0.00017186604],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00216454,0.00022134869,0.00035929278,0.00022548404,0.0018261783,0.0015919474,0.0025517195,0.00007600005,0.0000030572],"category_scores_gemma":[0.00017250888,0.00018044794,0.000076378914,0.0003859933,0.00014297833,0.00065661303,0.0006349154,0.00010034397,0.00007730373],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022961799,0.0024678148,0.020122001,0.00078024156,0.0006484203,0.00013616026,0.033993743,0.0006735206,0.082730524,0.14467911,0.0041711894,0.70936763],"study_design_scores_gemma":[0.010234088,0.0054082805,0.19116938,0.003334168,0.00028545794,0.00029323917,0.07961383,0.15785882,0.5104519,0.014211156,0.017506763,0.009632935],"about_ca_topic_score_codex":0.0002493859,"about_ca_topic_score_gemma":0.00023988748,"teacher_disagreement_score":0.6997347,"about_ca_system_score_codex":0.00010879716,"about_ca_system_score_gemma":0.00015933727,"threshold_uncertainty_score":0.99947333},"labels":[],"label_agreement":null},{"id":"W2742179840","doi":"10.3390/app7080795","title":"An Innovative Dual-Column System for Heavy Metallic Ion Sorption by Natural Zeolite","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zeolite; Sorption; Metal ions in aqueous solution; Chemistry; Copper; Metal; Heavy metals; Industrial wastewater treatment; Adsorption; Environmental engineering; Wastewater; Environmental chemistry; Environmental science; Organic chemistry","score_opus":0.014681606391370138,"score_gpt":0.27555631757377863,"score_spread":0.2608747111824085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742179840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97574466,0.000026813079,0.0029957462,0.00038787717,0.00024638252,0.000727646,0.00001418234,0.00014544687,0.019711269],"genre_scores_gemma":[0.996538,0.000003796986,0.002660949,0.00015921763,0.00007904303,0.00014421983,0.000021210035,0.0000062642694,0.00038732687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988043,0.000021007663,0.0001807306,0.00039819523,0.00034449878,0.00025130156],"domain_scores_gemma":[0.99936503,0.00003027063,0.00023772896,0.00028921827,0.000020407886,0.000057367877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089965895,0.00011314535,0.00012850168,0.000041225736,0.00114443,0.00024451944,0.0004981826,0.000057434743,0.00004853887],"category_scores_gemma":[0.00003160074,0.000087260785,0.000028407885,0.00021144551,0.0006152115,0.00064159156,0.000096968004,0.00006680083,0.000052006035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013815094,0.000039770046,0.00035953187,0.00001297055,0.0000043850423,5.0563443e-7,0.0005088477,0.000011369498,0.9743712,0.014379678,0.0025030605,0.007794847],"study_design_scores_gemma":[0.00036330326,0.00021923077,0.002887377,0.000014790407,0.000011465257,0.000004098073,0.0009010078,0.003678365,0.9760613,0.0041015237,0.011399964,0.00035760694],"about_ca_topic_score_codex":0.00017715446,"about_ca_topic_score_gemma":0.000053574306,"teacher_disagreement_score":0.020793336,"about_ca_system_score_codex":0.00007658893,"about_ca_system_score_gemma":0.000013226535,"threshold_uncertainty_score":0.8802146},"labels":[],"label_agreement":null},{"id":"W2745695180","doi":"10.3390/app7080840","title":"Effect of Ultrafast Imaging on Shear Wave Visualization and Characterization: An Experimental and Computational Study in a Pediatric Ventricular Model","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Vlaamse regering; Universiteit Gent; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Shear (geology); Plane wave; Wave propagation; Acoustics; Shear waves; Mechanics; Physics; Materials science; Optics","score_opus":0.014243008745823179,"score_gpt":0.3086233320264499,"score_spread":0.29438032328062674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745695180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848497,0.000024619978,0.00096327346,0.000024765412,0.000018665161,0.00029090393,0.0000015114422,0.000010390198,0.0001809059],"genre_scores_gemma":[0.9996595,0.000004644997,0.00025259104,0.00002908791,0.000026317324,0.000012717681,0.000009880312,0.0000039665647,0.0000013039144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993525,0.00002379322,0.00010786313,0.00021618615,0.00021064661,0.00008898745],"domain_scores_gemma":[0.9997504,0.00004096406,0.000073043106,0.00007779914,0.0000139256235,0.00004389265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035303461,0.000072477305,0.00012423967,0.00016522694,0.00023913415,0.000072500436,0.000044741766,0.000011875722,0.0000014673094],"category_scores_gemma":[0.00001552473,0.00005740207,0.000010007174,0.0001258333,0.0001888313,0.00015563946,0.000017191405,0.000037688045,2.8094874e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009085413,0.00033940794,0.9621177,0.000032334385,0.0000043044793,0.000003060806,0.002355394,0.000561447,0.032972883,0.00035577486,6.610825e-7,0.0011661974],"study_design_scores_gemma":[0.0018686337,0.0010623313,0.84164935,0.000023609198,0.0000357346,0.000018760928,0.00075565634,0.14903551,0.0053946814,0.000053017528,9.873155e-7,0.00010171216],"about_ca_topic_score_codex":0.000007777072,"about_ca_topic_score_gemma":3.4657225e-7,"teacher_disagreement_score":0.14847405,"about_ca_system_score_codex":0.000006440879,"about_ca_system_score_gemma":0.000016743552,"threshold_uncertainty_score":0.23407885},"labels":[],"label_agreement":null},{"id":"W2746940293","doi":"10.3390/app7080854","title":"Irradiation Induced Defect Clustering in Zircaloy-2","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Argonne National Laboratory; Division of Materials Research; Office of Science; Natural Sciences and Engineering Research Council of Canada; Mitacs; University Network of Excellence in Nuclear Engineering; U.S. Department of Energy","keywords":"Irradiation; Materials science; Nucleation; Dislocation; Crystallographic defect; Yield (engineering); Vacancy defect; Ion; Microstructure; Zirconium alloy; Crystallography; Analytical Chemistry (journal); Metallurgy; Composite material; Thermodynamics; Zirconium; Chemistry; Nuclear physics","score_opus":0.06310287733346553,"score_gpt":0.2854853674594559,"score_spread":0.22238249012599037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746940293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97125095,0.00001948653,0.00001694534,0.00022148705,0.0005192915,0.000119757955,0.0000012490935,0.000039849096,0.027810954],"genre_scores_gemma":[0.9989356,0.000004937959,0.0008045919,0.00011267038,0.00008705405,0.000017208524,2.8104557e-7,0.000006287928,0.000031400064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906856,0.000028146964,0.00016151866,0.00028218457,0.00020277109,0.00025684212],"domain_scores_gemma":[0.9995458,0.000024967065,0.000117499905,0.00026476436,0.00000986781,0.0000371017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136903,0.00008594099,0.00012984572,0.000052420608,0.00072980794,0.00073141773,0.0005960006,0.000044470948,0.00025535046],"category_scores_gemma":[0.000060121867,0.000065562395,0.000020263216,0.000056617682,0.0002387356,0.00037332045,0.00016982021,0.000045042616,0.00037687708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012766681,0.000007932942,0.00070165866,0.000007472772,4.7825165e-7,0.0000010708767,0.0003098221,0.000060622282,0.9941388,0.0022623155,0.00002484394,0.0024722447],"study_design_scores_gemma":[0.00062966545,0.00014086143,0.22846714,0.00004790084,0.0000066408343,0.000005194928,0.00043849502,0.0009899768,0.76114964,0.006267754,0.0013936539,0.0004630948],"about_ca_topic_score_codex":0.0004118558,"about_ca_topic_score_gemma":0.0002736087,"teacher_disagreement_score":0.23298915,"about_ca_system_score_codex":0.000020859185,"about_ca_system_score_gemma":0.000035429228,"threshold_uncertainty_score":0.7053078},"labels":[],"label_agreement":null},{"id":"W2754307741","doi":"10.3390/app7090946","title":"Synthetic Rock Analogue for Permeability Studies of Rock Salt with Mudstone","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Permeability (electromagnetism); Geology; Porosity; Slippage; Mineralogy; Geotechnical engineering; Materials science; Composite material; Chemistry","score_opus":0.055817410470838096,"score_gpt":0.2842874611224261,"score_spread":0.22847005065158799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754307741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97996974,0.0004563887,0.01531463,0.00010349118,0.00012165443,0.00031653888,0.0000060508733,0.00006149226,0.0036500143],"genre_scores_gemma":[0.99943143,0.000034771263,0.00043325033,0.0000072816088,0.000021227439,0.000032892716,6.027927e-7,0.0000052900964,0.000033233697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947804,0.0000029221665,0.00010967134,0.00015246512,0.00012229593,0.00013462559],"domain_scores_gemma":[0.9996321,0.000047338883,0.000044515265,0.00020888526,0.000045756624,0.000021355618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020406183,0.00007158998,0.0001390064,0.000024235378,0.00038403604,0.000035342633,0.00022535272,0.000018907975,0.00000578053],"category_scores_gemma":[0.000057356192,0.000047002206,0.000019321518,0.000057015208,0.00017309326,0.00008936545,0.00003875794,0.000025473273,0.000002645772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108481676,0.000068468566,0.005607306,0.0009618342,0.00013075766,5.468443e-7,0.0035760228,0.9092063,0.043914814,0.013332212,0.00072717783,0.022366116],"study_design_scores_gemma":[0.0009830687,0.00066989835,0.02159544,0.00020279999,0.00011335943,0.000004021433,0.0071505453,0.8312255,0.12677091,0.007941884,0.0026223813,0.0007201468],"about_ca_topic_score_codex":0.000020749963,"about_ca_topic_score_gemma":0.00011497715,"teacher_disagreement_score":0.08285611,"about_ca_system_score_codex":0.000018740602,"about_ca_system_score_gemma":0.000018526556,"threshold_uncertainty_score":0.29537335},"labels":[],"label_agreement":null},{"id":"W2756912109","doi":"10.3390/app7100975","title":"Assessing the Performance of Thermal Inertia and Hydrus Models to Estimate Surface Soil Water Content","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Università di Pisa","keywords":"Environmental science; Mean squared error; Soil water; Water content; Soil science; Soil thermal properties; Hydrology (agriculture); Field capacity; Mathematics; Geology; Geotechnical engineering; Statistics","score_opus":0.04971223878992745,"score_gpt":0.26725091814466784,"score_spread":0.2175386793547404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756912109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887444,0.000054835305,0.00014202992,0.0001975452,0.0001091328,0.000070590984,4.7517165e-7,0.000034307126,0.010646708],"genre_scores_gemma":[0.99937886,0.0000074542654,0.00052612764,0.000028740782,0.000016088043,0.0000051696247,2.3079029e-7,0.000005286151,0.00003206195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994683,0.000003834576,0.000095309435,0.000112637215,0.0001306543,0.00018925474],"domain_scores_gemma":[0.99974513,0.000018786452,0.000021173088,0.00016653091,0.000014723521,0.000033674216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002718012,0.00007790335,0.00009053866,0.00001534149,0.00041504073,0.00023780658,0.00029609902,0.000024152654,0.0000024716776],"category_scores_gemma":[0.0000026171033,0.000038829094,0.000010354484,0.00003734687,0.00022372622,0.00033811943,0.00006587362,0.00006178274,0.000005690863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002668068,0.0000026759124,0.0011414436,0.000011444853,0.0000054625352,2.6649732e-7,0.0008051408,0.6635147,0.32673565,0.00019476072,0.000012017825,0.0075737797],"study_design_scores_gemma":[0.00007452553,0.000011133382,0.010711402,0.000014695052,0.00000435062,9.964415e-7,0.0001627289,0.6779977,0.31084594,0.00008570991,0.000014978496,0.00007580068],"about_ca_topic_score_codex":0.00004912097,"about_ca_topic_score_gemma":0.000009728765,"teacher_disagreement_score":0.015889691,"about_ca_system_score_codex":0.0000046380073,"about_ca_system_score_gemma":0.0000076533515,"threshold_uncertainty_score":0.31921998},"labels":[],"label_agreement":null},{"id":"W2757107476","doi":"10.3390/app7100973","title":"A Review of Three-Dimensional Scanning Near-Field Optical Microscopy (3D-SNOM) and Its Applications in Nanoscale Light Management","year":2017,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Near-field scanning optical microscope; Materials science; Aperture (computer memory); Optical microscope; Optics; Plasmon; Near and far field; Nanophotonics; Nanotechnology; Optoelectronics; Scanning electron microscope; Physics; Acoustics","score_opus":0.03894157708813479,"score_gpt":0.33434722066372147,"score_spread":0.2954056435755867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757107476","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005065731,0.9806783,0.00025321622,0.000058747213,0.00012099639,0.0014978208,0.000008573974,0.00004747005,0.01728418],"genre_scores_gemma":[0.0001780929,0.98529065,0.013890191,0.00010454774,0.00003545271,0.00042889523,0.0000068615727,0.000028764498,0.000036552774],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801314,0.000016171654,0.0006960906,0.0005685715,0.0002829417,0.00042310657],"domain_scores_gemma":[0.99893034,0.00029648244,0.00016718857,0.00046276694,0.000024907791,0.00011832628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005500472,0.00036455007,0.0011764759,0.00014564903,0.0002294574,0.000116373536,0.00079098897,0.00021546888,0.000046569934],"category_scores_gemma":[0.000039568968,0.0002987183,0.00012658426,0.00044910586,0.000278728,0.00009288659,0.00030634078,0.00038380976,0.000054968463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003356082,0.00007767072,0.000011431957,0.15451531,0.00010073618,0.000009354503,0.000032698128,0.000035229954,0.00045315488,0.013400078,0.001362239,0.82999873],"study_design_scores_gemma":[0.00013298375,0.000039068156,0.0000075564826,0.065295,0.00025643423,0.000011004058,0.000007032023,0.00026570697,0.00074397575,0.00019027466,0.9325128,0.00053815497],"about_ca_topic_score_codex":0.000005348582,"about_ca_topic_score_gemma":0.000011338706,"teacher_disagreement_score":0.93115056,"about_ca_system_score_codex":0.00004350295,"about_ca_system_score_gemma":0.00009751136,"threshold_uncertainty_score":0.9999465},"labels":[],"label_agreement":null},{"id":"W2761461174","doi":"10.3390/app7101048","title":"3D Suspended Polymeric Microfluidics (SPMF3) with Flow Orthogonal to Bending (FOB) for Fluid Analysis through Kinematic Viscosity","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Viscosity; Rheology; Materials science; Fluid dynamics; Newtonian fluid; Microfluidics; Non-Newtonian fluid; Mechanics; Nanotechnology; Composite material; Physics","score_opus":0.017405682175712246,"score_gpt":0.25859993400189535,"score_spread":0.2411942518261831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761461174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61444247,0.0039487467,0.36760736,0.00040560772,0.00012306293,0.0010291915,0.00006280883,0.00022739977,0.012153398],"genre_scores_gemma":[0.9806737,0.0010729261,0.017626772,0.00015666867,0.00009489996,0.00024898595,0.000029824412,0.000026899148,0.000069383816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827176,0.000009526465,0.00028929202,0.0005147203,0.00034819014,0.0005665309],"domain_scores_gemma":[0.99900275,0.00007454112,0.0000969755,0.0006482902,0.00004238961,0.00013504169],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003234439,0.0002606741,0.00039238133,0.00018281695,0.0015038698,0.00032002048,0.0008865862,0.00006670139,0.00013003542],"category_scores_gemma":[0.000015473124,0.00021607701,0.000111675436,0.0008896033,0.00028988443,0.0001923479,0.00008353026,0.00009418668,0.000035470453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036721973,0.0000465058,0.0009876884,0.000060486662,0.00041868715,0.0000017916715,0.00054683303,0.0027802356,0.9603317,0.020174773,0.012122716,0.002491883],"study_design_scores_gemma":[0.001072761,0.0003210639,0.0060233315,0.000053109045,0.0013133043,0.000018899264,0.00086985034,0.027772496,0.9325409,0.002926092,0.025498401,0.0015898079],"about_ca_topic_score_codex":0.00003908673,"about_ca_topic_score_gemma":0.00004887268,"teacher_disagreement_score":0.3662312,"about_ca_system_score_codex":0.00006087946,"about_ca_system_score_gemma":0.00007521868,"threshold_uncertainty_score":0.99979603},"labels":[],"label_agreement":null},{"id":"W2770435055","doi":"10.3390/app7121209","title":"Methods to Evaluate the Aging Grades of Reclaimed Asphalt Binder","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Yangzhou University; China Scholarship Council; University of Waterloo","keywords":"Asphalt; Asphalt pavement; Service life; Environmental science; Forensic engineering; Geotechnical engineering; Engineering; Materials science; Composite material; Mechanical engineering","score_opus":0.09289591371037768,"score_gpt":0.40233480935862254,"score_spread":0.30943889564824484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770435055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9002383,0.00018689179,0.04060458,0.0009841446,0.00073285593,0.00058801856,0.0000012148827,0.00011051031,0.0565535],"genre_scores_gemma":[0.96776754,0.000013771457,0.03194374,0.00008705659,0.00006205301,0.000062636296,4.5926075e-7,0.000008377452,0.000054397973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889916,0.000036532674,0.00020426449,0.00017585652,0.00044429424,0.00023986424],"domain_scores_gemma":[0.9993307,0.000114293325,0.00006939043,0.00040832575,0.000033912052,0.000043366737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038114127,0.00010095343,0.0001237018,0.000079008365,0.0006536952,0.000115608964,0.0007712249,0.000027512635,0.000060374055],"category_scores_gemma":[0.00008347604,0.00006705315,0.000025833082,0.0002130279,0.00026172528,0.00023545924,0.00009210453,0.00007970481,0.00004777329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007611932,0.000017367427,0.003219792,0.000062879466,0.00005669285,2.644344e-7,0.0037438245,0.106384955,0.53320533,0.010944235,0.0012559645,0.3411011],"study_design_scores_gemma":[0.00028292547,0.000046029923,0.022778094,0.000034010623,0.00003622928,7.707651e-7,0.0007175422,0.13721788,0.83162886,0.0052299933,0.0017946018,0.00023306362],"about_ca_topic_score_codex":0.000012364694,"about_ca_topic_score_gemma":0.000010894475,"teacher_disagreement_score":0.34086806,"about_ca_system_score_codex":0.000026034999,"about_ca_system_score_gemma":0.00003357422,"threshold_uncertainty_score":0.5027761},"labels":[],"label_agreement":null},{"id":"W2771308870","doi":"10.3390/app7121242","title":"Melodic Similarity and Applications Using Biologically-Inspired Techniques","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Similarity (geometry); Computer science; Melody; Heuristics; Biological data; Intuition; Artificial intelligence; Representation (politics); Machine learning; Cognitive science; Bioinformatics; Psychology; Biology","score_opus":0.07007714419883264,"score_gpt":0.3196314742910901,"score_spread":0.24955433009225747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771308870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050224643,0.00014675761,0.8987443,0.0016469009,0.000055419965,0.0002951013,0.0000011265333,0.00027509205,0.048610654],"genre_scores_gemma":[0.8311751,0.00001594669,0.16804384,0.00065925135,0.00006096643,0.00003082216,1.7579391e-7,0.0000018184616,0.000012112066],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998994,0.000011272527,0.00012889375,0.00046598545,0.00017709604,0.00022277802],"domain_scores_gemma":[0.99926066,0.00003949558,0.00016773479,0.0004380956,0.00002765539,0.0000663332],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00058100256,0.00009694595,0.00012137764,0.000052619213,0.0025309823,0.0009023898,0.0014458282,0.00005588538,0.000003927734],"category_scores_gemma":[0.000025165547,0.00007226505,0.000017912815,0.00016445394,0.00096040446,0.00046776768,0.0005387991,0.00007596121,0.000004360827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001251338,0.000034643686,0.0028213128,0.000016764754,0.000004035421,0.0000016761873,0.0001713252,0.0000075331345,0.06345812,0.3723287,0.0001081496,0.5610465],"study_design_scores_gemma":[0.000576009,0.00018768669,0.02981044,0.00011481452,0.000032766613,0.00006358167,0.00024417898,0.046533454,0.23639998,0.6296005,0.054769095,0.0016674842],"about_ca_topic_score_codex":0.000020387595,"about_ca_topic_score_gemma":0.0000037899215,"teacher_disagreement_score":0.7809504,"about_ca_system_score_codex":0.000010081258,"about_ca_system_score_gemma":0.000072383795,"threshold_uncertainty_score":0.9987676},"labels":[],"label_agreement":null},{"id":"W2773877055","doi":"10.3390/app7121277","title":"Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie; Deutsche Forschungsgemeinschaft","keywords":"Supine position; Underwater; Wearable computer; Sitting; Acoustics; Computer science; Simulation; Medicine; Physics; Embedded system; Internal medicine","score_opus":0.02900251826418184,"score_gpt":0.3149650623901125,"score_spread":0.2859625441259307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773877055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8875865,0.00012659542,0.1091255,0.00028443037,0.00015111413,0.0005358891,0.0000015476813,0.00012556912,0.0020628958],"genre_scores_gemma":[0.99231607,0.0000074841264,0.0070725325,0.0000072414164,0.0002877422,0.00019776552,0.0000040063906,0.0000118354965,0.00009531599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988694,0.0000053999097,0.00014545527,0.00037782066,0.00029558793,0.0003063186],"domain_scores_gemma":[0.99925673,0.000037458904,0.00015334468,0.00038459874,0.00008381134,0.00008408337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038112022,0.00011953102,0.00021558595,0.000095855,0.001093062,0.00018426782,0.00025332932,0.000042382755,9.351182e-7],"category_scores_gemma":[0.000010753921,0.000084215484,0.000048384143,0.00017623891,0.00017920736,0.000090739486,0.000016724185,0.0000870529,0.000016278516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035128588,0.00023538074,0.32950303,0.000814673,0.0001543544,0.0000032940686,0.00018345486,0.0029346459,0.5442262,0.0011264905,0.000056102373,0.120411046],"study_design_scores_gemma":[0.0024287377,0.0004034174,0.02672502,0.0007342923,0.00033726392,0.000005054988,0.0007736078,0.15994482,0.8075764,0.00015137599,0.00052860065,0.00039139067],"about_ca_topic_score_codex":0.000091324415,"about_ca_topic_score_gemma":0.000005375889,"teacher_disagreement_score":0.302778,"about_ca_system_score_codex":0.00006310793,"about_ca_system_score_gemma":0.00010878574,"threshold_uncertainty_score":0.840706},"labels":[],"label_agreement":null},{"id":"W2774268514","doi":"10.3390/app7121255","title":"Elution of Artificial Sputum from Swab by Rotating Magnetic Field-Induced Mechanical Impingement","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Elution; Chromatography; Centrifugation; Polystyrene; Materials science; Chemistry; Biomedical engineering; Composite material; Medicine; Polymer","score_opus":0.029334608289697965,"score_gpt":0.30228989558176556,"score_spread":0.2729552872920676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774268514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940555,0.00006908177,0.0013428357,0.00020581714,0.00017719685,0.0001335189,0.000009898525,0.0000035531386,0.0040025935],"genre_scores_gemma":[0.9988063,0.000019702175,0.0008872849,0.000058368125,0.00017414564,0.0000136331955,0.000009917982,0.000003956065,0.000026670894],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990948,0.000017584262,0.00016313347,0.0003000147,0.00021632643,0.00020816957],"domain_scores_gemma":[0.9995201,0.000019500629,0.00010641034,0.00026951765,0.00003317311,0.000051255378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038043206,0.000075178315,0.000101456855,0.000015417812,0.0003519979,0.000091109505,0.00042122314,0.00008449783,0.000088741464],"category_scores_gemma":[0.000118248776,0.00006481877,0.00003458295,0.00003511714,0.0001105491,0.000004569288,0.00018548085,0.00005404479,0.000009078237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039578295,0.000020677751,0.00012630675,0.0000027871192,0.000004319623,1.8079758e-7,0.000013237423,9.106636e-7,0.94207484,0.0008851002,0.00020814907,0.056623895],"study_design_scores_gemma":[0.00016607554,0.00041612252,0.00083711924,0.0000053527706,0.0000045196625,1.3858164e-7,0.00006273261,0.0002982917,0.996581,0.00087926054,0.0006611752,0.00008820379],"about_ca_topic_score_codex":0.00021047077,"about_ca_topic_score_gemma":0.00008664298,"teacher_disagreement_score":0.05653569,"about_ca_system_score_codex":0.0000039820216,"about_ca_system_score_gemma":0.00006231689,"threshold_uncertainty_score":0.27073187},"labels":[],"label_agreement":null},{"id":"W2781081308","doi":"10.3390/app7121315","title":"Plasmon Modulation Spectroscopy of Noble Metals to Reveal the Distribution of the Fermi Surface Electrons in the Conduction Band","year":2017,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Plasmon; Surface plasmon; Electron; Surface plasmon polariton; Atomic physics; Molecular physics; Materials science; Femtosecond; Fermi level; Chemistry; Physics; Optoelectronics; Optics; Laser","score_opus":0.03301429222691562,"score_gpt":0.2849635311031464,"score_spread":0.2519492388762308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781081308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595183,0.000014123853,0.00010777949,0.0026717244,0.0000610177,0.00034893278,0.000012613793,0.0000056156982,0.0008263419],"genre_scores_gemma":[0.9997814,0.0000035944904,0.0001230504,0.0000294828,0.00001662398,0.000025978836,6.6360053e-7,0.0000020144737,0.000017153276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991247,0.00006157756,0.00019828828,0.00016930715,0.00028669531,0.00015943502],"domain_scores_gemma":[0.9992479,0.00011084701,0.00020671502,0.00039311545,0.000026446867,0.000014974596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013442237,0.000060424245,0.000106495296,0.000010358866,0.0007525325,0.00010615673,0.0007402748,0.000020715834,0.000011359539],"category_scores_gemma":[0.00005461867,0.000027443672,0.00003240255,0.0002218701,0.00044471267,0.00011159962,0.000046329602,0.000044974782,0.000007827264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064388682,0.000026808153,0.001456816,0.0000018884588,8.713103e-7,1.0185642e-8,0.00024150165,0.001413811,0.9761089,0.02057243,0.000094417745,0.00007608851],"study_design_scores_gemma":[0.000054738084,0.000021886266,0.07742816,0.000006584761,0.000008063324,4.5822614e-7,0.00031330888,0.0002402193,0.918752,0.0030599579,0.0000794955,0.000035081768],"about_ca_topic_score_codex":0.00022309435,"about_ca_topic_score_gemma":0.00012109453,"teacher_disagreement_score":0.07597134,"about_ca_system_score_codex":0.00001468872,"about_ca_system_score_gemma":0.00004026459,"threshold_uncertainty_score":0.5787948},"labels":[],"label_agreement":null},{"id":"W2781566078","doi":"10.3390/app8010050","title":"IR Reflectography and Active Thermography on Artworks: The Added Value of the 1.5–3 µm Band","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Vlaamse regering; Universiteit Antwerpen; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Infrared; Thermography; Multispectral image; Materials science; Optics; Coating; Optoelectronics; Remote sensing; Computer science; Artificial intelligence; Physics; Geology; Nanotechnology","score_opus":0.008648886017065082,"score_gpt":0.21901124168551614,"score_spread":0.21036235566845105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781566078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9375298,0.00022693466,0.0004884052,0.00007037692,0.00018370389,0.0003419168,0.00002829686,0.0001629851,0.060967572],"genre_scores_gemma":[0.99948215,0.000043732536,0.00019700127,0.00016227177,0.000064726744,0.000037790644,2.4493897e-7,0.000009169884,0.0000028936067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992517,0.000032027907,0.000119902834,0.00018162347,0.00021549118,0.0001992037],"domain_scores_gemma":[0.9994477,0.00019281782,0.00004816613,0.0002638193,0.000018018713,0.00002946334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029815416,0.00012828,0.00011162201,0.00011000083,0.00035068564,0.00003532856,0.00042654446,0.000057028068,0.000018888455],"category_scores_gemma":[0.0000059553972,0.00006479989,0.000074239404,0.0011390173,0.0016659029,0.000040732702,0.000028249287,0.00014766044,5.5216094e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019101548,0.00011796086,0.0029972538,0.00006536541,0.00033334672,6.891374e-7,0.014472549,0.0010804503,0.7544571,0.14493446,0.004442098,0.07690772],"study_design_scores_gemma":[0.00025697498,0.00034131156,0.07038176,0.0001034218,0.00006327855,0.0000036702213,0.0015131026,0.00092962105,0.86512125,0.058535013,0.0023902536,0.0003603513],"about_ca_topic_score_codex":0.000014155866,"about_ca_topic_score_gemma":0.000016389218,"teacher_disagreement_score":0.110664144,"about_ca_system_score_codex":0.0000032955747,"about_ca_system_score_gemma":0.000009380587,"threshold_uncertainty_score":0.6138089},"labels":[],"label_agreement":null},{"id":"W2781980584","doi":"10.3390/app8010056","title":"A Bio-Inspired Control Strategy for Locomotion of a Quadruped Robot","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Central pattern generator; Trajectory; Workspace; Robot; Robot locomotion; Inverse kinematics; Gait; Computer science; Control theory (sociology); Kinematics; Control engineering; Engineering; Simulation; Robot control; Control (management); Artificial intelligence; Mobile robot; Physics","score_opus":0.02542039756149888,"score_gpt":0.2542111159625906,"score_spread":0.22879071840109172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781980584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080399014,0.00007218341,0.89672285,0.0002277584,0.00038119676,0.00092965574,0.000010220104,0.00027267222,0.020984467],"genre_scores_gemma":[0.99692345,0.0000021296473,0.0027769983,0.00006732936,0.00011319408,0.00007621883,0.0000014788731,0.000008237859,0.000030953164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992343,0.000010403995,0.00021509909,0.00016263797,0.00015443668,0.00022312853],"domain_scores_gemma":[0.9996774,0.00005804452,0.000046593308,0.00011732617,0.00005103957,0.000049578026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003314741,0.00009791418,0.00017143058,0.00008153883,0.00011278686,0.000035243753,0.00020092576,0.000047609396,0.000055667257],"category_scores_gemma":[0.000010902682,0.00008240214,0.000046985693,0.0002584096,0.00027858108,0.00007468223,0.0000065587287,0.000033252003,0.000030122736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011302246,0.00018378693,0.000325003,0.00014702063,0.00013007931,8.0971387e-7,0.0010577965,0.28416535,0.4754664,0.14421266,0.0019388072,0.092259265],"study_design_scores_gemma":[0.003707174,0.00062783336,0.0021028887,0.000027038226,0.000047779093,0.0000031152417,0.0006095318,0.9314482,0.053233113,0.0068237325,0.0009939037,0.0003756905],"about_ca_topic_score_codex":0.000008185117,"about_ca_topic_score_gemma":0.000022055465,"teacher_disagreement_score":0.91652447,"about_ca_system_score_codex":0.000014047591,"about_ca_system_score_gemma":0.000029300669,"threshold_uncertainty_score":0.33602616},"labels":[],"label_agreement":null},{"id":"W2789207129","doi":"10.3390/app8010122","title":"Transition Analysis and Its Application to Global Path Determination for a Biped Climbing Robot","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China-Guangdong Joint Fund; National Natural Science Foundation of China","keywords":"Reachability; Robot; Computer science; Path (computing); Truss; Motion planning; Climbing; Control theory (sociology); Simulation; Engineering; Artificial intelligence; Algorithm; Structural engineering; Control (management)","score_opus":0.010557791105507551,"score_gpt":0.25274323096342655,"score_spread":0.242185439857919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789207129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14078782,0.0000130104845,0.8574586,0.00016059855,0.000040675048,0.00034046895,0.000004028653,0.000080974794,0.00111382],"genre_scores_gemma":[0.99179053,0.0000022362535,0.007872072,0.00013178315,0.00005812567,0.00013433618,0.0000041551016,0.0000030016229,0.0000037682328],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946076,0.0000051111674,0.00011116944,0.00018110524,0.00010820605,0.00013364111],"domain_scores_gemma":[0.9998194,0.000020337617,0.000018372488,0.000058131493,0.000032445932,0.00005131098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021207405,0.00006363688,0.00009154177,0.00009015231,0.00015502903,0.000051447165,0.00007910179,0.000029647472,0.00000527453],"category_scores_gemma":[0.0000058316173,0.00005984753,0.000025740666,0.00072884274,0.00003490666,0.000078541285,0.0000056036242,0.0000145318645,0.000012154727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042555006,0.000056958346,0.00047869288,0.000067380985,0.0001209963,2.6190781e-7,0.0027838745,0.1861637,0.2555941,0.032223854,0.00007353536,0.52239406],"study_design_scores_gemma":[0.0002061948,0.000051732964,0.0034459464,0.0000028918116,0.00006884316,5.17402e-7,0.00012123545,0.9897819,0.0053958218,0.0007520103,0.0000741469,0.00009872109],"about_ca_topic_score_codex":0.0000041261333,"about_ca_topic_score_gemma":0.000059388025,"teacher_disagreement_score":0.8510027,"about_ca_system_score_codex":0.000025512767,"about_ca_system_score_gemma":0.0000062075146,"threshold_uncertainty_score":0.24405114},"labels":[],"label_agreement":null},{"id":"W2790596610","doi":"10.3390/app8030409","title":"Depth Retrieval Procedures in Pulsed Thermography: Remarks in Time and Frequency Domain Analyses","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Thermography; Contrast (vision); Ranging; Materials science; Frequency domain; Optics; Computer science; Geology; Artificial intelligence; Computer vision; Geodesy; Physics","score_opus":0.014516541046480995,"score_gpt":0.265867643878943,"score_spread":0.25135110283246204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790596610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755249,0.00034763577,0.00024862424,0.000013349665,0.000027066872,0.00022709895,0.000008761859,0.00018077902,0.023421783],"genre_scores_gemma":[0.9966831,0.000038107504,0.0031763,0.000038521146,0.000031249016,0.00001891513,0.0000012178563,0.000009810122,0.0000027542574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990396,0.00002194209,0.00019738905,0.00026221076,0.00019395279,0.00028489117],"domain_scores_gemma":[0.99972326,0.000069575086,0.00002626722,0.00012516425,0.000010223467,0.000045525117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005882585,0.00013822559,0.0001681894,0.00044602944,0.0000774259,0.00005590773,0.00027631884,0.00008673248,0.00004516563],"category_scores_gemma":[0.000015999407,0.00011483171,0.000026008738,0.0015653209,0.0005473895,0.00009687975,0.000023237553,0.00012556236,0.0000018228562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046581485,0.000035253852,0.021923149,0.000038509912,0.000016811893,0.0000069754283,0.0016321713,0.00010951564,0.9728543,0.0013366299,0.000083668914,0.0019164134],"study_design_scores_gemma":[0.001236864,0.0004177822,0.50891,0.00031313978,0.00003424817,0.000020012534,0.0012609313,0.0056429817,0.27190617,0.20889269,0.000072945135,0.0012922541],"about_ca_topic_score_codex":0.00008810875,"about_ca_topic_score_gemma":0.000641384,"teacher_disagreement_score":0.7009482,"about_ca_system_score_codex":0.0000136216295,"about_ca_system_score_gemma":0.000023834147,"threshold_uncertainty_score":0.46827012},"labels":[],"label_agreement":null},{"id":"W2791092661","doi":"10.3390/app8020240","title":"Thermographic Non-Destructive Evaluation for Natural Fiber-Reinforced Composite Laminates","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Materials science; Thermography; Composite material; Bagasse; Natural fiber; Composite number; Composite laminates; Delamination (geology); Nondestructive testing; Pulp and paper industry; Infrared; Geology","score_opus":0.01164115777580248,"score_gpt":0.25216883455323824,"score_spread":0.24052767677743575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791092661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97053987,0.00007923657,0.006928924,0.000010739878,0.00026793382,0.00074045977,0.000028494675,0.00035456577,0.021049747],"genre_scores_gemma":[0.9953815,0.0000032938106,0.004246483,0.000030512212,0.000097744734,0.00019231117,0.000009167718,0.000011342335,0.000027661765],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992228,0.000008335038,0.00012903735,0.0001887259,0.00021873049,0.00023233064],"domain_scores_gemma":[0.9996329,0.00010251656,0.000035780176,0.00012033153,0.00007686328,0.000031584408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044239592,0.00012731094,0.00010939223,0.00015079994,0.00026522682,0.00005685912,0.0002497571,0.000056145225,0.00004883989],"category_scores_gemma":[0.000006713009,0.00010551959,0.00005296428,0.0004846376,0.00047417777,0.00011229124,0.000015254062,0.00006952236,0.0000041632156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030944186,0.0000063197276,0.000052236028,0.00003278574,0.000045161545,1.2888732e-7,0.001284542,0.0012391453,0.9397326,0.007957363,0.00048465165,0.04913414],"study_design_scores_gemma":[0.00052939414,0.00024782712,0.008407521,0.00004191492,0.00007279494,0.0000040093605,0.00037341996,0.19660863,0.765233,0.027423918,0.0005728689,0.0004846861],"about_ca_topic_score_codex":0.000008681236,"about_ca_topic_score_gemma":0.0000052852442,"teacher_disagreement_score":0.1953695,"about_ca_system_score_codex":0.000016246913,"about_ca_system_score_gemma":0.000016318512,"threshold_uncertainty_score":0.43029642},"labels":[],"label_agreement":null},{"id":"W2791771012","doi":"10.3390/app8030459","title":"Extraction of Independent Structural Images for Principal Component Thermography","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Principal component analysis; Thermography; Orthonormal basis; Computer science; Superposition principle; Artificial intelligence; Pattern recognition (psychology); Nondestructive testing; Computer vision; Mathematics; Optics; Infrared","score_opus":0.014586099585612269,"score_gpt":0.2648912425862609,"score_spread":0.25030514300064866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791771012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96010983,0.00006317008,0.033449925,0.000005533806,0.00022301127,0.0002816465,0.00005566487,0.00020459366,0.0056066257],"genre_scores_gemma":[0.9948222,0.000005801636,0.005037066,0.000009018755,0.00007207539,0.000042117812,0.0000019756562,0.0000070785354,0.000002655561],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999408,0.000005134328,0.00013896698,0.00013357084,0.0001540009,0.0001603476],"domain_scores_gemma":[0.99976426,0.00005418034,0.000041858522,0.00008531724,0.000026289228,0.000028078364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021800883,0.00008641971,0.00009764481,0.000119665725,0.000120381876,0.000020526237,0.00017811143,0.00004214878,0.000033181248],"category_scores_gemma":[0.0000023156151,0.00006973665,0.000051179835,0.00022973298,0.00038547974,0.00006446015,0.00001351201,0.000050255134,4.865676e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002002107,0.00000950848,0.00041689436,0.000029564571,0.000019614597,1.1452518e-7,0.00031305588,0.00020935631,0.98216546,0.0053624213,0.00015657542,0.011297402],"study_design_scores_gemma":[0.0001714979,0.00014709773,0.037587103,0.000013129188,0.000016688546,0.0000034820293,0.0002567076,0.004150818,0.94695973,0.00987949,0.0006340197,0.00018021537],"about_ca_topic_score_codex":0.000011624126,"about_ca_topic_score_gemma":0.000004145261,"teacher_disagreement_score":0.03717021,"about_ca_system_score_codex":0.0000064288492,"about_ca_system_score_gemma":0.000007259333,"threshold_uncertainty_score":0.2843778},"labels":[],"label_agreement":null},{"id":"W2791955848","doi":"10.3390/app8020310","title":"Effects of Post-Synthesis Activation and Relative Humidity on Adsorption Performance of ZIF-8 for Capturing Toluene from a Gas Phase in a Continuous Mode","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Hamadan University of Medical Sciences","keywords":"Toluene; Adsorption; Scanning electron microscope; Relative humidity; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Materials science; Aqueous two-phase system; Chemical engineering; Particle size; Aqueous solution; Phase (matter); Chemistry; Nuclear chemistry; Chromatography; Physical chemistry; Organic chemistry; Thermodynamics; Composite material","score_opus":0.01731754652512351,"score_gpt":0.2631481891569533,"score_spread":0.2458306426318298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791955848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712723,0.000026453896,0.0014591026,0.000052954045,0.000012963977,0.00023212231,0.000025435178,0.000011980494,0.0010517654],"genre_scores_gemma":[0.99717325,0.000013729411,0.002569511,0.00001972271,0.000045657755,0.00015925974,0.00000380638,0.000006355143,0.00000868826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918944,0.000012199714,0.00022955306,0.0002771128,0.0001617171,0.0001299784],"domain_scores_gemma":[0.9984538,0.0010378087,0.00029170077,0.00014052365,0.000048340225,0.00002783832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320247,0.00009664966,0.00021448969,0.00006224414,0.00009621592,0.000012825445,0.00013897842,0.00008429097,0.00005435305],"category_scores_gemma":[0.00030967998,0.000082787155,0.000027265876,0.00016620083,0.00029961037,0.00010773234,0.000024026613,0.00007100571,0.000001618485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012867786,0.00014365834,0.00026331158,0.00007331471,0.000010009691,2.3582675e-8,0.00080554414,0.000019325815,0.98297006,0.0017038006,0.000003660505,0.013878587],"study_design_scores_gemma":[0.00039651647,0.00008929984,0.00114837,0.0001937926,0.000023176126,1.2678446e-7,0.00027423893,0.0049889423,0.9910406,0.0017430751,0.000016581134,0.00008527054],"about_ca_topic_score_codex":0.00013500736,"about_ca_topic_score_gemma":0.000021784997,"teacher_disagreement_score":0.013793316,"about_ca_system_score_codex":0.000023138615,"about_ca_system_score_gemma":0.00002813247,"threshold_uncertainty_score":0.3375962},"labels":[],"label_agreement":null},{"id":"W2792878463","doi":"10.3390/app8020286","title":"Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Medical physics; Frame (networking); Data science; Quality (philosophy); Field (mathematics); Relevance (law); Medicine","score_opus":0.06796849321995323,"score_gpt":0.3126678164756416,"score_spread":0.24469932325568838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792878463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922209,0.000021187318,0.0028991336,0.0008104396,0.00020577987,0.0008992034,0.00000731506,0.000060491948,0.0028755518],"genre_scores_gemma":[0.9901305,0.0000034168493,0.008550701,0.0009341416,0.00019218252,0.00012079506,0.000001579705,0.000009253626,0.000057437956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885184,0.00004523867,0.00021341744,0.00033546667,0.00022079924,0.00033323816],"domain_scores_gemma":[0.99758124,0.0020563568,0.000060816106,0.00018961125,0.000053893506,0.000058083984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013488057,0.000121267505,0.00017922651,0.00015912562,0.000996233,0.0001682051,0.00011190367,0.000031542444,0.00009438016],"category_scores_gemma":[0.0003792341,0.00007747663,0.000033914203,0.00055736705,0.0007431153,0.00008627443,0.000016618073,0.00013080631,0.000012602418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015763564,0.00057280913,0.1120429,0.000025717633,0.000113952345,0.000005343895,0.02199083,0.00012479145,0.84381807,0.015518147,0.0051893126,0.00044046383],"study_design_scores_gemma":[0.014845925,0.0086785965,0.338029,0.00041505517,0.00092277024,0.0005647072,0.17657046,0.0015948676,0.27205315,0.16878228,0.0152260745,0.0023170942],"about_ca_topic_score_codex":0.00014316653,"about_ca_topic_score_gemma":0.00022549997,"teacher_disagreement_score":0.57176495,"about_ca_system_score_codex":0.00001813457,"about_ca_system_score_gemma":0.00010435332,"threshold_uncertainty_score":0.7662319},"labels":[],"label_agreement":null},{"id":"W2793192337","doi":"10.3390/app8030387","title":"A Multi-Modal Person Recognition System for Social Robots","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Computer science; Artificial intelligence; Robot; Facial recognition system; Human–robot interaction; Constraint (computer-aided design); Machine learning; Biometrics; Perception; Pattern recognition (psychology); Speech recognition; Engineering","score_opus":0.16505984671637092,"score_gpt":0.3680925408072594,"score_spread":0.20303269409088848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793192337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63469994,0.000028835899,0.030536044,0.0007992695,0.003584013,0.0013037556,0.000054762913,0.00038659593,0.32860678],"genre_scores_gemma":[0.9921452,4.5909297e-7,0.006081617,0.00027574465,0.000783264,0.00021175007,0.000019026516,0.000008290239,0.0004746942],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9991105,0.000034791385,0.00012351277,0.0003362129,0.00013577996,0.00025919836],"domain_scores_gemma":[0.99969095,0.000043542004,0.00008592003,0.00005890025,0.00007736941,0.00004334759],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047223706,0.00008577841,0.0001022007,0.00009170011,0.00066298776,0.000047984293,0.0001254575,0.00009738946,0.0002468246],"category_scores_gemma":[0.000010781424,0.00007547551,0.000051968953,0.00021015237,0.00034321976,0.0000632257,0.00000954028,0.00004824573,0.0010216465],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005658212,0.0008393003,0.0003483194,0.00022700113,0.00014186614,0.000003958203,0.043363933,0.0000032204503,0.11345271,0.08894179,0.03980324,0.7123088],"study_design_scores_gemma":[0.041380744,0.007862639,0.1148273,0.0006291389,0.000823589,0.00035293945,0.5304963,0.01279845,0.22655404,0.015566034,0.042584047,0.00612479],"about_ca_topic_score_codex":0.000024700012,"about_ca_topic_score_gemma":0.000051113755,"teacher_disagreement_score":0.706184,"about_ca_system_score_codex":0.000026726748,"about_ca_system_score_gemma":0.000024230749,"threshold_uncertainty_score":0.99975616},"labels":[],"label_agreement":null},{"id":"W2793949042","doi":"10.3390/app8020205","title":"Intrinsic Magnetic Properties of Ce2Fe14B Modified by Al, Ni, or Si","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curie temperature; Tetragonal crystal system; Materials science; Condensed matter physics; Magnetization; Curie; Anisotropy; Atom (system on chip); Saturation (graph theory); Magnetic anisotropy; Crystallography; Magnetic field; Chemistry; Ferromagnetism; Crystal structure; Physics","score_opus":0.033426777540494716,"score_gpt":0.2360498645122039,"score_spread":0.20262308697170917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793949042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689038,0.0005586198,0.00006190594,0.00079335854,0.00039799736,0.00040588746,0.000007289004,0.00010894158,0.028762233],"genre_scores_gemma":[0.9945744,0.000027258635,0.0027220966,0.00087613374,0.00008979185,0.00005957428,6.103842e-7,0.000013796113,0.0016362901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975915,0.00005006281,0.00044159035,0.0006038501,0.00075819914,0.0005548235],"domain_scores_gemma":[0.99908996,0.00004972475,0.00016765531,0.00044275637,0.00013529374,0.00011461061],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084702903,0.00021385241,0.00030073404,0.000102422055,0.00035824825,0.00016779217,0.0010540504,0.000066715154,0.0020917915],"category_scores_gemma":[0.00015080045,0.0001325991,0.000030731062,0.00048315988,0.0038650157,0.00023216545,0.00033455322,0.000075100805,0.00050541677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001269172,0.00006450187,0.000015955446,0.000028827732,0.0000019947245,8.1458177e-7,0.00053930277,0.000005851323,0.9838244,0.0016122136,0.010085652,0.0036935853],"study_design_scores_gemma":[0.00035620862,0.0010099722,0.00008694955,0.00003485128,0.000011280434,0.0000070839205,0.00053839694,0.00031005385,0.9903976,0.00050978624,0.0064641354,0.00027372362],"about_ca_topic_score_codex":0.000279749,"about_ca_topic_score_gemma":0.00006810526,"teacher_disagreement_score":0.027125942,"about_ca_system_score_codex":0.000022244838,"about_ca_system_score_gemma":0.00021424696,"threshold_uncertainty_score":0.9988459},"labels":[],"label_agreement":null},{"id":"W2794027132","doi":"10.3390/app8030349","title":"Using Multispectral Airborne LiDAR Data for Land/Water Discrimination: A Case Study at Lake Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lidar; Remote sensing; Multispectral image; Elevation (ballistics); Ranging; Environmental science; Context (archaeology); Geography; Geodesy; Mathematics","score_opus":0.06327632722826688,"score_gpt":0.2963617145577054,"score_spread":0.2330853873294385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794027132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157065,0.000001375799,0.0008119181,0.00022266118,0.00012585183,0.00054255343,0.000032048803,0.000022027416,0.006670883],"genre_scores_gemma":[0.9888215,9.836652e-8,0.010354996,0.000120689,0.00009309112,0.000008202769,0.000029349809,0.000007282757,0.00056480465],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985601,0.00001614406,0.00016492455,0.00058959814,0.00033478788,0.00033446497],"domain_scores_gemma":[0.99930763,0.00004262899,0.000048076916,0.00050273474,0.00001027279,0.00008863921],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00044016863,0.00011717003,0.00010778256,0.000020799245,0.001304765,0.00007917067,0.00045613633,0.000024079185,0.00050886197],"category_scores_gemma":[0.000008168567,0.000082951534,0.000013615944,0.00017447842,0.00045979407,0.00013786428,0.00038042403,0.000053578693,0.00004183621],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003269898,0.0026726476,0.6195803,0.000058372003,0.0002482472,0.0010742332,0.108023174,0.00912722,0.11267098,0.0012055051,0.06781805,0.07719423],"study_design_scores_gemma":[0.0050161686,0.0013381589,0.25683317,0.000036905592,0.0005222334,0.0029877485,0.033981983,0.14130917,0.04313812,0.0014454743,0.5101164,0.0032744992],"about_ca_topic_score_codex":0.9066227,"about_ca_topic_score_gemma":0.99949074,"teacher_disagreement_score":0.44229832,"about_ca_system_score_codex":0.0002725542,"about_ca_system_score_gemma":0.00011314646,"threshold_uncertainty_score":0.9999954},"labels":[],"label_agreement":null},{"id":"W2795971204","doi":"10.3390/app8040581","title":"Matched-Filter Thermography","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Thermography; Optics; Pulse compression; Deconvolution; Acoustics; Filter (signal processing); Materials science; Infrared; Computer science; Computer vision; Physics; Radar; Telecommunications","score_opus":0.012807828628062186,"score_gpt":0.220625477359355,"score_spread":0.20781764873129283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795971204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6454769,0.00012178637,0.02023809,0.000025820778,0.0002987442,0.00015929856,0.000017764713,0.0013108035,0.33235082],"genre_scores_gemma":[0.9971755,0.000010724383,0.0025112315,0.00013070977,0.00012025896,0.00002700801,5.4784755e-7,0.000009812719,0.00001418122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999408,0.0000044861235,0.00008967885,0.00014716772,0.00013224826,0.0002184005],"domain_scores_gemma":[0.9997919,0.00002543065,0.0000122364,0.00011986696,0.000010282885,0.000040254476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001890577,0.000094603514,0.000079639656,0.0001148941,0.00013975581,0.00004431824,0.00025393447,0.000044365064,0.00023120664],"category_scores_gemma":[0.0000011065031,0.000075209835,0.000036952224,0.0005506447,0.0005237681,0.000055219345,0.000017327908,0.00006014497,0.000028755325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012528238,0.000034758115,0.0013519052,0.00003290497,0.000054275784,0.000002067891,0.002179937,0.00009865361,0.8734933,0.041107334,0.012930963,0.068701364],"study_design_scores_gemma":[0.00021792654,0.00019662798,0.0109952185,0.000030350564,0.000025919187,0.000009130667,0.00066663005,0.0031214715,0.89134437,0.067824066,0.02480005,0.0007682138],"about_ca_topic_score_codex":0.0000050083695,"about_ca_topic_score_gemma":0.0000040405707,"teacher_disagreement_score":0.35169867,"about_ca_system_score_codex":0.0000035610842,"about_ca_system_score_gemma":0.000005157271,"threshold_uncertainty_score":0.3066968},"labels":[],"label_agreement":null},{"id":"W2796517058","doi":"10.3390/app8040606","title":"End-to-End Neural Optical Music Recognition of Monophonic Scores","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Economía y Competitividad","keywords":"Connectionism; Computer science; Artificial neural network; Convolutional neural network; Musical notation; Scalability; Notation; Artificial intelligence; Speech recognition; Pattern recognition (psychology); End-to-end principle; Musical; Arithmetic; Mathematics","score_opus":0.05113765583816901,"score_gpt":0.2677386336652907,"score_spread":0.2166009778271217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796517058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86148494,0.000033072596,0.106655836,0.00078594295,0.00041027414,0.00012836927,0.0000010616111,0.000078995756,0.0304215],"genre_scores_gemma":[0.9349501,0.0000012040033,0.06362375,0.0012308455,0.00015747317,0.000010470042,4.513761e-7,0.0000031432576,0.000022526776],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857605,0.000015534026,0.0002073646,0.0004582154,0.0004245437,0.0003182826],"domain_scores_gemma":[0.99942476,0.000088169625,0.0000916924,0.00022603724,0.000068629975,0.00010069301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005086664,0.000102714075,0.00013742129,0.00013974107,0.00031051034,0.00018268077,0.000918093,0.00003442608,0.00010784478],"category_scores_gemma":[0.0000356254,0.000082151346,0.000029882547,0.0010428611,0.0007357144,0.00036133223,0.00025428497,0.00006885172,0.0001587589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000111608,0.000055572506,0.0001949943,0.000018246055,0.000005100143,0.0000024262658,0.0020649119,0.000060369064,0.11598407,0.036022644,0.0012358094,0.8443447],"study_design_scores_gemma":[0.00058235903,0.0008968453,0.010050194,0.00012222766,0.000018778843,0.00003227974,0.000457882,0.044718392,0.87136614,0.069481134,0.0014990284,0.0007747473],"about_ca_topic_score_codex":0.00001754253,"about_ca_topic_score_gemma":0.000016921476,"teacher_disagreement_score":0.84356993,"about_ca_system_score_codex":0.00001130973,"about_ca_system_score_gemma":0.000120442855,"threshold_uncertainty_score":0.33500347},"labels":[],"label_agreement":null},{"id":"W2800600340","doi":"10.3390/app8050654","title":"Deep Neural Networks for Document Processing of Music Score Images","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Universidad de Alicante","keywords":"Computer science; Digitization; Convolutional neural network; Artificial intelligence; Artificial neural network; Field (mathematics); Deep learning; Process (computing); Classifier (UML); Machine learning; Pattern recognition (psychology); Speech recognition; Computer vision","score_opus":0.029425537264434663,"score_gpt":0.2716329150582529,"score_spread":0.2422073777938182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800600340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024524735,0.00027386803,0.96851534,0.00042165164,0.00027274067,0.00020985749,2.1376779e-7,0.00007370649,0.005707865],"genre_scores_gemma":[0.90984464,0.0000014008862,0.08903268,0.0008248245,0.00023795902,0.000028142771,3.6898385e-7,0.00000438945,0.000025628098],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998624,0.000010500961,0.00022951604,0.00045354676,0.00030522537,0.00037719274],"domain_scores_gemma":[0.999368,0.0000680002,0.00019932058,0.00019986935,0.00010548003,0.000059307666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005804208,0.000120201636,0.00015769416,0.00008030704,0.0005925688,0.00032114913,0.0010532882,0.000034594887,0.000012871647],"category_scores_gemma":[0.000016009039,0.000091493384,0.0000379929,0.00072735234,0.00075827865,0.0005622557,0.00020137352,0.000053841086,0.0000028086454],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009967432,0.000032875836,0.0002582056,0.00007071201,0.0000050312688,7.0231476e-7,0.0018021448,0.0027464242,0.00559717,0.03432972,0.0009812376,0.9541658],"study_design_scores_gemma":[0.00033009067,0.00020913237,0.0006354543,0.000051696443,0.000009698866,0.000006277852,0.00025036975,0.9495483,0.026402159,0.0217665,0.00050123886,0.00028906023],"about_ca_topic_score_codex":0.0000044589788,"about_ca_topic_score_gemma":0.0000060984617,"teacher_disagreement_score":0.95387673,"about_ca_system_score_codex":0.000010598648,"about_ca_system_score_gemma":0.00007687011,"threshold_uncertainty_score":0.455762},"labels":[],"label_agreement":null},{"id":"W2803670987","doi":"10.3390/app8060857","title":"Special Issue: Development and Application of Nonlinear Dissipative Device in Structural Vibration Control","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dissipative system; Nonlinear system; Engineering; Vibration; Vibration control; Development (topology); Control engineering; Mechanical engineering; Computer science; Physics; Acoustics; Mathematics","score_opus":0.007360579987223034,"score_gpt":0.24165689507108157,"score_spread":0.23429631508385854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803670987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91678464,0.000020409847,0.077433854,0.00003607062,0.00012736542,0.0001404633,0.0000027024817,0.00005047905,0.0054040304],"genre_scores_gemma":[0.9902443,0.000001256141,0.009344786,0.000017069047,0.0003709864,0.000010106694,0.0000039307597,0.0000033606202,0.0000041512526],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995001,0.0000044681206,0.00016702073,0.00011939276,0.00011695154,0.000092070266],"domain_scores_gemma":[0.99985474,0.000023893122,0.00002959249,0.000047254514,0.00001938463,0.000025116144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009270522,0.00007004565,0.00010240118,0.0000939492,0.000065071166,0.000018669185,0.00007150899,0.000026814447,0.000034494562],"category_scores_gemma":[0.0000060237508,0.00005923272,0.000007827977,0.0003567117,0.00014814392,0.00008889671,0.000007734892,0.00003439316,0.000006206937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004172142,0.000013617163,0.005503694,0.000102326216,0.000070929105,4.1555717e-7,0.011043014,0.22844565,0.091313004,0.018384466,0.00017017449,0.644911],"study_design_scores_gemma":[0.00026047372,0.000018340763,0.03675363,0.0000063167236,0.000006486913,5.2709424e-7,0.000525126,0.8949164,0.06539043,0.00016578031,0.0018201007,0.00013636597],"about_ca_topic_score_codex":0.000010847887,"about_ca_topic_score_gemma":0.000108249835,"teacher_disagreement_score":0.66647077,"about_ca_system_score_codex":0.000018122437,"about_ca_system_score_gemma":0.000012464025,"threshold_uncertainty_score":0.24154402},"labels":[],"label_agreement":null},{"id":"W2804871910","doi":"10.3390/app8050783","title":"A New Approach to Privacy-Preserving Multiple Independent Data Publishing","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Data publishing; Computer science; Generalization; Publishing; Composition (language); Information privacy; Data anonymization; Computer security; Internet privacy; Data mining; Mathematics","score_opus":0.11619624067784742,"score_gpt":0.3108646543613838,"score_spread":0.19466841368353635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804871910","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00567543,0.00004275915,0.89566,0.02237512,0.00054000487,0.0005027446,0.000017433229,0.0011916152,0.07399489],"genre_scores_gemma":[0.36983377,0.0000026678524,0.6291597,0.0006902673,0.00020121002,0.000022501898,0.0000125122115,0.000009739716,0.00006761979],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948451,0.000057131238,0.00040200513,0.002305721,0.0014217824,0.0009682482],"domain_scores_gemma":[0.9770021,0.0003636026,0.00019160575,0.02199825,0.0000995162,0.00034493004],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0034556054,0.0002749717,0.0002633351,0.00044649708,0.0007939217,0.004087424,0.19704877,0.00016939062,0.000043579763],"category_scores_gemma":[0.031588055,0.00024068191,0.000029841362,0.003319269,0.00042082655,0.00658363,0.406688,0.0004069591,0.00036436564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000680909,0.000066918365,0.0010432041,0.000010887068,0.000015624411,0.000002368128,0.0007250238,0.000028487499,0.0030112076,0.026760243,0.8950455,0.0732837],"study_design_scores_gemma":[0.00070312613,0.000121007964,0.0027630036,0.000052695246,0.000010353851,0.00003169986,0.0006301344,0.5805562,0.011614053,0.32071015,0.08180222,0.0010053406],"about_ca_topic_score_codex":0.0005151802,"about_ca_topic_score_gemma":0.0001100206,"teacher_disagreement_score":0.8132433,"about_ca_system_score_codex":0.00008033861,"about_ca_system_score_gemma":0.00036563442,"threshold_uncertainty_score":0.99694645},"labels":[],"label_agreement":null},{"id":"W2807323924","doi":"10.3390/app8060922","title":"Diode Laser Welding/Brazing of Aluminum Alloy to Steel Using a Nickel Coating","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Materials science; Coating; Metallurgy; Intermetallic; Brittleness; Alloy; Microstructure; Welding; Layer (electronics); Indentation hardness; Electroplating; Brazing; Nickel; Composite material; Joint (building)","score_opus":0.02657850956390567,"score_gpt":0.2855690285822378,"score_spread":0.25899051901833214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807323924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8614227,0.000018872519,0.13108274,0.000031125877,0.00009033568,0.00013722798,0.0000021470596,0.00028381404,0.0069310055],"genre_scores_gemma":[0.78927743,0.0000028811403,0.210545,0.000059568112,0.00006966166,0.000010378731,4.0625616e-7,0.00001651811,0.000018147412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987612,0.000008069687,0.00027939025,0.00028973437,0.0003093095,0.00035234023],"domain_scores_gemma":[0.9994979,0.00007292652,0.00007183315,0.00023470148,0.00004628138,0.000076356635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047525053,0.00014476683,0.00022548524,0.00021622612,0.00021477365,0.00004352788,0.00042589288,0.000051366278,0.000031840107],"category_scores_gemma":[0.000045386867,0.0001398422,0.00004827703,0.0010165783,0.00025442647,0.00015308149,0.0001322996,0.00008638622,0.00001839615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003424125,0.0000090804515,0.00068728544,0.000022928816,0.000020817246,8.721876e-7,0.0005381441,0.19026366,0.8040484,0.0020297633,0.00025364757,0.0021219742],"study_design_scores_gemma":[0.00007981059,0.00004676963,0.0000828793,0.00006423758,0.000023431521,0.0000021548335,0.0005512948,0.14281248,0.85438925,0.0010531984,0.00062920473,0.00026531192],"about_ca_topic_score_codex":0.000041432162,"about_ca_topic_score_gemma":0.000043483265,"teacher_disagreement_score":0.07946227,"about_ca_system_score_codex":0.000056388028,"about_ca_system_score_gemma":0.000019374524,"threshold_uncertainty_score":0.5702599},"labels":[],"label_agreement":null},{"id":"W2808632071","doi":"10.3390/app8060961","title":"Artificial Neural Networks as Metamodels for the Multiobjective Optimization of Biobutanol Production","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Process Optimization and Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Process (computing); Pareto principle; Computer science; Domain (mathematical analysis); Computation; Mathematical optimization; Mathematics; Algorithm","score_opus":0.025142529696635274,"score_gpt":0.2594671043009606,"score_spread":0.23432457460432532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808632071","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073052263,0.000059752838,0.9896969,0.00012659744,0.0004717664,0.00039904483,0.0000013787948,0.00008497836,0.0018543313],"genre_scores_gemma":[0.98896146,0.000016293692,0.010668622,0.000039751973,0.0002078655,0.00007956851,0.0000042491333,0.0000067264236,0.00001547927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994752,0.0000062329987,0.00015167029,0.00013980058,0.00011607046,0.00011103913],"domain_scores_gemma":[0.99968606,0.000045229102,0.000049796876,0.00007657475,0.0001282532,0.000014080371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023943913,0.000068038964,0.00006915836,0.00005604356,0.00027336195,0.00004491188,0.00012574242,0.00003516549,0.000021248072],"category_scores_gemma":[0.000054968277,0.00004600486,0.00002148543,0.00043021239,0.00024960894,0.0001983868,0.000007741909,0.000037082027,0.0000020137084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012100232,0.000006160434,0.0000024992219,0.0000029021119,0.0000064219703,3.0596543e-9,0.0002668398,0.9827523,0.0028030183,0.0045713396,0.00009150715,0.009484864],"study_design_scores_gemma":[0.00003474326,0.000041337345,0.000007125242,0.0000021734438,0.000010961206,4.076219e-7,0.00028145668,0.92679477,0.07206607,0.0006730739,0.000034206347,0.000053649852],"about_ca_topic_score_codex":0.0000052615655,"about_ca_topic_score_gemma":0.000013802247,"teacher_disagreement_score":0.9816562,"about_ca_system_score_codex":0.0000128406045,"about_ca_system_score_gemma":0.00001598371,"threshold_uncertainty_score":0.21025068},"labels":[],"label_agreement":null},{"id":"W2810241849","doi":"10.3390/app8071041","title":"Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Junta de Castilla y León; Consejería de Educación, Junta de Castilla y León; Ekonomiaren Garapen eta Lehiakortasun Saila, Eusko Jaurlaritza; Ministerio de Economía y Competitividad; Eusko Jaurlaritza; European Commission","keywords":"Scopus; China; Period (music); Geography; Sustainability; Pavement management; Regional science; Engineering; Transport engineering; Political science; Archaeology","score_opus":0.014468102871633188,"score_gpt":0.26653749829504597,"score_spread":0.2520693954234128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810241849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98652095,0.00021619776,0.0000067617216,0.0001845639,0.0002657384,0.00018640539,0.000002172044,0.000022800657,0.0125943925],"genre_scores_gemma":[0.99933684,0.0002546204,0.00006234811,0.000012407055,0.00013612727,0.000057598147,2.458395e-7,0.000008265832,0.00013153633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823135,0.00002740012,0.00022059536,0.00023708644,0.0007769243,0.00050666864],"domain_scores_gemma":[0.9994176,0.000042783544,0.00004542371,0.00043184814,0.0000359112,0.000026418596],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0011593287,0.00010753556,0.00013307403,0.011060339,0.00067960174,0.00013859392,0.0009823377,0.000031387,0.00007537111],"category_scores_gemma":[0.000007295057,0.000055685483,0.000073318115,0.10061425,0.0005573932,0.000071714676,0.0002999648,0.0002112646,0.000008986799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007883117,0.00018919732,0.42991865,0.0005727291,0.0017933205,0.000030405135,0.05079296,0.2640939,0.028650206,0.01916328,0.001966874,0.20274965],"study_design_scores_gemma":[0.00014538795,0.000010964153,0.98591876,0.0000204043,0.00002457744,8.4110735e-7,0.005608673,0.0007144475,0.0031746253,0.000049856942,0.0042429534,0.000088506575],"about_ca_topic_score_codex":0.00015034477,"about_ca_topic_score_gemma":0.00052210916,"teacher_disagreement_score":0.5560001,"about_ca_system_score_codex":0.00014675016,"about_ca_system_score_gemma":0.000011256758,"threshold_uncertainty_score":0.9869026},"labels":[],"label_agreement":null},{"id":"W2883280051","doi":"10.3390/app8071154","title":"Wideband Ge-Rich SiGe Polarization-Insensitive Waveguides for Mid-Infrared Free-Space Communications","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"European Research Council; European Commission","keywords":"Wideband; Optoelectronics; Photonics; Optics; Optical communication; Materials science; Infrared; Polarization (electrochemistry); Free-space optical communication; Wavelength; Physics","score_opus":0.02305847343288778,"score_gpt":0.25767141992441867,"score_spread":0.2346129464915309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883280051","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18881817,0.00078375457,0.072829306,0.0016221214,0.00051279156,0.000986074,0.00008124563,0.0006412722,0.73372525],"genre_scores_gemma":[0.9700138,0.000030156098,0.029358601,0.0002601896,0.00007119836,0.000046904726,0.000011089838,0.000011867924,0.0001961969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991929,0.00001044714,0.00016570202,0.0001948533,0.00016240287,0.0002737104],"domain_scores_gemma":[0.99901026,0.00038299055,0.000032529748,0.0004218139,0.00007972559,0.00007267315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026749505,0.00011390621,0.00013113595,0.00006684358,0.0005099431,0.00009944589,0.00062701054,0.000060028644,0.000025034371],"category_scores_gemma":[0.00009394784,0.00009936232,0.000027820914,0.00042966686,0.0007195427,0.00014969341,0.00010166472,0.00006831274,0.000046679495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027641103,0.000084716856,0.0005546227,0.00008449922,0.00011048262,9.056225e-7,0.0055123656,0.0011476786,0.4139118,0.5640327,0.011212421,0.0033202008],"study_design_scores_gemma":[0.0010045746,0.00020851093,0.0030028967,0.00006552515,0.0000745302,0.000005186945,0.0030855858,0.3355732,0.5271012,0.06993364,0.059062645,0.00088250573],"about_ca_topic_score_codex":0.000022895201,"about_ca_topic_score_gemma":0.00010893208,"teacher_disagreement_score":0.78119564,"about_ca_system_score_codex":0.000025646455,"about_ca_system_score_gemma":0.000043598287,"threshold_uncertainty_score":0.40518776},"labels":[],"label_agreement":null},{"id":"W2883911326","doi":"10.3390/app8071147","title":"Simulation of Real Defect Geometry and Its Detection Using Passive Magnetic Inspection (PMI) Method","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Point cloud; Nuclear decommissioning; Finite element method; Ferromagnetism; Structural engineering; Rebar; Magnetic field; Materials science; Mechanical engineering; Engineering; Physics","score_opus":0.029190691664519774,"score_gpt":0.3058962570720345,"score_spread":0.27670556540751473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883911326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8050797,0.000027543163,0.18934709,9.113823e-7,0.000075935204,0.00012500405,7.0415643e-7,0.00032114142,0.005021951],"genre_scores_gemma":[0.8080484,0.00000377424,0.19188198,0.0000019741017,0.000050474922,0.000005237888,1.5282758e-7,0.000007637849,3.2024394e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993844,0.000022012362,0.00013481437,0.00018274086,0.00014600252,0.00013000618],"domain_scores_gemma":[0.9995987,0.00019324225,0.00005813413,0.000072584364,0.000052144354,0.000025199817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035640138,0.00008542989,0.000100416866,0.000218314,0.00015819522,0.000023811039,0.00007320471,0.000053584434,0.0000062846448],"category_scores_gemma":[0.00007696456,0.00008349848,0.000015707252,0.0006718597,0.00018601086,0.0001385086,0.000027120503,0.00006155235,0.000001268425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006060823,0.0000049563487,0.0010140132,0.00003131828,0.0000060356615,1.8783612e-7,0.00022351157,0.016602688,0.9613406,0.0038166346,6.909233e-7,0.016953291],"study_design_scores_gemma":[0.000083565326,0.00018868904,0.008785994,0.000018632863,0.000019312563,0.0000060801403,0.0000808599,0.59832805,0.364792,0.027562616,0.0000023264947,0.00013188382],"about_ca_topic_score_codex":0.00005774674,"about_ca_topic_score_gemma":0.000021649317,"teacher_disagreement_score":0.5965486,"about_ca_system_score_codex":0.00004995808,"about_ca_system_score_gemma":0.000010368398,"threshold_uncertainty_score":0.34049693},"labels":[],"label_agreement":null},{"id":"W2884532098","doi":"10.3390/app8071135","title":"Tunable and Switchable Erbium-Doped Fiber Laser Using a Multimode-Fiber Based Filter","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Polarization controller; Polarization-maintaining optical fiber; Optics; Dispersion-shifted fiber; Comb filter; Multi-mode optical fiber; Fiber laser; Plastic optical fiber; Optoelectronics; Photonic-crystal fiber; Fiber optic sensor; Optical fiber; Wavelength; Fiber; Bandwidth (computing); Computer science; Physics; Telecommunications","score_opus":0.025667236423064763,"score_gpt":0.2488999934358525,"score_spread":0.22323275701278775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884532098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.925302,0.00007535665,0.0069046863,0.000043117616,0.00017756969,0.0002933482,0.0000067296114,0.00029147067,0.06690569],"genre_scores_gemma":[0.87356824,0.0000018661303,0.1251653,0.0001642042,0.0001109736,0.000017144866,9.829012e-7,0.000030709005,0.0009405511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867195,0.000009584183,0.0001850953,0.00038889764,0.00024927617,0.00049518223],"domain_scores_gemma":[0.99946994,0.000111512774,0.000033743912,0.00023579501,0.000036566013,0.000112448535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024160316,0.00020128032,0.0001857499,0.000113037044,0.00028596752,0.00009605187,0.00019618022,0.000074414376,0.0010364314],"category_scores_gemma":[0.000016684455,0.00017849644,0.000025554242,0.0004307086,0.0004574743,0.00024588834,0.000054676915,0.00010803786,0.00040211284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057044745,0.00006554855,0.0005301733,0.000121883444,0.000065310196,0.000014538652,0.0013651017,0.7693617,0.2096574,0.0005126132,0.0031550454,0.015093664],"study_design_scores_gemma":[0.00063515763,0.000048526217,0.00030166164,0.000034552817,0.000025403464,0.000009226239,0.0002057318,0.79181033,0.19395688,0.000572318,0.011883843,0.0005163637],"about_ca_topic_score_codex":0.000025030826,"about_ca_topic_score_gemma":0.000011553683,"teacher_disagreement_score":0.118260615,"about_ca_system_score_codex":0.00003905932,"about_ca_system_score_gemma":0.000030514682,"threshold_uncertainty_score":0.99987674},"labels":[],"label_agreement":null},{"id":"W2884912236","doi":"10.3390/app8071151","title":"Replacement of Vanadium by Ferrovanadium in a Ti-Based Body Centred Cubic (BCC) Alloy: Towards a Low-Cost Hydrogen Storage Material","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Vanadium; Alloy; Materials science; Hydrogen storage; Microstructure; Metallurgy; Cubic crystal system; Hydrogen; Thermodynamics; Crystallography; Chemistry","score_opus":0.017888842166816483,"score_gpt":0.25334768048142026,"score_spread":0.23545883831460376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884912236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957944,0.000043634656,0.00011088215,0.00018726056,0.0010040852,0.0008245288,0.00023789918,0.00009154595,0.0017057653],"genre_scores_gemma":[0.9982693,0.0000042227684,0.00073819066,0.00048107916,0.00019281449,0.0001312416,0.00003912877,0.000027399987,0.000116602045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99644935,0.00014762112,0.00075607543,0.0009067501,0.0007905309,0.0009496848],"domain_scores_gemma":[0.9987185,0.000046318302,0.00034997344,0.00055257324,0.000078358265,0.00025427688],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016205186,0.0003381064,0.00056086126,0.00019320268,0.00029270674,0.00019768991,0.0009866847,0.00014834428,0.0026043607],"category_scores_gemma":[0.000052048676,0.00029559678,0.00006824015,0.0006057535,0.0009806431,0.00024200663,0.0001839083,0.00007335017,0.00032346474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023913333,0.00014939705,0.000060861585,0.000038890328,0.0000063179523,0.000012295505,0.0005870405,0.00009987654,0.99624735,0.00033231959,0.002098483,0.00012803402],"study_design_scores_gemma":[0.0008679279,0.00024219349,0.000043247117,0.000039700015,0.000017522392,0.0000036310585,0.00024516264,0.00048311226,0.9894707,0.00014681742,0.008092282,0.00034770326],"about_ca_topic_score_codex":0.0026670808,"about_ca_topic_score_gemma":0.0008362872,"teacher_disagreement_score":0.0067766504,"about_ca_system_score_codex":0.00017571544,"about_ca_system_score_gemma":0.0005005474,"threshold_uncertainty_score":0.99994963},"labels":[],"label_agreement":null},{"id":"W2887432865","doi":"10.3390/app8081256","title":"Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"Flywheel; Automotive industry; Rotor (electric); Optimization problem; Computer science; Genetic algorithm; Automotive engineering; Engineering; Structural engineering; Mechanical engineering; Algorithm","score_opus":0.024590868748743236,"score_gpt":0.26131136371123426,"score_spread":0.23672049496249103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887432865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014681108,0.00003775979,0.982326,0.000008355524,0.00004339463,0.0001883272,0.0000010411368,0.00008138774,0.002632627],"genre_scores_gemma":[0.8563466,0.0000068402496,0.14344443,0.0000063256903,0.000020160867,0.00002268237,0.0000010204285,0.0000067512333,0.00014516876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947196,0.000010059045,0.00011199947,0.00011680626,0.00014691375,0.00014223669],"domain_scores_gemma":[0.9997509,0.00008027293,0.000014347708,0.000075810975,0.000028046248,0.00005063837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021494496,0.000067505556,0.00008777183,0.00009804299,0.00010930241,0.000030852672,0.00011090008,0.000037120528,0.00006370776],"category_scores_gemma":[0.000013361832,0.000058174744,0.000010240977,0.00033944126,0.00018473802,0.00008143572,0.000024173569,0.00004951999,0.000013546925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047569683,0.0000035201365,0.0000017134987,0.000009767936,0.0000070400843,6.001976e-8,0.00018227857,0.8729586,0.12289641,0.0023941568,0.000019596559,0.0015221162],"study_design_scores_gemma":[0.00009582926,0.000041268628,0.000014526535,0.0000053928097,0.0000018567473,4.1490884e-7,0.000025418709,0.71115935,0.28858858,0.00000878617,0.0000075984476,0.000050949264],"about_ca_topic_score_codex":0.000008658999,"about_ca_topic_score_gemma":4.2535046e-7,"teacher_disagreement_score":0.8416655,"about_ca_system_score_codex":0.000009058409,"about_ca_system_score_gemma":0.000014823629,"threshold_uncertainty_score":0.23722972},"labels":[],"label_agreement":null},{"id":"W2888630031","doi":"10.3390/app8091422","title":"Modeling of the Mechanical Behavior of 3D Bioplotted Scaffolds Considering the Penetration in Interlocked Strands","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Scaffold; Elastic modulus; Penetration (warfare); Modulus; Finite element method; Tissue engineering; Composite material; Biomedical engineering; Structural engineering; Engineering","score_opus":0.023665109741585724,"score_gpt":0.2389401261434936,"score_spread":0.21527501640190788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888630031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958572,0.00002455357,0.0031946714,0.000019803514,0.0002592431,0.00018581854,0.000001915838,0.000044966877,0.0004118374],"genre_scores_gemma":[0.9983299,0.0000021407884,0.0016038362,0.0000049996374,0.000028258211,0.000020378242,2.59334e-7,0.000008640543,0.0000016275558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927783,0.000013602751,0.00027946755,0.00010817852,0.00018115882,0.00013978886],"domain_scores_gemma":[0.99973255,0.000037340054,0.000032416847,0.0001653803,0.000018725494,0.000013580255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046746052,0.000080193764,0.00013343619,0.000058114976,0.000050207585,0.000019971414,0.00029602044,0.0000437883,0.000022447382],"category_scores_gemma":[0.0000130373965,0.000050998333,0.000019183968,0.00033039477,0.00021954953,0.00005407488,0.00004314945,0.000043919426,0.0000017697605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028450618,0.0000074315576,0.00008979677,0.000015271478,0.000003579966,9.808353e-8,0.0005598481,0.11985395,0.87702674,0.0020545854,0.0000028874174,0.00038297664],"study_design_scores_gemma":[0.00012351896,0.000023786859,0.00084744894,0.000036755897,0.000009482305,0.0000015858905,0.00021864996,0.39362463,0.6047845,0.0002566993,0.0000031485677,0.00006978719],"about_ca_topic_score_codex":0.000046664692,"about_ca_topic_score_gemma":0.00011049739,"teacher_disagreement_score":0.2737707,"about_ca_system_score_codex":0.000013090741,"about_ca_system_score_gemma":0.000017574837,"threshold_uncertainty_score":0.20796517},"labels":[],"label_agreement":null},{"id":"W2889565356","doi":"10.3390/app8091537","title":"Compressive Strength Characteristics of Cemented Tailings Backfill with Alkali-Activated Slag","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tailings Management and Properties","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"First Quantum Minerals (Canada)","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation","keywords":"Tailings; Cementitious; Compressive strength; Cement; Materials science; Portland cement; Cementation (geology); Metallurgy; Waste management; Composite material; Engineering","score_opus":0.014149897774294512,"score_gpt":0.2052832492139953,"score_spread":0.19113335143970078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889565356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95434016,0.000023910503,0.0007406771,0.00002339768,0.0001187365,0.00015543918,0.0000060072734,0.000147799,0.044443846],"genre_scores_gemma":[0.9983726,0.000013792525,0.0013709943,0.000033632452,0.000060842733,0.000011098007,0.0000074240206,0.000011600164,0.000118010736],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918085,0.0000061848527,0.00017801888,0.00017937674,0.00023058486,0.0002249819],"domain_scores_gemma":[0.99966294,0.000027966928,0.0000830602,0.00013216388,0.000057432462,0.0000364209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012048018,0.00013078106,0.00016413585,0.000087893764,0.00012796957,0.000050638053,0.00026719185,0.000029357823,0.00012752268],"category_scores_gemma":[0.0000067493224,0.00009486057,0.000014928274,0.00036794035,0.00052153645,0.00013028065,0.000047615496,0.00006230931,0.000027422931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013673583,0.00006764236,0.0025550167,0.00017232186,0.00015068504,0.0000024096892,0.0025654251,0.00080726575,0.96927625,0.0065245903,0.0015368301,0.016204817],"study_design_scores_gemma":[0.0005804186,0.00039712162,0.002598504,0.000100004,0.000041708696,9.937324e-7,0.0018563529,0.015905187,0.9628383,0.00021158798,0.015020843,0.0004489744],"about_ca_topic_score_codex":0.000019190924,"about_ca_topic_score_gemma":0.000009661715,"teacher_disagreement_score":0.044325836,"about_ca_system_score_codex":0.0000100227435,"about_ca_system_score_gemma":0.0000130859835,"threshold_uncertainty_score":0.38683018},"labels":[],"label_agreement":null},{"id":"W2889661682","doi":"10.3390/app8091651","title":"3D Printed Antibacterial Prostheses","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institutes of Health; Nebraska Space Grant Consortium; U.S. Department of Veterans Affairs; National Aeronautics and Space Administration","keywords":"3d printed; 3D printing; Prosthesis; Antibacterial activity; Biomedical engineering; Materials science; Medicine; Composite material; Surgery; Biology; Bacteria","score_opus":0.013381935971889431,"score_gpt":0.23620972508169308,"score_spread":0.22282778910980364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889661682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92787546,0.00001862307,0.004702433,0.00010178112,0.00064313423,0.00017621682,0.0000014102865,0.00023715352,0.06624379],"genre_scores_gemma":[0.9874017,0.000003838133,0.012377953,0.000035777994,0.00012722386,0.0000071488803,5.946105e-7,0.0000060492985,0.00003970324],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995047,0.000003822553,0.00009699622,0.00011835471,0.000120414676,0.00015574596],"domain_scores_gemma":[0.9998171,0.000025128431,0.000012741096,0.0000891081,0.000024409599,0.000031568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015905258,0.000061667415,0.000062464605,0.000042731343,0.00012821612,0.00006026991,0.00014967703,0.000027859329,0.00006486366],"category_scores_gemma":[0.000012633385,0.000046760964,0.000012416495,0.00020584058,0.00047353827,0.000044160646,0.000022651291,0.00003371896,0.00013344586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020364081,0.00008221461,0.0021912197,0.000073577314,0.000025547764,0.0000011356715,0.0031279798,0.0077011264,0.8365332,0.11118815,0.0020626246,0.03699285],"study_design_scores_gemma":[0.0011039678,0.0008762355,0.030642914,0.00008201001,0.000024912317,0.000014765258,0.0010987874,0.12554865,0.69557303,0.014118999,0.12959552,0.001320239],"about_ca_topic_score_codex":8.561383e-7,"about_ca_topic_score_gemma":0.000002378638,"teacher_disagreement_score":0.1409602,"about_ca_system_score_codex":0.0000076118904,"about_ca_system_score_gemma":0.000015217299,"threshold_uncertainty_score":0.19068567},"labels":[],"label_agreement":null},{"id":"W2889858171","doi":"10.3390/app8091504","title":"Nanomaterials-Based Electrochemical Sensors for In Vitro and In Vivo Analyses of Neurotransmitters","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; Biomolecule; Neuroscience; Computer science; Chemistry; Biochemical engineering; Materials science; Biology","score_opus":0.01789475532198685,"score_gpt":0.2619339446254729,"score_spread":0.2440391893034861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889858171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918526,0.000034717792,0.00014470358,0.000044415025,0.000023522489,0.00015239611,0.0000033492656,0.000028690429,0.00038293307],"genre_scores_gemma":[0.99749434,0.000007982746,0.002384777,0.00005846189,0.000029963378,0.000014585736,9.781259e-7,0.0000072787348,0.0000016388376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918675,0.0000086899,0.00021060783,0.00020501573,0.0000996463,0.00028931545],"domain_scores_gemma":[0.9997555,0.00011731337,0.000022746748,0.0000596124,0.000010702003,0.000034109187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014763455,0.00010401384,0.00019835481,0.00013209366,0.000026507365,0.00001542284,0.00010895346,0.000053834257,0.000007139972],"category_scores_gemma":[0.000015252161,0.0000871626,0.000024130595,0.0004090092,0.00028602473,0.000027501312,0.0000061769783,0.00004400583,4.5821872e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089062356,0.000011005751,0.00008904806,0.00002738899,0.0000022294093,3.4904443e-7,0.000037688744,0.0001357098,0.99946207,0.00003041861,0.000012169711,0.00010285918],"study_design_scores_gemma":[0.00028733158,0.00005161336,0.00014939491,0.0000076911665,0.0000039832507,8.6089597e-7,0.000018350229,0.010286523,0.9888911,0.00016716094,0.000031956963,0.00010401103],"about_ca_topic_score_codex":0.000012006563,"about_ca_topic_score_gemma":0.00001462204,"teacher_disagreement_score":0.010570948,"about_ca_system_score_codex":0.000014307458,"about_ca_system_score_gemma":0.00001091763,"threshold_uncertainty_score":0.3554388},"labels":[],"label_agreement":null},{"id":"W2890524073","doi":"10.3390/app8122692","title":"Advantages and Limitations to the Use of Optical Measurements to Study Sediment Properties","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research","keywords":"Settling; Materials science; Particle (ecology); Porosity; Environmental science; Mineralogy; Geology; Composite material; Environmental engineering; Oceanography","score_opus":0.1608314698540244,"score_gpt":0.25980208748627803,"score_spread":0.09897061763225362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890524073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886357,0.000019801058,0.00009453892,0.00062812277,0.000097325144,0.0005683177,0.0000039404504,0.000009490586,0.009942763],"genre_scores_gemma":[0.997944,0.0000017843723,0.0015420797,0.00038300024,0.000041272295,0.000010006785,5.313149e-7,8.646083e-7,0.000076460645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910975,0.00002809132,0.00013663761,0.00019647548,0.00037711102,0.00015196808],"domain_scores_gemma":[0.9996435,0.00009105365,0.000025914915,0.00011117579,0.000042822525,0.0000855386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102314,0.00006326809,0.00008244554,0.000050568364,0.0003109668,0.00010695322,0.00020055947,0.00000878582,0.00005670903],"category_scores_gemma":[0.00006792321,0.000033452085,0.00000822268,0.0003091425,0.00015486883,0.00010164489,0.000049950493,0.000023520082,0.00008387225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012143691,0.00016537057,0.5634211,0.000015822443,0.000046682282,0.0000010773332,0.011601207,0.003406126,0.0035529537,0.0005896826,0.0014331889,0.41564536],"study_design_scores_gemma":[0.00031386572,0.003667804,0.9398015,0.00002690976,0.000038110575,0.0000042032566,0.017882846,0.0023959496,0.008409902,0.00014625356,0.026997682,0.00031493907],"about_ca_topic_score_codex":0.00072390813,"about_ca_topic_score_gemma":0.011838625,"teacher_disagreement_score":0.4153304,"about_ca_system_score_codex":0.0000011170337,"about_ca_system_score_gemma":0.000024265117,"threshold_uncertainty_score":0.6606231},"labels":[],"label_agreement":null},{"id":"W2890853369","doi":"10.3390/app8091570","title":"A Novel Dictionary-Based Image Reconstruction for Photoacoustic Computed Tomography","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Artificial intelligence; Computer science; Discrete cosine transform; Computer vision; Iterative reconstruction; Image quality; Projection (relational algebra); Radon transform; Image (mathematics); Algorithm","score_opus":0.0120898574498664,"score_gpt":0.22169659097095723,"score_spread":0.20960673352109083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890853369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07068677,0.000020693638,0.91896164,0.000028022454,0.00077227666,0.00028365743,0.000036263245,0.00039222842,0.008818447],"genre_scores_gemma":[0.8481102,8.344572e-7,0.15154123,0.00011270742,0.00017045772,0.000041846983,0.000005515796,0.000011491509,0.0000057208963],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991517,0.000002861936,0.00015176887,0.000241122,0.00015475541,0.00029777532],"domain_scores_gemma":[0.9996245,0.0001313628,0.00003095931,0.000105131374,0.000051708987,0.000056345354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022247928,0.00012217925,0.0001125361,0.00016241141,0.00035318252,0.00007086173,0.0001733825,0.000039095758,0.00004148824],"category_scores_gemma":[0.000011032738,0.00011513363,0.000046952526,0.0005283909,0.00059148413,0.00011363264,0.000009007416,0.00006559219,0.000011999571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013125203,0.000027293048,0.000072469775,0.00004171819,0.000018101182,2.4231298e-7,0.00013164624,0.008163954,0.9826558,0.000791542,0.0009312631,0.007152846],"study_design_scores_gemma":[0.0004722295,0.00004991761,0.000461641,0.000023781404,0.000021607748,0.000017320435,0.00024571182,0.905239,0.092048466,0.00078050577,0.00043988242,0.0001999457],"about_ca_topic_score_codex":0.0000072805256,"about_ca_topic_score_gemma":0.000003827377,"teacher_disagreement_score":0.89707506,"about_ca_system_score_codex":0.000029034321,"about_ca_system_score_gemma":0.00004761891,"threshold_uncertainty_score":0.46950132},"labels":[],"label_agreement":null},{"id":"W2890857964","doi":"10.3390/app8091513","title":"Deep Learning Based Lithology Classification Using Dual-Frequency Pol-SAR Data","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Autoencoder; Lithology; Pattern recognition (psychology); Artificial intelligence; Contextual image classification; Computer science; Synthetic aperture radar; Geology; Remote sensing; Deep learning; Image (mathematics)","score_opus":0.09799765578213859,"score_gpt":0.3064521448788918,"score_spread":0.20845448909675318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890857964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065459214,0.00008134218,0.83582735,0.0042697676,0.0003672162,0.00015460576,0.0000011376378,0.00028290928,0.09355648],"genre_scores_gemma":[0.8729397,0.0000023369194,0.12650909,0.00032014117,0.00013720046,0.0000019732095,0.000007804689,0.00000163482,0.00008010316],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819493,0.00007002912,0.00021194787,0.000831578,0.0002904411,0.0004010976],"domain_scores_gemma":[0.99868464,0.00013182708,0.0001641237,0.0008583045,0.00009075714,0.00007035477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013658147,0.00012487442,0.0001248757,0.000088206594,0.00083562406,0.00019040644,0.0020376325,0.000083824656,0.000065811706],"category_scores_gemma":[0.00022336788,0.00010939716,0.000017750532,0.0008597046,0.0007960994,0.00040574692,0.0005444516,0.00015040181,0.00008553579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011007743,0.00015397539,0.014623798,0.0000508941,0.000020455715,0.00002549468,0.002032327,0.009075487,0.5809563,0.3355863,0.0006187663,0.05684522],"study_design_scores_gemma":[0.00011596941,0.000059007674,0.0021078698,0.000008588409,0.000005062274,0.000023898116,0.0002384243,0.9708496,0.007421003,0.011232358,0.0077302693,0.0002079847],"about_ca_topic_score_codex":0.000034136938,"about_ca_topic_score_gemma":0.000008765899,"teacher_disagreement_score":0.96177405,"about_ca_system_score_codex":0.000019575096,"about_ca_system_score_gemma":0.00014691643,"threshold_uncertainty_score":0.6427029},"labels":[],"label_agreement":null},{"id":"W2891466823","doi":"10.3390/app8091530","title":"Assessment of Turbulence Modelling in the Wake of an Actuator Disk with a Decaying Turbulence Inflow","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"National Supercomputer Centre, Linköpings Universitet; Natural Sciences and Engineering Research Council of Canada; Université d'Orléans; Consejo Nacional de Ciencia y Tecnología; Energimyndigheten; National Science Council; Compute Canada","keywords":"Wake; Turbulence; Turbulence kinetic energy; K-epsilon turbulence model; Mechanics; Physics; K-omega turbulence model; Inflow; Turbulence modeling; Meteorology; Wind tunnel","score_opus":0.02047731515212283,"score_gpt":0.2662319194264158,"score_spread":0.24575460427429294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891466823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748932,0.00002341381,0.01609622,0.000017701932,0.000023966231,0.00011053952,0.0000012286109,0.0000185601,0.008815183],"genre_scores_gemma":[0.9586716,0.000017484981,0.041237682,0.000019855956,0.00002122433,0.000024594927,6.9508826e-7,0.000004671902,0.000002142911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884856,0.000015785834,0.00018305854,0.00016976464,0.00052268454,0.00026017535],"domain_scores_gemma":[0.99962306,0.000085856154,0.000035588906,0.000174637,0.00003244682,0.00004841927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072445563,0.00008905909,0.00012094478,0.000098405275,0.000089003566,0.000034299635,0.00048620199,0.000024630806,0.000009843321],"category_scores_gemma":[0.000006215289,0.00005241991,0.000011650226,0.00058845105,0.00038171085,0.00015985967,0.00003248943,0.000092636685,0.0000011752521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017495346,0.00007041298,0.0024541195,0.00005398595,0.000014228273,0.0000027324563,0.004655806,0.9655994,0.012196309,0.006038457,0.000012340036,0.00888469],"study_design_scores_gemma":[0.0003297566,0.0002853634,0.024278155,0.00011982461,0.0000049403,0.0000042557303,0.0020565733,0.92908937,0.042233206,0.0012850395,0.000088043525,0.00022549344],"about_ca_topic_score_codex":0.000050478993,"about_ca_topic_score_gemma":0.000070827235,"teacher_disagreement_score":0.036510076,"about_ca_system_score_codex":0.000019247023,"about_ca_system_score_gemma":0.00011432467,"threshold_uncertainty_score":0.2137622},"labels":[],"label_agreement":null},{"id":"W2891645157","doi":"10.3390/app8091525","title":"Improved Dynamic Voltage Regulation in a Droop Controlled DC Nanogrid Employing Independently Controlled Battery and Supercapacitor Units","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Jordan","keywords":"Voltage droop; Voltage; Supercapacitor; Battery (electricity); Energy storage; Power (physics); Computer science; Electrical engineering; Electronic engineering; Engineering; Control theory (sociology); Voltage regulator; Control (management); Capacitance; Physics","score_opus":0.008234683404021437,"score_gpt":0.20496170014949552,"score_spread":0.19672701674547408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891645157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98155975,0.0004404417,0.014265141,0.000058756126,0.00044707564,0.0010866664,0.0000054287907,0.000189925,0.001946813],"genre_scores_gemma":[0.9989534,0.00006097302,0.0005425248,0.00009201439,0.00012786745,0.00014007997,0.0000071369045,0.000018943163,0.00005708639],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859434,0.000034384695,0.00042083138,0.00033896862,0.00022485835,0.00038661298],"domain_scores_gemma":[0.99948394,0.00015318964,0.00007260137,0.00014434507,0.00007442936,0.00007147362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073731196,0.00021335122,0.00045696786,0.00030253746,0.00023779359,0.00019456558,0.00019582824,0.00011394298,0.000046100602],"category_scores_gemma":[0.00006237962,0.00017865229,0.000036329013,0.00061046745,0.00026920755,0.00031020842,0.00003539286,0.00013080965,0.000011392578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077632663,0.000038030834,0.0019769461,0.00004045488,0.00007758938,0.0000024814083,0.0016922395,0.013223321,0.9705079,0.00068234856,0.0000784465,0.010903908],"study_design_scores_gemma":[0.014621408,0.00009583704,0.0031338155,0.000032879856,0.000029996147,0.0000044219205,0.0004750695,0.9767115,0.0041529583,0.00035805418,0.00007193665,0.0003121184],"about_ca_topic_score_codex":0.000025802545,"about_ca_topic_score_gemma":0.00038456309,"teacher_disagreement_score":0.96635497,"about_ca_system_score_codex":0.00005509616,"about_ca_system_score_gemma":0.000045593402,"threshold_uncertainty_score":0.7285229},"labels":[],"label_agreement":null},{"id":"W2892117096","doi":"10.3390/app8091579","title":"Comparative Study with 89Y-foil and 89Y-pressed Targets for the Production of 89Zr †","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"FOIL method; Oxalate; Impurity; Chemistry; Nuclear chemistry; Materials science; Analytical Chemistry (journal); Radiochemistry; Chromatography; Inorganic chemistry","score_opus":0.08030583955410187,"score_gpt":0.3844957894069219,"score_spread":0.30418994985282005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892117096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910028,0.00009152924,0.00048126144,0.0014082773,0.000029142786,0.0010677354,0.0000019566648,0.000014933699,0.005902359],"genre_scores_gemma":[0.99837387,0.000003934802,0.0009886106,0.000062297775,0.00013774454,0.00019511319,8.295814e-7,0.0000022178021,0.00023538368],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994248,0.0000056609824,0.00009538621,0.00021632087,0.00015813019,0.00009966761],"domain_scores_gemma":[0.9995673,0.00013414572,0.000051774463,0.00013358303,0.0000733812,0.000039870643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027374935,0.00005988447,0.00012070487,0.000012916612,0.0003073802,0.000012114692,0.000097785465,0.000013185965,0.000012893171],"category_scores_gemma":[0.000025138468,0.000031091637,0.000009513906,0.00022609004,0.0009824213,0.000030398653,0.00001634219,0.000047000747,0.0000017552859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076973037,0.0007223844,0.0036876143,0.00008475431,0.0001254319,2.9609703e-7,0.005218436,0.000047959016,0.9789405,0.004491135,0.0032750824,0.0026366955],"study_design_scores_gemma":[0.0008517644,0.0008810254,0.014587851,0.000017526812,0.00016170728,0.000008349917,0.007544439,0.0011807098,0.9713816,0.0007767341,0.002513564,0.00009474166],"about_ca_topic_score_codex":0.000002785987,"about_ca_topic_score_gemma":0.000002777601,"teacher_disagreement_score":0.010900237,"about_ca_system_score_codex":0.0000043367513,"about_ca_system_score_gemma":0.00003582582,"threshold_uncertainty_score":0.36197722},"labels":[],"label_agreement":null},{"id":"W2893333239","doi":"10.3390/app8101721","title":"Theoretical and Numerical Analyses of Earth Pressure Coefficient along the Centerline of Vertical Openings with Granular Fills","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Degree Rankine; Lateral earth pressure; Geotechnical engineering; Overburden pressure; Geology; Mechanics; Granular material; Pressure coefficient; Physics; Thermodynamics","score_opus":0.00927485134880755,"score_gpt":0.23464614309201992,"score_spread":0.22537129174321238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893333239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88080305,0.00016287946,0.117061496,0.000058625657,0.00002883735,0.00012725781,0.0000029511805,0.000051722996,0.0017032088],"genre_scores_gemma":[0.9991362,0.0000060816747,0.0008243351,0.000010378457,0.000011935759,0.000004176298,7.3174994e-7,0.000005010098,0.0000011555177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934536,0.000011136787,0.0001520377,0.00012458603,0.00023125006,0.00013562666],"domain_scores_gemma":[0.9996947,0.00010468175,0.000015021139,0.000113859736,0.000032179105,0.000039526134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002352649,0.00007342488,0.00013947368,0.000030192123,0.000059390746,0.000015832138,0.00015558579,0.00003157255,0.0000319146],"category_scores_gemma":[0.000031060794,0.000040471466,0.00001655544,0.00033697102,0.0012822933,0.00002614752,0.000033540022,0.00006207025,7.8023095e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047729172,0.000054136057,0.0013174174,0.00009780758,0.0000484102,6.4647224e-7,0.00072847423,0.7757589,0.06869857,0.15107979,0.000028394881,0.0021396864],"study_design_scores_gemma":[0.00018868728,0.00023415516,0.003950519,0.000030414352,0.000041247356,0.0000032250466,0.00010948156,0.8898942,0.1049232,0.0003130693,0.00021321823,0.000098621356],"about_ca_topic_score_codex":0.000011583193,"about_ca_topic_score_gemma":0.0000023324578,"teacher_disagreement_score":0.15076673,"about_ca_system_score_codex":0.0000013441427,"about_ca_system_score_gemma":0.000008244561,"threshold_uncertainty_score":0.47246632},"labels":[],"label_agreement":null},{"id":"W2894702751","doi":"10.3390/app8101820","title":"Recent Progress in Fast Distributed Brillouin Optical Fiber Sensing","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Key Scientific Instrument and Equipment Development Projects of China; Natural Science Foundation of Heilongjiang Province; China Scholarship Council; National Natural Science Foundation of China","keywords":"Distributed acoustic sensing; Optical fiber; Brillouin scattering; Brillouin zone; Computer science; Chirp; Fiber optic sensor; Materials science; Optics; Electronic engineering; Telecommunications; Engineering; Physics; Laser","score_opus":0.015427440945017754,"score_gpt":0.25434222167429843,"score_spread":0.23891478072928068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894702751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499905,0.00019136765,0.0049405517,0.00022960357,0.00032735523,0.0002576053,0.000005620738,0.0003457921,0.04371158],"genre_scores_gemma":[0.96702516,0.000015246118,0.032765176,0.00003206017,0.000109395456,0.000005444718,0.000003875369,0.000015114711,0.0000285509],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998829,0.000007238007,0.00019520831,0.0002806905,0.0002458218,0.0004420519],"domain_scores_gemma":[0.9996565,0.00006295333,0.000020543337,0.00015350746,0.000028593551,0.000077900135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038205,0.00013251738,0.0001441302,0.00007874906,0.00009911661,0.000056628258,0.0001678693,0.000060155082,0.000063626496],"category_scores_gemma":[0.000021933565,0.000120670324,0.00001526584,0.000780849,0.00074640557,0.00009054099,0.00004458618,0.00011760585,0.00024463888],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026330254,0.000045964152,0.0013867375,0.000023676268,0.000019105668,0.000029871748,0.0012750643,0.026549472,0.008848545,0.004772978,0.0011227308,0.95589954],"study_design_scores_gemma":[0.002538499,0.00036904824,0.033418655,0.0002690056,0.00004318734,0.00015345111,0.0036915499,0.4982529,0.25555453,0.006076744,0.19665341,0.0029790315],"about_ca_topic_score_codex":0.0000010106801,"about_ca_topic_score_gemma":0.00001754914,"teacher_disagreement_score":0.9529205,"about_ca_system_score_codex":0.000070020295,"about_ca_system_score_gemma":0.000017711129,"threshold_uncertainty_score":0.49207932},"labels":[],"label_agreement":null},{"id":"W2894854504","doi":"10.3390/app8122512","title":"Transfer Incremental Learning Using Data Augmentation","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Flexibility (engineering); Transfer of learning; Feature selection; Incremental learning; Feature (linguistics); Deep learning; Class (philosophy); Selection (genetic algorithm); Mathematics","score_opus":0.13353945574292947,"score_gpt":0.33802085163833645,"score_spread":0.20448139589540698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894854504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16079322,0.000017229584,0.81696266,0.00018318629,0.00022933279,0.0001055201,8.892288e-7,0.00013916794,0.021568788],"genre_scores_gemma":[0.90917844,0.0000022223055,0.09016554,0.00048782467,0.00009358916,0.0000025191976,0.0000070065994,0.000003980845,0.00005888785],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857324,0.000053215976,0.00016629446,0.0005017859,0.0004511094,0.00025436818],"domain_scores_gemma":[0.99951625,0.000056503308,0.00004456128,0.00029366894,0.000027312308,0.00006167657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010704754,0.000089656445,0.00007912661,0.000107650085,0.0008565599,0.00036167554,0.0013220832,0.000025781303,0.0000958381],"category_scores_gemma":[0.000020458188,0.00008200829,0.000013802482,0.0006756247,0.00032910693,0.0012950792,0.00028321607,0.000098029945,0.00012891438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018655002,0.00006583825,0.0017042429,0.000009487805,0.000022272034,0.0000036801162,0.0075986893,0.004275138,0.45757136,0.3611292,0.00034230435,0.16725916],"study_design_scores_gemma":[0.0005658333,0.00014851437,0.000836983,0.000014068003,0.000008960274,0.000011907049,0.0028137045,0.9602913,0.0196289,0.0015261229,0.013825709,0.0003279896],"about_ca_topic_score_codex":0.00003389114,"about_ca_topic_score_gemma":0.000011351429,"teacher_disagreement_score":0.9560162,"about_ca_system_score_codex":0.000025006417,"about_ca_system_score_gemma":0.00008619063,"threshold_uncertainty_score":0.65880525},"labels":[],"label_agreement":null},{"id":"W2894953069","doi":"10.3390/app8101802","title":"A Source Pollution Control Measure Based on Spatial-Temporal Distribution Characteristic of the Runoff Pollutants at Urban Pavement Sites","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Yangzhou University; University of Waterloo; National Natural Science Foundation of China","keywords":"Surface runoff; Environmental science; Pollutant; Pollution; Infiltration (HVAC); Hydrology (agriculture); Environmental engineering; Geotechnical engineering; Geology; Geography; Meteorology; Ecology","score_opus":0.01191490961509387,"score_gpt":0.1986521282600897,"score_spread":0.18673721864499584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894953069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96673316,0.000008549557,0.026039572,0.0011215145,0.00025097924,0.0007869138,0.00017690111,0.00006211106,0.0048202933],"genre_scores_gemma":[0.99894667,3.549639e-7,0.00007459176,0.00057604496,0.000070094386,0.000032701762,0.000013524713,0.00000711504,0.00027891243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799645,0.0000791487,0.00026028455,0.00041282232,0.0008831456,0.0003681691],"domain_scores_gemma":[0.99928117,0.00003596541,0.00024208911,0.00035775398,0.000012277452,0.000070719376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006593756,0.00016474427,0.00014771428,0.00004086628,0.00090655533,0.00004066248,0.00050667283,0.00004642506,0.0006143541],"category_scores_gemma":[0.00003684262,0.00011221355,0.00006738992,0.000527136,0.0015425829,0.000097438475,0.00019570164,0.00006603958,0.00028300367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002607027,0.00046975556,0.7006012,0.000016910106,0.00003659629,8.2395815e-7,0.000819142,0.003103492,0.27818596,0.0016312366,0.009258457,0.005615701],"study_design_scores_gemma":[0.0007545173,0.00033924705,0.94552433,0.00002717028,0.000054288164,5.1809724e-7,0.00007674296,0.025870094,0.01882413,0.00018527516,0.008076233,0.0002674508],"about_ca_topic_score_codex":0.0003564588,"about_ca_topic_score_gemma":0.00051514304,"teacher_disagreement_score":0.25936183,"about_ca_system_score_codex":0.00033876215,"about_ca_system_score_gemma":0.00002375561,"threshold_uncertainty_score":0.69725823},"labels":[],"label_agreement":null},{"id":"W2896423893","doi":"10.3390/app8101878","title":"On the Effect of Filling Rate on Positive Macrosegregation Patterns in Large Size Cast Steel Ingots","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de Sorel-Tracy; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ingot; Materials science; Metallurgy; Microstructure; Grain size; Liquid metal","score_opus":0.014248600306559753,"score_gpt":0.263890524225738,"score_spread":0.24964192391917825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896423893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861006,0.0000027896474,0.000113669324,0.00016191609,0.00014200312,0.00030976234,0.000020793092,0.000017624443,0.013130856],"genre_scores_gemma":[0.99938494,8.268872e-7,0.000029973791,0.0004417812,0.00004373179,0.0000370495,0.0000012727344,0.0000044866524,0.000055967477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989007,0.00014267878,0.00017595079,0.00027787132,0.00027381527,0.00022898494],"domain_scores_gemma":[0.9987103,0.00094681984,0.0001277641,0.00016046013,0.00002574012,0.00002893075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017622062,0.0000977443,0.000119292214,0.000054200453,0.0002831091,0.0000727022,0.00029459607,0.000028319157,0.00027570323],"category_scores_gemma":[0.00014342518,0.000057997124,0.000019111609,0.00033115948,0.00031223128,0.00005747893,0.00004177288,0.00006235754,0.0001520663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013887262,0.000046146928,0.0018938327,0.000014115787,0.000002014641,6.657942e-7,0.0025628346,0.00010040738,0.9614814,0.03322814,0.000059112415,0.00047247173],"study_design_scores_gemma":[0.00036555695,0.0004844616,0.035896156,0.000056242705,0.0000026087039,3.7326265e-7,0.0006756474,0.000413672,0.9607515,0.0012344462,0.000022623917,0.00009671242],"about_ca_topic_score_codex":0.00002219134,"about_ca_topic_score_gemma":0.00003545963,"teacher_disagreement_score":0.034002326,"about_ca_system_score_codex":0.000026677768,"about_ca_system_score_gemma":0.00001781411,"threshold_uncertainty_score":0.3018757},"labels":[],"label_agreement":null},{"id":"W2897626350","doi":"10.3390/app8102004","title":"Condition Monitoring of Wind Turbine Blades Using Active and Passive Thermography","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Thermography; Turbine blade; Thermal; Visibility; Acoustics; Turbine; Materials science; Nondestructive testing; Remote sensing; Marine engineering; Engineering; Mechanical engineering; Geology; Optics; Meteorology; Infrared","score_opus":0.015427213815676463,"score_gpt":0.25168601131970003,"score_spread":0.23625879750402357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897626350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454415,0.00007142823,0.002056146,0.0000025321895,0.00009477479,0.00010556955,0.000025216426,0.00011012993,0.0029900714],"genre_scores_gemma":[0.99807566,0.00002082403,0.0018026534,0.0000044502244,0.000083818515,0.000005060059,5.0874905e-7,0.000006367983,6.4873774e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953485,0.0000059517124,0.00009341943,0.00012388517,0.000111095374,0.00013080488],"domain_scores_gemma":[0.99980724,0.000045773882,0.000037752125,0.00005867983,0.000021938857,0.000028587912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066882574,0.000083704734,0.00009692174,0.0001366904,0.00012465662,0.00001820304,0.00008927447,0.00004319405,0.0000135033015],"category_scores_gemma":[0.0000025481086,0.00007131902,0.00002119036,0.00037881153,0.000673153,0.00009433676,0.0000146011025,0.00005400428,2.0673266e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006637355,0.0000063086122,0.0012336927,0.000015571435,0.000022054617,2.6764656e-7,0.0009229624,0.000117974305,0.9884619,0.0009249246,0.000007064924,0.008280642],"study_design_scores_gemma":[0.00007050866,0.0000599486,0.015837196,0.000035751076,0.000016015192,0.0000019075283,0.00092605164,0.00075129914,0.97841036,0.003762003,0.000023146333,0.000105780266],"about_ca_topic_score_codex":0.000012672136,"about_ca_topic_score_gemma":8.066526e-7,"teacher_disagreement_score":0.014603504,"about_ca_system_score_codex":0.0000055925966,"about_ca_system_score_gemma":0.000006519526,"threshold_uncertainty_score":0.29083052},"labels":[],"label_agreement":null},{"id":"W2897736766","doi":"10.3390/app8101858","title":"Unidirectional Slow Light Transmission in Heterostructure Photonic Crystal Waveguide","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Photonic crystal; Slow light; Scattering; Optics; Materials science; Square lattice; Light scattering; Waveguide; Heterojunction; Photonics; Optoelectronics; Bandwidth (computing); Physics; Condensed matter physics; Telecommunications","score_opus":0.00991294921451975,"score_gpt":0.25383420317355204,"score_spread":0.2439212539590323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897736766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7916536,0.00002663864,0.0022901364,0.000367138,0.000087148925,0.00022334575,0.000014890609,0.000032909644,0.20530425],"genre_scores_gemma":[0.99813884,0.0000014878523,0.0013335998,0.00007082564,0.00017182794,0.000055121534,0.000008535161,0.0000063508674,0.00021341584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990001,0.000010581209,0.00017995013,0.0003429648,0.00019589078,0.0002705178],"domain_scores_gemma":[0.9996936,0.000025261572,0.000052784715,0.000137185,0.000021101223,0.00007008332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017522911,0.00011683829,0.0001153363,0.000066814995,0.00037741492,0.000063453255,0.00024439095,0.000032111544,0.00090181973],"category_scores_gemma":[7.537784e-7,0.000093899725,0.00004456713,0.00047771673,0.00027012234,0.00008580334,0.000032571057,0.00010302051,0.000030248737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001314156,0.00009272357,0.0010537979,0.0000036270624,0.000009702367,2.9164545e-7,0.0006398023,0.00007367258,0.915147,0.06967554,0.001000973,0.012289702],"study_design_scores_gemma":[0.0007500611,0.000093801624,0.003568627,0.000031118554,0.000012126229,0.000003901617,0.0009367464,0.0042967387,0.7781957,0.062811345,0.14884302,0.000456806],"about_ca_topic_score_codex":0.00009360989,"about_ca_topic_score_gemma":0.000024347346,"teacher_disagreement_score":0.20648529,"about_ca_system_score_codex":0.000021174994,"about_ca_system_score_gemma":0.000101566104,"threshold_uncertainty_score":0.9874294},"labels":[],"label_agreement":null},{"id":"W2898244413","doi":"10.3390/app8112022","title":"Optimal Power Reserve of a Wind Turbine System Participating in Primary Frequency Control","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pitch angle; Control theory (sociology); Turbine; Pitch control; Computer science; Permanent magnet synchronous generator; AC power; Wind power; Power (physics); MATLAB; Stator; Rotor (electric); Electric power system; Engineering; Control (management); Electrical engineering; Magnet; Physics; Voltage; Mechanical engineering","score_opus":0.01199083825374696,"score_gpt":0.2191481357455299,"score_spread":0.20715729749178294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898244413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91822505,0.00019230497,0.0005368617,0.000031369556,0.00028605494,0.00036093223,0.0000076138263,0.00011000958,0.0802498],"genre_scores_gemma":[0.99837357,2.7029648e-7,0.0013170791,0.00002313628,0.0001553922,0.0001028422,7.995784e-7,0.000015539083,0.000011389518],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981693,0.000049272923,0.0006280189,0.00028528174,0.0004251913,0.00044290788],"domain_scores_gemma":[0.99932694,0.00014907226,0.000121105535,0.00027387287,0.00005844515,0.0000705505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014829612,0.00016158847,0.0004110628,0.00016387792,0.000079957594,0.00004473537,0.0004210747,0.00007395839,0.00004855523],"category_scores_gemma":[0.00005224584,0.0001330505,0.00004449987,0.00061010435,0.00028430473,0.00015955747,0.000035853023,0.00011824628,0.00004528171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014342956,0.00014998153,0.15210049,0.0008568287,0.00018123112,0.000045167806,0.007091039,0.19777915,0.6017165,0.037385404,0.0013663104,0.0011844537],"study_design_scores_gemma":[0.008785838,0.001192632,0.28353575,0.0010157878,0.000087441316,0.00004437322,0.0038605477,0.66095173,0.037793513,0.0005356359,0.0005085407,0.0016882186],"about_ca_topic_score_codex":0.00009128883,"about_ca_topic_score_gemma":0.000047311176,"teacher_disagreement_score":0.563923,"about_ca_system_score_codex":0.00009299682,"about_ca_system_score_gemma":0.00005548442,"threshold_uncertainty_score":0.5425642},"labels":[],"label_agreement":null},{"id":"W2898515791","doi":"10.3390/app8112013","title":"Detection of Thermal Strain in Steel Rails with BOTDA","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council; National Research Council Canada; Northern Ireland Community Relations Council","keywords":"Materials science; Composite material; Strain gauge; Strain (injury); Thermal; Structural engineering; Engineering","score_opus":0.011586930481997992,"score_gpt":0.21919552656179256,"score_spread":0.20760859607979457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898515791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709197,0.000012071747,0.004616015,0.000007165764,0.000053323405,0.00009036894,9.939063e-7,0.000053193682,0.024247123],"genre_scores_gemma":[0.9944765,0.0000010232194,0.0054546795,0.00001192321,0.000029524452,0.0000070917595,1.2742666e-7,0.0000064109427,0.000012695886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994863,0.0000037327757,0.00009736652,0.00011695828,0.00013731948,0.0001583162],"domain_scores_gemma":[0.9998366,0.000032011132,0.000020715106,0.000081045095,0.000010130769,0.000019472414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014079793,0.00006227126,0.00007721259,0.00006897022,0.000034635454,0.000008750841,0.00010919285,0.000025282397,0.000017058885],"category_scores_gemma":[0.0000043397076,0.000048974052,0.000006716876,0.00038385997,0.00033345676,0.0000825019,0.000007925026,0.000051416497,0.0000110174215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008176737,0.0000047814265,0.00015162797,0.0000055563028,0.0000027973692,4.7943183e-7,0.00065642624,0.027054809,0.9562607,0.0007678483,0.0000019064402,0.015084929],"study_design_scores_gemma":[0.00041527962,0.00018961405,0.016881717,0.000020427153,0.0000039255006,0.000003875892,0.0019873595,0.018802674,0.9605783,0.00067377184,0.00023396965,0.0002090484],"about_ca_topic_score_codex":0.000006384115,"about_ca_topic_score_gemma":0.00010063709,"teacher_disagreement_score":0.024234427,"about_ca_system_score_codex":0.000014948058,"about_ca_system_score_gemma":0.000009817131,"threshold_uncertainty_score":0.1997104},"labels":[],"label_agreement":null},{"id":"W2901021898","doi":"10.3390/app8122348","title":"Passive Detection of Low-Altitude Signal Sources Using an Improved Cross-Correlation Algorithm","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"SIGNAL (programming language); Cross-correlation; Computer science; Algorithm; Correlation; Frequency domain; Detection theory; Energy (signal processing); Detector; Statistics; Telecommunications; Mathematics; Computer vision; Geometry","score_opus":0.01987777802380812,"score_gpt":0.30425087099021053,"score_spread":0.2843730929664024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901021898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8888599,0.00001860981,0.11007479,0.0000014779282,0.0004393173,0.00015320664,0.0000019118734,0.00028251618,0.00016826231],"genre_scores_gemma":[0.9622448,0.0000020719722,0.03734991,0.0000060906254,0.00037217065,0.0000120161385,7.0176105e-7,0.000010625128,0.0000016206133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991481,0.000009863108,0.0002122931,0.00019830756,0.0002025192,0.00022895745],"domain_scores_gemma":[0.9996454,0.000034779085,0.00008372189,0.000114058144,0.00006791026,0.00005409597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021778856,0.00010438017,0.00010868503,0.00011220533,0.0002897414,0.000055521836,0.00019361296,0.000082975734,0.000010494691],"category_scores_gemma":[0.000007570131,0.00009469085,0.000018669672,0.00033636962,0.00040514662,0.0002727989,0.000025093866,0.00009299061,0.0000028764694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008748396,0.000008812362,0.0007456435,0.000041302206,0.0000060329376,2.0953551e-7,0.0007548144,0.008564222,0.72537,0.00010475742,0.000001687854,0.26439378],"study_design_scores_gemma":[0.00005705705,0.000094846924,0.008686952,0.000012367818,0.0000029373145,0.0000018098674,0.00007709944,0.41240916,0.5775729,0.0009892903,0.000006714072,0.00008887503],"about_ca_topic_score_codex":0.0001287782,"about_ca_topic_score_gemma":0.000015855394,"teacher_disagreement_score":0.40384495,"about_ca_system_score_codex":0.000067760215,"about_ca_system_score_gemma":0.000027978576,"threshold_uncertainty_score":0.38613808},"labels":[],"label_agreement":null},{"id":"W2901607632","doi":"10.3390/app8112311","title":"Ethylene- and Propylene-Glycol Based Nanofluids: A Litterature Review on Their Thermophysical Properties and Thermal Performances","year":2018,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Nanofluid; Ethylene glycol; Materials science; Thermodynamics; Heat exchanger; Boiling point; Polyvinyl alcohol; Heat transfer; Process engineering; Chemical engineering; Composite material; Engineering; Physics","score_opus":0.05218935785951867,"score_gpt":0.2536703009460622,"score_spread":0.20148094308654352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901607632","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017746938,0.993516,0.000014262389,0.00007348804,0.00015527825,0.0014830559,0.000019953719,0.00015830294,0.002804915],"genre_scores_gemma":[0.005375775,0.9932186,0.000093007824,0.00035137372,0.0003110486,0.0005549918,0.0000071730337,0.00005242756,0.000035578552],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812216,0.00008108161,0.0004035425,0.0006149125,0.00033776613,0.00044051546],"domain_scores_gemma":[0.99942636,0.00010202059,0.000039112787,0.00029150775,0.000027912856,0.00011306201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005544742,0.00061780825,0.0011680024,0.00013215833,0.00032804147,0.00018659262,0.00041468805,0.0002538996,0.00003043994],"category_scores_gemma":[0.0000056463246,0.00032599483,0.00014826142,0.00041884684,0.000690217,0.00013863576,0.000043291424,0.00040892552,0.00004386578],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009523979,0.00003655655,0.0000012398289,0.07016067,0.00008118751,0.0000025477,0.0002901445,0.0000044593694,0.0019190768,0.00055572815,0.0010360231,0.92590284],"study_design_scores_gemma":[0.00020497228,0.0003394372,0.000007977704,0.056599744,0.0002801986,0.000014167389,0.000025518239,0.00042207027,0.0020585663,0.000029686078,0.93907994,0.0009377411],"about_ca_topic_score_codex":0.0000012730771,"about_ca_topic_score_gemma":0.000001281605,"teacher_disagreement_score":0.9380439,"about_ca_system_score_codex":0.000024750689,"about_ca_system_score_gemma":0.00014115554,"threshold_uncertainty_score":0.99991924},"labels":[],"label_agreement":null},{"id":"W2902044295","doi":"10.3390/app8122414","title":"3D Bioprinting Human Induced Pluripotent Stem Cell-Derived Neural Tissues Using a Novel Lab-on-a-Printer Technology","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; British Columbia Innovation Council","keywords":"Induced pluripotent stem cell; Neural stem cell; OLIG2; 3D bioprinting; Human Induced Pluripotent Stem Cells; Neurosphere; Neural development; Spinal cord injury; Spinal cord; Cell biology; Biology; Stem cell; Chemistry; Neuroscience; Biomedical engineering; Tissue engineering; Embryonic stem cell; Medicine; Central nervous system; Adult stem cell; Biochemistry; Gene","score_opus":0.06477135469772145,"score_gpt":0.3183404560379967,"score_spread":0.25356910134027527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902044295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859632,0.00002087095,0.0023588534,0.00013494091,0.00030446882,0.00022964722,0.0000011635093,0.00045925792,0.010527547],"genre_scores_gemma":[0.98916584,0.000001688758,0.010507165,0.00005263098,0.00018530757,0.000021677528,4.537936e-7,0.000026737594,0.00003851459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792445,0.00001444184,0.00029816528,0.00049302826,0.00056190405,0.0007080121],"domain_scores_gemma":[0.9993567,0.00007753148,0.00005855769,0.00032635606,0.000060742124,0.00012013335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005579929,0.00020909333,0.0002082506,0.00045786114,0.00046012303,0.00014610795,0.0008883325,0.0001605822,0.00009434619],"category_scores_gemma":[0.000030592357,0.000179807,0.000033345208,0.0010392861,0.0010316947,0.00007692002,0.00043279247,0.00039489038,0.00016897634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028214886,0.000025722708,0.00026885764,0.000025960979,0.000008765159,0.0000020896898,0.00024249438,0.00037169273,0.98430026,0.0010452779,0.000012313735,0.013693773],"study_design_scores_gemma":[0.00027483565,0.00016441297,0.00051776477,0.000054159624,0.0000049994205,0.000006794452,0.0006744364,0.0488114,0.9482867,0.00017273768,0.00074950646,0.0002822348],"about_ca_topic_score_codex":0.00003139359,"about_ca_topic_score_gemma":0.000009298349,"teacher_disagreement_score":0.048439708,"about_ca_system_score_codex":0.00007843623,"about_ca_system_score_gemma":0.00003259248,"threshold_uncertainty_score":0.73323166},"labels":[],"label_agreement":null},{"id":"W2902702568","doi":"10.3390/app8122470","title":"Obtaining Vital Distances Using Wearable Inertial Measurement Unit for Real-Time, Biomechanical Feedback Training in Hammer-Throw","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Wearable computer; Hammer; Inertial measurement unit; Simulation; Throwing; Inertial frame of reference; Computer science; Units of measurement; Engineering; Artificial intelligence; Mechanical engineering; Embedded system","score_opus":0.06204578976593579,"score_gpt":0.2668069654192805,"score_spread":0.20476117565334473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902702568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551609,0.00007220789,0.03941425,0.000038004662,0.0006078241,0.00037384906,0.000011904675,0.00017378455,0.0041472362],"genre_scores_gemma":[0.9866992,0.000016166508,0.012993337,0.000019735699,0.00020670022,0.000028736104,0.0000038167173,0.000023377981,0.000008897845],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982698,0.000008442352,0.0003313712,0.00037248654,0.0004358199,0.00058210257],"domain_scores_gemma":[0.9996234,0.000038497135,0.000061778555,0.00013292939,0.000057530877,0.000085830055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013051274,0.00019040734,0.0002444268,0.00019919302,0.00028194883,0.000121657904,0.00029592402,0.00009222953,0.000031560437],"category_scores_gemma":[0.00001917321,0.00017254014,0.00004436502,0.0008700422,0.00022483311,0.00015298025,0.00004319226,0.00008409688,0.000008958034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039656145,0.000026126772,0.000067614616,0.000027095937,0.000019210467,0.0000023666614,0.00075819105,0.003430381,0.9682631,0.008021144,0.00002916447,0.019315962],"study_design_scores_gemma":[0.0006260142,0.00016477972,0.00008352828,0.000116710275,0.000018344617,0.0000035476025,0.0033609518,0.93517077,0.05502928,0.004244394,0.0006762555,0.0005053965],"about_ca_topic_score_codex":0.00005468108,"about_ca_topic_score_gemma":0.000386329,"teacher_disagreement_score":0.9317404,"about_ca_system_score_codex":0.000117397605,"about_ca_system_score_gemma":0.00012295114,"threshold_uncertainty_score":0.70359826},"labels":[],"label_agreement":null},{"id":"W2902888331","doi":"10.3390/app8122440","title":"Delamination Buckling and Crack Propagation Simulations in Fiber-Metal Laminates Using xFEM and Cohesive Elements","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Delamination (geology); Finite element method; Structural engineering; Cohesive zone model; Fracture mechanics; Buckling; Composite material; Adhesive; Extended finite element method; Engineering; Layer (electronics); Geology","score_opus":0.0227021820544778,"score_gpt":0.2735000109400102,"score_spread":0.25079782888553237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902888331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659944,0.000041609128,0.0026574905,0.000012298938,0.000033295768,0.00018881116,0.000001538576,0.000039539394,0.00042599067],"genre_scores_gemma":[0.989187,0.000003433439,0.010760762,0.000006941659,0.000021927302,0.000006470186,0.000002362397,0.000005510557,0.0000055614],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939615,0.000010148301,0.00015454179,0.00016178058,0.00014211671,0.00013525224],"domain_scores_gemma":[0.999786,0.00008487242,0.000030924613,0.00004661316,0.000023012482,0.000028580236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021815083,0.0000738702,0.00007763753,0.00011005071,0.00014942217,0.000067705645,0.00006146603,0.00003355695,0.000016473854],"category_scores_gemma":[0.000020843827,0.000070868315,0.0000051302013,0.00025553885,0.00014020724,0.00019916368,0.000031389183,0.000046655045,0.0000043205955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003066249,0.000015246926,0.0056312843,0.000021457432,0.000004106361,6.2380127e-7,0.00049743516,0.007592307,0.96637034,0.003123309,0.0000020609725,0.016738785],"study_design_scores_gemma":[0.00021246317,0.000055933382,0.015403709,0.000030436486,0.000015134486,0.0000022861147,0.0001659006,0.8075036,0.17437877,0.002045585,0.000026182634,0.00015999074],"about_ca_topic_score_codex":0.0000054968004,"about_ca_topic_score_gemma":0.000026506927,"teacher_disagreement_score":0.7999113,"about_ca_system_score_codex":0.000022907532,"about_ca_system_score_gemma":0.000007160401,"threshold_uncertainty_score":0.28899258},"labels":[],"label_agreement":null},{"id":"W2903581537","doi":"10.3390/app8122696","title":"Impregnation of Wood with Microencapsulated Bio-Based Phase Change Materials for High Thermal Mass Engineered Wood Flooring","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Hardwood; Composite material; Thermal energy storage; Phase-change material; Porosity; Pulp and paper industry; Thermal; Botany","score_opus":0.04607979724051954,"score_gpt":0.286075635205012,"score_spread":0.23999583796449248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903581537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931782,0.000049441453,0.0049660527,0.000045743658,0.00031693306,0.0008331513,0.00016661196,0.00017483809,0.00026906678],"genre_scores_gemma":[0.9945376,0.00000411921,0.0046957806,0.00001650862,0.00030589913,0.00036405455,0.000039522594,0.000032988537,0.0000035588307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864614,0.00001682803,0.0002413188,0.00027008614,0.00037319085,0.00045243689],"domain_scores_gemma":[0.9994917,0.00005279536,0.00006566788,0.00019172991,0.00012994563,0.00006814756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059453043,0.00018396879,0.00024353735,0.00026068973,0.00012084277,0.00009018822,0.00034364662,0.00007283107,0.00011789412],"category_scores_gemma":[0.000017389737,0.00014813525,0.000019909105,0.00049800484,0.00034597682,0.00017349616,0.000025224104,0.000039648767,0.000012586363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009464509,0.000034252203,0.0000020199993,0.00012460929,0.000020395913,7.353312e-7,0.00027368727,0.0002850061,0.99761933,0.00031391787,0.000022837608,0.0012085423],"study_design_scores_gemma":[0.0016700741,0.00036515086,0.000050370636,0.000058653593,0.000013694501,6.7818166e-7,0.00006937132,0.006195576,0.99127156,0.000082161256,0.00003969708,0.00018301878],"about_ca_topic_score_codex":0.000038113372,"about_ca_topic_score_gemma":0.000010416965,"teacher_disagreement_score":0.0063477973,"about_ca_system_score_codex":0.000051523326,"about_ca_system_score_gemma":0.000043310036,"threshold_uncertainty_score":0.60407805},"labels":[],"label_agreement":null},{"id":"W2903639127","doi":"10.3390/app8122680","title":"Modeling Sea Bottom Hyperspectral Reflectance","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Hyperspectral imaging; Irradiance; Remote sensing; Vegetation (pathology); Environmental science; Radiative transfer; Reflectivity; Absorption (acoustics); Spectral line; Mineral; Mineralogy; Materials science; Chemistry; Optics; Geology; Physics","score_opus":0.02497403931745827,"score_gpt":0.23434296078368239,"score_spread":0.2093689214662241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903639127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58851254,0.000077734694,0.00051354035,0.00014077927,0.0002095155,0.000071030285,0.0000047116537,0.000056736462,0.41041338],"genre_scores_gemma":[0.9961604,0.000009784451,0.0028301892,0.00033434888,0.00040177975,0.0000014048828,0.000004739325,0.0000018654756,0.00025549755],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987325,0.000017129842,0.00015476145,0.00036546955,0.00033601685,0.00039409866],"domain_scores_gemma":[0.9996626,0.000030924817,0.00003400716,0.00014506158,0.000028304345,0.000099108496],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00044482254,0.00010645124,0.000118424156,0.00006524899,0.0005119198,0.00013119531,0.00039698958,0.00003798843,0.001193129],"category_scores_gemma":[0.000010419131,0.00008062528,0.000028849796,0.0005062317,0.00026703015,0.00018344414,0.00001817981,0.00009390303,0.00085884106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039761467,0.00014340696,0.43000057,0.000112989874,0.00009938024,0.00004969507,0.004655203,0.056705136,0.01428339,0.12597376,0.007572826,0.36000603],"study_design_scores_gemma":[0.00018897078,0.00029869052,0.0036740552,0.000011754722,0.0000074688787,0.000021125406,0.0010608376,0.97805834,0.0013563579,0.012108198,0.0028400116,0.0003741936],"about_ca_topic_score_codex":0.0019139437,"about_ca_topic_score_gemma":0.008148702,"teacher_disagreement_score":0.9213532,"about_ca_system_score_codex":0.0000031075406,"about_ca_system_score_gemma":0.00008020453,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W2903859465","doi":"10.3390/app8122625","title":"Antipodal Vivaldi Antenna Arrays Fed by Substrate Integrated Waveguide Right-Angled Power Dividers","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Vivaldi antenna; Antipodal point; Power dividers and directional couplers; Wilkinson power divider; Return loss; Optics; Bandwidth (computing); Antenna (radio); Radiation pattern; Materials science; Engineering; Electrical engineering; Physics; Telecommunications; Mathematics; Frequency divider; Geometry","score_opus":0.009383068437146053,"score_gpt":0.20953713076453764,"score_spread":0.20015406232739158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903859465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8528388,0.00031207452,0.06856862,0.00011693385,0.0010091893,0.0002349184,0.00003053321,0.0010104439,0.07587849],"genre_scores_gemma":[0.9963726,0.000024074772,0.0030327158,0.00010329833,0.00012706677,0.000012947854,0.00001470706,0.00003962564,0.0002730103],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981278,0.000016507878,0.00035981656,0.0004610666,0.00033450333,0.0007002624],"domain_scores_gemma":[0.99937254,0.00006604471,0.00004746647,0.00028508613,0.000063456435,0.00016539807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050327554,0.0003349971,0.00028972782,0.0001624616,0.00032378692,0.00020690369,0.00053660217,0.00011575228,0.00027638488],"category_scores_gemma":[0.000028934852,0.00027275342,0.00006914214,0.0007971532,0.0006345872,0.00018753014,0.00004071342,0.00020585976,0.00025997218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123328955,0.000025392172,0.00011790334,0.000018154502,0.00005510708,0.000006869478,0.0005567933,0.0008937807,0.9737114,0.0025315322,0.02159244,0.00047833115],"study_design_scores_gemma":[0.00075682875,0.00024849398,0.0007551069,0.000089459085,0.000034322915,0.000026054055,0.0009843797,0.10769885,0.8531013,0.0014101682,0.033622563,0.0012724526],"about_ca_topic_score_codex":0.00003251879,"about_ca_topic_score_gemma":0.00002287664,"teacher_disagreement_score":0.14353377,"about_ca_system_score_codex":0.000047169473,"about_ca_system_score_gemma":0.000040928935,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W2904433214","doi":"10.3390/app8122533","title":"Optimal Collision-Free Grip Planning for Biped Climbing Robots in Complex Truss Environment","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China-Guangdong Joint Fund; National Natural Science Foundation of China","keywords":"Obstacle; Robot; Flexibility (engineering); Computer science; Constraint (computer-aided design); Motion planning; Climbing; Kinematics; Path (computing); Sequence (biology); Simulation; Engineering; Artificial intelligence; Mathematics; Structural engineering; Mechanical engineering","score_opus":0.03726964300708278,"score_gpt":0.25660410796655947,"score_spread":0.2193344649594767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904433214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56968933,0.000114713825,0.39908677,0.00048060186,0.0004885164,0.0010407831,0.00000931202,0.00025929234,0.02883067],"genre_scores_gemma":[0.96630114,0.000004036261,0.033352792,0.0001053355,0.00011076173,0.000080431,0.0000031004765,0.000009928305,0.000032464366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990295,0.000008434645,0.00020807356,0.00022805158,0.00020064403,0.00032527559],"domain_scores_gemma":[0.99965554,0.0000912053,0.000028952243,0.00015898353,0.0000061270302,0.00005916837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037761623,0.000111753376,0.0001520084,0.0000988336,0.0002084916,0.00006570395,0.00035434874,0.000043641132,0.00007091139],"category_scores_gemma":[0.000013125703,0.00009982156,0.000028505068,0.00018815584,0.00019163298,0.00007796495,0.000048596507,0.000059331647,0.00003989751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013791545,0.00002051497,0.00029656698,0.000008210126,0.0000060869406,8.341968e-7,0.0005640722,0.9815377,0.00969537,0.0042179646,0.0010600927,0.0025787882],"study_design_scores_gemma":[0.0015286141,0.00012339094,0.0061658137,0.000019642272,0.0000069792,0.000001922764,0.00077855017,0.9833739,0.003240379,0.0011881877,0.0033107894,0.0002618212],"about_ca_topic_score_codex":0.000004503378,"about_ca_topic_score_gemma":0.0000067466563,"teacher_disagreement_score":0.39661184,"about_ca_system_score_codex":0.000045232344,"about_ca_system_score_gemma":0.000012663327,"threshold_uncertainty_score":0.40706053},"labels":[],"label_agreement":null},{"id":"W2904510603","doi":"10.3390/app8122693","title":"Estimating Underwater Light Regime under Spatially Heterogeneous Sea Ice in the Arctic","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Agence Nationale de la Recherche; Compute Canada; Centre National de la Recherche Scientifique; Université Laval","keywords":"Irradiance; Water column; Radiative transfer; Radiance; Arctic; Environmental science; Attenuation; Attenuation coefficient; Sea ice; Atmospheric sciences; Snow; Geology; Remote sensing; Climatology; Optics; Oceanography; Geomorphology; Physics","score_opus":0.0176408736676283,"score_gpt":0.22862137004345146,"score_spread":0.21098049637582317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904510603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94219244,0.000032893302,0.005828616,0.003615104,0.00042128746,0.00026908,0.000004635134,0.000044318153,0.047591634],"genre_scores_gemma":[0.98928535,0.0000034291747,0.0075377305,0.002824092,0.0002712426,0.0000024515878,0.000008648086,0.0000031246277,0.00006390741],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837595,0.00007250149,0.00022206132,0.00037540827,0.0004725538,0.0004815376],"domain_scores_gemma":[0.9993428,0.00027016542,0.00008557402,0.00021237897,0.000025202084,0.00006388011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009785226,0.00014925723,0.00013271853,0.000075042735,0.00070053845,0.00018763599,0.00066776073,0.00005294075,0.00056594337],"category_scores_gemma":[0.0000255334,0.00008792374,0.00003355739,0.00048677844,0.0007473741,0.00017046275,0.000028329738,0.00015363719,0.0004363057],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001800153,0.00021907322,0.68176025,0.00013508025,0.00008416212,0.0001307295,0.025280148,0.18755192,0.0007201615,0.023850244,0.0008417053,0.07924654],"study_design_scores_gemma":[0.00089352444,0.0009694267,0.21025787,0.00012305075,0.00007083107,0.00041642238,0.00816803,0.6413828,0.0007350726,0.13290608,0.0028398344,0.0012370407],"about_ca_topic_score_codex":0.0015952927,"about_ca_topic_score_gemma":0.0060858913,"teacher_disagreement_score":0.47150236,"about_ca_system_score_codex":0.000008455965,"about_ca_system_score_gemma":0.000088116496,"threshold_uncertainty_score":0.6196683},"labels":[],"label_agreement":null},{"id":"W2904763900","doi":"10.3390/app8122660","title":"Optimal Irregular Wind Farm Design for Continuous Placement of Wind Turbines with a Two-Dimensional Jensen-Gaussian Wake Model","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Department of Education and Training; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; China Postdoctoral Science Foundation; Jiangsu University; Queensland University of Technology","keywords":"Wake; Wind power; Turbine; Wind profile power law; Offshore wind power; Weibull distribution; Marine engineering; Wind speed; Meteorology; Wind gradient; Environmental science; Engineering; Mathematics; Aerospace engineering; Electrical engineering; Physics; Statistics","score_opus":0.0244147288166195,"score_gpt":0.2458097063243311,"score_spread":0.22139497750771162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904763900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9120722,0.00007722929,0.07954917,0.00008135434,0.00009460687,0.00054477184,0.000010397845,0.000085754924,0.0074845194],"genre_scores_gemma":[0.86193705,0.0000013661694,0.1376928,0.000034610406,0.00007133899,0.00003785894,0.0000043815157,0.0000146688335,0.00020591468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984869,0.000008960753,0.00020654942,0.0002975943,0.000511239,0.0004887947],"domain_scores_gemma":[0.9995357,0.00007144265,0.000038610542,0.00014264604,0.0000804928,0.00013111175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049300946,0.00017486502,0.00021220384,0.00012166628,0.0002145685,0.000048366495,0.0002516993,0.000042721218,0.000024862906],"category_scores_gemma":[0.0000079512965,0.0001246089,0.00002828947,0.00026726624,0.00050597725,0.000069164504,0.00004589512,0.000059346683,0.000007771523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013739776,0.00002729596,0.000026104688,0.000015604866,0.00003892285,0.0000014939512,0.0003257751,0.96134746,0.0349482,0.0016178839,0.00064075633,0.00087310025],"study_design_scores_gemma":[0.0014373404,0.00054737524,0.00017201348,0.00004621563,0.000014988607,0.000009460829,0.00032952332,0.80820113,0.18762608,0.00077160314,0.00049842626,0.0003458646],"about_ca_topic_score_codex":0.000008250046,"about_ca_topic_score_gemma":0.000016677095,"teacher_disagreement_score":0.15314636,"about_ca_system_score_codex":0.000031475523,"about_ca_system_score_gemma":0.00019103859,"threshold_uncertainty_score":0.5081403},"labels":[],"label_agreement":null},{"id":"W2905967871","doi":"10.3390/app8101730","title":"Early-Age Cracking in Concrete: Causes, Consequences, Remedial Measures, and Recommendations","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete Properties and Behavior","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"George Brown College","funders":"Universiti Kebangsaan Malaysia","keywords":"Cracking; Forensic engineering; Service life; Remedial education; Reinforced concrete; Engineering; Materials science; Structural engineering; Composite material; Psychology","score_opus":0.043624291905497846,"score_gpt":0.26060283272393236,"score_spread":0.2169785408184345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905967871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898126,0.0002132792,0.00008479187,0.00027404705,0.00031626187,0.00015666551,0.0000036423469,0.00010595282,0.009032739],"genre_scores_gemma":[0.9982283,0.00009513135,0.0014372851,0.00007581122,0.00010209092,0.000026116471,0.0000017604227,0.000007649418,0.000025821844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918765,0.0000149849175,0.00017503211,0.00020608996,0.00016287749,0.0002533762],"domain_scores_gemma":[0.9997543,0.000051419036,0.00002068618,0.00009427177,0.000019904397,0.0000593986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401504,0.00009812336,0.000119531695,0.000085873035,0.00018978702,0.00012210883,0.000163255,0.00004779593,0.000080215636],"category_scores_gemma":[0.000023769124,0.00008408409,0.000010945555,0.00028278175,0.00083009043,0.0001340209,0.00004239389,0.00010964027,0.000019895602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028445109,0.0000070743968,0.021611074,0.000031066895,0.00002117947,0.00003205211,0.006055467,0.00006003929,0.80983424,0.008945647,0.0025751377,0.15079859],"study_design_scores_gemma":[0.0059180115,0.0014613866,0.106708966,0.0008130627,0.00019570247,0.00017454058,0.013312424,0.017010393,0.53540903,0.00838156,0.30539075,0.0052242144],"about_ca_topic_score_codex":0.0002799509,"about_ca_topic_score_gemma":0.0011311165,"teacher_disagreement_score":0.3028156,"about_ca_system_score_codex":0.000028270513,"about_ca_system_score_gemma":0.000035968747,"threshold_uncertainty_score":0.34288496},"labels":[],"label_agreement":null},{"id":"W2906104782","doi":"10.3390/app9010022","title":"Free Transverse Vibration of Rectangular Orthotropic Plates with Two Opposite Edges Rotationally Restrained and Remaining Others Free","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Orthotropic material; Vibration; Boundary value problem; Transverse plane; Eigenvalues and eigenvectors; Limiting; Structural engineering; Mathematical analysis; Mathematics; Engineering; Acoustics; Physics; Finite element method; Mechanical engineering","score_opus":0.006962028396794583,"score_gpt":0.20193143400944766,"score_spread":0.19496940561265308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906104782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.924628,0.00007167021,0.06734286,0.000085566964,0.000033198347,0.00011507249,0.0000069254593,0.000057889527,0.0076587866],"genre_scores_gemma":[0.9546265,0.0000099487825,0.04527183,0.000020819043,0.000047995363,0.0000040240343,0.0000060021434,0.000007158812,0.00000574677],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999399,0.00000918296,0.0001413269,0.00016067576,0.00018475576,0.000105042425],"domain_scores_gemma":[0.99970967,0.00003834313,0.000045431087,0.00013950698,0.000037477155,0.000029604815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120822624,0.000086763175,0.000112639806,0.000104774306,0.00013766262,0.000047465583,0.0001545522,0.000024991989,0.000030317118],"category_scores_gemma":[0.000008092495,0.00006855553,0.000015550222,0.00037398742,0.00023993447,0.00016563904,0.000012170026,0.00003578562,3.8054077e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104892875,0.000012139834,0.003407763,0.00004712243,0.00013784757,0.0000019920467,0.006267996,0.37809184,0.57130337,0.0323176,0.0001356927,0.0081717605],"study_design_scores_gemma":[0.003527408,0.0008554576,0.04723308,0.00018593113,0.00030066087,0.000019763505,0.002757249,0.62927276,0.29482386,0.019733405,0.0003101683,0.0009802581],"about_ca_topic_score_codex":0.000016207732,"about_ca_topic_score_gemma":0.00044584516,"teacher_disagreement_score":0.27647948,"about_ca_system_score_codex":0.000008855694,"about_ca_system_score_gemma":0.000017965438,"threshold_uncertainty_score":0.27956134},"labels":[],"label_agreement":null},{"id":"W2906164363","doi":"10.3390/app9010067","title":"Analysis of the Hydrodynamic Effects of Gas Permeation in a Pilot-Scale Fluidized Bed Membrane Reactor","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province","keywords":"Bubble; Drag; Fluidized bed; Permeation; Materials science; Extraction (chemistry); Membrane; Inlet; Chromatography; Mechanics; Chemistry; Physics; Engineering; Mechanical engineering","score_opus":0.006022590003103892,"score_gpt":0.20532626186515726,"score_spread":0.19930367186205336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906164363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704677,0.000049937433,0.00028332337,0.000014309793,0.00011822995,0.00019488827,0.0000027398044,0.000025481435,0.0022642976],"genre_scores_gemma":[0.9997175,0.000016490834,0.00021368262,0.000009429269,0.000016324328,0.000015233042,0.0000020709651,0.00000588601,0.0000034220436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991443,0.000026923015,0.0002308604,0.00015952667,0.00027348832,0.0001649048],"domain_scores_gemma":[0.999585,0.00010279895,0.00004749644,0.00021819895,0.000022735012,0.000023768813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036004838,0.00009155215,0.00025740216,0.00027834694,0.00004932717,0.000010015352,0.00029168147,0.000037970305,0.000024579285],"category_scores_gemma":[0.000023983042,0.000063666725,0.0000760424,0.0021571575,0.00035458733,0.00005578854,0.00002732708,0.00005278703,0.000004877765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010140626,0.000024666175,0.0018416021,0.000034514393,0.00004092421,8.148693e-8,0.0006269292,0.00028944836,0.9964726,0.00025478142,0.0000055004907,0.0003988087],"study_design_scores_gemma":[0.000357372,0.00005541742,0.010220268,0.000019595824,0.00013760933,1.5613136e-7,0.000054999462,0.07501078,0.91393995,0.00011698616,0.000007825742,0.00007906438],"about_ca_topic_score_codex":0.000071083916,"about_ca_topic_score_gemma":0.00031308076,"teacher_disagreement_score":0.082532674,"about_ca_system_score_codex":0.000020396352,"about_ca_system_score_gemma":0.00001838188,"threshold_uncertainty_score":0.25962538},"labels":[],"label_agreement":null},{"id":"W2906494374","doi":"10.3390/app9010024","title":"Bearing Capacity Model of Corroded RC Eccentric Compression Columns Based on Hermite Interpolation and Fourier Fitting","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hermite interpolation; Structural engineering; Fourier series; Interpolation (computer graphics); Bearing capacity; Piecewise; Spline interpolation; Pier; Bending; Mathematics; Materials science; Hermite polynomials; Mathematical analysis; Engineering; Bilinear interpolation","score_opus":0.03406342737072821,"score_gpt":0.23393257982907784,"score_spread":0.19986915245834963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906494374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529989,0.000008183609,0.034698017,0.000015419915,0.00010614999,0.00013138994,0.000003815877,0.00007336244,0.011964766],"genre_scores_gemma":[0.9945505,0.000001302283,0.005359512,0.00004703186,0.000021654154,0.0000048781058,8.322069e-7,0.0000051685474,0.000009068479],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992778,0.000013394712,0.00016633558,0.000194816,0.00020027891,0.00014739137],"domain_scores_gemma":[0.9996396,0.00009466134,0.000045255994,0.00013420278,0.0000317128,0.000054615066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035592937,0.00008285775,0.000116543306,0.00007837564,0.00016874893,0.00003525278,0.00011207661,0.000041191826,0.000031202937],"category_scores_gemma":[0.000040969295,0.00007365152,0.000019390513,0.0002257782,0.00026585947,0.000075393415,0.00003911751,0.00007752565,0.000003060195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005947424,0.000034054137,0.014347561,0.000115026414,0.000003824348,2.1336325e-7,0.0017302193,0.18001987,0.78252447,0.0020875304,0.00025381753,0.018823914],"study_design_scores_gemma":[0.00016770785,0.000032020907,0.0024565181,0.000035189565,0.0000033221995,1.7763037e-7,0.00008735183,0.9658197,0.03109932,0.00020175765,0.000016124653,0.00008079023],"about_ca_topic_score_codex":0.00001425299,"about_ca_topic_score_gemma":0.000019572004,"teacher_disagreement_score":0.78579986,"about_ca_system_score_codex":0.000020220667,"about_ca_system_score_gemma":0.000016574042,"threshold_uncertainty_score":0.30034217},"labels":[],"label_agreement":null},{"id":"W2908490877","doi":"10.3390/app9010136","title":"Optimizing C-RAN Backhaul Topologies: A Resilience-Oriented Approach Using Graph Invariants","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"European Commission; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Parliament","keywords":"Backhaul (telecommunications); Network topology; Computer science; Computer network; Survivability; Distributed computing; Topology (electrical circuits); Engineering; Base station","score_opus":0.02181037064660596,"score_gpt":0.24275000274222647,"score_spread":0.2209396320956205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908490877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64070743,0.00031215494,0.2770255,0.000039801682,0.00041406468,0.00047725224,0.000002193585,0.0013430717,0.07967853],"genre_scores_gemma":[0.6629981,0.00003539106,0.33686742,0.00003099545,0.000021047472,0.000017459739,0.0000010489987,0.000013521607,0.000015048649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821913,0.000014131956,0.0002605448,0.000511618,0.00033029538,0.0006642606],"domain_scores_gemma":[0.9993,0.00017617371,0.000049096652,0.00038765668,0.00002016149,0.00006693437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863133,0.00022635733,0.00026963706,0.00019837526,0.00022783501,0.000076147015,0.0007120273,0.00014641703,0.00003557217],"category_scores_gemma":[0.00006375883,0.00019306305,0.00004508576,0.0014986172,0.0007520739,0.00031665,0.00018861756,0.00026856078,0.00005477587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009112549,0.000018902685,0.0004646463,0.000031792813,0.000013795188,0.0000025582788,0.00027215332,0.9009645,0.022864,0.0730543,0.00005674791,0.0022475026],"study_design_scores_gemma":[0.00052577327,0.000121780075,0.00027081333,0.00006301116,0.00001860067,0.00002209213,0.012526773,0.9530982,0.008029387,0.02396487,0.00046425048,0.0008944491],"about_ca_topic_score_codex":0.000005950368,"about_ca_topic_score_gemma":0.0000021031035,"teacher_disagreement_score":0.07966348,"about_ca_system_score_codex":0.000059375867,"about_ca_system_score_gemma":0.000025747102,"threshold_uncertainty_score":0.78728825},"labels":[],"label_agreement":null},{"id":"W2909015627","doi":"10.3390/app9020286","title":"Temperature Sensing of Stepped-Metal Coated Optical Fiber Bragg Grating with the Restructured Dual-Peak Resonance","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Fiber Bragg grating; Materials science; Resonance (particle physics); Coating; Grating; Metal; Sensitivity (control systems); Optics; Optoelectronics; Composite material; Physics; Atomic physics; Metallurgy; Electronic engineering; Wavelength","score_opus":0.00560690947127773,"score_gpt":0.20300418209546214,"score_spread":0.1973972726241844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909015627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773813,0.00013632032,0.00010701807,0.00009484482,0.00012003779,0.00030669878,0.000005045459,0.00012496352,0.011366932],"genre_scores_gemma":[0.9845706,0.0000031785637,0.015097128,0.000051601837,0.00004621643,0.000003115929,0.0000021925282,0.000024033381,0.00020189212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866766,0.000017601233,0.0002098497,0.0003126329,0.0004420142,0.00035024172],"domain_scores_gemma":[0.99930185,0.00024180692,0.00006580201,0.00029807538,0.000044116678,0.000048342103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024084082,0.00019029452,0.00023230503,0.00005480492,0.00016165883,0.000058529877,0.00021769569,0.00008221217,0.00002663394],"category_scores_gemma":[0.000024065324,0.000115194445,0.000028730468,0.00072145415,0.00048650987,0.00012810626,0.00004141026,0.00028539807,0.000020627549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003329153,0.000005550398,0.00015286854,0.000033459226,0.000025799023,0.000007934455,0.0009362175,0.13303854,0.85776806,0.0048399256,0.00019384851,0.0029644999],"study_design_scores_gemma":[0.001737959,0.00030453052,0.01074089,0.0002641037,0.000074847725,0.00022858082,0.007614169,0.047734708,0.92608005,0.0007037909,0.003233926,0.0012824403],"about_ca_topic_score_codex":0.0000043722794,"about_ca_topic_score_gemma":0.000015906257,"teacher_disagreement_score":0.08530383,"about_ca_system_score_codex":0.000020683732,"about_ca_system_score_gemma":0.000034202647,"threshold_uncertainty_score":0.46974933},"labels":[],"label_agreement":null},{"id":"W2909021120","doi":"10.3390/app9020322","title":"Integrating the Shape Constants of a Novel Material Stress-Strain Characterization Model for Parametric Numerical Analysis of the Deformational Capacity of High-Strength X80-Grade Steel Pipelines","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TransCanada (Canada); University of Alberta","funders":"","keywords":"Structural engineering; Materials science; Parametric statistics; Finite element method; Deformation (meteorology); Nonlinear system; Ductility (Earth science); Bending; Dimensionless quantity; Stress (linguistics); Material properties; Pipeline transport; Mechanics; Composite material; Engineering; Mathematics; Mechanical engineering","score_opus":0.018730917059210053,"score_gpt":0.22101934003269594,"score_spread":0.20228842297348587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909021120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8023625,0.000003223776,0.19598658,0.000017838696,0.00009013378,0.00017108774,0.0012970546,0.000018941178,0.00005266634],"genre_scores_gemma":[0.9936629,0.0000017749068,0.006244024,0.0000065312206,0.000012430221,0.000013454198,0.000051635372,0.000004851729,0.0000024269957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907297,0.000008227214,0.00037826903,0.00011803482,0.00028632523,0.00013616393],"domain_scores_gemma":[0.999434,0.00018971291,0.00017032275,0.00013767065,0.000050423565,0.000017869208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022962733,0.00010432306,0.0002597469,0.00014511812,0.000057820314,0.000021366686,0.00032149965,0.00005885876,0.0000099694025],"category_scores_gemma":[0.000060972754,0.00005887876,0.000086899025,0.0011006808,0.00018849218,0.00006831868,0.000027142925,0.00007665742,7.652558e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049917517,0.000016346776,0.00022987758,0.000046066933,0.000051802763,2.223619e-9,0.00014080445,0.7732237,0.19646356,0.029429931,6.442161e-7,0.0003922576],"study_design_scores_gemma":[0.00013824149,0.000013920611,0.012798203,0.000014652485,0.000062480474,2.8296336e-7,0.00014417466,0.96781623,0.01850927,0.00043524412,0.0000017049045,0.00006559452],"about_ca_topic_score_codex":0.000017897353,"about_ca_topic_score_gemma":0.000006977245,"teacher_disagreement_score":0.1945925,"about_ca_system_score_codex":0.0000128099555,"about_ca_system_score_gemma":0.000029377445,"threshold_uncertainty_score":0.2401006},"labels":[],"label_agreement":null},{"id":"W2909948712","doi":"10.3390/app9020310","title":"Data Sensing and Processing Tensioning System Based on the Internet of Things","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Petroleum Technology Research Centre; Guizhou Science and Technology Department; National Natural Science Foundation of China","keywords":"Precast concrete; Data acquisition; Computer science; Application layer; Real-time computing; Android (operating system); Process (computing); Data processing; Engineering; Database; Structural engineering; Operating system; Software","score_opus":0.018580586424551307,"score_gpt":0.20849206592769645,"score_spread":0.18991147950314513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909948712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102663,0.000070087175,0.026133507,0.00010848813,0.00024738465,0.00014788272,0.0000015313325,0.00012141689,0.06290345],"genre_scores_gemma":[0.9977826,4.250159e-7,0.0021361755,0.000057905778,0.000010301874,6.594131e-7,0.0000010351206,0.000002886105,0.000008021801],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996074,0.0000058790156,0.00008481147,0.00011778815,0.00012257708,0.00006156949],"domain_scores_gemma":[0.9997655,0.000059351467,0.000029690029,0.00012298551,0.000012872129,0.000009592395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030890811,0.000044582855,0.000056074634,0.000036305206,0.000065906825,0.000061157996,0.00013131526,0.00001830913,0.0000048533348],"category_scores_gemma":[0.000006466952,0.000026627247,0.0000047235567,0.00012970484,0.00009182285,0.00010830013,0.000023643628,0.00005594555,0.000004641751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027968192,0.0000123461605,0.0037053358,0.0007734984,0.000026320697,0.0000012063222,0.0036790431,0.025934715,0.19675304,0.2546085,0.001000591,0.5134774],"study_design_scores_gemma":[0.000035248995,0.000006570433,0.00011268791,0.00012957519,0.000002769484,0.0000030449742,0.001823247,0.99099666,0.0066557974,0.000077074554,0.00011882501,0.00003852333],"about_ca_topic_score_codex":0.0000127890735,"about_ca_topic_score_gemma":0.0000022479983,"teacher_disagreement_score":0.9650619,"about_ca_system_score_codex":0.000006781888,"about_ca_system_score_gemma":0.000013363303,"threshold_uncertainty_score":0.108582765},"labels":[],"label_agreement":null},{"id":"W2909983492","doi":"10.3390/app9020298","title":"A Review of Recent Results on Simultaneous Interrogation of Multiple Fiber Bragg Grating-Based Sensors Using Microwave Photonics","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"QPS Photronics (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fiber Bragg grating; Materials science; Microwave; Pulse compression; Interrogation; Optics; Photonics; SIGNAL (programming language); Wavelength; Fiber optic sensor; Optoelectronics; Optical fiber; Computer science; Physics; Telecommunications; Radar","score_opus":0.07618187066960305,"score_gpt":0.32732829179853806,"score_spread":0.25114642112893504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909983492","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004305688,0.9939232,0.00033397425,0.000005142562,0.00029329292,0.0016847842,0.00016017802,0.000084513435,0.0030843872],"genre_scores_gemma":[0.00076151936,0.9768208,0.022183983,0.000043360724,0.000020904135,0.000021567552,0.00006652109,0.00006030918,0.000021013133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973028,0.0000680149,0.0012933542,0.0005444481,0.00045742246,0.0003339612],"domain_scores_gemma":[0.99670255,0.0016818497,0.0008857711,0.00055003754,0.00012084099,0.00005895467],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062054483,0.00044910837,0.0015423624,0.00025169778,0.000053057553,0.000015369675,0.00043954744,0.00021039264,0.00002916471],"category_scores_gemma":[0.00042301367,0.000372675,0.000249395,0.0010276057,0.00024750127,0.000045789708,0.000045706023,0.00032434167,0.000033263375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019259007,0.00004375454,7.3001196e-8,0.09458276,0.000068477486,0.0000034758866,0.00016413233,0.4508406,0.00064711424,0.00003268439,0.00007060474,0.45352706],"study_design_scores_gemma":[0.0006176124,0.00019933243,5.304966e-8,0.20180443,0.00052574946,0.00002111764,0.0001694772,0.19230245,0.008041863,0.00001545131,0.5952659,0.0010365096],"about_ca_topic_score_codex":0.000005839847,"about_ca_topic_score_gemma":0.0000058436863,"teacher_disagreement_score":0.59519535,"about_ca_system_score_codex":0.00023959305,"about_ca_system_score_gemma":0.00026553022,"threshold_uncertainty_score":0.9998725},"labels":[],"label_agreement":null},{"id":"W2910408918","doi":"10.3390/app9020226","title":"Wearables, Biomechanical Feedback, and Human Motor-Skills’ Learning &amp; Optimization","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Wearable computer; Human–computer interaction; Wearable technology; Motion capture; Inertial measurement unit; Deep learning; Artificial intelligence; Biofeedback; Motor learning; Motion (physics); Simulation; Physical medicine and rehabilitation; Psychology; Medicine","score_opus":0.019054185054054144,"score_gpt":0.27471468568369267,"score_spread":0.2556605006296385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910408918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96614146,0.000044723573,0.00027504962,0.00008485318,0.00006383714,0.00018752938,2.023089e-7,0.000063632004,0.03313873],"genre_scores_gemma":[0.99263006,0.000030756568,0.0054793875,0.00017688442,0.00006177782,0.0000069392268,0.000011064976,0.000007537496,0.001595594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991335,0.00000313418,0.00013406335,0.00027606264,0.00024355046,0.00020964765],"domain_scores_gemma":[0.9997402,0.00001667789,0.000053674565,0.00009948195,0.000017567443,0.000072419796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039629702,0.00008453422,0.00014887685,0.000114269824,0.00025638158,0.000047646463,0.00006789242,0.000054321175,0.00026805745],"category_scores_gemma":[0.0000066918315,0.00006669933,0.000019245848,0.00028700446,0.00015357723,0.00010831088,0.000035068228,0.00012769444,0.00008782816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106389474,0.0002449984,0.7396755,0.00016038035,0.00005360744,0.000007942944,0.0018657639,0.008679236,0.20227057,0.02963304,0.00025964042,0.017042901],"study_design_scores_gemma":[0.017441958,0.005634271,0.7052474,0.0013509344,0.00039894017,0.0005058176,0.013007738,0.10296286,0.030297317,0.003133471,0.11684251,0.003176776],"about_ca_topic_score_codex":0.000014324724,"about_ca_topic_score_gemma":0.0000023375846,"teacher_disagreement_score":0.17197326,"about_ca_system_score_codex":0.000011776413,"about_ca_system_score_gemma":0.000037177942,"threshold_uncertainty_score":0.29350412},"labels":[],"label_agreement":null},{"id":"W2910709817","doi":"10.3390/app9020317","title":"Nanomaterials in Craniofacial Tissue Regeneration: A Review","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Regeneration (biology); Scaffold; Tissue engineering; Extracellular matrix; Materials science; Biomedical engineering; Dentistry; Chemistry; Medicine; Cell biology","score_opus":0.052868586381991496,"score_gpt":0.30909351422446424,"score_spread":0.25622492784247275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910709817","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000781273,0.99042654,0.00006427457,0.000009588016,0.0019693333,0.0013909125,0.00002811739,0.00027557646,0.005827852],"genre_scores_gemma":[0.000031049658,0.99815476,0.00075401465,0.000021013311,0.00032711157,0.00042260616,0.000038862276,0.0000644829,0.00018607095],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979614,0.000054432476,0.000844331,0.00045331454,0.00028476666,0.00040173758],"domain_scores_gemma":[0.9993725,0.00006874872,0.00012025861,0.00037532786,0.000009096433,0.00005406297],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088959635,0.00045067287,0.0019295781,0.00021648317,0.000048285638,0.00013209756,0.0006002437,0.00023313629,0.00044069023],"category_scores_gemma":[0.000024106565,0.00038619144,0.00008877914,0.0007283288,0.00007194072,0.00011056829,0.00006459187,0.00014206428,0.0013150898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3512807e-7,0.0000111685285,8.000459e-8,0.16756728,0.00003255803,0.000013885932,0.000050180664,0.0010742736,0.0012512077,0.0028708482,0.0049981456,0.82212996],"study_design_scores_gemma":[0.000047723912,0.000010053611,2.2530297e-7,0.015085929,0.00008235357,0.000018384577,0.0000010298844,0.000015859141,0.00026924445,0.00002681448,0.9839944,0.00044794733],"about_ca_topic_score_codex":0.000002979765,"about_ca_topic_score_gemma":0.0000023437428,"teacher_disagreement_score":0.9789963,"about_ca_system_score_codex":0.000096379874,"about_ca_system_score_gemma":0.00011383217,"threshold_uncertainty_score":0.999859},"labels":[],"label_agreement":null},{"id":"W2911169558","doi":"10.3390/app9020281","title":"Understanding Camellia sinensis using Omics Technologies along with Endophytic Bacteria and Environmental Roles on Metabolism: A Review","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Metabolomics; Camellia sinensis; Biology; Microbial metabolism; Bacteria; Polyphenol; Biochemistry; Botany; Antioxidant; Bioinformatics","score_opus":0.1484039568851479,"score_gpt":0.31448863723540416,"score_spread":0.16608468035025625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911169558","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020034697,0.9957797,0.000054315045,0.00006306174,0.00009245098,0.0015488729,0.000023038454,0.000080286845,0.0003547944],"genre_scores_gemma":[0.018183004,0.98010796,0.0014201783,0.00012617758,0.00004846334,0.000043234202,0.000021847669,0.000035524346,0.000013585404],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981872,0.000036218375,0.00033953655,0.00067301776,0.000377454,0.0003865597],"domain_scores_gemma":[0.9990694,0.00017775763,0.0003168408,0.00036176905,0.000003904759,0.00007032501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035205885,0.00044995075,0.0017936921,0.00021524842,0.00020355162,0.000075739794,0.00020555321,0.00017222326,0.000010504617],"category_scores_gemma":[0.000022551281,0.00026731906,0.000121277386,0.0004191819,0.0007034023,0.00007003576,0.000117523574,0.0002988148,0.000021953341],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004724637,0.00010412617,0.000065868495,0.06876959,0.00040783416,0.000065426364,0.00014332839,0.000008236573,0.00091875513,0.0042622117,0.00013723921,0.9250701],"study_design_scores_gemma":[0.0024500042,0.0016221546,0.00009733085,0.321954,0.021112882,0.002262843,0.0050124465,0.0002928718,0.0007420406,0.0005188378,0.6403722,0.0035623622],"about_ca_topic_score_codex":0.000008381507,"about_ca_topic_score_gemma":0.0000024173203,"teacher_disagreement_score":0.9215078,"about_ca_system_score_codex":0.00018955003,"about_ca_system_score_gemma":0.00017427298,"threshold_uncertainty_score":0.9999779},"labels":[],"label_agreement":null},{"id":"W2912378491","doi":"10.3390/app9030474","title":"Quantum Bits with Macroscopic Topologically Protected States in Semiconductor Devices","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Narodowe Centrum Nauki; University of Ottawa","keywords":"Physics; Quantum decoherence; Quasiparticle; Quantum mechanics; Qubit; Spin (aerodynamics); Condensed matter physics; Semiconductor; Spins; Quantum; Superconductivity","score_opus":0.01457583729345384,"score_gpt":0.24621886261599366,"score_spread":0.2316430253225398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912378491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845397,0.000015233517,0.00006619182,0.00015138944,0.000073019204,0.00040028323,0.000010064589,0.000028937131,0.014715198],"genre_scores_gemma":[0.9989072,6.989325e-7,0.0007642473,0.00011325988,0.000042881642,0.000060288425,0.0000050303934,0.000004216077,0.00010214503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905235,0.000025405247,0.00015667523,0.00032619527,0.00013342325,0.00030596164],"domain_scores_gemma":[0.9997061,0.000056832905,0.000077154786,0.000103104205,0.000013058348,0.00004374345],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017668541,0.00012188073,0.00018810114,0.00003684867,0.00009402393,0.00010139967,0.00025218577,0.000026427077,0.0017794867],"category_scores_gemma":[0.0000013031286,0.00006991195,0.000013646962,0.00028251339,0.00022810786,0.00008744382,0.000053735628,0.00008164362,0.00011286632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004923226,0.00012335498,0.30347866,0.000024283108,0.000011641026,0.0000010126414,0.00039485682,0.00028899877,0.19872715,0.49614275,0.000013502252,0.0007445834],"study_design_scores_gemma":[0.0027489923,0.001931803,0.3106106,0.00013462272,0.000017918275,0.0000018476401,0.0084675215,0.00062940945,0.10578697,0.5651268,0.0031068972,0.001436672],"about_ca_topic_score_codex":0.0002355045,"about_ca_topic_score_gemma":0.000019301113,"teacher_disagreement_score":0.09294017,"about_ca_system_score_codex":0.0000070865635,"about_ca_system_score_gemma":0.000039685514,"threshold_uncertainty_score":0.99913305},"labels":[],"label_agreement":null},{"id":"W2912380531","doi":"10.3390/app9020355","title":"Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Kurtosis; Clutter; Computer science; Frequency domain; Radar; Impulse response; Acoustics; Speech recognition; Artificial intelligence; Mathematics; Telecommunications; Statistics; Computer vision; Physics","score_opus":0.025226544493657417,"score_gpt":0.28922464156071065,"score_spread":0.26399809706705324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912380531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6735666,0.00005489689,0.32565862,0.00002071076,0.00006561619,0.00043695403,0.000006871563,0.00003064666,0.00015908666],"genre_scores_gemma":[0.96485656,0.000008572289,0.034988515,0.000019457631,0.00005088859,0.000044915923,0.000008678704,0.00001906679,0.000003322949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987919,0.000025771793,0.00027229617,0.00034972385,0.00029673797,0.00026357372],"domain_scores_gemma":[0.9994082,0.00028131407,0.00008692091,0.00011832705,0.000043971635,0.00006127789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070004,0.00017692515,0.000278968,0.00033169836,0.00023102986,0.00006706661,0.000112759364,0.00008618471,0.000014497368],"category_scores_gemma":[0.000011340853,0.00016532691,0.00008415634,0.0006745852,0.00011197916,0.000403434,0.000015013463,0.0000887146,6.6954857e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037918257,0.000016220556,0.020882564,0.00015280541,0.00008980385,3.0006169e-7,0.0007609674,0.027027918,0.9487545,0.000038709637,0.0000013250677,0.0022369788],"study_design_scores_gemma":[0.0007564979,0.00018071962,0.041267097,0.0000333362,0.00027248912,8.090577e-7,0.00032161098,0.19147457,0.7649514,0.00048795473,0.000003570043,0.00024992955],"about_ca_topic_score_codex":0.00006562459,"about_ca_topic_score_gemma":0.00006277439,"teacher_disagreement_score":0.29129,"about_ca_system_score_codex":0.0000618095,"about_ca_system_score_gemma":0.000027676839,"threshold_uncertainty_score":0.67418355},"labels":[],"label_agreement":null},{"id":"W2913161267","doi":"10.3390/app9040650","title":"What Do We Learn from Good Practices of Biologically Inspired Design in Innovation?","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Commercialization; Process (computing); Field (mathematics); Management science; Computer science; Innovation process; Knowledge management; Business; Engineering; Marketing; Work in process; Mathematics","score_opus":0.06955937186246354,"score_gpt":0.3147552021187077,"score_spread":0.2451958302562442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913161267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635404,0.0010154963,0.0019594785,0.0010133464,0.0007043943,0.00032563775,0.0000012054767,0.00007927432,0.031360798],"genre_scores_gemma":[0.9910649,0.00056957785,0.008112981,0.00011961451,0.000024012093,0.000017781447,0.0000020897019,0.000004680752,0.000084338855],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992266,0.0000536685,0.00023081555,0.00018635481,0.00017093265,0.00013160294],"domain_scores_gemma":[0.99882877,0.0008051505,0.00018764657,0.00012783663,0.000032213775,0.000018399583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010084719,0.0000764792,0.000116561474,0.00016205631,0.00003215499,0.00013626569,0.00025817586,0.000058428304,0.00035538396],"category_scores_gemma":[0.00015307148,0.00006308272,0.000008995481,0.0012112628,0.00007392893,0.0007950866,0.000018017126,0.00011594709,0.00019981436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007866487,0.00024465792,0.016147064,0.000054617743,0.00004291966,0.0000013033018,0.0056683086,0.03900682,0.7012198,0.095809124,0.00095758383,0.14076915],"study_design_scores_gemma":[0.0035348034,0.0010558635,0.11740435,0.0006294742,0.000073716095,0.000010214637,0.094848976,0.040684834,0.2926853,0.13441053,0.312145,0.0025169144],"about_ca_topic_score_codex":0.000022701992,"about_ca_topic_score_gemma":0.0000057388916,"teacher_disagreement_score":0.40853447,"about_ca_system_score_codex":0.000014846383,"about_ca_system_score_gemma":0.00006964417,"threshold_uncertainty_score":0.38912052},"labels":[],"label_agreement":null},{"id":"W2913466723","doi":"10.3390/app9030470","title":"An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Classifier (UML); Robot; Humanoid robot; Pattern recognition (psychology); Machine learning","score_opus":0.05374945286205018,"score_gpt":0.325780461708405,"score_spread":0.27203100884635484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913466723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.331071,0.00001410608,0.66664374,0.00014470515,0.00020971405,0.00027687472,0.0000012068779,0.00005180922,0.0015868593],"genre_scores_gemma":[0.91521204,0.0000014947207,0.08466947,0.000032167878,0.000045245444,0.00002808509,0.0000020404837,0.0000027124481,0.000006774694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990358,0.00005634635,0.00018597425,0.00034761452,0.00022540324,0.00014891541],"domain_scores_gemma":[0.99941975,0.00013958864,0.00016128948,0.00017943623,0.00006880197,0.000031124608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016260397,0.000074185504,0.00014918049,0.00009732791,0.0001976115,0.00014643851,0.00047769916,0.000052319803,9.560091e-7],"category_scores_gemma":[0.000011857979,0.000059739403,0.000023933908,0.00038679817,0.000085779015,0.00041562997,0.00003528185,0.000040438146,0.0000054929596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001166436,0.000031535434,0.004856617,0.00006823184,0.0000054398056,6.111759e-8,0.0012752515,0.00014022646,0.26743114,0.5267131,0.0000208589,0.19944589],"study_design_scores_gemma":[0.0010880642,0.0006034474,0.2666769,0.000061197075,0.000014964942,0.0000071397662,0.0026348254,0.537235,0.16660553,0.024310963,0.00023276448,0.00052916026],"about_ca_topic_score_codex":0.000013378148,"about_ca_topic_score_gemma":0.000016902728,"teacher_disagreement_score":0.584141,"about_ca_system_score_codex":0.000017735832,"about_ca_system_score_gemma":0.000051570376,"threshold_uncertainty_score":0.24361022},"labels":[],"label_agreement":null},{"id":"W2913862604","doi":"10.3390/app9030379","title":"Angiography Simulation and Planning Using a Multi-Fluid Approach","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Virtual reality; Computer science; Volume rendering; Visualization; Software; Angiography; Scalability; Radiology; Simulation; Artificial intelligence; Medicine","score_opus":0.06836248198034084,"score_gpt":0.3385484206424054,"score_spread":0.2701859386620646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913862604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19321986,0.00011473445,0.8054466,0.000006461888,0.00006344943,0.00017082597,2.5547962e-7,0.00015382239,0.00082400313],"genre_scores_gemma":[0.80200434,0.000001782589,0.19785282,0.000115773495,0.000014412048,0.0000042861343,5.438043e-7,0.0000028692468,0.0000031813067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903643,0.00001811968,0.00013194096,0.0004153872,0.00022407195,0.00017404112],"domain_scores_gemma":[0.9996077,0.000057116584,0.00006815636,0.0001888142,0.000033186494,0.000045030883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037963619,0.000094135685,0.00010531684,0.00033280498,0.00022436789,0.00031601734,0.00043393232,0.000037553003,0.000001217619],"category_scores_gemma":[0.0000034234906,0.00008243272,0.000040292514,0.0011033015,0.00009846711,0.0003498608,0.00020293638,0.000043926906,0.0000015561179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028304735,0.000094524294,0.037132617,0.000027990529,0.000017406499,7.371166e-7,0.002589137,0.047925092,0.0048150453,0.9016175,0.00002408667,0.0057529784],"study_design_scores_gemma":[0.000104675,0.000030628864,0.002161856,0.000008447046,0.0000019161346,0.0000016639499,0.00006613979,0.994383,0.00046473515,0.0025404498,0.00011080869,0.00012571576],"about_ca_topic_score_codex":0.000008277457,"about_ca_topic_score_gemma":1.4674673e-7,"teacher_disagreement_score":0.94645786,"about_ca_system_score_codex":0.0000050298295,"about_ca_system_score_gemma":0.000020521858,"threshold_uncertainty_score":0.33615088},"labels":[],"label_agreement":null},{"id":"W2914021007","doi":"10.3390/app9030505","title":"A Fast Sparse Coding Method for Image Classification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Neural coding; Artificial intelligence; Pattern recognition (psychology); Coding (social sciences); K-SVD; Cluster analysis; Computational complexity theory; Pyramid (geometry); Sparse approximation; Algorithm; Mathematics","score_opus":0.050079768257722986,"score_gpt":0.35489196959465,"score_spread":0.30481220133692705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914021007","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091566663,0.000020697042,0.9766275,0.00048577535,0.00011696429,0.00050254044,0.0000015941955,0.00024760456,0.021081623],"genre_scores_gemma":[0.26491606,0.00000835148,0.7344888,0.00030529057,0.000027927332,0.000059340346,9.4199703e-7,0.0000043036057,0.00018896845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873835,0.000019712064,0.00017171145,0.00052999635,0.00025606705,0.0002841663],"domain_scores_gemma":[0.99917114,0.000254276,0.00011569251,0.00034611617,0.00006274994,0.000050014754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095309305,0.00010575289,0.00013944083,0.0001085491,0.00022142446,0.00024834007,0.0009798616,0.000038248967,0.000010832942],"category_scores_gemma":[0.000044461536,0.00008713906,0.00004618542,0.0006465626,0.000108042754,0.0007718586,0.00014011792,0.00006872223,0.00008290077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004066146,0.000014206497,0.000039428112,0.000010676113,0.0000018893737,2.8647005e-7,0.00016154344,0.000011056945,0.30297884,0.57040346,0.00040270426,0.12597182],"study_design_scores_gemma":[0.00036138916,0.00021396925,0.00049232587,0.000021403906,0.000005721859,0.000008674323,0.0004108955,0.16302039,0.6871564,0.13406162,0.013857596,0.00038963908],"about_ca_topic_score_codex":0.00000273881,"about_ca_topic_score_gemma":5.8023517e-7,"teacher_disagreement_score":0.43634185,"about_ca_system_score_codex":0.000025077039,"about_ca_system_score_gemma":0.00005880942,"threshold_uncertainty_score":0.35534278},"labels":[],"label_agreement":null},{"id":"W2914777533","doi":"10.3390/app9040639","title":"Comparative Study of Wind Turbine Placement Methods for Flat Wind Farm Layout Optimization with Irregular Boundary","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Jiangsu University; National Natural Science Foundation of China","keywords":"Wind power; Grid; Offshore wind power; Turbine; Marine engineering; Environmental science; Renewable energy; Computer science; Meteorology; Engineering; Electrical engineering; Geology; Mechanical engineering; Geography","score_opus":0.028989776827926948,"score_gpt":0.316409728603089,"score_spread":0.28741995177516205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914777533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92111623,0.00008760064,0.06621246,0.000013174736,0.000105035826,0.000985836,0.000002561806,0.000044731652,0.01143237],"genre_scores_gemma":[0.896076,0.0000022184447,0.1036983,0.000008898619,0.000016530423,0.000040318133,0.00000795093,0.0000081394555,0.00014165306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898475,0.000023304736,0.00017707242,0.00023379213,0.00032761003,0.00025347245],"domain_scores_gemma":[0.99962837,0.00009269087,0.000038311788,0.00013255572,0.000047434245,0.000060643906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005833184,0.00012443947,0.00023071114,0.000110957,0.00012828865,0.000057045017,0.00020057328,0.000026577683,0.000044168293],"category_scores_gemma":[0.0000034364807,0.00009006273,0.000015396383,0.00036977086,0.00011570531,0.000084764884,0.000039948416,0.000058291105,0.0000045489815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006148818,0.000049521295,0.0003765165,0.000023188522,0.000062391715,1.8610211e-7,0.0025045625,0.99134225,0.004319911,0.00025438817,0.00005560649,0.00095000805],"study_design_scores_gemma":[0.0054745534,0.0029692524,0.0040038098,0.00006220983,0.000051273346,0.0000032753048,0.03217178,0.8429203,0.105651945,0.00035700834,0.0055412003,0.000793381],"about_ca_topic_score_codex":0.000008050625,"about_ca_topic_score_gemma":0.000015859934,"teacher_disagreement_score":0.14842191,"about_ca_system_score_codex":0.000039093247,"about_ca_system_score_gemma":0.00008066178,"threshold_uncertainty_score":0.36726514},"labels":[],"label_agreement":null},{"id":"W2915104331","doi":"10.3390/app9040662","title":"Reliable Visual Exploration System with Fault Tolerance Structure","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Maintainability; Computer science; Fault tolerance; Artificial intelligence; Robustness (evolution); Computer vision; Semantic mapping; Visual control; Visualization; Redundancy (engineering); Distributed computing; Software engineering","score_opus":0.007114909415953205,"score_gpt":0.19646339677501773,"score_spread":0.1893484873590645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915104331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92235327,0.00003177844,0.06365922,0.0000199558,0.00026813042,0.00021655312,0.000001602204,0.00020609316,0.013243413],"genre_scores_gemma":[0.9981526,0.0000028226366,0.0017131174,0.000026503247,0.00004174734,0.000006136948,0.0000063473526,0.000009436141,0.00004128253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937177,0.0000035740281,0.0000966193,0.0001603811,0.00022291235,0.00014471641],"domain_scores_gemma":[0.99982804,0.000010590856,0.000022556917,0.00008937764,0.000021574891,0.000027856999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006682042,0.00008180087,0.00008990106,0.00004187504,0.00008906428,0.0000791874,0.0000932307,0.000037074,0.000015208627],"category_scores_gemma":[8.2288375e-7,0.000061031464,0.000007664651,0.0003181431,0.000036581616,0.00016994601,0.0000055744317,0.00004858702,0.000050400617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033106558,0.0000018205454,0.00023696022,0.000037469545,0.0000020024875,2.934382e-7,0.00010602194,0.974006,0.012495033,0.0128760245,0.00006932386,0.00016574086],"study_design_scores_gemma":[0.00019368829,0.000045406217,0.00012918463,0.000030368028,0.0000029946827,0.0000016164855,0.0007288545,0.97782093,0.020492323,0.00008521193,0.00033745493,0.00013198434],"about_ca_topic_score_codex":0.000006823216,"about_ca_topic_score_gemma":0.000009997488,"teacher_disagreement_score":0.07579935,"about_ca_system_score_codex":0.00002565334,"about_ca_system_score_gemma":0.000015355266,"threshold_uncertainty_score":0.24887909},"labels":[],"label_agreement":null},{"id":"W2918421835","doi":"10.3390/app9050922","title":"Impact of Wind Veer and the Coriolis Force for an Idealized Farm to Farm Interaction Case","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Wake; Wind gradient; Mechanics; Wind shear; Physics; Wind profile power law; Wind force; Boundary layer; Planetary boundary layer; Environmental science; Meteorology; Wind speed","score_opus":0.02350305803837282,"score_gpt":0.311528037450664,"score_spread":0.28802497941229116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918421835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898171,0.000021527283,0.00091990025,0.000021634192,0.000088617395,0.00032269506,0.000004679121,0.00001933083,0.008784507],"genre_scores_gemma":[0.9991787,0.0000057148163,0.00065455993,0.000026081083,0.000024801586,0.00003105722,0.0000018318058,0.0000049425576,0.000072327624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945736,0.000007375813,0.0001011786,0.00012192663,0.00012728946,0.0001848781],"domain_scores_gemma":[0.99968207,0.00011525972,0.00001617155,0.00009055719,0.000022037824,0.00007390236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040547625,0.00006592592,0.00010733438,0.00006452104,0.00008092865,0.000054181495,0.00011163154,0.000019391995,0.000014491563],"category_scores_gemma":[0.000015352858,0.000038413662,0.00002533292,0.0001702106,0.000076017386,0.000061440645,0.00002632465,0.000039324186,0.000004408626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001866893,0.000084281906,0.0044490374,0.00017785456,0.00027880186,0.000010605941,0.017608678,0.4945015,0.22576328,0.05663853,0.001426478,0.19719404],"study_design_scores_gemma":[0.025624407,0.0053771124,0.05427176,0.00018495518,0.000103507686,0.0007724848,0.03192275,0.6868417,0.14084767,0.022624338,0.028723823,0.0027054546],"about_ca_topic_score_codex":0.00029763498,"about_ca_topic_score_gemma":0.0001716791,"teacher_disagreement_score":0.19448858,"about_ca_system_score_codex":0.000025320482,"about_ca_system_score_gemma":0.00003025046,"threshold_uncertainty_score":0.15664636},"labels":[],"label_agreement":null},{"id":"W2918530499","doi":"10.3390/app9050902","title":"Passive Thermal Management of Tablet PCs Using Phase Change Materials: Intermittent Operation","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Intel Corporation","keywords":"Materials science; Thermal energy storage; Phase-change material; Tablet pc; Thermal; Phase change; Composite material; Computer science; Engineering; Engineering physics; Thermodynamics","score_opus":0.09785554842658488,"score_gpt":0.3347378384188248,"score_spread":0.23688228999223992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918530499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949319,0.000052316806,0.0003574694,0.000020873353,0.0004433931,0.00055249064,0.000024070408,0.000047162943,0.0035703594],"genre_scores_gemma":[0.99902683,0.00003028935,0.00071572355,0.000021845057,0.000085248554,0.000082358485,0.000008810064,0.000012311119,0.000016607202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908227,0.000017565613,0.00017993491,0.00018108344,0.0002819434,0.0002571907],"domain_scores_gemma":[0.9997506,0.000011508213,0.000037614078,0.00014915717,0.000016557664,0.000034564688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033443244,0.00010423413,0.00015570402,0.00010430944,0.000055848486,0.00009149342,0.00026919332,0.00003111014,0.00059632875],"category_scores_gemma":[0.0000010349067,0.00008718731,0.000014414485,0.00018784244,0.000084174666,0.00020528822,0.00010976212,0.00003185645,0.000078769335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012158805,0.000024703088,0.00000660522,0.00014547977,0.000015192887,0.0000026476343,0.00036218137,0.0012132142,0.9919499,0.0009216738,0.000021087293,0.0053251344],"study_design_scores_gemma":[0.00049531576,0.000052943342,0.00013455472,0.00006037551,0.0000076057077,0.0000013293165,0.00048721148,0.013582333,0.98487294,0.000048805552,0.00013245926,0.00012414911],"about_ca_topic_score_codex":0.000022076849,"about_ca_topic_score_gemma":0.000001141685,"teacher_disagreement_score":0.012369119,"about_ca_system_score_codex":0.000043374203,"about_ca_system_score_gemma":0.000008561006,"threshold_uncertainty_score":0.6529382},"labels":[],"label_agreement":null},{"id":"W2919014726","doi":"10.3390/app9050928","title":"Robust Planning of Energy and Environment Systems through Introducing Traffic Sector with Cost Minimization and Emissions Abatement under Multiple Uncertainties","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Beijing Municipal Social Science Foundation","keywords":"Stochastic programming; Fuzzy logic; Robust optimization; Environmental economics; Electricity; Renewable energy; Greenhouse gas; Computer science; Operations research; Environmental science; Engineering; Mathematical optimization; Economics","score_opus":0.026328075648475977,"score_gpt":0.21982356082513926,"score_spread":0.1934954851766633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919014726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894478,0.00043237634,0.0058982586,0.000083683684,0.000060665316,0.00016683925,0.0000061162955,0.000024106741,0.003880203],"genre_scores_gemma":[0.99767494,0.00026177263,0.0016882236,0.00005401136,0.000026053067,0.00003842709,0.00002156456,0.000011348057,0.00022366826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989595,0.000021716478,0.00022197748,0.0003456844,0.00026245276,0.00018870128],"domain_scores_gemma":[0.99957454,0.000103269,0.00013881232,0.00012645673,0.0000064650353,0.000050477756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011743481,0.00013872546,0.00017912171,0.000063324886,0.00019181975,0.00004070581,0.00007926998,0.000043275453,0.000042520212],"category_scores_gemma":[0.0000022957277,0.000103852486,0.0000121138755,0.00011241626,0.00035134482,0.00013175055,0.000018869096,0.00003399387,0.0000010604635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014176341,0.000024548253,0.0056791073,0.000030036936,0.00002263215,2.3912267e-7,0.0017488684,0.9490942,0.0043891165,0.03867598,0.000013938143,0.0003071928],"study_design_scores_gemma":[0.011352041,0.0018241134,0.1671472,0.0010912423,0.0004887725,0.00003875312,0.19131663,0.4467774,0.08944902,0.0023798116,0.08459434,0.0035406596],"about_ca_topic_score_codex":0.0005756447,"about_ca_topic_score_gemma":0.00013112667,"teacher_disagreement_score":0.5023168,"about_ca_system_score_codex":0.000024684357,"about_ca_system_score_gemma":0.000017742079,"threshold_uncertainty_score":0.42349815},"labels":[],"label_agreement":null},{"id":"W2920388989","doi":"10.3390/app9050930","title":"Wet Snow Flashover Characteristics of 500-kV AC Insulator Strings with Different Arrangements","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"China Electric Power Research Institute; National Natural Science Foundation of China; Electric Power Research Institute","keywords":"Arc flash; Snow; Insulator (electricity); Icing; Materials science; Electrical engineering; Environmental science; Composite material; Forensic engineering; Engineering; Meteorology; Physics","score_opus":0.008346399809952589,"score_gpt":0.19086454018779347,"score_spread":0.1825181403778409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920388989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98934406,0.000008908236,0.0009398333,0.00001890807,0.00017925372,0.00014645109,0.000005989045,0.0002728747,0.009083704],"genre_scores_gemma":[0.999283,0.000014457803,0.0005795505,0.000019422037,0.000017436902,0.000008992134,0.0000021634125,0.000010607361,0.00006438083],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991729,0.0000028050497,0.00015101017,0.00017802881,0.00026818382,0.00022705659],"domain_scores_gemma":[0.9996518,0.000044360175,0.000053886943,0.00020904644,0.000015132072,0.000025786745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106505235,0.00012902317,0.0002035425,0.000101966034,0.000051905077,0.000033687193,0.00029089602,0.00005231699,0.000024070643],"category_scores_gemma":[0.00000991757,0.0000902282,0.000018074956,0.00024504703,0.0001483807,0.0000608771,0.000056090674,0.0000986151,0.000036946192],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000122816,0.00025446468,0.6225519,0.0010491018,0.0002764647,0.0000065799286,0.0032615834,0.011354258,0.20589676,0.037124306,0.0020356795,0.11606609],"study_design_scores_gemma":[0.0010575944,0.00042787785,0.30522522,0.00028859015,0.000042656346,0.000003112447,0.0015212263,0.00816736,0.67968476,0.0012054836,0.0016464696,0.0007296302],"about_ca_topic_score_codex":0.0000062405534,"about_ca_topic_score_gemma":0.0000029484333,"teacher_disagreement_score":0.47378802,"about_ca_system_score_codex":0.000022427364,"about_ca_system_score_gemma":0.000011668869,"threshold_uncertainty_score":0.3679399},"labels":[],"label_agreement":null},{"id":"W2920822443","doi":"10.3390/app9050994","title":"Experimental and Numerical Study of Engineered Cementitious Composite with Strain Recovery under Impact Loading","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Composite material; Shape-memory alloy; SMA*; Impact resistance; Polyvinyl alcohol; Computer science","score_opus":0.013302736089680868,"score_gpt":0.24898635230357402,"score_spread":0.23568361621389317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920822443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99101734,0.000022731088,0.003424707,0.0000017114593,0.000076703065,0.00038808273,0.000007350626,0.000050523304,0.0050108307],"genre_scores_gemma":[0.99954444,5.458246e-7,0.00039444142,0.000011560508,0.000011644586,0.000014665924,0.0000035987887,0.000010270781,0.00000881724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992603,0.000008585162,0.00017457426,0.0001558864,0.00021604088,0.00018460066],"domain_scores_gemma":[0.99979687,0.00003125314,0.000042445976,0.000087008164,0.000013810098,0.000028644208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016895251,0.00012391563,0.00018978181,0.00009884858,0.000046304503,0.000062157815,0.00010374355,0.0000194916,0.00014503603],"category_scores_gemma":[9.0116635e-7,0.00009548943,0.0000113026945,0.00025072967,0.00006827056,0.00015020721,0.000032185,0.00004008372,0.0000081516155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017335327,0.000014711694,0.0006415665,0.00001354648,0.00004891198,3.5820727e-7,0.00048727554,0.057989206,0.9397569,0.0009799381,0.0000058896403,0.000044364206],"study_design_scores_gemma":[0.0018069047,0.0019160833,0.0048364974,0.000035844674,0.00001908235,0.000005028332,0.0072314898,0.015989624,0.9676758,0.000061997824,0.000009845379,0.0004118263],"about_ca_topic_score_codex":0.000014876199,"about_ca_topic_score_gemma":1.9611967e-7,"teacher_disagreement_score":0.041999582,"about_ca_system_score_codex":0.000039939656,"about_ca_system_score_gemma":0.000012492641,"threshold_uncertainty_score":0.38939458},"labels":[],"label_agreement":null},{"id":"W2921018371","doi":"10.3390/app9061106","title":"Development of a Vibroacoustic Stochastic Finite Element Prediction Tool for a CLT Floor","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Cross laminated timber; Vibration; Finite element method; Computer science; Calibration; Structural engineering; Acoustics; Moduli; Soundproofing; Engineering; Mathematics; Physics; Statistics","score_opus":0.06562639390327185,"score_gpt":0.30236191784394173,"score_spread":0.23673552394066988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921018371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12046714,0.000021902833,0.87733734,0.00002856872,0.0003950321,0.00075925235,0.000017638,0.00003861262,0.00093449315],"genre_scores_gemma":[0.8657854,3.6224515e-7,0.13370475,0.000031881347,0.000035700083,0.00013227355,0.0000027671124,0.000005772009,0.00030107767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730355,0.000016626911,0.0006933224,0.00051406777,0.001162424,0.00031000248],"domain_scores_gemma":[0.998199,0.0011143311,0.00020046563,0.00028731275,0.00013714594,0.00006174965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003636299,0.00013432707,0.00025746558,0.00023178183,0.000214601,0.000088334935,0.0006579341,0.000053248543,0.00015499165],"category_scores_gemma":[0.00078337867,0.000092198,0.00005621294,0.00071789214,0.00016490946,0.00011838867,0.000089308174,0.000056191617,0.00016875494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007357607,0.000098635806,0.00017785457,0.000055907512,0.000024031087,1.6497349e-7,0.0015719469,0.9254033,0.02278516,0.023147427,0.00076260295,0.025899388],"study_design_scores_gemma":[0.00119812,0.00036660573,0.0030600876,0.00007583105,0.00003656036,0.0000023215582,0.0022641795,0.9592154,0.004519079,0.025443902,0.0033870311,0.00043088396],"about_ca_topic_score_codex":9.517911e-7,"about_ca_topic_score_gemma":0.000001299022,"teacher_disagreement_score":0.7453183,"about_ca_system_score_codex":0.000040440846,"about_ca_system_score_gemma":0.00032969858,"threshold_uncertainty_score":0.37597254},"labels":[],"label_agreement":null},{"id":"W2921099479","doi":"10.3390/app9061111","title":"Identification of Coal Geographical Origin Using Near Infrared Sensor Based on Broad Learning","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation","keywords":"Coal; Near-infrared spectroscopy; Particle swarm optimization; Computer science; Identification (biology); Pattern recognition (psychology); Data mining; Artificial intelligence; Biological system; Process engineering; Machine learning; Engineering; Physics; Ecology; Biology; Waste management","score_opus":0.021116047839219478,"score_gpt":0.29395002612386595,"score_spread":0.27283397828464645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921099479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98018223,0.000017435103,0.00056719914,0.00002319805,0.00003108307,0.000044413813,0.0000027902033,0.000040942337,0.019090714],"genre_scores_gemma":[0.99876094,0.000002296026,0.0008630865,0.000045384728,0.00002567033,0.0000030974406,0.0000051589373,0.0000058150554,0.00028857312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988173,0.00001066156,0.00022870033,0.00031483316,0.00043066771,0.00019783054],"domain_scores_gemma":[0.9994,0.0001567055,0.00018529873,0.0001848643,0.00003095559,0.000042143187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029306224,0.00009810334,0.00016930464,0.0001670654,0.00020330658,0.00007903401,0.00024114884,0.0000763646,0.0006662452],"category_scores_gemma":[0.000051529292,0.00008645954,0.000060323346,0.0010223404,0.00032514852,0.00005724387,0.00002261163,0.00015749704,0.00004234717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024927842,0.0000627604,0.08696863,0.000038987877,0.00001434871,2.700313e-7,0.00005975496,0.048890967,0.863246,0.00054500333,0.000017478242,0.0001308737],"study_design_scores_gemma":[0.00039173767,0.000050045768,0.0026422988,0.000017939832,0.000055282086,9.03661e-7,0.0011099065,0.20987281,0.7849759,0.0001983264,0.00047239964,0.00021248177],"about_ca_topic_score_codex":0.000042253658,"about_ca_topic_score_gemma":4.6771933e-7,"teacher_disagreement_score":0.16098185,"about_ca_system_score_codex":0.000024230641,"about_ca_system_score_gemma":0.00007585707,"threshold_uncertainty_score":0.7294918},"labels":[],"label_agreement":null},{"id":"W2921397506","doi":"10.3390/app9061142","title":"Design and Kinematic Control of the Cable-Driven Hyper-Redundant Manipulator for Potential Underwater Applications","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Kinematics; Underwater; Robot end effector; Joint (building); Computer science; Control theory (sociology); Engineering; Control engineering; Robot; Artificial intelligence; Structural engineering; Control (management); Geology; Physics","score_opus":0.015220497344610926,"score_gpt":0.21243129422600526,"score_spread":0.19721079688139434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921397506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04094083,0.000051128074,0.95661587,0.00019473804,0.00005746869,0.0015182878,0.0000057538077,0.00003995787,0.00057598983],"genre_scores_gemma":[0.97198015,0.0000041590533,0.027589375,0.000036715905,0.000019122983,0.0003204512,9.2498544e-7,0.00000835028,0.00004073894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994861,0.000004737699,0.00013408432,0.00013489537,0.000106766536,0.00013345273],"domain_scores_gemma":[0.99965966,0.000103067796,0.000034898432,0.00015930446,0.000016970904,0.000026075135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012376894,0.00007024292,0.00010710684,0.00002660834,0.0001369575,0.00003412545,0.00020438802,0.00002710781,0.000012222368],"category_scores_gemma":[0.0000013907056,0.000047076457,0.00002535019,0.00013701324,0.00012219988,0.00002885273,0.000019813106,0.0000321167,0.000010414004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013841083,0.000009563571,0.00015902636,0.000040768005,0.000010291461,6.5124532e-9,0.000052041716,0.8536428,0.124814056,0.020948492,0.000079599275,0.00024194024],"study_design_scores_gemma":[0.00039053377,0.000018543458,0.00070297363,0.000009720897,0.000038873808,0.000002250079,0.00012792867,0.9825054,0.008827849,0.0065270546,0.0007299741,0.00011894082],"about_ca_topic_score_codex":0.00000332856,"about_ca_topic_score_gemma":9.4889003e-7,"teacher_disagreement_score":0.93103933,"about_ca_system_score_codex":0.000008318818,"about_ca_system_score_gemma":0.00001745591,"threshold_uncertainty_score":0.19197223},"labels":[],"label_agreement":null},{"id":"W2921682991","doi":"10.3390/app9061052","title":"A Multi–Level Approach for Simulation of Storage and Respiration of Produce","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Stack (abstract data type); Airflow; Simulation; Mechanical engineering; Engineering","score_opus":0.13438486785689327,"score_gpt":0.29443541610332896,"score_spread":0.1600505482464357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921682991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99623203,0.000021049074,0.0020747741,0.00010408515,0.000019613972,0.00055081816,0.000016229576,0.000007891595,0.0009734922],"genre_scores_gemma":[0.99424326,0.0000014220807,0.0055411616,0.00005028626,0.000019774372,0.00001519425,0.000010610718,2.3624517e-7,0.00011804478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99934834,0.000022040918,0.00016292423,0.00021114,0.00016619584,0.000089359106],"domain_scores_gemma":[0.9996476,0.00014528626,0.00012198792,0.000035098637,0.000032659824,0.000017352257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008947358,0.000049023212,0.000106912725,0.0000137699835,0.00007427732,0.000017989223,0.00012453982,0.000026755473,0.000008048477],"category_scores_gemma":[0.000035163423,0.000019770034,0.000020442085,0.00021670849,0.00011105358,0.000093783216,0.00003517648,0.000017361122,8.829742e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006193138,0.00017469256,0.006599225,0.0001322452,0.000007729715,1.6086823e-8,0.00042445763,0.010799216,0.9427648,0.013839142,0.000020649339,0.025175884],"study_design_scores_gemma":[0.00093229814,0.0011419056,0.6782498,0.000036208094,0.00002842539,3.523427e-7,0.0027501946,0.22452274,0.08607277,0.002017829,0.0038153292,0.0004321707],"about_ca_topic_score_codex":0.000036051282,"about_ca_topic_score_gemma":0.00001864047,"teacher_disagreement_score":0.856692,"about_ca_system_score_codex":0.0000030946824,"about_ca_system_score_gemma":0.000004811891,"threshold_uncertainty_score":0.08061986},"labels":[],"label_agreement":null},{"id":"W2922203076","doi":"10.3390/app9050958","title":"Nonlinear Metasurface for Structured Light with Tunable Orbital Angular Momentum","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of Naval Research","keywords":"Chalcogenide; Optics; Angular momentum; Beam (structure); Gaussian beam; Materials science; Femtosecond; Optoelectronics; Physics; Quantum mechanics","score_opus":0.006668426032723585,"score_gpt":0.21991309811682655,"score_spread":0.21324467208410297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922203076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95926374,0.000047476977,0.0019824996,0.00020101742,0.00019910578,0.0007182483,0.000046666926,0.000035884517,0.03750536],"genre_scores_gemma":[0.97415656,1.8108545e-7,0.023739053,0.0000342084,0.00011342561,0.000051078405,0.0000244637,0.000016901144,0.00186411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987003,0.000007147733,0.00016141396,0.00040228685,0.00033243914,0.00039640992],"domain_scores_gemma":[0.99951196,0.000038100094,0.000100628924,0.0002308659,0.000043667034,0.00007480695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021380125,0.00017658541,0.00021382941,0.00004982925,0.00020591711,0.00013819085,0.000333981,0.000026243686,0.00035188804],"category_scores_gemma":[0.0000014995562,0.00012504567,0.000059980262,0.00031044564,0.00013491948,0.00017414993,0.00006898084,0.00007788699,0.000104730425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011826694,0.00038366352,0.01666246,0.000087904475,0.00033245166,0.0000026397777,0.0011005162,0.004195972,0.25928912,0.71468157,0.0018728417,0.0012725759],"study_design_scores_gemma":[0.0032414813,0.00122401,0.000505756,0.000040180832,0.0001748812,0.0000048856596,0.008174294,0.00854309,0.84064317,0.080899574,0.055079672,0.0014689891],"about_ca_topic_score_codex":0.000019228111,"about_ca_topic_score_gemma":0.0000017603909,"teacher_disagreement_score":0.633782,"about_ca_system_score_codex":0.000016079872,"about_ca_system_score_gemma":0.00007644779,"threshold_uncertainty_score":0.50992143},"labels":[],"label_agreement":null},{"id":"W2922235965","doi":"10.3390/app9061082","title":"Reception of OAM Radio Waves Using Pseudo-Doppler Interpolation Techniques: A Frequency-Domain Approach","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Physics; Optics; Doppler effect; MIMO; Acoustics; Antenna (radio); Computer science; Telecommunications; Beamforming","score_opus":0.015620286029008595,"score_gpt":0.24891988928130476,"score_spread":0.23329960325229618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922235965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8334866,0.000010036526,0.036949262,0.000019609917,0.000088717745,0.00035932165,0.000006371965,0.000028436742,0.12905161],"genre_scores_gemma":[0.8227645,4.7673896e-7,0.17704777,0.000010959193,0.00007706146,0.000015429318,0.000010542033,0.00000740296,0.00006586355],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990307,0.000021168287,0.00022786448,0.00027471743,0.00025310388,0.00019240951],"domain_scores_gemma":[0.9995705,0.000023540062,0.0001678481,0.0001781284,0.000027788117,0.00003220894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820637,0.0001155283,0.00015695019,0.000102839345,0.00009386683,0.00004740452,0.00023355923,0.000035385383,0.0002419674],"category_scores_gemma":[0.0000015020278,0.00009880981,0.000053670574,0.00034782398,0.00022679508,0.00019923545,0.00006263711,0.00008620626,0.000024948007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000571359,0.00010365089,0.0141123235,0.00002358066,0.000018007171,4.7262652e-8,0.0009880655,0.00012569355,0.6518753,0.33071736,0.00005938253,0.0019708732],"study_design_scores_gemma":[0.0012402238,0.00059895555,0.0033098017,0.00023450438,0.00009309834,0.000013027213,0.032415967,0.07566646,0.27164578,0.6126123,0.00056341843,0.0016064342],"about_ca_topic_score_codex":0.00006911226,"about_ca_topic_score_gemma":4.6043664e-7,"teacher_disagreement_score":0.3802295,"about_ca_system_score_codex":0.000027691578,"about_ca_system_score_gemma":0.00005210985,"threshold_uncertainty_score":0.4029347},"labels":[],"label_agreement":null},{"id":"W2923926185","doi":"10.3390/app9061198","title":"Analysis and Design of A PMQR-Type Repetitive Control Scheme for Grid-Connected H6 Inverters","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China; Jiangxi Provincial Department of Science and Technology; National Science Foundation","keywords":"Repetitive control; Control theory (sociology); Harmonics; Controller (irrigation); Grid; Computer science; Compensation (psychology); Inverter; Transient (computer programming); Three-phase; Control (management); Control system; Engineering; Mathematics; Voltage; Electrical engineering","score_opus":0.007963007620328935,"score_gpt":0.19342419996660354,"score_spread":0.18546119234627462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923926185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29340112,0.0005457053,0.7033162,0.00006496242,0.00020398386,0.0010585431,0.00002101558,0.00012231013,0.0012661542],"genre_scores_gemma":[0.9897346,0.00003779255,0.01011216,0.000056914636,0.000015624431,0.000022740966,0.000004833875,0.0000046896653,0.000010656375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994706,0.000008741935,0.00013065057,0.00016930433,0.00008622334,0.00013451389],"domain_scores_gemma":[0.9996539,0.00015105118,0.000040966224,0.0000813927,0.000044334567,0.000028365603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025468977,0.00007374587,0.00019013986,0.00013751263,0.000042450407,0.000026072692,0.00009322117,0.00003398777,0.0000288344],"category_scores_gemma":[0.000020505846,0.00006269263,0.000030960415,0.0005880517,0.00007606064,0.00006943977,0.000007385411,0.000026690248,0.0000036479496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012210823,0.000015824411,0.008834425,0.000056122328,0.00048760205,2.1549087e-7,0.00046602127,0.67288166,0.3095376,0.001982833,0.0001698707,0.005445696],"study_design_scores_gemma":[0.0006115628,0.000061802624,0.0015189941,0.0000046424875,0.000100392455,2.3189946e-7,0.000105165724,0.99054897,0.0067602615,0.00013443889,0.000056300487,0.000097218464],"about_ca_topic_score_codex":0.000008232461,"about_ca_topic_score_gemma":0.0000058160767,"teacher_disagreement_score":0.69633347,"about_ca_system_score_codex":0.0000079923775,"about_ca_system_score_gemma":0.000016556587,"threshold_uncertainty_score":0.2556531},"labels":[],"label_agreement":null},{"id":"W2928006388","doi":"10.3390/app9071396","title":"Multiple Correspondence Analysis of Emergencies Attended by Integrated Security Services","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Categorical variable; Emergency response; Emergency management; Event (particle physics); Resource (disambiguation); Data science; Operations research; Machine learning; Medical emergency; Engineering; Medicine","score_opus":0.007336740000711961,"score_gpt":0.24875617893294247,"score_spread":0.2414194389322305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928006388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98474485,0.000045686334,0.0024387785,0.000021424987,0.00003912641,0.00015893581,0.000053718763,0.000050396295,0.012447105],"genre_scores_gemma":[0.9990354,0.0000025657134,0.0006308697,0.000029936224,0.00001542944,0.000018733537,0.00008150086,0.0000045605175,0.00018100707],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863803,0.000038742422,0.00030847263,0.00040347487,0.00036625966,0.00024498737],"domain_scores_gemma":[0.99917233,0.00014771144,0.0002377694,0.00031318655,0.00008023389,0.00004875151],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004287752,0.00014980727,0.00038701907,0.00026823254,0.00012423568,0.000049742815,0.000643996,0.000028169741,0.002179912],"category_scores_gemma":[0.0000020874593,0.00012182031,0.00016354851,0.0032319415,0.00020565896,0.00012599706,0.000121723904,0.00009132494,0.000035442594],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021764848,0.00013990466,0.8991027,0.000011692938,0.0006037009,8.890851e-8,0.0008912205,0.0015415396,0.07730219,0.016347066,0.0016842447,0.0023539138],"study_design_scores_gemma":[0.0007272067,0.00021928051,0.06122237,0.000060679075,0.0017886667,1.9809674e-7,0.024245502,0.69000596,0.18835041,0.021221573,0.010716182,0.0014419632],"about_ca_topic_score_codex":0.0014127332,"about_ca_topic_score_gemma":0.00024863635,"teacher_disagreement_score":0.8378803,"about_ca_system_score_codex":0.000010725214,"about_ca_system_score_gemma":0.00003544653,"threshold_uncertainty_score":0.9987322},"labels":[],"label_agreement":null},{"id":"W2928674841","doi":"10.3390/app9071341","title":"CFD-Based Comparison Study of a New Flow Diverting Stent and Commercially-Available Ones for the Treatment of Cerebral Aneurysms","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Royal University Hospital","funders":"Agencia Estatal de Investigación; Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina; Saskatchewan Health Research Foundation","keywords":"Stent; Shear stress; Computational fluid dynamics; Aneurysm; Occlusion; Subarachnoid hemorrhage; Blood flow; Biomedical engineering; Medicine; Materials science; Surgery; Radiology; Mechanics; Composite material; Physics","score_opus":0.06824483814323115,"score_gpt":0.3056699998266172,"score_spread":0.23742516168338604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928674841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962242,0.00015064562,0.00014357195,0.00064614485,0.000046689922,0.0018315418,0.000005777853,0.000013481405,0.00093790836],"genre_scores_gemma":[0.99814004,0.0000059744334,0.0013849626,0.00006202478,0.000031208343,0.00007417942,0.0000044711173,0.000004658602,0.00029247717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991814,0.000011727115,0.00023279605,0.0002171334,0.00021120037,0.00014575964],"domain_scores_gemma":[0.99934304,0.00024916112,0.00012682984,0.00019461621,0.000043280197,0.00004307997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011357012,0.00010293635,0.0002848081,0.000046084988,0.00021324407,0.00001689464,0.000116198185,0.000019975578,0.000051822302],"category_scores_gemma":[0.000004941457,0.000057835787,0.00004744793,0.00018050602,0.00013859803,0.000025165162,0.000017032437,0.000025131685,0.000007393043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011805337,0.008355615,0.89905304,0.00012733333,0.00023152938,0.0000015252821,0.012492633,0.0013773083,0.026754638,0.003501628,0.00063132535,0.04629289],"study_design_scores_gemma":[0.035043124,0.056984466,0.6278659,0.00015661663,0.0022857466,0.00002033605,0.03961572,0.13293904,0.09971082,0.0008361956,0.003823888,0.000718152],"about_ca_topic_score_codex":0.0005954434,"about_ca_topic_score_gemma":0.00017611559,"teacher_disagreement_score":0.27118716,"about_ca_system_score_codex":0.000015884896,"about_ca_system_score_gemma":0.00008041873,"threshold_uncertainty_score":0.23584749},"labels":[],"label_agreement":null},{"id":"W2930650313","doi":"10.3390/app9071345","title":"Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":586,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Youth Innovation Promotion Association; National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Wavelet transform; Wavelet; Series (stratigraphy); Discrete wavelet transform; Computer science; Selection (genetic algorithm); Interpretation (philosophy); Explosive material; Mathematics; Algorithm; Pattern recognition (psychology); Artificial intelligence; Geology; Geography; Archaeology","score_opus":0.03455869314376013,"score_gpt":0.30903707462065977,"score_spread":0.2744783814768996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930650313","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.1255306e-7,0.8511339,0.14006746,0.00018945023,0.00004149797,0.0018682533,0.000023183067,0.00004669145,0.0066294605],"genre_scores_gemma":[0.000011895542,0.9730122,0.025134033,0.00014285975,0.000045064407,0.0009835458,0.0001794953,0.000014196715,0.00047668797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99688536,0.000045064207,0.0009942998,0.0011194813,0.0004958988,0.00045987763],"domain_scores_gemma":[0.99829984,0.00025722897,0.0006206348,0.0006853769,0.00006651382,0.000070436705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017571382,0.0003887144,0.0019977025,0.0006493408,0.00025746113,0.00019433023,0.0019369063,0.00013693805,0.00003252917],"category_scores_gemma":[0.000017617856,0.00029309734,0.0007604221,0.006244387,0.00014562781,0.00051537313,0.00013453375,0.00016776305,0.00017939527],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.494915e-7,0.000016820863,5.024933e-7,0.006423263,0.00012813271,4.0145108e-7,0.00005360762,0.000055016466,6.199143e-7,0.013134869,0.00023392292,0.9799521],"study_design_scores_gemma":[0.000078535755,0.00005976545,0.0000037472976,0.0034392679,0.0016008393,0.000005436066,0.00002272793,0.018870922,0.0000015690916,0.001162671,0.9742098,0.0005447352],"about_ca_topic_score_codex":0.000014142652,"about_ca_topic_score_gemma":0.000028431954,"teacher_disagreement_score":0.97940737,"about_ca_system_score_codex":0.00007193212,"about_ca_system_score_gemma":0.0003472149,"threshold_uncertainty_score":0.99995214},"labels":[],"label_agreement":null},{"id":"W2931579121","doi":"10.3390/app9071427","title":"Recent Advances in Ultrafast Structural Techniques","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Ultrashort pulse; Ultrafast electron diffraction; Femtosecond; Laser; Temporal resolution; Electron; Optics; Engineering physics; Materials science; Nanotechnology; Physics; Computer science; Nuclear physics","score_opus":0.005465736191700374,"score_gpt":0.31416128918997616,"score_spread":0.3086955529982758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931579121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96101373,0.00208772,0.002492807,0.00016835738,0.000039723043,0.00049780734,0.0000049124687,0.00005500158,0.033639956],"genre_scores_gemma":[0.9857733,0.0033545452,0.010353566,0.00025009175,0.000038002705,0.00007867862,0.000016473337,0.000007095033,0.000128238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992125,0.000007051663,0.00012236711,0.0003435642,0.000088272325,0.00022621578],"domain_scores_gemma":[0.99973387,0.000005786931,0.000048597685,0.00017011579,0.000016618153,0.000025040888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012310175,0.00009266775,0.00008198178,0.000039685063,0.00007386913,0.000017914957,0.00025572267,0.00005368015,0.00003383416],"category_scores_gemma":[0.0000044966873,0.00007908305,0.000018009465,0.00024139302,0.00014210353,0.000008635265,0.000046641268,0.000067042165,0.000010515967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008488926,0.0000075308003,0.0013571176,0.0000023921998,6.6937844e-7,5.1680576e-8,0.000008115926,0.000058351357,0.94271505,0.00449182,0.000054047217,0.051296357],"study_design_scores_gemma":[0.000060374394,0.000086069114,0.00026579146,0.0000034308305,5.9725534e-7,0.0000022425595,0.000053284977,0.000011697161,0.7929977,0.0021094251,0.20430176,0.00010763401],"about_ca_topic_score_codex":0.0000016597623,"about_ca_topic_score_gemma":0.000022173574,"teacher_disagreement_score":0.20424771,"about_ca_system_score_codex":0.000012812151,"about_ca_system_score_gemma":0.000037306992,"threshold_uncertainty_score":0.32249132},"labels":[],"label_agreement":null},{"id":"W2937510224","doi":"10.3390/app9071505","title":"Discrimination between Modal, Breathy and Pressed Voice for Single Vowels Using Neck-Surface Vibration Signals","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health; Foundation for the National Institutes of Health","keywords":"Breathy voice; Speech recognition; Categorization; Computer science; Microphone; Modal; Feature (linguistics); Pattern recognition (psychology); Artificial intelligence; Phonation; Audiology; Sound pressure","score_opus":0.056145397321084485,"score_gpt":0.310662029284943,"score_spread":0.25451663196385854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937510224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98703855,0.00009554227,0.0066443277,0.00074756326,0.000046293695,0.00085435197,0.0000067119818,0.000034043842,0.004532641],"genre_scores_gemma":[0.9924536,0.0000056057256,0.0070538437,0.00024078753,0.000060075137,0.000009817218,0.000016739401,0.000008976244,0.00015057421],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904716,0.000010658686,0.00015779898,0.00031324825,0.00026853403,0.0002026203],"domain_scores_gemma":[0.9995686,0.00013301635,0.00008316287,0.000108364526,0.000046609744,0.00006029361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030305207,0.00010153997,0.00018109493,0.00005951599,0.00019011949,0.00008985149,0.00008243956,0.00006044375,0.000016884365],"category_scores_gemma":[0.000028321632,0.000082721555,0.000028459446,0.00020889119,0.00012272681,0.00029785553,0.000024215922,0.000045739474,0.000010673971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036590383,0.00005715167,0.011137672,0.00010455403,0.000014717798,2.0724532e-7,0.0009086694,0.0011468077,0.9834869,0.0005350418,0.000081429265,0.0024902725],"study_design_scores_gemma":[0.005721406,0.0021881515,0.11417013,0.00033745295,0.0005817607,0.000016059668,0.0101155,0.07669496,0.77629536,0.011440094,0.0014805559,0.0009585668],"about_ca_topic_score_codex":0.00004113666,"about_ca_topic_score_gemma":0.0000066649277,"teacher_disagreement_score":0.20719151,"about_ca_system_score_codex":0.000019673707,"about_ca_system_score_gemma":0.000060602863,"threshold_uncertainty_score":0.3373287},"labels":[],"label_agreement":null},{"id":"W2938452214","doi":"10.3390/app9081540","title":"Selection of Diagnostic Symptoms and Injection Subsystems of Marine Reciprocating Internal Combustion Engines","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technical Engine Diagnostics and Monitoring","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Independent Electricity System Operator","keywords":"Reciprocating motion; Reliability (semiconductor); Selection (genetic algorithm); Scope (computer science); Combustion; Computer science; Diagnostic test; Internal combustion engine; Residual; Engineering; Automotive engineering; Artificial intelligence; Chemistry; Physics; Algorithm","score_opus":0.005541164497149192,"score_gpt":0.20858267542519135,"score_spread":0.20304151092804215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938452214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464685,0.000057180136,0.0031166384,0.000002587333,0.00034692674,0.00013761343,8.565219e-7,0.000074214644,0.0016171585],"genre_scores_gemma":[0.99923366,0.000043044172,0.00064963324,9.1766645e-7,0.000045435274,0.00001335678,0.0000010530956,0.000006602966,0.000006298512],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994691,0.0000043644027,0.00019248472,0.00010911092,0.00012584231,0.000099115685],"domain_scores_gemma":[0.9994856,0.00035948108,0.000053507818,0.00005176923,0.000028309649,0.000021308153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021311735,0.00006803338,0.00012591145,0.00010103566,0.000024213918,0.0000120038785,0.000074264906,0.000038320366,0.0000056099525],"category_scores_gemma":[0.000106333595,0.00006285792,0.00001403179,0.00027875984,0.00004537985,0.000063186126,0.000029046687,0.00006830759,0.0000013552768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008499779,0.00003877265,0.25248483,0.00060617196,0.00003197299,2.2638368e-7,0.00024271387,0.33121607,0.3379278,0.011454532,0.000025555015,0.06596288],"study_design_scores_gemma":[0.00064773124,0.00074535346,0.16970459,0.00059373054,0.000044158296,0.000019909583,0.00044971376,0.28319684,0.54320395,0.00085150934,0.00012154645,0.0004209493],"about_ca_topic_score_codex":0.000055118704,"about_ca_topic_score_gemma":0.000006533647,"teacher_disagreement_score":0.20527618,"about_ca_system_score_codex":0.000015135773,"about_ca_system_score_gemma":0.0000062408194,"threshold_uncertainty_score":0.25632718},"labels":[],"label_agreement":null},{"id":"W2940557726","doi":"10.3390/app9081713","title":"Current Biomedical Applications of 3D Printing and Additive Manufacturing","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":304,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"McGill University Health Centre; Réseau de Recherche en Santé Buccodentaire et Osseuse; McGill University","keywords":"3D printing; Nanotechnology; Computer science; Engineering; Manufacturing engineering; Materials science; Mechanical engineering","score_opus":0.014161117520517621,"score_gpt":0.28265029434580163,"score_spread":0.268489176825284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940557726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619883,0.00022392452,0.011875538,0.000041557378,0.00013896477,0.00039810524,0.000006932178,0.00011973917,0.025206963],"genre_scores_gemma":[0.9957298,0.00007303029,0.0040817535,0.0000053709728,0.000045893248,0.00004525271,0.0000022543873,0.000005995386,0.000010648164],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989742,0.000006955801,0.00016301716,0.00020701472,0.0004080683,0.0002407396],"domain_scores_gemma":[0.99952716,0.00022728347,0.000027964328,0.0001175991,0.000012775305,0.00008723836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004905666,0.000072195726,0.000109196866,0.00014043498,0.00006568421,0.000026038635,0.0002618923,0.000037372603,0.00012765445],"category_scores_gemma":[0.000022938942,0.000060438553,0.000013058011,0.0002981977,0.0004998834,0.000045300978,0.00014050853,0.00016158297,0.00007653848],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014992916,0.000027006132,0.0012076844,0.00023496695,0.000012260659,2.0667584e-7,0.0002286317,0.00013384223,0.02698811,0.007247571,0.0001262879,0.9637919],"study_design_scores_gemma":[0.001207155,0.0001749618,0.059353836,0.00042639632,0.000027837943,0.0000123933205,0.001501051,0.056113012,0.6073245,0.010930197,0.26185253,0.0010761588],"about_ca_topic_score_codex":0.0000031637046,"about_ca_topic_score_gemma":4.6645806e-7,"teacher_disagreement_score":0.96271574,"about_ca_system_score_codex":0.0000151163285,"about_ca_system_score_gemma":0.000025976495,"threshold_uncertainty_score":0.24646126},"labels":[],"label_agreement":null},{"id":"W2940781845","doi":"10.3390/app9091736","title":"Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":559,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Blockchain; Health care; Healthcare industry; Emerging technologies; Data science; Business; Open research; Computer science; Knowledge management; Political science; Computer security; World Wide Web","score_opus":0.11153817312645396,"score_gpt":0.4142194101201445,"score_spread":0.30268123699369054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940781845","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000022435984,0.9723027,0.000516167,0.022447865,0.00014078901,0.0041577104,0.000015988138,0.0001933222,0.00022322946],"genre_scores_gemma":[0.00003881448,0.9857396,0.0099092135,0.00042156954,0.00005155187,0.0037856256,0.000004509404,0.000013220063,0.000035887377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969195,0.0001577579,0.00056689413,0.0013719563,0.00030198356,0.00068191125],"domain_scores_gemma":[0.99779636,0.0006727151,0.00024625694,0.0010365816,0.0001725607,0.000075506585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020603149,0.00030957808,0.0014092088,0.001431978,0.00068683515,0.000082850645,0.0024105373,0.00063117815,0.0000014115142],"category_scores_gemma":[0.00005220307,0.00024868877,0.00010736445,0.0071048113,0.0009791644,0.00004568269,0.0008082898,0.0010990395,0.000028131059],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.4448372e-7,0.000018497421,7.388242e-7,0.0067433743,0.0000062529302,4.1204865e-7,0.0000178533,6.003117e-8,2.5052745e-7,0.4571502,0.00038687664,0.53567535],"study_design_scores_gemma":[0.00007364485,0.00007193931,0.0000012066591,0.0021691432,0.000036750713,0.000042467764,0.000055985496,0.00006776251,0.0000012030728,0.051085595,0.94615716,0.0002371331],"about_ca_topic_score_codex":0.00002784808,"about_ca_topic_score_gemma":0.000041982858,"teacher_disagreement_score":0.94577026,"about_ca_system_score_codex":0.00009484899,"about_ca_system_score_gemma":0.00055036566,"threshold_uncertainty_score":0.99999654},"labels":[],"label_agreement":null},{"id":"W2940822050","doi":"10.3390/app9081629","title":"Tribological Capabilities of Graphene and Titanium Dioxide Nano Additives in Solid and Liquid Base Lubricants","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Lubricant; Grease; Base oil; Tribology; Titanium dioxide; Nano-; Scanning electron microscope; Graphene; Raman spectroscopy; Composite material; Liquid paraffin; Dry lubricant; Metallurgy; Chemical engineering; Nanotechnology","score_opus":0.009354486470994816,"score_gpt":0.21178560721027984,"score_spread":0.20243112073928501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940822050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884,0.00030578487,0.0000378345,0.000025005374,0.000051832158,0.00014167391,0.000043102515,0.00003258188,0.010962178],"genre_scores_gemma":[0.99940634,0.00018408627,0.0003341251,0.000020945745,0.000012242398,0.000015153749,0.0000013465611,0.0000053604053,0.000020394897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992727,0.000012762518,0.00015672662,0.00021962111,0.00012558342,0.00021258212],"domain_scores_gemma":[0.9995978,0.00023548753,0.000027371067,0.00007853719,0.000010178313,0.000050609608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023264428,0.00010514508,0.00022255708,0.00010578453,0.000039629813,0.000017726936,0.0001055029,0.00003753542,0.00008409902],"category_scores_gemma":[0.000019536154,0.00007809827,0.000016966835,0.00024212485,0.0006394959,0.00011595704,0.00004836007,0.0000591556,0.0000031777395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120028424,0.00011085306,0.01720304,0.0002009943,0.00005088322,0.0000072980683,0.0038967247,0.0008093696,0.90606004,0.06599478,0.0002044037,0.0053416],"study_design_scores_gemma":[0.001723265,0.0010758756,0.16424532,0.00021085999,0.000021931224,0.000032010597,0.020153392,0.0041486956,0.7946637,0.011985405,0.0007666139,0.00097287644],"about_ca_topic_score_codex":0.000024215398,"about_ca_topic_score_gemma":0.000020177833,"teacher_disagreement_score":0.14704227,"about_ca_system_score_codex":0.00000828792,"about_ca_system_score_gemma":0.000014358814,"threshold_uncertainty_score":0.31847548},"labels":[],"label_agreement":null},{"id":"W2942095661","doi":"10.3390/app9081627","title":"Edible Oils as Practical Phase Change Materials for Thermal Energy Storage","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Coconut oil; Materials science; Supercooling; Phase change; Thermal; Latent heat; Environmental science; Pulp and paper industry; Chemistry; Thermodynamics; Food science; Meteorology; Engineering; Geography","score_opus":0.09737598452216462,"score_gpt":0.3656262348204265,"score_spread":0.2682502502982619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942095661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764243,0.00007904347,0.0011040573,0.00017683812,0.00090017123,0.00055104925,0.00005977314,0.00018055308,0.020524226],"genre_scores_gemma":[0.99748164,0.000025371839,0.00106892,0.0001659785,0.0006027927,0.00052819005,0.000014566003,0.000026343116,0.00008621123],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985767,0.000022685244,0.00016401788,0.00028165372,0.0004371778,0.00051777356],"domain_scores_gemma":[0.9994923,0.00014347567,0.00003285575,0.00019251781,0.00003405366,0.00010481958],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008796551,0.00014405082,0.00020548461,0.00011982721,0.000109093,0.00020431034,0.00029629545,0.00007408468,0.0014481227],"category_scores_gemma":[0.000036001922,0.00012088095,0.000025013953,0.0002147489,0.00011654166,0.00030813852,0.000072081064,0.000047667912,0.0003707308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004557617,0.000037779115,7.104186e-7,0.000055945824,0.00000818582,0.0000031806685,0.00018050449,0.00004756549,0.9852635,0.011740947,0.0009592822,0.0016567905],"study_design_scores_gemma":[0.0006729331,0.00015978949,0.00000419725,0.000010011395,0.000004614187,0.0000047067733,0.00010693742,0.0018975572,0.9855576,0.00073066965,0.01067477,0.00017622577],"about_ca_topic_score_codex":0.000036284426,"about_ca_topic_score_gemma":0.000004083538,"teacher_disagreement_score":0.02105734,"about_ca_system_score_codex":0.000047631394,"about_ca_system_score_gemma":0.000056598492,"threshold_uncertainty_score":0.9994647},"labels":[],"label_agreement":null},{"id":"W2942432801","doi":"10.3390/app9091733","title":"Spatial Data Reconstruction via ADMM and Spatial Spline Regression","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Smoothing; Spatial analysis; Data mining; Aggregate (composite); Spline (mechanical); Regression; Mathematics; Statistics; Computer vision","score_opus":0.03283433055003318,"score_gpt":0.3126979958033424,"score_spread":0.2798636652533092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942432801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949943,0.00008561959,0.01630028,0.0015288402,0.0005162484,0.0004266071,0.000014566692,0.00007215642,0.03111267],"genre_scores_gemma":[0.9986727,0.000034416167,0.00058066903,0.000099246965,0.00029952225,0.0000062494573,0.000028651815,0.0000031574907,0.00027536094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847627,0.000092453636,0.00019371678,0.0005405878,0.0004714699,0.00022549553],"domain_scores_gemma":[0.9992439,0.00015254278,0.00011647671,0.00034991626,0.00004160672,0.000095548734],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018257924,0.000089097295,0.0001467484,0.00009515002,0.00094915804,0.00014277629,0.0005117096,0.00007744441,0.0010548487],"category_scores_gemma":[0.000086896114,0.000072780625,0.000021526537,0.0003966672,0.00096258806,0.0002850794,0.00012075967,0.00009763397,0.00012234403],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019516876,0.000037819216,0.025731232,0.0000114922705,0.0000094397055,3.2338144e-7,0.0018547567,0.00005480663,0.002323218,0.0037819282,0.0001410871,0.96603435],"study_design_scores_gemma":[0.0045360536,0.00086097606,0.11234481,0.0004665619,0.0005028751,0.000020795778,0.09252213,0.57332873,0.011444055,0.07916665,0.12094156,0.0038648343],"about_ca_topic_score_codex":0.021720413,"about_ca_topic_score_gemma":0.05176588,"teacher_disagreement_score":0.9621695,"about_ca_system_score_codex":0.000029593819,"about_ca_system_score_gemma":0.00021293937,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W2943685257","doi":"10.3390/app9091741","title":"A Sample-Encoding Generalization of the Kohonen Associative Memory and Application to Knee Kinematic Data Representation and Pathology Classification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Kinematics; Pattern recognition (psychology); Computer science; Artificial intelligence; Curse of dimensionality; Associative property; Self-organizing map; Statistic; Artificial neural network; Principal component analysis; Data mining; Mathematics; Statistics","score_opus":0.049612346046827474,"score_gpt":0.3189195519596108,"score_spread":0.26930720591278334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943685257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99175835,0.00004931031,0.0049417918,0.0006227877,0.000059459853,0.0010498201,0.000011687308,0.000012757602,0.0014940513],"genre_scores_gemma":[0.9936703,0.000013976546,0.005974863,0.00015269102,0.000020902113,0.00004988533,0.000051079714,0.0000035954524,0.00006272182],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926627,0.00003137471,0.00014404324,0.00029208825,0.00018471971,0.00008149288],"domain_scores_gemma":[0.9994266,0.00011313284,0.00013481181,0.0002644854,0.00003169388,0.000029281387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036823502,0.000056461573,0.00012514973,0.000056424065,0.00010082959,0.000017226806,0.00008924445,0.00003436553,0.000006318674],"category_scores_gemma":[0.000098237804,0.000039403076,0.000008550581,0.00027000558,0.00009262218,0.000094671974,0.00009352534,0.000028835731,0.0000047355607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024661189,0.000036001198,0.05421508,0.000043501233,0.000010012572,1.9915588e-7,0.002221982,0.000024623367,0.8752217,0.029641444,0.000039900737,0.03852084],"study_design_scores_gemma":[0.0050325827,0.0014489577,0.77321774,0.0002581978,0.00039476325,0.000051713167,0.016359905,0.048354417,0.13785988,0.016355535,0.00021881616,0.00044752052],"about_ca_topic_score_codex":0.000025793834,"about_ca_topic_score_gemma":0.00002264787,"teacher_disagreement_score":0.73736185,"about_ca_system_score_codex":0.0000157551,"about_ca_system_score_gemma":0.00002775123,"threshold_uncertainty_score":0.16068107},"labels":[],"label_agreement":null},{"id":"W2944454367","doi":"10.3390/app9091917","title":"Multi-Wavelength Digital-Phase-Shifting Moiré Based on Moiré Wavelength","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Moiré pattern; Wavelength; Optics; Phase (matter); Classification of discontinuities; Calibration; Materials science; Computer science; Physics; Mathematics","score_opus":0.05297178472950976,"score_gpt":0.29107888416322786,"score_spread":0.2381070994337181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944454367","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24594252,0.000020630912,0.29184648,0.0014783046,0.0007291678,0.0013327756,0.000009600948,0.0015846617,0.45705584],"genre_scores_gemma":[0.9406145,0.000001997639,0.058352426,0.0007460304,0.000041178046,0.000036697067,0.0000028348509,0.000011417784,0.00019291874],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970751,0.000030923664,0.00035918437,0.00092299015,0.0009557576,0.0006560446],"domain_scores_gemma":[0.9986819,0.00026868022,0.00013953575,0.0006662607,0.00008176092,0.00016184074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000935509,0.0002864221,0.00027581374,0.00025032714,0.00029249437,0.00087515113,0.001972516,0.000093391485,0.00010934822],"category_scores_gemma":[0.00010979354,0.00022080298,0.000088441695,0.0008272756,0.0002571528,0.00088268897,0.00024736853,0.00025510124,0.00061087584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006347387,0.0017256904,0.003072602,0.0000624062,0.000028170365,0.000009950338,0.0009314223,0.00037819764,0.045017105,0.4607313,0.0013129266,0.48666674],"study_design_scores_gemma":[0.0012869121,0.0014446185,0.0007481534,0.00011252086,0.000005689974,0.0000016804844,0.0002021978,0.939261,0.049515195,0.004352384,0.0023159406,0.000753683],"about_ca_topic_score_codex":0.000004975424,"about_ca_topic_score_gemma":0.0000021722167,"teacher_disagreement_score":0.9388828,"about_ca_system_score_codex":0.00006396199,"about_ca_system_score_gemma":0.00013126287,"threshold_uncertainty_score":0.9004084},"labels":[],"label_agreement":null},{"id":"W2945468832","doi":"10.3390/app9102084","title":"Numerical Approach for Studying the Evolution of the Degrees of Coherence of Partially Coherent Beams Propagation through an ABCD Optical System","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Qinglan Project of Jiangsu Province of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; China Scholarship Council; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Hermite polynomials; Coherence (philosophical gambling strategy); Gaussian; Degree of coherence; Ray transfer matrix analysis; Optics; Expression (computer science); Beam (structure); Physics; Computer science; Quantum mechanics","score_opus":0.02472140050511885,"score_gpt":0.2527449421227432,"score_spread":0.22802354161762434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945468832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89547104,0.000018089,0.09671683,0.00001996423,0.00008481709,0.0011223296,0.000008462497,0.0000060881703,0.0065524084],"genre_scores_gemma":[0.9920669,7.48829e-8,0.0077912654,0.0000015622566,0.000036495145,0.000086962034,0.0000024673811,0.000004090376,0.000010162114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898165,0.00003558986,0.00027941156,0.00018396859,0.00037801272,0.00014137483],"domain_scores_gemma":[0.9993221,0.00008475995,0.00027954948,0.00022096428,0.000076212076,0.000016391261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004487125,0.00008047397,0.0001718256,0.000011671971,0.00012060043,0.000018185607,0.00042307228,0.000020398751,0.000006002656],"category_scores_gemma":[0.0000041950743,0.000042261174,0.00006014107,0.0002423393,0.00042133714,0.000106814645,0.0000671563,0.000052703534,0.0000010022601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022015942,0.000284766,0.03229634,0.00012486281,0.000030017021,5.284087e-9,0.0013280524,0.035241097,0.031354316,0.8985317,0.0000043310665,0.000782493],"study_design_scores_gemma":[0.0015657896,0.0016751873,0.04514092,0.00023677376,0.00024044857,0.0000013817385,0.13646708,0.45418227,0.34826007,0.011666101,0.000029864781,0.00053409854],"about_ca_topic_score_codex":0.00012898141,"about_ca_topic_score_gemma":0.0000012497757,"teacher_disagreement_score":0.8868656,"about_ca_system_score_codex":0.00002407394,"about_ca_system_score_gemma":0.00009826831,"threshold_uncertainty_score":0.17233606},"labels":[],"label_agreement":null},{"id":"W2945781506","doi":"10.3390/app9091941","title":"Probing Attosecond Electron Coherence in Molecular Charge Migration by Ultrafast X-Ray Photoelectron Imaging","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Attosecond; Ultrashort pulse; Electron; Atomic physics; Physics; Coherence (philosophical gambling strategy); Extreme ultraviolet; X-ray photoelectron spectroscopy; Quantum; Optics; Laser; Quantum mechanics; Nuclear magnetic resonance","score_opus":0.004354435747022635,"score_gpt":0.2317069521342909,"score_spread":0.22735251638726828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945781506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685112,0.000014018436,0.002400295,0.00033858768,0.000035325178,0.00042611122,0.000010216943,0.000022938431,0.028241295],"genre_scores_gemma":[0.998965,7.0957134e-7,0.00019861419,0.00015258562,0.00002551238,0.00021595195,0.00004077749,0.000008262705,0.00039258032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896103,0.000013953104,0.00018171524,0.0003719902,0.0001444541,0.00032684],"domain_scores_gemma":[0.9996734,0.00003142177,0.00009443453,0.00014762506,0.000017518965,0.000035551024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015948729,0.00012214432,0.00011419407,0.00006999277,0.00015927808,0.0001405693,0.00022977819,0.000014666453,0.000681867],"category_scores_gemma":[5.929747e-7,0.0001116521,0.000031797925,0.00037728564,0.00005856054,0.00023910105,0.000019268906,0.00014426249,0.00028600008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019906324,0.00007032874,0.011026039,0.0000028585387,0.0000039537867,6.3114996e-8,0.00015241097,0.00015989871,0.97825617,0.009077857,0.00040439813,0.00084401504],"study_design_scores_gemma":[0.00024524154,0.000027164353,0.0005021688,0.000016200862,0.000004823007,5.1104564e-7,0.0004692193,0.002256715,0.990495,0.001318723,0.0044481833,0.0002160316],"about_ca_topic_score_codex":0.00024101525,"about_ca_topic_score_gemma":0.000020874266,"teacher_disagreement_score":0.030453794,"about_ca_system_score_codex":0.000031693686,"about_ca_system_score_gemma":0.00005248044,"threshold_uncertainty_score":0.7465966},"labels":[],"label_agreement":null},{"id":"W2947082796","doi":"10.3390/app9112230","title":"Aerial Grasping of an Object in the Strong Wind: Robust Control of an Aerial Manipulator","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China","keywords":"Control theory (sociology); Manipulator (device); Controller (irrigation); Control engineering; Computer science; Engineering; Robot; Simulation; Control (management); Artificial intelligence","score_opus":0.030234358753490804,"score_gpt":0.2617553738514805,"score_spread":0.2315210150979897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947082796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95247877,0.000012987507,0.0444078,0.000042908894,0.00071396073,0.00043685554,0.0000028628965,0.000033614004,0.0018702564],"genre_scores_gemma":[0.9595183,2.3850677e-7,0.040281877,0.000059886148,0.00012251422,0.0000074717686,0.0000012571238,0.000004277393,0.000004148631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798906,0.00014518021,0.00036070772,0.00046523614,0.00068190566,0.00035789591],"domain_scores_gemma":[0.99894893,0.00016649914,0.0002421873,0.000555373,0.000030813873,0.00005617005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019838365,0.00013542568,0.00029408775,0.00014808514,0.00010837498,0.00012725173,0.0022134378,0.000060174345,0.000009082719],"category_scores_gemma":[0.000026541109,0.00009637896,0.000036972484,0.00063123525,0.000268511,0.0005517266,0.00009835617,0.0001177102,0.000009432519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095012874,0.00033565334,0.0049215388,0.00003606806,0.000020509464,0.000014108079,0.008140386,0.7954751,0.07611131,0.10869122,0.000021617467,0.0061374386],"study_design_scores_gemma":[0.0020491886,0.0008982902,0.032764547,0.00004538111,0.00001134598,0.000018090343,0.0020164934,0.9517234,0.008464375,0.0016693973,0.000012118915,0.00032739126],"about_ca_topic_score_codex":0.00021386723,"about_ca_topic_score_gemma":0.000017631915,"teacher_disagreement_score":0.15624824,"about_ca_system_score_codex":0.000016413303,"about_ca_system_score_gemma":0.0001707994,"threshold_uncertainty_score":0.41131547},"labels":[],"label_agreement":null},{"id":"W2947527390","doi":"10.3390/app9102166","title":"Enhanced Automatic Speech Recognition System Based on Enhancing Power-Normalized Cepstral Coefficients","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Mel-frequency cepstrum; Computer science; Speech recognition; Robustness (evolution); Additive white Gaussian noise; Cepstrum; Noise (video); Speech enhancement; Pattern recognition (psychology); White noise; Artificial intelligence; Feature extraction; Noise reduction","score_opus":0.012404394415066826,"score_gpt":0.2372621977135739,"score_spread":0.22485780329850708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947527390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76554286,0.00001000895,0.17772672,0.0000928651,0.00065139116,0.00039328728,0.000001580343,0.0004866522,0.055094656],"genre_scores_gemma":[0.92399347,3.3120094e-7,0.07536607,0.0005226115,0.000029920355,0.00002519982,0.0000025479885,0.000008359939,0.00005149107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973098,0.000053328113,0.00035985882,0.0007561669,0.00092607335,0.0005947744],"domain_scores_gemma":[0.99897647,0.00018301477,0.00023585056,0.00041469277,0.00006683235,0.00012313983],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010952572,0.0002198798,0.00026451622,0.00026125374,0.00042081112,0.0005277882,0.0011133257,0.00007480392,0.00008308579],"category_scores_gemma":[0.000034198427,0.00018400709,0.000065955246,0.0012391172,0.00011496984,0.0005261222,0.000097408585,0.00014217682,0.001235407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003133956,0.00019836695,0.0001731187,0.00026369645,0.000011990828,0.000014067791,0.0008572162,0.002009293,0.65240735,0.0024368246,0.000111994166,0.34148473],"study_design_scores_gemma":[0.0005787749,0.00017944633,0.00022268614,0.00025468672,0.0000040287623,0.0000072756816,0.00037169742,0.0627925,0.93502885,0.00023300573,0.000029163046,0.00029790183],"about_ca_topic_score_codex":0.000006001332,"about_ca_topic_score_gemma":0.000001863623,"teacher_disagreement_score":0.34118682,"about_ca_system_score_codex":0.00009640884,"about_ca_system_score_gemma":0.00021775666,"threshold_uncertainty_score":0.99954224},"labels":[],"label_agreement":null},{"id":"W2948848780","doi":"10.3390/app9112250","title":"Effects of Aggregate Micro Fines (AMF), Aluminum Sulfate and Polypropylene Fiber (PPF) on Properties of Machine-Made Sand Concrete","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; York University; New York University Abu Dhabi","keywords":"Materials science; Compressive strength; Polypropylene; Slump; Composite material; Sulfate; Permeability (electromagnetism); Chloride; Porosity; Aluminium; Ettringite; Aggregate (composite); Cement; Geotechnical engineering; Metallurgy; Geology; Chemistry; Portland cement","score_opus":0.008560983939225676,"score_gpt":0.19718828115577106,"score_spread":0.1886272972165454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948848780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99266595,0.00062489585,0.00001766057,0.0000199625,0.00017164547,0.0005160439,0.00001015936,0.000045648554,0.0059280084],"genre_scores_gemma":[0.9992481,0.000060703413,0.00034471985,0.000035791036,0.000023258945,0.00002166763,0.0000022061188,0.000015486921,0.00024809767],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897057,0.000018468252,0.00031387832,0.0002132395,0.00023569424,0.00024813355],"domain_scores_gemma":[0.9995694,0.000088355424,0.00012962669,0.00014103895,0.000041484076,0.000030105222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985938,0.00018724284,0.00034602496,0.00013709479,0.00004752208,0.000033382064,0.0002010348,0.000054087046,0.00006432322],"category_scores_gemma":[0.000023425151,0.00013630731,0.000025904284,0.00025673548,0.00038895296,0.00011078967,0.000067220215,0.00005912708,0.000031058607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004111063,0.0000012182988,0.00015188666,0.0006377908,0.000026873166,4.2533466e-7,0.00022196697,0.00025450203,0.9969883,0.00088633,0.000031701165,0.0007578726],"study_design_scores_gemma":[0.00049341866,0.00013908934,0.0003821542,0.00020710268,0.000012100249,0.0000011013512,0.0000338503,0.0011332958,0.9971892,0.000034013774,0.00020527617,0.00016936152],"about_ca_topic_score_codex":0.00002510381,"about_ca_topic_score_gemma":2.846333e-7,"teacher_disagreement_score":0.006582093,"about_ca_system_score_codex":0.000011399824,"about_ca_system_score_gemma":0.000018363326,"threshold_uncertainty_score":0.5558451},"labels":[],"label_agreement":null},{"id":"W2950599832","doi":"10.3390/app9112384","title":"Estimating Vocal Fold Contact Pressure from Raw Laryngeal High-Speed Videoendoscopy Using a Hertz Contact Model","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Vocal folds; Kinematics; Stroboscope; Computer science; Collision; Acoustics; Kalman filter; Simulation; Physics; Artificial intelligence; Larynx; Optics; Surgery; Medicine","score_opus":0.02798129624081148,"score_gpt":0.29429756852444117,"score_spread":0.2663162722836297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950599832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98474693,0.0002693673,0.0053303153,0.00047946043,0.00028451704,0.00071358087,0.000011629568,0.000110449284,0.008053725],"genre_scores_gemma":[0.9722159,0.000004620624,0.026098583,0.0012879052,0.0001459914,0.0000097165685,0.00001915397,0.000022621358,0.00019551485],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978216,0.0000258176,0.0003258824,0.0006334831,0.00067919114,0.0005140059],"domain_scores_gemma":[0.999119,0.0001759623,0.00015072055,0.00033519452,0.000046071804,0.0001730961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034946442,0.0002469888,0.00052051566,0.00010277318,0.0002534492,0.0001166074,0.0003117853,0.00012641132,0.00027091434],"category_scores_gemma":[0.000045398305,0.00019683427,0.0000928535,0.00029342432,0.00013620562,0.0003041178,0.00008263845,0.00026210104,0.000112564136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003754454,0.00018155317,0.02530805,0.000096703254,0.00015890895,0.00001944344,0.0011791436,0.042044576,0.9231881,0.0055685714,0.0005960361,0.0012834793],"study_design_scores_gemma":[0.0032214455,0.00030390886,0.005108301,0.00017399582,0.00021560861,0.000008268803,0.0010525293,0.9687898,0.01850656,0.0021205356,0.00015968435,0.00033931737],"about_ca_topic_score_codex":0.0014677945,"about_ca_topic_score_gemma":0.00007307297,"teacher_disagreement_score":0.9267453,"about_ca_system_score_codex":0.000039794322,"about_ca_system_score_gemma":0.00031159274,"threshold_uncertainty_score":0.80266684},"labels":[],"label_agreement":null},{"id":"W2950938749","doi":"10.3390/app9122533","title":"Cutting Force and Cutting Quality during Tapered Milling of Glass Magnesium Board","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Doctorate Fellowship Foundation of Nanjing Forestry University; National Natural Science Foundation of China; Nanjing Forestry University","keywords":"Surface roughness; Materials science; Diamond cutting; Surface finish; Drilling; Composite material; Diamond; Metallurgy; Diamond turning","score_opus":0.012352797696667918,"score_gpt":0.2531718880103101,"score_spread":0.24081909031364218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950938749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98254967,0.0002004519,0.0038784496,0.000025426558,0.00010214039,0.00020223169,0.0000029518612,0.00044119844,0.012597454],"genre_scores_gemma":[0.94480044,0.000017029834,0.05504759,0.00001594177,0.000026229525,0.000010316276,5.6743863e-7,0.000018998682,0.000062869185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987236,0.000016064774,0.00032131738,0.00030244616,0.00027367412,0.00036288757],"domain_scores_gemma":[0.999448,0.00017277007,0.00009920182,0.00020347732,0.000023211045,0.000053340522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068123813,0.00015320301,0.00024802136,0.00008873001,0.00014799116,0.000059786365,0.0002876941,0.0000637415,0.000009218632],"category_scores_gemma":[0.000050372964,0.00015022678,0.000030436446,0.00029032386,0.00017157578,0.00030061172,0.00011536152,0.00014417041,0.000005414889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004680597,0.0000041786684,0.014390993,0.00031518232,0.0000052354667,3.846136e-7,0.0007835586,0.019803535,0.95931196,0.0039361278,0.0000038427443,0.0014403041],"study_design_scores_gemma":[0.00034086558,0.000038772258,0.008146805,0.000100352794,0.000010104666,0.0000038793646,0.002195258,0.032587875,0.9500563,0.005954152,0.00007224397,0.00049338397],"about_ca_topic_score_codex":0.000042729745,"about_ca_topic_score_gemma":0.0000057468496,"teacher_disagreement_score":0.051169142,"about_ca_system_score_codex":0.000033495722,"about_ca_system_score_gemma":0.000012339761,"threshold_uncertainty_score":0.612607},"labels":[],"label_agreement":null},{"id":"W2951261441","doi":"10.3390/app6050139","title":"Single Cell Chemotactic Responses of Helicobacter pylori to Urea in a Microfluidic Chip","year":2016,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Helicobacter pylori-related gastroenterology studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Hospital for Sick Children","keywords":"Helicobacter pylori; Chemotaxis; Motility; Microbiology; Population; CagA; Virulence factor; Stomach; Virulence; Biology; Epithelium; Chemistry; Cell biology; Medicine; Biochemistry; Genetics","score_opus":0.028623110320070786,"score_gpt":0.2684079075864222,"score_spread":0.2397847972663514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951261441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876283,0.00019843555,0.000065598084,0.0067854226,0.00012983948,0.00037228919,0.0000065191375,0.000040712817,0.004772897],"genre_scores_gemma":[0.99732983,0.00006807502,0.0007517668,0.0013090951,0.000056928526,0.00003953602,7.336902e-7,0.000013375281,0.00043063983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982556,0.000045789584,0.00039871258,0.00047213616,0.00030599957,0.0005217651],"domain_scores_gemma":[0.9991376,0.00025233696,0.00010861546,0.0002866198,0.00006868989,0.00014614832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005806437,0.00018767858,0.00039378734,0.0004025438,0.00007459448,0.000012312947,0.00024318729,0.00009017582,0.000050768856],"category_scores_gemma":[0.00022293192,0.000119545475,0.000050901956,0.00076413364,0.00057732896,0.000087553686,0.00012848133,0.00011938678,0.0001506362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045295665,0.00017447096,0.11763204,0.000017770508,0.00002045925,0.000008111739,0.0006861379,1.125841e-7,0.87794834,0.000041579733,0.00063095987,0.0023870552],"study_design_scores_gemma":[0.0017243794,0.0009807163,0.21318798,0.00014084777,0.000037676742,0.00002326649,0.0003771085,5.2937844e-7,0.779682,0.00007069017,0.0036330994,0.00014170981],"about_ca_topic_score_codex":0.000024743753,"about_ca_topic_score_gemma":0.00002149541,"teacher_disagreement_score":0.09826634,"about_ca_system_score_codex":0.00008728328,"about_ca_system_score_gemma":0.00010252282,"threshold_uncertainty_score":0.48749232},"labels":[],"label_agreement":null},{"id":"W2952155064","doi":"10.3390/app9122531","title":"A Low-Cost Terahertz Camera","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Terahertz technology and applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Terahertz radiation; Computer science; Digital camera; Optics; Materials science; Optoelectronics; Electronic engineering; Artificial intelligence; Physics; Engineering","score_opus":0.007165293721325779,"score_gpt":0.21277272334695288,"score_spread":0.20560742962562711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952155064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8782908,0.00004454749,0.0015191466,0.00020304769,0.0001361841,0.0002521134,0.000002479697,0.00057511,0.11897658],"genre_scores_gemma":[0.99846,0.00000706296,0.0010614567,0.00015051878,0.000020500334,0.000092443646,0.0000014771413,0.0000069423386,0.00019962127],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994641,0.0000018067849,0.00008478505,0.00016801148,0.000086514985,0.00019476745],"domain_scores_gemma":[0.9997488,0.00002673195,0.00001163986,0.00018063608,0.000004830047,0.000027347338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007715583,0.00007582909,0.00007581571,0.000058967784,0.0000942792,0.00003007447,0.00029752543,0.00005618254,0.00020730823],"category_scores_gemma":[0.000001510863,0.00006609427,0.000016591011,0.00033501073,0.00013715948,0.000064628555,0.000023594075,0.000100254314,0.0014074517],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029522164,0.000051396477,0.004885463,0.000031019976,0.00002052278,0.0000012382212,0.0005194423,0.0028519803,0.27147132,0.17083757,0.0059181997,0.5434089],"study_design_scores_gemma":[0.0005977261,0.000044547705,0.009578662,0.000028900586,0.000011679084,0.0000136205545,0.000819117,0.020495705,0.30157295,0.013137139,0.6529012,0.0007987934],"about_ca_topic_score_codex":0.0000025463266,"about_ca_topic_score_gemma":0.000004687157,"teacher_disagreement_score":0.64698297,"about_ca_system_score_codex":0.000012022805,"about_ca_system_score_gemma":0.000009634067,"threshold_uncertainty_score":0.99937004},"labels":[],"label_agreement":null},{"id":"W2953669149","doi":"10.3390/app9132712","title":"Controlled Release Using Gas Detonation in Needle-Free Liquid Jet Injections for Drug Delivery","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Injector; Drug delivery; Jet (fluid); Detonation; Materials science; Biomedical engineering; Nanotechnology; Mechanical engineering; Chemistry; Aerospace engineering; Engineering","score_opus":0.014810916690438,"score_gpt":0.2354839016530829,"score_spread":0.2206729849626449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953669149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849089,0.00012891076,0.0047221994,0.00013134042,0.0002989772,0.0005223795,0.000004407951,0.00014616192,0.009136736],"genre_scores_gemma":[0.99793005,0.000018015333,0.0017548724,0.00011288654,0.000034027304,0.00008057281,0.000003424842,0.000008840687,0.00005729057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922675,0.000008516432,0.00021260105,0.00017482699,0.00018832237,0.00018898325],"domain_scores_gemma":[0.999534,0.00021409981,0.000041306113,0.000109511195,0.00006053685,0.00004051131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038090153,0.00009361016,0.00014854663,0.00029052302,0.00012587184,0.00006419707,0.0001847888,0.000036575922,0.00006605749],"category_scores_gemma":[0.0000751495,0.00008686893,0.000036391408,0.0005940114,0.00004728231,0.00023566825,0.000024227682,0.00006455958,0.00002373478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044675334,0.000098560195,0.0014144946,0.00015031647,0.000026620653,6.725158e-7,0.0014618355,0.87800795,0.08022402,0.03248198,0.0012609009,0.0044258935],"study_design_scores_gemma":[0.0051883906,0.00007483181,0.0003672487,0.00003837712,0.000019592748,0.0000034495874,0.0018044236,0.9533143,0.029564932,0.00722852,0.0020308592,0.00036509783],"about_ca_topic_score_codex":0.00003474008,"about_ca_topic_score_gemma":0.0001654283,"teacher_disagreement_score":0.07530633,"about_ca_system_score_codex":0.000065625136,"about_ca_system_score_gemma":0.00007870782,"threshold_uncertainty_score":0.35424122},"labels":[],"label_agreement":null},{"id":"W2954436302","doi":"10.3390/app9112344","title":"Predicting Behavior of Grouted Dowel Connections Using Interfacial Cohesive Elements","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Western University","funders":"University of Windsor","keywords":"Dowel; Structural engineering; Finite element method; Slip (aerodynamics); Precast concrete; Spurious relationship; Constitutive equation; Computer science; Engineering","score_opus":0.02026162412747482,"score_gpt":0.2572485652585289,"score_spread":0.2369869411310541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954436302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951748,0.000011350816,0.00046201012,0.0000018460079,0.0005545944,0.00033237739,0.000011256699,0.00012951637,0.0033222393],"genre_scores_gemma":[0.99712074,0.000001038362,0.0028021133,0.0000070105484,0.000027777498,0.000017349446,0.000002587472,0.0000098878545,0.000011502915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99907136,0.000004951559,0.00025915523,0.00017850116,0.00025144903,0.00023458441],"domain_scores_gemma":[0.9996875,0.00003866123,0.000076039316,0.00012550708,0.000029682533,0.000042595333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001117692,0.00011697764,0.00015506677,0.000114804905,0.00009942561,0.000033162392,0.00024465512,0.000050332616,0.00014915474],"category_scores_gemma":[0.000008459712,0.000110101304,0.000038004593,0.00032171694,0.00013770672,0.00016712431,0.000049077993,0.00009820625,0.000020221616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004301311,7.403619e-7,0.052110706,0.000014326049,0.000013912694,5.9614e-7,0.00033746407,0.010170394,0.93446547,0.0011418685,0.000004771475,0.0017354758],"study_design_scores_gemma":[0.00075779675,0.00012850515,0.027836034,0.00005398422,0.00010481986,0.000018452753,0.0028212392,0.075598165,0.8920812,0.00008194091,0.00005949063,0.00045837814],"about_ca_topic_score_codex":0.000056960438,"about_ca_topic_score_gemma":0.0000032062812,"teacher_disagreement_score":0.06542777,"about_ca_system_score_codex":0.00004810194,"about_ca_system_score_gemma":0.00002387901,"threshold_uncertainty_score":0.4489801},"labels":[],"label_agreement":null},{"id":"W2954484501","doi":"10.3390/app9132726","title":"Numerical Modeling of the Melting Process in a Shell and Coil Tube Ice Storage System for Air-Conditioning Application","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Babol Noshirvani University of Technology; Hydro-Québec; Université de Sherbrooke","keywords":"Electromagnetic coil; Materials science; Thermal energy storage; Heat transfer; Thermal; Energy storage; Mechanics; Phase-change material; Air conditioning; Fluent; Thermal conduction; Mechanical engineering; Computer simulation; Nuclear engineering; Thermodynamics; Composite material; Engineering; Electrical engineering","score_opus":0.02348027495666796,"score_gpt":0.27562463640114737,"score_spread":0.25214436144447944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954484501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98523813,0.000050734776,0.0123219965,0.000018586059,0.000055400043,0.00053798023,0.000005619547,0.00004011198,0.0017314302],"genre_scores_gemma":[0.99945736,0.0000011985421,0.00030488518,0.0000062960903,0.000023025581,0.00019579142,0.0000015793604,0.000008014817,0.000001877134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999311,0.000010725565,0.00015095736,0.00016646013,0.00018962965,0.00017123949],"domain_scores_gemma":[0.99976075,0.00007235977,0.000031817934,0.00009129143,0.00002279395,0.00002097185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489099,0.000061872335,0.00011702045,0.000059270064,0.00008309251,0.000029769775,0.00019928488,0.000029739962,0.0000019896818],"category_scores_gemma":[0.000012939044,0.000047444253,0.000010877743,0.0003062441,0.000051318155,0.0000928194,0.000028904222,0.000052658543,0.000002631556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062616964,0.0000059513627,0.00021166158,0.0006167028,0.0000025290046,5.674005e-8,0.0009676572,0.6693235,0.32715282,0.001405453,0.0000013798742,0.00030606642],"study_design_scores_gemma":[0.00015807417,0.000007521246,0.00006467176,0.00005802652,0.0000017246679,0.0000010437241,0.0014423985,0.92426115,0.07373553,0.00020885062,0.000004150887,0.0000568672],"about_ca_topic_score_codex":0.000024602452,"about_ca_topic_score_gemma":0.0000047668022,"teacher_disagreement_score":0.25493768,"about_ca_system_score_codex":0.00003930824,"about_ca_system_score_gemma":0.000021787599,"threshold_uncertainty_score":0.19347204},"labels":[],"label_agreement":null},{"id":"W2954850473","doi":"10.3390/app9122556","title":"Concrete–Concrete Bond in Mode-I: A study on the Synergistic Effect of Surface Roughness and Fiber Reinforcement","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Durability; Composite material; Surface finish; Bridging (networking); Fiber-reinforced concrete; Structural engineering; Fracture mechanics; Fiber; Computer science; Engineering","score_opus":0.01269577833234398,"score_gpt":0.2481511127584035,"score_spread":0.23545533442605954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954850473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555793,0.00002145154,0.0000371295,0.000012765782,0.00015216236,0.0015026282,0.000003891375,0.00003461101,0.042656075],"genre_scores_gemma":[0.9997136,0.0000033488825,0.000032443102,0.000037047415,0.000011317555,0.000056287525,0.0000020380983,0.000013445432,0.00013045523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865085,0.000053241147,0.00036141157,0.00025987162,0.0003857214,0.00028891623],"domain_scores_gemma":[0.9989646,0.0006352069,0.00008817991,0.00026755125,0.000021832258,0.000022595803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014507504,0.00020701409,0.0003715851,0.00008746565,0.00005549711,0.00006437159,0.00028907545,0.000044210097,0.00014289204],"category_scores_gemma":[0.000033273,0.00013347986,0.000020532683,0.00044820932,0.0001726588,0.00010424808,0.000090929156,0.000104518214,0.0000872337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012260923,0.0000013093147,0.0026761289,0.0002594738,0.00007037055,0.0000021963017,0.0017501708,0.16330446,0.79991674,0.03167144,0.00011118509,0.000113881164],"study_design_scores_gemma":[0.002905587,0.0019423981,0.0015503333,0.00021889662,0.000041181058,9.596675e-7,0.0023079473,0.10203621,0.8878997,0.00009223998,0.00032112643,0.00068343384],"about_ca_topic_score_codex":0.000034740595,"about_ca_topic_score_gemma":6.707934e-7,"teacher_disagreement_score":0.08798292,"about_ca_system_score_codex":0.000041059575,"about_ca_system_score_gemma":0.000019970745,"threshold_uncertainty_score":0.5443151},"labels":[],"label_agreement":null},{"id":"W2955515943","doi":"10.3390/app9132665","title":"The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (June 2–4, 2019, Montreal, Quebec, Canada)","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Austrian Science Fund; Deutsche Forschungsgemeinschaft","keywords":"Laryngology; Mandate; Library science; General partnership; Political science; Medical education; Medicine; Computer science; Law","score_opus":0.04090890120967088,"score_gpt":0.3612325924232177,"score_spread":0.3203236912135468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955515943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8014039,0.0010248937,0.0000028631878,0.027060313,0.00022189693,0.0003902194,0.0000042523716,0.000009235259,0.16988243],"genre_scores_gemma":[0.9925756,0.0017608682,0.0001702431,0.0005531133,0.000025994279,0.000019405314,0.000004509436,0.000004064651,0.0048862337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984578,0.000051106614,0.0001448201,0.0003295704,0.0007043716,0.00031233774],"domain_scores_gemma":[0.99908495,0.0005645585,0.000045800163,0.0001468837,0.00009825838,0.000059537113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095256785,0.00008686505,0.00014501202,0.00012293484,0.00021915502,0.00006012024,0.00029591628,0.000039846032,0.000052755782],"category_scores_gemma":[0.0001236372,0.00005466539,0.000011155283,0.00036672706,0.0007165009,0.00012773102,0.00006429956,0.00026910825,0.00005083708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013632196,0.0003269663,0.11157703,0.000076500844,0.000075714015,0.00008768766,0.0035252105,0.00019359458,0.01243387,0.7478073,0.059223823,0.06330905],"study_design_scores_gemma":[0.004950845,0.0013121368,0.556716,0.0003498721,0.000023393417,0.000034622222,0.11021793,0.0060915397,0.0029342854,0.033124235,0.28351992,0.00072518364],"about_ca_topic_score_codex":0.30422738,"about_ca_topic_score_gemma":0.97442615,"teacher_disagreement_score":0.7146831,"about_ca_system_score_codex":0.000067350295,"about_ca_system_score_gemma":0.0006402549,"threshold_uncertainty_score":0.70040584},"labels":[],"label_agreement":null},{"id":"W2955823667","doi":"10.3390/app9132719","title":"Digital Image Correlation Applications in Composite Automated Manufacturing, Inspection, and Testing","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Digital image correlation; Composite number; Automated X-ray inspection; Materials science; Computer science; Mechanical engineering; Structural engineering; Composite material; Engineering; Image processing; Artificial intelligence; Image (mathematics)","score_opus":0.019300187091532445,"score_gpt":0.2515133303635617,"score_spread":0.23221314327202927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955823667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7128989,0.000012786196,0.07537795,0.00012061122,0.00005568966,0.00046229718,6.7566566e-7,0.0012614737,0.2098096],"genre_scores_gemma":[0.9753695,9.0444524e-7,0.02453621,0.000031587173,0.000007390203,0.00002598146,0.0000011071245,0.0000022661745,0.000025016207],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991791,0.0000071719105,0.00015288428,0.00031427527,0.0001888098,0.00015770762],"domain_scores_gemma":[0.9996552,0.00008840052,0.00005601747,0.00013717225,0.000027735487,0.000035469067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002133244,0.00008129335,0.000088908586,0.00013254514,0.00014098428,0.00043563455,0.00035121868,0.00002924197,0.0000034036939],"category_scores_gemma":[0.000012298718,0.00006786771,0.000008993365,0.0004375808,0.0001388323,0.00081251335,0.000118307646,0.00008046165,0.000051393956],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007979495,0.00023931956,0.36456415,0.000053676096,0.000009219522,0.0000014550404,0.00095192814,0.00041621918,0.21242394,0.35957175,0.00023738793,0.06152297],"study_design_scores_gemma":[0.00042999056,0.00029709557,0.38940558,0.00009094325,0.0000042777147,0.000010928366,0.0003209775,0.44723016,0.1329259,0.028326517,0.00037934494,0.00057829503],"about_ca_topic_score_codex":0.000009642879,"about_ca_topic_score_gemma":0.0000024700607,"teacher_disagreement_score":0.44681394,"about_ca_system_score_codex":0.000024940264,"about_ca_system_score_gemma":0.000018761362,"threshold_uncertainty_score":0.42008337},"labels":[],"label_agreement":null},{"id":"W2957795859","doi":"10.3390/app9142777","title":"Quantifying Power System Operational Reliability","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability engineering; Electric power system; Reliability (semiconductor); Probabilistic logic; Power system simulation; Margin (machine learning); Computer science; Economic dispatch; Index (typography); Monte Carlo method; Power (physics); Engineering; Statistics","score_opus":0.014446961144783796,"score_gpt":0.2234373617982233,"score_spread":0.2089904006534395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957795859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80318344,0.00009251199,0.0038729936,0.000053517655,0.0013064813,0.0003207176,0.0000040485825,0.00036995715,0.19079635],"genre_scores_gemma":[0.9983499,0.0000018208985,0.0014563568,0.000045915374,0.00002258983,0.000027150976,0.0000010056799,0.0000071305453,0.00008809865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989518,0.000014476797,0.00021410495,0.00028530898,0.0002797601,0.0002545482],"domain_scores_gemma":[0.9995773,0.00007707428,0.000021417778,0.00024646518,0.000028305432,0.000049467795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086729456,0.000104472405,0.00015278417,0.000041614192,0.000120976176,0.00007683834,0.0002819599,0.00005130041,0.00008414137],"category_scores_gemma":[0.000014829608,0.000083432074,0.000035336845,0.000258683,0.0001106021,0.00017053942,0.000032438325,0.00008688115,0.00076426566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016701026,0.0000497508,0.032556653,0.00090389594,0.000028128872,0.000002665547,0.0013033161,0.1769088,0.059751496,0.7243177,0.003374389,0.00078647706],"study_design_scores_gemma":[0.0019445318,0.0003357393,0.05906848,0.00074757996,0.00003257379,0.000087463595,0.015047881,0.74352956,0.050640713,0.0024035545,0.12328534,0.0028765684],"about_ca_topic_score_codex":0.000010785143,"about_ca_topic_score_gemma":0.0000048223646,"teacher_disagreement_score":0.7219142,"about_ca_system_score_codex":0.000076924116,"about_ca_system_score_gemma":0.00003700984,"threshold_uncertainty_score":0.9823344},"labels":[],"label_agreement":null},{"id":"W2959077396","doi":"10.3390/app9142848","title":"A Macroscopic Traffic Model based on Driver Reaction and Traffic Stimuli","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Higher Education Commision, Pakistan; University of Engineering and Technology, Peshawar; Higher Education Commission, Pakistan; University of Engineering and Technology, Lahore","keywords":"Bottleneck; Headway; Microscopic traffic flow model; Traffic bottleneck; Traffic flow (computer networking); Three-phase traffic theory; Traffic congestion reconstruction with Kerner's three-phase theory; Traffic wave; Simulation; Computer science; Traffic model; Traffic generation model; Transport engineering; Engineering; Traffic optimization; Traffic congestion; Real-time computing; Floating car data; Computer network","score_opus":0.010153918718692393,"score_gpt":0.2123614777017342,"score_spread":0.2022075589830418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959077396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779655,0.000030983123,0.0013112299,0.00006483238,0.00014721333,0.00027367048,0.0000014892155,0.0002749846,0.019930096],"genre_scores_gemma":[0.99902874,0.000008634142,0.00065323344,0.00012041075,0.000016758557,0.000024033017,0.0000012808549,0.000008234591,0.00013866686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992764,0.0000038462153,0.00009177614,0.0002394868,0.00018913206,0.0001993317],"domain_scores_gemma":[0.99978644,0.000035015313,0.000014300019,0.00011466322,0.000004265548,0.000045292556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013091826,0.0001079799,0.000106429135,0.00009143791,0.000075176446,0.00005267543,0.000110783825,0.00003273141,0.000022128172],"category_scores_gemma":[0.0000010555933,0.00009248528,0.000019630457,0.00015252522,0.000063571926,0.00006860549,0.000010478144,0.00007001896,0.00006728638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063485154,0.000014406485,0.0000053850754,0.000017964267,0.0000034787688,3.1600004e-7,0.00010460724,0.9580821,0.0051798425,0.0010790719,0.00019971178,0.035306763],"study_design_scores_gemma":[0.0004767613,0.000049008562,0.00081979507,0.0000095330815,0.000007677627,2.0143965e-7,0.000090764974,0.99761754,0.00009794724,0.00003780845,0.00067534216,0.00011760935],"about_ca_topic_score_codex":0.0000010085698,"about_ca_topic_score_gemma":0.000008693834,"teacher_disagreement_score":0.039535444,"about_ca_system_score_codex":0.000022636403,"about_ca_system_score_gemma":0.0000134453885,"threshold_uncertainty_score":0.377144},"labels":[],"label_agreement":null},{"id":"W2961478200","doi":"10.3390/app9132735","title":"Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; Ontario Ministry of Research and Innovation; National Institutes of Health","keywords":"Vocal folds; Finite element method; Phonation; Viscoelasticity; Waveform; Compression (physics); Bayesian inference; Bayesian probability; Acoustics; Mathematics; Computer science; Algorithm; Physics; Artificial intelligence; Structural engineering; Engineering; Larynx","score_opus":0.04875929860878643,"score_gpt":0.27437790483042257,"score_spread":0.22561860622163615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961478200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885867,0.000023634508,0.0065392493,0.00012411548,0.00009799257,0.00037958368,0.000016662103,0.000025659625,0.0042063985],"genre_scores_gemma":[0.99422985,0.0000071116774,0.005382392,0.00023506607,0.000037278533,0.00001166253,0.000010644828,0.0000073133224,0.000078678844],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871314,0.0000062470017,0.00025904912,0.00028863555,0.00046233684,0.00027057785],"domain_scores_gemma":[0.99960285,0.000021433369,0.000090350935,0.00018533663,0.00003326664,0.000066778215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018985567,0.0001293546,0.00025675778,0.00007820476,0.00008386287,0.00004036845,0.00018543199,0.000058051806,0.00019835764],"category_scores_gemma":[0.000016630076,0.000082885395,0.000044804332,0.00018175817,0.00023966152,0.00014336134,0.00007873358,0.00006886705,0.000022256918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040934776,0.00023595392,0.028188089,0.00013127833,0.00005882876,0.000003122673,0.0029304747,0.017072083,0.94367754,0.0035950036,0.000053953983,0.0036443404],"study_design_scores_gemma":[0.0016671371,0.0005047711,0.0020594716,0.00023469162,0.000083588864,0.0000029513517,0.0050547575,0.7927037,0.19137755,0.005872874,0.00007528266,0.00036321866],"about_ca_topic_score_codex":0.00037230106,"about_ca_topic_score_gemma":0.00006055685,"teacher_disagreement_score":0.7756316,"about_ca_system_score_codex":0.000025783465,"about_ca_system_score_gemma":0.00023301807,"threshold_uncertainty_score":0.3379968},"labels":[],"label_agreement":null},{"id":"W2961666595","doi":"10.3390/app9142809","title":"High-Speed Holographic Shape and Full-Field Displacement Measurements of the Tympanic Membrane in Normal and Experimentally Simulated Pathological Ears","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; Worcester Polytechnic Institute; Foundation for the National Institutes of Health","keywords":"Middle ear; Holography; Optics; Acoustics; Physics; Anatomy; Medicine","score_opus":0.020664412229174003,"score_gpt":0.2458124224825509,"score_spread":0.22514801025337688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961666595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982974,0.00018080295,0.000117093274,0.00029566046,0.00009616858,0.0002254008,2.8425978e-7,0.000018977253,0.0007682279],"genre_scores_gemma":[0.9972164,0.000010998325,0.0024140275,0.00034077332,0.0000051868738,0.0000032548953,1.697205e-7,0.0000021329597,0.000007042844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987273,0.00003744314,0.00019630343,0.0003936558,0.00039920447,0.00024605976],"domain_scores_gemma":[0.9995938,0.00007015425,0.00009803582,0.00017660255,0.000015876834,0.00004553044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062902016,0.00010877571,0.00015797357,0.00008495405,0.00013513718,0.000103182756,0.0005672746,0.000050728402,0.000019082938],"category_scores_gemma":[0.000015460311,0.000068619986,0.000019853995,0.00057787856,0.00026052113,0.00021128445,0.0003438239,0.00009229955,0.0000024307228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002283521,0.0000520267,0.068401545,0.000011753823,0.00000437451,0.0000014344597,0.0004985171,0.00028744884,0.9262434,0.00058657676,0.0000027519131,0.0038873155],"study_design_scores_gemma":[0.0013166107,0.00041549958,0.1451473,0.000056900575,0.0000059349964,0.000012340248,0.00041222514,0.005100485,0.84654045,0.00074977457,0.000006149716,0.00023634342],"about_ca_topic_score_codex":0.00001392021,"about_ca_topic_score_gemma":0.000009972039,"teacher_disagreement_score":0.07970298,"about_ca_system_score_codex":0.0000083861205,"about_ca_system_score_gemma":0.000031884236,"threshold_uncertainty_score":0.27982417},"labels":[],"label_agreement":null},{"id":"W2963707398","doi":"10.3390/app9152974","title":"Towards a Physiological Scale of Vocal Fold Agent-Based Models of Surgical Injury and Repair: Sensitivity Analysis, Calibration and Verification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health; Compute Canada","keywords":"Python (programming language); Confidence interval; Experimental data; Computer science; Statistics; Simulation; Mathematics","score_opus":0.02397708222885749,"score_gpt":0.2796751782342182,"score_spread":0.25569809600536075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963707398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715966,0.000056529523,0.0015415944,0.00023070222,0.000009216411,0.00019193147,0.0000062274094,0.000019354582,0.0007848058],"genre_scores_gemma":[0.9984479,0.000037141686,0.0014070874,0.00007315609,0.000007849353,0.000004024617,0.000012200901,0.0000018584668,0.000008773672],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991765,0.000038081984,0.00017298333,0.0002633726,0.00025284264,0.00009619404],"domain_scores_gemma":[0.99966085,0.000053682055,0.00007758062,0.0001267168,0.00003226694,0.000048903737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947851,0.000066812936,0.00027532518,0.00010010306,0.0000382438,0.0000072076677,0.00003058526,0.00006169638,0.000012953386],"category_scores_gemma":[0.000009976559,0.000048160153,0.00006613538,0.00044086025,0.0003916657,0.000077392055,0.000022217675,0.000046993242,4.6719023e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010019863,0.00068194733,0.17460918,0.00036887638,0.00024030969,0.0000048487013,0.0008809644,0.005855743,0.7904209,0.016814604,0.0001568534,0.008963816],"study_design_scores_gemma":[0.0012400983,0.000705102,0.2644325,0.000029196299,0.0003571857,0.0000033206986,0.0010208469,0.6808479,0.05002722,0.0011301185,0.000032082717,0.00017446859],"about_ca_topic_score_codex":0.000080187296,"about_ca_topic_score_gemma":0.000018528572,"teacher_disagreement_score":0.74039364,"about_ca_system_score_codex":0.0000055386154,"about_ca_system_score_gemma":0.00006067951,"threshold_uncertainty_score":0.1963914},"labels":[],"label_agreement":null},{"id":"W2963941484","doi":"10.3390/app9142904","title":"A Layer-Wise Strategy for Indoor As-Built Modeling Using Point Clouds","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Point cloud; Computer science; Robustness (evolution); Building model; Process (computing); Representation (politics); Planar; Artificial intelligence; Simulation; Computer graphics (images)","score_opus":0.09725530679852289,"score_gpt":0.2930425751932159,"score_spread":0.19578726839469301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963941484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96943754,0.00018803125,0.0006614866,0.000057035846,0.00027000185,0.00036147467,0.000023802348,0.000057464295,0.028943187],"genre_scores_gemma":[0.9967461,0.000006625616,0.0026567727,0.00023900802,0.00009005198,0.0000031926359,0.000018778073,0.0000036051663,0.00023586588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853146,0.000030093479,0.00021121539,0.00043424708,0.00032889764,0.00046406974],"domain_scores_gemma":[0.9995169,0.000117566145,0.00006751747,0.00014739984,0.00003543203,0.00011520429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090821064,0.00015259211,0.00018774698,0.000051711366,0.00044339697,0.00020989624,0.00038801762,0.00006982941,0.00070217607],"category_scores_gemma":[0.000018379413,0.000108728396,0.000062338324,0.00034095536,0.00011358004,0.0002862623,0.000016069323,0.00010195237,0.00036521954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016981672,0.000042120802,0.090504736,0.00008272535,0.000030246154,0.000006018761,0.0013885978,0.8432788,0.016045915,0.005691643,0.00019620113,0.042563185],"study_design_scores_gemma":[0.00047595904,0.00030114164,0.0035252376,0.000027304068,0.000012618043,0.000017755496,0.004098795,0.97908026,0.0010509968,0.010618084,0.0003590321,0.00043279532],"about_ca_topic_score_codex":0.0014439762,"about_ca_topic_score_gemma":0.00060686993,"teacher_disagreement_score":0.13580148,"about_ca_system_score_codex":0.0000051701054,"about_ca_system_score_gemma":0.00013791064,"threshold_uncertainty_score":0.7688335},"labels":[],"label_agreement":null},{"id":"W2965136903","doi":"10.3390/app9153014","title":"THz Superradiance from a GaAs: ErAs Quantum Dot Array at Room Temperature","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Terahertz technology and applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terahertz Technology Solutions (Canada)","funders":"Army Research Office","keywords":"Superradiance; Terahertz radiation; Optoelectronics; Photomixing; Ultrashort pulse; Ringing; Materials science; Physics; Waveform; Optics; Laser; Terahertz metamaterials; Telecommunications; Far-infrared laser; Quantum mechanics","score_opus":0.007749944998018564,"score_gpt":0.20213751545876985,"score_spread":0.19438757046075128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965136903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98170376,0.00048727077,0.0001301235,0.00048782513,0.00024894788,0.00020556855,0.000021590497,0.00050322525,0.016211715],"genre_scores_gemma":[0.9979534,0.000045058325,0.0013853,0.00019101122,0.00006781169,0.00007925267,0.000010692394,0.0000122614065,0.0002552058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991213,0.000004766943,0.00012538687,0.00033200948,0.00014136646,0.00027516054],"domain_scores_gemma":[0.99952203,0.000075210206,0.00001898186,0.00032610697,0.000007659303,0.000050006514],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000085314336,0.00013689269,0.000139316,0.000055904864,0.00022382052,0.000052583124,0.00047099806,0.0001426438,0.00028665696],"category_scores_gemma":[0.000004268237,0.000116396266,0.000029449271,0.000386446,0.0001645982,0.00010607782,0.000031502845,0.00020183406,0.0012249176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024310186,0.000011678278,0.0029117346,0.000004753166,0.000011237641,5.535892e-7,0.0003492765,0.0006764589,0.9688397,0.021837937,0.0035222413,0.0018320064],"study_design_scores_gemma":[0.00073024275,0.00006466874,0.026729122,0.000050531253,0.000022684064,0.000011979746,0.0013765912,0.0052822293,0.5794755,0.029073989,0.35610357,0.0010788302],"about_ca_topic_score_codex":0.000017446882,"about_ca_topic_score_gemma":0.000060138784,"teacher_disagreement_score":0.38936415,"about_ca_system_score_codex":0.000033405548,"about_ca_system_score_gemma":0.00001708121,"threshold_uncertainty_score":0.9995527},"labels":[],"label_agreement":null},{"id":"W2965366524","doi":"10.3390/app9153110","title":"CubeSat Mission: From Design to Operation","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CubeSat; Business; Computer science; Systems engineering; Operations management; Engineering; Satellite; Aerospace engineering","score_opus":0.021548492859415003,"score_gpt":0.22357914519832456,"score_spread":0.20203065233890954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965366524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5878634,0.00018547094,0.36808008,0.000607888,0.0006253401,0.0005502423,0.0000011602415,0.00076304155,0.041323416],"genre_scores_gemma":[0.9848273,0.000004139166,0.014868651,0.00016125488,0.000029003539,0.000011291559,6.6014763e-7,0.000005952822,0.000091775095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949425,0.000004834781,0.0000673683,0.00017062761,0.00011588217,0.00014705509],"domain_scores_gemma":[0.9997855,0.00003315949,0.0000057789325,0.00012706786,0.0000055670193,0.000042971722],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000121553276,0.00006648031,0.00007626934,0.000068859685,0.000053930653,0.000041263444,0.00021160574,0.000052419804,0.00026156622],"category_scores_gemma":[0.0000053255258,0.000054996533,0.0000078344565,0.00026642572,0.000031679312,0.000056026834,0.000019655432,0.000049032402,0.0015098597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036485212,0.000004864725,0.00033432723,0.0000015108069,0.0000043255213,7.751666e-7,0.00022956305,0.04042436,0.940064,0.0042267344,0.00420962,0.010496273],"study_design_scores_gemma":[0.00018036203,0.00007015705,0.00056505617,0.00001079864,0.0000032213902,0.0000012305995,0.00033015033,0.07578292,0.91235715,0.0025972752,0.00788424,0.00021744828],"about_ca_topic_score_codex":0.000008803445,"about_ca_topic_score_gemma":0.000002549231,"teacher_disagreement_score":0.3969639,"about_ca_system_score_codex":0.000015169277,"about_ca_system_score_gemma":0.000014583318,"threshold_uncertainty_score":0.9992676},"labels":[],"label_agreement":null},{"id":"W2965617627","doi":"10.3390/app9163217","title":"Fatigue in Concrete under Low-Cycle Tensile Loading Using a Pressure-Tension Apparatus","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ultimate tensile strength; Materials science; Tension (geology); Structural engineering; Composite material; Stress (linguistics); Engineering","score_opus":0.02468860322094386,"score_gpt":0.25675164799810063,"score_spread":0.23206304477715678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965617627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912577,0.00018281836,0.00046356494,0.000008350603,0.00038550867,0.0003506274,0.000002083345,0.00017457889,0.007174735],"genre_scores_gemma":[0.9974459,0.000004995024,0.0023875446,0.00006271997,0.000032744112,0.000009540819,0.0000019449908,0.000018932305,0.000035705973],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986111,0.000010424648,0.00023825152,0.00034403088,0.00033118558,0.00046501],"domain_scores_gemma":[0.9995525,0.00007400769,0.00004738092,0.00022757114,0.00002269565,0.0000758836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001872085,0.00019525121,0.0002538363,0.00016158025,0.000093677314,0.000094950025,0.00029726457,0.00010207797,0.0000903715],"category_scores_gemma":[0.000008566752,0.00017237112,0.000039456198,0.0005260627,0.00015094677,0.00028889184,0.00006506518,0.00018741646,0.000072350806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041323096,8.831977e-8,0.0006617269,0.000018502431,0.0000051285624,0.0000019381428,0.00012174962,0.23551457,0.7618532,0.0015338637,0.000016086618,0.0002689967],"study_design_scores_gemma":[0.0005961005,0.000028598519,0.0020037172,0.000096832664,0.000022498187,0.00001687183,0.0006377947,0.63490576,0.36067486,0.00035226572,0.00014309466,0.00052159774],"about_ca_topic_score_codex":0.000071480026,"about_ca_topic_score_gemma":0.0000018147077,"teacher_disagreement_score":0.40117836,"about_ca_system_score_codex":0.000051885807,"about_ca_system_score_gemma":0.000035629993,"threshold_uncertainty_score":0.70290905},"labels":[],"label_agreement":null},{"id":"W2965677548","doi":"10.3390/app9153146","title":"Landmark Generation in Visual Place Recognition Using Multi-Scale Sliding Window for Robotics","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Landmark; Artificial intelligence; Computer science; Sliding window protocol; Pattern recognition (psychology); Computer vision; Window (computing); Scale (ratio); Geography; Cartography","score_opus":0.05706308341871576,"score_gpt":0.27283935430513684,"score_spread":0.2157762708864211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965677548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6759981,0.000015240072,0.3231887,0.00001010728,0.00020107659,0.000254542,0.0000019248102,0.000035204204,0.00029514212],"genre_scores_gemma":[0.9319111,0.0000060015955,0.0679184,0.000027551265,0.00007565476,0.000009114494,0.0000315422,0.000011257572,0.000009360167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936885,0.00000929272,0.00015317566,0.0001701511,0.000117417345,0.00018112942],"domain_scores_gemma":[0.9998308,0.000047030913,0.000027144173,0.00004938271,0.000020190837,0.000025451158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002750305,0.00008081662,0.00009766342,0.00010230282,0.00009201086,0.0000693325,0.000059920694,0.00005665006,0.000006622548],"category_scores_gemma":[0.000008906023,0.00008050861,0.000017311908,0.00025242442,0.000018632107,0.00011659302,0.0000075330418,0.000046109362,0.000012729364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002802712,0.000009680151,0.0010828151,0.000015922054,0.000001437849,8.783363e-8,0.00010109845,0.86798,0.12960123,0.00014215452,0.0000090050125,0.0010537427],"study_design_scores_gemma":[0.0003591319,0.000020308767,0.00023743563,0.0000135186265,0.000004313263,5.6623475e-7,0.00016574205,0.97590137,0.023097916,0.000059731774,0.000018772076,0.00012118129],"about_ca_topic_score_codex":0.000009800983,"about_ca_topic_score_gemma":0.00006861588,"teacher_disagreement_score":0.25591305,"about_ca_system_score_codex":0.00005020712,"about_ca_system_score_gemma":0.000017644837,"threshold_uncertainty_score":0.32830456},"labels":[],"label_agreement":null},{"id":"W2965689484","doi":"10.3390/app10041510","title":"Entanglement Control of Two-Level Atoms in Dissipative Cavities","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Quantum entanglement; Dissipative system; Dissipation; Electromagnetic field; Wave function; Quantum; Concurrence; Generalization; Envelope (radar)","score_opus":0.03854534626335998,"score_gpt":0.2668488049446306,"score_spread":0.2283034586812706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965689484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26748082,0.000062625135,0.6978581,0.002772593,0.00011525588,0.0003573732,0.000015443653,0.00007816774,0.031259593],"genre_scores_gemma":[0.99032,0.0000025330257,0.008070219,0.0015713448,0.000009976385,0.000022090557,5.9973587e-7,0.0000011543066,0.0000020822963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990156,0.000020276737,0.00025173847,0.00017900378,0.00036001008,0.00017333441],"domain_scores_gemma":[0.9996359,0.00006252843,0.000111174915,0.000103138525,0.000021957008,0.00006530238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029532705,0.00007515996,0.00013000862,0.00010515765,0.00007939173,0.00006607596,0.0006707812,0.000013803065,0.000026317184],"category_scores_gemma":[0.000008828469,0.000059449718,0.000033145338,0.0008894183,0.000243761,0.00034613974,0.0000824538,0.000050802082,0.000018114613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004368352,0.000023376057,0.0033259257,0.0000070893257,0.0000037027344,5.488613e-7,0.007887559,0.00022307095,0.001188268,0.9816515,0.00007139808,0.005613206],"study_design_scores_gemma":[0.0091128,0.0014367903,0.058864303,0.00009337562,0.000021093601,0.0000049781047,0.032762833,0.59049535,0.13530189,0.16565874,0.004755488,0.0014923536],"about_ca_topic_score_codex":0.000021549587,"about_ca_topic_score_gemma":0.000013240597,"teacher_disagreement_score":0.8159928,"about_ca_system_score_codex":0.00000844652,"about_ca_system_score_gemma":0.00005648721,"threshold_uncertainty_score":0.2424289},"labels":[],"label_agreement":null},{"id":"W2966053671","doi":"10.3390/app9153145","title":"AUV Adaptive Sampling Methods: A Review","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Adaptive sampling; Computer science; Sampling (signal processing); Underwater; Control engineering; Artificial intelligence; Engineering; Geography; Telecommunications","score_opus":0.3261907512459012,"score_gpt":0.4342536694706987,"score_spread":0.10806291822479752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966053671","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.435595e-8,0.9386597,0.03129168,0.0000084455905,0.00011655988,0.0008075395,0.000005154134,0.00017136519,0.028939491],"genre_scores_gemma":[0.000005131177,0.95109713,0.04836272,0.00006588863,0.00005533779,0.0002718272,0.000008466078,0.000031435105,0.00010205958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984459,0.00013524297,0.00057106663,0.0003401343,0.00023062911,0.00027697932],"domain_scores_gemma":[0.9988547,0.00035076964,0.00016759177,0.0005511391,0.000018905179,0.00005689067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014695753,0.00029862334,0.0012956345,0.000112607864,0.00012570746,0.000092402835,0.0011603956,0.00012427564,0.00004315133],"category_scores_gemma":[0.000003238172,0.00021336782,0.00022248758,0.0007039546,0.00009510179,0.000068334484,0.00014381691,0.00028592913,0.00060095906],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.562188e-8,0.0000020667242,1.4914287e-8,0.017255116,0.000033408443,6.8597544e-8,0.000028408247,0.000018306298,0.0000046334644,0.00097045104,0.00017211038,0.98151535],"study_design_scores_gemma":[0.000016514088,0.000007114689,2.4148946e-8,0.020636456,0.00015299165,0.00000709082,0.000038351114,0.00010237927,0.0000053472168,0.00013327463,0.9786332,0.0002672533],"about_ca_topic_score_codex":0.0000044747417,"about_ca_topic_score_gemma":0.000001099234,"teacher_disagreement_score":0.9812481,"about_ca_system_score_codex":0.00006480471,"about_ca_system_score_gemma":0.00009531141,"threshold_uncertainty_score":0.8700887},"labels":[],"label_agreement":null},{"id":"W2966303070","doi":"10.3390/app9153177","title":"Design of Interactions for Handheld Augmented Reality Devices Using Wearable Smart Textiles: Findings from a User Elicitation Study","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Mobile device; Wearable computer; Augmented reality; Computer science; Human–computer interaction; Wearable technology; Gesture; Interface (matter); Touchscreen; User interface; Multimedia; Embedded system; Artificial intelligence; World Wide Web","score_opus":0.07382146377261098,"score_gpt":0.33720926276425456,"score_spread":0.26338779899164355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966303070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5993071,0.000008206101,0.39918354,0.000051352992,0.00022041533,0.0006097997,0.0000049959326,0.000009376119,0.0006052161],"genre_scores_gemma":[0.98274064,9.915783e-7,0.016973983,0.00013891216,0.000014753413,0.00004912269,0.0000028927245,0.000004384404,0.00007434428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870574,0.00006282426,0.00026244344,0.0004605428,0.00028536338,0.00022306593],"domain_scores_gemma":[0.9987582,0.00063289446,0.00019227508,0.00023699888,0.00014583067,0.000033808083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061146705,0.00011877127,0.00018839289,0.00015408311,0.00029344854,0.0001660263,0.00060931913,0.000026613663,0.000044274162],"category_scores_gemma":[0.00003413677,0.000101203,0.000046961057,0.0004826218,0.00007730951,0.0009407896,0.00010174098,0.00006929849,0.000036223053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009960855,0.0003433466,0.0107868025,0.000016102822,0.00007742786,3.607407e-7,0.007810734,0.0037575483,0.97162944,0.004680061,0.0002941578,0.0005044174],"study_design_scores_gemma":[0.00205435,0.0012437922,0.06411193,0.00023535737,0.000095368574,0.0000023356106,0.032846965,0.42711243,0.46701086,0.004167017,0.00048752173,0.00063208194],"about_ca_topic_score_codex":0.0005764198,"about_ca_topic_score_gemma":0.00006000743,"teacher_disagreement_score":0.5046186,"about_ca_system_score_codex":0.00004501039,"about_ca_system_score_gemma":0.000091235386,"threshold_uncertainty_score":0.41269383},"labels":[],"label_agreement":null},{"id":"W2966323895","doi":"10.3390/app9153002","title":"Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold Models","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Fold (higher-order function); Phonation; Vocal folds; Pressure sensor; Acoustics; Engineering; Medicine; Anatomy; Larynx; Audiology; Physics; Mechanical engineering","score_opus":0.04838427762805724,"score_gpt":0.27423811830312966,"score_spread":0.22585384067507241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966323895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749617,0.00003997074,0.022994038,0.00017951711,0.000052509422,0.0006457843,0.0000026153923,0.0000223911,0.0011014695],"genre_scores_gemma":[0.99353796,0.0000076058823,0.0062044594,0.00009482206,0.000017779246,0.000013185594,0.000012516986,0.000007351356,0.000104287574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893,0.000014443322,0.00022999429,0.00028391933,0.00036415135,0.00017748863],"domain_scores_gemma":[0.9996588,0.000027505102,0.00010985542,0.00010129283,0.00004636642,0.00005614714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003247846,0.00010483235,0.00021595958,0.000090179135,0.00008859773,0.000032190135,0.00007339769,0.000065895874,0.000026548658],"category_scores_gemma":[0.000012779877,0.00008275996,0.000022515207,0.00018480842,0.00008763197,0.00018413931,0.00003427014,0.000058865644,0.0000065623126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008311346,0.00009313651,0.006260713,0.00026120906,0.00003794063,8.3578584e-7,0.0031832014,0.00027857636,0.9767393,0.0033901217,0.0000032088692,0.009668658],"study_design_scores_gemma":[0.004108544,0.00069627434,0.06607887,0.00078141043,0.00045112515,0.00006095698,0.006818069,0.19064805,0.726566,0.0013793007,0.0015336997,0.0008776893],"about_ca_topic_score_codex":0.000013131934,"about_ca_topic_score_gemma":0.0000022070546,"teacher_disagreement_score":0.25017327,"about_ca_system_score_codex":0.000015661957,"about_ca_system_score_gemma":0.0001803091,"threshold_uncertainty_score":0.3374853},"labels":[],"label_agreement":null},{"id":"W2966867637","doi":"10.3390/app9153109","title":"Influence of Commercial Biochar Fillers on Brittleness/Ductility of Epoxy Resin Composites","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Biochar; Materials science; Epoxy; Composite material; Brittleness; Ultimate tensile strength; Ductility (Earth science); Composite number; Thermosetting polymer; Elongation; Pyrolysis; Chemistry","score_opus":0.013032100188408507,"score_gpt":0.2536240818866147,"score_spread":0.24059198169820623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966867637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99299914,0.00009130945,0.0000096907515,0.00012415365,0.00027266907,0.00038272978,0.00003601912,0.00003831285,0.00604598],"genre_scores_gemma":[0.9982791,0.000006738515,0.0015245153,0.00011600042,0.00002938523,0.0000135901755,0.000001918626,0.0000074085206,0.00002135872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979166,0.000074677264,0.0004646671,0.0005065278,0.0007386297,0.000298905],"domain_scores_gemma":[0.99841255,0.0006008545,0.0003011181,0.0005215226,0.00010633169,0.00005761431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010316082,0.0001648289,0.0003918023,0.00015988311,0.00013466374,0.000041858795,0.00097064546,0.000071151575,0.00024356107],"category_scores_gemma":[0.00007458447,0.00014185507,0.000064964115,0.000614656,0.0015657829,0.00015892329,0.00023117405,0.000089113375,0.00014353586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081047896,0.00008567394,0.01257986,0.00004880355,0.0000033537328,3.3014453e-7,0.00019444546,0.007591914,0.97283083,0.006284267,0.000076437274,0.00022305912],"study_design_scores_gemma":[0.00023065053,0.00018718069,0.038313735,0.00006330427,0.000007080165,0.0000017553335,0.00009331934,0.0000781815,0.9598794,0.0009146582,0.000078938705,0.00015177796],"about_ca_topic_score_codex":0.00026779014,"about_ca_topic_score_gemma":0.000016593056,"teacher_disagreement_score":0.025733873,"about_ca_system_score_codex":0.000028290355,"about_ca_system_score_gemma":0.00010814841,"threshold_uncertainty_score":0.57846814},"labels":[],"label_agreement":null},{"id":"W2967916864","doi":"10.3390/app9163262","title":"Maintenance Process Simulation Based Maintainability Evaluation by Using Stochastic Colored Petri Net","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; Nanjing University of Aeronautics and Astronautics; National Natural Science Foundation of China","keywords":"Maintainability; Reliability engineering; Computer science; Petri net; Process (computing); Correctness; Software engineering; Systems engineering; Engineering; Programming language","score_opus":0.01715305446113116,"score_gpt":0.2700525777278763,"score_spread":0.25289952326674514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967916864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6628375,0.00002497444,0.33520222,0.000016727812,0.00011182964,0.00055705395,0.0000029409878,0.000107370935,0.0011393827],"genre_scores_gemma":[0.9986791,4.258355e-7,0.0011879491,0.00003747205,0.000017239818,0.00004098345,0.000014930169,0.000010727068,0.000011149053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988708,0.000015177803,0.0001715704,0.0002788457,0.00042587877,0.00023775549],"domain_scores_gemma":[0.99958056,0.00010820459,0.000060916245,0.00011964624,0.00009131592,0.00003937582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069201516,0.00011782258,0.00011478143,0.00007761842,0.00013824279,0.00008288453,0.00016043193,0.000052161853,0.00013080335],"category_scores_gemma":[0.000065310196,0.00010728876,0.000016544906,0.000391418,0.000075540156,0.00019913695,0.000010890811,0.00006747683,0.000011090757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008806139,0.000009139428,0.00018709316,0.00006166409,0.0000018589836,2.7441615e-8,0.000088753884,0.99763435,0.00066208007,0.00008965228,0.000011077667,0.0012455059],"study_design_scores_gemma":[0.00029964224,0.000021827429,0.00035276843,0.000015078454,0.000009773596,1.2885634e-7,0.00014723423,0.99551296,0.002504007,0.00096728845,0.000024058214,0.00014523025],"about_ca_topic_score_codex":0.000007047371,"about_ca_topic_score_gemma":0.0000022881286,"teacher_disagreement_score":0.33584163,"about_ca_system_score_codex":0.00013425438,"about_ca_system_score_gemma":0.00008489364,"threshold_uncertainty_score":0.43751085},"labels":[],"label_agreement":null},{"id":"W2969408426","doi":"10.3390/app9163420","title":"Optimal Charging of Plug-In Electric Vehicle: Considering Travel Behavior Uncertainties and Battery Degradation","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Plug-in; Smart grid; Electrification; Computer science; Battery (electricity); Electric vehicle; Environmental economics; Environmental science; Electricity; Electrical engineering; Power (physics); Engineering","score_opus":0.008891442852606122,"score_gpt":0.20429805893800565,"score_spread":0.19540661608539953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969408426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979222,0.00026111156,0.00026781778,0.000013962176,0.000047226607,0.00014164892,8.878692e-7,0.000029180248,0.0013160049],"genre_scores_gemma":[0.9990223,0.000036547335,0.00088092743,0.000018313915,0.000013013994,0.000010504356,0.0000010661532,0.0000071156232,0.000010188147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932057,0.000005163687,0.00016081314,0.00015733334,0.00013940492,0.00021672313],"domain_scores_gemma":[0.99982727,0.000045314137,0.000031065185,0.00006345758,0.000008691369,0.00002419054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015404222,0.00009045888,0.00014185053,0.00016032769,0.00004439473,0.000032109045,0.000098518976,0.000043743694,0.000025350255],"category_scores_gemma":[0.0000031967152,0.00008258132,0.000013179618,0.00041138547,0.00005921265,0.00012673762,0.000014511051,0.00010668908,0.0000023424914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000439585,0.000008082728,0.07470697,0.000057534326,0.0000061413843,0.0000011411804,0.0003662199,0.03653568,0.8665676,0.0027927614,0.000026962196,0.018926475],"study_design_scores_gemma":[0.00053627155,0.00009889626,0.31267977,0.000036983576,0.000015538917,0.00001560564,0.0010095863,0.28101093,0.4036732,0.000537818,0.00003618367,0.0003492288],"about_ca_topic_score_codex":0.000021672082,"about_ca_topic_score_gemma":0.000005228773,"teacher_disagreement_score":0.46289444,"about_ca_system_score_codex":0.000022456761,"about_ca_system_score_gemma":0.000020965952,"threshold_uncertainty_score":0.33675683},"labels":[],"label_agreement":null},{"id":"W2969466393","doi":"10.3390/app9173459","title":"Energy Management for Smart Homes—State of the Art","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Home automation; Computer science; Ambient intelligence; Building automation; Process (computing); Context (archaeology); Computer security; Smart environment; Human–computer interaction; Internet of Things; Telecommunications","score_opus":0.017802340229060704,"score_gpt":0.2281143411421185,"score_spread":0.2103120009130578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969466393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10633295,0.000067470355,0.6759825,0.0017472358,0.0020163204,0.0014158944,0.000008963676,0.0001428036,0.21228586],"genre_scores_gemma":[0.99295866,0.0000032209114,0.003060901,0.00036043138,0.000013478986,0.000084691994,3.9990158e-7,0.0000032961805,0.003514925],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881494,0.000026551259,0.00018512312,0.00035937765,0.000399107,0.00021488409],"domain_scores_gemma":[0.9991899,0.00016352827,0.0001471931,0.00042680313,0.0000415245,0.000031043564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006043803,0.00008582009,0.00013957956,0.00008598576,0.000135583,0.00010637179,0.0012606824,0.00001662065,0.000011292947],"category_scores_gemma":[0.00000385114,0.000057826437,0.00006985389,0.0005978005,0.00012937517,0.0002221165,0.0003039127,0.000030183677,0.00008092796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011497173,0.00009155159,0.0017180628,0.0000810849,0.000048572696,5.419061e-7,0.0005669903,0.00017434118,0.009076923,0.4374224,0.005811896,0.54499614],"study_design_scores_gemma":[0.0027075883,0.00044771857,0.021995896,0.00023061465,0.000035866404,0.00002458998,0.0008291053,0.04984166,0.18143271,0.1631214,0.5780665,0.0012663495],"about_ca_topic_score_codex":0.000013455123,"about_ca_topic_score_gemma":0.000028978944,"teacher_disagreement_score":0.8866257,"about_ca_system_score_codex":0.000016148722,"about_ca_system_score_gemma":0.000046381887,"threshold_uncertainty_score":0.23580937},"labels":[],"label_agreement":null},{"id":"W2970297916","doi":"10.3390/app9173495","title":"SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Universiti Teknologi Malaysia; Korea Institute of Geoscience and Mineral Resources","keywords":"Vulnerability (computing); Software; Weighting; Computer science; Geographic information system; Vulnerability assessment; Visualization; Data mining; Geography; Cartography; Computer security","score_opus":0.016610915071924727,"score_gpt":0.2766274988003763,"score_spread":0.26001658372845154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970297916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6210853,0.00002298263,0.33702976,0.0017039342,0.0004204996,0.0022770748,0.0000224619,0.00026547257,0.0371725],"genre_scores_gemma":[0.92445225,0.0000023208058,0.07340734,0.0008087016,0.000023422546,0.00019680163,0.00002338514,0.000012941017,0.001072863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794215,0.000030412446,0.0002332827,0.0007224755,0.0006032131,0.00046845386],"domain_scores_gemma":[0.9992789,0.00021902157,0.0001310393,0.00027343954,0.000010151342,0.00008746113],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014515665,0.00019800308,0.00020387674,0.00005630585,0.00051934965,0.00012130581,0.0005263328,0.000049193866,0.0011238173],"category_scores_gemma":[0.000028609174,0.00015925417,0.000070301605,0.00048788704,0.0002984252,0.00020678533,0.00024788454,0.00016818337,0.00023935105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051649706,0.0005596213,0.32620698,0.000098041855,0.00002707598,8.528702e-7,0.0002572066,0.6190282,0.018902088,0.005067871,0.0032890833,0.026511323],"study_design_scores_gemma":[0.0022295301,0.0006425676,0.04936585,0.000019652274,0.00004768651,0.0000010270527,0.00055369706,0.83314055,0.0026014904,0.0028172454,0.10783001,0.0007507177],"about_ca_topic_score_codex":0.0002444057,"about_ca_topic_score_gemma":0.00011395828,"teacher_disagreement_score":0.30336693,"about_ca_system_score_codex":0.00016889513,"about_ca_system_score_gemma":0.000060161907,"threshold_uncertainty_score":0.9997893},"labels":[],"label_agreement":null},{"id":"W2971305325","doi":"10.3390/app9173510","title":"A Low-Cost and Portable Smart Instrumentation for Detecting Colorectal Cancer Cells","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Cancer Agency; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluorometer; Dichroic filter; Photodiode; Detector; Computer science; Fluorescence; Colorectal cancer; Optoelectronics; Computer hardware; Materials science; Optics; Cancer; Physics; Medicine; Wavelength; Telecommunications","score_opus":0.012333715425068725,"score_gpt":0.29310371531753815,"score_spread":0.2807699998924694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971305325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981037,0.0000780064,0.00008045417,0.000023311362,0.000081665516,0.00046722856,0.000017766391,0.0000035823414,0.0011442874],"genre_scores_gemma":[0.9991571,0.000049063412,0.00035589602,0.000070042726,0.000037413796,0.00020164972,0.000013860184,0.000003899961,0.00011108641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994505,0.000004047411,0.00005470962,0.00022728914,0.00008440462,0.00017906039],"domain_scores_gemma":[0.999857,0.000009919651,0.000029574203,0.0000451914,0.00001712838,0.000041151674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010968034,0.00005282638,0.000051023566,0.000019724504,0.00012148136,0.000040821404,0.000061661776,0.00002555935,0.000017237951],"category_scores_gemma":[0.0000055840687,0.00004455028,0.0000146966195,0.00006771208,0.000070353606,0.0000047000367,0.000032923163,0.000018368506,0.0000046524415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064268956,0.000012226908,0.01294878,0.000011259368,0.000011406849,9.263484e-8,0.000031877546,0.000027242233,0.9705523,0.00003232711,0.00011857894,0.016189633],"study_design_scores_gemma":[0.00052828994,0.00016509823,0.0018698071,0.000003976072,0.000003598779,6.5660095e-7,0.00016307108,0.00010494094,0.99579096,0.00005127746,0.0012566769,0.00006165287],"about_ca_topic_score_codex":0.00019903277,"about_ca_topic_score_gemma":0.00060285034,"teacher_disagreement_score":0.025238648,"about_ca_system_score_codex":0.000012342811,"about_ca_system_score_gemma":0.00008256329,"threshold_uncertainty_score":0.18167077},"labels":[],"label_agreement":null},{"id":"W2971854718","doi":"10.3390/app9173624","title":"Congestion Evaluation of Pedestrians in Metro Stations Based on Normal-Cloud Theory","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Ningbo Municipality","keywords":"Metro station; Transport engineering; Pedestrian; Computer science; Traffic congestion; Channel (broadcasting); Cloud computing; Engineering; Telecommunications","score_opus":0.022858280871623178,"score_gpt":0.27224781599487247,"score_spread":0.2493895351232493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971854718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93263,0.000010282024,0.006499321,0.000037723243,0.00014624167,0.00023669408,0.0000044357967,0.00003541745,0.06039986],"genre_scores_gemma":[0.99934167,0.0000017247291,0.0005594729,0.00003811237,0.000008388,0.000022862481,0.000008806605,0.000004089965,0.000014883463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992619,0.000040610834,0.00013908523,0.000101045654,0.00036510214,0.00009223797],"domain_scores_gemma":[0.9996445,0.0001779542,0.000031995754,0.00009212172,0.000036573314,0.00001683793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016477609,0.00005299847,0.00006837398,0.00016617222,0.000029718012,0.000016327578,0.0000891122,0.000029024144,0.00017868333],"category_scores_gemma":[0.000042340576,0.000049477207,0.000013455821,0.0004059605,0.000049349186,0.00007056804,0.000003719734,0.000051427927,0.00004327129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049918312,0.000014155542,0.0027787439,0.000006877684,0.000001554775,2.3338178e-8,0.00014182263,0.94303113,0.0018618695,0.04897776,0.000011774336,0.0031693012],"study_design_scores_gemma":[0.0004209484,0.00003196791,0.021576108,0.000009858146,0.000008418135,3.63276e-8,0.0007629475,0.97080827,0.0018346483,0.004464522,0.000014464553,0.0000678148],"about_ca_topic_score_codex":0.000005605787,"about_ca_topic_score_gemma":0.00009490567,"teacher_disagreement_score":0.066711634,"about_ca_system_score_codex":0.000051942578,"about_ca_system_score_gemma":0.000070769216,"threshold_uncertainty_score":0.20176218},"labels":[],"label_agreement":null},{"id":"W2972082796","doi":"10.3390/app9183755","title":"Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Adaptive neuro fuzzy inference system; Mean squared error; Computer science; Data mining; Algorithm; Statistics; Artificial intelligence; Mathematics; Fuzzy logic; Fuzzy control system","score_opus":0.01811691359555176,"score_gpt":0.23561026014445074,"score_spread":0.21749334654889899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972082796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86652905,0.00001909916,0.13067557,0.000025520152,0.000046405636,0.00036667043,0.000054846667,0.0000323645,0.002250492],"genre_scores_gemma":[0.72291905,0.000012710156,0.27700087,0.000012840698,0.000011129147,0.0000028664947,0.000024416373,0.0000053994618,0.000010716004],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867725,0.000026828238,0.00024745,0.0004527713,0.00042073312,0.00017494103],"domain_scores_gemma":[0.9993392,0.00005262073,0.00020774738,0.00033375426,0.000018421802,0.000048213053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007554097,0.000113271366,0.00019364787,0.000057022942,0.00011813612,0.00003268881,0.00029721996,0.00008268132,0.00027886554],"category_scores_gemma":[0.0000113682045,0.000077089426,0.000015941887,0.00036034457,0.0006122023,0.0003328053,0.00019032718,0.00006882494,0.0000013644784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016938559,0.00016659888,0.46328712,0.000064499094,0.000027433874,0.0000019650129,0.00058393326,0.45541888,0.03404918,0.000011290315,0.00005442595,0.046165314],"study_design_scores_gemma":[0.0005647862,0.00031603352,0.009059326,0.000070140646,0.00004128562,0.0000062027893,0.00044031942,0.9656527,0.023620905,0.000021032878,0.000052994154,0.00015427923],"about_ca_topic_score_codex":0.0005782092,"about_ca_topic_score_gemma":0.000065387736,"teacher_disagreement_score":0.5102338,"about_ca_system_score_codex":0.000031168238,"about_ca_system_score_gemma":0.000045321733,"threshold_uncertainty_score":0.31436154},"labels":[],"label_agreement":null},{"id":"W2972550689","doi":"10.3390/app9183832","title":"Characterization of Representative Residential Buildings within a Neighborhood and Their Energy Efficiency Levels According to RTQ-R","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Efficient energy use; Scope (computer science); Energy consumption; Environmental economics; Environmental science; Architectural engineering; Electricity; Consumption (sociology); Business; Civil engineering; Engineering; Computer science; Economics","score_opus":0.010018023143389489,"score_gpt":0.21418087235737637,"score_spread":0.2041628492139869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972550689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87315506,0.000013563833,0.12369961,0.000021280504,0.00015014017,0.00008728785,0.0000028907125,0.00006406349,0.0028061194],"genre_scores_gemma":[0.9984683,0.0000086134605,0.0013929214,0.000045259425,0.000023641776,0.000013480504,0.0000032738415,0.000009677954,0.000034881436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928814,0.00000982667,0.00017943828,0.00023078744,0.00014444963,0.00014734008],"domain_scores_gemma":[0.9997356,0.000032818596,0.00006223026,0.000109955174,0.000020989022,0.0000384313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020287045,0.00010059348,0.00013616304,0.0001457655,0.00008927618,0.000052688516,0.00017546103,0.000041138657,0.000014104645],"category_scores_gemma":[0.000008227582,0.000084972155,0.000016300164,0.00057170226,0.000062336614,0.00020410148,0.00006004721,0.0000416812,0.0000011045593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005759206,0.000005705378,0.00079028227,0.000009358278,0.000007470427,8.518459e-8,0.00096417585,0.24059312,0.7140633,0.042343646,0.0000039127835,0.0012132109],"study_design_scores_gemma":[0.00022385715,0.00006466654,0.0025298465,0.00004303598,0.000006227213,0.0000024032329,0.0010380527,0.15126266,0.8431213,0.0014318742,0.000048472342,0.00022762158],"about_ca_topic_score_codex":0.000021333224,"about_ca_topic_score_gemma":0.000004365266,"teacher_disagreement_score":0.129058,"about_ca_system_score_codex":0.000011663289,"about_ca_system_score_gemma":0.000018040555,"threshold_uncertainty_score":0.3465064},"labels":[],"label_agreement":null},{"id":"W2972670180","doi":"10.3390/app9183828","title":"Time Frequency Representation Enhancement via Frequency Matching Linear Transform for Bearing Condition Monitoring under Variable Speeds","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; Postdoctoral Research Foundation of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; University of Ottawa","keywords":"Short-time Fourier transform; Instantaneous phase; Computer science; Time–frequency analysis; Ridge; Algorithm; Time–frequency representation; Fourier transform; Vibration; Mathematics; Acoustics; Filter (signal processing); Geology; Computer vision; Physics","score_opus":0.01555787596427784,"score_gpt":0.3001951423854982,"score_spread":0.2846372664212204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972670180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6419024,0.00007194908,0.3125904,0.000095656265,0.00043558347,0.001232059,0.00001028132,0.00062724564,0.043034445],"genre_scores_gemma":[0.9095088,0.000023057371,0.08986346,0.000031083095,0.00014525106,0.00028513567,0.000029089722,0.000028219698,0.000085856576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986044,0.000010056685,0.00029670252,0.0003694664,0.00034008446,0.00037929995],"domain_scores_gemma":[0.9994916,0.00014657342,0.00006208161,0.0002080044,0.00003470777,0.00005708607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053106906,0.00019125291,0.0002086916,0.00015642766,0.00019800817,0.000092178314,0.00029842652,0.000088283006,0.00020771718],"category_scores_gemma":[0.000008042693,0.00019190065,0.000050157345,0.00038264855,0.000063991254,0.0004971635,0.000021436143,0.00014232038,0.00011294256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030744623,0.000026915033,0.00069440115,0.00009890926,0.000025094905,2.77348e-7,0.00039018897,0.024415925,0.96136624,0.010190166,0.00008735683,0.002701473],"study_design_scores_gemma":[0.0003532283,0.00010737317,0.00054120395,0.00010249228,0.0000256875,0.0000022382262,0.00024283829,0.033493564,0.87202865,0.09256315,0.00012787084,0.00041172563],"about_ca_topic_score_codex":0.000106098356,"about_ca_topic_score_gemma":0.0000042033275,"teacher_disagreement_score":0.26760644,"about_ca_system_score_codex":0.00013216371,"about_ca_system_score_gemma":0.000026735785,"threshold_uncertainty_score":0.7825481},"labels":[],"label_agreement":null},{"id":"W2973061762","doi":"10.3390/app9183712","title":"UAV-Based Air Pollutant Source Localization Using Combined Metaheuristic and Probabilistic Methods","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Consejo Nacional de Ciencia y Tecnología; Concordia University","keywords":"Probabilistic logic; Robustness (evolution); Computer science; Pollutant; Metaheuristic; Software deployment; Environmental science; Artificial intelligence","score_opus":0.026569965465662083,"score_gpt":0.2787046874052389,"score_spread":0.2521347219395768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973061762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933648,0.00011841974,0.0040645255,0.00036402725,0.000053949436,0.0005216125,0.000004927853,0.00005771864,0.0014500374],"genre_scores_gemma":[0.99725235,0.0000025855074,0.0022764602,0.0003392055,0.00004047547,0.000017151951,0.000004020532,9.907592e-7,0.000066764405],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858314,0.00015912714,0.00017272492,0.0003826635,0.00033640853,0.0003659436],"domain_scores_gemma":[0.9992633,0.00045122532,0.00007644531,0.000056856647,0.000040878316,0.00011129276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010600331,0.00012526667,0.00019376061,0.000023531253,0.00042393262,0.000116585165,0.00025464146,0.00005244409,0.00016313097],"category_scores_gemma":[0.00008502515,0.000047823134,0.00003838693,0.0006238674,0.00030768014,0.000082146595,0.000059862185,0.00008086847,0.000020330055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008618777,0.00008182453,0.0025193987,0.000023658582,0.000011901166,0.0000010420846,0.00007608868,0.00516386,0.9235464,0.009012981,0.000015189155,0.05946147],"study_design_scores_gemma":[0.0011939552,0.0016342012,0.015851377,0.000051911506,0.00006576156,0.000010811681,0.0013176271,0.8991385,0.053047843,0.024940668,0.0019198654,0.00082745194],"about_ca_topic_score_codex":0.00021482793,"about_ca_topic_score_gemma":0.00007536317,"teacher_disagreement_score":0.89397466,"about_ca_system_score_codex":0.000021508467,"about_ca_system_score_gemma":0.00004431892,"threshold_uncertainty_score":0.32605898},"labels":[],"label_agreement":null},{"id":"W2974149634","doi":"10.3390/app9183891","title":"Dome Roof Fall Geohazards of Full-Seam Chamber with Ultra-Large Section in Coal Mine","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"State Key Laboratory of Coal Resources and Safe Mining; China Postdoctoral Science Foundation; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Roof; Dome (geology); Geology; Coal mining; Geotechnical engineering; Coal; Mining engineering; Structural engineering; Engineering; Geomorphology","score_opus":0.007910504084552293,"score_gpt":0.20518266714389075,"score_spread":0.19727216305933845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974149634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976937,0.000050546263,0.010214229,0.000010030204,0.0001945494,0.00015540051,0.0000027571486,0.000040909916,0.012394601],"genre_scores_gemma":[0.9992696,0.000015371663,0.0005944905,0.000015176952,0.000034531862,0.00001236222,0.0000019977592,0.0000089903015,0.000047473117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920714,0.0000037475168,0.00014356144,0.00017827575,0.00023271987,0.00023454774],"domain_scores_gemma":[0.9998034,0.000017601766,0.000027979382,0.00010447306,0.000015437898,0.00003108624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032423844,0.000089024674,0.00013951989,0.000104975225,0.000037900296,0.000016489003,0.00010298322,0.00004561611,0.00002334033],"category_scores_gemma":[0.00000181956,0.00007113407,0.000016569746,0.00028270064,0.000018739433,0.00008630166,0.000014678986,0.000085724525,0.000011424713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020376088,0.000031068234,0.0014365446,0.00005449777,0.000009070796,0.0000010413368,0.00054592313,0.6064758,0.38691625,0.004125074,0.00003736418,0.000347],"study_design_scores_gemma":[0.0016223479,0.00033753942,0.002076477,0.00009477011,0.000012232292,0.0000211747,0.0015495733,0.9033083,0.08847184,0.0008140638,0.0011774943,0.000514223],"about_ca_topic_score_codex":0.000049303362,"about_ca_topic_score_gemma":0.00039951003,"teacher_disagreement_score":0.29844442,"about_ca_system_score_codex":0.000019835521,"about_ca_system_score_gemma":0.000021748876,"threshold_uncertainty_score":0.29007632},"labels":[],"label_agreement":null},{"id":"W2974456218","doi":"10.3390/app9183899","title":"Polymers and Polymer Nanocomposites for Cancer Therapy","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Polymer; Materials science; Fibroin; Nanocomposite; Polymer science; Self-healing hydrogels; Biopolymer; Polyester; Chitosan; Drug delivery; Nanotechnology; Drug carrier; Chemical engineering; Chemistry; Polymer chemistry; Organic chemistry; SILK; Composite material","score_opus":0.017154278149619666,"score_gpt":0.2622716614367947,"score_spread":0.24511738328717503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974456218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850386,0.0051317564,0.00007838445,0.00043783837,0.00004607388,0.0004301492,0.000011239098,0.000011850709,0.008814139],"genre_scores_gemma":[0.9968504,0.00030427668,0.00048869126,0.0006851038,0.00006678262,0.0003140919,0.0000059536824,0.000010357678,0.0012743832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992741,0.000007971986,0.00009005314,0.00035060165,0.00008657099,0.00019072971],"domain_scores_gemma":[0.99972254,0.000016524376,0.00004179559,0.00016280382,0.000013540395,0.000042777898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012550985,0.00009326652,0.00008727593,0.000027968026,0.00016944416,0.000036656704,0.00020782869,0.00005351279,0.00005928613],"category_scores_gemma":[0.0000030904218,0.000071698174,0.0000293265,0.00008475181,0.00024336706,0.0000033577753,0.000043230433,0.000020381818,0.000010128241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020905956,0.000012791605,0.0014609109,0.0000034821899,0.000014121203,8.272962e-9,0.000044480024,0.0000061978267,0.9740163,0.0010109296,0.00008823967,0.023321632],"study_design_scores_gemma":[0.00019451142,0.00007040433,0.0005161431,0.0000024948959,0.0000040840487,8.967302e-7,0.0000856349,0.000036572852,0.9410856,0.00007090837,0.057813372,0.00011942507],"about_ca_topic_score_codex":0.000051283805,"about_ca_topic_score_gemma":0.000013461281,"teacher_disagreement_score":0.05772513,"about_ca_system_score_codex":0.000003944496,"about_ca_system_score_gemma":0.000060770326,"threshold_uncertainty_score":0.29237667},"labels":[],"label_agreement":null},{"id":"W2974889393","doi":"10.3390/app9183874","title":"Nonlinear Vibration Analysis of a Beam with a Breathing Crack","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Nonlinear system; Beam (structure); Structural engineering; Vibration; Stiffness; Materials science; Finite element method; Bending stiffness; Mechanics; Acoustics; Physics; Engineering","score_opus":0.012304055875973397,"score_gpt":0.2646828025592702,"score_spread":0.2523787466832968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974889393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520403,0.00001702808,0.0013453763,0.000012200378,0.00005509809,0.00012901645,0.0000019772656,0.00019140226,0.0030438814],"genre_scores_gemma":[0.9623937,0.0000040280493,0.037544575,0.0000145615195,0.00002170838,0.000008505916,0.0000020186642,0.000005013414,0.0000058810833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940103,0.0000030980561,0.00012666789,0.00013314612,0.00020582718,0.00013020678],"domain_scores_gemma":[0.99974334,0.000045982833,0.000037887752,0.00012956854,0.000017682394,0.000025525987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015519772,0.00006587311,0.00014653214,0.00020184349,0.00004372643,0.00002075853,0.00014907401,0.000030153775,0.000018625766],"category_scores_gemma":[0.000002552219,0.000049280672,0.00002072672,0.0011546502,0.000058233476,0.00010437004,0.000013397935,0.000055216413,0.0000048428324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058673646,0.00004366732,0.11903475,0.000504737,0.00059158006,0.0000027676767,0.005988889,0.54915386,0.27158967,0.009211299,0.000118936805,0.04370115],"study_design_scores_gemma":[0.0002956623,0.0003261485,0.17892443,0.0000898577,0.000263938,0.000004630917,0.00073104387,0.41632816,0.40144256,0.0008565332,0.0002214012,0.0005156458],"about_ca_topic_score_codex":0.00004494882,"about_ca_topic_score_gemma":0.000009928309,"teacher_disagreement_score":0.13282572,"about_ca_system_score_codex":0.000021352927,"about_ca_system_score_gemma":0.000016898779,"threshold_uncertainty_score":0.20096076},"labels":[],"label_agreement":null},{"id":"W2975783195","doi":"10.3390/app9194026","title":"Enhanced Exopolysaccharide Production by Lactobacillus rhamnosus in Co-Culture with Saccharomyces cerevisiae","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Université Laval","funders":"Novalait","keywords":"Lactobacillus rhamnosus; Fermentation; Microbiology; Bacteriocin; Operon; Bacteria; Biology; Food science; Lactobacillus; Biochemistry; Chemistry; Gene; Escherichia coli; Antimicrobial; Genetics","score_opus":0.009301960733248871,"score_gpt":0.21232009826708814,"score_spread":0.20301813753383927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975783195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791819,0.00013945955,0.0000044022777,0.0006854161,0.00010745453,0.00049032405,0.000016023341,0.000056595632,0.01931845],"genre_scores_gemma":[0.9990061,0.00009220473,0.00010583774,0.00018266318,0.000071004506,0.000027416827,0.00002645575,0.0000010730494,0.0004872588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840546,0.000025014255,0.000198506,0.0006131628,0.00035755287,0.00040031626],"domain_scores_gemma":[0.99967235,0.00003780906,0.00011390833,0.00007518173,0.00002848517,0.000072247756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033774972,0.00018162566,0.00020822792,0.000025875825,0.00021882907,0.00012981209,0.0004015511,0.00008984542,0.00027077075],"category_scores_gemma":[0.000009156518,0.00006341289,0.000031855103,0.000862953,0.00020439857,0.0002118948,0.00004363893,0.00015685591,0.00010698063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038072558,0.00007090662,0.003285309,0.0000065424765,0.000005327851,5.43379e-7,0.00018426785,0.000018929964,0.9858072,0.0009870604,0.0004390834,0.009156792],"study_design_scores_gemma":[0.0006901701,0.0014760876,0.023992846,0.00010856166,0.000015124676,0.000013918402,0.00504978,0.00005765761,0.94849163,0.0009889957,0.018183388,0.00093186396],"about_ca_topic_score_codex":0.00008533314,"about_ca_topic_score_gemma":0.00024727988,"teacher_disagreement_score":0.037315555,"about_ca_system_score_codex":0.000032562515,"about_ca_system_score_gemma":0.000016625041,"threshold_uncertainty_score":0.296475},"labels":[],"label_agreement":null},{"id":"W2975944797","doi":"10.3390/app9193964","title":"JFET Integration Using a Foundry SOI Photonics Platform","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Silicon on insulator; Photonics; Electronics; JFET; Microelectronics; Silicon photonics; Photodetector; Integrated circuit; Waveguide; Transistor; Electrical engineering; Engineering; Optoelectronics; Electronic engineering; Materials science; Field-effect transistor; Silicon; Voltage","score_opus":0.025537561549781047,"score_gpt":0.24482465154033628,"score_spread":0.21928708999055524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975944797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.779059,0.00007648506,0.0019274809,0.00000703952,0.0002593952,0.00012347195,0.0000010687352,0.00010415223,0.2184419],"genre_scores_gemma":[0.99360305,0.000015036684,0.006214482,0.00008644314,0.000018885583,0.000006665083,0.0000015557624,0.0000071458176,0.000046725076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993001,0.0000017690671,0.000120525874,0.00015797609,0.00019376914,0.000225833],"domain_scores_gemma":[0.9997775,0.00004528767,0.000018440542,0.00010637498,0.000009055363,0.00004333162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019379659,0.00009103836,0.00010609665,0.000071988754,0.00008823906,0.00008613428,0.00019686155,0.0000499573,0.00011944474],"category_scores_gemma":[0.0000039974525,0.00007251509,0.000024678639,0.0003487826,0.000090106005,0.0002273431,0.000025821875,0.00009523726,0.00022866977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015664933,0.000037593883,0.0005505385,0.00010411467,0.000035739493,0.000002373763,0.0013870092,0.089921795,0.39702782,0.49416426,0.00014999467,0.016603095],"study_design_scores_gemma":[0.00012682915,0.000022252474,0.00017423737,0.000019524316,0.0000062721797,0.0000030750068,0.0005981439,0.9624828,0.02991751,0.004334939,0.002141088,0.00017329842],"about_ca_topic_score_codex":0.0000126193745,"about_ca_topic_score_gemma":0.00001945697,"teacher_disagreement_score":0.87256104,"about_ca_system_score_codex":0.00004385626,"about_ca_system_score_gemma":0.000034633882,"threshold_uncertainty_score":0.29570794},"labels":[],"label_agreement":null},{"id":"W2976131728","doi":"10.3390/app9194044","title":"In-Situ Continuous Monitoring of the Viscosity of Surfactant-Stabilized and Nanoparticles-Stabilized Pickering Emulsions","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pickering emulsion; Pulmonary surfactant; Rheology; Materials science; Volume fraction; Chemical engineering; Viscosity; Emulsion; Phase (matter); Shear rate; Nanoparticle; Volume (thermodynamics); Chromatography; Chemistry; Nanotechnology; Composite material; Organic chemistry; Thermodynamics","score_opus":0.01706877787665388,"score_gpt":0.25820942265941144,"score_spread":0.24114064478275754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976131728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845004,0.000065357206,0.000022644072,0.00005843472,0.00027440945,0.00035746137,0.000003833943,0.000016894386,0.0007509513],"genre_scores_gemma":[0.99898046,0.000009008396,0.00096621976,0.0000074365857,0.000007688482,0.000009828974,1.1625839e-7,0.00000536554,0.000013898473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867,0.00007546449,0.00038345525,0.00029567225,0.00032147733,0.00025391998],"domain_scores_gemma":[0.9992041,0.0002432716,0.000178727,0.00028492234,0.000044561384,0.00004444642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085570826,0.00010183646,0.0002666155,0.000055568733,0.00013950143,0.00003280583,0.0003035963,0.000037712154,0.00005151813],"category_scores_gemma":[0.00009774505,0.00006915231,0.00003435491,0.0005094287,0.00049816765,0.00016530155,0.00019606188,0.00005947334,0.000006532633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023575156,0.000034003544,0.1693373,0.000025949616,9.71979e-7,1.0746509e-7,0.00090192404,0.000602825,0.82759506,0.0013261004,6.8635165e-7,0.00015147204],"study_design_scores_gemma":[0.00042268098,0.000042421398,0.11983426,0.000048701855,0.0000052430387,8.824259e-7,0.00131149,0.000323474,0.87745076,0.00046601993,0.000013670174,0.000080374964],"about_ca_topic_score_codex":0.000098058714,"about_ca_topic_score_gemma":0.000051453913,"teacher_disagreement_score":0.0498557,"about_ca_system_score_codex":0.000020066705,"about_ca_system_score_gemma":0.000050777977,"threshold_uncertainty_score":0.28199494},"labels":[],"label_agreement":null},{"id":"W2977598638","doi":"10.3390/app9194157","title":"Optimization of River and Lake Monitoring Programs Using a Participative Approach and an Intelligent Decision-Support System","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Decision support system; Computer science; Process (computing); Operations research; Management science; Data mining; Engineering","score_opus":0.07519057579596118,"score_gpt":0.32342634681549437,"score_spread":0.2482357710195332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977598638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96503484,0.0000065086015,0.032953307,0.0000054277907,0.000050016322,0.00028577526,0.0000015744909,0.000014079952,0.0016484503],"genre_scores_gemma":[0.9069115,0.0000032332382,0.09304489,0.000007677432,0.000008705141,0.000011736811,0.0000013794607,0.0000024554463,0.000008418892],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990732,0.000035056833,0.00016979422,0.00026598148,0.00031122414,0.00014471792],"domain_scores_gemma":[0.99971753,0.000024727657,0.000089570254,0.000090028516,0.000005572303,0.00007257955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006964795,0.00007155374,0.000107920925,0.000026653732,0.0001299702,0.000057185647,0.000109094544,0.000028623168,0.000053035594],"category_scores_gemma":[0.0000025094637,0.000054849952,0.000009410352,0.00019198794,0.00044749165,0.00022055436,0.00011764527,0.00003244858,0.0000073231436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039168906,0.00022054181,0.47554064,0.00008308519,0.000014497212,6.370776e-7,0.021496955,0.4592969,0.00417799,0.006007082,0.000003861252,0.033118643],"study_design_scores_gemma":[0.000648848,0.0005777331,0.076366566,0.000113902905,0.000047623143,0.000014452632,0.035903517,0.8741075,0.010774957,0.00074655324,0.000199242,0.0004991347],"about_ca_topic_score_codex":0.00009542992,"about_ca_topic_score_gemma":0.000008615579,"teacher_disagreement_score":0.41481057,"about_ca_system_score_codex":0.000029182409,"about_ca_system_score_gemma":0.000010041913,"threshold_uncertainty_score":0.2236716},"labels":[],"label_agreement":null},{"id":"W2978236720","doi":"10.3390/app9194103","title":"Overview of Federated Facility to Harmonize, Analyze and Management of Missing Data in Cohorts","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Horizon 2020 Framework Programme","keywords":"Missing data; Raw data; Computer science; Data science; Observational study; Harmonization; Sample size determination; Data mining; Statistics","score_opus":0.0755158285083809,"score_gpt":0.32087985248252193,"score_spread":0.24536402397414103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978236720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844421,0.00009476483,0.00048101175,0.00018912187,0.000016723356,0.0005775763,0.000019004136,0.0000054852426,0.014174189],"genre_scores_gemma":[0.99623483,0.00014178312,0.0033930778,0.00019147628,0.000001225762,0.000006946431,0.0000053105246,0.0000025801444,0.00002275708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983454,0.0000484341,0.00029067943,0.0006514918,0.00042651655,0.0002374843],"domain_scores_gemma":[0.9993804,0.00006213244,0.00010321652,0.0003708067,0.000002405547,0.00008105172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018292601,0.00009415561,0.00021416724,0.000051734292,0.00007906003,0.00002174133,0.00037316207,0.000024314471,0.00039389552],"category_scores_gemma":[0.000013799105,0.00008485858,0.000009429053,0.000583737,0.0003309496,0.00019106292,0.00068992906,0.000055929493,0.00007272352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002409158,0.00014180472,0.7822938,0.00030681494,0.000016183922,0.0000073295255,0.00065217045,0.0007055962,0.04325409,0.00029179512,0.00007529885,0.17223103],"study_design_scores_gemma":[0.0002619403,0.000036450085,0.98992175,0.00008954322,0.000010044612,9.826757e-7,0.0005602838,0.0018793693,0.006076745,0.00029776283,0.0007217825,0.00014336275],"about_ca_topic_score_codex":0.000600739,"about_ca_topic_score_gemma":0.00014120176,"teacher_disagreement_score":0.20762794,"about_ca_system_score_codex":0.00004822629,"about_ca_system_score_gemma":0.000012491505,"threshold_uncertainty_score":0.43128797},"labels":[],"label_agreement":null},{"id":"W2978506667","doi":"10.3390/app9194078","title":"Effects of Polypropylene Fiber on the Liquefaction Resistance of Saturated Sand in Ring Shear Tests","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"Water Conservancy Science and Technology Project of Jiangsu Province; Government of Jiangsu Province; Fundamental Research Funds for the Central Universities; Disaster Prevention Research Institute, Kyoto University; Science and Technology Support Program of Jiangsu Province; National Natural Science Foundation of China","keywords":"Shearing (physics); Materials science; Composite material; Compaction; Geotechnical engineering; Shear (geology); Direct shear test; Fiber; Liquefaction; Geology","score_opus":0.005247256330330469,"score_gpt":0.1928728063601057,"score_spread":0.18762555002977524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978506667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377555,0.0000782677,0.00010032453,0.000022820192,0.00005190291,0.00016981254,3.7365e-7,0.000045408095,0.005755542],"genre_scores_gemma":[0.9998328,0.000010652547,0.0001033668,0.0000045452343,0.000004773025,0.000009318965,2.5513557e-7,0.00000472826,0.000029549645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954194,0.000008377975,0.000119290235,0.00009416202,0.00013790566,0.00009831526],"domain_scores_gemma":[0.9996508,0.00021395153,0.000023500128,0.00009043855,0.000009719441,0.000011640906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019837986,0.000056845864,0.0000929585,0.000057151985,0.00001816569,0.0000063828375,0.000094605166,0.00003874131,0.000008199957],"category_scores_gemma":[0.000039224044,0.000039364884,0.000012805758,0.00042863772,0.00004978858,0.000031652777,0.000008075242,0.00008022933,0.000006242793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000086639475,0.000011595646,0.0000970817,0.00015701303,0.0000025237068,1.02325195e-7,0.00011034688,0.617934,0.37771034,0.0032459446,0.0000101261085,0.00071229663],"study_design_scores_gemma":[0.00024190465,0.000066001696,0.04705392,0.0002377223,0.0000038818002,1.7649148e-7,0.00005206011,0.0502682,0.9012701,0.00057505234,0.0000985503,0.00013241344],"about_ca_topic_score_codex":0.00001328452,"about_ca_topic_score_gemma":0.000006022435,"teacher_disagreement_score":0.56766576,"about_ca_system_score_codex":0.000016513173,"about_ca_system_score_gemma":0.0000073570973,"threshold_uncertainty_score":0.16052534},"labels":[],"label_agreement":null},{"id":"W2978697398","doi":"10.3390/app9194108","title":"Intelligent Path Recognition against Image Noises for Vision Guidance of Automated Guided Vehicles in a Complex Workspace","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer vision; Workspace; Artificial intelligence; Computer science; Path (computing); Robot","score_opus":0.03140320844337511,"score_gpt":0.3062579520346528,"score_spread":0.27485474359127765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978697398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34073174,0.00009045479,0.6444325,0.0003397433,0.00025274983,0.0014398012,0.000008789377,0.0009579321,0.011746335],"genre_scores_gemma":[0.7642214,0.000021322687,0.23537783,0.0002644001,0.000014843511,0.00006473219,0.00000400948,0.0000053146455,0.000026199961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985492,0.00004175352,0.0003779202,0.00046073837,0.00029335808,0.00027700234],"domain_scores_gemma":[0.9991356,0.00017012477,0.0002091432,0.00028981065,0.0001583646,0.000036947862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000147,0.0001317271,0.00021370582,0.00027491254,0.000119113916,0.00014790377,0.00072549353,0.00006256781,0.000008610939],"category_scores_gemma":[0.00006996483,0.000114424445,0.000056113106,0.0010454605,0.00017679848,0.00048803506,0.000148297,0.000074979325,0.00003471388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034655837,0.00015619762,0.00021640751,0.00009771167,0.0000061923406,0.0000020157222,0.00085052557,0.0003163467,0.7550255,0.0028363236,0.0069209617,0.23353715],"study_design_scores_gemma":[0.0003192892,0.00023168947,0.0018937163,0.000115338786,0.0000020262853,0.0000016694399,0.0002549894,0.13493988,0.85442215,0.0069569056,0.00063876994,0.00022358757],"about_ca_topic_score_codex":0.000039654165,"about_ca_topic_score_gemma":0.00001193865,"teacher_disagreement_score":0.42348963,"about_ca_system_score_codex":0.000044806176,"about_ca_system_score_gemma":0.00007671351,"threshold_uncertainty_score":0.46660936},"labels":[],"label_agreement":null},{"id":"W2979563069","doi":"10.3390/app9204221","title":"AE-CGAN Model based High Performance Network Intrusion Detection System","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoencoder; Computer science; Artificial intelligence; Intrusion detection system; Random forest; Deep learning; Machine learning; Generative adversarial network; Intrusion; Pattern recognition (psychology); Data mining","score_opus":0.008783365596927568,"score_gpt":0.19159094287395487,"score_spread":0.1828075772770273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979563069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60494465,0.000018725055,0.38693646,0.00008300076,0.001050413,0.00024148768,2.680351e-7,0.00030815453,0.006416872],"genre_scores_gemma":[0.98041004,0.000011175629,0.01896146,0.0003309718,0.00019465249,0.00003165773,8.344042e-7,0.000007290902,0.000051899213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798226,0.000046401336,0.00026659106,0.00064604,0.0005964685,0.00046221793],"domain_scores_gemma":[0.9991601,0.00007100033,0.00015717653,0.0004707582,0.000052904594,0.00008803159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010172476,0.00017328726,0.00018383871,0.00014310713,0.0008108522,0.00026533904,0.0009767177,0.00010972603,0.000022721168],"category_scores_gemma":[0.000004469194,0.00014627502,0.00004387129,0.0013541585,0.00011045174,0.00070504,0.00022632052,0.00019963917,0.00031952484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034037203,0.000026362542,0.0002413178,0.00006347046,0.0000032554144,9.0426806e-7,0.0001864781,0.8418214,0.011464111,0.086832315,0.0001688063,0.059157558],"study_design_scores_gemma":[0.00021880267,0.00015219049,0.0004755039,0.000040944895,0.0000033103893,0.000006813012,0.000033261622,0.9722286,0.024787026,0.0015241316,0.00032269853,0.00020672118],"about_ca_topic_score_codex":0.000029796114,"about_ca_topic_score_gemma":0.000014240762,"teacher_disagreement_score":0.37546542,"about_ca_system_score_codex":0.0000856656,"about_ca_system_score_gemma":0.00009077559,"threshold_uncertainty_score":0.6236502},"labels":[],"label_agreement":null},{"id":"W2980039010","doi":"10.3390/app9204244","title":"Recommendation Agent Adoption: How Recommendation Presentation Influences Employees’ Perceptions, Behaviors, and Decision Quality","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Perception; Credibility; Transparency (behavior); Quality (philosophy); Decision quality; Psychology; Knowledge management; Control (management); Applied psychology; Cognition; Presentation (obstetrics); Computer science; Artificial intelligence; Medicine","score_opus":0.13996402043842146,"score_gpt":0.4320449959340808,"score_spread":0.29208097549565937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980039010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98388475,0.000013473352,0.008177882,0.0044017755,0.0005819669,0.00056731247,0.000020589889,0.0001773656,0.0021749048],"genre_scores_gemma":[0.9869081,0.000068764566,0.012243419,0.00035518917,0.000043534852,0.00006575971,0.00006012623,0.000009365711,0.00024576503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964532,0.00023037494,0.0007607449,0.0010738102,0.001146768,0.00033508023],"domain_scores_gemma":[0.9978354,0.0007706773,0.00053138344,0.00046465488,0.00026353414,0.00013436587],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047578416,0.00022899258,0.00030856804,0.0006432813,0.0007817869,0.0008440832,0.0007031183,0.00021357849,0.0030977516],"category_scores_gemma":[0.00040598237,0.00018239625,0.000068440284,0.0017139182,0.00046948597,0.0014851062,0.00025619005,0.00025414006,0.000526041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036543086,0.00011020386,0.6285021,0.0000032739058,0.0000041531202,2.7178345e-7,0.00055345014,0.00004934101,0.0062703313,0.0075139813,0.0024078963,0.35454848],"study_design_scores_gemma":[0.0006273459,0.0001873513,0.9603653,0.000011084325,0.000017748276,0.000008499013,0.0127932755,0.0003935096,0.00045534433,0.016714152,0.008083939,0.00034243843],"about_ca_topic_score_codex":0.000049328293,"about_ca_topic_score_gemma":0.00012832263,"teacher_disagreement_score":0.35420603,"about_ca_system_score_codex":0.00007409576,"about_ca_system_score_gemma":0.00007818382,"threshold_uncertainty_score":0.9978135},"labels":[],"label_agreement":null},{"id":"W2980214767","doi":"10.3390/app9204232","title":"An Accurate Probabilistic Model for TVWS Identification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"White spaces; Computer science; Cognitive radio; Ultra high frequency; False alarm; Telecommunications; Probabilistic logic; Real-time computing; Computer network; Wireless; Artificial intelligence","score_opus":0.032326642318558155,"score_gpt":0.2828793391176872,"score_spread":0.25055269679912906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980214767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16264631,0.00001081813,0.83248144,0.00023443504,0.00017966409,0.00046564353,0.0000012885755,0.00009149365,0.0038889337],"genre_scores_gemma":[0.96904266,0.0000019993422,0.03056406,0.00018570259,0.00004944144,0.000027466951,0.0000021598805,0.0000042894258,0.00012221996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998766,0.000014839136,0.00016983235,0.0005459639,0.00022728246,0.00027609698],"domain_scores_gemma":[0.9993594,0.00011129436,0.00009084187,0.0003216064,0.00005842981,0.000058406556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070769864,0.00009076593,0.00010581349,0.00006845761,0.00029054773,0.00048266415,0.00071656046,0.000029264826,0.0000034401285],"category_scores_gemma":[0.0000144754085,0.00007671841,0.000030755782,0.00040895774,0.00009740912,0.00057190034,0.000048810343,0.00004760997,0.00003679817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057359593,0.00003889795,0.00006835802,0.000009738885,0.0000031340387,2.1061109e-7,0.0006534871,0.11257363,0.023671014,0.82504964,0.00012989854,0.037796237],"study_design_scores_gemma":[0.00010896771,0.000041576674,0.00034439412,0.0000041156623,0.0000024517708,0.0000015065851,0.00004172886,0.91903555,0.0010078775,0.07923677,0.00005713053,0.00011789918],"about_ca_topic_score_codex":0.0000026038183,"about_ca_topic_score_gemma":0.000013054152,"teacher_disagreement_score":0.80646193,"about_ca_system_score_codex":0.000022349755,"about_ca_system_score_gemma":0.00009006024,"threshold_uncertainty_score":0.46543416},"labels":[],"label_agreement":null},{"id":"W2980519294","doi":"10.3390/app9204392","title":"Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Reliability (semiconductor); Probabilistic logic; Energy storage; Computer science; Range (aeronautics); Context (archaeology); Engineering; Power (physics)","score_opus":0.015182859405519515,"score_gpt":0.21741982858064507,"score_spread":0.20223696917512554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980519294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5800568,0.00083112443,0.36648646,0.00016199685,0.0033494262,0.0019408246,0.00027320866,0.00047541392,0.04642478],"genre_scores_gemma":[0.9995131,0.000012458819,0.00012954246,0.000008862034,0.00002755337,0.00023700073,0.000014612762,0.000005857335,0.000051008425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988626,0.000038208153,0.00029407567,0.0002871831,0.00015621095,0.00036172036],"domain_scores_gemma":[0.9993615,0.00032132398,0.000047769976,0.00019612319,0.000031153017,0.000042095235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017882449,0.000104439205,0.00025012353,0.00004887892,0.00011459293,0.000043384327,0.00020019607,0.000070837596,0.0000047997087],"category_scores_gemma":[0.00009144491,0.00008952359,0.00005127363,0.0003451496,0.00011031736,0.00017106155,0.000028154904,0.00007736645,0.000013649794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002346135,0.000065257416,0.0006244984,0.00040826394,0.000016802727,4.5613902e-7,0.0005498738,0.4292002,0.013759419,0.55015504,0.0016347881,0.0035619219],"study_design_scores_gemma":[0.00065448263,0.000097931406,0.0050932155,0.00019516693,0.000015258359,0.0000035079365,0.0049427035,0.8951681,0.005466618,0.0073332875,0.08044161,0.00058810186],"about_ca_topic_score_codex":0.00011901598,"about_ca_topic_score_gemma":0.00006539514,"teacher_disagreement_score":0.54282176,"about_ca_system_score_codex":0.00022180789,"about_ca_system_score_gemma":0.00004258653,"threshold_uncertainty_score":0.36506662},"labels":[],"label_agreement":null},{"id":"W2980659822","doi":"10.3390/app9204313","title":"Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Masonry; Mortar; Compressive strength; Flexural strength; Bond strength; Brick; Materials science; Composite material; Structural engineering; Geotechnical engineering; Adhesive; Geology; Engineering","score_opus":0.0058861034414583995,"score_gpt":0.228276378626149,"score_spread":0.2223902751846906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980659822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59154725,0.00008607664,0.40528256,0.0000046297864,0.0000073321903,0.00027480235,6.4064625e-7,0.00006045396,0.002736245],"genre_scores_gemma":[0.94144225,0.000008776485,0.05845979,0.000012470413,0.000007868522,0.000041849355,0.0000019637876,0.0000045908178,0.000020417361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991774,0.000012638292,0.00017365061,0.0002562941,0.00019201875,0.0001880034],"domain_scores_gemma":[0.999555,0.00012236014,0.000054178847,0.00019808045,0.000030839416,0.000039556646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328961,0.0000978038,0.00020636564,0.00024269443,0.00009734283,0.000054596774,0.00023321735,0.00004926645,0.000040141924],"category_scores_gemma":[0.000007921558,0.00008052764,0.00004052107,0.0015843645,0.000090707246,0.00019031514,0.00003714891,0.000055252403,0.000004082701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003876921,0.000010524529,0.00696203,0.00013826019,0.0002566955,0.0000030230865,0.00073841953,0.7466039,0.095768124,0.07751522,0.00004752172,0.071917474],"study_design_scores_gemma":[0.000091213034,0.00006180677,0.0027163068,0.000012169446,0.00019931026,0.0000040926834,0.0019138457,0.9685118,0.010136018,0.015858674,0.00021898407,0.00027578228],"about_ca_topic_score_codex":0.000020346171,"about_ca_topic_score_gemma":0.0000043418418,"teacher_disagreement_score":0.34989503,"about_ca_system_score_codex":0.000014493751,"about_ca_system_score_gemma":0.000013704172,"threshold_uncertainty_score":0.3283822},"labels":[],"label_agreement":null},{"id":"W2980750571","doi":"10.3390/app9204445","title":"Chalcogenide–Tellurite Composite Photonic Crystal Fiber: Extreme Non-Linearity Meets Large Birefringence","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Dalhousie University","keywords":"Photonic-crystal fiber; Materials science; Chalcogenide; Cladding (metalworking); Optics; Birefringence; Refractive index; Wavelength; Zero-dispersion wavelength; Optical fiber; Optoelectronics; Chalcogenide glass; Plastic optical fiber; Multi-mode optical fiber; Physics; Composite material","score_opus":0.016494448137440346,"score_gpt":0.21436005770362113,"score_spread":0.19786560956618077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980750571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290978,0.00035710516,0.00041684412,0.000030584557,0.00043802755,0.0003710565,0.00003116998,0.00029781475,0.068959646],"genre_scores_gemma":[0.9971719,0.00007048333,0.0021239195,0.000067158784,0.000062028346,0.000023989589,0.000008340514,0.000025893818,0.00044631062],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808604,0.000008262172,0.00029398198,0.00047352628,0.0004444528,0.0006937333],"domain_scores_gemma":[0.9993607,0.00006159867,0.00005162323,0.00035150952,0.000025354635,0.00014924162],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043796166,0.0002602923,0.00028251906,0.00011296692,0.00023052495,0.00012189757,0.00057997473,0.00010399617,0.00044751418],"category_scores_gemma":[0.000003253146,0.00024068824,0.00008636662,0.0005563233,0.00017950237,0.00020642678,0.00017362834,0.00023842877,0.00085725536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018788953,0.000098576136,0.0010571775,0.000151463,0.000049425267,0.000012452106,0.0010771331,0.014470422,0.9782328,0.0025786362,0.0002451744,0.0020079233],"study_design_scores_gemma":[0.0014555606,0.00017576014,0.0025467773,0.000104663755,0.000047884452,0.000056656256,0.0005317313,0.70481336,0.17856672,0.0010709064,0.10905716,0.0015727957],"about_ca_topic_score_codex":0.0000107013675,"about_ca_topic_score_gemma":0.000022864626,"teacher_disagreement_score":0.7996661,"about_ca_system_score_codex":0.000053727235,"about_ca_system_score_gemma":0.0000449088,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W2981127692","doi":"10.3390/app9204360","title":"Toward Development of a Vocal Fold Contact Pressure Probe: Bench-Top Validation of a Dual-Sensor Probe Using Excised Human Larynx Models","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Comisión Nacional de Investigación Científica y Tecnológica; National Institutes of Health; National Institute on Deafness and Other Communication Disorders; Voice Health Institute","keywords":"Phonation; Articulatory phonetics; Acoustics; Vocal folds; Larynx; Pressure sensor; Vocal tract; Materials science; Biomedical engineering; Physics; Engineering; Anatomy; Medicine; Audiology","score_opus":0.06802355441986882,"score_gpt":0.30760293026257224,"score_spread":0.23957937584270342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981127692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903241,0.000097708995,0.003137962,0.0001042553,0.000039112227,0.001166492,0.000002945581,0.000024441271,0.005102999],"genre_scores_gemma":[0.98222613,0.0000032220864,0.017496446,0.00006293781,0.000017425547,0.000026193087,0.00001032337,0.000009130046,0.00014816309],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833685,0.000018756577,0.0004159341,0.00033716278,0.00064341247,0.0002478893],"domain_scores_gemma":[0.99938834,0.000030113737,0.00022626558,0.00018729271,0.00010489041,0.0000630717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005308949,0.00013763591,0.00035885136,0.00014735549,0.00010667524,0.000018759916,0.00015054682,0.00008212921,0.00007208539],"category_scores_gemma":[0.0000146429375,0.00010809451,0.00005472102,0.00034841,0.00014536965,0.00017314928,0.000055648557,0.00008922703,0.0000056965737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008165008,0.0002458013,0.007853295,0.0004867645,0.000059494094,0.000001444826,0.005883573,0.0009039339,0.9771298,0.0064653535,0.000025021862,0.0008638711],"study_design_scores_gemma":[0.0034206018,0.00060254784,0.010282309,0.00041141856,0.00020068474,0.000011598612,0.0057222964,0.0080275275,0.96663886,0.0038816456,0.0003961263,0.00040438515],"about_ca_topic_score_codex":0.000058768983,"about_ca_topic_score_gemma":0.000009418419,"teacher_disagreement_score":0.014358483,"about_ca_system_score_codex":0.00002147754,"about_ca_system_score_gemma":0.00038447554,"threshold_uncertainty_score":0.4407966},"labels":[],"label_agreement":null},{"id":"W2981368334","doi":"10.3390/app9204465","title":"Rolling Bearing Incipient Fault Detection Based on a Multi-Resolution Singular Value Decomposition","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China; University of Ottawa","keywords":"Impulse (physics); Acoustics; SIGNAL (programming language); Singular spectrum analysis; Singular value decomposition; Computer science; Control theory (sociology); Algorithm; Physics; Artificial intelligence","score_opus":0.010974494085796906,"score_gpt":0.2750119624733261,"score_spread":0.2640374683875292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981368334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7372669,0.00002419973,0.2570999,0.000020410318,0.00022111431,0.00039060603,0.0000014455308,0.0006786988,0.0042967293],"genre_scores_gemma":[0.9667541,0.0000038489184,0.032996077,0.00010475327,0.00004020544,0.000073655705,0.0000055231176,0.000018731707,0.0000030990534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879336,0.000023023282,0.00020270175,0.00033197182,0.00036528546,0.00028364843],"domain_scores_gemma":[0.9995938,0.000095784075,0.000047670546,0.00019100613,0.000019138703,0.000052610616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055544585,0.00016215783,0.0001421542,0.00025915095,0.00021370577,0.00009733135,0.00020634184,0.00008441249,0.000016522574],"category_scores_gemma":[0.000019950405,0.0001575455,0.000046864305,0.00040562908,0.000050358092,0.00013937413,0.000027795455,0.00017257326,0.00007821876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062205163,0.00003613385,0.0005844862,0.000017364888,0.00000318018,4.1542154e-7,0.000067201196,0.8279491,0.16609982,0.00048607832,0.000010354764,0.0047396612],"study_design_scores_gemma":[0.00019329957,0.00006861747,0.001937352,0.00004417432,0.000005011759,6.4579797e-7,0.000015873835,0.7710927,0.2262267,0.00012814815,0.00013343076,0.00015400724],"about_ca_topic_score_codex":0.000058752095,"about_ca_topic_score_gemma":0.000021749072,"teacher_disagreement_score":0.22948721,"about_ca_system_score_codex":0.00016269162,"about_ca_system_score_gemma":0.000013652662,"threshold_uncertainty_score":0.6424519},"labels":[],"label_agreement":null},{"id":"W2981381292","doi":"10.3390/app9214485","title":"Predicting Far-Field Noise Generated by a Landing Gear Using Multiple Two-Dimensional Simulations","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Taibah University","keywords":"Strouhal number; Noise (video); Computational fluid dynamics; Near and far field; Acoustics; Cylinder; Flow (mathematics); Physics; Turbulence; Mathematics; Mechanics; Geometry; Computer science; Optics","score_opus":0.013562908158720141,"score_gpt":0.23719868217071424,"score_spread":0.2236357740119941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981381292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98121166,0.000047643585,0.0156026585,0.000010476969,0.00036563422,0.0001412825,0.000021216658,0.00012758253,0.0024718668],"genre_scores_gemma":[0.992807,0.0000016014038,0.006985341,0.00006907985,0.00007578478,0.0000032231112,0.0000121890935,0.000014463951,0.00003135629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914885,0.0000057411257,0.00015808214,0.00021195425,0.00021944878,0.00025594514],"domain_scores_gemma":[0.9996003,0.00019224515,0.000030406043,0.000106791194,0.000019761259,0.000050506747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017152676,0.000109311164,0.000107891006,0.000060234204,0.0002600426,0.000076416974,0.00015210808,0.000049543443,0.00006809793],"category_scores_gemma":[0.000023117042,0.00010142507,0.0000207249,0.0002859645,0.000041664127,0.00009054484,0.00004811437,0.00012427456,0.000022303282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.131924e-7,0.000003992313,0.004847574,0.0000036188471,0.0000044804506,2.3345861e-7,0.00003593071,0.6526839,0.3420768,0.00015808314,0.000052358224,0.00013208707],"study_design_scores_gemma":[0.00019849352,0.000010065421,0.00007707897,0.000010606726,0.000006563037,0.000001179332,0.000054940145,0.99442244,0.0049077743,0.0001083794,0.00006577504,0.00013672301],"about_ca_topic_score_codex":0.000039598952,"about_ca_topic_score_gemma":0.000023628567,"teacher_disagreement_score":0.3417385,"about_ca_system_score_codex":0.000032153923,"about_ca_system_score_gemma":0.000021110714,"threshold_uncertainty_score":0.41359943},"labels":[],"label_agreement":null},{"id":"W2981793643","doi":"10.3390/app9214483","title":"ARPS: A Framework for Development, Simulation, Evaluation, and Deployment of Multi-Agent Systems","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Software deployment; Computer science; Distributed computing; Scenario testing; Systems engineering; Risk analysis (engineering); Software engineering; Variety (cybernetics); Engineering; Artificial intelligence","score_opus":0.09291840789326851,"score_gpt":0.3467847353145672,"score_spread":0.2538663274212987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981793643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22815762,0.00025839085,0.76954585,0.000038971444,0.0004076082,0.0013929893,0.0000010597462,0.00003494919,0.00016254827],"genre_scores_gemma":[0.8861039,0.00000293496,0.113626465,0.00004149028,0.000023335746,0.00015418878,0.0000015846364,0.0000041785856,0.000041906787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836123,0.000043305634,0.00038724087,0.0004348158,0.00058033323,0.00019309111],"domain_scores_gemma":[0.99893004,0.0003207182,0.0002849376,0.00024095009,0.00016922966,0.000054140477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019200018,0.000108572254,0.0001750463,0.00011504505,0.00020516067,0.00013525227,0.00038395217,0.000054660883,0.00000714257],"category_scores_gemma":[0.00006727737,0.00008840352,0.000022806495,0.0003222241,0.00004982029,0.00023341512,0.00008171237,0.00003238383,0.000019762649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015297632,0.0002233266,0.025213815,0.00039921695,0.0000722704,1.5434203e-7,0.010639132,0.30411655,0.009400123,0.6129193,0.00012892805,0.0368719],"study_design_scores_gemma":[0.0005452295,0.000044044835,0.008761828,0.00006882915,0.0000071159548,5.402631e-7,0.00028674648,0.9844517,0.0026835133,0.0013793219,0.0016118031,0.00015931125],"about_ca_topic_score_codex":0.000014012134,"about_ca_topic_score_gemma":0.000004529662,"teacher_disagreement_score":0.68033516,"about_ca_system_score_codex":0.000041097373,"about_ca_system_score_gemma":0.00014291264,"threshold_uncertainty_score":0.36049908},"labels":[],"label_agreement":null},{"id":"W2981953956","doi":"10.3390/app9214492","title":"A Novel Bio-Inspired Method for Early Diagnosis of Breast Cancer through Mammographic Image Analysis","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"AI in cancer detection","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Segmentation; Maximization; Computer science; Image segmentation; Artificial intelligence; Breast cancer; Heuristics; Pattern recognition (psychology); Mathematics; Medicine; Cancer; Mathematical optimization","score_opus":0.02151344844375577,"score_gpt":0.3031006696960022,"score_spread":0.28158722125224644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981953956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14200294,0.00007760762,0.8551579,0.000769813,0.00030922747,0.00049235154,0.000053513624,0.00009147136,0.0010451658],"genre_scores_gemma":[0.6767611,0.000024470857,0.32267043,0.00016171702,0.00003452347,0.0003232258,6.560842e-7,0.000005942808,0.000017940834],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997939,0.000027419306,0.00031177755,0.0008045905,0.0005394018,0.00037781155],"domain_scores_gemma":[0.99866605,0.00031208745,0.00029789703,0.00052886433,0.00013739565,0.000057694204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008312894,0.00016866307,0.00035587876,0.00041402085,0.00020817468,0.00016761421,0.0013346528,0.00007019437,0.000045364588],"category_scores_gemma":[0.000008994411,0.0001421884,0.00022433797,0.0055840192,0.00028695588,0.00070569816,0.00017532754,0.00007601699,0.000009215758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013417851,0.00050922186,0.2948419,0.00025378953,0.0014186605,0.0000010183117,0.0055158543,0.009679495,0.36604998,0.15589459,0.0006585663,0.16504277],"study_design_scores_gemma":[0.0023927945,0.000696461,0.4445346,0.00009443459,0.00083692116,0.000012656478,0.00062066,0.22894455,0.29381847,0.024936588,0.0016121314,0.0014997136],"about_ca_topic_score_codex":0.0018045926,"about_ca_topic_score_gemma":0.000247229,"teacher_disagreement_score":0.53475815,"about_ca_system_score_codex":0.000048176807,"about_ca_system_score_gemma":0.00012292694,"threshold_uncertainty_score":0.5798275},"labels":[],"label_agreement":null},{"id":"W2981974467","doi":"10.3390/app9214487","title":"Gridded Visibility Products over Marine Environments Based on Artificial Neural Network Analysis","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Visibility; Artificial neural network; Computer science; Satellite; Remote sensing; Meteorology; Artificial intelligence; Environmental science; Geography; Engineering","score_opus":0.00941428873002787,"score_gpt":0.21662829045087154,"score_spread":0.20721400172084367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981974467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685851,0.0000026020803,0.00030016084,0.00020238389,0.00017748737,0.00035808,0.0000017053673,0.000031079922,0.03034143],"genre_scores_gemma":[0.99652094,8.329785e-7,0.002019951,0.00085685914,0.00008882709,0.000019702944,0.000007711526,0.0000078926,0.00047725675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975098,0.000044220025,0.00024734062,0.0009026785,0.0008061924,0.0004898102],"domain_scores_gemma":[0.99919885,0.000064322885,0.00012364627,0.00050983,0.0000018705251,0.000101461796],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006746455,0.00019373547,0.00023640515,0.000005183329,0.00030089507,0.000067976885,0.0004542291,0.000055050215,0.009110405],"category_scores_gemma":[0.000011945614,0.00014881496,0.00008671806,0.0015751446,0.00051346957,0.00011704376,0.00025200343,0.00012194546,0.0009732009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040291416,0.00011610165,0.5450464,0.000001659867,0.000013741245,8.6064694e-7,0.000034795,0.4449673,0.005145742,0.00027680828,0.00032771676,0.004028573],"study_design_scores_gemma":[0.00016314848,0.00013488324,0.8550965,0.0000011525666,0.000051763473,1.4478042e-7,0.0000415671,0.14124803,0.0013369457,0.0006794517,0.0009920454,0.00025433302],"about_ca_topic_score_codex":0.00012243661,"about_ca_topic_score_gemma":0.00006211464,"teacher_disagreement_score":0.31005013,"about_ca_system_score_codex":0.00008637575,"about_ca_system_score_gemma":0.000014376273,"threshold_uncertainty_score":0.9998047},"labels":[],"label_agreement":null},{"id":"W2985672745","doi":"10.3390/app9224787","title":"Effects of Ultrasonic Impact Treatment on the Stress-Controlled Fatigue Performance of Additively Manufactured DMLS Ti-6Al-4V Alloy","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Carleton University","funders":"Mitacs","keywords":"Direct metal laser sintering; Materials science; Residual stress; Surface roughness; Composite material; Fatigue limit; Porosity; Metallurgy; Microstructure","score_opus":0.010507246793735108,"score_gpt":0.22434119340668593,"score_spread":0.21383394661295083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985672745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922905,0.00009972508,0.000020966485,0.000010510999,0.00013750445,0.00071119616,0.000086221065,0.00004414879,0.006599231],"genre_scores_gemma":[0.9996239,0.00011881505,0.000047127913,0.000013722301,0.000037751586,0.00009228505,0.000007611482,0.000012810927,0.000045972185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902695,0.000024039253,0.00022588385,0.00020179458,0.00026302366,0.00025827723],"domain_scores_gemma":[0.99881494,0.0008347045,0.00013536685,0.00015878322,0.000020498992,0.000035699588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018681346,0.00022341861,0.00041363933,0.0000703504,0.000082636434,0.00003412439,0.00028646374,0.000049145114,0.0003877197],"category_scores_gemma":[0.000020739959,0.00011490357,0.00008730682,0.00012480203,0.00016803999,0.000081440136,0.000016609594,0.00006020912,0.00003055931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007513393,0.00025567962,0.0010787809,0.000999194,0.00052100315,0.00000188988,0.0014941973,0.19363625,0.79032546,0.0027655647,0.00027747414,0.007893171],"study_design_scores_gemma":[0.001009871,0.00055814034,0.022059057,0.00009383977,0.00002446984,4.1185237e-7,0.00008290296,0.0007673017,0.9751049,0.00011175834,0.000054018652,0.00013328377],"about_ca_topic_score_codex":0.000017025548,"about_ca_topic_score_gemma":0.0000023992882,"teacher_disagreement_score":0.19286895,"about_ca_system_score_codex":0.000035663943,"about_ca_system_score_gemma":0.00003823143,"threshold_uncertainty_score":0.46856314},"labels":[],"label_agreement":null},{"id":"W2985823622","doi":"10.3390/app9214613","title":"Experimental Investigation of Thin PCM Packages and Thermal Spreader for Thermal Management of Portable Electronic Devices","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Overheating (electricity); Thermal; Heat spreader; Phase-change material; Composite material; Mechanical engineering; Heat sink; Phase change; Optoelectronics; Engineering physics; Electrical engineering; Engineering; Thermodynamics","score_opus":0.02883643068408962,"score_gpt":0.2737564794653086,"score_spread":0.244920048781219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985823622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99495405,0.0004722373,0.000049582035,0.000015124692,0.000039889484,0.0003804828,0.0000047156113,0.000021057002,0.0040628794],"genre_scores_gemma":[0.9992254,0.000013353767,0.0006502369,0.000009748002,0.000013448289,0.000054114913,0.0000032937144,0.000007447842,0.000022997327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993612,0.000007429187,0.00012046771,0.00012682998,0.00017888898,0.00020514283],"domain_scores_gemma":[0.99981916,0.000029951472,0.00003534559,0.00008336402,0.000009507781,0.000022683507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033467918,0.00006813815,0.000108368,0.00005212319,0.000031619402,0.000021988133,0.0001530612,0.000022810531,0.000067564804],"category_scores_gemma":[7.750476e-7,0.00005565751,0.0000121739795,0.00010639746,0.00013488563,0.00011664525,0.00003998014,0.000024557112,0.000003080144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008911597,0.0000069367766,0.00038024652,0.00018390159,0.000017465129,8.0241186e-8,0.0005962866,0.0009367156,0.9935146,0.004029805,0.000013420418,0.0003116181],"study_design_scores_gemma":[0.00021609341,0.00006308242,0.002499013,0.000020189453,0.0000044900958,2.0171784e-7,0.0013083816,0.0028061469,0.99272925,0.0002659187,0.00002438453,0.000062853156],"about_ca_topic_score_codex":0.00000974486,"about_ca_topic_score_gemma":0.0000020002144,"teacher_disagreement_score":0.0042713275,"about_ca_system_score_codex":0.000013112598,"about_ca_system_score_gemma":0.00001327758,"threshold_uncertainty_score":0.22696474},"labels":[],"label_agreement":null},{"id":"W2986129999","doi":"10.3390/app9214674","title":"Investigation on Roof Segmentation for 3D Building Reconstruction from Aerial LIDAR Point Clouds","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Point cloud; Lidar; Segmentation; Computer science; Photogrammetry; Facade; Cluster analysis; Roof; Artificial intelligence; 3D reconstruction; Remote sensing; Computer vision; Data mining; Geography","score_opus":0.021601656618048595,"score_gpt":0.24069335834019484,"score_spread":0.21909170172214626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986129999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731608,0.0000020571104,0.006159538,0.0003365008,0.0004077,0.0005424368,0.0000068618165,0.00005417318,0.019329926],"genre_scores_gemma":[0.8961153,0.0000012079065,0.103404686,0.00024648887,0.0001272148,0.000017242,0.000016149901,0.0000068041527,0.00006489963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890214,0.00002115124,0.00017968658,0.00044124344,0.00027506863,0.00018072358],"domain_scores_gemma":[0.9995301,0.00011489357,0.00012437273,0.00016743483,0.000006374482,0.00005682429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003687581,0.00010070817,0.00009592688,0.000038022896,0.00033364646,0.00008906513,0.00015661055,0.0000542271,0.00026701242],"category_scores_gemma":[0.000016303959,0.000090362766,0.000030272706,0.00027142762,0.00025880866,0.0001757374,0.000033517932,0.000060438713,0.00039168366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024031051,0.000011116786,0.002077864,0.0000022089287,0.0000037954505,3.3831313e-8,0.0005098442,0.0031103713,0.90037054,0.0031020406,0.00038601682,0.09040213],"study_design_scores_gemma":[0.0011417138,0.0003012666,0.014216874,0.000042546315,0.00003126593,0.0000052109185,0.001642498,0.037121855,0.8540471,0.08629163,0.0046116635,0.00054636813],"about_ca_topic_score_codex":0.00024929972,"about_ca_topic_score_gemma":0.00003190624,"teacher_disagreement_score":0.09724515,"about_ca_system_score_codex":0.000103078295,"about_ca_system_score_gemma":0.000020164993,"threshold_uncertainty_score":0.5034432},"labels":[],"label_agreement":null},{"id":"W2987309209","doi":"10.3390/app9214719","title":"A Review of Neurotransmitters Sensing Methods for Neuro-Engineering Research","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval; Université de Montréal; Hôpital du Saint-Sacrement","funders":"","keywords":"Neuroscience; Computer science; Brain function; Biochemical engineering; Nanotechnology; Biology; Materials science; Engineering","score_opus":0.49913771317110833,"score_gpt":0.5782570302174581,"score_spread":0.07911931704634978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987309209","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000893617,0.99162483,0.0011044918,0.00022956156,0.0009515002,0.004953868,0.00002537841,0.000077396435,0.0010240488],"genre_scores_gemma":[0.000008460516,0.99468964,0.0025096636,0.0022233895,0.00009948273,0.00027047444,9.2739737e-7,0.00007826556,0.00011970239],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99282134,0.0016726956,0.0010137559,0.0020100933,0.0011043202,0.0013778135],"domain_scores_gemma":[0.981386,0.01715096,0.00040501397,0.0007290739,0.00012604235,0.0002029084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007830219,0.0005084091,0.001968287,0.0011505706,0.00056560227,0.00013687996,0.002726258,0.00017018408,0.00003226499],"category_scores_gemma":[0.004255105,0.00039451168,0.00056281436,0.005352062,0.0017291603,0.00019361528,0.00050416315,0.0013192833,0.00008184604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007223706,0.000034075114,3.6523094e-8,0.116596125,0.0000052811174,0.000011168795,0.0000154949,0.00000643906,0.11899387,0.0010359529,0.0010022201,0.7622921],"study_design_scores_gemma":[0.000120565834,0.00023427418,3.982432e-8,0.017279439,0.00012767948,0.00009084711,0.0000034254429,0.0005047621,0.02421351,0.00005468294,0.95703334,0.00033741008],"about_ca_topic_score_codex":0.0000016694394,"about_ca_topic_score_gemma":5.207458e-8,"teacher_disagreement_score":0.95603114,"about_ca_system_score_codex":0.000045386452,"about_ca_system_score_gemma":0.00089944684,"threshold_uncertainty_score":0.9998507},"labels":[],"label_agreement":null},{"id":"W2990756991","doi":"10.3390/app9235108","title":"Artificial Intelligence-Based Controller for DC-DC Flyback Converter","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Majmaah University; King Khalid University","keywords":"Adaptive neuro fuzzy inference system; Control theory (sociology); PID controller; Computer science; MATLAB; Controller (irrigation); Control engineering; Flyback converter; Voltage; Fuzzy logic; Engineering; Artificial intelligence; Fuzzy control system; Boost converter; Control (management); Temperature control; Electrical engineering","score_opus":0.024393159721893966,"score_gpt":0.24554913388894267,"score_spread":0.2211559741670487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990756991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031277385,0.00005044135,0.96133506,0.00019890179,0.0008873652,0.00085771224,0.000009544481,0.00025619002,0.005127407],"genre_scores_gemma":[0.99394256,0.000002682398,0.0052503683,0.00046663184,0.00009030651,0.000119845005,0.000004073091,0.000022471551,0.000101051475],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865204,0.0000069876246,0.0002779761,0.0003625186,0.0002529112,0.0004475415],"domain_scores_gemma":[0.9993903,0.00026147265,0.000042537682,0.00019287398,0.000031530508,0.0000813014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027378777,0.000188759,0.0002499213,0.00010827763,0.00011311984,0.00007568301,0.00037320144,0.00007207751,0.00026960048],"category_scores_gemma":[0.000015336584,0.00016583568,0.00007720753,0.0002906096,0.00022803544,0.000146017,0.000021043264,0.000097387565,0.0007935065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012128655,0.00004254114,0.0002919009,0.00009169895,0.000044764194,0.0000010084237,0.00040221718,0.037632138,0.103728205,0.06355397,0.0008139067,0.79327637],"study_design_scores_gemma":[0.00026326883,0.00007119227,0.000036060825,0.000010914311,0.000010042211,5.3501145e-7,0.00034495484,0.9459725,0.03900811,0.010443419,0.0035368847,0.00030212165],"about_ca_topic_score_codex":0.000002961278,"about_ca_topic_score_gemma":0.000008174977,"teacher_disagreement_score":0.9626652,"about_ca_system_score_codex":0.000045410445,"about_ca_system_score_gemma":0.000044272867,"threshold_uncertainty_score":0.9999845},"labels":[],"label_agreement":null},{"id":"W2991310872","doi":"10.3390/app9235027","title":"A Novel Localization Technique Using Luminous Flux","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Professional Engineers Ontario","funders":"Yanshan University; National Natural Science Foundation of China","keywords":"Dilution of precision; Computer science; Optical wireless; Satellite system; Non-line-of-sight propagation; Mean squared error; RSS; Wireless; GNSS applications; Global Positioning System; Real-time computing; Telecommunications; Mathematics; Statistics","score_opus":0.016195917252544684,"score_gpt":0.22637583597366523,"score_spread":0.21017991872112055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991310872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101738416,0.000042059808,0.85545295,0.000008569693,0.00020075036,0.0003345923,0.0000014960964,0.0008727263,0.04134842],"genre_scores_gemma":[0.9871611,0.0000029318023,0.012694999,0.00004283425,0.000017924718,0.000021352502,0.0000025552108,0.000011433527,0.00004488452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999329,0.0000023860825,0.00012797414,0.00016749719,0.00016991633,0.00020323234],"domain_scores_gemma":[0.9997883,0.0000155979,0.00002233048,0.0001364439,0.000018102726,0.000019262434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015403466,0.000094601084,0.00009725461,0.0001413074,0.00011321999,0.00004844377,0.0002318584,0.0000886918,0.000068675436],"category_scores_gemma":[0.000007759396,0.00008544149,0.000017905144,0.0006295229,0.00013502268,0.000105821164,0.00003420917,0.00006595637,0.000080655846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013042521,0.000012309406,0.0012040174,0.00004026336,0.000005269432,5.4209323e-7,0.00016354394,0.36239055,0.5989716,0.035197344,0.0001776422,0.0018356253],"study_design_scores_gemma":[0.00014296216,0.000021036907,0.00008930084,0.000018224768,0.0000047715744,0.000014068422,0.00039006677,0.40104464,0.5951488,0.001395965,0.0014916833,0.00023847407],"about_ca_topic_score_codex":0.000008808962,"about_ca_topic_score_gemma":0.0000019794447,"teacher_disagreement_score":0.88542265,"about_ca_system_score_codex":0.000038572987,"about_ca_system_score_gemma":0.000022456185,"threshold_uncertainty_score":0.34842026},"labels":[],"label_agreement":null},{"id":"W2991604860","doi":"10.3390/app9235084","title":"PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Java; JADE (particle detector); Software engineering; Multi-agent system; Intelligent agent; Ontology; Artificial intelligence; Human–computer interaction; Programming language","score_opus":0.015082751463771084,"score_gpt":0.24684209557847328,"score_spread":0.2317593441147022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991604860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9296659,0.0013783568,0.054381717,0.000015650627,0.002766439,0.0010978609,0.000025256348,0.0013273376,0.009341467],"genre_scores_gemma":[0.9935954,0.000008676388,0.0060124868,0.000019373647,0.00006830577,0.00013674564,0.000002598424,0.000029687495,0.00012672872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990299,0.0000067937376,0.00017869745,0.0002482871,0.00021871534,0.00031762134],"domain_scores_gemma":[0.9996502,0.00008448065,0.000028135579,0.00014254123,0.000022237693,0.00007240526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030068326,0.0001562581,0.00016026215,0.000084671716,0.00009726663,0.00006511986,0.0002827106,0.000054598502,0.00002185098],"category_scores_gemma":[0.000011356249,0.0001454147,0.00003592247,0.00025308182,0.00006058414,0.00010182237,0.000035782876,0.00009738544,0.00028285864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004116284,0.000019980453,0.0002586428,0.0001592263,0.000025884252,8.513989e-7,0.00081797625,0.5594371,0.42226732,0.016080616,0.00020487254,0.0007234443],"study_design_scores_gemma":[0.00043289163,0.0001360318,0.00010004905,0.000103296734,0.000011028259,0.0000027688698,0.010289335,0.35642678,0.6091419,0.000004540532,0.022880714,0.00047071744],"about_ca_topic_score_codex":0.0000011267517,"about_ca_topic_score_gemma":7.6458736e-7,"teacher_disagreement_score":0.2030103,"about_ca_system_score_codex":0.00012906271,"about_ca_system_score_gemma":0.000024429273,"threshold_uncertainty_score":0.5929839},"labels":[],"label_agreement":null},{"id":"W2991643289","doi":"10.3390/app9235080","title":"Combined Fusion Rules in Cognitive Radio Networks Using Different Threshold Strategies","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Cognitive radio; Computer science; Overhead (engineering); Rayleigh fading; Fusion; Channel (broadcasting); Algorithm; Data mining; Wireless; Computer network; Fading; Telecommunications","score_opus":0.024776723370359827,"score_gpt":0.2579210828617432,"score_spread":0.23314435949138337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991643289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8742785,0.00018381521,0.10747693,0.00008196628,0.00037664134,0.00037024525,6.164803e-7,0.000083583,0.017147716],"genre_scores_gemma":[0.9977902,0.000039204744,0.0018855251,0.00016489184,0.000084119834,0.00000583996,0.0000025333727,0.0000081202925,0.000019547015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794143,0.000053099007,0.0002777926,0.0007074754,0.00042659807,0.0005935757],"domain_scores_gemma":[0.999237,0.00029864896,0.000118354736,0.00022635383,0.00003640426,0.00008323382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051411137,0.00023210928,0.0003169247,0.00021117422,0.00030802036,0.0006221265,0.0006310515,0.000078965306,0.000031594853],"category_scores_gemma":[0.0000060624393,0.00018658153,0.00005731492,0.0008635083,0.00026319508,0.0005501088,0.00027641983,0.00024194222,0.000017172431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011153567,0.00030682617,0.041645262,0.00002378505,0.00003880403,0.000056635643,0.0022152483,0.072381295,0.012730492,0.82734996,0.00006504291,0.04307509],"study_design_scores_gemma":[0.0008272873,0.00013813536,0.030374646,0.00013655628,0.0000066280218,0.0000093052695,0.0009952097,0.94870347,0.00075349445,0.017677847,0.000008496594,0.00036890176],"about_ca_topic_score_codex":0.000042066265,"about_ca_topic_score_gemma":0.00007249626,"teacher_disagreement_score":0.8763222,"about_ca_system_score_codex":0.000058677953,"about_ca_system_score_gemma":0.00009857923,"threshold_uncertainty_score":0.7608574},"labels":[],"label_agreement":null},{"id":"W2991952409","doi":"10.3390/app9245296","title":"Image Segmentation for the Treatment Planning of Magnetic Resonance-Guided High-Intensity Focused Ultrasound (MRgHIFU) Therapy: A Parametric Study","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Segmentation; Magnetic resonance imaging; Interquartile range; Sagittal plane; Medicine; Intensity (physics); Image segmentation; Region of interest; Nuclear medicine; Biomedical engineering; Artificial intelligence; Radiology; Computer science; Physics; Surgery; Optics","score_opus":0.032220669882726524,"score_gpt":0.2709773972918279,"score_spread":0.23875672740910137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991952409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950675,0.0008673602,0.001201273,0.0000303812,0.00011560411,0.0018142835,0.000014067257,0.00007703538,0.0008125373],"genre_scores_gemma":[0.995341,0.00013490506,0.0039299726,0.000029910303,0.00003601058,0.0004630581,0.000004728327,0.000013080777,0.000047313326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991558,0.0000100870075,0.00020106643,0.00023181524,0.00020076273,0.00020044006],"domain_scores_gemma":[0.9989678,0.0006808634,0.000049729522,0.00023957118,0.00003598222,0.000026026926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023846484,0.00013376733,0.00018990382,0.00008404247,0.00020302784,0.00006599243,0.00024174621,0.000028172697,0.000039345075],"category_scores_gemma":[0.000009469642,0.00008453154,0.000046336594,0.00055277854,0.00012230393,0.000064025415,0.000006716463,0.000043394233,0.000016915916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001545615,0.0010211488,0.053702626,0.000043562944,0.00020656455,7.75773e-7,0.013461221,0.026596906,0.7920091,0.0021798178,0.00086279697,0.10976091],"study_design_scores_gemma":[0.014088064,0.007065866,0.5789652,0.000053977892,0.00042567667,0.000017295768,0.038246516,0.0509042,0.28619325,0.005830001,0.016550628,0.0016593243],"about_ca_topic_score_codex":0.000078877776,"about_ca_topic_score_gemma":0.000012056402,"teacher_disagreement_score":0.5252626,"about_ca_system_score_codex":0.000038838938,"about_ca_system_score_gemma":0.000020725138,"threshold_uncertainty_score":0.3447096},"labels":[],"label_agreement":null},{"id":"W2992370223","doi":"10.3390/app9245318","title":"Magnetic Fields Trump Oxygen in Controlling the Death of Erythro-Leukemia Cells","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Apoptosis; Programmed cell death; Incubator; Human life; Cell; Cancer cell; Human health; Cancer; Cell biology; Chemistry; Biology; Immunology; Medicine; Environmental health; Microbiology; Internal medicine; Biochemistry; Political science","score_opus":0.006568357655554662,"score_gpt":0.2153634392192616,"score_spread":0.20879508156370694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992370223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98070693,0.00055730896,0.00007196564,0.00017505884,0.00006624135,0.00026252758,0.0000010609432,0.00000349362,0.018155431],"genre_scores_gemma":[0.9988297,0.000086888256,0.0002570379,0.0005878769,0.000040389834,0.000015063801,0.000002004126,0.0000028002876,0.00017824586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992143,0.000034389723,0.00015217207,0.00025644837,0.00011425165,0.00022847515],"domain_scores_gemma":[0.99966663,0.000079574114,0.000051609528,0.00016645809,0.000012629998,0.000023100538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039113226,0.00008826143,0.00013352011,0.000020844778,0.00005211677,0.000015291955,0.00032120754,0.00012203216,0.000052439038],"category_scores_gemma":[0.000018738747,0.00005026915,0.000044222055,0.000114953116,0.0001756906,0.0000014983111,0.000065843815,0.00009010735,0.000010412346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003128196,0.000013050993,0.0017838085,0.000006638393,0.0000029800165,3.326248e-7,0.000021057203,0.00029476333,0.9932445,0.002996427,0.00006009802,0.0015450356],"study_design_scores_gemma":[0.0012531822,0.005443623,0.014256005,0.000021831464,0.000013363085,0.0000047110493,0.0002558303,0.0020199576,0.9708836,0.004455905,0.0010911105,0.0003008627],"about_ca_topic_score_codex":0.000045430286,"about_ca_topic_score_gemma":0.000024186435,"teacher_disagreement_score":0.022360908,"about_ca_system_score_codex":0.000004915757,"about_ca_system_score_gemma":0.000055828157,"threshold_uncertainty_score":0.20499165},"labels":[],"label_agreement":null},{"id":"W2993308481","doi":"10.3390/app9235236","title":"Directed Silica Co-Deposition by Highly Oxidized Silver: Enhanced Stability and Versatility of Silver Oxynitrate","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exciton Technologies (Canada)","funders":"University of Toronto","keywords":"Oxidizing agent; Silicic acid; Aqueous solution; Chemistry; Chemical engineering; Mesoporous material; Oxidation state; Materials science; Nanotechnology; Inorganic chemistry; Organic chemistry; Catalysis","score_opus":0.010645541881910168,"score_gpt":0.2488832144748591,"score_spread":0.23823767259294892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993308481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994822,0.00008416278,0.00027252204,0.00004006666,0.0002111485,0.00058847293,0.00014503188,0.0001801766,0.0036563913],"genre_scores_gemma":[0.9951583,0.000019496307,0.004641123,0.00005250605,0.000017340855,0.000046382258,0.00002630683,0.00001136226,0.000027144346],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99735665,0.00014168772,0.0005550375,0.00090292137,0.0006213618,0.0004223354],"domain_scores_gemma":[0.9984664,0.00045361108,0.0003748878,0.00050105184,0.000096804804,0.0001072554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013539293,0.00024000043,0.00052006263,0.0000796224,0.00024671314,0.0001007833,0.00046923134,0.000109522996,0.0008378019],"category_scores_gemma":[0.000099884805,0.0002044213,0.00005488587,0.000537031,0.0012400752,0.0004892812,0.00013619204,0.00007243598,0.00011146375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001768454,0.000074076306,0.0004982318,0.000051862313,0.000006523817,1.7467319e-7,0.00030025502,0.000019010415,0.99835634,0.00029918246,0.000034547927,0.00018294145],"study_design_scores_gemma":[0.0005988844,0.000106941225,0.0011511103,0.000012542369,0.000021708567,7.435465e-7,0.00026399398,0.00011464105,0.9962467,0.0012038396,0.00004415384,0.00023474515],"about_ca_topic_score_codex":0.000109511435,"about_ca_topic_score_gemma":0.000015032501,"teacher_disagreement_score":0.004368601,"about_ca_system_score_codex":0.00006886582,"about_ca_system_score_gemma":0.0000875693,"threshold_uncertainty_score":0.9173343},"labels":[],"label_agreement":null},{"id":"W2993810578","doi":"10.3390/app9245327","title":"Mechanical Response and Fracture Behavior of Brittle Rocks Containing Two Inverted U-Shaped Holes under Uniaxial Loading","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Coalescence (physics); Materials science; Brittleness; Spall; Ultimate tensile strength; Shear (geology); Composite material; Acoustic emission; Geotechnical engineering; Geology","score_opus":0.0202045749711977,"score_gpt":0.2529449994174077,"score_spread":0.23274042444621001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993810578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96206206,0.000091800954,0.03706032,0.000031625306,0.00013173863,0.00016811973,0.0000024087115,0.000072605304,0.00037929649],"genre_scores_gemma":[0.9988429,0.000010266264,0.00097419176,0.00011084832,0.000022897995,0.000010263061,0.0000014067866,0.000014364343,0.000012872088],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991059,0.000016906235,0.00018979437,0.00023499868,0.00022204149,0.00023036139],"domain_scores_gemma":[0.9996266,0.00012387194,0.00004171708,0.00011842212,0.000021220952,0.00006820231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048575405,0.00012020685,0.00019177682,0.00009895106,0.0001129575,0.000046869234,0.00017948457,0.00007998279,0.000031163745],"category_scores_gemma":[0.0000134687,0.0001100058,0.000026585913,0.00018130998,0.000049862887,0.000097251825,0.00006759516,0.00014159625,0.0000065919485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056106885,0.000009672356,0.00013204341,0.000011330275,0.000009273735,0.0000010967361,0.00033048555,0.030032456,0.96241224,0.0059080254,0.000009646607,0.0010876092],"study_design_scores_gemma":[0.0012691857,0.00018015831,0.0005367931,0.00007491748,0.00004050104,0.000011810364,0.0024426938,0.76224554,0.22815003,0.0044218977,0.00019780743,0.00042867975],"about_ca_topic_score_codex":0.000028385619,"about_ca_topic_score_gemma":0.000016405493,"teacher_disagreement_score":0.7342622,"about_ca_system_score_codex":0.00001951136,"about_ca_system_score_gemma":0.000037215985,"threshold_uncertainty_score":0.44859064},"labels":[],"label_agreement":null},{"id":"W2994218988","doi":"10.3390/app9245310","title":"Human Balance in Response to Continuous, Predictable Translations of the Support Base: Integration of Sensory Information, Adaptation to Perturbations, and the Effect of Age, Neuropathy and Parkinson’s Disease","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish Rehabilitation Hospital","funders":"","keywords":"Physical medicine and rehabilitation; Balance (ability); Sensory system; Parkinson's disease; Dynamic balance; Psychology; Cognitive psychology; Disease; Neuroscience; Medicine; Engineering; Pathology","score_opus":0.014028350488977478,"score_gpt":0.29694089290730885,"score_spread":0.28291254241833136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994218988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957557,0.00002668392,0.00044272872,0.00077170425,0.00007483862,0.0019021414,0.000047163587,0.0000075594576,0.0009714952],"genre_scores_gemma":[0.9992994,0.000010203507,0.00019388455,0.00017987203,0.000007701465,0.0001319004,0.000009302714,0.0000027768026,0.0001649612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855644,0.0005345931,0.00043355228,0.0001276413,0.00023265374,0.000115139424],"domain_scores_gemma":[0.99885523,0.00063369,0.00023923181,0.0001636208,0.000065520464,0.00004269025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024793078,0.00007018531,0.00017974681,0.00012126449,0.00023182624,0.00000953815,0.00012744078,0.00003480881,0.000005031639],"category_scores_gemma":[0.0002915663,0.000041276104,0.00002252388,0.00039875752,0.00020665643,0.00019332659,0.0000349241,0.00009846138,0.0000024437677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035818215,0.000111210735,0.5872435,0.0006957806,0.000013434378,1.96665e-7,0.08027693,0.0008676888,0.3033578,0.017244313,0.0005625636,0.0060447464],"study_design_scores_gemma":[0.0012282982,0.00017135427,0.9921993,0.00013905382,0.00001525202,1.4716512e-7,0.002827916,0.0024484927,0.00016962252,0.0003299363,0.00042465463,0.000045992776],"about_ca_topic_score_codex":0.00011001526,"about_ca_topic_score_gemma":0.0001700593,"teacher_disagreement_score":0.40495577,"about_ca_system_score_codex":0.000011544875,"about_ca_system_score_gemma":0.00009060294,"threshold_uncertainty_score":0.17830434},"labels":[],"label_agreement":null},{"id":"W2994509635","doi":"10.3390/app9235222","title":"Entanglement and Entropy of a Three-Qubit System Interacting with a Quantum Spin Environment","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Quantum entanglement; Qubit; Physics; Quantum mechanics; Residual entropy; Entropy (arrow of time); Quantum discord; Coupling constant; Concurrence; Quantum; Configuration entropy","score_opus":0.008902709863459897,"score_gpt":0.2033356986538707,"score_spread":0.1944329887904108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994509635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8792091,0.000042412867,0.111101076,0.00013708281,0.00011543449,0.00033689642,8.1200875e-7,0.00004943237,0.0090077445],"genre_scores_gemma":[0.9874716,0.0000041676903,0.012422721,0.000070817136,0.0000062156455,0.000018364948,3.801235e-7,0.0000019906086,0.0000037599166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988964,0.000011353858,0.00022811288,0.000247715,0.00042601308,0.00019039263],"domain_scores_gemma":[0.9994614,0.000053112173,0.00020450124,0.0002157648,0.000011318298,0.000053917298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039186788,0.00009611566,0.0001335521,0.00012323172,0.00010958714,0.00011965215,0.00042974175,0.000016586739,0.000023949482],"category_scores_gemma":[0.0000016136713,0.00006629165,0.000023273937,0.00028799,0.00014208048,0.00035777187,0.0001435214,0.00005096007,0.0000532607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008309859,0.000019736794,0.006216192,0.0000405785,0.000009114959,5.0443555e-7,0.000942234,0.00012932833,0.0035683336,0.9860874,0.000012261386,0.0029659995],"study_design_scores_gemma":[0.0036634225,0.0027399077,0.025574833,0.0006475956,0.000041893632,0.00010087844,0.029132552,0.8688155,0.052759413,0.008722727,0.006505151,0.0012961726],"about_ca_topic_score_codex":0.000015933902,"about_ca_topic_score_gemma":0.000002759613,"teacher_disagreement_score":0.97736466,"about_ca_system_score_codex":0.000019215875,"about_ca_system_score_gemma":0.000027031698,"threshold_uncertainty_score":0.2703295},"labels":[],"label_agreement":null},{"id":"W2995686425","doi":"10.3390/app9245371","title":"Finite Element Steady-State Vibration Analysis Considering Frequency-Dependent Soil-Pile Interaction","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hanyang University","keywords":"Pile; Stiffness; Foundation (evidence); Vibration; Structural engineering; Gas compressor; Finite element method; Engineering; Pile cap; Geotechnical engineering; Mechanical engineering; Acoustics; Physics","score_opus":0.01746515396842562,"score_gpt":0.2359106769014265,"score_spread":0.21844552293300087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995686425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8605277,0.00004467331,0.06413126,0.000041780942,0.0005969115,0.00031019392,0.0000052139494,0.00018841257,0.07415388],"genre_scores_gemma":[0.99927473,0.000013494531,0.0004583957,0.000040680738,0.000032530283,0.000038261816,0.000008413454,0.000007903758,0.00012561286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891204,0.000022758444,0.00030694332,0.00022610801,0.0003128922,0.00021927244],"domain_scores_gemma":[0.99955064,0.00014125466,0.00007195515,0.00017333054,0.000013476074,0.00004935904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004918031,0.00012169102,0.0002021405,0.00019824128,0.00010574007,0.00012546915,0.00015065895,0.000032415293,0.00041075272],"category_scores_gemma":[0.0000073390597,0.00010438356,0.000049138212,0.0005150363,0.000037526162,0.00021658497,0.000021712058,0.000078867524,0.0004575193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000155094,0.000004698893,0.002699254,0.00003274878,0.0000954925,6.471449e-7,0.001108663,0.9756839,0.018627064,0.00048164435,0.000070744834,0.0011935844],"study_design_scores_gemma":[0.00021685258,0.00004557155,0.00068866473,0.00002606276,0.000068826135,0.0000023211126,0.0021772743,0.97418725,0.021299766,0.0005547153,0.0004670268,0.00026564868],"about_ca_topic_score_codex":0.00008080261,"about_ca_topic_score_gemma":0.00016864855,"teacher_disagreement_score":0.13874704,"about_ca_system_score_codex":0.000055835088,"about_ca_system_score_gemma":0.000019133586,"threshold_uncertainty_score":0.5880637},"labels":[],"label_agreement":null},{"id":"W2995909253","doi":"10.3390/app9245527","title":"Phase Space Analysis of Pig Ear Skin Temperature during Air and Road Transport","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Air temperature; Air space; Environmental science; Atmospheric sciences; Physics; Engineering; Aerospace engineering","score_opus":0.005274074709245947,"score_gpt":0.20664198464220201,"score_spread":0.20136790993295606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995909253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975511,0.00009501716,1.6784402e-7,0.00018509607,0.0000197302,0.00021028692,0.000025730757,0.00001826504,0.0018946179],"genre_scores_gemma":[0.99966913,0.000024807645,0.000079579666,0.000040123137,0.000021407483,0.0000070260376,0.000012415254,5.2737494e-7,0.00014500393],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989862,0.000018645891,0.00013640625,0.00037365124,0.00028483928,0.00020029872],"domain_scores_gemma":[0.999717,0.0000679858,0.00008085049,0.00005565921,0.0000056167546,0.00007291155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905501,0.000115268194,0.00023089828,0.00003354148,0.00016348436,0.00001916863,0.0002393145,0.000058967657,0.00023284588],"category_scores_gemma":[0.0000030388344,0.00004543948,0.00007394178,0.0008457965,0.0002788865,0.000116939395,0.000040108876,0.00006983941,0.00001143379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002050265,0.00009975383,0.05869841,0.0000072832854,0.00003419509,6.603598e-7,0.00009089752,0.00021422934,0.9390662,0.00017657148,0.000002826817,0.0015885032],"study_design_scores_gemma":[0.0002352048,0.00028285236,0.8753339,0.0000072437083,0.000057906924,6.199419e-7,0.00047389691,0.00004975938,0.12331023,0.000029634602,0.00009134887,0.00012741997],"about_ca_topic_score_codex":0.00015935903,"about_ca_topic_score_gemma":0.00012759748,"teacher_disagreement_score":0.8166355,"about_ca_system_score_codex":0.000007720383,"about_ca_system_score_gemma":0.0000025827678,"threshold_uncertainty_score":0.2549499},"labels":[],"label_agreement":null},{"id":"W2996813168","doi":"10.3390/app10010204","title":"A Nested Ensemble Filtering Approach for Parameter Estimation and Uncertainty Quantification of Traffic Noise Models","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Ensemble Kalman filter; Resampling; Noise (video); Kalman filter; Computer science; Particle filter; Algorithm; Traffic noise; Filter (signal processing); Extended Kalman filter; Artificial intelligence; Noise reduction","score_opus":0.09506171134483826,"score_gpt":0.37251886911449267,"score_spread":0.2774571577696544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996813168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803339,0.000015265761,0.2145658,0.00007214551,0.00008703341,0.0017771339,0.000002779677,0.000027634658,0.0031183222],"genre_scores_gemma":[0.9585724,0.0000037402074,0.0408123,0.000082754996,0.000013132326,0.00035273522,0.000013126452,0.000005188498,0.0001446175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914455,0.00004196796,0.00021776832,0.00026085068,0.00014029878,0.00019456448],"domain_scores_gemma":[0.9992706,0.00037805352,0.00014693923,0.00014165869,0.00003182673,0.000030910986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009427002,0.00007221135,0.00014752403,0.00007492177,0.00026715006,0.000015646607,0.00010566877,0.000045432178,0.000007284073],"category_scores_gemma":[0.000023737051,0.00005451001,0.000018347047,0.00016455057,0.000074166615,0.000121277684,0.00003875929,0.000053179538,0.000006442133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078990655,0.000063757034,0.00013269554,0.000987709,0.00001124833,3.03234e-8,0.0029326277,0.8258229,0.04209588,0.095273934,0.00026410085,0.032336153],"study_design_scores_gemma":[0.00036931405,0.000062691644,0.00037499162,0.000033919383,0.000011926688,7.664505e-8,0.0014951405,0.9944551,0.00045812555,0.0025915762,0.00007281737,0.00007433279],"about_ca_topic_score_codex":0.000029002395,"about_ca_topic_score_gemma":0.000006186825,"teacher_disagreement_score":0.17823853,"about_ca_system_score_codex":0.000015842079,"about_ca_system_score_gemma":0.00004001969,"threshold_uncertainty_score":0.22228536},"labels":[],"label_agreement":null},{"id":"W2997375519","doi":"10.3390/app10010333","title":"Sustainable FRP-Confined Symmetric Concrete Structures: An Application Experimental and Numerical Validation Process for Reference Data","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fibre-reinforced plastic; Structural engineering; Materials science; Finite element method; Ductility (Earth science); Parametric statistics; Composite material; Engineering; Mathematics","score_opus":0.05293076489857511,"score_gpt":0.31078484761153996,"score_spread":0.25785408271296484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997375519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564519,0.00013717146,0.040884294,0.000066815555,0.000040680257,0.0009106167,0.000033600096,0.00029882227,0.0011761324],"genre_scores_gemma":[0.99413484,0.0000026424796,0.0054017548,0.00008184732,0.00006497977,0.00012922242,0.00016546506,0.000014844586,0.0000043996197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987736,0.000007207173,0.00018817214,0.0004930181,0.00024783786,0.0002901674],"domain_scores_gemma":[0.99944794,0.000057675265,0.00005660677,0.00024890632,0.00004247673,0.0001463861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013485152,0.0001594874,0.00016407775,0.000068935595,0.00021174752,0.00016044811,0.00063137984,0.000066018576,0.00001846354],"category_scores_gemma":[0.000042859723,0.00014423704,0.000010684559,0.0005346002,0.00014011029,0.000568942,0.00008821599,0.000087868786,0.0000028690108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095592215,9.299577e-7,0.00023398177,0.00026117667,0.000024888153,0.0000018537759,0.002258799,0.0070113973,0.82167566,0.15198319,0.00015120383,0.016301336],"study_design_scores_gemma":[0.0006285666,0.00023747141,0.0002777606,0.0000033306858,0.000032680175,0.0000062095046,0.005957435,0.4017588,0.5884421,0.0011366575,0.0010586326,0.00046036392],"about_ca_topic_score_codex":0.000024412722,"about_ca_topic_score_gemma":8.5648054e-8,"teacher_disagreement_score":0.3947474,"about_ca_system_score_codex":0.000025365362,"about_ca_system_score_gemma":0.000042754073,"threshold_uncertainty_score":0.5881816},"labels":[],"label_agreement":null},{"id":"W2997890720","doi":"10.3390/app10010297","title":"An Improved Mixed AC/DC Power Flow Algorithm in Hybrid AC/DC Grids with MT-HVDC Systems","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"High-voltage direct current; HVDC converter; Grid; HVDC converter station; Robustness (evolution); Electric power system; Transmission system; Power flow; Computer science; MATLAB; Maximum power transfer theorem; Voltage; Engineering; Control theory (sociology); Direct current; Electronic engineering; Power (physics); Electrical engineering; Transmission (telecommunications); Transformer; Mathematics; Control (management); Physics","score_opus":0.00502938438994117,"score_gpt":0.19561668531592066,"score_spread":0.1905873009259795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997890720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95382667,0.00017686147,0.03445611,0.000016832986,0.0017816134,0.0012095235,0.000016551921,0.00038158632,0.00813426],"genre_scores_gemma":[0.9965137,0.000004946625,0.0029895094,0.000016259037,0.00014877436,0.00017892764,0.0000061019546,0.000029936571,0.000111837435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982941,0.00003256026,0.00032278278,0.0004990328,0.0003519508,0.00049957377],"domain_scores_gemma":[0.9993987,0.000031935757,0.00006663137,0.00035116638,0.000034228953,0.00011733289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008290896,0.00024301177,0.00031632182,0.00019068229,0.00013458116,0.00023983343,0.00038723898,0.00009936678,0.000029009427],"category_scores_gemma":[0.0000043130026,0.00018640018,0.00003184705,0.00061657815,0.00009948891,0.0004095161,0.00002786476,0.00021767705,0.00013522775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074558135,0.00018987706,0.0027129315,0.00042886782,0.00010441614,0.00003126849,0.0029513428,0.24282603,0.68131083,0.0018181072,0.00064680673,0.066904984],"study_design_scores_gemma":[0.000943506,0.00042077663,0.0019035684,0.00010252772,0.000008445488,0.00004634207,0.002627369,0.9739203,0.01617751,0.000074913216,0.0031370646,0.00063768757],"about_ca_topic_score_codex":0.00035227838,"about_ca_topic_score_gemma":0.00009211074,"teacher_disagreement_score":0.73109424,"about_ca_system_score_codex":0.00008748539,"about_ca_system_score_gemma":0.00004895836,"threshold_uncertainty_score":0.7601178},"labels":[],"label_agreement":null},{"id":"W2998300756","doi":"10.3390/app10010382","title":"Influence of Pairing Startling Acoustic Stimuli with Postural Responses Induced by Light Touch Displacement","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Balance (ability); Psychology; Audiology; Displacement (psychology); Startle response; Startle reaction; Neuroscience; Medicine; Cognitive psychology; Reflex","score_opus":0.07800260811532801,"score_gpt":0.3253127780473425,"score_spread":0.2473101699320145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998300756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953569,0.000009263554,0.0026491843,0.0011223339,0.000028335833,0.00019902301,0.0000064277747,0.000088310546,0.0005401966],"genre_scores_gemma":[0.9969411,0.0000035973353,0.00064669433,0.0023374376,0.00002052946,0.000013685729,5.6953417e-7,0.0000088644865,0.000027502423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983195,0.00004639492,0.00022384888,0.00049581204,0.00062686275,0.00028760187],"domain_scores_gemma":[0.99941015,0.00018013897,0.00013554613,0.00010660348,0.00003279548,0.00013475798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024860603,0.00014854575,0.00016240079,0.000059027505,0.00038957415,0.00011260288,0.0004120887,0.00003665885,0.000028061642],"category_scores_gemma":[0.00022021441,0.00010667092,0.000017955597,0.00073663524,0.00026044282,0.0002502009,0.00008749893,0.00013319324,0.00002833637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016445613,0.000025170026,0.00009525393,0.000025581247,0.0000011717733,0.0000014828908,0.0017962015,0.0044124005,0.9926005,0.0005356019,0.00003259644,0.0003095927],"study_design_scores_gemma":[0.00031622205,0.00073394587,0.0004450579,0.000042073883,0.000008851135,0.0000024751535,0.0012558769,0.0038492202,0.99286735,0.00018304729,0.00009051589,0.0002053897],"about_ca_topic_score_codex":0.000007542842,"about_ca_topic_score_gemma":0.0000029704545,"teacher_disagreement_score":0.00200249,"about_ca_system_score_codex":0.000016080256,"about_ca_system_score_gemma":0.000108393295,"threshold_uncertainty_score":0.4349914},"labels":[],"label_agreement":null},{"id":"W2998325279","doi":"10.3390/app10010365","title":"Detection of Internal Holes in Additive Manufactured Ti-6Al-4V Part Using Laser Ultrasonic Testing","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Special Project for Research and Development in Key areas of Guangdong Province; Nanjing University; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hubei Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Materials science; Laser; Ultrasonic sensor; Laser Doppler vibrometer; Ultrasonic testing; Rayleigh wave; Nondestructive testing; Acoustics; Optics; Laser power scaling; Surface wave","score_opus":0.03341047925391179,"score_gpt":0.22883890331657875,"score_spread":0.19542842406266697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998325279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929729,0.000031239237,0.0036515456,0.000009543562,0.00013650209,0.00009260097,0.000030170178,0.00008640976,0.0029890605],"genre_scores_gemma":[0.9987391,0.0000073370434,0.0010537448,0.000049907758,0.00012579163,0.000009206817,0.0000021463215,0.000010373542,0.0000023727061],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992546,0.000011894625,0.00019786124,0.00019628162,0.0001458611,0.00019349622],"domain_scores_gemma":[0.9997045,0.00012808442,0.00006507499,0.00004419441,0.000015690926,0.000042489155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013647167,0.00011955818,0.00015957601,0.00005132809,0.00007899422,0.00005695912,0.00015431446,0.000039460618,0.00008344872],"category_scores_gemma":[0.00006281251,0.00010510397,0.000018162656,0.00025318237,0.000161295,0.0001220092,0.000029774194,0.00009477541,0.000008154319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029781211,0.000015271964,0.0003624484,0.00017891616,0.000019124878,0.0000054537877,0.0010286488,0.09966327,0.8780466,0.000053129865,0.00007723562,0.020520153],"study_design_scores_gemma":[0.00011495652,0.000035354027,0.001718639,0.000052748186,0.000005405885,0.0000020881726,0.00035009926,0.006451421,0.9904918,0.00033154507,0.00031674176,0.00012921676],"about_ca_topic_score_codex":0.000037876813,"about_ca_topic_score_gemma":0.000022410763,"teacher_disagreement_score":0.11244522,"about_ca_system_score_codex":0.000020128431,"about_ca_system_score_gemma":0.000018178824,"threshold_uncertainty_score":0.42860156},"labels":[],"label_agreement":null},{"id":"W2998380900","doi":"10.3390/app10010292","title":"Printability of 3D Printed Hydrogel Scaffolds: Influence of Hydrogel Composition and Printing Parameters","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Materials science; Gelatin; 3D printing; 3D bioprinting; Extrusion; Scaffold; Nanotechnology; Composite material; Biomedical engineering; Tissue engineering; Polymer chemistry; Chemistry","score_opus":0.013557701548020204,"score_gpt":0.25826703963484227,"score_spread":0.24470933808682205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998380900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594665,0.000027037973,0.00034826438,0.000013749832,0.000035292924,0.0003413681,0.0000017314893,0.0000705714,0.0032153097],"genre_scores_gemma":[0.9909508,0.000010971012,0.00900267,0.000008276075,0.0000042209635,0.000011860501,7.275354e-7,0.000007557354,0.0000029092416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985331,0.000015984251,0.0003615345,0.00029090376,0.0005179223,0.00028052786],"domain_scores_gemma":[0.9992093,0.00033120986,0.000087326676,0.00024498542,0.000047262954,0.00007992069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011795392,0.00011059035,0.00022525515,0.00013762467,0.0000482345,0.000019671068,0.00036974423,0.000066330205,0.000019999545],"category_scores_gemma":[0.00007658009,0.00009829621,0.000026901816,0.0005184256,0.0009089034,0.00010416315,0.00019826548,0.00011123084,0.000016372409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008780143,0.00003758114,0.06709946,0.00046047286,0.000015209543,2.7372118e-7,0.0002901413,0.025009593,0.8975431,0.0028509165,9.3635754e-7,0.00668355],"study_design_scores_gemma":[0.000305989,0.000073109935,0.08719449,0.00017125378,0.000007928375,0.000003857683,0.00015959814,0.057121485,0.85317236,0.0015702765,0.000019433683,0.00020024333],"about_ca_topic_score_codex":0.00003376154,"about_ca_topic_score_gemma":0.0000017392582,"teacher_disagreement_score":0.04437075,"about_ca_system_score_codex":0.000027268663,"about_ca_system_score_gemma":0.000035953453,"threshold_uncertainty_score":0.4008403},"labels":[],"label_agreement":null},{"id":"W2998534206","doi":"10.3390/app10010406","title":"A Time Correlation Based Clustering Method for a Design of a Transformable Product","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Department of Education of Hebei Province; National Natural Science Foundation of China","keywords":"Product (mathematics); Computer science; Function (biology); Process (computing); Product design; Cluster analysis; Similarity (geometry); Data mining; Mathematics; Artificial intelligence","score_opus":0.040047222975374254,"score_gpt":0.2399257451470242,"score_spread":0.19987852217164995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998534206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018172191,0.000011527058,0.990863,0.0016993305,0.00005632789,0.00073310477,5.3252614e-7,0.00006792366,0.0047510266],"genre_scores_gemma":[0.8082596,4.9756414e-7,0.18997726,0.0013639107,0.00023798698,0.00008156219,0.000015099519,0.000009810093,0.000054281183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992879,0.000004871516,0.00017004744,0.0002305242,0.00016890289,0.00013774878],"domain_scores_gemma":[0.99972874,0.000041241274,0.00012008019,0.00004845382,0.000054899097,0.0000065747163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086575205,0.00007536887,0.00011598994,0.000088892986,0.00016635338,0.00007162592,0.000158908,0.000017515447,0.000046479632],"category_scores_gemma":[0.00006995979,0.000064705026,0.00002187608,0.0006458732,0.000048832797,0.00046197115,0.000019042947,0.000024587207,0.00003157578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065790716,0.000078571626,0.00043677466,0.0007057719,0.000026681182,3.1145407e-7,0.0012409658,0.7287917,0.19127691,0.012321629,0.004725569,0.0597372],"study_design_scores_gemma":[0.00037813224,0.00001269952,0.000052833777,0.000009407423,0.00001960174,7.254737e-8,0.00007493887,0.9887189,0.0071438216,0.00071807066,0.0027695936,0.00010189491],"about_ca_topic_score_codex":0.00000636267,"about_ca_topic_score_gemma":9.65892e-7,"teacher_disagreement_score":0.8064424,"about_ca_system_score_codex":0.0000056838285,"about_ca_system_score_gemma":0.000051422456,"threshold_uncertainty_score":0.26385942},"labels":[],"label_agreement":null},{"id":"W2998539520","doi":"10.3390/app10010394","title":"Optical Trapping, Sizing, and Probing Acoustic Modes of a Small Virus","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical tweezers; Trapping; Materials science; Particle (ecology); Raman spectroscopy; Plasmon; Molecular physics; Optics; Optoelectronics; Physics","score_opus":0.03540073932085874,"score_gpt":0.2066759473222183,"score_spread":0.17127520800135956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998539520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964755,0.0008506549,0.028391764,0.00021079864,0.000021862385,0.00010605113,0.0000016081589,0.0004018518,0.005260429],"genre_scores_gemma":[0.9893055,0.0001218545,0.010496816,0.00005059403,0.000014879923,0.0000028447578,2.12903e-7,0.0000052044415,0.0000020750085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946547,0.000002279375,0.000118742944,0.00016282643,0.000086587665,0.00016411634],"domain_scores_gemma":[0.99984485,0.000035073903,0.000017477649,0.000058231362,0.0000066233742,0.00003772641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010142915,0.00008267582,0.00012496629,0.000039518138,0.00006461789,0.000029300481,0.00015736047,0.00005335573,0.000003201355],"category_scores_gemma":[0.000024172488,0.000066596614,0.00001434762,0.00022134892,0.00042234326,0.000029974984,0.000056058787,0.000078268364,0.0000027625822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018079528,0.00000364406,0.000021250069,0.00004705918,0.000004270286,8.752212e-7,0.00033174077,0.0016137302,0.9877087,0.0033185629,0.00013830386,0.006810055],"study_design_scores_gemma":[0.00009962501,0.000058237107,0.00006613762,0.00002408838,0.000012081754,0.000003625355,0.0011068135,0.07383229,0.92362887,0.0007317307,0.00029258875,0.00014392943],"about_ca_topic_score_codex":0.00000347015,"about_ca_topic_score_gemma":0.0000026465648,"teacher_disagreement_score":0.07221856,"about_ca_system_score_codex":0.000004883875,"about_ca_system_score_gemma":0.000013389246,"threshold_uncertainty_score":0.2715731},"labels":[],"label_agreement":null},{"id":"W2998588915","doi":"10.3390/app10010302","title":"Flow Synthesizer: Universal Audio Synthesizer Control with Normalizing Flows","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Nvidia","keywords":"Computer science; Inference; Speech recognition; Invertible matrix; Macro; Space (punctuation); Artificial intelligence; Mathematics","score_opus":0.0072513065128034255,"score_gpt":0.18764782782366682,"score_spread":0.1803965213108634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998588915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29588154,0.00019025324,0.55515146,0.0030184425,0.0005100823,0.0005974823,0.0000027677067,0.0005030111,0.14414498],"genre_scores_gemma":[0.9481084,0.0000034243687,0.050331526,0.001279032,0.00006787244,0.000013143325,2.4358536e-7,0.000009232469,0.00018715863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784297,0.00003906799,0.00019759579,0.0007135981,0.00064508384,0.00056165823],"domain_scores_gemma":[0.99895775,0.00029479698,0.00014580118,0.00043304707,0.000048091315,0.000120487115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007559985,0.00021581934,0.00028165142,0.00013394508,0.0004530954,0.00046032364,0.001491019,0.000059321217,0.00011404348],"category_scores_gemma":[0.000016720809,0.00015314345,0.000049024828,0.0007695661,0.00027008718,0.00090785685,0.00015250358,0.00013923795,0.00032909124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023267884,0.00029729473,0.0059277564,0.00024251477,0.0002150538,0.00012274721,0.010023814,0.08002564,0.12343143,0.4268604,0.003206444,0.34941426],"study_design_scores_gemma":[0.002688561,0.00037853452,0.0021423425,0.0003194407,0.000061832485,0.00009460266,0.0017070699,0.93299085,0.036048286,0.0037377155,0.018126374,0.0017043955],"about_ca_topic_score_codex":0.000017344553,"about_ca_topic_score_gemma":0.000008923302,"teacher_disagreement_score":0.8529652,"about_ca_system_score_codex":0.00003750235,"about_ca_system_score_gemma":0.0002742454,"threshold_uncertainty_score":0.62450093},"labels":[],"label_agreement":null},{"id":"W2998802309","doi":"10.3390/app10020429","title":"Auditory Coding of Reaching Space","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Regional Development Fund","keywords":"Kinematics; Computer science; Movement (music); Coding (social sciences); Motor control; Auditory feedback; Inertial frame of reference; Computer vision; Artificial intelligence; Psychology; Acoustics; Mathematics; Physics","score_opus":0.09412014933722632,"score_gpt":0.30140431463310075,"score_spread":0.20728416529587443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998802309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7370182,0.0000028467348,0.00086469465,0.0021369113,0.0003791067,0.000090457885,0.0000036406918,0.00008124245,0.25942287],"genre_scores_gemma":[0.99843824,0.0000060931225,0.0003506639,0.0009871538,0.00014257219,0.0000029588598,9.088182e-8,0.000003485032,0.00006874256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991974,0.000024301711,0.000121450095,0.00026710823,0.00024560897,0.00014410364],"domain_scores_gemma":[0.99945116,0.00030727056,0.00008981942,0.00008165516,0.000007590604,0.000062531995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062420666,0.000059662503,0.00009086464,0.000043669294,0.000253231,0.000037034974,0.00026405233,0.000018867926,0.000077752295],"category_scores_gemma":[0.0002705288,0.00005089342,0.000029365252,0.00035962302,0.00025270143,0.00016317256,0.000044825923,0.00011484781,0.000099829835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005195058,0.000008845933,0.000040643823,0.0000042773854,5.5920435e-7,0.0000013634644,0.0009218214,0.00015627251,0.9499662,0.047573816,0.00088773394,0.0004332794],"study_design_scores_gemma":[0.00005883616,0.000039064937,0.00008428407,0.0000056239187,0.0000028033396,0.0000031708757,0.0010997714,0.0011715378,0.9871962,0.000303762,0.009963342,0.00007160459],"about_ca_topic_score_codex":0.000008945002,"about_ca_topic_score_gemma":0.0000015174913,"teacher_disagreement_score":0.26141998,"about_ca_system_score_codex":0.00000837445,"about_ca_system_score_gemma":0.00003226848,"threshold_uncertainty_score":0.20753734},"labels":[],"label_agreement":null},{"id":"W2998860339","doi":"10.3390/app10020485","title":"3D Dense Separated Convolution Module for Volumetric Medical Image Analysis","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Overfitting; Redundancy (engineering); Kernel (algebra); Convolution (computer science); Pattern recognition (psychology); Deep learning; Segmentation; Computer vision; Algorithm; Artificial neural network; Mathematics","score_opus":0.03169635086599727,"score_gpt":0.30010592346943005,"score_spread":0.2684095726034328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998860339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013900461,0.00007516197,0.98009986,0.0039727236,0.0000566258,0.00036808007,0.000004907825,0.0002573311,0.0012648796],"genre_scores_gemma":[0.7970023,0.000010846214,0.20117706,0.0015602446,0.000079809404,0.00012771922,0.0000075906337,0.0000046472273,0.000029753779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979409,0.000028104674,0.00027458943,0.000756349,0.00062453863,0.0003755294],"domain_scores_gemma":[0.9988823,0.0003140894,0.0001322465,0.00030592803,0.00009130001,0.0002741271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004392002,0.00013216634,0.00022672208,0.00020535038,0.00046085293,0.00014695126,0.0014410161,0.000062223124,0.000036199748],"category_scores_gemma":[0.00016353381,0.00011688698,0.000088893015,0.008799898,0.00033766538,0.0003544776,0.00022443976,0.00010708316,0.000110155386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067939516,0.0003140996,0.0028294907,0.000048516587,0.00037729947,0.000016661426,0.0011483826,0.13039392,0.031172046,0.67331207,0.02675693,0.13356262],"study_design_scores_gemma":[0.00019865364,0.000054027198,0.0006981257,9.811765e-7,0.000039141072,0.0000015467233,0.000014555113,0.99129164,0.0017002544,0.0033064627,0.0025334451,0.00016119055],"about_ca_topic_score_codex":0.0000061499304,"about_ca_topic_score_gemma":0.000008827565,"teacher_disagreement_score":0.8608977,"about_ca_system_score_codex":0.000026972739,"about_ca_system_score_gemma":0.000118597614,"threshold_uncertainty_score":0.47665125},"labels":[],"label_agreement":null},{"id":"W2999862314","doi":"10.3390/app10020498","title":"Modeling the Optimal Maintenance Scheduling Strategy for Bridge Networks","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Elevator Systems and Control","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Basic Research Program of Shaanxi Province; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Optimal maintenance; Mathematical optimization; Scheduling (production processes); Job shop scheduling; Simulated annealing; Nonlinear programming; Operations research; Nonlinear system; Engineering; Mathematics; Computer network; Routing (electronic design automation)","score_opus":0.03838932872342396,"score_gpt":0.23607495280765284,"score_spread":0.19768562408422888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999862314","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16146055,0.00056569127,0.83489984,0.000338911,0.00013287815,0.00027783198,0.0000020070388,0.0001346168,0.0021876448],"genre_scores_gemma":[0.9976022,0.000009483948,0.0016835118,0.000262542,0.0003480493,0.000077948,5.6794516e-7,0.0000106827,0.0000049794503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926406,0.00000436952,0.00015070332,0.00017698976,0.000116652925,0.00028722192],"domain_scores_gemma":[0.99978757,0.000045696972,0.000017219365,0.00007848671,0.000016308119,0.0000546987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029039572,0.000091190275,0.00011109568,0.000009753749,0.0002419095,0.000119112054,0.00030865814,0.000032254084,0.0000029666608],"category_scores_gemma":[0.000008463877,0.000060899187,0.00003746888,0.00018071815,0.00006155215,0.00006799494,0.000017162482,0.00009730646,0.0000061429273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032066255,8.549941e-7,0.000006695742,0.000008846879,0.000006436369,1.8920609e-7,0.0001452375,0.98133504,0.0012241418,0.014907625,0.00010829349,0.002253431],"study_design_scores_gemma":[0.00013302837,0.000018251301,0.000008706107,0.0000069725434,0.000004492729,6.929211e-7,0.00054180284,0.9986627,0.00012955234,0.00013672274,0.00026581925,0.00009127069],"about_ca_topic_score_codex":0.000007959863,"about_ca_topic_score_gemma":0.0000045115908,"teacher_disagreement_score":0.8361417,"about_ca_system_score_codex":0.000008052808,"about_ca_system_score_gemma":0.000019352468,"threshold_uncertainty_score":0.24833968},"labels":[],"label_agreement":null},{"id":"W3000007264","doi":"10.3390/app10020586","title":"The Impact of Virtual Water on Sustainable Development in Gansu Province","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Virtual water; China; Sustainable development; Environmental science; Water use; Economic shortage; Water scarcity; Business; Water resource management; Mathematics; Agricultural economics; Natural resource economics; Environmental engineering; Geography; Economics; Agriculture; Political science","score_opus":0.009873938931786695,"score_gpt":0.23560747015078365,"score_spread":0.22573353121899695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000007264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758885,0.000005323455,0.000027633998,0.0004357702,0.000007789299,0.0003555635,4.441004e-7,0.000010623782,0.023268381],"genre_scores_gemma":[0.9993659,0.0000022392787,0.00009576755,0.00013734416,0.000006506915,0.00002068402,6.865169e-7,0.0000044074504,0.0003664332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985605,0.000033357937,0.00021386844,0.00029521793,0.00039308643,0.0005040003],"domain_scores_gemma":[0.9996522,0.00006207733,0.00004310633,0.00013590844,0.000002528589,0.000104176994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075056596,0.00012159448,0.000115386785,0.000019143457,0.00033826404,0.000044473607,0.00045704018,0.000029556088,0.000301622],"category_scores_gemma":[0.000038929942,0.000059718404,0.00003626688,0.0002824218,0.0009053399,0.0001568318,0.0002921726,0.000099966746,0.00013446606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007547682,0.00091686717,0.6368123,0.00005003391,0.000029893708,0.000051029983,0.03858384,0.12404146,0.13821608,0.014183307,0.0021300726,0.044230293],"study_design_scores_gemma":[0.00074058265,0.0014748703,0.69446784,0.00000672045,0.0000039053657,0.000001368843,0.01998664,0.0014175485,0.2722702,0.003022702,0.0061139604,0.0004936633],"about_ca_topic_score_codex":0.00026832044,"about_ca_topic_score_gemma":0.000047358713,"teacher_disagreement_score":0.13405412,"about_ca_system_score_codex":0.000363547,"about_ca_system_score_gemma":0.00006955904,"threshold_uncertainty_score":0.33357626},"labels":[],"label_agreement":null},{"id":"W3002429683","doi":"10.3390/app10030814","title":"EvoBot: An Open-Source, Modular, Liquid Handling Robot for Scientific Experiments","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"H2020 Future and Emerging Technologies","keywords":"Modular design; Modularity (biology); Reuse; Computer science; Robot; Self-reconfiguring modular robot; Key (lock); Open source; Human–computer interaction; Simple (philosophy); Systems engineering; Engineering; Artificial intelligence; Software; Mobile robot; Operating system; Robot control","score_opus":0.10123554553528774,"score_gpt":0.3044388390316984,"score_spread":0.20320329349641064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002429683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26048988,0.00037096345,0.73208046,0.00016505826,0.0005779386,0.0007847024,0.000005398919,0.00031920278,0.0052064103],"genre_scores_gemma":[0.97442824,0.0000068045442,0.02494087,0.00025073686,0.000119733435,0.00012438004,0.000009018726,0.000028008486,0.00009221078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984155,0.000010445241,0.00024058021,0.00059308903,0.00031822655,0.00042214204],"domain_scores_gemma":[0.99942607,0.000029279025,0.000036456717,0.00025304878,0.000035316276,0.00021981966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048512287,0.00017455469,0.00020112697,0.00006579678,0.00066661584,0.0008459528,0.0012841286,0.000052637803,0.000077792756],"category_scores_gemma":[0.000020533553,0.00015697835,0.00003489913,0.0004782904,0.00024629215,0.00040714818,0.00017073427,0.00008436479,0.000057421596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022606066,0.000029088627,0.000011264307,0.000022910404,0.000010396275,6.8386765e-7,0.0019782204,0.57725465,0.41003585,0.004243417,0.0004628728,0.0059280293],"study_design_scores_gemma":[0.00021753173,0.0002625497,0.000011634695,0.000013234006,0.0000073674737,0.0000010420233,0.0006270651,0.5690639,0.41564056,0.00035802825,0.013461539,0.00033555154],"about_ca_topic_score_codex":0.000010220171,"about_ca_topic_score_gemma":0.00000603945,"teacher_disagreement_score":0.71393836,"about_ca_system_score_codex":0.000021735334,"about_ca_system_score_gemma":0.000041088395,"threshold_uncertainty_score":0.81575423},"labels":[],"label_agreement":null},{"id":"W3002465036","doi":"10.3390/app10020676","title":"Receding-Horizon Vision Guidance with Smooth Trajectory Blending in the Field of View of Mobile Robots","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"National Defense Basic Scientific Research Program of China; Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; McGill University","keywords":"Mobile robot; Trajectory; Control theory (sociology); Kinematics; Computer science; Path (computing); Robot; Angular velocity; Inverse kinematics; Torque; Artificial intelligence; Computer vision; Control (management); Physics","score_opus":0.025429101234299794,"score_gpt":0.2920672194524547,"score_spread":0.26663811821815486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002465036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25042504,0.0010845312,0.7244574,0.0033578533,0.00034506214,0.00097111386,0.0000022066504,0.00012938134,0.019227436],"genre_scores_gemma":[0.88860095,0.000015070654,0.11103596,0.00029741248,0.00002410847,0.000021251532,1.8736858e-7,0.0000029735313,0.000002112992],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984748,0.00005773733,0.00029898234,0.00038412743,0.0005599707,0.00022440786],"domain_scores_gemma":[0.99895275,0.0005133394,0.0001987317,0.00026638297,0.00002659041,0.000042211403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010596772,0.00010803479,0.00022547663,0.000082087055,0.0000922393,0.000046538054,0.0015704561,0.00003584461,0.000003757867],"category_scores_gemma":[0.00005937922,0.0000673702,0.000026520558,0.0015561061,0.00019980376,0.00021852362,0.000113155016,0.00013177659,0.0000027125484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007708197,0.0003944686,0.012048104,0.00050928607,0.000032393255,0.00004477862,0.045008637,0.33954886,0.11796848,0.07427997,0.0027820226,0.40730593],"study_design_scores_gemma":[0.0027719294,0.01770797,0.0344625,0.0022148313,0.000053533553,0.000040787596,0.009877838,0.6603004,0.26326376,0.0044976613,0.0029590044,0.0018498413],"about_ca_topic_score_codex":0.000026613134,"about_ca_topic_score_gemma":0.000003314164,"teacher_disagreement_score":0.6381759,"about_ca_system_score_codex":0.000009538472,"about_ca_system_score_gemma":0.00008973067,"threshold_uncertainty_score":0.29183242},"labels":[],"label_agreement":null},{"id":"W3002793251","doi":"10.3390/app10030840","title":"A Mechanical Descriptor of Instability in Human Locomotion: Experimental Findings in Control Subjects and People with Transfemoral Amputation","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Montréal; Agence Nationale de la Recherche","keywords":"Physical medicine and rehabilitation; Gait; Balance (ability); Force platform; Population; Mathematics; Instability; Psychology; Simulation; Computer science; Medicine; Physics; Mechanics","score_opus":0.037109433791175005,"score_gpt":0.3314761111520251,"score_spread":0.2943666773608501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002793251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739033,0.000022500135,0.0008734682,0.00037730322,0.00003152543,0.0007646705,0.0000032896685,0.000016774138,0.00052016147],"genre_scores_gemma":[0.99926096,0.0000019034594,0.00041710417,0.00019175622,0.00001738236,0.000102022546,0.000003649978,0.0000036018507,0.0000016017057],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989322,0.00013025024,0.00029665217,0.0002629016,0.00018153139,0.00019647522],"domain_scores_gemma":[0.9997429,0.00007454772,0.0000648676,0.000046354053,0.000015252362,0.00005607428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064787426,0.00007520365,0.00020682836,0.000055878925,0.00018097815,0.000007691459,0.000089883986,0.00006342632,0.000013266006],"category_scores_gemma":[0.000013685341,0.000061701634,0.00001356736,0.000400803,0.00015540367,0.00013797516,0.000018391489,0.00016751129,0.0000017403459],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030841734,0.00042757008,0.35057646,0.00018129453,0.0000037659424,0.0000011820616,0.029072652,0.000012682829,0.6006855,0.018409336,0.000014086593,0.00030709198],"study_design_scores_gemma":[0.0051570907,0.0005427225,0.9688243,0.00009218048,0.000005905003,4.436058e-7,0.018825728,0.0019206622,0.0027678502,0.0017236798,0.000006259877,0.00013313147],"about_ca_topic_score_codex":0.00021110236,"about_ca_topic_score_gemma":0.0016131919,"teacher_disagreement_score":0.61824787,"about_ca_system_score_codex":0.000039569633,"about_ca_system_score_gemma":0.00007858261,"threshold_uncertainty_score":0.25161195},"labels":[],"label_agreement":null},{"id":"W3003109023","doi":"10.3390/app10030846","title":"Stability of Traveling Waves Based upon the Evans Function and Legendre Polynomials","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nonlinear Photonic Systems","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Legendre polynomials; Eigenvalues and eigenvectors; Associated Legendre polynomials; Eigenfunction; Mathematics; Mathematical analysis; Nonlinear system; Stability (learning theory); Applied mathematics; Physics; Classical orthogonal polynomials; Orthogonal polynomials; Computer science; Quantum mechanics","score_opus":0.03577826771536341,"score_gpt":0.24722578843530035,"score_spread":0.21144752071993694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003109023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766315,0.00004205782,0.002604279,0.00045988648,0.0000671343,0.00023804957,0.000019345422,0.000011167261,0.008894956],"genre_scores_gemma":[0.99940056,1.8588935e-7,0.00028784687,0.00007212584,0.00022189005,0.000009771732,0.000001952122,0.0000030931958,0.0000025849406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993428,0.00003271563,0.00015862822,0.00019829907,0.00015651305,0.0001110551],"domain_scores_gemma":[0.9996477,0.000121727724,0.00008138237,0.000096091826,0.00001427797,0.00003883171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925978,0.00006496063,0.000113058544,0.000009001349,0.0001469658,0.000034344484,0.00013490066,0.000012795064,0.00010880843],"category_scores_gemma":[0.0000050449125,0.00004172909,0.000029053277,0.00016849978,0.00019310675,0.000043379434,0.000023681932,0.000050481733,0.000004589237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001005862,0.000104266896,0.06039912,0.000083537365,0.0000543571,1.05803466e-7,0.004899639,0.0009856086,0.854257,0.044945963,0.00011514867,0.03405469],"study_design_scores_gemma":[0.0010852139,0.00026338408,0.016175637,0.000026243391,0.00007008661,3.0066374e-7,0.030682627,0.05530888,0.8896739,0.0034736914,0.0028710228,0.0003690269],"about_ca_topic_score_codex":0.00010191628,"about_ca_topic_score_gemma":0.0000062514473,"teacher_disagreement_score":0.05432327,"about_ca_system_score_codex":0.0000036564666,"about_ca_system_score_gemma":0.00008353814,"threshold_uncertainty_score":0.17016628},"labels":[],"label_agreement":null},{"id":"W3003482062","doi":"10.3390/app10030884","title":"DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Convolutional neural network; Benchmark (surveying); Computer science; Sigmoid function; MNIST database; Routing (electronic design automation); Artificial intelligence; Network architecture; Pattern recognition (psychology); Field (mathematics); Data mining; Deep learning; Artificial neural network; Computer network; Mathematics; Cartography","score_opus":0.018094262127937136,"score_gpt":0.24664874606500503,"score_spread":0.2285544839370679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003482062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06985878,0.000049135753,0.9185534,0.0020130153,0.0000577805,0.0003399779,0.00000135747,0.0003522455,0.008774279],"genre_scores_gemma":[0.86130553,0.000010337729,0.13645984,0.0020214794,0.00009831312,0.000064383574,0.0000013151772,0.000008951077,0.000029831252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979986,0.00002688518,0.00018828794,0.0007714765,0.00037111776,0.00064365775],"domain_scores_gemma":[0.9991536,0.0000956415,0.00014202055,0.00034767413,0.000028277875,0.00023279665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021933319,0.00018616914,0.00017740195,0.000029985546,0.0007262271,0.00021243698,0.0014594328,0.000038626866,0.000016521119],"category_scores_gemma":[0.00001581697,0.00015015954,0.000035699817,0.0018421056,0.00036124705,0.00040229762,0.00036134067,0.00017563767,0.00010022305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029860848,0.000065739194,0.0004091545,0.00001481566,0.000027248183,0.000019898764,0.006910662,0.3765468,0.077561356,0.46749467,0.0010986245,0.06982118],"study_design_scores_gemma":[0.0007047668,0.00029491083,0.001425836,0.000035798843,0.000021912143,0.000017584001,0.0013915998,0.97154766,0.010296427,0.011762019,0.0016532651,0.0008482086],"about_ca_topic_score_codex":0.0000073847787,"about_ca_topic_score_gemma":0.00002055385,"teacher_disagreement_score":0.79144675,"about_ca_system_score_codex":0.00004441223,"about_ca_system_score_gemma":0.00010962155,"threshold_uncertainty_score":0.6123329},"labels":[],"label_agreement":null},{"id":"W3003644065","doi":"10.3390/app10030934","title":"Machine Learning and DWI Brain Communicability Networks for Alzheimer’s Disease Detection","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Servier; University of Southern California; Eli Lilly and Company; Genentech; IXICO","keywords":"Computer science; Artificial intelligence; Machine learning; Brain disease; Feature (linguistics); Pattern recognition (psychology); Disease; Medicine; Pathology","score_opus":0.11891175296995896,"score_gpt":0.3755350759972443,"score_spread":0.2566233230272853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003644065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096855015,0.0026648983,0.8154617,0.07779521,0.00004177324,0.0030217273,0.000016903683,0.0010514403,0.0030913327],"genre_scores_gemma":[0.9843688,0.000068876514,0.013053599,0.0023248377,0.000045660254,0.00011490973,0.000007782127,0.0000073164288,0.000008237169],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994118,0.000014457611,0.00010285466,0.00026168744,0.00008183248,0.00012734233],"domain_scores_gemma":[0.99948716,0.00019343261,0.000044368095,0.00011526533,0.000015660236,0.00014412627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020477912,0.000069884554,0.000104421466,0.000016753187,0.00038209185,0.000021961481,0.00009311508,0.000018369512,0.000004519982],"category_scores_gemma":[0.00009929903,0.000058857917,0.000026039193,0.00020003176,0.0002940074,0.000038080143,0.000073038245,0.00014747013,8.612123e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011654982,0.00033189275,0.06821449,0.00019208681,0.000056390098,0.0000040150103,0.00069897284,0.0048120986,0.09519912,0.05899499,0.0015759348,0.7687545],"study_design_scores_gemma":[0.0010162115,0.0005727051,0.0128426645,0.000022758499,0.00015169584,0.00000816854,0.00018757966,0.8484577,0.005739991,0.012285922,0.1183972,0.00031738897],"about_ca_topic_score_codex":0.000004602627,"about_ca_topic_score_gemma":0.000001898487,"teacher_disagreement_score":0.88751376,"about_ca_system_score_codex":0.000005450795,"about_ca_system_score_gemma":0.00001565841,"threshold_uncertainty_score":0.29387802},"labels":[],"label_agreement":null},{"id":"W3004253465","doi":"10.3390/app10030919","title":"White Matter Network Alterations in Alzheimer’s Disease Patients","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Genentech; IXICO; Bristol-Myers Squibb; Gyeonggi-do Regional Research Center; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Gachon University; Novartis Pharmaceuticals Corporation; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"White matter; Fractional anisotropy; Grey matter; Neuroscience; Cognitive impairment; Diffusion MRI; Alzheimer's disease; Psychology; Disease; Medicine; Audiology; Internal medicine; Cognition; Magnetic resonance imaging","score_opus":0.05959961325706789,"score_gpt":0.26604541888198907,"score_spread":0.20644580562492118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004253465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8466932,0.00009792517,0.00035028282,0.07855978,0.0006650171,0.0008791818,0.00003119928,0.0001504458,0.07257297],"genre_scores_gemma":[0.9600628,0.0000020489047,0.00019893877,0.03951021,0.00012646777,0.00006629127,0.0000014346953,0.000005790565,0.000026018408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862105,0.000047613914,0.00015057602,0.00055055204,0.00035124776,0.0002789809],"domain_scores_gemma":[0.9990045,0.00071945915,0.000047656456,0.000101688245,0.000013150383,0.00011358542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013105111,0.00010600118,0.00010393297,0.000043723016,0.00042442817,0.000091831585,0.000262844,0.000015103901,0.00014704355],"category_scores_gemma":[0.00045617085,0.00009239649,0.0000258408,0.0008357188,0.00029508525,0.0002148756,0.00014161761,0.00008753408,0.0004987598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006922598,0.00010464844,0.9072987,0.0000055522246,0.000004004446,0.0000046094206,0.00088042516,0.016144773,0.0005829447,0.017097153,0.05734607,0.00046190908],"study_design_scores_gemma":[0.00058281317,0.00011092461,0.97639936,0.000013674564,0.000018036828,4.110841e-7,0.00015712678,0.0055600763,0.0012550589,0.007844757,0.0076181977,0.00043955946],"about_ca_topic_score_codex":0.0000034646712,"about_ca_topic_score_gemma":0.000012958211,"teacher_disagreement_score":0.11336961,"about_ca_system_score_codex":0.0000119749475,"about_ca_system_score_gemma":0.000042069925,"threshold_uncertainty_score":0.64107144},"labels":[],"label_agreement":null},{"id":"W3004559716","doi":"10.3390/app10031067","title":"Decentralized Bioinspired Non-Discrete Model for Autonomous Swarm Aggregation Dynamics","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Mathematical optimization; Aggregate (composite); Computer science; Minification; Scalar (mathematics); Mathematics; Geometry","score_opus":0.0338844925083424,"score_gpt":0.26844004481763706,"score_spread":0.23455555230929465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004559716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70150423,0.00020236213,0.27756432,0.0016073693,0.0002199526,0.0013015802,0.00007464941,0.00066996686,0.016855601],"genre_scores_gemma":[0.98551977,0.000032624557,0.014084875,0.00015925862,0.000046685003,0.00008624371,0.000019205,0.000016042233,0.00003529749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999018,0.0000034414431,0.00015050844,0.00024453347,0.00021530737,0.0003681756],"domain_scores_gemma":[0.9996841,0.0000453789,0.00002095825,0.00009301427,0.00002073326,0.00013584225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473989,0.0001130471,0.00013243611,0.000053613392,0.00016224843,0.00009365049,0.00031207956,0.000050212708,0.000009385687],"category_scores_gemma":[0.00001979054,0.000101919475,0.00004610978,0.00033869623,0.000113875314,0.00010260286,0.000035015655,0.000071001305,0.000025195706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004249465,0.000014214249,0.00048317842,0.00012717892,0.00002904539,0.0000013653937,0.0016348438,0.8877204,0.06470368,0.014726619,0.0014571737,0.0290598],"study_design_scores_gemma":[0.0003560363,0.000031085765,0.000059533922,0.000004603889,0.0000060671373,3.049162e-7,0.00010659172,0.9751201,0.023044357,0.00077086827,0.00036387207,0.00013652528],"about_ca_topic_score_codex":0.0000046794016,"about_ca_topic_score_gemma":0.0000116611645,"teacher_disagreement_score":0.28401557,"about_ca_system_score_codex":0.00005362365,"about_ca_system_score_gemma":0.00006372679,"threshold_uncertainty_score":0.41561556},"labels":[],"label_agreement":null},{"id":"W3005028058","doi":"10.3390/app10031027","title":"3D Numerical Modeling of Induced-Polarization Grounded Electrical-Source Airborne Transient Electromagnetic Response Based on the Fictitious Wave Field Methods","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Finite-difference time-domain method; Amplitude; Maxwell's equations; Time domain; Electromagnetic field; Electrical conductor; Polarization (electrochemistry); Transient (computer programming); Transient response; Physics; Frequency domain; Acoustics; Computer science; Mathematical analysis; Engineering; Optics; Classical mechanics; Mathematics; Electrical engineering; Chemistry","score_opus":0.03836056945950065,"score_gpt":0.2626015443603318,"score_spread":0.22424097490083114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005028058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51945615,0.00006687542,0.4660273,0.008372776,0.000065988104,0.0004027247,0.0000039258875,0.000078915,0.0055253394],"genre_scores_gemma":[0.9610918,0.0000026410175,0.034258153,0.0045618555,0.000060269642,0.000006490126,0.0000040589107,0.000004192548,0.000010534731],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99734,0.00076883944,0.00033281845,0.00049623643,0.0006019353,0.00046014274],"domain_scores_gemma":[0.9958302,0.0036712831,0.000102401646,0.00017604955,0.000041683288,0.0001783777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014803923,0.00018879822,0.0002821048,0.000095372576,0.00037280822,0.000070644404,0.00042078024,0.00009771677,0.00036142016],"category_scores_gemma":[0.0008323126,0.000118730706,0.0000944947,0.002318821,0.0001277965,0.00006770276,0.000011700094,0.00038689683,0.00002659902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021562448,0.00017684091,0.0001906,0.000022399165,0.000024530687,0.000004537734,0.00083447585,0.1873963,0.07768729,0.0037467836,0.00010246702,0.7276575],"study_design_scores_gemma":[0.00018070977,0.002720674,0.0050953776,0.000004722638,0.00002020369,0.0000012596887,0.000057578065,0.9762991,0.013133657,0.002156954,0.00015890939,0.00017083323],"about_ca_topic_score_codex":0.0002595942,"about_ca_topic_score_gemma":0.000007970284,"teacher_disagreement_score":0.7889028,"about_ca_system_score_codex":0.0000061512364,"about_ca_system_score_gemma":0.0001266797,"threshold_uncertainty_score":0.48416978},"labels":[],"label_agreement":null},{"id":"W3005272347","doi":"10.3390/app10031059","title":"Numerical Study of a Horizontal and Vertical Shell and Tube Ice Storage Systems Considering Three Types of Tube","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Tube (container); Electromagnetic coil; Materials science; Mechanics; Composite material; Electrical engineering; Engineering; Physics","score_opus":0.058246023049843706,"score_gpt":0.2717765601827097,"score_spread":0.21353053713286596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005272347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980485,0.00041667005,0.00041672942,0.000021214468,0.000057716643,0.00025282666,0.000004072442,0.000035413635,0.00074686896],"genre_scores_gemma":[0.9998496,0.000008375273,0.000083788334,0.000004509591,0.000032659995,0.0000133960975,2.2363241e-7,0.0000071746485,2.484996e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992103,0.000018025727,0.00016847068,0.00018002732,0.0002643763,0.00015880144],"domain_scores_gemma":[0.99969846,0.00011109346,0.000013251491,0.000069638074,0.000014743675,0.00009283351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021689248,0.00008137433,0.00023032042,0.00004343424,0.000042951164,0.00004264723,0.00012116571,0.000026812262,0.000010127437],"category_scores_gemma":[0.00003369975,0.0000683513,0.000007336702,0.0002047916,0.00022518334,0.000063062966,0.00009135622,0.00006117279,0.000002185511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048212376,0.00006383565,0.0029723232,0.0004176534,0.000041121864,0.0000121682015,0.0040640957,0.0040604183,0.9868991,0.00090632,0.00003216547,0.00048259765],"study_design_scores_gemma":[0.0025486846,0.002754281,0.011154367,0.00011297239,0.000077757555,0.000034480257,0.01670888,0.6150988,0.35049275,0.00023910536,0.00010759492,0.0006703602],"about_ca_topic_score_codex":0.000076307915,"about_ca_topic_score_gemma":0.000011374917,"teacher_disagreement_score":0.63640636,"about_ca_system_score_codex":0.000007916192,"about_ca_system_score_gemma":0.000014463901,"threshold_uncertainty_score":0.27872851},"labels":[],"label_agreement":null},{"id":"W3005314474","doi":"10.3390/app10030943","title":"Topology Optimization for Multipatch Fused Deposition Modeling 3D Printing","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Topology optimization; Fused deposition modeling; Topology (electrical circuits); Interpolation (computer graphics); Deposition (geology); Layer (electronics); Computer science; Asynchronous communication; Zigzag; 3D printing; Mathematical optimization; Materials science; Nanotechnology; Engineering; Mathematics; Mechanical engineering; Frame (networking); Finite element method; Geometry","score_opus":0.023733806882378722,"score_gpt":0.23396618217181722,"score_spread":0.2102323752894385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005314474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021488959,0.000035082518,0.97498673,0.00038297407,0.0002177636,0.00026183098,0.0000020647049,0.0005729269,0.0020516692],"genre_scores_gemma":[0.6242521,0.0000062419163,0.37543395,0.00010669237,0.00012596171,0.00005420215,0.0000059773647,0.0000138141295,0.0000010626245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992111,0.0000059763224,0.00020207469,0.00023054246,0.00009313622,0.0002572238],"domain_scores_gemma":[0.9997636,0.00005632901,0.000026110047,0.00007084749,0.00002587884,0.0000572544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013784211,0.000110110406,0.00013305506,0.00006506826,0.00018269784,0.000042311844,0.00017759511,0.00007821448,0.00002785195],"category_scores_gemma":[0.000034563032,0.00011938683,0.000023282899,0.00028015714,0.000067488545,0.00013142604,0.000026427915,0.00008177475,0.000005770854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030812155,0.0000026627126,0.000028608616,0.000026513166,0.000006038788,1.4367174e-7,0.00036298193,0.9930661,0.0032156305,0.0015556422,0.00002647757,0.0017061725],"study_design_scores_gemma":[0.00023936096,0.000017539789,0.000002804875,0.0000038583726,0.000007298885,0.0000011328485,0.0001843867,0.99658394,0.002725939,0.000053226388,0.00004655111,0.00013398645],"about_ca_topic_score_codex":0.000001978145,"about_ca_topic_score_gemma":9.383242e-7,"teacher_disagreement_score":0.6027632,"about_ca_system_score_codex":0.000021588588,"about_ca_system_score_gemma":0.000011935081,"threshold_uncertainty_score":0.48684534},"labels":[],"label_agreement":null},{"id":"W3005431851","doi":"10.3390/app10031099","title":"Analyzing the Association between Candida Prevalence, Species Specificity, and Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis— Candida and OSCC","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Confidence interval; Odds ratio; Basal cell; Medicine; Candida albicans; Web of science; Internal medicine; Observational study; Oncology; Biology; Microbiology","score_opus":0.10094491894135166,"score_gpt":0.35232595603088374,"score_spread":0.2513810370895321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005431851","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044600057,0.99530023,0.0000105423205,0.00019287379,0.00004302381,0.0025360542,0.00031637689,0.000024083944,0.0011307944],"genre_scores_gemma":[0.112373985,0.8859413,0.00007720398,0.00011322743,0.000051111594,0.00031505415,0.000028150564,0.0000139243275,0.0010859973],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99629664,0.0008610997,0.0010206946,0.00092076825,0.0004884742,0.00041231455],"domain_scores_gemma":[0.99668586,0.0014344695,0.0012983877,0.00036490057,0.000042889897,0.00017346414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027083168,0.00049710757,0.005005603,0.00019781798,0.00078770693,0.00026808717,0.0003919088,0.00021987711,0.00007490562],"category_scores_gemma":[0.00010099667,0.0002646305,0.00047706396,0.001304265,0.00038823913,0.00008983941,0.00024351523,0.00039614527,0.000034373672],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021165665,0.00003583933,0.01678671,0.9677993,0.012909998,0.00006512463,0.00029905673,2.5852543e-7,9.6718885e-8,0.0008397098,0.00033989068,0.00092191825],"study_design_scores_gemma":[0.000159063,0.000081797574,0.0025594935,0.0014536972,0.988966,0.000043673215,0.00012792702,0.0000026481266,8.5157336e-7,0.00009440106,0.0060932073,0.00041727128],"about_ca_topic_score_codex":0.00018062904,"about_ca_topic_score_gemma":0.00046039166,"teacher_disagreement_score":0.976056,"about_ca_system_score_codex":0.00014497031,"about_ca_system_score_gemma":0.00015452706,"threshold_uncertainty_score":0.99998057},"labels":[],"label_agreement":null},{"id":"W3005601718","doi":"10.3390/app10031192","title":"Investigation of Vocal Fatigue Using a Dose-Based Vocal Loading Task","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Foundation for the National Institutes of Health","keywords":"Session (web analytics); Audiology; Swallowing; Medicine; Task (project management); Physical medicine and rehabilitation; Speech recognition; Physical therapy; Computer science; Surgery; Engineering","score_opus":0.1338641704443194,"score_gpt":0.3185377206554473,"score_spread":0.18467355021112788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005601718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865414,0.000043823842,0.00699249,0.0029570535,0.000033529435,0.00020674968,0.0000013863887,0.00003856579,0.0031850382],"genre_scores_gemma":[0.9899062,0.0000012368643,0.007325165,0.0026911304,0.00005893738,0.000004226698,0.000004288142,0.000005443526,0.0000033803076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900186,0.000013795559,0.00019205482,0.00023818517,0.0003810846,0.0001730433],"domain_scores_gemma":[0.9996244,0.00005133346,0.00007974258,0.00007945473,0.000028917368,0.00013620369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023334261,0.00008418458,0.00017493991,0.000073905416,0.000111158224,0.000019497527,0.00011528932,0.000047157184,0.00003401317],"category_scores_gemma":[0.00006932602,0.00006892052,0.000040423558,0.00067465595,0.0004964137,0.000073887146,0.000020126545,0.000090498936,0.0000115210405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006443563,0.000022642753,0.025696421,0.00010803121,0.000011904626,0.0000041347193,0.0016540055,0.0011779572,0.9664036,0.0021526534,0.00029384397,0.0024103927],"study_design_scores_gemma":[0.003803939,0.00096854573,0.0192337,0.00025664933,0.00018575236,0.000008560002,0.0075588897,0.2170867,0.7477061,0.0020501686,0.0006314697,0.0005095173],"about_ca_topic_score_codex":0.00004855097,"about_ca_topic_score_gemma":0.0000069446955,"teacher_disagreement_score":0.21869747,"about_ca_system_score_codex":0.000015827969,"about_ca_system_score_gemma":0.00028655873,"threshold_uncertainty_score":0.2810497},"labels":[],"label_agreement":null},{"id":"W3005803229","doi":"10.3390/app10031150","title":"Natural Brain-Inspired Intelligence for Non-Gaussian and Nonlinear Environments with Finite Memory","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Coral Reef Conservation Program; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Nonlinear system; Upgrade; Gaussian; Real-time computing; Computer engineering; Artificial intelligence","score_opus":0.019778496324261898,"score_gpt":0.23488252427159964,"score_spread":0.21510402794733774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005803229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093334146,0.00016082823,0.89130783,0.0130326,0.00022181142,0.0006256544,0.0000019182876,0.00010668427,0.0012085524],"genre_scores_gemma":[0.89389336,0.000008049398,0.10283454,0.0030641286,0.0001358198,0.000014183842,0.0000010170344,0.0000059517956,0.00004294872],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852544,0.000013431557,0.00017381912,0.00062888674,0.00030023666,0.00035821146],"domain_scores_gemma":[0.99928063,0.0002924935,0.00009002383,0.00017331728,0.000009144455,0.00015437264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024439974,0.00015366152,0.00015809218,0.000039049813,0.00046182802,0.0002534842,0.0009522979,0.000032179538,0.000001725738],"category_scores_gemma":[0.000020591546,0.00010339975,0.000028838054,0.0004600303,0.00032968272,0.0002583937,0.0003628075,0.00012985706,0.000008233204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022132693,0.00019176296,0.0013913594,0.0002210221,0.000099019686,0.00008028181,0.011723775,0.14626235,0.04592824,0.037805844,0.0019826947,0.75409234],"study_design_scores_gemma":[0.00021486351,0.0002730393,0.0002903752,0.000017524282,0.0000031669722,0.0000048406796,0.0001487879,0.98936343,0.0069595547,0.0005557533,0.0019473626,0.00022132376],"about_ca_topic_score_codex":0.0000035837083,"about_ca_topic_score_gemma":0.0000037997968,"teacher_disagreement_score":0.8431011,"about_ca_system_score_codex":0.000007892758,"about_ca_system_score_gemma":0.000038734583,"threshold_uncertainty_score":0.42165193},"labels":[],"label_agreement":null},{"id":"W3005880871","doi":"10.3390/app10031162","title":"Visible Spectrum and Infra-Red Image Matching: A New Method","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Scale-invariant feature transform; Artificial intelligence; Pattern recognition (psychology); Histogram; Matching (statistics); Computer science; Mathematics; Feature (linguistics); Computer vision; Image (mathematics); Statistics","score_opus":0.027999367732250192,"score_gpt":0.3239087811177353,"score_spread":0.2959094133854851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005880871","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008296935,0.00012950673,0.97239965,0.009691488,0.00003628915,0.00017620134,5.5788166e-7,0.0004235533,0.016313035],"genre_scores_gemma":[0.15905271,0.00004308527,0.8379114,0.0028266683,0.000079536025,0.0000059599574,2.6138534e-7,0.000006148495,0.00007417293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985147,0.00002614478,0.00018668837,0.00062394724,0.00032675333,0.00032175245],"domain_scores_gemma":[0.999313,0.00012176834,0.000085731925,0.00023365581,0.000014840911,0.00023100636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000418044,0.00014968417,0.00019157061,0.000079399855,0.00025172072,0.00044252395,0.0010248701,0.00003749591,0.00002261499],"category_scores_gemma":[0.000051247815,0.00012272826,0.00003289427,0.0011096884,0.00016095991,0.0009249881,0.0005009879,0.00014573905,0.000035171022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019205634,0.00002741549,0.00011249316,0.000029178662,0.000011389398,0.000021643751,0.0035516487,0.00004666375,0.25846058,0.50547916,0.0070149535,0.22522566],"study_design_scores_gemma":[0.00028629575,0.0002480672,0.00031032992,0.000010797141,0.0000054986526,0.000016800834,0.00018387634,0.0074981744,0.4531689,0.5227303,0.015182115,0.00035885922],"about_ca_topic_score_codex":0.000025110283,"about_ca_topic_score_gemma":0.0000015502945,"teacher_disagreement_score":0.22486681,"about_ca_system_score_codex":0.000010384997,"about_ca_system_score_gemma":0.00010472632,"threshold_uncertainty_score":0.50047135},"labels":[],"label_agreement":null},{"id":"W3006150768","doi":"10.3390/app10041233","title":"Experimental and Analytical Investigation on Flexural Retrofitting of RC T-Section Beams Using CFRP Sheets","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Retrofitting; Flexural strength; Structural engineering; Materials science; Beam (structure); Cracking; Reinforced concrete; Section (typography); Failure mode and effects analysis; Composite material; Engineering; Computer science","score_opus":0.05641063379859244,"score_gpt":0.26979757942394345,"score_spread":0.21338694562535102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006150768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749166,0.000027835082,0.00043277373,0.000029984776,0.000099092475,0.000085441745,8.110114e-7,0.00007998804,0.0017524294],"genre_scores_gemma":[0.99672085,5.7154284e-7,0.0031394775,0.0000571248,0.00007117322,0.0000022440652,0.0000012110107,0.0000063309385,0.0000010462404],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993152,0.000005314228,0.0001532199,0.00016817609,0.00022336791,0.00013472966],"domain_scores_gemma":[0.99980223,0.000026096734,0.000035535184,0.000049761504,0.000008277146,0.00007812178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007985231,0.000090358415,0.00011073102,0.00005064573,0.000087395034,0.000036994075,0.00008776912,0.00004165369,0.000018714258],"category_scores_gemma":[0.000015511947,0.00008223062,0.000018794868,0.00026709022,0.00021700704,0.00013719837,0.00002566608,0.00008462451,0.0000017326807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051863085,1.2627628e-7,0.0007358223,0.000009093324,0.0000034137222,3.5915303e-7,0.00049937604,0.011822695,0.9841157,0.0016925666,0.0000075392127,0.0011080994],"study_design_scores_gemma":[0.00010689714,0.0000723705,0.0015657974,0.000009225584,0.0000071062877,0.0000023984637,0.00055817317,0.2569072,0.74064976,0.000025719257,0.0000038828603,0.00009149795],"about_ca_topic_score_codex":0.000010009571,"about_ca_topic_score_gemma":4.3857096e-8,"teacher_disagreement_score":0.24508448,"about_ca_system_score_codex":0.000031369018,"about_ca_system_score_gemma":0.000011088262,"threshold_uncertainty_score":0.33532673},"labels":[],"label_agreement":null},{"id":"W3006775572","doi":"10.3390/app10041400","title":"A Design and Fabrication Method for Wood-Inspired Composites by Micro X-Ray Computed Tomography and 3D Printing","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anisotropy; 3D printing; Materials science; Composite material; Tomography; Fabrication; Computer science; Physics; Optics","score_opus":0.022641926623013064,"score_gpt":0.2362420200563358,"score_spread":0.21360009343332273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006775572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15800244,0.00021979712,0.84045345,0.00027231357,0.000018595998,0.0002710789,0.0000038741746,0.00061290216,0.00014555467],"genre_scores_gemma":[0.5352191,0.000006836392,0.46468002,0.000053916057,0.000009658079,0.000023113453,0.0000017439978,0.000004964623,6.48035e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993645,0.000013425049,0.00011299766,0.00026942155,0.00006936304,0.0001702975],"domain_scores_gemma":[0.99952656,0.0003225085,0.00003818914,0.000059501544,0.000013869635,0.0000393642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025686147,0.0001106151,0.00013206992,0.00006482081,0.00020849086,0.000099000004,0.00016116333,0.00004420025,8.7283183e-7],"category_scores_gemma":[0.000030258201,0.00009978313,0.000013778995,0.00022901925,0.00017008546,0.00005123475,0.00007218726,0.000072607254,7.720354e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009504199,0.000012706977,0.0007542927,0.00014707693,0.00005072928,2.4817996e-7,0.0010693806,0.01516861,0.8118684,0.0012027333,0.0017172785,0.16799903],"study_design_scores_gemma":[0.00020406797,0.000061288905,0.0014180304,0.000014026778,0.0000133722815,8.90724e-7,0.00020385097,0.33734852,0.65797937,0.00083698606,0.0017174925,0.0002021058],"about_ca_topic_score_codex":0.0000022160448,"about_ca_topic_score_gemma":1.05051825e-7,"teacher_disagreement_score":0.37721667,"about_ca_system_score_codex":0.0000043317536,"about_ca_system_score_gemma":0.0000037120365,"threshold_uncertainty_score":0.4069038},"labels":[],"label_agreement":null},{"id":"W3006886715","doi":"10.3390/app10041285","title":"Optimisation of a Heat Source for Infrared Thermography Measurements: Comparison to Mehler Engineering + Service-Heater","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Thermography; Materials science; Halogen lamp; Reflector (photography); Heating system; Infrared; Datasheet; Nuclear engineering; Optics; Mechanical engineering; Light source; Engineering; Electrical engineering","score_opus":0.04786949093443553,"score_gpt":0.24361552404118292,"score_spread":0.19574603310674737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006886715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53742653,0.00011184321,0.4589196,0.00018145161,0.00008516515,0.00081260706,0.00004020184,0.00062499446,0.0017975997],"genre_scores_gemma":[0.9800468,0.0000015693953,0.01948798,0.0002894129,0.000035143305,0.000118581695,0.000003492174,0.000016136468,8.449782e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999206,0.000005035192,0.00021045227,0.00017827003,0.00020411205,0.00019614233],"domain_scores_gemma":[0.99971634,0.0000431447,0.000020691774,0.00009927767,0.000036027803,0.00008449535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958295,0.00012737642,0.00017810149,0.00012068806,0.00005835231,0.000030181136,0.00025296764,0.000048127327,0.000016697466],"category_scores_gemma":[0.00000748073,0.00011649892,0.000052460127,0.00072733697,0.000033228203,0.00006223603,0.00002048666,0.00005546367,0.0000010862142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001996019,0.000009990784,0.00026840478,0.00010934406,0.000028491566,2.4200713e-8,0.003472137,0.3644682,0.62963957,0.00011279971,0.0003977995,0.001473321],"study_design_scores_gemma":[0.0003087261,0.00015914158,0.00089752837,0.000050628718,0.000038210026,2.750526e-7,0.0006958508,0.19482136,0.7995815,0.00021043356,0.0029062778,0.0003300462],"about_ca_topic_score_codex":0.000008685224,"about_ca_topic_score_gemma":0.0000017823576,"teacher_disagreement_score":0.44262034,"about_ca_system_score_codex":0.000008455144,"about_ca_system_score_gemma":0.0000073666006,"threshold_uncertainty_score":0.4750688},"labels":[],"label_agreement":null},{"id":"W3007150560","doi":"10.3390/app10051588","title":"Mechanical Strength Evaluation of Elastic Materials by Multiphysical Nondestructive Methods: A Review","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; University of Electronic Science and Technology of China; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Nondestructive testing; Materials science; Structural material; Destructive testing; Residual stress; Ultimate tensile strength; Stress–strain curve; Structural engineering; Stress (linguistics); Compressive strength; Composite material; Deformation (meteorology); Materials testing; Engineering","score_opus":0.06112179971578014,"score_gpt":0.38264591908616863,"score_spread":0.3215241193703885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007150560","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008907705,0.9876083,0.009625242,0.0000023961609,0.00016506502,0.0013906443,0.00046637008,0.00018701667,0.000546054],"genre_scores_gemma":[0.00082850026,0.9827979,0.015691666,0.000010805517,0.000053889253,0.00054640765,0.000041779822,0.000028593326,4.1455093e-7],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978653,0.00034035277,0.0006316397,0.0004050586,0.00054816616,0.0002094872],"domain_scores_gemma":[0.99892086,0.0004951749,0.0002478215,0.0002197359,0.000044797052,0.00007159364],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019783191,0.00033720353,0.001511728,0.000089484565,0.000049083636,0.000025425124,0.00051788177,0.00017146324,0.00012879024],"category_scores_gemma":[0.00013012945,0.00025380094,0.00020406209,0.0008029537,0.00020255914,0.000049471466,0.000056073437,0.0002207484,0.0000050340223],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.632093e-7,0.0000134798465,2.4595397e-9,0.011844604,0.00007320327,1.9376044e-7,0.000021847944,0.000004681944,0.0048669456,0.0014477784,0.00029635263,0.98143005],"study_design_scores_gemma":[0.00054004247,0.00041242165,7.42436e-7,0.08747265,0.014574416,0.000034323413,0.00013169303,0.0047454564,0.07691472,0.018951092,0.7933312,0.0028912483],"about_ca_topic_score_codex":0.0000032464056,"about_ca_topic_score_gemma":2.1822518e-7,"teacher_disagreement_score":0.9785388,"about_ca_system_score_codex":0.000046255613,"about_ca_system_score_gemma":0.0001263359,"threshold_uncertainty_score":0.9999914},"labels":[],"label_agreement":null},{"id":"W3007348959","doi":"10.3390/app10041370","title":"Spinal Cord Segmentation in Ultrasound Medical Imagery","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"Prince Sultan University","keywords":"Spinal cord; Laminectomy; Medicine; Segmentation; Cord; Decompression; Artificial intelligence; Surgery; Computer science","score_opus":0.023386187914192797,"score_gpt":0.2812859948886793,"score_spread":0.2578998069744865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007348959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395794,0.0002299046,0.030542012,0.002998082,0.00014291808,0.00007420546,0.0000010948012,0.00021700999,0.026215332],"genre_scores_gemma":[0.9975929,0.000025553907,0.0014772618,0.00081126747,0.00007690616,0.000005934811,0.000001918048,0.000003016981,0.000005204224],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920815,0.0000072339144,0.00012656662,0.00013624535,0.00037928074,0.00014253015],"domain_scores_gemma":[0.99978334,0.000043868375,0.0000102204085,0.000034664325,0.0000033934305,0.00012452967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002670039,0.000053039585,0.000086541804,0.000042453474,0.00003885111,0.000036328976,0.00015822236,0.00002221369,0.00027434956],"category_scores_gemma":[0.00007833083,0.000044285607,0.000016094293,0.0004940974,0.00015856136,0.000059197304,0.000011649317,0.00010621902,0.000076862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032765376,0.000085250686,0.02978604,0.00023040404,0.000055446617,0.00010900927,0.0022653893,0.011943098,0.3185583,0.0040918007,0.019184275,0.6136582],"study_design_scores_gemma":[0.0022227021,0.00036087737,0.0236503,0.0002216325,0.00008376217,0.00003875872,0.010688921,0.86906165,0.08043462,0.004346994,0.0073321396,0.001557648],"about_ca_topic_score_codex":0.00000796975,"about_ca_topic_score_gemma":0.0000034027453,"teacher_disagreement_score":0.85711855,"about_ca_system_score_codex":0.000009507489,"about_ca_system_score_gemma":0.000022438595,"threshold_uncertainty_score":0.30039352},"labels":[],"label_agreement":null},{"id":"W3009338247","doi":"10.3390/app10051746","title":"An Analytical Approach to Cutter Edge Temperature Prediction in Milling and Its Application to Trochoidal Milling","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Aeronautical Science Foundation of China; National Natural Science Foundation of China","keywords":"Enhanced Data Rates for GSM Evolution; Milling cutter; Machining; Mechanical engineering; Engineering; Tool path; Cutter location; Engineering drawing","score_opus":0.01543211551591437,"score_gpt":0.24789298199964913,"score_spread":0.23246086648373476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009338247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3905867,0.0000757106,0.60695076,0.00025572864,0.00003346668,0.0003322401,0.0000044482645,0.00014503322,0.0016159422],"genre_scores_gemma":[0.97408277,0.0000114563845,0.025218435,0.0004838319,0.00011615855,0.00006273245,0.00001063741,0.000011160514,0.0000028343463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918807,0.000004792136,0.00014322327,0.0003477331,0.00013931055,0.00017688976],"domain_scores_gemma":[0.99974954,0.000012593609,0.000012586294,0.000058411995,0.000017062643,0.00014982537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012210704,0.000101395555,0.00010640125,0.000089674926,0.0001061736,0.00007024995,0.00013404236,0.000052798052,0.0000015958143],"category_scores_gemma":[0.000014523202,0.00009478496,0.000007915051,0.0007476008,0.000017851891,0.00018166049,0.000019675244,0.00011382864,0.000006187676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007557361,0.000007625611,0.00019860301,0.000026014846,0.0000013137362,7.9839e-8,0.0012595089,0.945728,0.04965124,0.000891165,0.000022792921,0.0022060864],"study_design_scores_gemma":[0.000096811076,0.000055639015,0.0002781057,0.000007651759,0.000003781444,6.2989136e-7,0.00029697394,0.9938561,0.0049632327,0.00006388982,0.00025625963,0.00012094162],"about_ca_topic_score_codex":0.0000011197016,"about_ca_topic_score_gemma":0.0000016197142,"teacher_disagreement_score":0.58349603,"about_ca_system_score_codex":0.000017331673,"about_ca_system_score_gemma":0.000008563246,"threshold_uncertainty_score":0.38652188},"labels":[],"label_agreement":null},{"id":"W3010099746","doi":"10.3390/app10051762","title":"A Combined Visualization Method for Multivariate Data Analysis. Application to Knee Kinematic and Clinical Parameters Relationships","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université TÉLUQ","funders":"Canada Research Chairs","keywords":"Kinematics; Multivariate statistics; Visualization; Canonical correlation; Multivariate analysis; Computer science; Representation (politics); Population; Set (abstract data type); Artificial intelligence; Correlation; Data set; Data mining; Mathematics; Medicine; Machine learning; Geometry","score_opus":0.17304118927211884,"score_gpt":0.4318975420516605,"score_spread":0.25885635277954167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010099746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10835521,0.0000141895,0.88742477,0.0021035434,0.000030374562,0.0017705183,0.00001968468,0.0000624774,0.00021923082],"genre_scores_gemma":[0.65740764,0.0000020357131,0.34149423,0.00073678466,0.000026175721,0.000108938606,0.00020566853,0.0000051314846,0.000013381393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987559,0.0000616702,0.000320645,0.00054309616,0.00018632584,0.00013237979],"domain_scores_gemma":[0.9988638,0.0005485913,0.000109780245,0.00025935165,0.0000340306,0.00018444762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012304604,0.00009265419,0.0002985256,0.000107599015,0.00018607278,0.000044681274,0.00013011257,0.000054593493,0.000004969722],"category_scores_gemma":[0.00049108925,0.00007502545,0.000043991673,0.0009275122,0.000064472864,0.00008506697,0.000074525204,0.000055177577,0.000014080049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024307428,0.001237371,0.097602956,0.0004195759,0.0017600368,0.0000058141004,0.0060722963,0.0026011765,0.10767651,0.418893,0.0012532754,0.36004722],"study_design_scores_gemma":[0.0057144547,0.0033196048,0.019126566,0.000033113552,0.0033666657,0.0000019344873,0.0012066992,0.959663,0.002466476,0.0040972508,0.00068863266,0.00031561454],"about_ca_topic_score_codex":0.0000110114315,"about_ca_topic_score_gemma":0.000023139875,"teacher_disagreement_score":0.9570618,"about_ca_system_score_codex":0.000008167658,"about_ca_system_score_gemma":0.000037405454,"threshold_uncertainty_score":0.3059449},"labels":[],"label_agreement":null},{"id":"W3010258250","doi":"10.3390/app10051621","title":"Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Prince Edward Island","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Evapotranspiration; Environmental science; Irrigation; Mean squared error; Sustainability; Agriculture; Regression; Computer science; Hydrology (agriculture); Statistics; Geography; Mathematics; Ecology; Engineering","score_opus":0.02785318665696501,"score_gpt":0.23116659002692552,"score_spread":0.2033134033699605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010258250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46936655,0.0000018572591,0.51863015,0.00042795806,0.000012570394,0.0003880649,0.000003529855,0.000017938764,0.011151402],"genre_scores_gemma":[0.9848627,0.0000010025221,0.014983577,0.00009949991,0.000008003725,0.000019448877,0.000012329822,0.0000028354955,0.000010599582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992616,0.000008081133,0.00015424093,0.00021211013,0.00025241644,0.00011153363],"domain_scores_gemma":[0.9998623,0.00001892266,0.0000402116,0.00004393863,0.000004014947,0.00003057734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021962784,0.000056307046,0.00006136648,0.000020266862,0.00011962018,0.000025503901,0.00013852317,0.000018564004,0.000029999548],"category_scores_gemma":[0.0000012467137,0.000035640656,0.000014566384,0.00019518702,0.0001685097,0.000081629136,0.000033109933,0.000024424786,0.000024881347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008086116,0.000024773004,0.00028326618,0.000014325482,0.0000041894973,3.619467e-7,0.0011845395,0.9167512,0.021483723,0.010169568,0.000017911058,0.049985252],"study_design_scores_gemma":[0.00017281757,0.00049632444,0.00051568035,0.000018890425,0.00003553382,0.0000013032295,0.0005811232,0.8744303,0.09831976,0.02364013,0.0015491365,0.0002390066],"about_ca_topic_score_codex":0.000004446861,"about_ca_topic_score_gemma":0.000007697384,"teacher_disagreement_score":0.51549613,"about_ca_system_score_codex":0.000011482132,"about_ca_system_score_gemma":0.0000023179266,"threshold_uncertainty_score":0.14533837},"labels":[],"label_agreement":null},{"id":"W3010660902","doi":"10.3390/app10061903","title":"Multimodal Ensemble-Based Segmentation of White Matter Lesions and Analysis of Their Differential Characteristics across Major Brain Regions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Segmentation; Computer science; Hyperintensity; Fluid-attenuated inversion recovery; Voxel; White matter; False positive paradox; Magnetic resonance imaging; Medicine; Radiology","score_opus":0.020961760219583715,"score_gpt":0.3039733390713485,"score_spread":0.28301157885176476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010660902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9443173,0.000008661028,0.04767862,0.007650668,0.000019476465,0.000121345256,0.000029132927,0.000010475111,0.00016431525],"genre_scores_gemma":[0.994311,0.0000041238395,0.004010381,0.0015659503,0.000027515078,0.0000052386567,0.000053488217,0.000004912465,0.00001739784],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918896,0.000023599223,0.00023491059,0.00020512727,0.00021603318,0.00013136808],"domain_scores_gemma":[0.99949175,0.00013844931,0.00015192585,0.00008939458,0.000028497441,0.000099951925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020253893,0.00007886186,0.00029747107,0.000095839816,0.0001578508,0.000016725831,0.00008799516,0.00003013384,0.000072289564],"category_scores_gemma":[0.00005567847,0.000056544985,0.00006426795,0.00050591794,0.00045647522,0.000025323307,0.000048922037,0.000099507095,0.0000010246332],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009903624,0.00008946617,0.4757989,0.0001096223,0.00018526235,0.0000019800946,0.005715561,0.00025666243,0.5094648,0.00034119526,0.00022264129,0.0077148774],"study_design_scores_gemma":[0.00093295064,0.00010420559,0.7868467,0.00002900175,0.00040942928,0.0000013609673,0.0011468916,0.1995624,0.01078795,0.000033943925,0.000050849478,0.000094300834],"about_ca_topic_score_codex":0.000020505902,"about_ca_topic_score_gemma":0.000003107094,"teacher_disagreement_score":0.49867684,"about_ca_system_score_codex":0.000005351572,"about_ca_system_score_gemma":0.0000330686,"threshold_uncertainty_score":0.23058376},"labels":[],"label_agreement":null},{"id":"W3011950387","doi":"10.3390/app10061914","title":"Theory and Design of Blink Jamming","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Jamming; Radar jamming and deception; Monopulse radar; Computer science; Deception; Missile; Radar; Simulation; Engineering; Human–computer interaction; Aerospace engineering; Psychology; Telecommunications; Radar imaging; Pulse-Doppler radar","score_opus":0.02987627170815354,"score_gpt":0.21854318867339698,"score_spread":0.18866691696524343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011950387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3138288,0.0018058671,0.6563653,0.00009771355,0.00007873738,0.00016122151,7.2390645e-7,0.0001450771,0.027516598],"genre_scores_gemma":[0.99580425,0.000007366309,0.00410015,0.000047300844,0.0000312509,0.0000019723059,4.3817657e-8,0.0000036240444,0.0000040636],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996456,0.000009758774,0.000088534645,0.00008484848,0.00009168192,0.00007960361],"domain_scores_gemma":[0.99983346,0.00008688046,0.000016087215,0.000025360816,0.0000045836537,0.000033642562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041486215,0.000043069034,0.00007729164,0.000019936631,0.000058926777,0.000027719745,0.0000863395,0.000016369908,0.000006638791],"category_scores_gemma":[0.00001290335,0.000034039775,0.000006345997,0.00016233868,0.000098890094,0.00005739008,0.000011014803,0.000032400243,0.0000031604823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001972644,0.0000048484458,0.00019896649,0.00030075075,0.000019104478,0.0000023523721,0.008587813,0.09570545,0.7490162,0.0722141,0.00041444437,0.07351623],"study_design_scores_gemma":[0.00071281445,0.00029936509,0.00045688977,0.00014969122,0.000035177174,0.000009365904,0.012522067,0.56657535,0.38546664,0.030478714,0.002505366,0.00078859087],"about_ca_topic_score_codex":7.7960266e-7,"about_ca_topic_score_gemma":8.253448e-8,"teacher_disagreement_score":0.6819754,"about_ca_system_score_codex":0.0000017739078,"about_ca_system_score_gemma":0.0000098838445,"threshold_uncertainty_score":0.13881017},"labels":[],"label_agreement":null},{"id":"W3012290642","doi":"10.3390/app10051865","title":"Image Magnification Based on Bicubic Approximation with Edge as Constraint","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Bicubic interpolation; Mathematics; Polynomial; Magnification; Piecewise; Surface (topology); Image (mathematics); Image gradient; Enhanced Data Rates for GSM Evolution; Algorithm; Artificial intelligence; Computer vision; Edge detection; Computer science; Image processing; Linear interpolation; Geometry; Mathematical analysis","score_opus":0.023020520260847024,"score_gpt":0.26590670685000095,"score_spread":0.24288618658915392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012290642","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015994736,0.000008665378,0.96086305,0.0047249505,0.00002033956,0.0003074595,8.430954e-7,0.0006790561,0.031796183],"genre_scores_gemma":[0.48686895,8.145815e-7,0.5113795,0.0016826887,0.000015050103,0.000044095093,0.000001317475,0.0000040949258,0.000003491603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984596,0.000017958959,0.0001649417,0.00063146633,0.0004904317,0.00023564596],"domain_scores_gemma":[0.9993006,0.00008405849,0.00014779987,0.0002944721,0.00007263434,0.00010040726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032723197,0.00014697252,0.0001180271,0.00010258955,0.00028427088,0.00034386056,0.0009914958,0.000032509328,0.00001283856],"category_scores_gemma":[0.00006866722,0.00011260556,0.000018609879,0.0010805202,0.00057102606,0.00063452474,0.00007512841,0.00012107336,0.0001043904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006246949,0.00015981683,0.000078114674,0.00010905155,0.0000044535827,0.000013217775,0.0012098389,0.0007541123,0.31746835,0.5724738,0.00074971246,0.10691704],"study_design_scores_gemma":[0.00031472408,0.00056553487,0.00012295227,0.000033198987,0.000004584407,0.000006451145,0.00015300565,0.77094203,0.19422476,0.03291671,0.0003783002,0.00033777117],"about_ca_topic_score_codex":0.0000018364449,"about_ca_topic_score_gemma":2.7387648e-7,"teacher_disagreement_score":0.7701879,"about_ca_system_score_codex":0.000027279533,"about_ca_system_score_gemma":0.00020574068,"threshold_uncertainty_score":0.45919213},"labels":[],"label_agreement":null},{"id":"W3012359043","doi":"10.3390/app10062039","title":"GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Korea Institute of Geoscience and Mineral Resources","keywords":"Gully erosion; Hydrology (agriculture); Erosion; Mean squared error; Arid; Watershed; Environmental science; Soil science; Statistics; Geology; Remote sensing; Mathematics; Computer science; Geomorphology; Machine learning","score_opus":0.22016930403052953,"score_gpt":0.3022924467199584,"score_spread":0.08212314268942889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012359043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298865,0.000033976776,0.002936041,0.0021472871,0.000042304982,0.00018325522,0.000048074962,0.00006660132,0.001553837],"genre_scores_gemma":[0.9927612,0.0000013133072,0.0061818203,0.00078880286,0.000042427146,0.000004338842,0.00021528368,5.928311e-7,0.0000042109796],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830145,0.0000310064,0.00034757223,0.0005346116,0.0005773243,0.00020805838],"domain_scores_gemma":[0.9993735,0.00024088525,0.00013533233,0.000085048225,0.000044988716,0.000120258796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048538976,0.000114992035,0.00022519237,0.000012405812,0.00027758745,0.000045876484,0.00077129446,0.00005324856,0.0001401294],"category_scores_gemma":[0.000019698275,0.00004944091,0.00004359164,0.0006121215,0.0002898172,0.00014767399,0.00010321546,0.00007152791,0.000010042356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014035638,0.00046313446,0.11029335,0.000043138043,0.00001024896,0.000001040915,0.0019271284,0.055396136,0.7852191,0.002388175,0.0031343007,0.040983938],"study_design_scores_gemma":[0.0005564214,0.00054361287,0.084865674,0.00003765273,0.000018056655,3.8230687e-7,0.0056575486,0.88589597,0.018668087,0.002158723,0.0012017317,0.00039612746],"about_ca_topic_score_codex":0.00006906478,"about_ca_topic_score_gemma":0.00012464917,"teacher_disagreement_score":0.8304998,"about_ca_system_score_codex":0.000006440512,"about_ca_system_score_gemma":0.0000389529,"threshold_uncertainty_score":0.21350062},"labels":[],"label_agreement":null},{"id":"W3012388037","doi":"10.3390/app10061988","title":"Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Radiomics; Magnetic resonance imaging; Positron emission tomography; Radiology; Medical physics; Oncology","score_opus":0.04384226305616106,"score_gpt":0.2606833116414168,"score_spread":0.2168410485852557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012388037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98230416,0.002013304,0.00063084625,0.0075245947,0.000032040705,0.000377256,0.0000023609782,0.00003294681,0.007082496],"genre_scores_gemma":[0.9967328,0.000014343755,0.0012264457,0.0013211756,0.00021870532,0.00001173463,0.0000072806415,0.000007866588,0.00045969852],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899995,0.000013518173,0.0001751382,0.00035189107,0.0002249848,0.0002345398],"domain_scores_gemma":[0.99949485,0.0001513588,0.000053190706,0.00004371225,0.000015623593,0.00024126525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661621,0.00012138985,0.0002934323,0.00009439617,0.0001287826,0.000017631171,0.000097764336,0.000039618044,0.00005923193],"category_scores_gemma":[0.00008977163,0.00008865406,0.000039950006,0.00044653128,0.00030474926,0.000035636935,0.000040227354,0.0001598346,0.000002805378],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004827793,0.00022103215,0.61244833,0.001037982,0.000027094673,0.00018386789,0.033893175,0.00022328937,0.27640906,0.022728786,0.007070085,0.04092946],"study_design_scores_gemma":[0.079824105,0.022863002,0.25273862,0.00017980183,0.00078740995,0.00035023218,0.047319263,0.4531738,0.024128413,0.0038944639,0.11239339,0.0023475082],"about_ca_topic_score_codex":0.00028432818,"about_ca_topic_score_gemma":0.00010552637,"teacher_disagreement_score":0.4529505,"about_ca_system_score_codex":0.000017470698,"about_ca_system_score_gemma":0.00014928386,"threshold_uncertainty_score":0.36152074},"labels":[],"label_agreement":null},{"id":"W3012400942","doi":"10.3390/app10061922","title":"Hammer Throw: A Pilot Study for a Novel Digital-Route for Diagnosing and Improving Its Throw Quality","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Hammer; Engineering; Simulation; Inertial measurement unit; Physical medicine and rehabilitation; Computer science; Aeronautics; Mechanical engineering; Medicine; Aerospace engineering","score_opus":0.09798810594859396,"score_gpt":0.28646310544505105,"score_spread":0.18847499949645707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012400942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.848868,0.000088544824,0.14900625,0.00024062018,0.00013963519,0.0011974473,0.00007770392,0.00014130549,0.00024047558],"genre_scores_gemma":[0.9961707,0.0000046964237,0.0033790104,0.00017797374,0.00008061474,0.00016004701,0.000005147805,0.000016390608,0.0000054196616],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990368,0.0000013960915,0.00020263753,0.00033865383,0.00015611686,0.00026441098],"domain_scores_gemma":[0.9996316,0.00014056005,0.00004787846,0.00007852742,0.000024363091,0.00007706728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034141022,0.00013306795,0.00017723226,0.000032248452,0.00021396678,0.0002744759,0.00017173246,0.000023584931,0.0000014575556],"category_scores_gemma":[0.000045719018,0.00011232138,0.000026123455,0.00022179284,0.000054738655,0.0001942344,0.00005651989,0.000039739483,7.342908e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003167139,0.0011485656,0.007972759,0.0012061306,0.00023601009,0.0000036637382,0.00834166,0.0048371,0.7363901,0.095924184,0.00054442405,0.14307866],"study_design_scores_gemma":[0.0032152098,0.0025912186,0.004554796,0.000030450417,0.00008443102,0.0000024767494,0.008915522,0.9627746,0.011110326,0.0033004407,0.0022748446,0.0011457321],"about_ca_topic_score_codex":0.000010129535,"about_ca_topic_score_gemma":0.000049566563,"teacher_disagreement_score":0.9579375,"about_ca_system_score_codex":0.000016689908,"about_ca_system_score_gemma":0.000022530427,"threshold_uncertainty_score":0.4580333},"labels":[],"label_agreement":null},{"id":"W3012533456","doi":"10.3390/app10051894","title":"A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; L'Oreal USA","keywords":"Computer science; CAD; Modality (human–computer interaction); Computer-aided diagnosis; Machine learning; Artificial intelligence; Context (archaeology); Engineering","score_opus":0.16064623345323262,"score_gpt":0.35429351915913615,"score_spread":0.19364728570590353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012533456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803585,0.00006915513,0.0048585325,0.013758627,0.00005552959,0.0006971363,0.00009581973,0.000040941883,0.000065800145],"genre_scores_gemma":[0.99669725,0.00012053149,0.0010045485,0.0020818922,0.00001214308,0.000063017134,0.000013328291,0.0000067482747,5.2832564e-7],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973326,0.0012786608,0.00019670895,0.000623462,0.0004258678,0.00014272786],"domain_scores_gemma":[0.990938,0.008412236,0.00026817154,0.00029936063,0.000021712069,0.000060535745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016031564,0.00014056616,0.0002042093,0.00004421492,0.0005616401,0.00006816746,0.0004532598,0.000029583998,0.0000061942656],"category_scores_gemma":[0.0023772013,0.00007347446,0.000024584917,0.0005831229,0.0014066289,0.00013224261,0.0001499947,0.00013765898,3.6992935e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009903651,0.0009816715,0.593646,0.000060072314,0.00005275782,0.0000023433965,0.0053424677,0.027960926,0.01342303,0.010514522,0.00031426686,0.33779833],"study_design_scores_gemma":[0.002360491,0.0013130762,0.39752936,0.000066176646,0.000059306352,3.779687e-7,0.0005680096,0.5520271,0.04546178,0.00023005842,0.00018496743,0.00019927992],"about_ca_topic_score_codex":0.00016021311,"about_ca_topic_score_gemma":0.0001508858,"teacher_disagreement_score":0.5240662,"about_ca_system_score_codex":0.000006042665,"about_ca_system_score_gemma":0.000034610708,"threshold_uncertainty_score":0.51827824},"labels":[],"label_agreement":null},{"id":"W3013118902","doi":"10.3390/app10072256","title":"The Switching of Trailing Limb Anticipatory Locomotor Adjustments is Uninfluenced by what the Leading Limb Does, but General Time Constraints Remain","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physical medicine and rehabilitation; Swing; Sagittal plane; Upper limb; Lower limb; Kinematics; Medicine; Psychology; Anatomy; Physics; Surgery","score_opus":0.015696562495114138,"score_gpt":0.23081123957127758,"score_spread":0.21511467707616344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013118902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99441606,0.0008538447,0.00051406125,0.0011677712,0.000123958,0.00027956665,0.0000046709097,0.00010182415,0.0025382573],"genre_scores_gemma":[0.99840873,0.00044458453,0.00022263428,0.00080962165,0.00005414798,0.000024962008,8.717617e-7,0.000010754931,0.000023674353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987855,0.00002907892,0.00026715195,0.0002309828,0.00032977443,0.0003575177],"domain_scores_gemma":[0.99945194,0.00023694661,0.00008535117,0.00013535844,0.000022929145,0.00006746468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042270668,0.00015574387,0.00018237381,0.00004379498,0.00062325475,0.00016521558,0.00043834856,0.000038481172,0.000020853582],"category_scores_gemma":[0.000029283845,0.00008719031,0.000063209045,0.00047480682,0.00044936631,0.00022862975,0.00004505165,0.00016569969,0.000006591285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001184737,0.000011010425,0.00031385414,0.000023796294,0.00009338426,4.9042166e-7,0.003224756,0.00084503746,0.94155663,0.0013832367,0.0013182801,0.05121768],"study_design_scores_gemma":[0.00097018835,0.00032758721,0.0064582503,0.00015499553,0.00009754319,0.0000036272565,0.024771221,0.06170214,0.89228064,0.00092557684,0.011351333,0.0009569129],"about_ca_topic_score_codex":0.000005753144,"about_ca_topic_score_gemma":0.0000028890263,"teacher_disagreement_score":0.060857102,"about_ca_system_score_codex":0.000015334379,"about_ca_system_score_gemma":0.000028688928,"threshold_uncertainty_score":0.47936347},"labels":[],"label_agreement":null},{"id":"W3014510601","doi":"10.3390/app10072328","title":"The Importance of Incorporating Denitrification in the Assessment of Groundwater Vulnerability","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Groundwater; Denitrification; Environmental science; Nitrate; Vulnerability (computing); Aquifer; Water resource management; Vulnerability assessment; Groundwater pollution; Environmental engineering; Hydrology (agriculture); Ecology; Engineering; Computer science; Nitrogen; Chemistry","score_opus":0.03309859512284351,"score_gpt":0.261814922352915,"score_spread":0.22871632723007146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014510601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98327684,0.00004949834,0.000212405,0.0011843665,0.000023611794,0.00015253197,0.0000032512496,0.0000043034443,0.015093194],"genre_scores_gemma":[0.9990443,0.0000041620747,0.0007488125,0.00016593523,0.000022058372,0.0000037891555,0.000007473956,5.3575866e-7,0.0000029125965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990292,0.00006325486,0.00028295713,0.00017138806,0.0003256845,0.00012748301],"domain_scores_gemma":[0.9994108,0.0002530629,0.00015254968,0.00014024306,0.000020804599,0.000022506394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001582241,0.000057361627,0.00009285679,0.0000114548475,0.00019972802,0.0000516102,0.00053354586,0.0000199058,0.000049785784],"category_scores_gemma":[0.00003475178,0.000027491595,0.000021552345,0.00041884987,0.00045624652,0.000091865564,0.000012857464,0.000094197254,0.0000025616507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005143467,0.000010058389,0.9912573,0.00001430692,0.0000015230058,2.3745031e-7,0.0005172465,0.00036884783,0.0034565423,0.0014914168,0.000025461033,0.0028518776],"study_design_scores_gemma":[0.00009663869,0.00007909686,0.975157,0.0000034229483,0.0000035354572,0.0000013828034,0.0034323637,0.0073416163,0.007301068,0.0063955863,0.00012208233,0.00006620995],"about_ca_topic_score_codex":0.00026792524,"about_ca_topic_score_gemma":0.000625007,"teacher_disagreement_score":0.016100341,"about_ca_system_score_codex":0.0000018850567,"about_ca_system_score_gemma":0.00006428338,"threshold_uncertainty_score":0.16810593},"labels":[],"label_agreement":null},{"id":"W3014874297","doi":"10.3390/app10072339","title":"Oxidative Phosphorylation—an Update on a New, Essential Target Space for Drug Discovery in Mycobacterium tuberculosis","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Bedaquiline; Mycobacterium tuberculosis; Drug discovery; Tuberculosis; Oxidative phosphorylation; Drug; Pharmacology; Drug development; Computational biology; Medicine; Biology; Bioinformatics; Biochemistry","score_opus":0.028118788497575094,"score_gpt":0.31774120455040344,"score_spread":0.28962241605282835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014874297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223714,0.000069755086,0.0024471027,0.07058519,0.00010819723,0.0008244785,0.000038895643,0.000049098635,0.0035058688],"genre_scores_gemma":[0.9869763,0.000052072683,0.0055838428,0.0066862796,0.00036320943,0.00008672274,0.000096541706,0.000012836218,0.00014217409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99817336,0.00006893668,0.00026995965,0.00063210365,0.00034906343,0.00050657854],"domain_scores_gemma":[0.99908036,0.00028376965,0.000073509356,0.00017004745,0.000033760083,0.00035855744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667032,0.00016495476,0.00035696666,0.00012443378,0.0001511084,0.00007352263,0.00023293645,0.000066696484,0.00015482052],"category_scores_gemma":[0.00039200703,0.00012597906,0.00007488788,0.0005710012,0.000276123,0.0003194848,0.000066857094,0.0002048919,0.00010794876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006829837,0.00080251956,0.04674381,0.0002151711,0.00020021049,0.000030153971,0.0073250253,0.0035874536,0.67030436,0.09162281,0.16683374,0.005504918],"study_design_scores_gemma":[0.009496505,0.0042810277,0.10384397,0.00015263632,0.0001484272,0.000011809971,0.0070818434,0.038929913,0.7327579,0.02245381,0.07941449,0.0014276799],"about_ca_topic_score_codex":0.00023008378,"about_ca_topic_score_gemma":0.0000965547,"teacher_disagreement_score":0.08741926,"about_ca_system_score_codex":0.00005173747,"about_ca_system_score_gemma":0.00026154766,"threshold_uncertainty_score":0.5137277},"labels":[],"label_agreement":null},{"id":"W3015032453","doi":"10.3390/app10072292","title":"A Detailed Investigation of Gear Body-Induced Tooth Deflections and Development of an Improved Analytical Solution","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gear tooth; Stiffness; Structural engineering; Deflection (physics); Finite element method; Computer science; Engineering; Physics; Classical mechanics","score_opus":0.031762672221347064,"score_gpt":0.2382837211710523,"score_spread":0.20652104894970522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015032453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874015,0.000006291309,0.0107105225,0.000031599506,0.00001074582,0.000050108065,5.920514e-7,0.0000280688,0.00042194664],"genre_scores_gemma":[0.9858049,0.0000012132507,0.014167744,0.000009348045,0.0000073133333,0.0000033528138,0.000002093437,0.0000029715331,0.0000010718818],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952275,0.000005378863,0.0001573377,0.000117669544,0.00011139287,0.00008548474],"domain_scores_gemma":[0.9998327,0.000011825556,0.000030025449,0.00004529369,0.000019172257,0.00006102141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015468727,0.000049856328,0.000101290985,0.00006569222,0.0000735518,0.000016288008,0.00006956526,0.000027252558,0.0000042885345],"category_scores_gemma":[0.000010181608,0.000045409102,0.000013640418,0.00037560263,0.0000824428,0.00005583512,0.000018859737,0.00004047942,0.0000010997179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026018708,0.000006553033,0.0020003212,0.000024924904,0.00002400788,5.0077613e-8,0.0009888503,0.0032533992,0.99074656,0.00068155833,0.0000018751654,0.0022693237],"study_design_scores_gemma":[0.00008686428,0.00004054238,0.018544532,0.0000029215846,0.000020501182,2.1704103e-7,0.00023455599,0.88328695,0.09756946,0.00014378727,0.0000045511338,0.00006513102],"about_ca_topic_score_codex":0.000013446501,"about_ca_topic_score_gemma":0.00008377254,"teacher_disagreement_score":0.8931771,"about_ca_system_score_codex":0.000010130775,"about_ca_system_score_gemma":0.000045252495,"threshold_uncertainty_score":0.18517295},"labels":[],"label_agreement":null},{"id":"W3015126018","doi":"10.3390/app10072388","title":"Secreted Protein Acidic and Rich in Cysteine: Metabolic and Homeostatic Properties beyond the Extracellular Matrix Structure","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Extracellular matrix; Cell biology; Cysteine; Chemistry; Homeostasis; Signal transduction; Extracellular; Cell adhesion; Biochemistry; Biology; Cell; Enzyme","score_opus":0.020399939281906622,"score_gpt":0.24414551867228249,"score_spread":0.22374557939037587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015126018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494119,0.043631703,0.000016045668,0.005376551,0.000014138354,0.0011230467,0.0000031322672,0.000027236454,0.000396235],"genre_scores_gemma":[0.99852127,0.00013190343,0.0006251335,0.00048350595,0.000043642718,0.00007109319,0.0000011834393,0.0000073286155,0.00011495792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989294,0.00003090659,0.00019263754,0.0003211967,0.00031095863,0.00021490143],"domain_scores_gemma":[0.9997199,0.000027106233,0.00005729414,0.000095581054,0.000017615881,0.000082474166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470386,0.00014280569,0.0002801974,0.000054906148,0.0002445025,0.00007151651,0.00009912074,0.000042869262,0.000011513936],"category_scores_gemma":[0.000052216605,0.00007536165,0.000014649612,0.0005377181,0.0009763528,0.00008667081,0.00012240549,0.00017430515,0.000004622338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016502707,0.000021848384,0.005857617,0.00036054655,0.00004329338,0.000028771803,0.008698306,0.000008189722,0.9703526,0.009567792,0.00009114819,0.00480489],"study_design_scores_gemma":[0.011599514,0.0032040442,0.087670565,0.0005588964,0.00067386305,0.0004263839,0.12869494,0.0080507565,0.7252005,0.023863394,0.0080768475,0.0019803206],"about_ca_topic_score_codex":0.00005315947,"about_ca_topic_score_gemma":0.000028651399,"teacher_disagreement_score":0.2451521,"about_ca_system_score_codex":0.0000049253035,"about_ca_system_score_gemma":0.00004398604,"threshold_uncertainty_score":0.35974127},"labels":[],"label_agreement":null},{"id":"W3015869341","doi":"10.3390/app10072531","title":"Red Light Variation an Effective Alternative to Regulate Biomass and Lipid Profiles in Phaeodactylum tricornutum","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Algal biology and biofuel production","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phaeodactylum tricornutum; Polyunsaturated fatty acid; Photoinhibition; Photosynthesis; Diatom; Lipid metabolism; Food science; Biomass (ecology); Chemistry; Photobioreactor; Fucoxanthin; Autotroph; Biology; Botany; Fatty acid; Biochemistry; Algae; Photosystem II; Ecology; Bacteria","score_opus":0.01693791886405607,"score_gpt":0.24780239618903185,"score_spread":0.23086447732497578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015869341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889434,0.00002639779,0.00031618116,0.005237322,0.00021168335,0.00048095538,0.0000022583895,0.00006377305,0.00471804],"genre_scores_gemma":[0.99844074,0.000003856704,0.0007684199,0.00032719198,0.0003521788,0.00007025407,0.000008744697,0.0000044547965,0.000024139952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998899,0.00009975341,0.00014745552,0.0005407674,0.00012596392,0.00018706564],"domain_scores_gemma":[0.99969476,0.00004522275,0.00007382413,0.00008008373,0.000024224451,0.00008188774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043350583,0.00010966878,0.00014072374,0.00010519122,0.00016175408,0.000038159375,0.00016167281,0.00007505625,0.000018134075],"category_scores_gemma":[0.000077125944,0.00008345035,0.000012606053,0.00073280063,0.00014794478,0.00020726008,0.000058586113,0.000078180085,0.000026917955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003114521,0.0000481327,0.0020069375,0.0000144911555,0.0000131773495,0.000002113807,0.0044260956,0.00026336528,0.96465164,0.01026669,0.00008605855,0.017909864],"study_design_scores_gemma":[0.0010068197,0.0013129434,0.15345289,0.000016116881,0.000017294102,0.000004503103,0.0006963369,0.0038879134,0.81279486,0.021155503,0.005210928,0.00044388373],"about_ca_topic_score_codex":0.00019067217,"about_ca_topic_score_gemma":0.00007275874,"teacher_disagreement_score":0.15185675,"about_ca_system_score_codex":0.000025235631,"about_ca_system_score_gemma":0.000016026052,"threshold_uncertainty_score":0.34030068},"labels":[],"label_agreement":null},{"id":"W3016014060","doi":"10.3390/app10072468","title":"Automatic Staff Reconstruction within SIMSSA Project","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universidad de Málaga; McGill University","keywords":"Musical; Computer science; Identification (biology); Scheme (mathematics); Task (project management); Object (grammar); Process (computing); Artificial intelligence; Engineering; Visual arts; Art; Mathematics; Programming language","score_opus":0.044776164315782484,"score_gpt":0.2610111781570528,"score_spread":0.21623501384127033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016014060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47643194,0.00007252112,0.43317798,0.0073782555,0.00061394786,0.0004438081,9.2822944e-7,0.0009831781,0.080897465],"genre_scores_gemma":[0.8628637,0.0000012237869,0.13552788,0.0014970831,0.00007684305,0.000012360273,1.9173952e-7,0.0000028328195,0.000017894747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875736,0.000020773565,0.00019819457,0.00045239183,0.00034992208,0.0002213609],"domain_scores_gemma":[0.9995893,0.0000403778,0.00013555652,0.0001424094,0.000020412863,0.00007190502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037805698,0.0000995721,0.00012154264,0.000060769733,0.0003766966,0.00039271454,0.0007977224,0.000030100828,0.000026891723],"category_scores_gemma":[0.00003525737,0.00007732421,0.000022722412,0.001126265,0.00024427107,0.00056230056,0.00014134074,0.00009155927,0.00006526336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002668583,0.00002964383,0.00016840054,0.00006979695,0.000008382671,0.0000045552265,0.011433962,0.00045525644,0.011822178,0.12632065,0.0033674217,0.8463171],"study_design_scores_gemma":[0.00033372347,0.00020428964,0.000121591765,0.00005644717,0.000007635271,0.000038184367,0.002461484,0.9453351,0.02975911,0.018748112,0.0024619093,0.0004724209],"about_ca_topic_score_codex":0.0000055027454,"about_ca_topic_score_gemma":0.0000016877993,"teacher_disagreement_score":0.94487983,"about_ca_system_score_codex":0.000012325013,"about_ca_system_score_gemma":0.00026656457,"threshold_uncertainty_score":0.37869552},"labels":[],"label_agreement":null},{"id":"W3016555591","doi":"10.3390/app10072613","title":"Modeling the Measurements of the Determinants of ICT Fluency and Evolution of Digital Divide Among Students in Developing Countries—East Africa Case Study","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Shenzhen Research Foundation","keywords":"Digital divide; Information and Communications Technology; Fluency; Developing country; Context (archaeology); Index (typography); Comprehension; Economic growth; Political science; Mathematics education; Computer science; Geography; Psychology; Economics; World Wide Web","score_opus":0.2117248136804192,"score_gpt":0.37595850598719277,"score_spread":0.16423369230677357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016555591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985985,0.000052205163,0.00064982794,0.00015768631,0.00004471061,0.00040698226,0.000005672573,0.0000083604955,0.000076025906],"genre_scores_gemma":[0.9998691,0.0000015686443,0.0000939894,0.000016176728,0.0000031344277,0.0000110326755,3.063479e-8,0.0000024967237,0.00000245372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720407,0.00007886833,0.0006814308,0.00032192934,0.0015571048,0.00015659121],"domain_scores_gemma":[0.999087,0.00013997265,0.00033649724,0.00024974876,0.00015580223,0.000031025324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024555158,0.00009570409,0.0002371186,0.00014333952,0.00024083894,0.00007718996,0.0012014096,0.0000428264,0.0000024194333],"category_scores_gemma":[0.00046018956,0.00005102348,0.000031400305,0.0014228729,0.0007530569,0.00026530225,0.000488303,0.00009010208,0.0000010595647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008516699,0.000056218818,0.9923997,0.0000030635892,0.0000037534223,0.0000029549992,0.006082083,0.00055478275,0.00014868044,0.0001325176,0.0000023812122,0.00060535193],"study_design_scores_gemma":[0.00048350415,0.000091998685,0.9367598,0.00003362933,0.00001995809,0.000010012643,0.054884028,0.0054952153,0.00073713704,0.0013843764,0.0000023406437,0.00009795772],"about_ca_topic_score_codex":0.000108232045,"about_ca_topic_score_gemma":0.00043985964,"teacher_disagreement_score":0.05563985,"about_ca_system_score_codex":0.000023172395,"about_ca_system_score_gemma":0.00012065957,"threshold_uncertainty_score":0.27746695},"labels":[],"label_agreement":null},{"id":"W3016790676","doi":"10.3390/app10082709","title":"Analytical-Numerical Model for Temperature Prediction of a Serpentine Belt Drive System","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pulley; Thermal; Belt drive; Mechanics; Computer science; Mechanical engineering; Materials science; Structural engineering; Engineering; Thermodynamics; Physics","score_opus":0.023438156059386282,"score_gpt":0.21530960723818732,"score_spread":0.19187145117880103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016790676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15275025,0.00017624517,0.8345211,0.00048615172,0.00023807888,0.0005856601,0.00012246596,0.0005442164,0.0105758095],"genre_scores_gemma":[0.99790347,0.00000277321,0.0018851255,0.000041856616,0.000085555745,0.00003469084,0.0000069031767,0.000007299288,0.000032343312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992188,0.0000053223775,0.0002406424,0.00019392652,0.00020483443,0.00013645641],"domain_scores_gemma":[0.99974173,0.000020682663,0.00003965645,0.000078015124,0.000037430247,0.00008247987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015224259,0.00008485487,0.00020610761,0.000056986046,0.00008949387,0.000025975802,0.00013038746,0.000055243137,0.000007550843],"category_scores_gemma":[0.000008643511,0.000068452486,0.00007519155,0.000647799,0.00005380853,0.00006662056,0.000013385028,0.00006060794,0.0000051875663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010510529,0.000014962429,0.00031946256,0.00028924376,0.00009357311,2.8916858e-7,0.0010333435,0.92739403,0.031258177,0.035456523,0.0036562956,0.00047359272],"study_design_scores_gemma":[0.00012294354,0.000022040233,0.00011152677,0.000008963759,0.0000366431,6.6125125e-7,0.0007847947,0.99740005,0.0012491413,0.000021573747,0.00018154347,0.000060134764],"about_ca_topic_score_codex":0.000004512179,"about_ca_topic_score_gemma":0.0000011993434,"teacher_disagreement_score":0.8451532,"about_ca_system_score_codex":0.00001833055,"about_ca_system_score_gemma":0.000016833836,"threshold_uncertainty_score":0.27914113},"labels":[],"label_agreement":null},{"id":"W3016880865","doi":"10.3390/app10072603","title":"Tunable Fano Resonances in an Ultra-Small Gap","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wuhan National Laboratory for Optoelectronics; National Natural Science Foundation of China; College of Family Physicians of Canada","keywords":"Materials science; Refractive index; Dielectric; Fano resonance; Optoelectronics; Figure of merit; Quadrupole; Resonance (particle physics); Dipole; Plasmon; Chemistry; Physics","score_opus":0.06887882806228515,"score_gpt":0.26376283252464744,"score_spread":0.1948840044623623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016880865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88992083,0.0002730293,0.00013319796,0.00029886016,0.000045774206,0.00011431592,0.0000035775859,0.00014000542,0.10907038],"genre_scores_gemma":[0.9966149,0.000069812144,0.0030886133,0.00014263196,0.0000101988735,0.000021192282,0.0000015930415,0.00000799871,0.00004307372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988882,0.000014053785,0.00014195582,0.00027221022,0.000273854,0.00040972387],"domain_scores_gemma":[0.99966246,0.00008369907,0.000010975122,0.00009201557,0.000008453749,0.00014241303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034154239,0.00010092739,0.00013620887,0.000059836548,0.00009484634,0.00009237496,0.00045338005,0.000047896374,0.000074346484],"category_scores_gemma":[0.000020505486,0.000088436995,0.00001592228,0.0006557607,0.00016188447,0.00016167197,0.000017520431,0.00017507999,0.00013680186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055344866,0.00007550171,0.03229374,0.00014017393,0.000017196808,0.000053716634,0.0050780415,0.53003174,0.39580807,0.020585356,0.0037701887,0.012090934],"study_design_scores_gemma":[0.0007948225,0.00024189564,0.007719776,0.00003216823,0.000005505413,0.000003279779,0.0047427835,0.6973646,0.2617057,0.0022636915,0.024323003,0.0008027173],"about_ca_topic_score_codex":0.000023845612,"about_ca_topic_score_gemma":0.00014339511,"teacher_disagreement_score":0.16733292,"about_ca_system_score_codex":0.000017951057,"about_ca_system_score_gemma":0.000048245678,"threshold_uncertainty_score":0.36063558},"labels":[],"label_agreement":null},{"id":"W3016992921","doi":"10.3390/app10082859","title":"Multi-Objective Optimal Reactive Power Planning under Load Demand and Wind Power Generation Uncertainties Using ε-Constraint Method","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Power System Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"AC power; Wind power; Probabilistic logic; Electric power system; Control theory (sociology); Mathematical optimization; Computer science; Transformer; Reliability engineering; Voltage; Engineering; Automotive engineering; Power (physics); Control (management); Mathematics; Electrical engineering","score_opus":0.041818703032822875,"score_gpt":0.2819223921312036,"score_spread":0.24010368909838076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016992921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3288239,0.0003356526,0.667682,0.000045879304,0.00012196132,0.00023016646,0.0000025658271,0.00010956926,0.0026483433],"genre_scores_gemma":[0.88005304,0.0000037457391,0.11976801,0.000104510706,0.000042058793,0.000006923317,0.0000016925007,0.000015661777,0.0000043824734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877334,0.00004562563,0.00021737785,0.00039404113,0.00028654205,0.00028309016],"domain_scores_gemma":[0.9996037,0.00009635178,0.000071763665,0.000077572746,0.000056492245,0.000094135525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047544573,0.0001881189,0.0002052053,0.0000939587,0.00024601858,0.00015646438,0.00011956573,0.00008855368,0.000014438729],"category_scores_gemma":[0.00004099253,0.00017594111,0.000024036273,0.00046800743,0.00016216112,0.00031102958,0.000036087036,0.00014607141,0.0000035533542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069294806,0.000004934906,0.00009836782,0.0000059461336,0.000032286804,0.0000017425182,0.0065170918,0.83348083,0.15901089,0.00068694336,0.000032547745,0.00012146682],"study_design_scores_gemma":[0.00032165798,0.0000633316,0.0003411467,0.000017268096,0.000020896867,0.000016898834,0.005656773,0.9657058,0.027507795,0.00004533201,0.000032642325,0.00027047037],"about_ca_topic_score_codex":0.000017261897,"about_ca_topic_score_gemma":0.0000030181377,"teacher_disagreement_score":0.5512291,"about_ca_system_score_codex":0.00013374745,"about_ca_system_score_gemma":0.00010343321,"threshold_uncertainty_score":0.71746707},"labels":[],"label_agreement":null},{"id":"W3017281403","doi":"10.3390/app10082767","title":"Encapsulation of Dual Emitting Giant Quantum Dots in Silica Nanoparticles for Optical Ratiometric Temperature Nanosensors","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Materials science; Surface modification; Quantum dot; Nanosensor; Nanoparticle; Nanotechnology; Fluorescence; Microemulsion; Nanocomposite; Chemical engineering; Optics","score_opus":0.03557324900647894,"score_gpt":0.2701211292797506,"score_spread":0.2345478802732717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017281403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978841,0.00008250791,0.000091483795,0.0010099475,0.00019050312,0.00054269907,0.000012947227,0.000055478697,0.0001303359],"genre_scores_gemma":[0.98197305,0.000005217329,0.017672235,0.00017731599,0.000090905334,0.00006315934,0.0000025628906,0.000010281564,0.000005264112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980436,0.000033355507,0.0005654465,0.00051467103,0.0004386506,0.00040425712],"domain_scores_gemma":[0.9992412,0.00024245535,0.00019776495,0.0001362835,0.00008370583,0.00009863784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009184007,0.00015450432,0.00032064697,0.0001523802,0.00018255571,0.00013000915,0.00034956305,0.000074431686,0.000041288164],"category_scores_gemma":[0.0009956254,0.0001185319,0.00003595887,0.0011774936,0.0004587644,0.00038655964,0.00010337326,0.00005719245,0.000024039053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008783875,0.00003483528,0.00011508889,0.000064500884,0.0000011570936,0.0000011422753,0.0007152357,0.0014555765,0.9921796,0.0049695447,0.00003200149,0.00034353137],"study_design_scores_gemma":[0.00037143516,0.00018263911,0.0007316799,0.000025159834,0.000005587274,0.0000016716383,0.000910899,0.0010033065,0.99591076,0.0006649471,0.00003011727,0.00016177626],"about_ca_topic_score_codex":0.000011105944,"about_ca_topic_score_gemma":0.0000033239091,"teacher_disagreement_score":0.017580751,"about_ca_system_score_codex":0.000024905696,"about_ca_system_score_gemma":0.00009760515,"threshold_uncertainty_score":0.48335904},"labels":[],"label_agreement":null},{"id":"W3017473937","doi":"10.3390/app10082872","title":"Optimising Hydrogel Release Profiles for Viro-Immunotherapy Using Oncolytic Adenovirus Expressing IL-12 and GM-CSF with Immature Dendritic Cells","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Australian Research Council","keywords":"Oncolytic virus; Immune system; Immunotherapy; Virotherapy; Cancer immunotherapy; Self-healing hydrogels; Dendritic cell; Oncolytic adenovirus; Cancer research; Biology; Immunology; Chemistry","score_opus":0.03155364784677581,"score_gpt":0.2930262164776249,"score_spread":0.26147256863084906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017473937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355644,0.0013844467,0.0037804581,0.00026467952,0.000029976867,0.0006612604,0.000022631906,0.000023625156,0.00027645368],"genre_scores_gemma":[0.9809625,0.00009351444,0.017453028,0.0011648927,0.00018453975,0.00005863288,0.000010000781,0.000038939543,0.0000339182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99830157,0.000038122078,0.00018970521,0.00066249556,0.00033965713,0.0004684793],"domain_scores_gemma":[0.99939954,0.000044070646,0.00009980343,0.00022283616,0.000064933694,0.00016881687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034421711,0.00022064858,0.0002046858,0.00006237179,0.0005287559,0.0002196217,0.0003736671,0.000121031095,0.000010752992],"category_scores_gemma":[0.000028678414,0.00018165153,0.00004822528,0.00024309593,0.00057405344,0.000018202849,0.0000936295,0.00013494707,0.0000024354383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017077663,0.000025098665,0.00004505458,0.000041589174,0.000028777953,0.0000031309767,0.00027102602,0.0021079646,0.99267364,0.00002371273,0.00007267923,0.0029995746],"study_design_scores_gemma":[0.0010155276,0.0014036571,0.000011890646,0.000034184635,0.000017025375,0.00001146942,0.00059236964,0.0069023,0.98897725,0.00006635404,0.0006872097,0.00028078372],"about_ca_topic_score_codex":0.000006767234,"about_ca_topic_score_gemma":0.000010120586,"teacher_disagreement_score":0.01367257,"about_ca_system_score_codex":0.000020073094,"about_ca_system_score_gemma":0.00028083287,"threshold_uncertainty_score":0.7407535},"labels":[],"label_agreement":null},{"id":"W3018152892","doi":"10.3390/app10082964","title":"Optimal Scheduling of Large-Scale Wind-Hydro-Thermal Systems with Fixed-Head Short-Term Model","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Power System Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Cuckoo search; Wind power; Computer science; Mathematical optimization; Thermal power station; Environmental science; Engineering; Particle swarm optimization; Mathematics; Algorithm; Waste management","score_opus":0.01632863792989521,"score_gpt":0.2272565440591769,"score_spread":0.2109279061292817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018152892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67871636,0.0002112979,0.31325427,0.00001964583,0.00007018711,0.0002896555,0.0000056443105,0.00020218559,0.007230755],"genre_scores_gemma":[0.98118496,0.0000051591237,0.018649925,0.000021412054,0.00006585166,0.000031560416,0.0000035124428,0.000025120871,0.00001251563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858415,0.000012422731,0.00029066554,0.0003009654,0.00041662547,0.0003951693],"domain_scores_gemma":[0.99962115,0.000026202715,0.000055839766,0.00014838386,0.00003165062,0.00011677694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026130606,0.00016609616,0.0002582148,0.00007738426,0.00011152246,0.00006668812,0.00034944905,0.00007175337,0.0000050424096],"category_scores_gemma":[0.0000046617924,0.00014142717,0.000028795506,0.00066681387,0.00009344877,0.00020240553,0.00003426009,0.00012319828,0.000009022013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000831809,0.000011039564,0.0010876062,0.00008172435,0.000014663072,9.993037e-7,0.00082668813,0.97342366,0.024087679,0.00035550827,0.000025015323,0.00007710738],"study_design_scores_gemma":[0.00020186401,0.000054407472,0.0001361404,0.000033564593,0.000014377781,0.000003317681,0.00031730128,0.9910131,0.008028367,0.0000016665795,0.0000149983525,0.00018088904],"about_ca_topic_score_codex":0.0000030645413,"about_ca_topic_score_gemma":0.0000039235783,"teacher_disagreement_score":0.30246857,"about_ca_system_score_codex":0.00003017932,"about_ca_system_score_gemma":0.000057577436,"threshold_uncertainty_score":0.5767233},"labels":[],"label_agreement":null},{"id":"W3019099183","doi":"10.3390/app10093008","title":"Fatigue Cycles and Performance Evaluation of Accelerating Aging Heat Treated Aluminum Semi Solid Materials Designed for Automotive Dynamic Components","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi; Université Laval","keywords":"Materials science; Chassis; Automotive industry; Casting; Aluminium; Fatigue limit; Ductility (Earth science); Specific strength; Alloy; Suspension (topology); Composite material; Metallurgy; Structural engineering; Engineering; Creep; Composite number","score_opus":0.06661309867615375,"score_gpt":0.28162945679149304,"score_spread":0.21501635811533928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019099183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759245,0.00015234284,0.0011979062,0.00004607137,0.000064048116,0.00060849905,0.000016468613,0.0001108466,0.00021134224],"genre_scores_gemma":[0.9956089,0.00001325718,0.0042131837,0.00003295399,0.00002572566,0.00007020116,0.000016751652,0.000017346158,0.0000016515008],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895465,0.00002879363,0.00027301436,0.00025018185,0.00026921937,0.00022415511],"domain_scores_gemma":[0.9996898,0.000055042914,0.00005896848,0.000068713125,0.00008295988,0.000044474324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051373406,0.00015829182,0.00023493072,0.00005573528,0.00020804758,0.00008640524,0.000171635,0.000045583114,0.000016907266],"category_scores_gemma":[0.000031625088,0.00013509078,0.000016225313,0.00016961902,0.00020643682,0.00021402373,0.000042388874,0.000042379004,0.0000013933935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001406138,0.0000027409733,0.0003359123,0.00009451912,0.000018199085,5.759144e-8,0.0022052736,0.02751058,0.9669064,0.000014784755,0.0000071125064,0.0028903063],"study_design_scores_gemma":[0.0002455685,0.000041119107,0.0026774872,0.000028708851,0.00002266339,9.0857986e-7,0.00034092992,0.42860937,0.5679017,0.00003193551,0.0000011005899,0.00009854103],"about_ca_topic_score_codex":0.00001118435,"about_ca_topic_score_gemma":0.000004126394,"teacher_disagreement_score":0.4010988,"about_ca_system_score_codex":0.00004467696,"about_ca_system_score_gemma":0.000028401832,"threshold_uncertainty_score":0.5508842},"labels":[],"label_agreement":null},{"id":"W3019171890","doi":"10.3390/app10082846","title":"Automated Data Acquisition in Construction with Remote Sensing Technologies","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Sensor fusion; Global Positioning System; Systems engineering; Data acquisition; Schedule; Data integration; Real-time computing; Data science; Engineering; Data mining; Telecommunications; Artificial intelligence","score_opus":0.04597136559904822,"score_gpt":0.2372958247639404,"score_spread":0.19132445916489219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019171890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859272,0.000115117495,0.0008663199,0.0015527607,0.000061067156,0.00013294745,0.000024572528,0.000888293,0.01043172],"genre_scores_gemma":[0.9659858,0.000010771599,0.033751637,0.0001710186,0.000016668193,4.0119716e-8,0.000061020455,0.0000010377174,0.0000020588132],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911785,0.000026216787,0.000110771594,0.0003561679,0.00019931233,0.0001896695],"domain_scores_gemma":[0.99972504,0.00004652565,0.00004750024,0.00013766537,0.000009984668,0.00003325406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086911,0.00007954167,0.000099226876,0.000040317776,0.00019986561,0.00009501894,0.000326049,0.000042446663,0.000045478766],"category_scores_gemma":[0.000024423198,0.000052478343,0.0000055258997,0.00080901926,0.0003927961,0.00026289985,0.0000260775,0.000090943315,0.000059522936],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008063543,0.000003596435,0.077670604,0.00002236031,0.0000072011544,0.000032694134,0.0006391208,0.0044728024,0.002254259,0.00017528312,0.00040305447,0.9142384],"study_design_scores_gemma":[0.0003741155,0.00017498586,0.085803315,0.00004727167,0.0000075069133,0.000053123655,0.011917663,0.89800847,0.0016260197,0.0011420706,0.0005016277,0.00034385282],"about_ca_topic_score_codex":0.00039646873,"about_ca_topic_score_gemma":0.0010030483,"teacher_disagreement_score":0.91389453,"about_ca_system_score_codex":0.0000019688218,"about_ca_system_score_gemma":0.000032158805,"threshold_uncertainty_score":0.21400046},"labels":[],"label_agreement":null},{"id":"W3019408721","doi":"10.3390/app10082850","title":"Numerical Simulation for Fractional-Order Bloch Equation Arising in Nuclear Magnetic Resonance by Using the Jacobi Polynomials","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Bloch equations; Jacobi polynomials; Fractional calculus; Nuclear magnetic resonance; Order (exchange); Mathematics; Physics; Mathematical analysis; Orthogonal polynomials","score_opus":0.14217651389640315,"score_gpt":0.36156727708542086,"score_spread":0.2193907631890177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019408721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17880066,0.00020912365,0.8118268,0.006212512,0.00017928856,0.001278275,0.000023344297,0.000089393594,0.0013805857],"genre_scores_gemma":[0.9730582,0.000002662566,0.02623041,0.0004931373,0.0001216019,0.000050912477,0.0000068142367,0.000013785467,0.000022440978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987127,0.000056595527,0.0003358043,0.00029530458,0.00039053874,0.00020903618],"domain_scores_gemma":[0.99802756,0.001598884,0.00015599118,0.00010380237,0.00007108245,0.000042685875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043131158,0.00010686665,0.00013497131,0.000064103624,0.00063579425,0.00010943759,0.00019276197,0.00006334287,0.00012679634],"category_scores_gemma":[0.00085289206,0.000089083645,0.00004081122,0.0007522864,0.00016302794,0.0002058098,0.000029099658,0.00012908255,0.000019804404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019282683,0.0003176049,0.00031603497,0.00003592517,0.00001639364,2.8071392e-7,0.0022769172,0.60060686,0.04805887,0.3332129,0.0036274996,0.011337832],"study_design_scores_gemma":[0.0003819552,0.000039450675,0.0004022782,0.000009899946,0.0000190509,5.2283735e-7,0.0003652511,0.9628785,0.00026913272,0.03295828,0.0025499004,0.00012575266],"about_ca_topic_score_codex":0.000063214895,"about_ca_topic_score_gemma":0.000008736829,"teacher_disagreement_score":0.7942576,"about_ca_system_score_codex":0.00008610984,"about_ca_system_score_gemma":0.0000934248,"threshold_uncertainty_score":0.48900795},"labels":[],"label_agreement":null},{"id":"W3019763968","doi":"10.3390/app10082937","title":"A Framework for Integrating Life-Safety and Environmental Consequences into Conventional Arctic Shipping Risk Models","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"Lloyd's Register; Lloyd's Register Foundation","keywords":"Polar code; Ice formation; Environmental science; Computer science; Polar; Class (philosophy); Sea ice; Premise; Operations research; Meteorology; Risk analysis (engineering); Engineering; Business; Geography; Geology; Telecommunications; Atmospheric sciences","score_opus":0.026081061353613117,"score_gpt":0.24042153075627282,"score_spread":0.2143404694026597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019763968","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08286585,0.00046088616,0.91094214,0.0013143913,0.00011609964,0.00040793876,0.000053007447,0.00016723822,0.003672445],"genre_scores_gemma":[0.9458346,0.00008197263,0.053553864,0.0004191248,0.000058942296,0.000030204705,0.000012009019,0.000006594615,0.000002717633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992308,0.000014850875,0.00020651218,0.00022356893,0.00016727988,0.00015700624],"domain_scores_gemma":[0.9994738,0.00030799548,0.000045412085,0.00004521097,0.000005794224,0.0001217684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003093758,0.00010183573,0.0001260274,0.000025231093,0.00033432452,0.00007265444,0.00012915516,0.0000534663,0.000086122454],"category_scores_gemma":[0.00009704185,0.00009351801,0.000031820327,0.00012681533,0.00039990284,0.0001372929,0.000031111056,0.00015613987,0.0000062352474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056373498,0.000015638543,0.0022738564,0.00018157388,0.00005431329,8.27634e-7,0.005431006,0.089885175,0.0068033417,0.8768423,0.00007894078,0.018376632],"study_design_scores_gemma":[0.00025062516,0.00003617922,0.00022348415,0.000034391902,0.000013222091,0.0000014008648,0.0032565831,0.8340332,0.000701708,0.1607506,0.0005110508,0.00018755773],"about_ca_topic_score_codex":0.000011587072,"about_ca_topic_score_gemma":0.0000037079647,"teacher_disagreement_score":0.86296874,"about_ca_system_score_codex":0.000022738617,"about_ca_system_score_gemma":0.000025430127,"threshold_uncertainty_score":0.38135535},"labels":[],"label_agreement":null},{"id":"W3019913886","doi":"10.3390/app10082870","title":"An Unsupervised Regularization and Dropout based Deep Neural Network and Its Application for Thermal Error Prediction","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Department of Education of Liaoning Province","keywords":"Computer science; Artificial neural network; Artificial intelligence; Heavy duty; Regularization (linguistics); Machine learning; Compensation (psychology); Dropout (neural networks); Engineering","score_opus":0.01411537615629635,"score_gpt":0.23322389218607065,"score_spread":0.2191085160297743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019913886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13165027,0.00020589012,0.8671102,0.00018284758,0.000039630708,0.00038931915,0.000005483908,0.00021590322,0.0002004739],"genre_scores_gemma":[0.9836281,0.0000117769005,0.015937066,0.00018221335,0.000108023145,0.00007256889,0.000047411137,0.000011992086,8.4846175e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948037,0.0000055398223,0.00009859865,0.00021225504,0.00008056199,0.00012266292],"domain_scores_gemma":[0.999832,0.000024836665,0.000027194543,0.000043304262,0.00002001416,0.00005265235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009412215,0.00007914631,0.000069967806,0.000019334097,0.00022108924,0.00004834757,0.000068224224,0.000038388578,0.0000024020906],"category_scores_gemma":[0.000008072701,0.000074350784,0.000006584477,0.00020900645,0.000043746677,0.0002329053,0.000008270709,0.000036782225,3.6672785e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013110091,0.0000027996714,0.00024821004,0.00003943694,0.0000015016777,2.0146542e-8,0.00020424732,0.9637621,0.020018885,0.0025717323,0.000002709174,0.0131352125],"study_design_scores_gemma":[0.00023001188,0.00006540449,0.00040785596,0.0000026590576,0.000009401126,2.3025277e-7,0.00007039364,0.9964911,0.0019605926,0.000617361,0.000062366715,0.00008264019],"about_ca_topic_score_codex":3.3311503e-7,"about_ca_topic_score_gemma":0.0000014426096,"teacher_disagreement_score":0.8519778,"about_ca_system_score_codex":0.0000048930406,"about_ca_system_score_gemma":0.000007160662,"threshold_uncertainty_score":0.30319372},"labels":[],"label_agreement":null},{"id":"W3020123149","doi":"10.3390/app10082832","title":"Multiplicative Structural Decomposition Analysis of Spatial Differences in Energy Intensity among G20 Countries","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Energy intensity; China; Energy consumption; Intensity (physics); Economics; Geography; Efficient energy use; Consumption (sociology); Energy conservation; Economic geography; Agricultural economics; Engineering","score_opus":0.010998562623211361,"score_gpt":0.24128857101168708,"score_spread":0.23029000838847571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020123149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973981,0.000008129416,0.0010631185,0.0002014921,0.000013954663,0.00011269102,0.000009176087,0.000012896762,0.0011804472],"genre_scores_gemma":[0.9994269,0.0000044102835,0.00029935717,0.00023845851,0.0000076106867,0.000010054684,0.000006915694,0.0000022678994,0.0000040192904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987753,0.00003821735,0.00023897935,0.00037695226,0.00035611182,0.00021444872],"domain_scores_gemma":[0.9995736,0.00008922689,0.00012618133,0.00011108294,0.000004873682,0.00009505938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017907508,0.00011850093,0.00027910536,0.00006453523,0.00013931011,0.000027513814,0.0002998014,0.000042201245,0.00040996075],"category_scores_gemma":[0.000029283827,0.00009316656,0.00005816793,0.0008818977,0.0018139319,0.00020913991,0.0001988723,0.00006644369,0.0000057832044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037432303,0.000019317367,0.99025875,0.0000026108364,0.000015914124,6.7285487e-7,0.002001761,0.0030832016,0.0036076528,0.00035952334,0.000004365958,0.0006088198],"study_design_scores_gemma":[0.00010385696,0.000061058796,0.9515505,0.0000012567205,0.000035696055,1.09703734e-7,0.0013978689,0.038029373,0.008108677,0.0005984705,0.000006132628,0.00010701536],"about_ca_topic_score_codex":0.005027608,"about_ca_topic_score_gemma":0.0024255314,"teacher_disagreement_score":0.038708244,"about_ca_system_score_codex":0.00010490914,"about_ca_system_score_gemma":0.000008721194,"threshold_uncertainty_score":0.7600273},"labels":[],"label_agreement":null},{"id":"W3020652131","doi":"10.3390/app10082794","title":"Visual Information Requirements for Remotely Supervised Autonomous Agricultural Machines","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sprayer; Computer science; CLIPS; Computer vision; Field (mathematics); Operator (biology); Human–computer interaction; Artificial intelligence; Engineering; Mathematics","score_opus":0.06328964871459475,"score_gpt":0.36992799107237767,"score_spread":0.3066383423577829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020652131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5859075,0.000011768992,0.01072091,0.00706194,0.0013675651,0.00092756515,0.000024895298,0.00043601432,0.39354178],"genre_scores_gemma":[0.9954497,5.1549046e-7,0.0013468313,0.0026192646,0.00016024453,0.00006259601,0.00004770124,0.0000035124958,0.00030963396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990582,0.000022406859,0.00031482565,0.0002006259,0.00020477691,0.00019920507],"domain_scores_gemma":[0.999608,0.000063281615,0.00012522095,0.00006534393,0.000055055818,0.000083120634],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018457934,0.00010224685,0.00011284148,0.000060134906,0.0003336048,0.00013134947,0.00022566486,0.000048563576,0.0014184855],"category_scores_gemma":[0.00003812342,0.00007607506,0.000050575516,0.0002555247,0.00008491315,0.0004780844,0.000027658212,0.00006584145,0.0010099206],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006671216,0.00029133883,0.0018443665,0.0001256106,0.00016814159,0.0000013839943,0.08658615,0.00069312396,0.040993143,0.42737406,0.14213212,0.29912344],"study_design_scores_gemma":[0.009360435,0.002114574,0.26658744,0.000042535077,0.00010072666,0.000037667785,0.06564505,0.12775038,0.008497376,0.003505385,0.5143046,0.0020538834],"about_ca_topic_score_codex":0.000014268273,"about_ca_topic_score_gemma":0.000005405219,"teacher_disagreement_score":0.4238687,"about_ca_system_score_codex":0.000022033459,"about_ca_system_score_gemma":0.000026439675,"threshold_uncertainty_score":0.9997679},"labels":[],"label_agreement":null},{"id":"W3020868308","doi":"10.3390/app10093145","title":"Toward Business Integrity Modeling and Analysis Framework for Risk Measurement and Analysis","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Operational risk; Risk analysis (engineering); Bankruptcy; Risk management; Business risks; Business; Finance","score_opus":0.11854585361314891,"score_gpt":0.25517383253436404,"score_spread":0.13662797892121514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020868308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21489708,0.0010874122,0.78156924,0.0010045739,0.00004094082,0.00018803304,0.00006055221,0.00001853816,0.0011336426],"genre_scores_gemma":[0.9748704,0.0007806039,0.023870172,0.00037451292,0.000051345047,0.000041220304,0.000004543015,0.000004711893,0.000002477076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868935,0.000006469585,0.00036366645,0.0006121274,0.0000979516,0.0002304332],"domain_scores_gemma":[0.9994836,0.000042901753,0.00020861329,0.00012983968,0.000058748836,0.000076338896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013954719,0.00012640253,0.00047680826,0.0003309561,0.00033496416,0.00018272974,0.00019982498,0.000065174216,0.000014756382],"category_scores_gemma":[0.00022964769,0.00012280371,0.00011027071,0.002843248,0.00012215263,0.00012949882,0.000078892896,0.00011654234,0.0000072525468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003682638,0.00003327116,0.25670683,0.000055460278,0.0009963321,4.23444e-7,0.0020791746,0.026248083,0.000005613494,0.70456845,0.000028714738,0.009240825],"study_design_scores_gemma":[0.000249434,0.00004576096,0.11734964,0.0000050293825,0.00078156043,4.914228e-8,0.00069375074,0.6843472,0.000015370588,0.19533716,0.00084587926,0.0003291675],"about_ca_topic_score_codex":0.0003102993,"about_ca_topic_score_gemma":0.00006961527,"teacher_disagreement_score":0.75997335,"about_ca_system_score_codex":0.000024074045,"about_ca_system_score_gemma":0.000013878091,"threshold_uncertainty_score":0.50077903},"labels":[],"label_agreement":null},{"id":"W3021817879","doi":"10.3390/app10144785","title":"Jumping Side Volley in Soccer—A Biomechanical Preliminary Study on the Flying Kick and Its Coaching Know-How for Practitioners","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jumping; Coaching; Physical medicine and rehabilitation; Simulation; Aeronautics; Trunk; Psychology; Applied psychology; Computer science; Engineering; Medicine","score_opus":0.11386788660453191,"score_gpt":0.3384470984599304,"score_spread":0.22457921185539848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021817879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863114,0.000066874294,0.0001617769,0.011097028,0.000054874497,0.0009964077,8.498247e-7,0.00003606366,0.001274743],"genre_scores_gemma":[0.99732405,0.000010724162,0.000312429,0.0021037902,0.00011025774,0.00011471292,0.000002094559,0.0000080101245,0.00001392778],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99901164,0.000010163796,0.00015413047,0.0003372409,0.0002632603,0.00022354297],"domain_scores_gemma":[0.9995322,0.00023215372,0.00007411276,0.000074065414,0.000016114627,0.000071309914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009205635,0.00010140987,0.00016855414,0.00009074259,0.00047690046,0.00006268433,0.00010784437,0.000033416552,0.000005471155],"category_scores_gemma":[0.000120021075,0.000065857836,0.000024448527,0.00039699546,0.00008086408,0.00015190338,0.00005017811,0.00018059723,0.000004738768],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058049005,0.0026207604,0.25905067,0.000972555,0.00044362378,0.0003025477,0.22857286,0.0013378672,0.25509897,0.09989271,0.0024777695,0.14342476],"study_design_scores_gemma":[0.009269836,0.010118041,0.15691754,0.00078396674,0.0003043691,0.00006785535,0.5697702,0.2221644,0.025427353,0.0013359668,0.002826664,0.0010137808],"about_ca_topic_score_codex":0.0000059866825,"about_ca_topic_score_gemma":0.0000055481073,"teacher_disagreement_score":0.34119737,"about_ca_system_score_codex":0.000016599008,"about_ca_system_score_gemma":0.00007094515,"threshold_uncertainty_score":0.3667981},"labels":[],"label_agreement":null},{"id":"W3021963649","doi":"10.3390/app10093111","title":"Effect of Micropiles on Clean Sand Liquefaction Risk Based on CPT and SPT","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Forests","funders":"","keywords":"Liquefaction; Geotechnical engineering; Standard penetration test; Cone penetration test; Penetration test; Soil liquefaction; Environmental science; Geology; Subgrade","score_opus":0.005127627376979651,"score_gpt":0.19800642453232462,"score_spread":0.19287879715534498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021963649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919428,0.000031898722,0.0036394808,0.00006366179,0.00006726209,0.0000975788,0.0000038769917,0.00015938721,0.0039940285],"genre_scores_gemma":[0.9996117,0.000014478522,0.00027261866,0.000056575966,0.00003172695,0.000004197435,7.045451e-7,0.0000067443043,0.0000012847767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99950916,0.000012824939,0.00008485,0.00015309689,0.00012926027,0.000110829096],"domain_scores_gemma":[0.9996608,0.00019693562,0.000018810922,0.00006701963,0.0000029743107,0.00005344633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014118991,0.00009875931,0.00012056594,0.000045098055,0.00006214163,0.000023166323,0.000084682426,0.000047593887,0.0000069591283],"category_scores_gemma":[0.000032915686,0.00007311109,0.000022565997,0.0001508844,0.00008491318,0.000019020685,0.0000075320654,0.0001340014,0.0000035114447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005320788,0.0000044272783,0.0000878833,0.00009705809,0.0000065179515,4.7424288e-7,0.00006169174,0.92380726,0.044121344,0.0008939063,0.00014307961,0.030723155],"study_design_scores_gemma":[0.0005761082,0.0017061571,0.003800487,0.000042794298,0.000021716578,8.917281e-7,0.000040768147,0.38536993,0.60700136,0.00047086098,0.00070966495,0.00025923277],"about_ca_topic_score_codex":0.000008995582,"about_ca_topic_score_gemma":9.2996726e-7,"teacher_disagreement_score":0.56288004,"about_ca_system_score_codex":0.0000073012725,"about_ca_system_score_gemma":0.0000040372424,"threshold_uncertainty_score":0.29813838},"labels":[],"label_agreement":null},{"id":"W3023303203","doi":"10.3390/app10093223","title":"A Comparative Study of Weighting Methods for Local Reference Frame","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Weighting; Robustness (evolution); Artificial intelligence; Computer science; Computer vision; Repeatability; Computer graphics; Clutter; Pattern recognition (psychology); Mathematics; Radar; Statistics","score_opus":0.11651118584578975,"score_gpt":0.3643500150018847,"score_spread":0.24783882915609495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023303203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14144595,0.000028217626,0.8548121,0.000024686171,0.00003530459,0.0002525832,0.0000012047334,0.000049705766,0.0033502404],"genre_scores_gemma":[0.9164918,0.0000012340483,0.08342797,0.00003772965,0.00001737089,0.000017317077,0.0000012403293,0.000004166571,0.0000011598657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994322,0.000019603518,0.00016697177,0.00015356723,0.00011271927,0.00011493011],"domain_scores_gemma":[0.9996652,0.00017456415,0.000033718752,0.00005653047,0.000028803208,0.000041188683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022034578,0.00006942513,0.00016896248,0.000029577728,0.00008197515,0.000021347247,0.00014822802,0.000024897185,0.0000074736445],"category_scores_gemma":[0.000014940044,0.000057963203,0.0000132657615,0.00033166815,0.000090091846,0.00003511975,0.000016228247,0.000053110605,0.000002659776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007892144,0.0000382727,0.00005336613,0.000026334725,0.0000128647725,9.273564e-8,0.00491171,0.95830715,0.018804936,0.012912132,0.000065282,0.0048599797],"study_design_scores_gemma":[0.00018337625,0.00025368965,0.0000691697,0.0000036855042,0.000008779886,6.743942e-8,0.0061072554,0.9688811,0.023579996,0.00059019733,0.0002419472,0.000080793645],"about_ca_topic_score_codex":0.0000059001322,"about_ca_topic_score_gemma":0.0000052030164,"teacher_disagreement_score":0.7750459,"about_ca_system_score_codex":0.000007161392,"about_ca_system_score_gemma":0.000012679005,"threshold_uncertainty_score":0.23636709},"labels":[],"label_agreement":null},{"id":"W3023329313","doi":"10.3390/app10093272","title":"Flow Regime, Slug Frequency and Wavelet Analysis of Air/Newtonian and Air/non-Newtonian Two-Phase Flow","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Qatar National Research Fund","keywords":"Slug flow; Mechanics; Non-Newtonian fluid; Newtonian fluid; Flow (mathematics); Wavelet; Bubble; Two-phase flow; Physics; Materials science; Computer science","score_opus":0.009184483278132776,"score_gpt":0.22667460313311166,"score_spread":0.21749011985497888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023329313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578137,0.00054372835,0.029905645,0.00060184445,0.0001360564,0.00021596672,0.000057340032,0.00012384939,0.010601888],"genre_scores_gemma":[0.9649078,0.00009195357,0.03469021,0.00021265018,0.000043595523,0.000009345329,0.000009943802,0.000014300795,0.000020166604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875635,0.000009459171,0.00027559182,0.00040257376,0.00024824284,0.00030778267],"domain_scores_gemma":[0.9994967,0.00005522585,0.000048373015,0.00017673244,0.000022054104,0.00020093248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002701389,0.00018802882,0.00036655986,0.00023755882,0.00016473827,0.000055729764,0.00023350368,0.000057978326,0.000027871196],"category_scores_gemma":[0.000016114976,0.00017223417,0.000058785685,0.0013590446,0.00029068638,0.00014163111,0.0000676635,0.00011718255,0.0000040575533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002618941,0.00006722472,0.0033943292,0.0002742409,0.00069206324,0.000030166162,0.0075307335,0.40117422,0.52070445,0.010931212,0.0007625905,0.05441259],"study_design_scores_gemma":[0.00045893728,0.000059892915,0.001762369,0.000012541971,0.00014643946,0.000001858598,0.00026712613,0.9940954,0.0024507693,0.00033377748,0.00019377965,0.000217146],"about_ca_topic_score_codex":0.00007776462,"about_ca_topic_score_gemma":0.00014696919,"teacher_disagreement_score":0.59292114,"about_ca_system_score_codex":0.000016100683,"about_ca_system_score_gemma":0.000034021057,"threshold_uncertainty_score":0.70235056},"labels":[],"label_agreement":null},{"id":"W3023731733","doi":"10.3390/app10093018","title":"Developing a Universal Mirror–mirror Laser Mapping System for Single Event Effect Research","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Laser; Computer science; Sensitivity (control systems); Attenuator (electronics); Amplifier; Software; Optics; Computer hardware; Electronic engineering; Engineering; Physics; Bandwidth (computing); Telecommunications","score_opus":0.07154039778493125,"score_gpt":0.30456025219163135,"score_spread":0.2330198544067001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023731733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222792,0.00023399852,0.05862501,0.00084812747,0.00053391024,0.0018430168,0.000007259663,0.00089409394,0.014735412],"genre_scores_gemma":[0.9917759,0.0000020016125,0.007956363,0.00004969721,0.00004913533,0.00012959994,0.0000029185821,0.000023197988,0.000011232326],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842197,0.00006446584,0.00017977414,0.00032851248,0.0004259363,0.0005793588],"domain_scores_gemma":[0.99907684,0.00063377287,0.000031978972,0.00011420459,0.000041034677,0.0001021557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014052339,0.00013753782,0.00018080401,0.00015249179,0.0003801852,0.00009926536,0.00041301147,0.00006642993,0.00000441901],"category_scores_gemma":[0.000089879424,0.00013040501,0.000043396485,0.001099391,0.00012487304,0.00012383514,0.00004832003,0.00017933035,0.00006697012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093158254,0.000032385306,0.00019651192,0.0028524923,0.00014938648,0.000016628483,0.0053870305,0.16789009,0.697011,0.10809652,0.0016988757,0.01657592],"study_design_scores_gemma":[0.0009873081,0.000507371,0.0001434716,0.00015484648,0.000017600925,0.000006879019,0.002558737,0.5953367,0.378562,0.00041712238,0.0207571,0.00055087206],"about_ca_topic_score_codex":0.000012190896,"about_ca_topic_score_gemma":0.000012814196,"teacher_disagreement_score":0.4274466,"about_ca_system_score_codex":0.00047838897,"about_ca_system_score_gemma":0.00012184101,"threshold_uncertainty_score":0.5317762},"labels":[],"label_agreement":null},{"id":"W3026454188","doi":"10.3390/app10103513","title":"Digital Design of Minimally Invasive Endodontic Access Cavity","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dentin; Cone beam computed tomography; Orthodontics; Dentistry; Computer science; Computed tomography; Medicine; Surgery","score_opus":0.08839521697422971,"score_gpt":0.3057782906943415,"score_spread":0.21738307372011179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026454188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410213,0.00008776842,0.002623075,0.00023171387,0.0001502146,0.0003388645,0.00004579499,0.000046108824,0.055455144],"genre_scores_gemma":[0.9983297,0.0000070384367,0.0012223407,0.00019090898,0.000043368953,0.000012150648,0.0000038162975,0.0000072898015,0.00018340166],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880344,0.00001807939,0.00021755836,0.00033137965,0.00041102848,0.00021851057],"domain_scores_gemma":[0.99932706,0.0002488628,0.00013893757,0.0001225787,0.000038706232,0.00012385522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012848334,0.00012083341,0.00020837368,0.000044329467,0.00012762079,0.00021846255,0.00063131907,0.000038042734,0.00006761129],"category_scores_gemma":[0.00013122664,0.00009382675,0.000055754055,0.0004224465,0.00029254038,0.0002675022,0.0001741982,0.00006194264,0.00012927507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006988541,0.0011493921,0.54317766,0.0004769346,0.00070572825,0.0008924257,0.0032678521,0.0065079676,0.35360342,0.03148262,0.017459348,0.040577807],"study_design_scores_gemma":[0.0059577134,0.0019668841,0.15096001,0.00015203042,0.0003753427,0.00007096808,0.002622215,0.0035890853,0.818864,0.009964827,0.0036476164,0.0018293295],"about_ca_topic_score_codex":0.000019284735,"about_ca_topic_score_gemma":0.000023889304,"teacher_disagreement_score":0.46526057,"about_ca_system_score_codex":0.000015116566,"about_ca_system_score_gemma":0.00013846152,"threshold_uncertainty_score":0.38261437},"labels":[],"label_agreement":null},{"id":"W3026691883","doi":"10.3390/app10103530","title":"Effects of Atmospheric-Pressure Cold Plasma Treatment on Deoxynivalenol Degradation, Quality Parameters, and Germination of Barley Grains","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Canola Producers Commission; Alberta Agriculture and Forestry","keywords":"Steeping; Germination; Water content; Relative humidity; Agronomy; Chemistry; Mycotoxin; Humidity; Horticulture; Moisture; Food science; Biology","score_opus":0.031908016233098226,"score_gpt":0.28825280509860834,"score_spread":0.2563447888655101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026691883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963745,0.00009303898,0.0006237411,0.0007594534,0.000014802893,0.00062119286,0.00001672931,0.000018932311,0.0014776085],"genre_scores_gemma":[0.990599,0.00007329167,0.009008445,0.00020757297,0.000011878427,0.000060460963,0.000006107703,0.0000042114048,0.000029069352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991753,0.0000216182,0.00021513776,0.0002353072,0.00025217945,0.000100424164],"domain_scores_gemma":[0.99880594,0.0007751577,0.00015212205,0.0001078253,0.0000459217,0.000113029026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013013263,0.0000935252,0.00023272051,0.000015783231,0.00007368068,0.000009523932,0.00007527802,0.000046289682,0.0000052173687],"category_scores_gemma":[0.00030071114,0.00007119146,0.000028688624,0.0003238587,0.00025757393,0.00003362824,0.000017433933,0.00003554284,0.0000032883631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029356443,0.0010691353,0.021535017,0.0008204158,0.00013556519,0.0000044482463,0.0022767782,0.0007330572,0.79185283,0.15580393,0.0008132558,0.024661977],"study_design_scores_gemma":[0.0014233835,0.0012011016,0.033695113,0.000044447574,0.000155415,0.0000013390588,0.00033714657,0.0037818837,0.95790285,0.00030124144,0.0010468446,0.00010922989],"about_ca_topic_score_codex":0.00003328861,"about_ca_topic_score_gemma":0.000004214014,"teacher_disagreement_score":0.16605,"about_ca_system_score_codex":0.000013731459,"about_ca_system_score_gemma":0.00008609973,"threshold_uncertainty_score":0.29031038},"labels":[],"label_agreement":null},{"id":"W3027558920","doi":"10.3390/app10134608","title":"Hierarchical Classification Method for Radio Frequency Interference Recognition and Characterization in Satcom","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; École de technologie supérieure","keywords":"Computer science; Communications satellite; Interference (communication); Electronic engineering; Robustness (evolution); Perceptron; Telecommunications; Real-time computing; Artificial intelligence; Artificial neural network; Engineering; Satellite; Channel (broadcasting)","score_opus":0.1186836324677166,"score_gpt":0.30234566019635717,"score_spread":0.18366202772864057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027558920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08429874,0.000008616699,0.90718484,0.0075439657,0.00006560836,0.00042185833,0.000008970657,0.00008591828,0.00038150093],"genre_scores_gemma":[0.7925922,0.000007725649,0.20667638,0.0005073393,0.00004911464,0.00012224262,0.000038665265,0.0000041012713,0.0000022318275],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859214,0.00009302195,0.00030836757,0.00061736617,0.00020813115,0.00018096749],"domain_scores_gemma":[0.99930036,0.00026542923,0.00015567378,0.00013703846,0.00005414322,0.00008736894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006693526,0.00010681284,0.00013972186,0.00013810866,0.00015407223,0.00020799765,0.00045660927,0.000064596905,0.0000054752436],"category_scores_gemma":[0.00009803271,0.000102430386,0.00001923062,0.0007807575,0.00012000798,0.00060770055,0.000060095274,0.0001037504,0.000014502562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012413867,0.00002282639,0.0011186094,0.000018745195,0.0000019225604,1.8612616e-7,0.0014300428,0.000029572964,0.5632183,0.20050618,0.000008793393,0.2336324],"study_design_scores_gemma":[0.0004127997,0.00013155618,0.09481912,0.00002137628,0.000004034096,0.0000025639117,0.00012493272,0.8209741,0.013460632,0.069694,0.00011325595,0.00024159996],"about_ca_topic_score_codex":0.0000060683856,"about_ca_topic_score_gemma":0.0000053060626,"teacher_disagreement_score":0.82094455,"about_ca_system_score_codex":0.000034502424,"about_ca_system_score_gemma":0.00007342175,"threshold_uncertainty_score":0.41769898},"labels":[],"label_agreement":null},{"id":"W3028544405","doi":"10.3390/app10103522","title":"EMG-Assisted Algorithm to Account for Shoulder Muscles Co-Contraction in Overhead Manual Handling","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Physical medicine and rehabilitation; Joint stability; Electromyography; Kinematics; Rotator cuff; Shoulder joint; Medicine; Rehabilitation; Computer science; Physical therapy; Anatomy","score_opus":0.0346192623417352,"score_gpt":0.2906051855124388,"score_spread":0.2559859231707036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028544405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78359985,0.00019192815,0.19864301,0.0028506499,0.00041816314,0.0012250509,0.000025907782,0.00053279597,0.012512652],"genre_scores_gemma":[0.9941757,0.00001695409,0.004848383,0.0006903739,0.000110577304,0.00014035271,0.0000037978593,0.000009248283,0.0000046489795],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991468,0.0000046295986,0.00016502765,0.00022898248,0.00018674285,0.00026779316],"domain_scores_gemma":[0.9997596,0.00008659896,0.000022262966,0.000051214476,0.000017702294,0.00006257902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017293912,0.0001084052,0.00014403179,0.00012805073,0.0001663161,0.00007409407,0.00012312863,0.000039970393,0.0000130808585],"category_scores_gemma":[0.000019470288,0.00010188924,0.00003423869,0.00055991596,0.00004327141,0.0001420664,0.000012026991,0.000081701546,0.0000027023996],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048629998,0.000049725186,0.0009008426,0.00006901225,0.000057631303,0.0000012618757,0.003243987,0.014308193,0.119548544,0.0017689449,0.007821878,0.8521814],"study_design_scores_gemma":[0.0043711513,0.0006678029,0.3796813,0.00011211576,0.00006855291,0.0000053388994,0.01631615,0.2717929,0.2006087,0.002056576,0.1221058,0.0022136339],"about_ca_topic_score_codex":0.000013548471,"about_ca_topic_score_gemma":0.00004351942,"teacher_disagreement_score":0.8499677,"about_ca_system_score_codex":0.000032829463,"about_ca_system_score_gemma":0.000014049258,"threshold_uncertainty_score":0.4154923},"labels":[],"label_agreement":null},{"id":"W3029127089","doi":"10.3390/app10113824","title":"Gold Nanoparticles for Drug Delivery and Cancer Therapy","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":425,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Toronto Metropolitan University","funders":"","keywords":"Nanotechnology; Drug delivery; Nanomaterials; Colloidal gold; Materials science; Nanomedicine; Cancer therapy; Nanoparticle; Drug; Cancer; Medicine; Pharmacology","score_opus":0.046771685612371335,"score_gpt":0.26639351898401903,"score_spread":0.2196218333716477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029127089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940408,0.00095141167,0.000024939722,0.004193315,0.000035664205,0.00024762892,0.000012765991,0.00008179062,0.00041169408],"genre_scores_gemma":[0.9964068,0.00020804157,0.0014041262,0.0016722718,0.00008079152,0.00020148067,2.3184609e-7,0.000006611923,0.00001965129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991728,0.000010360879,0.0001296232,0.00031445466,0.00013332284,0.00023943752],"domain_scores_gemma":[0.9996463,0.00010751527,0.000045595483,0.0000703811,0.000019176772,0.00011101554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024350085,0.00008044717,0.000110296794,0.000012579598,0.00028556946,0.00013267262,0.0002094106,0.000016041447,0.00007161958],"category_scores_gemma":[0.000007832762,0.00005810896,0.000023073933,0.0001552998,0.00026169914,0.000101381294,0.000036861435,0.000019907731,0.00004046782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001489812,0.000015635153,0.00024624157,0.0000042358333,0.0000014166475,6.138775e-8,0.00045126097,0.000023615466,0.97390324,0.008005289,0.0017178906,0.0156162195],"study_design_scores_gemma":[0.00019812497,0.000029205916,0.00028693958,0.0000031905709,0.000005271099,1.7528068e-7,0.0003686763,0.0004184688,0.9840869,0.0012299921,0.013273984,0.00009910245],"about_ca_topic_score_codex":0.000034859724,"about_ca_topic_score_gemma":0.000011019646,"teacher_disagreement_score":0.0155171165,"about_ca_system_score_codex":0.0000045366883,"about_ca_system_score_gemma":0.000039423114,"threshold_uncertainty_score":0.23696147},"labels":[],"label_agreement":null},{"id":"W3029609325","doi":"10.3390/app10103613","title":"An Efficient Ultra-Tight GPS/RISS Integrated System for Challenging Navigation Environments","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"GNSS positioning and interference","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Global Positioning System; GPS signals; Jamming; Precision Lightweight GPS Receiver; Computer science; Inertial measurement unit; Assisted GPS; GPS disciplined oscillator; Robustness (evolution); Time to first fix; Real-time computing; SIGNAL (programming language); GPS/INS; Telecommunications; Gps receiver; Artificial intelligence","score_opus":0.01732247179894539,"score_gpt":0.21796994190349572,"score_spread":0.20064747010455034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029609325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82762825,0.00006398735,0.16549803,0.000049659502,0.00018168433,0.0002648248,0.000015387608,0.00034864942,0.0059495317],"genre_scores_gemma":[0.9985584,0.0000024968365,0.0012644,0.000026440664,0.00005156831,0.000059526592,0.00002765663,0.0000069077046,0.0000025902805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926984,0.000008196871,0.00014473384,0.00023251954,0.0001517015,0.0001929935],"domain_scores_gemma":[0.9997826,0.000029750992,0.000026795005,0.00006775777,0.0000072970906,0.00008574836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013947467,0.00010392702,0.00009867957,0.000024246336,0.0001972228,0.00007695991,0.00021458267,0.000038128914,0.0000051335346],"category_scores_gemma":[0.0000034521697,0.00008228643,0.000021552252,0.00016450231,0.000055612025,0.0000747678,0.0000058906053,0.00007279532,0.000033461303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065808863,0.00001963994,0.000027158983,0.00007437664,0.000009636521,4.3821598e-7,0.001882808,0.4261744,0.564138,0.0047112694,0.00005030837,0.0029053995],"study_design_scores_gemma":[0.00011757747,0.00008591511,0.00009837274,0.00006024725,0.0000068182,0.0000014525671,0.0019287358,0.7713137,0.22589482,0.000015280886,0.00033511323,0.00014193614],"about_ca_topic_score_codex":0.0000031283887,"about_ca_topic_score_gemma":3.233138e-7,"teacher_disagreement_score":0.34513932,"about_ca_system_score_codex":0.00004529438,"about_ca_system_score_gemma":0.0000060694156,"threshold_uncertainty_score":0.33555433},"labels":[],"label_agreement":null},{"id":"W3029787607","doi":"10.3390/app10103606","title":"Applications of Pulsed Light Decontamination Technology in Food Processing: An Overview","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food contact materials; Human decontamination; Food processing; Food packaging; Food engineering; Food industry; Food safety; Food preservation; Ultraviolet light; Environmental science; Process engineering; Business; Nanotechnology; Biochemical engineering; Materials science; Food science; Waste management; Engineering; Chemistry","score_opus":0.08906514520714019,"score_gpt":0.34548299708469776,"score_spread":0.25641785187755756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029787607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812423,0.0027486612,0.007419471,0.0020022304,0.000031441854,0.00065029855,0.000010337493,0.00003484598,0.0058604036],"genre_scores_gemma":[0.99762654,0.00005147012,0.0018619226,0.0002699538,0.00004041646,0.00012465897,0.000014686958,0.0000058871065,0.0000044572216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922156,0.000013757001,0.00019514421,0.00034029686,0.00010046679,0.00012875366],"domain_scores_gemma":[0.99966055,0.000003568399,0.000097923185,0.00016512942,0.000035047477,0.00003776553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016112193,0.00007702156,0.000107477164,0.0000653781,0.00006152251,0.000013742516,0.00040395386,0.00009477087,0.000004675819],"category_scores_gemma":[0.000017767112,0.000072441486,0.000016682445,0.0006034813,0.00018140547,0.000007484539,0.00012009566,0.000037351,0.0000022697493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016661443,0.000048250913,0.0012423856,0.000035337074,0.00000386694,1.2161168e-7,0.00013058324,0.000042329924,0.95522416,0.007761992,0.000009676814,0.035484634],"study_design_scores_gemma":[0.00029592455,0.00048385077,0.00055947073,0.0000064790693,0.000004792985,0.0000021687704,0.000475209,0.0002579944,0.98308367,0.0022578142,0.0124353785,0.00013723294],"about_ca_topic_score_codex":0.0000012241911,"about_ca_topic_score_gemma":0.000028131379,"teacher_disagreement_score":0.035347402,"about_ca_system_score_codex":0.000007119118,"about_ca_system_score_gemma":0.00009045017,"threshold_uncertainty_score":0.2954078},"labels":[],"label_agreement":null},{"id":"W3029828718","doi":"10.3390/app10113782","title":"Quantum Correlation via Skew Information and Bell Function Beyond Entanglement in a Two-Qubit Heisenberg XYZ Model: Effect of the Phase Damping","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Quantum entanglement; Quantum correlation; Physics; Qubit; Hamiltonian (control theory); Eigenvalues and eigenvectors; Quantum mechanics; Statistical physics; Anisotropy; Quantum nonlocality; Quantum; Heisenberg model; Quantum discord; Mathematics","score_opus":0.010304743420478686,"score_gpt":0.24825159032509425,"score_spread":0.23794684690461557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029828718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2683469,0.00002292146,0.7266996,0.0005493358,0.00012670012,0.0004099467,0.0000017200111,0.00004267105,0.0038002336],"genre_scores_gemma":[0.9978266,0.000007919461,0.0012046741,0.0009195142,0.0000093600665,0.000025816002,0.0000039427887,0.0000016486661,5.2652575e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883974,0.00004096306,0.00036856512,0.00016661026,0.00042294053,0.0001611846],"domain_scores_gemma":[0.99947244,0.000068215246,0.00023690298,0.00014281715,0.000021856882,0.0000577741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066154817,0.000106668034,0.00012488298,0.00014833058,0.00023015642,0.00012281623,0.0003740978,0.00002656239,0.000005005433],"category_scores_gemma":[0.00001530437,0.00007433587,0.00003912624,0.0011450526,0.00013587563,0.0013955494,0.00014639762,0.00009703459,0.000009116205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009224639,0.000045179906,0.0033252188,0.00008857611,0.0000104584415,1.5898931e-7,0.009397636,0.045792647,0.003677984,0.86845976,0.00016826038,0.06894186],"study_design_scores_gemma":[0.0010530273,0.00020346887,0.00044871797,0.000012109415,0.000006433931,9.853126e-7,0.00018377136,0.9832788,0.0023398867,0.012198991,0.00018176105,0.00009204942],"about_ca_topic_score_codex":0.000015217858,"about_ca_topic_score_gemma":0.000009190949,"teacher_disagreement_score":0.9374862,"about_ca_system_score_codex":0.000020598403,"about_ca_system_score_gemma":0.00004353782,"threshold_uncertainty_score":0.3031329},"labels":[],"label_agreement":null},{"id":"W3031168917","doi":"10.3390/app10103639","title":"Optimisation of Shear and Lateral–Torsional Buckling of Steel Plate Girders Using Meta-Heuristic Algorithms","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Girder; Structural engineering; Buckling; Bracing; Harmony search; Torsion (gastropod); Engineering; Mathematics; Brace; Mathematical optimization","score_opus":0.05496088975452602,"score_gpt":0.2471513828246973,"score_spread":0.1921904930701713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031168917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703914,0.00018578714,0.0022876568,0.000035440204,0.000039276507,0.000053983396,0.0000053839126,0.000036875306,0.00031646347],"genre_scores_gemma":[0.9602676,0.000008666996,0.039679274,0.000014757114,0.00001928664,0.0000012964277,0.0000013237322,0.0000057898824,0.0000020119162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927056,0.0000077823715,0.00020492669,0.00016335487,0.00023807852,0.00011531829],"domain_scores_gemma":[0.99975467,0.00006377376,0.00005862004,0.00005636086,0.000018860403,0.000047711692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014806511,0.00008858392,0.00023019902,0.00007557942,0.000064109714,0.000020866522,0.00011196792,0.000029355844,0.000034676963],"category_scores_gemma":[0.0000169502,0.00007259699,0.000045413544,0.00035264785,0.00016273856,0.00007960887,0.00003109835,0.00005745902,0.0000010004094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030634128,0.000001473518,0.00019795094,0.000047312304,0.00012799856,3.3689125e-7,0.00053429615,0.525103,0.4732653,0.00029939367,0.0000048282227,0.00041507868],"study_design_scores_gemma":[0.000115470015,0.000020248963,0.0010344037,0.000009239807,0.0002489954,0.0000014596521,0.0002320812,0.7853322,0.21258764,0.00029300753,0.000010422997,0.00011484007],"about_ca_topic_score_codex":0.000045918463,"about_ca_topic_score_gemma":5.158388e-7,"teacher_disagreement_score":0.26067764,"about_ca_system_score_codex":0.000008677653,"about_ca_system_score_gemma":0.000011889749,"threshold_uncertainty_score":0.29604194},"labels":[],"label_agreement":null},{"id":"W3032694797","doi":"10.3390/app10113682","title":"Integration of High Voltage AC/DC Grids into Modern Power Systems","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrical engineering; Computer science; Electric power system; Voltage; Power (physics); Engineering; Physics","score_opus":0.015380429774232277,"score_gpt":0.2160435506033032,"score_spread":0.20066312082907095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032694797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5461113,0.00019842133,0.443158,0.000056299592,0.00051427324,0.00030108573,0.0000035356286,0.00020714346,0.00944996],"genre_scores_gemma":[0.9993216,0.0000043143723,0.00052124064,0.000019528481,0.00006944359,0.00003749376,0.0000015536062,0.000008004639,0.000016826385],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926734,0.00000794952,0.00021030154,0.00016685048,0.00022716298,0.00012041693],"domain_scores_gemma":[0.99978256,0.000015632992,0.000043062173,0.00008600815,0.000022581493,0.00005013061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021988712,0.00008782713,0.00014531084,0.00004869046,0.00007492471,0.000053086533,0.00016206836,0.0000567513,0.000011135787],"category_scores_gemma":[0.000011615605,0.000070306,0.000021879441,0.00035003663,0.00006652872,0.0001338448,0.000017888024,0.0000779614,0.00003093839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044973203,0.000005475036,0.000029170864,0.00008954843,0.000009183136,4.0497062e-7,0.0031826934,0.053282417,0.92259294,0.016048517,0.0003222357,0.004432941],"study_design_scores_gemma":[0.0004059454,0.00025529205,0.00074863585,0.00009836059,0.000014605102,0.0000041928192,0.00490596,0.78625685,0.19932806,0.0028156913,0.0046935314,0.00047284085],"about_ca_topic_score_codex":0.0002054356,"about_ca_topic_score_gemma":0.000012505351,"teacher_disagreement_score":0.73297447,"about_ca_system_score_codex":0.000021672884,"about_ca_system_score_gemma":0.000012543452,"threshold_uncertainty_score":0.28669953},"labels":[],"label_agreement":null},{"id":"W3033751116","doi":"10.3390/app10113865","title":"A Compact High-Efficient Equivalent Circuit Model of Multi-Quantum-Well Vertical-Cavity Surface-Emitting Lasers for High-Speed Interconnects","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Vertical-cavity surface-emitting laser; Optoelectronics; Quantum well; Materials science; Heterojunction; Laser; Photon; Optics; Physics","score_opus":0.0803540193048984,"score_gpt":0.2644702541255242,"score_spread":0.18411623482062583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033751116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766157,0.000076705466,0.021651022,0.00018260446,0.0002178795,0.0004007335,0.00004153154,0.00017606207,0.0006377213],"genre_scores_gemma":[0.99719524,0.000007618029,0.0025158094,0.00020137892,0.000040787232,0.000005968034,0.0000059516656,0.000023182925,0.0000040690693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983193,0.000013631772,0.000395978,0.00043246476,0.00034139853,0.00049719185],"domain_scores_gemma":[0.9991322,0.0003584501,0.000053164444,0.00016836704,0.000047840495,0.00023993396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035291887,0.00022655573,0.00039770178,0.000049774702,0.00012765362,0.00006467419,0.00045197995,0.00008038605,0.00003739997],"category_scores_gemma":[0.00008629114,0.00019240605,0.000092459704,0.00036052015,0.00029509302,0.00009976342,0.00006638149,0.00014790474,0.000027142507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014267625,0.00004286136,0.00005414987,0.000115375784,0.000019480312,5.9684436e-7,0.0003823254,0.63273185,0.35702276,0.009434473,0.0000983256,0.00008353081],"study_design_scores_gemma":[0.00048813145,0.000067621644,0.00008911954,0.000026816455,0.000024780571,1.8713304e-7,0.00043862395,0.7478758,0.25042397,0.00036320605,0.000011510194,0.0001902189],"about_ca_topic_score_codex":0.000039102142,"about_ca_topic_score_gemma":0.0000054068046,"teacher_disagreement_score":0.11514396,"about_ca_system_score_codex":0.00005033378,"about_ca_system_score_gemma":0.000039794173,"threshold_uncertainty_score":0.7846091},"labels":[],"label_agreement":null},{"id":"W3034516837","doi":"10.3390/app10114040","title":"Quantum Dilation and Erosion","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Quantum computer; Computer science; Quantum information; Quantum network; Quantum error correction; Qubit; Quantum algorithm; Dilation (metric space); Theoretical computer science; Quantum; Algorithm; Computer engineering; Quantum mechanics; Physics; Mathematics; Geometry","score_opus":0.02069565425030436,"score_gpt":0.23274273921619343,"score_spread":0.21204708496588906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034516837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48430994,0.00009377387,0.5052195,0.008114034,0.00012468178,0.00009649603,4.1845615e-7,0.00022191061,0.0018192187],"genre_scores_gemma":[0.96058494,0.0000041937715,0.038213983,0.0011220623,0.00006814852,0.0000018566172,2.3587094e-7,0.0000019574454,0.000002645479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915177,0.000013838359,0.00009354051,0.0003616409,0.00021929134,0.0001599348],"domain_scores_gemma":[0.99970436,0.00006037864,0.00004131721,0.00009506024,0.000009078219,0.00008982706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020226713,0.0000725788,0.00007622624,0.00003239469,0.0003196389,0.00020221616,0.0004414878,0.000020858384,0.0000022180468],"category_scores_gemma":[0.000014308851,0.00005461406,0.000013510584,0.00045641093,0.00012511235,0.00013464085,0.00023132637,0.00007371053,0.000017440869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041157095,0.00001904066,0.00081926095,0.000015977559,0.0000031774293,0.0000034589434,0.0042533157,0.0056485482,0.04050857,0.77395827,0.0005994504,0.17416681],"study_design_scores_gemma":[0.00008918104,0.00008184759,0.0028412573,0.000004413439,9.2192477e-7,0.0000033691304,0.000039593295,0.98108184,0.0018693008,0.0129923355,0.0008903673,0.00010556866],"about_ca_topic_score_codex":0.000004358371,"about_ca_topic_score_gemma":4.3271584e-7,"teacher_disagreement_score":0.9754333,"about_ca_system_score_codex":0.0000025361428,"about_ca_system_score_gemma":0.000022807584,"threshold_uncertainty_score":0.24584363},"labels":[],"label_agreement":null},{"id":"W3035136299","doi":"10.3390/app10114039","title":"Use of Response Surface Methodology to Investigate the Effects of Sodium Chloride Substitution with Potassium Chloride on Dough’s Rheological Properties","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sodium Intake and Health","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation","keywords":"Farinograph; Rheology; Sodium; Food science; Chemistry; Response surface methodology; Absorption of water; Potassium; Wheat flour; Materials science; Chromatography; Composite material; Organic chemistry","score_opus":0.19659829483727548,"score_gpt":0.31565432240699287,"score_spread":0.1190560275697174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035136299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98044676,0.00003804693,0.00022686737,0.017973175,0.0003523747,0.0007381732,0.0000021784456,0.000053710348,0.00016874734],"genre_scores_gemma":[0.99040276,0.000005830883,0.004174122,0.0052841813,0.00007104796,0.000032119828,6.537324e-7,0.0000086197815,0.000020663558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99797547,0.00045376815,0.00032624492,0.0004319781,0.00044893942,0.0003635872],"domain_scores_gemma":[0.9968983,0.0024302716,0.00020531763,0.00024064901,0.00006953365,0.00015592374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017180849,0.00017261729,0.00036992753,0.0000717585,0.00029963691,0.000037494738,0.00041301743,0.00008294664,0.0000051935003],"category_scores_gemma":[0.0017283282,0.0000909525,0.00004047193,0.00079066557,0.0017222146,0.00011459889,0.00007373968,0.00021568386,0.000017895369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025728218,0.000058085916,0.0027425673,0.00015887078,0.000014881975,0.0000042795164,0.0071616117,0.0026030582,0.9458443,0.015153262,0.00027062133,0.00026025486],"study_design_scores_gemma":[0.0003145901,0.0026181547,0.013913771,0.000066155604,0.000027934771,0.0000033915176,0.00055190537,0.00016595062,0.9813318,0.0003497201,0.0005293737,0.00012723196],"about_ca_topic_score_codex":0.00031329045,"about_ca_topic_score_gemma":0.000040451858,"teacher_disagreement_score":0.035487533,"about_ca_system_score_codex":0.000035420868,"about_ca_system_score_gemma":0.000176281,"threshold_uncertainty_score":0.6345571},"labels":[],"label_agreement":null},{"id":"W3035530925","doi":"10.3390/app10124095","title":"An Advanced Shear Strength Criterion for Rock Discontinuities Considering Size and Low Shear Rate","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Classification of discontinuities; Shear (geology); Shear rate; Direct shear test; Geotechnical engineering; Shear strength (soil); Geology; Rock mass classification; Triaxial shear test; Materials science; Mechanics; Mathematics; Composite material; Physics; Rheology; Mathematical analysis","score_opus":0.018557530526036897,"score_gpt":0.23890000466690692,"score_spread":0.22034247414087002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035530925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9315927,0.0001780828,0.067165636,0.00015665857,0.00011971727,0.00022043704,0.000009807946,0.0001681507,0.0003887849],"genre_scores_gemma":[0.98766494,0.00005029292,0.011976267,0.00018142122,0.00007112107,0.000031830266,0.0000015683064,0.000015062513,0.0000074882328],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992764,0.000005288044,0.00014070196,0.00025385918,0.000089800735,0.000233928],"domain_scores_gemma":[0.9997087,0.000086353895,0.000018846673,0.0000713268,0.000012623801,0.00010212564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014462,0.000113441165,0.00014460689,0.000022406131,0.00020547949,0.00014225286,0.000116234165,0.000029315084,0.000008017684],"category_scores_gemma":[0.00002699081,0.0001049061,0.000018777675,0.00008500279,0.000026714488,0.00022942682,0.000030480787,0.000057755773,0.000001706377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014579905,0.0000053900867,0.000004539689,0.00009557059,0.0000060794723,6.5934563e-7,0.0020665063,0.19852214,0.78743076,0.004163079,0.000047655336,0.007643011],"study_design_scores_gemma":[0.00026878185,0.00008709466,0.000013556101,0.000022196627,0.00000562573,6.8231276e-7,0.0022156427,0.8916319,0.10356985,0.0014998275,0.000498459,0.00018638115],"about_ca_topic_score_codex":0.000002369058,"about_ca_topic_score_gemma":0.0000048154475,"teacher_disagreement_score":0.69310975,"about_ca_system_score_codex":0.0000067978726,"about_ca_system_score_gemma":0.00001505934,"threshold_uncertainty_score":0.42779467},"labels":[],"label_agreement":null},{"id":"W3035773905","doi":"10.3390/app10124123","title":"Understanding Digital Radio Frequency Memory Performance in Countermeasure Design","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Digital radio frequency memory; Field-programmable gate array; Transmitter; Software-defined radio; Computer science; Computer hardware; Electronic engineering; Wideband; Radio frequency; Embedded system; Radar; Electrical engineering; Engineering; Telecommunications; Pulse-Doppler radar; Radar imaging","score_opus":0.11165164925178847,"score_gpt":0.2104511088536028,"score_spread":0.09879945960181433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035773905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42104423,0.00097276963,0.35907555,0.00019343905,0.00032148958,0.00039429823,0.0000032274434,0.0004370311,0.21755797],"genre_scores_gemma":[0.9992688,0.000008292013,0.00058494747,0.00005406267,0.00006230784,0.0000063766806,3.6546348e-7,0.0000096082,0.0000052664377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991809,0.0000059570507,0.00016581289,0.00017637089,0.00024923348,0.00022173548],"domain_scores_gemma":[0.9998295,0.00003314988,0.000022205528,0.000048791928,0.000005311409,0.00006107094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027420776,0.00010004417,0.00012505888,0.00005344709,0.000126166,0.00019334322,0.00021129657,0.000034696935,0.000010759986],"category_scores_gemma":[0.000008604943,0.00008740151,0.0000144977075,0.00042479968,0.00009952077,0.0004253595,0.000010542908,0.000106366926,0.000023118271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029538753,0.000024511744,0.013133586,0.00066705886,0.000033514458,0.00004221508,0.012534909,0.87983435,0.07271632,0.007995982,0.0019573744,0.01103063],"study_design_scores_gemma":[0.0008257661,0.0001666962,0.0013877951,0.00025277032,0.000008668339,0.000023765884,0.0074901637,0.97381985,0.011474252,0.0031540238,0.00046763007,0.0009286168],"about_ca_topic_score_codex":0.0000014743791,"about_ca_topic_score_gemma":0.0000014723655,"teacher_disagreement_score":0.57822454,"about_ca_system_score_codex":0.00008015833,"about_ca_system_score_gemma":0.0000438215,"threshold_uncertainty_score":0.356413},"labels":[],"label_agreement":null},{"id":"W3036044801","doi":"10.3390/app10124154","title":"Cooperative Path Planning for Aerial Recovery of a UAV Swarm Using Genetic Algorithm and Homotopic Approach","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Motion planning; Computer science; Swarm behaviour; Scheduling (production processes); Rendezvous; Real-time computing; Path (computing); Flexibility (engineering); Distributed computing; Mathematical optimization; Artificial intelligence; Engineering; Mathematics; Robot; Aerospace engineering; Spacecraft","score_opus":0.051461689233457224,"score_gpt":0.2816755440561116,"score_spread":0.23021385482265438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036044801","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19213557,0.00011244394,0.8067345,0.000009674584,0.00006803131,0.0002278852,0.000007805449,0.000048741967,0.0006553493],"genre_scores_gemma":[0.30192596,0.0000057220286,0.6979274,0.000034739383,0.00008052286,0.000014475826,0.0000014381142,0.000008289074,0.0000014514856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993624,0.000018237615,0.00016414313,0.00019705608,0.000107566666,0.00015060228],"domain_scores_gemma":[0.999754,0.00008590837,0.00004037171,0.000049683666,0.000021110618,0.000048932347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023772186,0.00008743054,0.0001590741,0.00003868221,0.0001160219,0.000047148493,0.00010823819,0.00003966091,0.0000022637034],"category_scores_gemma":[0.000036575668,0.00008255645,0.000016806054,0.00028857397,0.00011258509,0.0000623414,0.000029979497,0.00004952297,2.3892986e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004553621,0.000004031719,0.000057894344,0.000043402855,0.000008728937,2.0381738e-7,0.0012713522,0.98065996,0.009107068,0.00016410582,0.000017321236,0.008661363],"study_design_scores_gemma":[0.00024092625,0.000055187862,0.000082827646,0.000008850961,0.000009901212,0.0000018015727,0.0004797394,0.989927,0.008953042,0.00009283418,0.00004583722,0.00010207499],"about_ca_topic_score_codex":0.00000252914,"about_ca_topic_score_gemma":2.9461651e-8,"teacher_disagreement_score":0.10979038,"about_ca_system_score_codex":0.00001010988,"about_ca_system_score_gemma":0.000032540924,"threshold_uncertainty_score":0.33665544},"labels":[],"label_agreement":null},{"id":"W3037239939","doi":"10.3390/app10124240","title":"Experimental Evaluation of the Impact of Different Types of Jamming Signals on Commercial GNSS Receivers","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"GNSS positioning and interference","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"GNSS applications; GLONASS; Global Positioning System; Computer science; Jamming; GPS signals; Satellite navigation; SIGNAL (programming language); Dilution of precision; Electronic engineering; Remote sensing; Telecommunications; Assisted GPS; Engineering; Geography; Physics","score_opus":0.06355987633599922,"score_gpt":0.31010504540306066,"score_spread":0.24654516906706145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037239939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98484117,0.000030803134,0.00004930533,0.000016040269,0.000048441372,0.000084470026,0.0000039958472,0.0000080901455,0.014917701],"genre_scores_gemma":[0.99994653,0.0000010065155,0.00002689836,0.0000073414476,0.000010989425,0.0000038662806,5.489414e-7,0.0000021997964,6.44017e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946225,0.000021135495,0.000117375355,0.00006675867,0.00027184444,0.000060625687],"domain_scores_gemma":[0.9998135,0.000037791953,0.000052204057,0.00005435768,0.000025350377,0.000016810423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014385466,0.000050627154,0.00009522714,0.00002219387,0.00003493713,0.00000543541,0.00016108443,0.00001569301,0.000054030286],"category_scores_gemma":[0.000014815083,0.000031634037,0.00004095289,0.00013536082,0.00012677799,0.000026608785,0.000016647458,0.00003722974,0.0000014284634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013500933,0.000027730415,0.00060088333,0.000009016588,0.000015083399,6.602879e-9,0.0034021537,0.15077212,0.84227204,0.0005145771,0.0001071498,0.0022657115],"study_design_scores_gemma":[0.00011192318,0.00020548812,0.011482398,0.00003410662,0.00000922812,5.9953e-8,0.00068931887,0.040541794,0.94680774,0.00008153586,5.167702e-7,0.00003591451],"about_ca_topic_score_codex":0.000025713618,"about_ca_topic_score_gemma":9.2608735e-7,"teacher_disagreement_score":0.110230334,"about_ca_system_score_codex":0.000022588409,"about_ca_system_score_gemma":0.000019478814,"threshold_uncertainty_score":0.12899986},"labels":[],"label_agreement":null},{"id":"W3037533344","doi":"10.3390/app10134488","title":"Ce- and B-Doped Silica Fibers for Monitoring Low-Energy Proton Beams on a Medical Cyclotron","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; TRIUMF","keywords":"Cyclotron; Irradiation; Beam (structure); Materials science; Proton; Dopant; Optics; Fiber; Doping; Radiochemistry; Nuclear physics; Physics; Optoelectronics; Chemistry; Plasma; Composite material","score_opus":0.018499975286619053,"score_gpt":0.26023906013195364,"score_spread":0.24173908484533457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037533344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98728967,0.000017359682,0.0016992008,0.0025397318,0.000107477965,0.00037484983,0.0000035428877,0.00014431444,0.007823869],"genre_scores_gemma":[0.9989954,0.0000038001615,0.00040111734,0.00016699974,0.00019572748,0.0001976301,4.581225e-7,0.000004802092,0.00003406428],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991955,0.0000064129817,0.0001175368,0.00028161242,0.00023403723,0.00016489248],"domain_scores_gemma":[0.99970305,0.000066482404,0.000051798128,0.000068756184,0.000010602917,0.00009929867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011119419,0.000085362946,0.000105332554,0.000039387272,0.00024438725,0.00006762432,0.00017793417,0.000039215898,0.00005139072],"category_scores_gemma":[0.000019751653,0.00006749331,0.000029941919,0.00021039843,0.00017334666,0.000051474253,0.00003515128,0.00007439577,0.0000059752447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019065046,0.00016050901,0.026114712,0.000075661366,0.000086446635,0.0000012712751,0.0019672695,0.004421282,0.025571873,0.22855148,0.003245391,0.70961344],"study_design_scores_gemma":[0.0023643307,0.0010689431,0.002771423,0.00006609736,0.000023396131,0.0000010930447,0.009029644,0.061666768,0.83286375,0.01384117,0.075423345,0.0008800481],"about_ca_topic_score_codex":0.000013763424,"about_ca_topic_score_gemma":3.8589917e-7,"teacher_disagreement_score":0.80729187,"about_ca_system_score_codex":0.000006882954,"about_ca_system_score_gemma":0.00003626676,"threshold_uncertainty_score":0.27522972},"labels":[],"label_agreement":null},{"id":"W3037634510","doi":"10.3390/app10124320","title":"Sliding Mode Control of Laterally Interconnected Air Suspensions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Sprung mass; Air suspension; Sliding mode control; Suspension (topology); Controller (irrigation); Automotive engineering; Engineering; Mode (computer interface); Damper; Ride quality; Acceleration; Control theory (sociology); Computer science; Control (management); Structural engineering; Physics","score_opus":0.018343941094711286,"score_gpt":0.21660492163920123,"score_spread":0.19826098054448993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037634510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77202207,0.00012360726,0.19587961,0.0032216928,0.0001964117,0.00025156583,0.000008348403,0.0004626469,0.027834062],"genre_scores_gemma":[0.9983934,0.0000050853314,0.00083300937,0.0007078442,0.00004202353,0.0000070826186,0.0000011460313,0.0000040285463,0.000006372246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994351,0.000010226824,0.00016841656,0.00012992686,0.000114290015,0.00014201146],"domain_scores_gemma":[0.99975526,0.000093390096,0.000016566057,0.000050433962,0.000017752722,0.00006661073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084440806,0.00007258262,0.00015100607,0.000029389092,0.0000693941,0.000015655398,0.00018060069,0.00003610255,0.00009932806],"category_scores_gemma":[0.000035255372,0.000052167594,0.000031499414,0.00023252789,0.00007957835,0.000076820244,0.000021603037,0.00006506648,0.000027273863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010696252,0.0000053108133,0.0002098003,0.0000073219203,0.000012384021,9.749184e-7,0.00030240222,0.17545757,0.73741084,0.08584577,0.00024670045,0.00049022405],"study_design_scores_gemma":[0.00059320184,0.00009458646,0.0009863062,0.000009357731,0.0000105018935,9.4938866e-7,0.00016772006,0.944507,0.05119699,0.0019345281,0.00034013204,0.00015875128],"about_ca_topic_score_codex":0.0000027925598,"about_ca_topic_score_gemma":0.000004169697,"teacher_disagreement_score":0.7690494,"about_ca_system_score_codex":0.000004250763,"about_ca_system_score_gemma":0.000011025489,"threshold_uncertainty_score":0.21273327},"labels":[],"label_agreement":null},{"id":"W3037721174","doi":"10.3390/app10124276","title":"Comparison of Pain Perception between Clear Aligners and Fixed Appliances: A Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Dental Anxiety and Anesthesia Techniques","field":"Dentistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Visual analogue scale; Meta-analysis; Randomized controlled trial; MEDLINE; Pain perception; Physical therapy; Protocol (science); Alternative medicine; Surgery; Internal medicine","score_opus":0.16841806196376508,"score_gpt":0.4046232416916517,"score_spread":0.23620517972788663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037721174","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007715341,0.9974629,0.00027466362,0.000050628212,0.000004616133,0.0017223378,0.0000369438,0.00006321307,0.00037695275],"genre_scores_gemma":[0.0033627339,0.99494463,0.00097438507,0.00018596138,0.000014337845,0.00039359173,0.00003705748,0.000014058507,0.00007323274],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9970481,0.0004513102,0.0011521726,0.00066129514,0.00050199666,0.00018516195],"domain_scores_gemma":[0.99816346,0.0003878857,0.0010492958,0.00027944872,0.000021976337,0.0000979304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024961948,0.00037598534,0.007318017,0.00015082365,0.0001625129,0.00011960436,0.00053076964,0.00016682957,0.00008807256],"category_scores_gemma":[0.000047773938,0.00023564663,0.0009636296,0.0013374755,0.00050021865,0.00008391769,0.00012181238,0.0001795122,0.000037024627],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.3736364e-7,0.000022513808,0.000042012067,0.9595321,0.015277714,0.0000031391514,0.00013181052,1.1029684e-7,0.0000018219059,0.00061135663,0.00036542484,0.024011163],"study_design_scores_gemma":[0.00003566681,0.000104356455,0.000011680658,0.018394396,0.9317806,0.000021686476,0.00083581416,0.000018090455,0.0000041532794,0.00010936036,0.0481253,0.00055890175],"about_ca_topic_score_codex":0.000021754133,"about_ca_topic_score_gemma":0.000008083774,"teacher_disagreement_score":0.9411377,"about_ca_system_score_codex":0.00001779443,"about_ca_system_score_gemma":0.000029626934,"threshold_uncertainty_score":0.96093905},"labels":[],"label_agreement":null},{"id":"W3038749753","doi":"10.3390/app10134626","title":"Lignin to Materials: A Focused Review on Recent Novel Lignin Applications","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Korea Institute of Science and Technology","keywords":"Lignin; Depolymerization; Materials science; Polymer; Raw material; Nanotechnology; Organic chemistry; Chemistry; Polymer chemistry; Composite material","score_opus":0.06618534128334257,"score_gpt":0.3137604391858629,"score_spread":0.2475750979025203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038749753","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.8497914e-7,0.9580054,0.00007124007,0.00021949818,0.00018984356,0.0018422604,0.00010876023,0.00035652146,0.03920619],"genre_scores_gemma":[0.00001650438,0.99412614,0.0020515677,0.0006297133,0.00038921498,0.0026094425,0.000058837886,0.00006103164,0.000057519832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977892,0.000017100205,0.0006579109,0.0007114054,0.00041665655,0.00040770957],"domain_scores_gemma":[0.999001,0.00011705408,0.0001338829,0.00047762002,0.000021611258,0.000248782],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040533897,0.000502524,0.001332269,0.00010103999,0.00013135548,0.00012542731,0.0010826212,0.00018519863,0.000043841042],"category_scores_gemma":[0.000022035103,0.00039732546,0.00014206515,0.0014639447,0.000081217346,0.00003332949,0.00012570746,0.00025223222,0.0015100548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.835501e-7,0.00003877013,8.482151e-9,0.034746297,0.000059860846,0.000001935258,0.000032286425,0.000005021284,0.0028080712,0.002115731,0.1442339,0.8159577],"study_design_scores_gemma":[0.000046855275,0.000020213598,6.2983925e-9,0.01124132,0.00013931558,0.0000046275163,0.00000766247,8.976285e-7,0.022510836,0.000028938583,0.96555215,0.00044717808],"about_ca_topic_score_codex":8.2044266e-7,"about_ca_topic_score_gemma":3.7825492e-7,"teacher_disagreement_score":0.82131827,"about_ca_system_score_codex":0.00011033486,"about_ca_system_score_gemma":0.00016812894,"threshold_uncertainty_score":0.9998479},"labels":[],"label_agreement":null},{"id":"W3039230910","doi":"10.3390/app10134610","title":"Fiber-Optic Bragg Gratings for Temperature and Pressure Measurements in Isotope Production Targets for Nuclear Medicine","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fiber Bragg grating; Materials science; Optics; Neutron; Optical fiber; Bragg peak; Temperature measurement; Beam (structure); Fiber optic sensor; Optoelectronics; Nuclear physics; Physics; Wavelength","score_opus":0.029011887904743155,"score_gpt":0.24130149269386514,"score_spread":0.21228960478912198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039230910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98093814,0.0017379589,0.0012083963,0.007774559,0.0005647612,0.0039348025,0.000016147382,0.00046576164,0.0033594775],"genre_scores_gemma":[0.9677815,0.000011335217,0.031613924,0.00022910623,0.00018932516,0.00009462861,0.0000039206534,0.000025266343,0.000051005274],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909496,0.0000045584793,0.00016850793,0.00033391465,0.00017753383,0.00022051131],"domain_scores_gemma":[0.9997477,0.000050405215,0.00003347958,0.00007466225,0.000030942083,0.00006283376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235954,0.00012671718,0.00017008901,0.000046750367,0.00013927865,0.000028278086,0.00012913316,0.000054108237,0.000012443668],"category_scores_gemma":[0.00016944174,0.00010626398,0.000014035788,0.00025966053,0.00013559539,0.00014239816,0.000015349236,0.000086483706,0.0000025024897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010138769,0.000023343571,0.00016949313,0.0007244978,0.00004995968,6.332648e-7,0.009220981,0.107784145,0.85997623,0.0037570377,0.011297735,0.0068945503],"study_design_scores_gemma":[0.010369799,0.002615634,0.0029479482,0.00071534695,0.00036938663,0.000037376187,0.014169237,0.43892393,0.28489202,0.013752648,0.22789976,0.0033069241],"about_ca_topic_score_codex":0.0000015285605,"about_ca_topic_score_gemma":0.0000032206196,"teacher_disagreement_score":0.5750842,"about_ca_system_score_codex":0.00001270804,"about_ca_system_score_gemma":0.000007602409,"threshold_uncertainty_score":0.43333194},"labels":[],"label_agreement":null},{"id":"W3040062227","doi":"10.3390/app10134508","title":"Collaborative Use of a Shared System Interface: The Role of User Gaze—Gaze Convergence Index Based on Synchronous Dual-Eyetracking","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gaze; Dyad; Eye tracking; Computer science; Convergence (economics); Human–computer interaction; Index (typography); Construct (python library); Dual (grammatical number); Interface (matter); Task (project management); Artificial intelligence; Psychology; World Wide Web; Social psychology; Engineering; Computer network","score_opus":0.0183423364340466,"score_gpt":0.23970495923794435,"score_spread":0.22136262280389776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040062227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.698005,0.00022485194,0.2930167,0.002565463,0.00034189504,0.0010139464,0.00008767184,0.0005302795,0.0042141993],"genre_scores_gemma":[0.99341655,0.000002506744,0.0063271313,0.00019556715,0.000015273681,0.000030729894,5.843206e-7,0.0000065743297,0.000005111978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809676,0.00008148249,0.00038508244,0.00057155715,0.00056763046,0.000297485],"domain_scores_gemma":[0.9981824,0.0007183238,0.00039670794,0.00045171505,0.00018131705,0.000069509544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047527227,0.0001842235,0.00031692506,0.00013347004,0.0002223937,0.00013673786,0.0014762306,0.00008424542,0.000012293074],"category_scores_gemma":[0.00019636442,0.0001279192,0.000052434338,0.0020203174,0.0008200596,0.00024928938,0.0002590094,0.00020250086,0.000019349085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020459414,0.00058428285,0.086084984,0.00033115566,0.00012717929,0.00003123374,0.012335722,0.07054934,0.28748524,0.51743233,0.0012088283,0.023625085],"study_design_scores_gemma":[0.000567357,0.00085903856,0.023765653,0.00030253598,0.000020865451,0.0000047572594,0.0052310354,0.661256,0.3060631,0.00046923055,0.0010526362,0.00040775604],"about_ca_topic_score_codex":0.000035075213,"about_ca_topic_score_gemma":0.000008483749,"teacher_disagreement_score":0.5907067,"about_ca_system_score_codex":0.000038016737,"about_ca_system_score_gemma":0.0002448982,"threshold_uncertainty_score":0.52163935},"labels":[],"label_agreement":null},{"id":"W3041178285","doi":"10.3390/app10144704","title":"Interlaboratory Empirical Reproducibility Study Based on a GD&amp;T Benchmark","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"National Research Council Canada","keywords":"Benchmark (surveying); Computer science; Metrology; Engineering drawing; Engineering; Mathematics; Statistics","score_opus":0.09920775398610127,"score_gpt":0.327189454600386,"score_spread":0.22798170061428474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041178285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536976,0.000056676905,0.017129736,0.0006117807,0.00016538906,0.00056919246,0.0000025502015,0.00092854403,0.026838513],"genre_scores_gemma":[0.9931316,0.0000011986943,0.0055616824,0.0011490342,0.00007126489,0.0000705531,0.0000013496038,0.000008843302,0.0000044762464],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985684,0.00003394396,0.00018352359,0.0007026863,0.00029778373,0.00021366897],"domain_scores_gemma":[0.99934393,0.0000631441,0.000025567435,0.0004532677,0.00002429019,0.0000898023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253869,0.00013263186,0.00016875798,0.00006815252,0.00010242693,0.00002260762,0.00029118825,0.000041508458,0.000054644304],"category_scores_gemma":[0.0002126745,0.00011009924,0.000026503412,0.00062376115,0.00016448807,0.0000648471,0.000030829753,0.00018275896,0.000031359068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005303798,0.0017375555,0.48688668,0.0001814278,0.00011438439,0.000023301513,0.009730832,0.062491044,0.34074914,0.0015984934,0.05412886,0.04182789],"study_design_scores_gemma":[0.0060850936,0.010179819,0.18527947,0.00010900438,0.00023978583,0.0000026529392,0.008514707,0.06468048,0.5029664,0.009162699,0.20818414,0.0045957193],"about_ca_topic_score_codex":8.008321e-7,"about_ca_topic_score_gemma":0.000008010479,"teacher_disagreement_score":0.3016072,"about_ca_system_score_codex":0.00003388043,"about_ca_system_score_gemma":0.0000345289,"threshold_uncertainty_score":0.44897166},"labels":[],"label_agreement":null},{"id":"W3041180364","doi":"10.3390/app10144691","title":"Platelet Rich STROMA, the Combination of PRP and tSVF and Its Potential Effect on Osteoarthritis of the Knee","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Periodontal Regeneration and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Arthrex","keywords":"Medicine; Osteoarthritis; WOMAC; Platelet-rich plasma; Visual analogue scale; Surgery; Internal medicine; Platelet; Pathology","score_opus":0.012709902120713806,"score_gpt":0.23987581877600697,"score_spread":0.22716591665529318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041180364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682397,0.000222,0.0000020016464,0.0010009087,0.000025575508,0.00032560964,0.0000040616414,0.000003846662,0.0015920538],"genre_scores_gemma":[0.9997666,0.000010244781,0.000014563379,0.00015814771,0.000010310125,0.000008530143,0.0000014673482,0.0000015098282,0.000028618995],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995622,0.000019391828,0.00007208892,0.00009982974,0.0001961113,0.000050394305],"domain_scores_gemma":[0.9998287,0.0000441354,0.000045365206,0.000043264135,0.00001149834,0.000027025113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009289388,0.000044567598,0.00008916137,0.000013227151,0.00011105827,0.0000109342445,0.000040773248,0.000016616243,0.0000069673692],"category_scores_gemma":[0.000026672356,0.000021284586,0.000013017363,0.00011995103,0.00017894269,0.000022326974,0.000023855206,0.00003221894,0.0000013030218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038670737,0.00016527317,0.031504024,0.00013121338,0.000064327316,0.000005387035,0.0024877086,0.0000469172,0.8776641,0.01995656,0.00013515062,0.06745262],"study_design_scores_gemma":[0.003960096,0.003905602,0.2914039,0.00004625301,0.000051489762,0.000017333248,0.0002973393,0.00050169654,0.69959146,0.00010755078,0.000060873404,0.000056424127],"about_ca_topic_score_codex":0.000004138494,"about_ca_topic_score_gemma":0.000005659534,"teacher_disagreement_score":0.25989988,"about_ca_system_score_codex":0.000003047374,"about_ca_system_score_gemma":0.000020413132,"threshold_uncertainty_score":0.08679602},"labels":[],"label_agreement":null},{"id":"W3044656340","doi":"10.3390/app10144988","title":"Smart Power Electronics–Based Solutions to Interface Solar-Photovoltaics (PV), Smart Grid, and Electrified Transportation: State-of-the-Art and Future Prospects","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Photovoltaic system; Photovoltaics; Electrical engineering; Power electronics; Engineering; Converters; Smart grid; Greenhouse gas; Automotive engineering; Electricity; Voltage","score_opus":0.01241423938738575,"score_gpt":0.23413910179091776,"score_spread":0.221724862403532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044656340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9398884,0.0011246066,0.048899863,0.0068907426,0.00021314349,0.0013170666,0.000046223035,0.00046290082,0.0011570118],"genre_scores_gemma":[0.9964323,0.00009152239,0.0031418225,0.00021614581,0.00002286151,0.00006422177,0.0000024812045,0.00001500266,0.000013641445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987418,0.000009168887,0.00018841865,0.000326004,0.000290165,0.00044446232],"domain_scores_gemma":[0.9996211,0.000050543622,0.00003264184,0.00016570647,0.00003088175,0.00009912467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016404921,0.00015085963,0.00016486508,0.00008149485,0.00021583117,0.000052829262,0.00033845956,0.000058538822,0.000012182532],"category_scores_gemma":[0.00002298083,0.00012303716,0.000023100662,0.0009967828,0.0003103664,0.00011787923,0.000042501393,0.00030770007,0.0000056860117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010262622,0.000039260056,0.0028347496,0.00016899944,0.000044271506,0.000003332117,0.001648012,0.016090235,0.95624006,0.00434995,0.0052085393,0.013269964],"study_design_scores_gemma":[0.0005200504,0.00045632676,0.0059565315,0.000022934992,0.0000139480235,0.000002810497,0.0005339327,0.011110503,0.9219464,0.0016691629,0.05735022,0.00041714712],"about_ca_topic_score_codex":0.0000025555883,"about_ca_topic_score_gemma":0.00012409726,"teacher_disagreement_score":0.056543857,"about_ca_system_score_codex":0.000037599108,"about_ca_system_score_gemma":0.000072423994,"threshold_uncertainty_score":0.5017309},"labels":[],"label_agreement":null},{"id":"W3045889046","doi":"10.3390/app10155125","title":"Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Grid; Distribution grid; Distributed generation; Computer science; Software; Reliability engineering; Automotive engineering; Engineering; Electrical engineering; Renewable energy","score_opus":0.01127158894786722,"score_gpt":0.22665873559236172,"score_spread":0.2153871466444945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045889046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9522906,0.00008074888,0.047144007,0.00003239385,0.00001037761,0.0003384223,0.000019086536,0.000012857274,0.000071488466],"genre_scores_gemma":[0.99979144,0.000021774982,0.0001362639,0.0000059330055,0.000019476103,0.00001345818,0.0000070218643,0.000004571672,6.5472264e-8],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927264,0.00008086027,0.00014599283,0.00012685255,0.00023642901,0.00013723939],"domain_scores_gemma":[0.9995138,0.00023554373,0.00009529036,0.00009118301,0.000039514798,0.00002469284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039819287,0.00009989123,0.00015800718,0.00002677906,0.000097674565,0.000016066264,0.00017894545,0.00003389322,0.0000021691883],"category_scores_gemma":[0.000021960426,0.00004682369,0.00003401814,0.0013239473,0.00009679171,0.000043512504,0.000013292067,0.000113236594,7.0840905e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021330752,0.00001086342,0.0038847835,0.000026586555,0.000026111484,4.74167e-8,0.000025674095,0.21183416,0.77939516,0.0038504014,0.00007351422,0.00085137703],"study_design_scores_gemma":[0.00011447184,0.00040831714,0.23232217,0.00001012353,0.000012710402,7.955144e-7,0.000009065113,0.22165418,0.5452143,0.00020872115,9.3997147e-7,0.000044206077],"about_ca_topic_score_codex":0.000013022602,"about_ca_topic_score_gemma":3.185333e-7,"teacher_disagreement_score":0.23418084,"about_ca_system_score_codex":0.0000450965,"about_ca_system_score_gemma":0.00008479494,"threshold_uncertainty_score":0.19094147},"labels":[],"label_agreement":null},{"id":"W3046565894","doi":"10.3390/app10155239","title":"The Hemodynamics of Aneurysms Treated with Flow-Diverting Stents Considering both Stent and Aneurysm/Artery Geometries","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"Agencia Estatal de Investigación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina; Saskatchewan Health Research Foundation","keywords":"Aneurysm; Shear stress; Stent; Hemodynamics; Blood flow; Medicine; Thrombosis; Artery; Radiology; Materials science; Cardiology; Internal medicine; Composite material","score_opus":0.02708381442987806,"score_gpt":0.23296541235085869,"score_spread":0.20588159792098062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046565894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950807,0.0001256673,0.0001765756,0.0019163477,0.000014147941,0.0003645967,0.0000066358675,0.000049179776,0.0022661376],"genre_scores_gemma":[0.9984601,0.000030864256,0.0010398288,0.0003705421,0.000025128338,0.00001944173,0.0000045969005,0.0000075347657,0.00004197755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899244,0.000011275216,0.00020596133,0.00028252864,0.00029048565,0.00021728069],"domain_scores_gemma":[0.99945956,0.00015800314,0.00010165713,0.00013089941,0.000049786217,0.00010009921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010855019,0.00012832758,0.00019844832,0.000050947805,0.00048466498,0.00006453313,0.0001218439,0.000025234756,0.000006968785],"category_scores_gemma":[0.000021859145,0.000072803494,0.000027807688,0.0005085121,0.00062348216,0.000064758344,0.000052911073,0.000080907485,0.0000036874787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022457086,0.0006773105,0.54162616,0.0004701068,0.0004958062,0.00046312605,0.0069908067,0.001475775,0.3644109,0.020659463,0.00028817914,0.060196653],"study_design_scores_gemma":[0.0140652675,0.012372823,0.6224998,0.00040323785,0.001700644,0.0038533397,0.03270856,0.17291194,0.13366275,0.0024921547,0.0012735291,0.0020559486],"about_ca_topic_score_codex":0.000018151242,"about_ca_topic_score_gemma":0.00001014915,"teacher_disagreement_score":0.23074816,"about_ca_system_score_codex":0.000010626572,"about_ca_system_score_gemma":0.0000481398,"threshold_uncertainty_score":0.37277004},"labels":[],"label_agreement":null},{"id":"W3047004027","doi":"10.3390/app10155311","title":"Comprehensive Study of Strata Movement Behavior in Mining a Longwall Top Coal Caving Panel of a Composite Coal Seam with Partings","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Overburden; Longwall mining; Geology; Mining engineering; Coal; Coal mining; Extraction (chemistry); Geotechnical engineering; Petroleum engineering; Engineering","score_opus":0.05811426834388725,"score_gpt":0.2548411997586587,"score_spread":0.19672693141477146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047004027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773246,0.000036093483,0.0015709546,0.000011433751,0.000026115202,0.00038669503,0.0000044766543,0.000030148685,0.00020162178],"genre_scores_gemma":[0.99833065,0.0000024631927,0.0015700097,0.000040986062,0.000010261136,0.000034227298,0.0000014512879,0.000009326175,6.056891e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989062,0.000009527326,0.00032096874,0.00023169255,0.0003220242,0.00020958207],"domain_scores_gemma":[0.9996939,0.000037774087,0.00008349355,0.00009527634,0.00002926749,0.000060345137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114351235,0.00011902994,0.00025441666,0.00006150049,0.000059532184,0.00002266014,0.0002234122,0.000024100776,0.000002678752],"category_scores_gemma":[0.0000020968007,0.00010522436,0.00001677375,0.00025763342,0.00003972453,0.00006125756,0.00008197177,0.00008910757,3.7453873e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003559176,0.00016585502,0.017376915,0.0000851005,0.000021716003,0.000011336182,0.017884951,0.594086,0.3696904,0.00014823447,0.000004672204,0.0004892657],"study_design_scores_gemma":[0.002541851,0.0019456057,0.02103353,0.00016334566,0.00009352604,0.0000028569505,0.103110135,0.7035799,0.16690984,0.0000517954,0.000010505917,0.0005571239],"about_ca_topic_score_codex":0.00014800348,"about_ca_topic_score_gemma":0.000106986736,"teacher_disagreement_score":0.20278053,"about_ca_system_score_codex":0.000012782803,"about_ca_system_score_gemma":0.000025949794,"threshold_uncertainty_score":0.4290925},"labels":[],"label_agreement":null},{"id":"W3047062374","doi":"10.3390/app10155370","title":"Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Explant culture; Shoot; Biology; Regeneration (biology); Zeatin; Botany; Cytokinin; In vitro; Cell biology; Auxin; Genetics; Gene","score_opus":0.0345662539849626,"score_gpt":0.26376624376354985,"score_spread":0.22919998977858724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047062374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95166177,0.0005572277,0.047141783,0.00027030872,0.000025379422,0.0002980333,0.0000027866708,0.0000027595274,0.000039980463],"genre_scores_gemma":[0.99752957,0.0000175246,0.0020539835,0.00009703454,0.00019652839,0.000043430453,0.000056727287,0.000002820161,0.00000239932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943894,0.000012062745,0.0001506256,0.00022715509,0.00007064981,0.00010058044],"domain_scores_gemma":[0.99988276,0.0000053992053,0.000037060465,0.00003994384,0.0000142194485,0.000020597461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019257906,0.00005368489,0.00007926872,0.000018534458,0.00006722269,0.000015042506,0.00006409001,0.000050897143,2.1280633e-7],"category_scores_gemma":[0.000007297537,0.000046691028,0.000010742233,0.000109216395,0.000029765148,0.000004898091,0.00002175542,0.000028876637,1.7083913e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056008757,0.000007584157,0.00031418982,0.000005447602,0.000001261,6.767938e-8,0.00013679458,0.18445437,0.81074214,0.00034905726,0.000015442598,0.0039176424],"study_design_scores_gemma":[0.00015995148,0.000051143877,0.00010480124,0.0000019459958,0.0000033259605,5.5681977e-7,0.00017524426,0.48779684,0.51141924,0.00015926363,0.00006495387,0.00006272109],"about_ca_topic_score_codex":0.000043087755,"about_ca_topic_score_gemma":0.001022092,"teacher_disagreement_score":0.30334246,"about_ca_system_score_codex":0.00000454283,"about_ca_system_score_gemma":0.000029719764,"threshold_uncertainty_score":0.19040048},"labels":[],"label_agreement":null},{"id":"W3048870524","doi":"10.3390/app10165583","title":"Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Scholarship Council; University of Toronto; National University of Defense Technology; National Natural Science Foundation of China","keywords":"Hyperspectral imaging; Artificial intelligence; Image resolution; Pattern recognition (psychology); Computer science; Spatial analysis; Regularization (linguistics); Computer vision; Cluster analysis; Remote sensing; Geography","score_opus":0.013824545329672729,"score_gpt":0.21676335398695076,"score_spread":0.20293880865727804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048870524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016151933,0.000013764256,0.9627668,0.00048624325,0.000087582215,0.00022650014,0.000004991694,0.0009963915,0.019265795],"genre_scores_gemma":[0.8476789,0.0000041550793,0.15185651,0.00032116877,0.00009727191,0.0000132483765,0.000009993843,0.000013422432,0.0000053550475],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989962,0.000014176358,0.00013652624,0.00029937585,0.00031149437,0.00024224576],"domain_scores_gemma":[0.99971694,0.000035470624,0.000026687261,0.00012504519,0.00001661707,0.00007923441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016006445,0.00013153716,0.00011573884,0.000079002115,0.00020996253,0.000065259985,0.00023529965,0.000049117538,0.00006934902],"category_scores_gemma":[0.000039348917,0.00012965505,0.000031030148,0.00046223798,0.00017201915,0.00021028909,0.000033584623,0.00013310861,0.000036634356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020972804,0.00002252761,0.00006992587,0.00002181318,0.000002375929,0.000003729357,0.00021138831,0.04393017,0.94078475,0.007218268,0.0007580899,0.006955989],"study_design_scores_gemma":[0.0001856,0.00009972237,0.00050049677,0.000011051639,0.0000049953323,5.7003956e-7,0.00009338197,0.6613065,0.33575234,0.001300046,0.0005332799,0.00021199754],"about_ca_topic_score_codex":0.000010322107,"about_ca_topic_score_gemma":0.0000050993967,"teacher_disagreement_score":0.83152694,"about_ca_system_score_codex":0.000057479567,"about_ca_system_score_gemma":0.000015200169,"threshold_uncertainty_score":0.528718},"labels":[],"label_agreement":null},{"id":"W3049227448","doi":"10.3390/app10165631","title":"Improvement of Heterogeneous Transfer Learning Efficiency by Using Hebbian Learning Principle","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Hebbian theory; Transfer of learning; Leabra; Computer science; Artificial intelligence; Competitive learning; Machine learning; Discriminative model; Unsupervised learning; Multi-task learning; Learning rule; Convolutional neural network; Inductive transfer; Pattern recognition (psychology); Artificial neural network; Task (project management); Robot learning; Wake-sleep algorithm","score_opus":0.031925447075101324,"score_gpt":0.26086827127573653,"score_spread":0.22894282420063522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049227448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47704664,0.00008289419,0.51928633,0.00021950665,0.000060746173,0.00016214642,4.811046e-7,0.00014017346,0.0030010538],"genre_scores_gemma":[0.9904954,0.000007989281,0.008952318,0.00044584536,0.000027119515,0.0000073234637,0.0000013601275,0.000010241953,0.000052408966],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978353,0.00006634468,0.0003760489,0.00062144356,0.0006643756,0.00043653345],"domain_scores_gemma":[0.9994037,0.00009056862,0.00013599549,0.00014725435,0.00004314756,0.00017933024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067899236,0.0001733104,0.00022636345,0.00008975657,0.0006033274,0.00020064077,0.0009237985,0.000049903352,0.000044862307],"category_scores_gemma":[0.00005800094,0.00016135955,0.000072536925,0.0009660912,0.00023871871,0.0002551472,0.00018700406,0.00027616275,0.000022869897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009262481,0.000047006888,0.000627132,0.000027059692,0.0000114894565,0.0000031430263,0.005345508,0.3441155,0.6065166,0.00961568,0.000010056974,0.033671565],"study_design_scores_gemma":[0.00051451,0.00064487243,0.000058886588,0.000016339367,0.000008910598,0.0000055207847,0.0011898638,0.8576915,0.13052312,0.00010397086,0.00886441,0.00037805407],"about_ca_topic_score_codex":0.00001690821,"about_ca_topic_score_gemma":0.0000011019439,"teacher_disagreement_score":0.51357603,"about_ca_system_score_codex":0.000026829393,"about_ca_system_score_gemma":0.00011333528,"threshold_uncertainty_score":0.6580052},"labels":[],"label_agreement":null},{"id":"W3049375652","doi":"10.3390/app10165633","title":"Nano-Scale Drinking Water Treatment Residuals Affect Arsenic Fractionation and Speciation in Biosolids-Amended Agricultural Soil","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Science and Technology Development Fund","keywords":"Biosolids; Environmental chemistry; Arsenic; Soil water; Bioavailability; Adsorption; Fractionation; Chemistry; Sorption; Genetic algorithm; Environmental science; Environmental engineering; Soil science; Ecology; Chromatography","score_opus":0.014980807263762379,"score_gpt":0.22780194238836585,"score_spread":0.21282113512460346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049375652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795853,0.0000066864777,0.00009969084,0.003249497,0.0000457102,0.00025707943,8.1317796e-7,0.00003273064,0.016722513],"genre_scores_gemma":[0.99896985,0.000017639362,0.000385777,0.00035672306,0.000045957942,0.00003050201,0.00001388712,0.0000029594362,0.00017670187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902874,0.00003379585,0.00015772568,0.0003288162,0.00027818285,0.00017274292],"domain_scores_gemma":[0.99979335,0.00003952252,0.000059164217,0.000046320325,0.000004199056,0.000057426387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022002182,0.000096901385,0.00009281918,0.000036661284,0.00021869122,0.000060590544,0.00007521739,0.00003993144,0.0002491078],"category_scores_gemma":[0.000010456046,0.00006441906,0.000019178398,0.00025229875,0.0001310056,0.00038071658,0.000050080722,0.000042848496,0.00013711819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008061011,0.00003455351,0.009625429,0.0000020047116,0.0000029768523,6.727458e-7,0.0055176085,0.0009244188,0.9681847,0.0011916416,0.00012377868,0.01438412],"study_design_scores_gemma":[0.0008522059,0.00014180756,0.34779745,0.000008211666,0.000012513263,0.000003902972,0.003107129,0.0024654781,0.6418674,0.0010570154,0.0024251672,0.00026174993],"about_ca_topic_score_codex":0.00006405655,"about_ca_topic_score_gemma":0.0006412214,"teacher_disagreement_score":0.33817202,"about_ca_system_score_codex":0.00015544854,"about_ca_system_score_gemma":0.000008496407,"threshold_uncertainty_score":0.27275556},"labels":[],"label_agreement":null},{"id":"W3049637447","doi":"10.3390/app10165642","title":"Follow-Up Study Evaluating the Long Term Outcome of ChondroMimetic in the Treatment of Osteochondral Defects in the Knee","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; Western University","funders":"","keywords":"Medicine; Cartilage; Magnetic resonance imaging; Osteoarthritis; FEMORAL CONDYLE; Scaffold; Surgery; Cartilage damage; Articular cartilage; Radiology; Biomedical engineering; Anatomy; Pathology","score_opus":0.09556815856018851,"score_gpt":0.3573424151712087,"score_spread":0.26177425661102016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049637447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951292,0.00034079183,0.0000017931666,0.00061593746,0.00008436404,0.0024717343,0.0000017142089,0.0000070465,0.0013473721],"genre_scores_gemma":[0.99934566,0.000005915771,0.00009289427,0.000256319,0.00003328537,0.00022847937,0.000002098216,0.0000051936872,0.000030141191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838257,0.00016820102,0.00034972033,0.0002531199,0.00063000474,0.00021637997],"domain_scores_gemma":[0.9991342,0.00042987333,0.00012396001,0.00026791525,0.00001547635,0.000028579347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009985018,0.00013842194,0.0003173389,0.00006853244,0.00011616706,0.00002512395,0.0003155015,0.00002706645,0.000017531547],"category_scores_gemma":[0.000062027546,0.000056126242,0.000085946594,0.0007241267,0.00019695504,0.000039934555,0.000025836502,0.00008633603,0.0000068188224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034171788,0.0014935185,0.80704725,0.000039278697,0.000033917066,0.000061327606,0.10965264,0.00002929882,0.040851362,0.0012009847,0.0000066083385,0.039242104],"study_design_scores_gemma":[0.027565632,0.07660541,0.7261003,0.00014100446,0.00076712226,0.000038178936,0.13710195,0.0002145473,0.030380713,0.0007578571,0.000018686631,0.0003085774],"about_ca_topic_score_codex":0.000063162464,"about_ca_topic_score_gemma":0.00048070986,"teacher_disagreement_score":0.08094692,"about_ca_system_score_codex":0.000024583305,"about_ca_system_score_gemma":0.00006371542,"threshold_uncertainty_score":0.22887617},"labels":[],"label_agreement":null},{"id":"W3057424331","doi":"10.3390/app10175767","title":"Screening of Bacterial Endophytes Able to Promote Plant Growth and Increase Salinity Tolerance","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sorghum; Biology; Bacterial wilt; Salinity; Pseudomonas; Endophyte; Inoculation; Horticulture; Crop; Botany; Bacteria; Agronomy","score_opus":0.02902192809403352,"score_gpt":0.21806795727223222,"score_spread":0.18904602917819868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3057424331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966098,0.000021333735,0.00001093342,0.0013374933,0.000049937717,0.00014339118,0.00014623681,0.000025493764,0.0016553977],"genre_scores_gemma":[0.99799067,0.0000095989035,0.0014025961,0.00045754432,0.00010929839,0.0000072044963,0.000015887186,3.685174e-7,0.0000068227437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992874,0.00002473405,0.00015868444,0.0002300759,0.00012717662,0.00017190538],"domain_scores_gemma":[0.9996339,0.00013359274,0.000071263195,0.000025198284,0.000019595667,0.00011643316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018776508,0.00008606168,0.00014825951,0.0000099359495,0.0002808539,0.00007715251,0.0002452296,0.000027534215,0.00012311206],"category_scores_gemma":[0.00006490768,0.00003567689,0.000022542596,0.0003250901,0.00012063547,0.00013016074,0.00011456969,0.000073407085,0.0000071937197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007972229,0.00002268133,0.0012238165,0.00000529326,0.0000029084586,7.099312e-7,0.00017154065,0.000004509465,0.99273413,0.0002990987,0.00025573443,0.0051998305],"study_design_scores_gemma":[0.0003017462,0.0008460431,0.07484064,0.00006512614,0.000013261263,0.000019501194,0.0011743194,0.00039242307,0.90821433,0.00044666903,0.01330615,0.00037977545],"about_ca_topic_score_codex":0.0007486973,"about_ca_topic_score_gemma":0.00011205368,"teacher_disagreement_score":0.08451981,"about_ca_system_score_codex":0.000002243703,"about_ca_system_score_gemma":0.000008481943,"threshold_uncertainty_score":0.21601297},"labels":[],"label_agreement":null},{"id":"W3066318106","doi":"10.3390/app10175768","title":"Thermal Conductivity and Stability of Novel Aqueous Graphene Oxide–Al2O3 Hybrid Nanofluids for Cold Energy Storage","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"Henan University; National Natural Science Foundation of China; McGill University","keywords":"Nanofluid; Thermal conductivity; Materials science; Graphene; Dispersant; Chemical engineering; Thermal energy storage; Supercooling; Heat transfer; Composite material; Nanoparticle; Nanotechnology; Thermodynamics; Dispersion (optics)","score_opus":0.07508223453987153,"score_gpt":0.26725614807071574,"score_spread":0.1921739135308442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3066318106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98838973,0.0001999774,0.010205554,0.0000677214,0.000074465235,0.00024027177,0.00016000193,0.0000759234,0.00058637955],"genre_scores_gemma":[0.9987933,0.000016098054,0.0010005293,0.00005227946,0.000047067537,0.00007453006,0.0000029265886,0.0000120950235,0.0000011501656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990465,0.00001561111,0.00016071122,0.0002708852,0.00023896543,0.0002673462],"domain_scores_gemma":[0.99956894,0.00014318424,0.000027885275,0.00011949562,0.00003276869,0.00010774002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043892342,0.00011458211,0.00021300752,0.000047537134,0.000093871604,0.000044147935,0.00023513402,0.000031847056,0.00002712451],"category_scores_gemma":[0.000036929865,0.000101685466,0.00002723428,0.0002311159,0.0004423743,0.00011780837,0.00007897201,0.00004462482,6.1589066e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021326603,0.000025398864,0.000025780706,0.00009136034,0.0000094373645,5.7514717e-7,0.0001775068,0.0004190783,0.995415,0.0033288351,0.000060739567,0.00042499625],"study_design_scores_gemma":[0.0003294839,0.000073799485,0.000057937177,0.0000034643458,0.0000041558515,6.9872067e-7,0.00011266751,0.019046973,0.9797675,0.00014419782,0.00034665738,0.00011245222],"about_ca_topic_score_codex":0.00005386696,"about_ca_topic_score_gemma":0.0000131670995,"teacher_disagreement_score":0.018627895,"about_ca_system_score_codex":0.000017264576,"about_ca_system_score_gemma":0.000036631824,"threshold_uncertainty_score":0.41466132},"labels":[],"label_agreement":null},{"id":"W3080664025","doi":"10.3390/app10175811","title":"A Systematic Review of Defensive and Offensive Cybersecurity with Machine Learning","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Offensive; Artificial intelligence; Machine learning; Computer science; Computer security; Engineering; Operations research","score_opus":0.020109257188634027,"score_gpt":0.25689991199103007,"score_spread":0.23679065480239606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080664025","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.229985e-7,0.9952204,0.0016558658,0.00007069667,0.00006888535,0.0013581979,0.000002739399,0.00006908305,0.0015532785],"genre_scores_gemma":[0.00004259042,0.9974212,0.0020573677,0.00034056895,0.000027804683,0.00008996189,0.0000028843715,0.000009138774,0.000008501541],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9975798,0.00029143953,0.0006523244,0.00068743085,0.00056088093,0.00022812617],"domain_scores_gemma":[0.99798244,0.00045795206,0.0010253269,0.00032698264,0.00010056411,0.00010675726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093706645,0.00032017176,0.0020781376,0.00013550116,0.00026915444,0.00010951027,0.00087454816,0.00009725745,0.0000074278105],"category_scores_gemma":[0.00018085033,0.00019837027,0.00015070084,0.0013535911,0.00035426495,0.00014211147,0.00039543145,0.00042279196,0.000021299116],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001129044,0.000008128083,7.8609716e-8,0.9157179,0.00005617752,0.000013059283,0.00026580086,0.0000010093381,2.6349994e-7,0.01959153,0.00005879236,0.06428614],"study_design_scores_gemma":[0.000095967596,0.00033860962,1.0984752e-7,0.8176675,0.0008167469,0.0003750853,0.000055724417,0.0009489391,0.0000054398347,0.00045877896,0.17875667,0.00048046358],"about_ca_topic_score_codex":0.000017245697,"about_ca_topic_score_gemma":0.000006454056,"teacher_disagreement_score":0.17869788,"about_ca_system_score_codex":0.000025370775,"about_ca_system_score_gemma":0.00020256164,"threshold_uncertainty_score":0.8089305},"labels":[],"label_agreement":null},{"id":"W3080812861","doi":"10.3390/app10175791","title":"A New “Doctor and Patient” Optimization Algorithm: An Application to Energy Commitment Problem","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmark (surveying); Mathematical optimization; Optimization problem; Optimization algorithm; Computer science; Energy (signal processing); Algorithm; Medicine; Mathematics; Statistics","score_opus":0.024152006813521264,"score_gpt":0.2714993904695966,"score_spread":0.24734738365607534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080812861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000065930355,0.000035349964,0.99217695,0.0045957468,0.000044343975,0.0004819581,0.0000027510791,0.00015391568,0.0024430337],"genre_scores_gemma":[0.018066458,0.000016614717,0.9791973,0.00247388,0.0000650404,0.00011645814,0.0000074915224,0.000008368413,0.000048384725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978855,0.00006115308,0.0002639238,0.0007812835,0.0007057073,0.00030238106],"domain_scores_gemma":[0.9988579,0.00005665762,0.00008945058,0.00030293583,0.00008974593,0.00060331175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026237025,0.00014640919,0.00015395107,0.00013552066,0.00030925954,0.0004900436,0.00095164427,0.000040446816,0.000043793312],"category_scores_gemma":[0.0000266454,0.00013037947,0.00001530813,0.0015581163,0.00008411582,0.00046390042,0.00040443038,0.0000659265,0.000033048058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004312924,0.000038647257,0.000011761872,0.0000042958723,0.0000047686344,9.1358703e-7,0.0014539977,0.130181,0.00045219358,0.08394158,0.0012892543,0.7826173],"study_design_scores_gemma":[0.00018482169,0.00029853953,0.000018679837,0.0000024988115,0.0000024959998,0.0000020151024,0.000101856,0.9876383,0.0013232519,0.001299406,0.0089551695,0.00017295641],"about_ca_topic_score_codex":0.00007172586,"about_ca_topic_score_gemma":0.000003996895,"teacher_disagreement_score":0.8574573,"about_ca_system_score_codex":0.00002784112,"about_ca_system_score_gemma":0.00016135762,"threshold_uncertainty_score":0.53167206},"labels":[],"label_agreement":null},{"id":"W3080813269","doi":"10.3390/app10175918","title":"Peak Fitting Applied to Fourier Transform Infrared and Raman Spectroscopic Analysis of Proteins","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":518,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raman spectroscopy; Amide; Chemistry; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Protein secondary structure; Infrared; Globular protein; Infrared spectroscopy; Crystallography; Chromatography; Physics; Optics; Organic chemistry; Biochemistry","score_opus":0.03209471575948786,"score_gpt":0.23614097550557686,"score_spread":0.204046259746089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080813269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659957,0.000051401155,0.0002445017,0.0015847873,0.000021021493,0.000908276,0.00001634951,0.00006327856,0.031114668],"genre_scores_gemma":[0.997449,0.0000027772924,0.0017380177,0.00057643873,0.00009658114,0.00009490345,0.000005932149,8.88938e-7,0.00003549681],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835104,0.00002401752,0.0003377143,0.00051145797,0.00045605353,0.00031973873],"domain_scores_gemma":[0.99950224,0.000093792034,0.00012680529,0.00006882389,0.000024240144,0.00018407563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052155583,0.00015059693,0.00037943156,0.000052276937,0.00029054924,0.00010174293,0.0004941106,0.00006343062,0.00014003081],"category_scores_gemma":[0.00003796151,0.000063470456,0.0000740013,0.0023924285,0.00021388379,0.00007564575,0.00010321845,0.00008866552,0.00001596413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030259771,0.000024124975,0.0016265933,0.000018745679,0.00007389193,5.419333e-7,0.0015114561,0.0000736211,0.96428615,0.0050478904,0.00008334412,0.027223364],"study_design_scores_gemma":[0.0010156496,0.0032011436,0.14623645,0.000076368015,0.00062067155,0.0000024647209,0.014593874,0.005653619,0.7940261,0.008295855,0.024480738,0.0017971223],"about_ca_topic_score_codex":0.00007520706,"about_ca_topic_score_gemma":0.00016674881,"teacher_disagreement_score":0.17026012,"about_ca_system_score_codex":0.000012151967,"about_ca_system_score_gemma":0.000014485814,"threshold_uncertainty_score":0.258825},"labels":[],"label_agreement":null},{"id":"W3081059294","doi":"10.3390/app10175907","title":"An Auditory-Perceptual and Pupillometric Study of Vocal Strain and Listening Effort in Adductor Spasmodic Dysphonia","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; McMaster University; University of Toronto; Western University","funders":"","keywords":"Active listening; Pupillometry; Psychology; Audiology; Perception; Pupillary response; Stimulus (psychology); Arousal; Cognitive psychology; Communication; Pupil; Social psychology; Medicine; Neuroscience","score_opus":0.029947941092474284,"score_gpt":0.2942829031099677,"score_spread":0.2643349620174934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081059294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982323,0.00011053408,0.00001299292,0.00028399887,0.000037676742,0.0003707524,0.0000026809805,0.000019737325,0.0009293001],"genre_scores_gemma":[0.9991943,0.000015877013,0.00044441814,0.0002519354,0.00006812683,0.000009685355,0.0000018955683,0.000005847917,0.000007883641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885887,0.000016689688,0.00020310476,0.00037111645,0.00035928775,0.00019091358],"domain_scores_gemma":[0.9996356,0.000046347046,0.000049622697,0.00009073998,0.000015683214,0.00016202281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035678066,0.00010360576,0.0002602311,0.00021569431,0.000087796376,0.000029712368,0.00011341268,0.000043493095,0.000035008517],"category_scores_gemma":[0.00005578814,0.00008263554,0.000012153359,0.0009597253,0.00036644033,0.000109626664,0.00004365238,0.00012656255,0.0000022823217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022861341,0.0008697521,0.76476794,0.00014654905,0.00003929768,0.000039600367,0.048154328,0.00008670917,0.11926224,0.00041303557,0.00021497738,0.06577694],"study_design_scores_gemma":[0.0021416428,0.0028714733,0.906956,0.000015824653,0.000036661622,0.000006172645,0.08632436,0.0010464339,0.00030335327,0.000052288313,0.00009887162,0.00014688582],"about_ca_topic_score_codex":0.00011491847,"about_ca_topic_score_gemma":0.00015628626,"teacher_disagreement_score":0.14218809,"about_ca_system_score_codex":0.000009229519,"about_ca_system_score_gemma":0.000066889814,"threshold_uncertainty_score":0.33697793},"labels":[],"label_agreement":null},{"id":"W3081170579","doi":"10.3390/app10175862","title":"Energy Commitment for a Power System Supplied by Multiple Energy Carriers System using Following Optimization Algorithm","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Energy (signal processing); Computer science; Mathematics; Statistics","score_opus":0.010857655904558384,"score_gpt":0.19657754816499837,"score_spread":0.18571989226043997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081170579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001264567,0.0002258461,0.9911774,0.000023400615,0.00086388586,0.0003327878,0.00006782797,0.00082659203,0.0052177296],"genre_scores_gemma":[0.9250096,0.000003457693,0.074321814,0.00008808718,0.000111052665,0.00026217705,0.00011862862,0.000068523266,0.000016643722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803144,0.000039462782,0.0005003186,0.0005046843,0.0004220516,0.00050204195],"domain_scores_gemma":[0.9993507,0.0000854746,0.0001239382,0.00018587978,0.00006204435,0.00019196213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026742226,0.0003290907,0.0003992627,0.00013391818,0.0004622389,0.00018858718,0.0003628364,0.00017323079,0.000004866909],"category_scores_gemma":[0.000009183076,0.00031682538,0.00011220059,0.0006788277,0.00006666234,0.00021587143,0.00003743813,0.00006797807,0.000002079154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007807188,0.0000058249693,0.000005450656,0.00006817916,0.0000707936,0.0000018960926,0.00028041506,0.9795001,0.009326944,0.009511223,0.0007916078,0.00042976777],"study_design_scores_gemma":[0.0005494688,0.0000426432,1.0500165e-7,0.000061332285,0.000038899558,0.0000041584995,0.004497603,0.96843463,0.023816131,0.0000028068334,0.0022091842,0.00034300782],"about_ca_topic_score_codex":0.0002653732,"about_ca_topic_score_gemma":0.000011967316,"teacher_disagreement_score":0.92374504,"about_ca_system_score_codex":0.00046161434,"about_ca_system_score_gemma":0.00006313245,"threshold_uncertainty_score":0.99992836},"labels":[],"label_agreement":null},{"id":"W3082053799","doi":"10.3390/app10176022","title":"Techno-Economic Trade-Off between Battery Storage and Ice Thermal Energy Storage for Application in Renewable Mine Cooling System","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Payback period; Refrigeration; Thermal energy storage; Renewable energy; Diesel generator; Engineering; Waste management; Diesel fuel; Environmental engineering; Process engineering; Electrical engineering; Mechanical engineering; Production (economics)","score_opus":0.010419288194514622,"score_gpt":0.20559777006843655,"score_spread":0.19517848187392192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082053799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69117165,0.0007485724,0.30528474,0.00013301568,0.00009810761,0.00023301366,0.000020662175,0.00022139188,0.002088855],"genre_scores_gemma":[0.99931645,0.000014328632,0.00030084033,0.00004059997,0.0001992832,0.00008958338,0.000010377157,0.000017351247,0.000011173114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990906,0.000008646426,0.00026195994,0.00029940912,0.00009449076,0.0002448582],"domain_scores_gemma":[0.99969196,0.00006712607,0.0000531215,0.00010814887,0.0000039451684,0.00007570354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026308763,0.00014153062,0.00026081002,0.00007639266,0.00011637536,0.000051579667,0.00024513892,0.000075216856,0.0000020605096],"category_scores_gemma":[0.0000019801334,0.00013379233,0.00003321803,0.00017407926,0.00007728893,0.00008405809,0.0000232428,0.00005969729,0.0000041245107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019705758,0.0000069347093,0.0006107494,0.00022850765,0.000035636403,0.0000011398594,0.00089838076,0.94835746,0.037398487,0.004111715,0.0001847862,0.008146488],"study_design_scores_gemma":[0.00027823274,0.000030612322,0.00042173313,0.000028073455,0.000022992357,0.000001335427,0.0020636823,0.99378216,0.0015568376,0.00007226384,0.001510534,0.00023156402],"about_ca_topic_score_codex":0.0003236805,"about_ca_topic_score_gemma":0.000047380505,"teacher_disagreement_score":0.3081448,"about_ca_system_score_codex":0.000058982336,"about_ca_system_score_gemma":0.000020369558,"threshold_uncertainty_score":0.5455893},"labels":[],"label_agreement":null},{"id":"W3082144786","doi":"10.3390/app10175983","title":"Flexural Performance of Novel Nail-Cross-Laminated Timber Composite Panels","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Flexural strength; Structural engineering; Composite number; Nail (fastener); Ultimate tensile strength; Sandwich-structured composite; Bearing capacity; Engineering; Composite material; Materials science","score_opus":0.04014715771045043,"score_gpt":0.23496889844403043,"score_spread":0.19482174073358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082144786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97633976,0.000100212106,0.000110260706,0.000058940775,0.000063111846,0.000084351814,0.000004635323,0.00012338659,0.02311535],"genre_scores_gemma":[0.9983639,0.000010659819,0.0014503798,0.000049745566,0.000028691611,0.000007963377,0.0000031777977,0.000007119904,0.00007837919],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941176,0.0000023233654,0.0001312905,0.00012822806,0.00015936434,0.00016705414],"domain_scores_gemma":[0.9998422,0.000018466206,0.000021665435,0.00006146217,0.000013837226,0.000042343017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006387314,0.00009695545,0.00012075557,0.000024921805,0.00009513855,0.00004206196,0.00018774961,0.000027415992,0.00004355537],"category_scores_gemma":[0.0000018688912,0.00007237939,0.000021085923,0.00027715132,0.00022481749,0.00013629271,0.000029433984,0.00005194547,0.00006308069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005244791,0.000052661424,0.018905273,0.00018413067,0.000060062383,0.0000013237596,0.0035114326,0.16699767,0.8031875,0.0011277813,0.00024629073,0.0056734392],"study_design_scores_gemma":[0.0005624893,0.00016688227,0.018863173,0.000019409956,0.000014492152,0.000002394106,0.00015337803,0.2699119,0.7094534,0.000015305866,0.00060138403,0.00023580136],"about_ca_topic_score_codex":0.0000044415833,"about_ca_topic_score_gemma":4.9494963e-7,"teacher_disagreement_score":0.10291422,"about_ca_system_score_codex":0.0000073036354,"about_ca_system_score_gemma":0.000009296037,"threshold_uncertainty_score":0.2951546},"labels":[],"label_agreement":null},{"id":"W3082189053","doi":"10.3390/app10175964","title":"Utilizing Energy Storage for Operational Adequacy of Wind-Integrated Bulk Power Systems","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Wind power; Renewable energy; Operational planning; Energy storage; Reliability (semiconductor); Electric power system; Computer science; Engineering; Power (physics); Electrical engineering","score_opus":0.02235752367778343,"score_gpt":0.2201918712228104,"score_spread":0.19783434754502696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082189053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08492985,0.0021166413,0.83996665,0.0006477612,0.0017658165,0.0010156379,0.00014347216,0.0005087902,0.06890535],"genre_scores_gemma":[0.99881035,0.0000065646145,0.0009205916,0.00012118897,0.000039368464,0.00004676186,0.0000062485387,0.000009377309,0.000039550345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989453,0.000022046735,0.00036732416,0.00022912284,0.00022499991,0.00021122064],"domain_scores_gemma":[0.99952596,0.00017566697,0.000061091814,0.0001011056,0.00006023129,0.00007593441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067740673,0.000115293056,0.0002880577,0.00004149311,0.000093118986,0.00006905196,0.0002765233,0.000053434585,0.00002511585],"category_scores_gemma":[0.00010134878,0.000090001835,0.000057597572,0.0003187486,0.00012422183,0.00014525134,0.00001996147,0.000057019068,0.0000071692893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001593305,0.000026380612,0.000056544937,0.00032329993,0.00005321807,0.0000011981424,0.0015912544,0.34253085,0.1279126,0.52043337,0.006506759,0.0005486183],"study_design_scores_gemma":[0.0004816902,0.00016631446,0.00009521874,0.00012649939,0.000019876285,0.00000403671,0.00491215,0.76203823,0.038135115,0.00047095248,0.19310702,0.00044289234],"about_ca_topic_score_codex":0.0000298148,"about_ca_topic_score_gemma":0.0000033843796,"teacher_disagreement_score":0.91388047,"about_ca_system_score_codex":0.000026331025,"about_ca_system_score_gemma":0.000070327565,"threshold_uncertainty_score":0.36701682},"labels":[],"label_agreement":null},{"id":"W3082418808","doi":"10.3390/app10175957","title":"Trend-Based Categories Recommendations and Age-Gender Prediction for Pinterest and Twitter Users","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Universidad de Guanajuato; Consejo Nacional de Ciencia y Tecnología; University of Ottawa","keywords":"Computer science; Meaning (existential); Information retrieval; Convolutional neural network; Feature (linguistics); World Wide Web; Artificial intelligence; Psychology","score_opus":0.1518274713559655,"score_gpt":0.31829066825339075,"score_spread":0.16646319689742525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082418808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03281237,0.00007011265,0.94285244,0.022487793,0.00022672843,0.0002795175,0.000021803371,0.000174414,0.0010748011],"genre_scores_gemma":[0.9698981,0.000006506693,0.027792834,0.0021918102,0.000041776337,0.00003338836,0.000014544681,0.0000026629232,0.00001836658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992492,0.000021709531,0.00012419383,0.00033902217,0.00010894077,0.00015690544],"domain_scores_gemma":[0.999646,0.00012455462,0.000048069876,0.000071058465,0.000011982046,0.00009834775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031749994,0.00007757921,0.00008186503,0.00005212011,0.00040987815,0.0002539281,0.00020864072,0.000031737163,0.00000809809],"category_scores_gemma":[0.000024083223,0.00006546983,0.000015282423,0.00029280674,0.00019884978,0.00023370533,0.00006902817,0.000058231082,0.0000027409574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006850453,0.00006458812,0.011900229,0.0001397448,0.000040078423,0.0000029473404,0.028206503,0.00033127103,0.015764108,0.85712886,0.020819863,0.0655333],"study_design_scores_gemma":[0.0036496117,0.0011882985,0.026080366,0.000061650455,0.0000820965,0.000016658336,0.0072648944,0.72793597,0.050415643,0.0761207,0.10574398,0.0014401256],"about_ca_topic_score_codex":0.0000035330502,"about_ca_topic_score_gemma":0.0000060375814,"teacher_disagreement_score":0.93708575,"about_ca_system_score_codex":0.000007297496,"about_ca_system_score_gemma":0.000033176366,"threshold_uncertainty_score":0.31524926},"labels":[],"label_agreement":null},{"id":"W3083016706","doi":"10.3390/app10186171","title":"The Heat Pulse Method for Soil Physical Measurements: A Bibliometric Analysis","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Thermal diffusivity; Environmental science; Engineering physics; Agricultural engineering; Engineering; Physics; Thermodynamics","score_opus":0.057915390488080545,"score_gpt":0.2968058528379069,"score_spread":0.23889046234982636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083016706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46739152,0.0027219474,0.46401414,0.0054893815,0.0006772421,0.0010855031,0.000030065907,0.0010796458,0.05751056],"genre_scores_gemma":[0.9956021,0.000024086363,0.0039352356,0.00020702867,0.00013885771,0.00007335498,0.000001927746,0.000007312713,0.000010150536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990138,0.000013926484,0.00011873338,0.00021817692,0.00036637552,0.00026902297],"domain_scores_gemma":[0.99947035,0.00028646938,0.000013776785,0.00010537365,0.00003536634,0.00008866859],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00050997816,0.000101821475,0.00016056279,0.0030473964,0.00030244637,0.00017874844,0.00035087447,0.000027753113,0.000006342427],"category_scores_gemma":[0.00006630152,0.00006206207,0.000104656596,0.10130884,0.00007656761,0.0000758579,0.000020930673,0.00007704434,0.000017667819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036488982,0.00004414975,0.000613638,0.000042115582,0.0008914759,6.2839706e-7,0.0011028905,0.5010047,0.0782949,0.0023192004,0.0062075043,0.4094423],"study_design_scores_gemma":[0.0001931621,0.000040901075,0.0010286674,0.0000011900406,0.00018878705,1.8342334e-7,0.00024991774,0.9622757,0.03195936,0.00079367985,0.003111324,0.00015714331],"about_ca_topic_score_codex":0.000011989318,"about_ca_topic_score_gemma":0.000012744199,"teacher_disagreement_score":0.5282105,"about_ca_system_score_codex":0.000013640361,"about_ca_system_score_gemma":0.000016898766,"threshold_uncertainty_score":0.9177933},"labels":[],"label_agreement":null},{"id":"W3083389769","doi":"10.3390/app10186173","title":"A Spring Search Algorithm Applied to Engineering Optimization Problems","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Mathematical optimization; Spring (device); Algorithm; Mathematics; Engineering; Mechanical engineering","score_opus":0.0391604103543382,"score_gpt":0.25997314368535607,"score_spread":0.22081273333101786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083389769","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025586912,0.000025027524,0.99098957,0.0023887656,0.00009953538,0.00066493935,0.0000015163589,0.00036589324,0.0052088597],"genre_scores_gemma":[0.096433565,0.000007819434,0.9024951,0.0008138548,0.00010918608,0.000099639634,0.000001430933,0.000015521939,0.000023873894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996984,0.00002881623,0.00031649903,0.000887351,0.0011684397,0.0006148966],"domain_scores_gemma":[0.9989009,0.00012483833,0.000053021282,0.000344799,0.00010130064,0.00047516113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009985397,0.00019046715,0.00021940867,0.00028834675,0.00031436965,0.0006847098,0.0019107693,0.000052394484,0.00005959033],"category_scores_gemma":[0.000106357016,0.00018081735,0.000032356376,0.003509925,0.000092146794,0.00031538386,0.0007637457,0.0002060323,0.00026637787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013610197,0.0000146422835,0.000008346262,0.000015056619,0.000005340483,0.0000020025882,0.0008069696,0.9442707,0.002005185,0.02023313,0.00008117649,0.03255614],"study_design_scores_gemma":[0.0001784365,0.000056533452,0.000036394955,0.0000063767816,0.0000018209618,0.0000015457796,0.0000663167,0.9954077,0.0030341514,0.00008896126,0.0008967734,0.00022499292],"about_ca_topic_score_codex":0.0000146921675,"about_ca_topic_score_gemma":4.896768e-7,"teacher_disagreement_score":0.09617769,"about_ca_system_score_codex":0.00004456973,"about_ca_system_score_gemma":0.00016843814,"threshold_uncertainty_score":0.7373518},"labels":[],"label_agreement":null},{"id":"W3083759451","doi":"10.3390/app10176130","title":"Small-Signal Analysis and Control of Soft-Switching Naturally Clamped Snubberless Current-Fed Half-Bridge DC/DC Converter","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transient (computer programming); SIGNAL (programming language); Control theory (sociology); Current (fluid); Small-signal model; Digital control; Controller (irrigation); Digital signal processor; Digital signal processing; Half bridge; Bridge (graph theory); Computer science; Electronic engineering; Engineering; Voltage; Electrical engineering; Capacitor; Control (management)","score_opus":0.019287837496406758,"score_gpt":0.2293589800164269,"score_spread":0.21007114252002015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083759451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23942403,0.00048478018,0.75919837,0.00022853685,0.00012899503,0.00020958499,0.0000100579555,0.00014499872,0.0001706465],"genre_scores_gemma":[0.9982976,0.000026024161,0.0012941982,0.0002768178,0.00006051721,0.00001874073,0.0000058132387,0.000016926231,0.0000033776064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983599,0.00002352898,0.00037628497,0.0004645644,0.00035438867,0.00042130845],"domain_scores_gemma":[0.9992949,0.00019801312,0.00011192124,0.00016114485,0.000037339854,0.00019668689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420825,0.00024824077,0.000495358,0.00019252657,0.00013919004,0.00008570958,0.00043528256,0.00006548889,0.000046467518],"category_scores_gemma":[0.000021361167,0.000222169,0.00010912146,0.0008697638,0.00026739482,0.0002184967,0.0000680498,0.0002577106,0.000012083335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012050957,0.000033467808,0.013321071,0.0002575673,0.00073132676,0.0000082024235,0.0035045363,0.005898284,0.32825533,0.0030469592,0.00007435943,0.6447484],"study_design_scores_gemma":[0.0009440737,0.000038595088,0.004996073,0.000017665207,0.00026613532,0.00000172062,0.00031285099,0.9875689,0.0049011847,0.00029917297,0.00026494253,0.0003886964],"about_ca_topic_score_codex":0.00002027773,"about_ca_topic_score_gemma":0.000055095872,"teacher_disagreement_score":0.9816706,"about_ca_system_score_codex":0.000025771811,"about_ca_system_score_gemma":0.00004179282,"threshold_uncertainty_score":0.90597886},"labels":[],"label_agreement":null},{"id":"W3084687374","doi":"10.3390/app10186299","title":"Influence of Laser-Designed Microstructure Density on Interface Characteristics and on Preliminary Responses of Epithelial Cells","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"SCIEX; National Science Foundation","keywords":"Polydimethylsiloxane; Materials science; Context (archaeology); Nanotechnology; Biomedical engineering; Adhesion; Micropatterning; Composite material","score_opus":0.018336950192182334,"score_gpt":0.26452345494742396,"score_spread":0.24618650475524162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084687374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992649,0.000010284153,0.0001819778,0.00013314221,0.00003404126,0.00012029231,0.000026075166,0.000030715008,0.00019856621],"genre_scores_gemma":[0.998917,0.000017959019,0.00095388305,0.00007811792,0.000018956911,0.0000021493831,4.2103605e-7,0.0000060844636,0.00000545561],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991283,0.00002710257,0.00017743128,0.00018922164,0.0003206907,0.0001572891],"domain_scores_gemma":[0.9992488,0.0004797681,0.000048064907,0.00010902951,0.000029879136,0.000084461135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031367765,0.000090030524,0.0001578762,0.00006270449,0.000046985184,0.00001587893,0.00028293865,0.00005709934,0.000008638222],"category_scores_gemma":[0.00029614422,0.000073682444,0.000013856957,0.00024650714,0.0006170788,0.000026507525,0.00009388006,0.00015253157,0.000010035326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002596822,0.000009087088,0.0002903457,0.000103361104,0.00000448874,0.0000016305752,0.00045024828,0.0033530667,0.99326944,0.0001070651,0.00005180402,0.0020997992],"study_design_scores_gemma":[0.00009929192,0.00040589616,0.031342555,0.000041289157,0.000002814267,5.797226e-7,0.0000524872,0.0012841419,0.96656966,0.00007812157,0.000055050652,0.000068130474],"about_ca_topic_score_codex":0.0000034192974,"about_ca_topic_score_gemma":2.4369382e-7,"teacher_disagreement_score":0.031052208,"about_ca_system_score_codex":0.000008854769,"about_ca_system_score_gemma":0.000031355547,"threshold_uncertainty_score":0.30046827},"labels":[],"label_agreement":null},{"id":"W3085873795","doi":"10.3390/app10186307","title":"A Critical Review of SCWG in the Context of Available Gasification Technologies for Plastic Waste","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fondazione Cassa di Risparmio di Firenze","keywords":"Waste management; Environmental science; Context (archaeology); Fluidized bed; tar (computing); Biomass (ecology); Engineering; Geology","score_opus":0.06725464139811606,"score_gpt":0.29644871847760423,"score_spread":0.2291940770794882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085873795","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000049152663,0.9980543,0.00010510023,0.000115175004,0.000048517526,0.0006421616,0.0000273026,0.000058714788,0.00094380975],"genre_scores_gemma":[0.007331267,0.99186784,0.00045907663,0.000022644654,0.000008091505,0.00029506415,0.000005935817,0.000008593703,0.0000015114365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989184,0.000015830787,0.00048397054,0.00022099802,0.00021097322,0.00014979251],"domain_scores_gemma":[0.9980486,0.0015888279,0.00012575171,0.00018204971,0.000040723655,0.000014034497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043885116,0.00014948676,0.0007334327,0.00009303209,0.000025497486,0.000012312147,0.0008448157,0.000104659506,0.000021813963],"category_scores_gemma":[0.0010697277,0.00009224701,0.00009418595,0.0009598528,0.0004822841,0.000042060685,0.000046657173,0.00012263474,0.000019840358],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002165029,0.000019490519,1.842835e-7,0.3334634,0.000017065511,4.1495065e-7,0.000060599425,5.051029e-7,0.001812621,0.01418119,0.0025214679,0.6479209],"study_design_scores_gemma":[0.00011391271,0.000073206174,4.1514145e-8,0.06786874,0.00028883672,0.000004999148,0.001560771,0.00008408563,0.028443974,0.0008677114,0.9003674,0.0003263671],"about_ca_topic_score_codex":5.1569805e-7,"about_ca_topic_score_gemma":3.1818504e-7,"teacher_disagreement_score":0.89784586,"about_ca_system_score_codex":0.000018645853,"about_ca_system_score_gemma":0.000096982025,"threshold_uncertainty_score":0.37617242},"labels":[],"label_agreement":null},{"id":"W3087148759","doi":"10.3390/app10186543","title":"Moth Mating: Modeling Female Pheromone Calling and Male Navigational Strategies to Optimize Reproductive Success","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Pheromone; Mating; Sex pheromone; Biology; Mate choice; Sexual selection; Competition (biology); Zoology; Ecology; Demography","score_opus":0.036540825215242316,"score_gpt":0.28644902738481415,"score_spread":0.24990820216957182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087148759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99012715,0.00006941954,0.007323874,0.00053284003,0.000037683072,0.00013341184,0.000003924936,0.000012000142,0.0017597048],"genre_scores_gemma":[0.9888624,0.000009017561,0.010465674,0.00039779025,0.00017151488,0.000026441778,0.000012818934,0.0000047137396,0.00004965586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920315,0.000011517877,0.000113872884,0.00041606187,0.00009114703,0.00016426915],"domain_scores_gemma":[0.999794,0.0000066363486,0.000033677217,0.00007253054,0.000028060093,0.00006506981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018690358,0.000084899206,0.00008851317,0.000013410875,0.00028884338,0.00005965004,0.00014070231,0.000056654524,0.000032988923],"category_scores_gemma":[0.000016222886,0.000076714095,0.00001721705,0.00010562904,0.00015517764,0.000011624747,0.00008474179,0.00006136169,0.0000063020643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051849707,0.000022830038,0.0027713843,0.000010145865,0.000008086279,0.0000024188153,0.0008318274,0.055816293,0.938447,0.0016253834,0.000043083943,0.0003696905],"study_design_scores_gemma":[0.0005905203,0.0005836802,0.0011988423,0.000016553904,0.000033422068,0.000035933004,0.008062143,0.02993884,0.958003,0.0008603179,0.00007517481,0.00060157845],"about_ca_topic_score_codex":0.000010435924,"about_ca_topic_score_gemma":0.0000069271773,"teacher_disagreement_score":0.025877453,"about_ca_system_score_codex":0.0000025496588,"about_ca_system_score_gemma":0.00004963203,"threshold_uncertainty_score":0.312831},"labels":[],"label_agreement":null},{"id":"W3089183855","doi":"10.3390/app10196641","title":"Detection of Adjacent and Non-Adjacent Bar Breakages in Induction Motors Based on Power Spectral Subtraction and Second Order Statistics of Sound Signals","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"FP7 Science in Society; Ministerio de Economía y Competitividad; Generalitat Valenciana; Mountain Equipment Co-operative","keywords":"Bar (unit); Subtraction; Noise (video); SIGNAL (programming language); Acoustics; Mathematics; Spectral density; Physics; Computer science; Statistics; Artificial intelligence; Arithmetic","score_opus":0.011018001244529577,"score_gpt":0.24948313157363625,"score_spread":0.23846513032910666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089183855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090905,0.00003212078,0.018124316,0.000043299777,0.00004761541,0.0002594885,0.00001864911,0.000042210024,0.0005232364],"genre_scores_gemma":[0.99682957,0.000031842224,0.003066332,0.000033022272,0.000011655544,0.0000169611,0.00000190039,0.000008153123,5.5631966e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927914,0.000015079541,0.00020878953,0.0001898144,0.00018911451,0.00011803231],"domain_scores_gemma":[0.9997088,0.00009887322,0.000067519366,0.000057592304,0.000020938412,0.00004629693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002295592,0.00010425828,0.00015491397,0.00013931115,0.00003407046,0.000020847103,0.0000557504,0.000052056115,0.000048135116],"category_scores_gemma":[0.000031723834,0.00009875808,0.000009850072,0.00029329088,0.00012275933,0.00009520344,0.0000120993345,0.00011506281,5.916497e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058869446,0.00010559152,0.01416256,0.00027658933,0.000013281186,0.0000013193514,0.0012370613,0.02631924,0.9502392,0.0004629935,0.0001766371,0.006946681],"study_design_scores_gemma":[0.000349438,0.00044208713,0.11732466,0.000032797398,0.000010350172,0.0000010932081,0.00034441872,0.08654483,0.79410124,0.00061370776,0.00005919847,0.00017620114],"about_ca_topic_score_codex":0.000035297886,"about_ca_topic_score_gemma":0.00008492038,"teacher_disagreement_score":0.15613796,"about_ca_system_score_codex":0.000026657268,"about_ca_system_score_gemma":0.0000138181495,"threshold_uncertainty_score":0.40272376},"labels":[],"label_agreement":null},{"id":"W3089336996","doi":"10.3390/app10196865","title":"Endoscopic Optical Imaging Technologies and Devices for Medical Purposes: State of the Art","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Miniaturization; Computer science; Optical imaging; Medical physics; Biomedical engineering; Medicine; Nanotechnology; Optics; Materials science; Physics","score_opus":0.00918931560394415,"score_gpt":0.22188788001631576,"score_spread":0.21269856441237162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089336996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87165326,0.0015725696,0.10306134,0.007569472,0.00027679896,0.0007168606,0.000016563235,0.0006390033,0.01449416],"genre_scores_gemma":[0.99605554,0.000030447201,0.0036714585,0.00020786046,0.000012139654,0.000015146381,2.1406704e-7,0.000004479587,0.000002703712],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993676,0.0000025085305,0.000120907695,0.00013335416,0.00019958761,0.00017603977],"domain_scores_gemma":[0.99970484,0.00017141766,0.000019424975,0.00006017551,0.000007857831,0.000036278398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017741935,0.00006708208,0.00010200256,0.000019814186,0.0000867293,0.000031793657,0.00030390083,0.000017153241,0.000004824582],"category_scores_gemma":[0.00013265599,0.00004302793,0.000015937381,0.00018009255,0.0005704253,0.000056559285,0.000068381516,0.000084059466,0.0000015042543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016916652,0.00004011753,0.012310961,0.00097480987,0.00008153742,0.000006566602,0.0037335507,0.006919549,0.39552745,0.033818565,0.0038824661,0.54268754],"study_design_scores_gemma":[0.0008278586,0.000058436726,0.0032130217,0.00015551907,0.00005182735,0.00001640111,0.009553636,0.5536771,0.41697618,0.008892339,0.006221971,0.00035569293],"about_ca_topic_score_codex":9.988399e-7,"about_ca_topic_score_gemma":0.0000032577245,"teacher_disagreement_score":0.5467576,"about_ca_system_score_codex":0.0000049416794,"about_ca_system_score_gemma":0.000037216076,"threshold_uncertainty_score":0.21017557},"labels":[],"label_agreement":null},{"id":"W3089524077","doi":"10.3390/app10196819","title":"A Method of Defect Depth Estimation for Simulated Infrared Thermography Data with Deep Learning","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Finite element method; Materials science; Infrared; Nondestructive testing; Structural engineering; Acoustics; Composite material; Optics; Engineering","score_opus":0.030469370534370408,"score_gpt":0.27802748427347923,"score_spread":0.24755811373910883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089524077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038907837,0.00010746953,0.95774454,0.000008852649,0.000010516756,0.00034174195,0.000036030186,0.00041925992,0.0024237498],"genre_scores_gemma":[0.7968565,0.0000047872104,0.20305647,0.000024221139,0.000009190805,0.000017203274,0.000020535146,0.000010622528,4.217071e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934673,0.000016733173,0.00013638522,0.00021585794,0.00013789108,0.00014637507],"domain_scores_gemma":[0.99947906,0.00025698513,0.000052462092,0.00015091377,0.000018026525,0.000042550906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034505985,0.00010132245,0.00014588251,0.000083616345,0.00009135828,0.000027270095,0.00037830204,0.00004175047,0.0000076101937],"category_scores_gemma":[0.00002542964,0.00007891502,0.000036111003,0.00077959977,0.000108875225,0.000108234,0.00003072022,0.00008353459,2.157453e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000699586,0.000012294745,0.00053598994,0.00014615165,0.000093341514,4.2062686e-7,0.0017458635,0.8081256,0.07582821,0.0014233193,0.00005448095,0.11196435],"study_design_scores_gemma":[0.00020338102,0.0001672731,0.00043239328,0.000015840738,0.000049761475,7.7279225e-7,0.00025538268,0.9667838,0.030110609,0.0015668984,0.00027241782,0.00014144245],"about_ca_topic_score_codex":0.000005783692,"about_ca_topic_score_gemma":0.0000036444892,"teacher_disagreement_score":0.7579487,"about_ca_system_score_codex":0.0000024544784,"about_ca_system_score_gemma":0.000011366233,"threshold_uncertainty_score":0.3218061},"labels":[],"label_agreement":null},{"id":"W3089581105","doi":"10.3390/app10196885","title":"An Efficient Radio Frequency Interference (RFI) Recognition and Characterization Using End-to-End Transfer Learning","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Artificial intelligence; Feature extraction; Robustness (evolution); Deep learning; Preprocessor; Convolutional neural network; Pattern recognition (psychology); Speech recognition","score_opus":0.07672801673836872,"score_gpt":0.26047408852952814,"score_spread":0.18374607179115943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089581105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5080026,0.0000037879493,0.49110582,0.0004694214,0.000049864524,0.00014341206,0.0000020936243,0.00008868568,0.00013431117],"genre_scores_gemma":[0.9787724,0.0000029752418,0.020739153,0.00037108018,0.00007040494,0.000018618886,0.000016886195,0.000007012112,0.0000014433042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983756,0.000091376045,0.0002549783,0.0006863133,0.00036611522,0.00022561771],"domain_scores_gemma":[0.9994613,0.000059185524,0.00007570513,0.0001440335,0.000069554546,0.00019021318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004283061,0.00013440223,0.00013210581,0.00014962417,0.00039024145,0.0004124266,0.0004971636,0.00004849753,0.000030170251],"category_scores_gemma":[0.000028358076,0.00013049878,0.000017474846,0.0010060561,0.00014317235,0.0006429248,0.000054532713,0.00012589403,0.000037564114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047584,0.00002401951,0.0003740875,0.000007697032,0.0000019539787,5.6052505e-7,0.0038118856,0.009632695,0.9282135,0.0102082845,3.712818e-7,0.047720205],"study_design_scores_gemma":[0.00016241206,0.00020511351,0.015715627,0.00002526113,0.0000063698258,0.000004762043,0.0002348224,0.93124,0.051441263,0.00067192444,0.000024716242,0.00026771455],"about_ca_topic_score_codex":0.000014681455,"about_ca_topic_score_gemma":0.0000023515402,"teacher_disagreement_score":0.9216073,"about_ca_system_score_codex":0.00003719903,"about_ca_system_score_gemma":0.00007639432,"threshold_uncertainty_score":0.53215855},"labels":[],"label_agreement":null},{"id":"W3090370924","doi":"10.3390/app10196841","title":"Towards Management of Residual Limb Volume: Monitoring the Prosthetic Interface Pressure to Detect Volume Fluctuations—A Feasibility Study","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Activation Laboratories; Simon Fraser University","funders":"","keywords":"Volume (thermodynamics); Interface (matter); Prosthesis; Biomedical engineering; Residual; Computer science; Residual volume; Lower limb; Simulation; Engineering; Medicine; Surgery; Artificial intelligence; Physics","score_opus":0.03168540036312072,"score_gpt":0.272351236603315,"score_spread":0.24066583624019428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090370924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912098,0.00026699473,0.00306315,0.00090202055,0.000111987545,0.0011650097,0.0000030347755,0.0001538343,0.0031241418],"genre_scores_gemma":[0.9984809,0.000012177873,0.0012530647,0.000023253822,0.000038848706,0.00013998694,1.5390275e-7,0.000007469782,0.000044148484],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989493,0.00002376606,0.00020016498,0.00025948382,0.0003667631,0.00020053498],"domain_scores_gemma":[0.9996696,0.000022884615,0.000033256263,0.00018866936,0.0000358664,0.000049725735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033538844,0.000115436604,0.00013489144,0.000052561118,0.00022862635,0.00005952501,0.00040013416,0.000016894,0.00001672714],"category_scores_gemma":[0.000020685491,0.000085139225,0.000029645804,0.0008450758,0.00009978342,0.00006962706,0.00012049837,0.000094634015,0.000005607517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031405812,0.00047640217,0.077116564,0.0009991516,0.0014848599,0.0000039478564,0.07997817,0.21201509,0.17492256,0.0015565443,0.008169051,0.4429636],"study_design_scores_gemma":[0.00034793557,0.0007384505,0.9293368,0.00002575151,0.00009773865,3.683616e-7,0.01821152,0.002792007,0.04599432,0.00028402705,0.0018721172,0.00029900216],"about_ca_topic_score_codex":0.000011667726,"about_ca_topic_score_gemma":0.0000055612404,"teacher_disagreement_score":0.8522202,"about_ca_system_score_codex":0.000016088978,"about_ca_system_score_gemma":0.000010738195,"threshold_uncertainty_score":0.34718767},"labels":[],"label_agreement":null},{"id":"W3090810832","doi":"10.3390/app10196821","title":"Analysis of Photosynthetic Systems and Their Applications with Mathematical and Computational Models","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Photosynthesis; Energy transfer; Coherence (philosophical gambling strategy); Physics; Biological system; Chemistry; Biology; Chemical physics; Botany; Quantum mechanics","score_opus":0.022586457077228943,"score_gpt":0.24510268830461127,"score_spread":0.22251623122738232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090810832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7147682,0.00008698675,0.27696013,0.0001473144,0.0000012404652,0.00014802931,0.000025784111,0.000009264368,0.007853058],"genre_scores_gemma":[0.99881196,0.0000010816344,0.0011122285,0.000019023277,0.000010059674,0.000040320647,0.000002775687,0.0000014929975,0.0000010837813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996077,0.000003695789,0.00008931836,0.0001506574,0.00008189763,0.00006673617],"domain_scores_gemma":[0.9997612,0.00011253335,0.000042954845,0.000032416738,0.000011911639,0.000038957463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049513517,0.000055002187,0.00016299933,0.0000215037,0.000105628445,0.000024841213,0.000054229542,0.0000066755315,0.000013047082],"category_scores_gemma":[4.8110394e-7,0.000033427023,0.000014820972,0.00032886458,0.00033493864,0.000026565209,0.000026211315,0.000024255136,5.1282063e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058042674,0.000030180548,0.002193177,0.000020309157,0.00022001783,1.6809558e-8,0.0010246596,0.011654219,0.0029270952,0.9815213,0.0000041880176,0.00039905324],"study_design_scores_gemma":[0.00016253145,0.00004871805,0.0003505562,0.000008915731,0.00022306731,2.9478858e-7,0.005554909,0.8777998,0.00502134,0.11066662,0.000030187099,0.00013304684],"about_ca_topic_score_codex":0.000010120993,"about_ca_topic_score_gemma":2.673244e-7,"teacher_disagreement_score":0.8708547,"about_ca_system_score_codex":0.000001209566,"about_ca_system_score_gemma":0.000008265111,"threshold_uncertainty_score":0.13631144},"labels":[],"label_agreement":null},{"id":"W3090949825","doi":"10.3390/app10196748","title":"On the Use of a Simplified Slip Limit Equation to Predict Screw Self-Loosening of Dental Implants Subjected to External Cycling Loading","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Eusko Jaurlaritza","keywords":"Torque; Implant; Materials science; Dental implant; Finite element method; Orthodontics; Structural engineering; Engineering; Medicine; Physics; Surgery","score_opus":0.12883903163181246,"score_gpt":0.31376301665046696,"score_spread":0.1849239850186545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090949825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99003345,0.0000055960595,0.008336188,0.000103368446,0.00016475597,0.000529023,0.000046786783,0.00012120308,0.0006596022],"genre_scores_gemma":[0.9928388,0.0000016683268,0.0060440726,0.0010139585,0.000050177427,0.000019692867,0.0000040559507,0.000010820437,0.000016747184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982699,0.00003804048,0.00041723388,0.00034354933,0.0006512647,0.00028000146],"domain_scores_gemma":[0.9988778,0.0005786433,0.00020399214,0.0001680702,0.000033719443,0.00013777328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038037432,0.000145857,0.00024131348,0.00013137466,0.00018199389,0.0001376243,0.0005317364,0.00005149496,0.000041217867],"category_scores_gemma":[0.00021347482,0.0001054331,0.00006793951,0.0006815868,0.000069107795,0.00014852904,0.00021449086,0.000112333975,0.00007458772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023552774,0.00006134893,0.025127292,0.000039102193,0.000032404485,0.000030547308,0.0015589905,0.0008435615,0.95827174,0.009396028,0.0010273686,0.0033760811],"study_design_scores_gemma":[0.00039566436,0.0004363082,0.050024495,0.00021547939,0.00004479475,0.00009013929,0.0010938443,0.0039216336,0.94294024,0.00042586745,0.00012056553,0.0002909895],"about_ca_topic_score_codex":0.00010836467,"about_ca_topic_score_gemma":0.000044150576,"teacher_disagreement_score":0.024897205,"about_ca_system_score_codex":0.000027564558,"about_ca_system_score_gemma":0.000030332172,"threshold_uncertainty_score":0.42994368},"labels":[],"label_agreement":null},{"id":"W3091106624","doi":"10.3390/app10228298","title":"Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"AI in cancer detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mammography; CAD; Computer science; Breast cancer; Deep learning; Breast imaging; Breast tumor; Artificial intelligence; Computer-aided diagnosis; Feature extraction; Process (computing); Medical physics; Medicine; Cancer; Engineering drawing; Engineering","score_opus":0.056407442004357586,"score_gpt":0.35221509900398956,"score_spread":0.29580765699963196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091106624","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.9666516e-9,0.5743491,0.42152095,0.0012248877,0.0011715573,0.0012675064,0.000018922696,0.00026869512,0.00017838339],"genre_scores_gemma":[0.00003303952,0.9811727,0.014265897,0.0011998301,0.0008451779,0.0024199036,0.0000076920305,0.000043812735,0.000011978413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99533933,0.00027088076,0.00092250406,0.001809977,0.0009024555,0.00075485854],"domain_scores_gemma":[0.9970399,0.0012103107,0.0006309965,0.0006219946,0.00020765097,0.0002891321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014047235,0.00061780727,0.0019177395,0.00023160233,0.00066577666,0.0008172466,0.0030668504,0.00015725556,0.00002284695],"category_scores_gemma":[0.00009479597,0.00049511786,0.0004706742,0.0021322137,0.00051841064,0.00034436202,0.00038585806,0.00054626673,0.00008578876],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014085515,0.000015841704,5.1989633e-7,0.031887375,0.000020911173,0.000005161806,0.00001567417,0.00032779673,2.1043105e-7,0.0066480967,0.0022735756,0.9588034],"study_design_scores_gemma":[0.00009954826,0.00006504851,5.6047077e-7,0.01891061,0.00021498637,0.000091107504,0.0000047935123,0.18668859,5.160448e-7,0.00010969575,0.7933004,0.00051417114],"about_ca_topic_score_codex":0.000033733948,"about_ca_topic_score_gemma":0.000003008625,"teacher_disagreement_score":0.95828927,"about_ca_system_score_codex":0.0003622343,"about_ca_system_score_gemma":0.0013975287,"threshold_uncertainty_score":0.99975},"labels":[],"label_agreement":null},{"id":"W3092476896","doi":"10.3390/app10196945","title":"General Moving Object Localization from a Single Flying Camera","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Computer vision; Artificial intelligence; Object (grammar); Computer science; Stereo camera; Object detection; Computer graphics (images); Pattern recognition (psychology)","score_opus":0.025564130750987856,"score_gpt":0.21061912192738055,"score_spread":0.1850549911763927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092476896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17872553,0.00010161118,0.8135393,0.00012483935,0.00015095228,0.00009468896,0.000003195791,0.00025698263,0.007002863],"genre_scores_gemma":[0.9889794,0.000009536013,0.01017167,0.0006172146,0.00018099582,0.0000046338882,0.000017297252,0.000014481554,0.0000047522326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922776,0.000009525147,0.00015240208,0.0002154183,0.00021134727,0.00018353929],"domain_scores_gemma":[0.99978495,0.00003197441,0.000024366022,0.000070689195,0.000014158807,0.00007386698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006716283,0.0000995627,0.00010583651,0.000040557603,0.00020333371,0.00012724278,0.00014003876,0.000041151852,0.000042062456],"category_scores_gemma":[0.000017624543,0.000096253854,0.000020972984,0.00045902186,0.00006310323,0.00009785343,0.000020388508,0.00005681594,0.00003424343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013533225,0.0000040637806,0.00026284577,0.0000071432846,0.0000044364874,9.869142e-7,0.0006597303,0.90197843,0.09044345,0.0014344174,0.00024645496,0.004956713],"study_design_scores_gemma":[0.00009366768,0.0000173429,0.000056115925,0.00000645716,0.00000589757,2.1452715e-7,0.00032095253,0.9726042,0.025775913,0.00027923603,0.000705072,0.00013492347],"about_ca_topic_score_codex":0.000044490273,"about_ca_topic_score_gemma":0.000012018574,"teacher_disagreement_score":0.81025386,"about_ca_system_score_codex":0.000026620786,"about_ca_system_score_gemma":0.000016861168,"threshold_uncertainty_score":0.3925118},"labels":[],"label_agreement":null},{"id":"W3092532291","doi":"10.3390/app10196977","title":"Fragmented Rockfall Volume Distribution from Photogrammetry-Based Structural Mapping and Discrete Fracture Networks","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Klohn Crippen Berger (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rockfall; Photogrammetry; Geology; Classification of discontinuities; Block (permutation group theory); Landslide; Seismology; Geometry; Mathematics; Remote sensing","score_opus":0.00751762375200629,"score_gpt":0.1984827341450604,"score_spread":0.1909651103930541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092532291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647113,0.00013433691,0.13153711,0.0018230882,0.00010069236,0.0002471464,0.000043333366,0.000090670765,0.0013123351],"genre_scores_gemma":[0.99691546,0.000011190617,0.001163636,0.0016888212,0.00007903766,0.000007846922,0.000115678005,0.0000065840773,0.000011745465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986312,0.000020809808,0.00017062321,0.0004965284,0.00035005395,0.00033077708],"domain_scores_gemma":[0.99956506,0.000040030332,0.00009111594,0.00010300826,0.0000035355058,0.00019724244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012617477,0.00016197168,0.00015413646,0.00001157008,0.0004673894,0.0001478173,0.00027160178,0.00011412481,0.00085454504],"category_scores_gemma":[0.000012402293,0.00011077055,0.000040109793,0.0004744665,0.00041664616,0.000121601755,0.00015137314,0.00021852268,0.000045260127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019945325,0.000042487565,0.46780902,0.000020435878,0.00007744719,0.000021474158,0.002766897,0.47260737,0.01469697,0.0001511693,0.00837492,0.033232365],"study_design_scores_gemma":[0.00058495486,0.00008098791,0.11484898,0.000012677661,0.000025954654,0.0000011655108,0.00059150433,0.8661545,0.0009900398,0.00047771455,0.015886385,0.0003451321],"about_ca_topic_score_codex":0.0005288092,"about_ca_topic_score_gemma":0.00003860936,"teacher_disagreement_score":0.39354712,"about_ca_system_score_codex":0.000035805377,"about_ca_system_score_gemma":0.000010328527,"threshold_uncertainty_score":0.93566686},"labels":[],"label_agreement":null},{"id":"W3092813170","doi":"10.3390/app10207052","title":"Depth Dose Enhancement on Flattening-Filter-Free Photon Beam: A Monte Carlo Study in Nanoparticle-Enhanced Radiotherapy","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Monte Carlo method; Materials science; Photon; Nanoparticle; Photon energy; Range (aeronautics); Attenuation; Beam (structure); Flattening; Optics; Analytical Chemistry (journal); Chemistry; Physics; Nanotechnology; Composite material; Mathematics","score_opus":0.02389039056875512,"score_gpt":0.29344563612160696,"score_spread":0.2695552455528518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092813170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718021,0.000073492636,0.022492016,0.00033279046,0.00005977034,0.0012016966,0.0000043415766,0.000119117554,0.00391464],"genre_scores_gemma":[0.9894079,0.000009518055,0.009280714,0.00066380564,0.00013274078,0.00043875893,9.366278e-7,0.000024605704,0.00004103666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99796665,0.000045185778,0.00035051815,0.00072266767,0.00044123133,0.0004737773],"domain_scores_gemma":[0.99925935,0.00007058418,0.00014441063,0.00038340286,0.000018686756,0.00012355212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029693457,0.0002720813,0.0003399855,0.00009191798,0.00020456352,0.00009120908,0.00072844286,0.000029076205,0.0001665196],"category_scores_gemma":[0.000005269469,0.00023176147,0.000059052913,0.00068962056,0.00018527999,0.00018018136,0.00007905905,0.00019732179,0.000009202698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031109806,0.0010751444,0.02075631,0.0000074287836,0.00007082262,0.000005575344,0.010566594,0.003099543,0.92765176,0.0019050201,0.00034222758,0.034208477],"study_design_scores_gemma":[0.0035963682,0.0020057545,0.002129648,0.00002842935,0.000011541651,2.0381239e-7,0.0025975807,0.0038895463,0.9833786,0.0010299429,0.0007950684,0.0005373023],"about_ca_topic_score_codex":0.00012176348,"about_ca_topic_score_gemma":0.000029004172,"teacher_disagreement_score":0.055726852,"about_ca_system_score_codex":0.000064354026,"about_ca_system_score_gemma":0.000056022447,"threshold_uncertainty_score":0.94509584},"labels":[],"label_agreement":null},{"id":"W3094442952","doi":"10.3390/app10207371","title":"Methanol Production from Pyrolysis Oil Gasification—Model Development and Impacts of Operating Conditions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Syngas; Methanol; Yield (engineering); Wood gas generator; Pyrolysis; Pulp and paper industry; Synthetic fuel; Gas composition; Materials science; Waste management; Environmental science; Chemical engineering; Chemistry; Catalysis; Organic chemistry; Thermodynamics; Engineering; Coal; Metallurgy","score_opus":0.026524143654087142,"score_gpt":0.23190877878467933,"score_spread":0.20538463513059219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094442952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744153,0.00010607117,0.0010572695,0.00035028585,0.000020252732,0.000038007074,0.000005562809,0.00008703037,0.0008939934],"genre_scores_gemma":[0.9855162,0.000015152662,0.014367026,0.00005376597,0.000015331612,0.00001660741,0.000007122324,0.000004478294,0.000004299952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994481,0.0000033667943,0.00014236347,0.00018019145,0.0001380543,0.00008787895],"domain_scores_gemma":[0.9997997,0.000032386906,0.000032581298,0.000053445056,0.000023354532,0.000058491092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082921855,0.000065390304,0.00008801027,0.00003148732,0.00009296901,0.000024013882,0.00011307143,0.000024798997,0.00002571656],"category_scores_gemma":[0.00004842431,0.000058187914,0.000008466638,0.00030478643,0.00011048132,0.000110562956,0.000025097954,0.000036149675,0.000008150752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.5558e-7,0.0000038086507,0.00005931179,0.000023682114,0.0000098940145,3.801907e-8,0.0015061859,0.0017270789,0.99346334,0.0002759862,0.00005369216,0.002876012],"study_design_scores_gemma":[0.00005107519,0.0000030974606,0.00011380528,0.0000083258765,0.000007748505,1.5997776e-7,0.00061240257,0.008292032,0.9906474,0.00016707752,0.000024783283,0.00007209558],"about_ca_topic_score_codex":0.0000025288393,"about_ca_topic_score_gemma":0.0000013788339,"teacher_disagreement_score":0.013309756,"about_ca_system_score_codex":0.000010707848,"about_ca_system_score_gemma":0.000040709874,"threshold_uncertainty_score":0.23728342},"labels":[],"label_agreement":null},{"id":"W3094726226","doi":"10.3390/app10217833","title":"Detection and Identification of Malicious Cyber-Attacks in Connected and Automated Vehicles’ Real-Time Sensors","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Software deployment; Identification (biology); Real-time computing; Anomaly detection; Intelligent transportation system; Automation; Computer security; Data mining; Discrete wavelet transform; Wavelet; Artificial intelligence; Wavelet transform; Engineering; Transport engineering","score_opus":0.01286938115014578,"score_gpt":0.25064969379129104,"score_spread":0.23778031264114527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094726226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706929,0.000016441392,0.027192457,0.000703526,0.000010967001,0.00024520315,0.0000016841866,0.0004530973,0.00068374566],"genre_scores_gemma":[0.9953138,0.00003748316,0.004517632,0.00008069282,0.000007382355,0.0000308413,5.039191e-7,0.0000032290345,0.000008417468],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908245,0.00002769201,0.00025577223,0.00037090207,0.00014258506,0.000120577715],"domain_scores_gemma":[0.9995749,0.000063694955,0.00014054247,0.00013150257,0.000031458487,0.000057882145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000300973,0.00007648013,0.000119288634,0.00010900581,0.00014899847,0.000085412306,0.00022508856,0.00005059429,0.0000020706852],"category_scores_gemma":[0.000018836772,0.0000733299,0.000011482597,0.00096470857,0.00021343863,0.00017275843,0.00008874959,0.000056059675,0.000007115636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003986301,0.000014115661,0.00037963595,0.000009814105,0.0000021024443,4.4327695e-7,0.00057743385,0.00009890245,0.97686887,0.0121986745,0.00003415482,0.009811894],"study_design_scores_gemma":[0.00019710652,0.0001050375,0.036737602,0.000006406641,0.0000043966184,0.000008706938,0.000175839,0.56315845,0.3973324,0.0020289149,0.000091404254,0.00015373512],"about_ca_topic_score_codex":0.00007284611,"about_ca_topic_score_gemma":0.000008460417,"teacher_disagreement_score":0.57953644,"about_ca_system_score_codex":0.000010523847,"about_ca_system_score_gemma":0.000018415363,"threshold_uncertainty_score":0.29903066},"labels":[],"label_agreement":null},{"id":"W3095424117","doi":"10.3390/app10217683","title":"DM: Dehghani Method for Modifying Optimization Algorithms","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Meta-optimization; Mathematical optimization; Computer science; Derivative-free optimization; Multi-swarm optimization; Particle swarm optimization; Optimization algorithm; Population; Metaheuristic; Test functions for optimization; Optimization problem; Imperialist competitive algorithm; Engineering optimization; Continuous optimization; Algorithm; Mathematics","score_opus":0.10231333471973202,"score_gpt":0.3566389437694204,"score_spread":0.2543256090496884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095424117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009586988,0.000044981563,0.98971313,0.003982966,0.00015919434,0.0005710524,0.000004345806,0.00022599935,0.0052887183],"genre_scores_gemma":[0.006036407,0.000013270749,0.9920713,0.0015275914,0.00012991992,0.00012322467,0.0000047683016,0.000011380586,0.00008215573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975973,0.000077884164,0.00030614357,0.0008182676,0.00074349047,0.00045690994],"domain_scores_gemma":[0.99874777,0.00043669707,0.00012299311,0.00028029724,0.00016508951,0.0002471813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014758417,0.00015588435,0.00021462035,0.0001465813,0.00054515916,0.0005537614,0.0016966003,0.000057984955,0.00006175746],"category_scores_gemma":[0.0003547076,0.00013812799,0.000055721397,0.0017512452,0.0001322317,0.00046944377,0.00033424314,0.00011110341,0.00004363106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005707647,0.000022726628,0.000004861809,0.000020146063,0.000009713927,0.0000013020378,0.00072092924,0.8472635,0.00074671285,0.08906222,0.00087386894,0.061268274],"study_design_scores_gemma":[0.00031265206,0.00008312763,0.0000027251376,0.0000025790657,0.0000046336886,0.000002334808,0.000116947194,0.9920815,0.003445909,0.0023292648,0.0014413486,0.00017693907],"about_ca_topic_score_codex":0.0000069692287,"about_ca_topic_score_gemma":3.5028594e-7,"teacher_disagreement_score":0.14481801,"about_ca_system_score_codex":0.000025401234,"about_ca_system_score_gemma":0.00020177792,"threshold_uncertainty_score":0.56326956},"labels":[],"label_agreement":null},{"id":"W3095578985","doi":"10.3390/app10217886","title":"An Energy-Aware Method for Selecting Cluster Heads in Wireless Sensor Networks","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wireless sensor network; Computer science; Cluster analysis; Base station; Network packet; Computer network; Scalability; Node (physics); Cluster (spacecraft); Distributed computing; Real-time computing; Efficient energy use; Engineering","score_opus":0.023539507109931617,"score_gpt":0.28195631698634743,"score_spread":0.2584168098764158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095578985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019161323,0.00005014117,0.97735363,0.0016276638,0.00026834497,0.00026583739,0.0000011474875,0.00031470633,0.0009572018],"genre_scores_gemma":[0.7347581,0.0000065308755,0.26126134,0.003590846,0.00028396054,0.000065940934,0.0000040539326,0.000018187013,0.000011052957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966929,0.00018650664,0.00044101503,0.0012868592,0.00047870656,0.00091403985],"domain_scores_gemma":[0.99836844,0.0007023111,0.00017792126,0.0004046055,0.00007344989,0.00027329824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012686923,0.00028762835,0.0003756819,0.00015957255,0.00048269756,0.00042736993,0.0018734139,0.00016165838,0.0000039463985],"category_scores_gemma":[0.000019904428,0.0002641293,0.00007717366,0.0023738253,0.00015667756,0.00044511163,0.00024772168,0.0002469776,0.000003486589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020836724,0.000049064154,0.0002722955,0.000009139165,0.0000054587845,0.0000031968984,0.00082096603,0.89738876,0.0033849194,0.05190942,0.00018510556,0.04595083],"study_design_scores_gemma":[0.00041244904,0.00016067587,0.000041482122,0.00001462676,0.000003931852,0.000005432391,0.00027888844,0.99283296,0.0050014146,0.00033783287,0.0005503363,0.0003599628],"about_ca_topic_score_codex":0.000063357336,"about_ca_topic_score_gemma":0.00013808139,"teacher_disagreement_score":0.7160923,"about_ca_system_score_codex":0.000048996604,"about_ca_system_score_gemma":0.000103919316,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W3095603137","doi":"10.3390/app10217554","title":"Crack Propagation and Burst Pressure of Pipeline with Restrained and Unrestrained Concentric Dent-Crack Defects Using Extended Finite Element Method","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Structural engineering; Finite element method; Concentric; Fracture mechanics; Pipeline (software); Geotechnical engineering; Composite material; Geology; Engineering; Geometry; Mechanical engineering","score_opus":0.02489974420217112,"score_gpt":0.264403023423108,"score_spread":0.2395032792209369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095603137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215631,0.00055456534,0.07677114,0.0002777827,0.000025405072,0.00038453817,0.000013792416,0.00006722677,0.00034243567],"genre_scores_gemma":[0.9771405,0.00005446003,0.022699244,0.000050351195,0.000033558284,0.000005582623,0.0000047361364,0.0000063634657,0.000005191923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899095,0.000036156976,0.00023591865,0.0002938016,0.00026002197,0.00018313718],"domain_scores_gemma":[0.9995164,0.00017535336,0.00007903456,0.000084379215,0.000049250393,0.00009556368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000301484,0.0001394592,0.00023205973,0.00005319027,0.0001256696,0.000060778955,0.00011560565,0.00005761492,0.000019102183],"category_scores_gemma":[0.00009771588,0.00009907225,0.000023493654,0.0005974062,0.00036648236,0.00011926738,0.00003233351,0.0001275973,4.199869e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016722242,0.00003710431,0.0031895423,0.0009943306,0.00021262972,0.0000102505,0.0038300373,0.75885785,0.21474217,0.0062444876,0.000061007555,0.011653398],"study_design_scores_gemma":[0.0005339427,0.00013734549,0.002640205,0.000037602367,0.00020581373,0.000008064715,0.0013154014,0.95949256,0.03441669,0.00089630275,0.00010767355,0.0002083932],"about_ca_topic_score_codex":0.000035314184,"about_ca_topic_score_gemma":0.00001893016,"teacher_disagreement_score":0.20063475,"about_ca_system_score_codex":0.000009992085,"about_ca_system_score_gemma":0.000030874955,"threshold_uncertainty_score":0.4040049},"labels":[],"label_agreement":null},{"id":"W3095792157","doi":"10.3390/app10217771","title":"Numerical Evaluation of the Transient Performance of Rock-Pile Seasonal Thermal Energy Storage Systems Coupled with Exhaust Heat Recovery","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University; Dalhousie University","funders":"","keywords":"Porosity; Heat transfer; Thermal energy storage; Transient (computer programming); Environmental science; Materials science; Waste heat; Thermal; Mechanics; Porous medium; Fluid dynamics; Energy storage; Thermodynamics; Geotechnical engineering; Geology; Heat exchanger; Composite material; Computer science; Physics; Power (physics)","score_opus":0.0464230492430367,"score_gpt":0.24845416390078504,"score_spread":0.20203111465774834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095792157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963734,0.00019092373,0.001537143,0.00004034702,0.000107652595,0.00022417204,0.000011003094,0.00002332424,0.0014920117],"genre_scores_gemma":[0.9998148,0.000012860984,0.000026958473,0.000014625828,0.000056011322,0.00006118249,0.0000024334236,0.000008344513,0.000002786007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985134,0.00004484974,0.00015829779,0.00014550393,0.00096473825,0.00017323522],"domain_scores_gemma":[0.999706,0.000037648057,0.00003377298,0.00010923158,0.00006343281,0.000049957915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055477186,0.00008440064,0.00015703174,0.000029409668,0.00006967904,0.000023728508,0.000275731,0.000027375476,0.00007846386],"category_scores_gemma":[0.000007811267,0.00005263797,0.000021450427,0.00043061186,0.000110540175,0.000086739965,0.000022351669,0.000052260206,0.0000024252156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041893385,0.000009501996,0.00005607305,0.00007127576,0.000008838575,1.1153947e-7,0.00026878537,0.7159581,0.28326848,0.000036122947,0.00002889496,0.00025188303],"study_design_scores_gemma":[0.00024142477,0.00011511822,0.0010553596,0.000028033763,0.000010837888,0.0000010177018,0.00016173956,0.8921611,0.10612845,0.0000015482899,0.000033112512,0.000062300554],"about_ca_topic_score_codex":0.000030572945,"about_ca_topic_score_gemma":0.0000024675326,"teacher_disagreement_score":0.17714004,"about_ca_system_score_codex":0.00004071406,"about_ca_system_score_gemma":0.00010398768,"threshold_uncertainty_score":0.2146514},"labels":[],"label_agreement":null},{"id":"W3095846382","doi":"10.3390/app10217828","title":"The First Evidence of the Insecticidal Potential of Plant Powders from Invasive Alien Plants against Rice Weevil under Laboratory Conditions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Urban Innovative Actions","keywords":"Botany; Ailanthus altissima; Horticulture; Weevil; Biology","score_opus":0.028016125149765186,"score_gpt":0.21358699592970834,"score_spread":0.18557087077994316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095846382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99088204,0.00023858278,0.0000024466763,0.007114631,0.00014038892,0.0002559699,0.00031216748,0.000020537445,0.001033249],"genre_scores_gemma":[0.998289,0.0000821043,0.000011583293,0.0014747877,0.00011439459,0.00001713705,0.000007914899,6.952629e-7,0.0000023871116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99865097,0.00008104893,0.00027388372,0.00027569855,0.00048291645,0.00023545987],"domain_scores_gemma":[0.9981864,0.0013316694,0.00027904246,0.00007841499,0.00006692004,0.00005751652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028083177,0.00012250224,0.00016999365,0.0000075816693,0.0008461578,0.000093873176,0.0009764122,0.000058638212,0.000037648857],"category_scores_gemma":[0.00013137094,0.00003810075,0.000067241584,0.00056840986,0.0011075397,0.00015876605,0.0001399954,0.00010208669,0.00000891786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057857167,0.000022533253,0.0015231054,0.00000720433,0.00002203705,0.0000011673656,0.00048233528,0.00046803182,0.9938251,0.002896534,0.00057399407,0.00012009379],"study_design_scores_gemma":[0.0005693475,0.0006208572,0.651986,0.00020732744,0.00008067998,0.0000034501747,0.03203717,0.0004871509,0.30525512,0.006925072,0.0012872431,0.0005405845],"about_ca_topic_score_codex":0.00066312455,"about_ca_topic_score_gemma":0.0035958937,"teacher_disagreement_score":0.68856996,"about_ca_system_score_codex":0.000012722612,"about_ca_system_score_gemma":0.00011527495,"threshold_uncertainty_score":0.6508047},"labels":[],"label_agreement":null},{"id":"W3096291956","doi":"10.3390/app10217556","title":"Mercury in Marine Mussels from the St. Lawrence Estuary and Gulf (Canada): A Mussel Watch Survey Revisited after 40 Years","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mussel; Estuary; Mytilus; Mercury (programming language); Dry weight; Fishery; Environmental chemistry; Wet weight; Bivalvia; Mollusca; Environmental science; Oceanography; Biology; Ecology; Chemistry; Geology","score_opus":0.02306754738582289,"score_gpt":0.23420926961966979,"score_spread":0.2111417222338469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096291956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920208,0.00010685909,0.000019151072,0.004022698,0.000039904742,0.0002025044,0.00004920543,0.0000142498175,0.0035246548],"genre_scores_gemma":[0.9943111,0.00009148424,0.0003922499,0.00510414,0.000029354504,0.000023712111,0.000010430993,0.000004778611,0.00003275412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985856,0.00008091239,0.00019872819,0.0004034754,0.000469541,0.00026176957],"domain_scores_gemma":[0.99923676,0.00043734774,0.00005891906,0.000144675,0.000005099017,0.000117168674],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061404443,0.00012803481,0.00016855467,0.000010154035,0.00016771298,0.00006900257,0.00034792456,0.000027799972,0.0009885649],"category_scores_gemma":[0.000111124966,0.00008647428,0.000014041513,0.0006734783,0.0005900556,0.00014718337,0.00039452434,0.000118805634,0.00005051918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003477142,0.000011016956,0.9716816,0.0000032514288,0.000007172323,0.000008973728,0.0028567621,0.00003938414,0.0019303052,0.000060739076,0.015491966,0.007874092],"study_design_scores_gemma":[0.00013361603,0.000019145631,0.9934908,0.0000061918486,0.0000054563766,5.671386e-7,0.00082651124,0.00009320744,0.00018427547,0.00032544954,0.0047797244,0.00013501465],"about_ca_topic_score_codex":0.1495005,"about_ca_topic_score_gemma":0.27432537,"teacher_disagreement_score":0.12482486,"about_ca_system_score_codex":0.000032001106,"about_ca_system_score_gemma":0.000046714897,"threshold_uncertainty_score":0.99992466},"labels":[],"label_agreement":null},{"id":"W3096321907","doi":"10.3390/app10217591","title":"An Adaptive Bayesian Melding Method for Reliability Evaluation Via Limited Failure Data: An Application to the Servo Turret","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; People's Government of Jilin Province; National Natural Science Foundation of China; Changchun Science and Technology Planning Project; National Science and Technology Major Project; McMaster University","keywords":"Computer science; Reliability engineering; Reliability (semiconductor); Robustness (evolution); Bayesian probability; Data mining; Resampling; Fuzzy logic; Artificial intelligence; Engineering","score_opus":0.3464720569236783,"score_gpt":0.5029810246991901,"score_spread":0.15650896777551188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096321907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03197239,0.000016889373,0.95350325,0.011002003,0.00022212464,0.002786227,0.00010341003,0.000102356455,0.00029132195],"genre_scores_gemma":[0.6407768,2.8288278e-7,0.35675567,0.0018824685,0.00025800065,0.00027206124,0.0000406604,0.000011415785,0.0000026123107],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9915117,0.000980407,0.00094931765,0.0026015544,0.003493776,0.00046325757],"domain_scores_gemma":[0.9922039,0.003505589,0.00047763728,0.0025748904,0.00083280995,0.00040519141],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.037111808,0.00026815676,0.00039721635,0.00022958365,0.0012078822,0.0012728106,0.006009021,0.00012193218,0.00013845695],"category_scores_gemma":[0.005852278,0.0001682704,0.00007061919,0.003382701,0.00023123018,0.0017497247,0.000633531,0.00019928186,0.000110471294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031556914,0.000098034376,0.00031662345,0.0000058859564,0.000010514407,3.0450013e-7,0.006458827,0.088402435,0.061545365,0.006994523,0.0048175543,0.83103436],"study_design_scores_gemma":[0.00026685715,0.00024368287,0.0011510783,0.000004461612,0.000029089513,0.0000014038396,0.0060972087,0.94682276,0.001892895,0.031788483,0.011462433,0.00023966207],"about_ca_topic_score_codex":0.000062517654,"about_ca_topic_score_gemma":0.00041569545,"teacher_disagreement_score":0.8584203,"about_ca_system_score_codex":0.000066058135,"about_ca_system_score_gemma":0.00022457386,"threshold_uncertainty_score":0.99976397},"labels":[],"label_agreement":null},{"id":"W3096747653","doi":"10.3390/app10217626","title":"Motion Planning of Upper-Limb Exoskeleton Robots: A Review","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Trajectory; Computer science; Motion planning; Kinematics; Artificial intelligence; Exoskeleton; Jerk; Inverse dynamics; Motion (physics); Motion capture; Robot; Simulation; Acceleration","score_opus":0.08551920376804219,"score_gpt":0.39149384975787627,"score_spread":0.3059746459898341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096747653","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007149568,0.9836562,0.00014943587,0.00030051498,0.00020230935,0.0012139513,0.0000061147566,0.000042899992,0.014421416],"genre_scores_gemma":[0.000037171565,0.99730456,0.0018963421,0.0003597607,0.00014996494,0.00009181767,0.000030369376,0.00001542007,0.00011461017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810505,0.00006250221,0.0006749817,0.00046248164,0.00049852557,0.00019644882],"domain_scores_gemma":[0.9988396,0.00034862783,0.00043622663,0.00021942078,0.00004073847,0.0001153894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057826575,0.00023933871,0.0017514692,0.00022899857,0.000074381125,0.000013961731,0.0002284556,0.00013720007,0.000121627054],"category_scores_gemma":[0.00026331795,0.00015503718,0.0005243703,0.0010242612,0.0002844899,0.000043917207,0.000051056577,0.00024725287,0.000099344536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028568008,0.00002564164,0.000018831008,0.07144671,0.000034507353,0.0000023750329,0.00003821093,0.0000014628213,0.0000070632254,0.0005563201,0.0012837935,0.9265822],"study_design_scores_gemma":[0.00009371605,0.00017975594,0.00003078652,0.068043254,0.0005010781,0.00003060565,0.00007586272,0.000005263598,0.0000044132166,0.000028986178,0.93086237,0.0001439312],"about_ca_topic_score_codex":0.0000022349623,"about_ca_topic_score_gemma":8.0089194e-8,"teacher_disagreement_score":0.92957854,"about_ca_system_score_codex":0.000056956327,"about_ca_system_score_gemma":0.00043045986,"threshold_uncertainty_score":0.63222325},"labels":[],"label_agreement":null},{"id":"W3096837140","doi":"10.3390/app10217489","title":"Air Pollution Associates with Cancer Incidences in Poland","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pollutant; Environmental health; Air pollution; Population; Environmental science; Pollution; Lung cancer; Environmental protection; Medicine; Pathology; Ecology","score_opus":0.04642393131373953,"score_gpt":0.30562268090636113,"score_spread":0.2591987495926216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096837140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9338271,0.00007409704,0.00011238444,0.048955,0.000047039808,0.00018916128,0.000004715913,0.00003801206,0.01675251],"genre_scores_gemma":[0.9838382,0.000029445797,0.00076168915,0.015281931,0.000045180368,0.000016859918,5.350905e-7,0.0000027680455,0.000023376339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998827,0.000030598992,0.0001377352,0.0002762917,0.00040802304,0.00032039525],"domain_scores_gemma":[0.99967724,0.00004632867,0.00007997308,0.000048060258,0.0000022302802,0.0001461806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049429346,0.0000807681,0.00011298922,0.000020113981,0.00024395906,0.000026766502,0.0002231491,0.000037981215,0.00044941352],"category_scores_gemma":[0.00003088555,0.000056897974,0.000009380358,0.0007337319,0.00044630456,0.0002450234,0.00006320574,0.00009808652,0.00013138399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007579227,0.000053892934,0.9455725,0.00002554213,0.0000043137884,0.0000030362128,0.009761436,0.020238318,0.0020234731,0.0025593236,0.009484259,0.010198124],"study_design_scores_gemma":[0.0003435921,0.00020872251,0.98592836,0.000022892886,0.000004372128,6.942096e-7,0.0019287266,0.00146582,0.0009601652,0.0019927388,0.006926827,0.00021709237],"about_ca_topic_score_codex":0.0033658068,"about_ca_topic_score_gemma":0.004204602,"teacher_disagreement_score":0.050011136,"about_ca_system_score_codex":0.000098017226,"about_ca_system_score_gemma":0.00007325225,"threshold_uncertainty_score":0.50881153},"labels":[],"label_agreement":null},{"id":"W3097103183","doi":"10.3390/app10217748","title":"Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":398,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University","funders":"Ryerson University","keywords":"Recommender system; Computer science; Information overload; Field (mathematics); Data science; Quality (philosophy); World Wide Web","score_opus":0.214370222240161,"score_gpt":0.2810348115815397,"score_spread":0.0666645893413787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097103183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00060180586,0.0043457346,0.7964707,0.044034522,0.00075886864,0.0005839309,0.0000057954103,0.00086215016,0.1523365],"genre_scores_gemma":[0.9530645,0.0034904205,0.04200724,0.0011144169,0.00019226281,0.000078521734,0.0000039689508,0.000009074667,0.00003958003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998669,0.0000568373,0.00025744422,0.00051209936,0.00027881342,0.00022575537],"domain_scores_gemma":[0.9993675,0.000106729065,0.00014046158,0.00017466593,0.00007351403,0.00013712869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008852211,0.0001377765,0.00020867772,0.00016105213,0.00026736982,0.00048526298,0.0006807084,0.00005315789,0.00000687558],"category_scores_gemma":[0.000026986338,0.00011316893,0.000016087082,0.0007933715,0.000115025396,0.0006048654,0.000287406,0.000077755074,0.0000089410205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.842743e-7,0.000012580266,0.000033077416,0.000058423077,0.0000075201733,0.0000025571505,0.0007181368,0.0000040889786,0.00005114645,0.55264205,0.002864881,0.44360474],"study_design_scores_gemma":[0.0005794372,0.00038578207,0.0008156502,0.000070726484,0.00001703894,0.00006879935,0.010177913,0.10839037,0.0013009873,0.010592076,0.8664815,0.0011197398],"about_ca_topic_score_codex":0.00007034769,"about_ca_topic_score_gemma":0.0000023230334,"teacher_disagreement_score":0.95246273,"about_ca_system_score_codex":0.000016234573,"about_ca_system_score_gemma":0.00006338632,"threshold_uncertainty_score":0.4679402},"labels":[],"label_agreement":null},{"id":"W3097523643","doi":"10.3390/app10217522","title":"Robust Deep Speaker Recognition: Learning Latent Representation with Joint Angular Margin Loss","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Softmax function; Speaker recognition; Speech recognition; Artificial intelligence; Biometrics; TIMIT; Pattern recognition (psychology); Codebook; Machine learning; Convolutional neural network; Hidden Markov model","score_opus":0.10564192273135432,"score_gpt":0.23738835881611736,"score_spread":0.13174643608476305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097523643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.213821,0.000060923132,0.71788275,0.008519362,0.00016567671,0.00046404227,0.0000016886296,0.00055422593,0.05853032],"genre_scores_gemma":[0.8296731,0.000018456461,0.16875681,0.0013311267,0.00010786644,0.000033578435,0.0000054230177,0.000008214895,0.00006543181],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982393,0.00006882338,0.00021111818,0.00064050796,0.00055837695,0.00028191294],"domain_scores_gemma":[0.9993998,0.000083649866,0.00011752362,0.00016729746,0.00007259301,0.00015916709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040862762,0.00013765744,0.00017052556,0.00009212114,0.0003655252,0.00036729893,0.00046141606,0.00004024891,0.00032516374],"category_scores_gemma":[0.000061678365,0.00010805017,0.00004844875,0.0010870319,0.00020676162,0.00044333097,0.000116149335,0.00014534083,0.00050829933],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009231982,0.00022593547,0.006850819,0.00005984329,0.00008864399,0.00029295814,0.007937954,0.014960989,0.013377083,0.015900189,0.0015419903,0.9386713],"study_design_scores_gemma":[0.003763789,0.0017288484,0.026110765,0.00021950276,0.00012048559,0.0004479056,0.010190612,0.60230446,0.3181684,0.022626294,0.011166787,0.0031521586],"about_ca_topic_score_codex":0.000011148798,"about_ca_topic_score_gemma":0.000008286309,"teacher_disagreement_score":0.9355191,"about_ca_system_score_codex":0.000018460521,"about_ca_system_score_gemma":0.000050936633,"threshold_uncertainty_score":0.65333295},"labels":[],"label_agreement":null},{"id":"W3099475345","doi":"10.3390/app10217937","title":"Freshness Monitoring of Packaged Vegetables","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Active packaging; Food packaging; Food spoilage; Food safety; Risk analysis (engineering); Quality (philosophy); Business; Computer science; Engineering; Food science","score_opus":0.02866943302751836,"score_gpt":0.2279569111624635,"score_spread":0.19928747813494513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099475345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898436,0.00029832183,0.0016648074,0.00008410126,0.000059412483,0.000049562135,0.0000014518881,0.0005440187,0.0074547357],"genre_scores_gemma":[0.9913172,0.000029267563,0.008592522,0.0000096844215,0.00003682607,0.0000061571977,1.675881e-7,0.0000063906414,0.0000017465118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994681,0.0000013780599,0.00010514967,0.00012603957,0.00014141291,0.00015791877],"domain_scores_gemma":[0.999814,0.000048091748,0.000018940713,0.0000787315,0.0000070289525,0.000033223532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002494716,0.00006972697,0.000110518275,0.000021980833,0.00004065177,0.000010452288,0.00029339464,0.000037450078,0.0000064057467],"category_scores_gemma":[0.00003680823,0.000060322516,0.000014961235,0.00038363243,0.00021797119,0.000061460596,0.000039733288,0.00008306482,0.000010259452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.533658e-7,0.0000017464532,0.0010194742,0.00002542335,0.000002918164,4.2524545e-7,0.000098007,0.013693971,0.9807568,0.0016312932,0.000035885343,0.002733162],"study_design_scores_gemma":[0.00004677914,0.000007761945,0.0002542473,0.0000063710336,0.0000018610679,1.6046327e-7,0.00057299115,0.0008302127,0.99613595,0.001786835,0.00028201347,0.0000748096],"about_ca_topic_score_codex":6.747306e-7,"about_ca_topic_score_gemma":1.5405078e-7,"teacher_disagreement_score":0.015379116,"about_ca_system_score_codex":0.0000079084275,"about_ca_system_score_gemma":0.0000017714219,"threshold_uncertainty_score":0.24598809},"labels":[],"label_agreement":null},{"id":"W3100319365","doi":"10.3390/app10217925","title":"Thermodynamic, Economic and Sustainability Analysis of Solar Organic Rankine Cycle System with Zeotropic Working Fluid Mixtures for Micro-Cogeneration in Buildings","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Organic Rankine cycle; Zeotropic mixture; Process engineering; Renewable energy; Environmental science; Cogeneration; Fossil fuel; Degree Rankine; Waste management; Stirling engine; Electricity generation; Waste heat; Thermodynamics; Heat exchanger; Mechanical engineering; Engineering; Power (physics); Refrigerant","score_opus":0.005274108664036528,"score_gpt":0.19733926417924827,"score_spread":0.19206515551521175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100319365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80759007,0.00031011703,0.19160908,0.000040275598,0.000027892884,0.00019124727,0.0000048155466,0.000043228014,0.0001832709],"genre_scores_gemma":[0.99943405,0.000012219909,0.00047010323,0.000013148734,0.000031449043,0.000021356816,0.0000058792557,0.000010117182,0.0000016696553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992081,0.000012801202,0.00025396902,0.00025922142,0.00008313579,0.000182791],"domain_scores_gemma":[0.99974334,0.00004456929,0.000058289683,0.00009360996,0.000019132844,0.000041069696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442411,0.00011882939,0.00033270105,0.0001343748,0.00008636371,0.000043229535,0.00015945034,0.00004406719,0.000005055203],"category_scores_gemma":[0.0000046304162,0.00009553412,0.000050758117,0.00044431075,0.000100491976,0.000049352646,0.000016894737,0.00004285981,4.3124174e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095944146,0.0000130292465,0.008452651,0.00036007146,0.0004410678,0.0000010354024,0.0024735888,0.7444275,0.22831503,0.013508989,0.0000073975216,0.0019036749],"study_design_scores_gemma":[0.00027600914,0.000036890742,0.00099452,0.000015752335,0.00017536334,6.7078804e-7,0.0018147207,0.9932126,0.003193611,0.00012809415,0.000013155576,0.0001386431],"about_ca_topic_score_codex":0.000105990526,"about_ca_topic_score_gemma":0.00016327093,"teacher_disagreement_score":0.24878503,"about_ca_system_score_codex":0.000082138155,"about_ca_system_score_gemma":0.000035490546,"threshold_uncertainty_score":0.38957682},"labels":[],"label_agreement":null},{"id":"W3101459936","doi":"10.3390/app10227968","title":"Experimental Devices to Investigate the Long-Term Stability of Phase Change Materials under Application Conditions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Agencia Estatal de Investigación; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Horizon 2020 Framework Programme; Natural Sciences and Engineering Research Council of Canada; Energiteknologisk udviklings- og demonstrationsprogram; Energistyrelsen; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Bundesministerium für Wirtschaft und Energie; Institució Catalana de Recerca i Estudis Avançats; Generalitat de Catalunya; Hochschule Luzern; Comunidad de Madrid; Agence Nationale de la Recherche; Ministerio de Ciencia, Innovación y Universidades; European Commission; Projektträger Jülich; Intel Corporation","keywords":"Materials science; Phase change; Supercooling; Temperature cycling; Phase-change material; Thermal energy storage; Stability (learning theory); Slurry; Thermal; Nuclear engineering; Process engineering; Thermodynamics; Mechanical engineering; Composite material; Computer science; Engineering","score_opus":0.1922027663864824,"score_gpt":0.3783935573132229,"score_spread":0.18619079092674048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101459936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691844,0.000084714484,0.0007219124,0.0007859484,0.00007481176,0.00081838365,0.000114858776,0.000093360715,0.00038754384],"genre_scores_gemma":[0.99863994,0.0000038737257,0.000107355845,0.00047470606,0.00011875782,0.0006216219,0.000023255565,0.000010109597,3.9517465e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990701,0.00003074899,0.00019647922,0.00022129729,0.00026756228,0.00021382907],"domain_scores_gemma":[0.99960184,0.000049383394,0.000036849244,0.00016613869,0.000019905192,0.00012585944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032398093,0.00010403276,0.0001439199,0.000043663822,0.00013434894,0.00008301637,0.00040694713,0.000027733218,0.00031576015],"category_scores_gemma":[0.000010478991,0.000077195065,0.000014986673,0.00040174907,0.0003640242,0.00013667691,0.00010153176,0.000037718914,0.00007122108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008960828,0.000028575887,0.00007574607,0.000051297502,0.000005625967,2.0903282e-7,0.0017298363,0.00006331729,0.99671394,0.0011216792,0.000050836257,0.00014998471],"study_design_scores_gemma":[0.00017867427,0.000056834488,0.0014168544,0.0000068429017,0.000003963316,4.2638976e-7,0.00058450137,0.00036048578,0.99715286,0.00010518393,0.00004516186,0.00008822736],"about_ca_topic_score_codex":0.000024980876,"about_ca_topic_score_gemma":0.0000149478265,"teacher_disagreement_score":0.0017214584,"about_ca_system_score_codex":0.000028135632,"about_ca_system_score_gemma":0.000019121288,"threshold_uncertainty_score":0.34573522},"labels":[],"label_agreement":null},{"id":"W3104160688","doi":"10.3390/app10228121","title":"Seismic Analysis of a Large LNG Tank Considering Different Site Conditions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Slosh dynamics; Finite element method; Liquefied natural gas; Storage tank; Structural engineering; Engineering; Resilience (materials science); Marine engineering; von Mises yield criterion; Rollover (web design); Surge tank; Geotechnical engineering; Environmental science; Petroleum engineering; Natural gas; Materials science; Mechanical engineering; Computer science; Waste management","score_opus":0.01651640786528311,"score_gpt":0.25394298348427086,"score_spread":0.23742657561898775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104160688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93931514,0.000024886376,0.052644674,0.00015421132,0.000056023422,0.00006618104,0.00009396957,0.00009635775,0.007548586],"genre_scores_gemma":[0.999377,0.0000073072574,0.00043595405,0.00011867561,0.000013283873,0.000009583245,0.000025195126,0.0000048442,0.000008123375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994421,0.0000048156057,0.00017497031,0.00012987168,0.0001154132,0.00013281204],"domain_scores_gemma":[0.99973744,0.00008558782,0.000026925181,0.0000812144,0.000016697575,0.000052123338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004595156,0.00007194351,0.00015586012,0.00017929747,0.00013309467,0.0000328945,0.000090378046,0.000020619284,0.00023887733],"category_scores_gemma":[0.000009752781,0.00006600972,0.00006633472,0.0009776851,0.00007142814,0.000084300664,0.000024438852,0.000062376566,0.000018769648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.40024e-7,0.000009662909,0.0016761818,0.0000064227306,0.0001023452,1.9430291e-7,0.00043065517,0.9499766,0.028515887,0.019127414,0.00012819107,0.000025861222],"study_design_scores_gemma":[0.00006829479,0.000008832245,0.006222651,0.0000030658093,0.000104854924,2.0801556e-7,0.0002610018,0.99138993,0.0013314654,0.00017235619,0.00036300844,0.00007430916],"about_ca_topic_score_codex":0.000007631736,"about_ca_topic_score_gemma":0.00005651915,"teacher_disagreement_score":0.060061924,"about_ca_system_score_codex":0.00001499501,"about_ca_system_score_gemma":0.00000847438,"threshold_uncertainty_score":0.26917982},"labels":[],"label_agreement":null},{"id":"W3104441923","doi":"10.3390/app112411738","title":"Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Convolutional neural network; Facial expression; Artificial intelligence; ENCODE; Affective computing; Representation (politics); Pattern recognition (psychology); Deep learning","score_opus":0.042285653850789647,"score_gpt":0.2835511039515618,"score_spread":0.24126545010077216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104441923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8302658,0.00011693069,0.020669878,0.00077754125,0.0010568819,0.00024056206,0.000011434685,0.00013835214,0.14672258],"genre_scores_gemma":[0.99683094,0.00000511841,0.001278841,0.00083390996,0.00024957352,0.000037996306,0.00019323194,0.000008196589,0.00056219555],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988197,0.0000872928,0.00018364238,0.00040219966,0.00024347087,0.0002636607],"domain_scores_gemma":[0.9995179,0.00006592583,0.000111437774,0.00010685793,0.00012808964,0.00006979937],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030265926,0.00011031736,0.00012457054,0.00006916889,0.00028728138,0.00007201607,0.00008488211,0.000089358735,0.0017940352],"category_scores_gemma":[0.0000121021485,0.00009387074,0.00003564595,0.00044128817,0.00031487312,0.00012060279,0.000018422883,0.00014175264,0.00021895676],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005434107,0.0014049584,0.028922562,0.0000371149,0.0002093427,0.00017631454,0.003475004,0.0025670973,0.004478364,0.11368024,0.015310968,0.8291946],"study_design_scores_gemma":[0.022206716,0.004183106,0.7332898,0.000411653,0.000566818,0.0034176323,0.06508504,0.07099629,0.021034745,0.057911023,0.015703501,0.005193719],"about_ca_topic_score_codex":0.000027166529,"about_ca_topic_score_gemma":0.00006631124,"teacher_disagreement_score":0.8240009,"about_ca_system_score_codex":0.000017717764,"about_ca_system_score_gemma":0.000054066808,"threshold_uncertainty_score":0.99911845},"labels":[],"label_agreement":null},{"id":"W3105517543","doi":"10.3390/app10228119","title":"Environmentally Friendly Approach for the Production of Glucose and High-Purity Xylooligosaccharides from Edible Biomass Byproducts","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Korea Evaluation Institute of Industrial Technology; Korea Research Institute of Chemical Technology; Ministry of Trade, Industry and Energy","keywords":"Chemistry; Food science; Sugar; Yield (engineering); Environmentally friendly; Bagasse; Biomass (ecology); Reducing sugar; Pulp and paper industry; Agronomy; Materials science","score_opus":0.017937384075493102,"score_gpt":0.19440923605328395,"score_spread":0.17647185197779083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105517543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845434,0.0013316447,0.0059368173,0.0026478884,0.0005572684,0.00067290774,0.000031148345,0.00010748043,0.0002605133],"genre_scores_gemma":[0.9895633,0.00014993266,0.009906254,0.00006099038,0.00026575927,0.000029406376,0.000010949852,0.000006532704,0.000006905383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918664,0.0000070206993,0.0001334381,0.00036061107,0.00017623005,0.00013608254],"domain_scores_gemma":[0.99974227,0.000030434125,0.000041859217,0.00013022123,0.000008774029,0.000046437443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023051156,0.000100217636,0.00010656684,0.000026981652,0.00019204817,0.000033138716,0.00018838464,0.000041220665,0.000016510956],"category_scores_gemma":[0.000021918304,0.000068598216,0.000020119047,0.00020727461,0.00039034383,0.0001237049,0.000050645478,0.00006216032,0.0000043797836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024417182,0.000024967301,0.00018396464,0.00010931373,0.000020714784,3.9330825e-8,0.00041853928,0.00072659645,0.9923958,0.0003690144,0.0017327473,0.0039938805],"study_design_scores_gemma":[0.00014381294,0.000056327626,0.0013936933,0.0000024401686,0.000022669195,5.144044e-7,0.0010277493,0.0058786524,0.98801094,0.0003073644,0.0030413528,0.000114474184],"about_ca_topic_score_codex":0.000039102346,"about_ca_topic_score_gemma":8.9281605e-7,"teacher_disagreement_score":0.005152056,"about_ca_system_score_codex":0.000009346047,"about_ca_system_score_gemma":0.0000095482455,"threshold_uncertainty_score":0.2797354},"labels":[],"label_agreement":null},{"id":"W3106692822","doi":"10.3390/app10238585","title":"Minimization of Global Adjustment Charges for Large Electricity Customers Using Energy Storage—Canadian Market Case Study","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electricity; Energy storage; Environmental economics; Revenue; Deferral; Arbitrage; Context (archaeology); Grid; Sizing; Computer science; Electricity market; Minification; Business; Reliability engineering; Economics; Power (physics); Engineering; Finance; Electrical engineering","score_opus":0.014344195372686361,"score_gpt":0.22577327479317302,"score_spread":0.21142907942048667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106692822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8298463,0.0013928531,0.16318122,0.00012913668,0.00038041937,0.0012826273,0.00017576794,0.00017428005,0.0034373873],"genre_scores_gemma":[0.9980425,0.000020949112,0.0017254928,0.000115895375,0.00005767421,0.00002432156,0.0000045558595,0.000006526047,0.0000020384632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928135,0.000013586067,0.00015704475,0.00017912361,0.00012237769,0.0002465228],"domain_scores_gemma":[0.9997419,0.000019087987,0.00004119596,0.00005546139,0.000031950156,0.000110364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015327039,0.000094836316,0.00013305129,0.000056270586,0.00014761648,0.000026132499,0.00011318041,0.000032969263,0.000028441804],"category_scores_gemma":[0.000010269991,0.00009218515,0.000025242409,0.0006173923,0.000021712594,0.00007480074,0.00001099002,0.000023303057,5.402702e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043242344,0.00010677025,0.0023230985,0.000061519735,0.00009138565,0.000022342383,0.001379528,0.9684534,0.0026016817,0.0034525306,0.0019561294,0.019508354],"study_design_scores_gemma":[0.0004629621,0.00006954554,0.0001949458,0.0000018519111,0.00003245079,0.0000067317696,0.0014554983,0.99638265,0.0004791857,0.000012984245,0.00078104704,0.00012016207],"about_ca_topic_score_codex":0.0016258089,"about_ca_topic_score_gemma":0.0041335486,"teacher_disagreement_score":0.16819623,"about_ca_system_score_codex":0.00008633729,"about_ca_system_score_gemma":0.00008352426,"threshold_uncertainty_score":0.37592015},"labels":[],"label_agreement":null},{"id":"W3108118078","doi":"10.3390/app10238639","title":"Particle Image Velocimetry Measurements of the Flow-Diverting Effects of a New Generation of the eCLIPs Implant for the Treatment of Intracranial Bifurcation Aneurysms","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Particle image velocimetry; Bifurcation; Aneurysm; Medicine; Implant; Flow (mathematics); Biomedical engineering; Anatomy; Radiology; Surgery; Mechanics; Physics; Turbulence","score_opus":0.07271381711041286,"score_gpt":0.2843599685235868,"score_spread":0.21164615141317394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108118078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516404,0.00013111054,0.0010833327,0.0022266791,0.000100507365,0.0011904885,0.000011466983,0.000005726333,0.0000866294],"genre_scores_gemma":[0.99830675,0.000011711391,0.0014222694,0.00010545522,0.000088765795,0.00004800335,0.0000027846556,0.000003871983,0.000010407335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991141,0.00002929893,0.00028574394,0.00014465903,0.00031953354,0.0001066799],"domain_scores_gemma":[0.9992781,0.00016326476,0.00025654538,0.00018694083,0.000086243184,0.000028884058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015053953,0.000081369886,0.00017141776,0.000015123487,0.00019092046,0.0000069700045,0.00019560411,0.00002287825,0.000006797298],"category_scores_gemma":[0.00007817019,0.000036472153,0.000100954145,0.00039164972,0.00023186152,0.000031934745,0.00002196914,0.000026749976,7.5079924e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100219244,0.00022613123,0.0052043917,0.000057668567,0.000047309997,1.2426442e-7,0.0022970918,0.00015160345,0.9760823,0.0005357349,0.00006209252,0.015235321],"study_design_scores_gemma":[0.0008544222,0.0005826571,0.026264789,0.000017671393,0.00026277572,0.0000032397286,0.00018345866,0.008668958,0.9629632,0.00014720869,0.00001785282,0.000033757115],"about_ca_topic_score_codex":0.0000956788,"about_ca_topic_score_gemma":0.000019580042,"teacher_disagreement_score":0.021060396,"about_ca_system_score_codex":0.000018208975,"about_ca_system_score_gemma":0.00011370411,"threshold_uncertainty_score":0.14872912},"labels":[],"label_agreement":null},{"id":"W3108183972","doi":"10.3390/app10228269","title":"Effectiveness of Using a Patient Simulator with Real-Time Feedback to Improve Light-Curing Skills of Dental Students","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wilcoxon signed-rank test; Simulation; Medicine; Computer science; Physical therapy; Mann–Whitney U test; Internal medicine","score_opus":0.014457960296810195,"score_gpt":0.3209878387588397,"score_spread":0.3065298784620295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108183972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978578,0.000012016184,0.0002561239,0.000007661689,0.00005631091,0.0006919898,0.000021215603,0.000021762497,0.0010751081],"genre_scores_gemma":[0.9994642,7.5936885e-7,0.00042366266,0.000047087382,0.000015963145,0.00001997243,0.0000012336743,0.00001142901,0.000015699905],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975825,0.000063553016,0.00025772056,0.00044305238,0.0013324153,0.00032074],"domain_scores_gemma":[0.9990698,0.00027680895,0.00014176336,0.00016952047,0.00006170708,0.0002803707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004265277,0.00013931579,0.00028614706,0.000093037685,0.00012198934,0.000078672936,0.0005869155,0.000036070072,0.000048341848],"category_scores_gemma":[0.000118200136,0.00010722633,0.000054264317,0.0007630279,0.00021235518,0.00013029184,0.0004136686,0.00007237379,0.00008420995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058989023,0.00021577212,0.03605227,0.00022546765,0.00004111901,0.00002336274,0.00062072877,0.0022661025,0.95920324,0.00024908336,0.000016181051,0.00049680826],"study_design_scores_gemma":[0.0014949001,0.001151453,0.032359697,0.00018098428,0.00002514936,0.0000050304443,0.0013331062,0.0007608004,0.96228814,0.00015550462,0.000011821733,0.00023338529],"about_ca_topic_score_codex":0.00020426407,"about_ca_topic_score_gemma":0.000014355733,"teacher_disagreement_score":0.003692573,"about_ca_system_score_codex":0.0000731875,"about_ca_system_score_gemma":0.0001453664,"threshold_uncertainty_score":0.4372563},"labels":[],"label_agreement":null},{"id":"W3108758723","doi":"10.3390/app10228286","title":"Strain Rate Dependent Behavior of Vinyl Nitrile Helmet Foam in Compression and Combined Compression and Shear","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Composite material; Materials science; Nitrile; Vinyl ester; Compression (physics); Strain rate; Shear (geology); Polypropylene; Shear stress; Compressive strength; Chemistry; Monomer; Polymer","score_opus":0.04240933371755275,"score_gpt":0.2977196895686423,"score_spread":0.2553103558510896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108758723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981758,0.0001490466,0.00018257307,0.0003076246,0.000031763593,0.0004360148,0.000023189386,0.000021915606,0.0006720623],"genre_scores_gemma":[0.99888945,0.0000508342,0.0006830613,0.0003050623,0.000020369142,0.0000140722295,0.000009610412,0.0000056627373,0.00002189314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990298,0.00003406453,0.00022350329,0.0003063376,0.00024639655,0.00015988645],"domain_scores_gemma":[0.9996088,0.00007042655,0.000088711415,0.00008233694,0.000021150967,0.00012857903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003286916,0.000106514846,0.00027570355,0.00009851786,0.00011786333,0.000023651068,0.00009812495,0.00005642505,0.00006121483],"category_scores_gemma":[0.000018078628,0.0000808513,0.00001671037,0.00021412784,0.0003093296,0.00006377044,0.00013108792,0.00012230966,0.0000030186895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020931827,0.000150438,0.008388223,0.000071031725,0.00000531667,0.000011882575,0.001076094,0.0000031062477,0.9795497,0.0023885015,0.00012158491,0.008024773],"study_design_scores_gemma":[0.009447585,0.0044641756,0.29829568,0.00044887123,0.0001726921,0.000022740915,0.006327821,0.011125471,0.6644398,0.003969801,0.0006772233,0.000608137],"about_ca_topic_score_codex":0.000018297345,"about_ca_topic_score_gemma":0.000005738194,"teacher_disagreement_score":0.3151099,"about_ca_system_score_codex":0.000008611444,"about_ca_system_score_gemma":0.000036362337,"threshold_uncertainty_score":0.32970202},"labels":[],"label_agreement":null},{"id":"W3109254873","doi":"10.3390/app10228213","title":"Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation; National Research Foundation of Korea; National Institute of Forest Science","keywords":"Environmental science; Index (typography); Meteorology; Deforestation (computer science); Environmental resource management; Geography; Computer science","score_opus":0.018258354067736682,"score_gpt":0.2157909075507705,"score_spread":0.1975325534830338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109254873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834047,0.000010043301,0.00307347,0.0012626456,0.00008469822,0.00047120333,0.000006882801,0.000080594094,0.011605789],"genre_scores_gemma":[0.9961977,0.0000010159246,0.0020027407,0.0016734087,0.000057759335,0.000032193482,0.0000021874118,0.000012726871,0.000020255407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802095,0.00005310496,0.00023483223,0.00063713215,0.0006166269,0.00043733802],"domain_scores_gemma":[0.99929434,0.0001722942,0.00013558759,0.00018796373,0.0000023051737,0.00020752002],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057788653,0.00018783283,0.00019504833,0.000054100197,0.0002426174,0.000097144126,0.0006371297,0.00006987984,0.00016534702],"category_scores_gemma":[0.00012282375,0.00015585586,0.00003440594,0.0011654801,0.00025901053,0.00014501832,0.00013278789,0.00019624646,0.0009925135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037575788,0.000025459443,0.93723035,0.000013140512,0.0000023591833,0.000010074775,0.0029191657,0.037374094,0.000422723,0.00034324647,0.0009964663,0.020625329],"study_design_scores_gemma":[0.0008728014,0.00023828752,0.6330791,0.000054022392,0.0000057560196,0.0000010001071,0.00060941296,0.36105663,0.001116873,0.00060011796,0.0018682227,0.00049778057],"about_ca_topic_score_codex":0.0034559744,"about_ca_topic_score_gemma":0.0025894518,"teacher_disagreement_score":0.32368252,"about_ca_system_score_codex":0.00015477066,"about_ca_system_score_gemma":0.00011786646,"threshold_uncertainty_score":0.9997853},"labels":[],"label_agreement":null},{"id":"W3109375891","doi":"10.3390/app10228251","title":"Novel Bionic Design Method for Skeleton Structures Based on Load Path Analysis","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Key Research and Development Program of China; Department of Education of Hebei Province","keywords":"Structural engineering; Stiffness; Computer science; Path (computing); Frame (networking); Design for manufacturability; Aerospace; Engineering; Mechanical engineering","score_opus":0.03544304001554543,"score_gpt":0.2704108905349255,"score_spread":0.23496785051938007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109375891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012842428,0.000027063234,0.99745005,0.00023231354,0.0000536013,0.00012944997,0.000011675421,0.00022465305,0.0005869554],"genre_scores_gemma":[0.7126445,0.0000013161698,0.28696573,0.0003131263,0.000038972797,0.000018916442,0.000006386863,0.000007717627,0.0000033371698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907535,0.000009534115,0.0001584987,0.0002836607,0.00027510867,0.00019782984],"domain_scores_gemma":[0.99954736,0.00018993719,0.000029849984,0.000118254036,0.000022584501,0.00009203204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024389448,0.0001458986,0.00021271882,0.00016488039,0.00012282845,0.00007544907,0.00022327072,0.000047843365,0.000070773516],"category_scores_gemma":[0.000037924645,0.00011559186,0.00012526193,0.0016310071,0.000045138037,0.000043210635,0.00000765751,0.00006845149,0.000005546471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006041375,0.00000181952,0.0000035718301,0.000010913913,0.00007353273,8.5436454e-8,0.00007065462,0.9556167,0.036275096,0.00213432,0.00015380699,0.0056534326],"study_design_scores_gemma":[0.00017139973,0.000042954427,0.00025487598,0.0000014255515,0.00013141011,1.1405081e-7,0.00006700702,0.97193956,0.026802747,0.00020563918,0.00022828595,0.00015457836],"about_ca_topic_score_codex":0.000012071618,"about_ca_topic_score_gemma":0.0000039505603,"teacher_disagreement_score":0.7113603,"about_ca_system_score_codex":0.000035672543,"about_ca_system_score_gemma":0.000035452827,"threshold_uncertainty_score":0.47136992},"labels":[],"label_agreement":null},{"id":"W3109471759","doi":"10.3390/app10238565","title":"Lincomycin-Induced Transcriptional Alterations in the Green Alga Raphidocelis subcapitata","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Key Research and Development Projects of Shaanxi Province","keywords":"Photosynthesis; Transcriptome; Lincomycin; Biology; Algae; Biochemistry; Growth inhibition; Metabolism; Botany; Chemistry; Cell growth; Gene; Gene expression","score_opus":0.07262908781610586,"score_gpt":0.287414557864155,"score_spread":0.21478547004804913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109471759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9165494,0.000025274137,0.00014691116,0.035551075,0.000039657494,0.0002479114,0.0000058112178,0.000021398533,0.047412552],"genre_scores_gemma":[0.9879675,0.000010418809,0.0003679136,0.011557367,0.0000526662,0.000008039427,0.000003666366,0.0000037964771,0.000028618677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987118,0.000044677683,0.00016894338,0.0003231063,0.00047099113,0.00028048456],"domain_scores_gemma":[0.99967754,0.0000633082,0.00002946295,0.00009743525,8.3399067e-7,0.00013139809],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003493066,0.00011040241,0.00008971101,0.000019032499,0.00027164558,0.0000662069,0.0005627092,0.000028549139,0.001009608],"category_scores_gemma":[0.000010887189,0.00007123463,0.00003585875,0.0005566815,0.00041682803,0.00023331273,0.00007985608,0.00015565398,0.0006110281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024667455,0.00020940664,0.011872919,0.0000067162514,0.000005095416,0.000013427894,0.0064146863,0.00075098884,0.9615038,0.011628914,0.0016888079,0.0058805402],"study_design_scores_gemma":[0.0032967746,0.00089478336,0.7216707,0.00003235376,0.0000770184,0.000051167888,0.009994063,0.024673464,0.16009255,0.022296673,0.055250205,0.0016702886],"about_ca_topic_score_codex":0.00013481593,"about_ca_topic_score_gemma":0.00006953607,"teacher_disagreement_score":0.8014113,"about_ca_system_score_codex":0.000020551093,"about_ca_system_score_gemma":0.000009010038,"threshold_uncertainty_score":0.9999036},"labels":[],"label_agreement":null},{"id":"W3109806963","doi":"10.3390/app10238363","title":"Optimal Control as a Tool for Innovation in Aerial Twisting on a Trampoline","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Mitacs","keywords":"Trampoline; Kinematics; Computer science; Robustness (evolution); Simulation; Twist; Rotation (mathematics); Control theory (sociology); Mathematics; Geometry; Artificial intelligence; Physics; Control (management); Classical mechanics","score_opus":0.053103184349187205,"score_gpt":0.32234825284113205,"score_spread":0.26924506849194485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109806963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923903,0.000004145219,0.0005738777,0.0018854461,0.00005618351,0.00044383257,0.0000015976556,0.00003204727,0.0046125734],"genre_scores_gemma":[0.9914634,5.486233e-7,0.0027593973,0.0052751647,0.00041160945,0.000067016415,0.000008027371,0.000004573655,0.000010237246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992186,0.0000012562195,0.00022765595,0.00019674319,0.00017396006,0.00018178922],"domain_scores_gemma":[0.9998037,0.00003950319,0.00006277711,0.000041089086,0.000023269533,0.000029667874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039152178,0.00006613464,0.00014681589,0.000094288414,0.00007796856,0.00002145573,0.00005725328,0.00003030533,0.000024284469],"category_scores_gemma":[0.00010550759,0.00005273654,0.000017306036,0.0005909598,0.000082564635,0.00005505638,0.000005636508,0.00007696148,0.0000108951335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014001252,0.00062209525,0.1440461,0.00034553334,0.00008284181,0.000077748664,0.024318185,0.019651206,0.30981523,0.34872434,0.001221236,0.13709421],"study_design_scores_gemma":[0.096548446,0.017881202,0.21309656,0.0006831338,0.000252209,0.000080350306,0.018626679,0.4924278,0.12070373,0.00420766,0.033355054,0.0021371804],"about_ca_topic_score_codex":0.000006132137,"about_ca_topic_score_gemma":0.0000011068084,"teacher_disagreement_score":0.4727766,"about_ca_system_score_codex":0.0000117687405,"about_ca_system_score_gemma":0.00012278056,"threshold_uncertainty_score":0.21505338},"labels":[],"label_agreement":null},{"id":"W3109960402","doi":"10.3390/app10238364","title":"Impacts on Metabolism and Gill Physiology of Darter Species (Etheostoma spp.) That Are Attributed to Wastewater Effluent in the Grand River","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Etheostoma; Effluent; Biology; Wastewater; Sewage; Ecology; Environmental science; Fishery; Fish <Actinopterygii>; Environmental engineering","score_opus":0.025359501573305875,"score_gpt":0.2215835699616872,"score_spread":0.19622406838838133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109960402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855609,0.000012992817,0.0000081240105,0.0067613362,0.000040695795,0.00030522936,0.00000587785,0.000008336094,0.0072965105],"genre_scores_gemma":[0.99218136,0.000021466301,0.00010898681,0.007620106,0.000013027307,0.000023215778,7.467893e-7,0.0000022624167,0.00002881565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908715,0.000052438932,0.00010762038,0.0003092801,0.00020607942,0.00023741217],"domain_scores_gemma":[0.99968594,0.0001094177,0.000056753222,0.000103168015,0.0000022702445,0.000042455904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414551,0.000107793756,0.00018783685,0.00003441538,0.00018725476,0.00001552633,0.00030614296,0.000027728764,0.00021007097],"category_scores_gemma":[0.000023249791,0.000060284223,0.000019216875,0.00029143825,0.00095553393,0.000078708734,0.00027746148,0.00006582803,0.00010819577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007609533,0.0005025632,0.59703034,0.00009470806,0.00013697777,0.000026991718,0.081206374,0.004278551,0.118617885,0.010567376,0.18518193,0.0015953549],"study_design_scores_gemma":[0.00027688633,0.00011471771,0.98536336,0.000003667967,0.000010223372,3.643664e-7,0.0017457112,0.000015993137,0.005732106,0.0008994624,0.0057531227,0.000084389285],"about_ca_topic_score_codex":0.00003021249,"about_ca_topic_score_gemma":0.00035603056,"teacher_disagreement_score":0.38833302,"about_ca_system_score_codex":0.000008555081,"about_ca_system_score_gemma":0.0000017442845,"threshold_uncertainty_score":0.35207045},"labels":[],"label_agreement":null},{"id":"W3110063457","doi":"10.3390/app10228196","title":"Development of Adaptive Formative Assessment System Using Computerized Adaptive Testing and Dynamic Bayesian Networks","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Formative assessment; Computer science; Personalized learning; Computerized adaptive testing; Adaptive learning; Artificial intelligence; Learning analytics; Online assessment; Machine learning; Reliability (semiconductor); Teaching method; Psychology; Mathematics education; Psychometrics","score_opus":0.04777870028958599,"score_gpt":0.2839728680549296,"score_spread":0.23619416776534363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110063457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059810527,0.000021035758,0.9387758,0.00012430582,0.00004979598,0.00013999351,8.6346296e-7,0.00009442324,0.0009832509],"genre_scores_gemma":[0.5181515,3.3049466e-7,0.48178792,0.000042358406,0.000012635158,0.0000021002236,2.828116e-7,0.0000024226488,4.4033501e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859333,0.000051004194,0.00034673713,0.00039738737,0.00034702796,0.00026449194],"domain_scores_gemma":[0.9992003,0.00020080757,0.00030952788,0.00010423336,0.000070266906,0.00011488001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005266194,0.00014991997,0.00027077194,0.00007267435,0.00044374398,0.00013118006,0.00052770885,0.000036603848,3.9868988e-7],"category_scores_gemma":[0.000010779805,0.00012584335,0.000022867269,0.00087452197,0.00018948909,0.00024008042,0.00038693944,0.000149063,9.930274e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038067836,0.000119016055,0.0011473023,0.00022648225,0.0001746649,0.000019657058,0.030939523,0.4902938,0.013128984,0.21306944,0.000010897278,0.25083217],"study_design_scores_gemma":[0.00018762249,0.00011379835,0.0004960791,0.000086902764,0.000007648789,0.000004654153,0.0034393806,0.9951647,0.00014435359,0.00019888519,0.0000042347024,0.00015174372],"about_ca_topic_score_codex":0.0000072035623,"about_ca_topic_score_gemma":0.000002076935,"teacher_disagreement_score":0.5048709,"about_ca_system_score_codex":0.00006067848,"about_ca_system_score_gemma":0.00027307874,"threshold_uncertainty_score":0.51317424},"labels":[],"label_agreement":null},{"id":"W3110076208","doi":"10.3390/app10238486","title":"Piezoelectric Energy Harvesting Prediction and Efficient Management for Industrial Wireless Sensor","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Energy harvesting; Wireless; Range (aeronautics); Computer science; Vibration; Wireless sensor network; Quality of service; Automotive engineering; Node (physics); Energy (signal processing); Real-time computing; Reliability engineering; Engineering; Computer network; Telecommunications; Structural engineering","score_opus":0.03671417790437863,"score_gpt":0.21179283243283503,"score_spread":0.1750786545284564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110076208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.720337,0.000060793238,0.26227224,0.0003186615,0.00026159265,0.00032610778,0.000009088601,0.0015880212,0.014826514],"genre_scores_gemma":[0.98998237,0.000008327752,0.009693781,0.000071528324,0.000115709925,0.00008932253,0.0000028563495,0.000012375697,0.000023716117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913186,0.000006022646,0.000166615,0.00027646113,0.00016090595,0.0002581427],"domain_scores_gemma":[0.9997574,0.00008169088,0.00003837787,0.00006774609,0.00001813331,0.000036671616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021854181,0.00011991445,0.00011320207,0.00012554937,0.00020793597,0.000075756674,0.00018279423,0.00006527491,0.0000012270692],"category_scores_gemma":[0.000051193438,0.000111543,0.0000126528075,0.0009806799,0.00016759647,0.000052108175,0.00006542344,0.00009008877,0.0000011943958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001775864,0.000015102519,0.00033199065,0.000081563616,0.000044940032,0.0000028541372,0.00017604275,0.13600726,0.03511559,0.46600989,0.0014390255,0.36075798],"study_design_scores_gemma":[0.0005836805,0.00013206313,0.00021616663,0.000025808658,0.000017700422,0.0000025743739,0.0007146856,0.92838305,0.06325868,0.0009560983,0.0054289917,0.00028049285],"about_ca_topic_score_codex":0.0000051139677,"about_ca_topic_score_gemma":9.84981e-7,"teacher_disagreement_score":0.7923758,"about_ca_system_score_codex":0.000037077953,"about_ca_system_score_gemma":0.000010429672,"threshold_uncertainty_score":0.45485914},"labels":[],"label_agreement":null},{"id":"W3110481602","doi":"10.3390/app10238605","title":"Manual Therapy Versus Closed Kinematic Exercises—The Influence on the Range of Movement in Patients with Knee Osteoarthritis: A Pilot Study","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"WOMAC; Osteoarthritis; Range of motion; Physical therapy; Medicine; Physical medicine and rehabilitation; Visual analogue scale; Rehabilitation; Kinematics; Knee Joint; Surgery","score_opus":0.031212764977266005,"score_gpt":0.2571802489209893,"score_spread":0.2259674839437233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110481602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945431,0.000055775326,8.865704e-7,0.00057587767,0.0000471918,0.0034644771,0.000004149736,0.000020230247,0.0012883123],"genre_scores_gemma":[0.99842614,0.0000060688994,0.00007584919,0.0010891233,0.000020223244,0.00036298967,0.0000018423776,0.000008738374,0.000009006746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846435,0.00004666678,0.00023875029,0.00028840342,0.0007447813,0.00021704123],"domain_scores_gemma":[0.9993972,0.0001685672,0.000105969644,0.0002306389,0.000037635422,0.00005996338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026514733,0.00015689009,0.00025251147,0.000052598276,0.00014596361,0.000028467108,0.00022409583,0.000015568623,0.00004471859],"category_scores_gemma":[0.000027359361,0.00007431922,0.000023738714,0.0004947745,0.00025409885,0.000057788147,0.000039290684,0.00010732136,0.000020683396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08926982,0.018178029,0.5724402,0.00018467581,0.00033588754,0.000119819415,0.054042973,0.0006116211,0.024451382,0.020481605,0.00017391647,0.21971007],"study_design_scores_gemma":[0.08305079,0.31053117,0.57719445,0.0003447187,0.00014619452,6.3158564e-7,0.019882973,0.000023575423,0.007960159,0.0004348416,0.000039582825,0.0003909103],"about_ca_topic_score_codex":0.000024431398,"about_ca_topic_score_gemma":0.000067063855,"teacher_disagreement_score":0.29235315,"about_ca_system_score_codex":0.000018569848,"about_ca_system_score_gemma":0.000053067364,"threshold_uncertainty_score":0.30306497},"labels":[],"label_agreement":null},{"id":"W3110689073","doi":"10.3390/app10238724","title":"NIRS Estimation of Drought Stress on Chemical Quality Constituents of Taro (Colocasia esculenta L.) and Sweet Potato (Ipomoea batatas L.) Flours","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Fundação para a Ciência e a Tecnologia; Innotech Alberta; European Commission; European Regional Development Fund; Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação","keywords":"Colocasia esculenta; Ipomoea; Drought stress; Crop; Horticulture; Agronomy; Biology","score_opus":0.053482151051044265,"score_gpt":0.33363231344483285,"score_spread":0.2801501623937886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110689073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92967296,0.00009010209,0.00057883724,0.0014205455,0.000083448875,0.00027892072,0.00010488461,0.00003293103,0.06773735],"genre_scores_gemma":[0.99869215,0.000018589195,0.0011251294,0.00009996462,0.00003729946,0.000008757669,0.000004947431,0.0000030622823,0.000010069097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9983871,0.00007273041,0.0003104251,0.00033263277,0.000659504,0.00023761],"domain_scores_gemma":[0.9993403,0.00018258278,0.00019671283,0.00009928875,0.000042455336,0.0001386884],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00069507485,0.0001150519,0.0003000726,0.000041515737,0.00034101703,0.0000313991,0.00029556977,0.000060428494,0.000023894294],"category_scores_gemma":[0.00023627043,0.00009791156,0.000041596366,0.0004431165,0.0031413645,0.000110771456,0.0000764725,0.00007873758,0.0000104031415],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022350939,0.00029383026,0.029815922,0.00020538602,0.00010048154,0.0000037172597,0.14355488,0.00052502035,0.0068970826,0.80520546,0.001109066,0.012065607],"study_design_scores_gemma":[0.003708753,0.00065181206,0.029198145,0.00040508373,0.0002439604,0.000002629982,0.83751976,0.0029124592,0.090208076,0.031277556,0.002190121,0.0016816283],"about_ca_topic_score_codex":0.00023784886,"about_ca_topic_score_gemma":0.000054650565,"teacher_disagreement_score":0.7739279,"about_ca_system_score_codex":0.000018335722,"about_ca_system_score_gemma":0.00013473911,"threshold_uncertainty_score":0.9995715},"labels":[],"label_agreement":null},{"id":"W3110925263","doi":"10.3390/app10238689","title":"Dynamic and Static Investigation of Ground Heat Exchangers Equipped with Internal and External Fins","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Borehole; Heat exchanger; Heat transfer; Curvature; Mechanics; Inlet; Materials science; Thermal; Heat pipe; Geotechnical engineering; Geology; Engineering; Mechanical engineering; Thermodynamics; Physics","score_opus":0.02221277888697618,"score_gpt":0.2327425036114348,"score_spread":0.21052972472445863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110925263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994667,0.00007288521,0.0021621392,0.00062134065,0.000010874468,0.00008692932,0.0000025461434,0.000018234268,0.002358066],"genre_scores_gemma":[0.9975622,0.000012173437,0.0020489641,0.00028955072,0.000015561907,0.00002428284,0.0000016148601,0.0000054619973,0.000040162096],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993836,0.000012993979,0.00012969563,0.00020803366,0.0001541169,0.00011153321],"domain_scores_gemma":[0.9997458,0.00003744529,0.00005973685,0.00005677912,0.000013847973,0.00008638031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010394409,0.000076386284,0.000108185624,0.000032711054,0.00009590715,0.000045266785,0.00009989088,0.000019659923,0.000019315039],"category_scores_gemma":[0.0000038804997,0.00005630208,0.0000068851305,0.00021645469,0.00043359245,0.0000828184,0.000035196288,0.000037374826,0.00000225539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000832188,0.000027960536,0.012153088,0.00021805981,0.00004836118,0.0000034440586,0.013648885,0.026167521,0.7045987,0.22805727,0.000032668562,0.0149608],"study_design_scores_gemma":[0.004717217,0.0021450974,0.25045255,0.0005413738,0.00015568912,0.00010204113,0.018803935,0.63815016,0.04199683,0.03788996,0.0034414644,0.0016036872],"about_ca_topic_score_codex":0.002085303,"about_ca_topic_score_gemma":0.00047455795,"teacher_disagreement_score":0.6626019,"about_ca_system_score_codex":0.0000061705978,"about_ca_system_score_gemma":0.000023246288,"threshold_uncertainty_score":0.31523684},"labels":[],"label_agreement":null},{"id":"W3110965428","doi":"10.3390/app10248797","title":"Radio Frequency Reflectometry of Single-Electron Box Arrays for Nanoscale Voltage Sensing Applications","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut quantique; Université de Sherbrooke","funders":"National Science Board","keywords":"Coulomb blockade; Amplifier; Reflectometry; Electrical engineering; Transistor; Electronic engineering; Radio frequency; Optoelectronics; Computer science; Voltage; Physics; Materials science; Engineering; CMOS","score_opus":0.023596556116207902,"score_gpt":0.2577214548055802,"score_spread":0.23412489868937228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110965428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23251112,0.00017268023,0.72433174,0.00042636032,0.000047459984,0.00072908367,0.000045588473,0.0000744291,0.041661523],"genre_scores_gemma":[0.99127394,0.000001548623,0.008268727,0.00011605251,0.00022259848,0.000049866347,0.000027656026,0.00001342721,0.000026172824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987536,0.000007789506,0.00026666312,0.00038540407,0.00019346403,0.00039306036],"domain_scores_gemma":[0.99950504,0.000076894954,0.00014110899,0.00013730158,0.000037460348,0.00010218338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017423497,0.00014161937,0.00022909426,0.00006620058,0.00028065694,0.000035922847,0.00026998552,0.000031272164,0.000051953233],"category_scores_gemma":[0.000002483925,0.00013125673,0.00008617027,0.0007956569,0.00022360492,0.00009143323,0.000011629253,0.000099600235,0.000010180536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012247145,0.000057005676,0.0008141097,0.000025325116,0.000019482442,5.2465353e-8,0.0003446476,0.000049823444,0.84835315,0.14585908,0.00013377183,0.0043313224],"study_design_scores_gemma":[0.00051958376,0.00040171956,0.00014296274,0.000009766769,0.000052965297,3.4854412e-7,0.0007339866,0.0004768296,0.90924686,0.08152414,0.006534977,0.00035588327],"about_ca_topic_score_codex":0.000021612028,"about_ca_topic_score_gemma":0.000002583529,"teacher_disagreement_score":0.75876284,"about_ca_system_score_codex":0.00001575616,"about_ca_system_score_gemma":0.00010184956,"threshold_uncertainty_score":0.5352494},"labels":[],"label_agreement":null},{"id":"W3111050935","doi":"10.3390/app10248793","title":"A Deep Learning and Computer Vision Based Multi-Player Tracker for Squash","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Computer vision; Artificial intelligence; Kinematics; Computer science; Inverse kinematics; Squash; Tracking (education); Motion capture; Motion (physics); Robot; Geography","score_opus":0.04224739841895157,"score_gpt":0.3159925588720368,"score_spread":0.2737451604530852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111050935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93692505,0.0000947049,0.058818158,0.001052825,0.00006625556,0.00044284857,4.6589108e-7,0.000095813186,0.0025038854],"genre_scores_gemma":[0.9621187,0.0000039984043,0.035192057,0.0025135975,0.00012638354,0.000016656384,0.000005111323,0.0000062027016,0.000017307317],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931586,0.0000019392344,0.00010897102,0.0002521251,0.00015088254,0.00017020258],"domain_scores_gemma":[0.9997761,0.000040196923,0.00003671637,0.000034887024,0.000017133654,0.00009495121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022086268,0.00007491435,0.00013365166,0.000041261246,0.00020344177,0.000036756617,0.00004550298,0.000032759384,0.000035976627],"category_scores_gemma":[0.000007766315,0.000055437966,0.000023838702,0.00015600664,0.00013001285,0.00006774711,0.000015748747,0.000086856664,0.000012019462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009281418,0.00029137573,0.3643688,0.0005068017,0.000053608688,0.0000367211,0.012082363,0.0030296047,0.040377025,0.0033530414,0.00076378224,0.57420874],"study_design_scores_gemma":[0.0025440897,0.0008884342,0.049600344,0.00003769595,0.00003028611,0.000007278806,0.00092157815,0.935305,0.00266735,0.00001432681,0.007835291,0.00014830066],"about_ca_topic_score_codex":9.111483e-7,"about_ca_topic_score_gemma":9.3679006e-7,"teacher_disagreement_score":0.9322754,"about_ca_system_score_codex":0.00000382227,"about_ca_system_score_gemma":0.000026268013,"threshold_uncertainty_score":0.22606947},"labels":[],"label_agreement":null},{"id":"W3111307577","doi":"10.3390/app10238752","title":"A Critical Review of Flood Risk Management and the Selection of Suitable Measures","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Flood myth; Floodplain; Flood risk management; Risk analysis (engineering); Risk management; Environmental resource management; Hazard; Flood risk assessment; Flood mitigation; Variety (cybernetics); Environmental planning; Computer science; Environmental science; Business; Geography; Cartography","score_opus":0.029099532049565554,"score_gpt":0.30086988550966065,"score_spread":0.2717703534600951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111307577","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015273613,0.94253343,0.00033339567,0.00010022729,0.000052099847,0.0012059528,0.0000049564887,0.000012452502,0.055755984],"genre_scores_gemma":[0.00024036437,0.99635637,0.0030632892,0.00007175903,0.000016444883,0.00016675245,0.0000015861128,0.000007539914,0.00007591064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792165,0.00019698775,0.00050600735,0.00043460398,0.0007307492,0.000210031],"domain_scores_gemma":[0.9991493,0.00024998782,0.00035338724,0.0001905786,0.000008104219,0.00004860307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022652003,0.00020285566,0.0008831966,0.000047747897,0.0001974051,0.00003260073,0.00056060683,0.00004665294,0.00024031174],"category_scores_gemma":[0.00007728494,0.00011150624,0.00015223818,0.00089925784,0.0012904108,0.00008207303,0.00051109714,0.00015650009,0.000031863863],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040798955,0.000039297527,0.000038351624,0.026782816,0.000080086,5.5659393e-7,0.00003796473,0.0000051579045,5.154405e-7,0.032570265,0.0023870082,0.9380539],"study_design_scores_gemma":[0.00017493175,0.000057142486,0.000033558823,0.0064203055,0.0015886428,0.0000020362827,0.00007505838,0.000053476022,0.000005393068,0.0014256045,0.9899963,0.00016755368],"about_ca_topic_score_codex":0.00010375048,"about_ca_topic_score_gemma":0.000020836256,"teacher_disagreement_score":0.98760927,"about_ca_system_score_codex":0.000031918917,"about_ca_system_score_gemma":0.000024994048,"threshold_uncertainty_score":0.47545722},"labels":[],"label_agreement":null},{"id":"W3112213283","doi":"10.3390/app10238762","title":"A Relay Selection Protocol for UAV-Assisted VANETs","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Relay; Computer science; Computer network; Node (physics); Selection (genetic algorithm); Overhead (engineering); Protocol (science); Wireless ad hoc network; Quality of service; Distributed computing; Wireless; Telecommunications; Engineering","score_opus":0.04292972890931798,"score_gpt":0.2753615314596653,"score_spread":0.23243180255034732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112213283","genre_codex":"protocol","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111474805,0.00007491937,0.21793611,0.002788535,0.0007958957,0.5478508,0.00002036415,0.006367323,0.11269127],"genre_scores_gemma":[0.8086476,5.283759e-7,0.016157765,0.00035916272,0.00031681638,0.17443389,0.0000041162093,0.000032023276,0.00004810887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989357,0.000010109883,0.00018021824,0.00029406865,0.00022807438,0.0003518159],"domain_scores_gemma":[0.99969375,0.000053730666,0.000036184123,0.00008053883,0.000020181513,0.00011564167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023766991,0.00013527648,0.00013819148,0.000039905393,0.0001910567,0.00008582625,0.00023906016,0.00007081591,0.000047999252],"category_scores_gemma":[0.000018148268,0.00012081427,0.000041443036,0.00062379113,0.00007533272,0.000104348146,0.000023194874,0.00012205255,0.00005927264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020166379,0.000010927735,0.00006372272,0.00007092055,0.000012297683,8.3064293e-7,0.00019193791,0.95888025,0.021193866,0.0011951223,0.013041517,0.00531846],"study_design_scores_gemma":[0.000495767,0.000110609115,0.00025553993,0.000012233109,0.00000740308,0.000004883175,0.000049700422,0.9083296,0.008621578,0.00017883108,0.08173384,0.0002000021],"about_ca_topic_score_codex":0.0000021421174,"about_ca_topic_score_gemma":0.000016775959,"teacher_disagreement_score":0.69717276,"about_ca_system_score_codex":0.000035230805,"about_ca_system_score_gemma":0.000039408227,"threshold_uncertainty_score":0.4926663},"labels":[],"label_agreement":null},{"id":"W3113378328","doi":"10.3390/app10248992","title":"Experimental Study on the Dynamic Characteristics of Hydro-Pneumatic Semi-Active Suspensions for Agricultural Tractor Cabins","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Research Foundation of Korea","keywords":"Reciprocating motion; Suspension (topology); Displacement (psychology); Spring (device); Mechanics; Control theory (sociology); Engineering; Structural engineering; Mechanical engineering; Physics; Mathematics; Computer science","score_opus":0.028881300829421516,"score_gpt":0.24686534934643267,"score_spread":0.21798404851701114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113378328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968084,0.000012893197,0.0006458183,0.00047163715,0.00009526242,0.00059917336,0.000016124699,0.000058124544,0.0012925282],"genre_scores_gemma":[0.9996912,0.0000012771956,0.0000443285,0.00011941701,0.000030862786,0.00009606615,0.000004135402,0.000004207669,0.000008509145],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939334,0.0000140770335,0.00017000173,0.00013962472,0.00015506755,0.00012789968],"domain_scores_gemma":[0.99961835,0.00023010664,0.00003323924,0.00005990693,0.000013754284,0.000044617504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008147555,0.00009627677,0.00015607246,0.000014113422,0.0001659346,0.000027386406,0.00018407337,0.000025141688,0.000040440915],"category_scores_gemma":[0.00003705849,0.00004884777,0.00003889809,0.00015794252,0.00010405838,0.00004961951,0.000019090161,0.00006887733,0.000010436134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020131014,0.00017220476,0.000044597175,0.00000669262,0.00002738329,3.8716612e-7,0.0039981473,0.0017198041,0.98628974,0.0071540773,0.00010835397,0.00045845693],"study_design_scores_gemma":[0.002157835,0.004500585,0.2437388,0.000042543303,0.0000979801,0.000003234507,0.08600976,0.33745405,0.32436955,0.00054207677,0.00018178484,0.0009018092],"about_ca_topic_score_codex":0.0000011049104,"about_ca_topic_score_gemma":0.0000022057116,"teacher_disagreement_score":0.6619202,"about_ca_system_score_codex":0.000014338255,"about_ca_system_score_gemma":0.000008466892,"threshold_uncertainty_score":0.19919543},"labels":[],"label_agreement":null},{"id":"W3113970002","doi":"10.3390/app11010180","title":"Incentive Price-Based Demand Response in Active Distribution Grids","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Energinet.dk","keywords":"Demand response; Smart grid; Computer science; Incentive; Grid; Distributed generation; Voltage; Peak demand; Context (archaeology); Reliability engineering; Electrical engineering; Automotive engineering; Electricity; Engineering; Renewable energy; Economics; Microeconomics","score_opus":0.01339789565888278,"score_gpt":0.2090334577807949,"score_spread":0.19563556212191213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113970002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9388083,0.000025635502,0.053268436,0.00066406897,0.00014024081,0.00019027933,0.000009833007,0.00017850146,0.0067146523],"genre_scores_gemma":[0.9993745,0.000004168039,0.00034035236,0.00017795053,0.000041122996,0.000044111435,0.000008867849,0.00000582273,0.0000030770889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992077,0.000027385886,0.00011842025,0.00021708706,0.00021048376,0.00021895427],"domain_scores_gemma":[0.99974006,0.00009798367,0.000019934507,0.00007406958,0.000008047929,0.00005992528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003287017,0.00009389991,0.00009407899,0.000055934397,0.000071524,0.000036548587,0.0002005071,0.00002895499,0.000020157342],"category_scores_gemma":[0.000039583934,0.000089073175,0.000016701484,0.0008204691,0.000112465714,0.00010238572,0.000042698182,0.00008138191,0.000035920737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021852706,0.000016686601,0.00076389045,0.000015117253,0.00000810375,0.0000055813566,0.00046097624,0.98447853,0.009090582,0.0032283177,0.0008818254,0.00083187176],"study_design_scores_gemma":[0.0012440663,0.00020077956,0.17089298,0.00003085471,0.000014193763,3.0825657e-7,0.0013074421,0.6698947,0.13854016,0.0005112274,0.016812949,0.0005503182],"about_ca_topic_score_codex":0.0000047398785,"about_ca_topic_score_gemma":0.0000055109867,"teacher_disagreement_score":0.3145838,"about_ca_system_score_codex":0.00011069225,"about_ca_system_score_gemma":0.000029068642,"threshold_uncertainty_score":0.36322987},"labels":[],"label_agreement":null},{"id":"W3114132306","doi":"10.3390/app10249049","title":"Polarization-Discriminated RSOA–EAM for Colorless Transmitter in WDM–PON","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wavelength-division multiplexing; Transmitter; Upstream (networking); Optics; Extinction ratio; Passive optical network; Physics; Optical amplifier; Wavelength; Computer science; Telecommunications; Laser","score_opus":0.039152480289714596,"score_gpt":0.260452705936509,"score_spread":0.22130022564679439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114132306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73261875,0.00047738227,0.22638604,0.003238763,0.00030763575,0.0019665344,0.000028137933,0.0006355636,0.034341205],"genre_scores_gemma":[0.9960444,0.000009830406,0.003465468,0.00026108048,0.000020032501,0.0001593328,0.000008538547,0.000012709029,0.000018592533],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992792,0.000011392189,0.00020796219,0.00017981885,0.00012837688,0.00019323039],"domain_scores_gemma":[0.9996682,0.00010381886,0.00002674851,0.00013399126,0.0000153543,0.000051887702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017363984,0.000090084184,0.00013770863,0.000057959787,0.00008760826,0.000035239867,0.00039227132,0.000040551728,0.000018602883],"category_scores_gemma":[0.000012779989,0.0000877026,0.000020952348,0.00056253775,0.00008166288,0.000115130846,0.000020474572,0.00008245457,0.000015792812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097187745,0.00007487417,0.0027130498,0.000372295,0.000038767277,0.0000027087394,0.035471212,0.2354649,0.63880193,0.062834285,0.0011785355,0.022950232],"study_design_scores_gemma":[0.0022202907,0.00012544669,0.004228324,0.00007592661,0.000022384265,0.000004910604,0.009786159,0.81142086,0.07330215,0.00446387,0.093340024,0.0010096248],"about_ca_topic_score_codex":0.0000097658985,"about_ca_topic_score_gemma":0.00005505304,"teacher_disagreement_score":0.575956,"about_ca_system_score_codex":0.00002733344,"about_ca_system_score_gemma":0.000030049796,"threshold_uncertainty_score":0.35764083},"labels":[],"label_agreement":null},{"id":"W3114177701","doi":"10.3390/app11010013","title":"Developing Machine Learning-Based Models for Railway Inspection","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada","funders":"Transport Canada","keywords":"Convolutional neural network; Computer science; Software deployment; Deep learning; Artificial intelligence; Preprocessor; Feature engineering; Machine learning; Reliability engineering; Engineering","score_opus":0.028798427766100417,"score_gpt":0.22200333093858338,"score_spread":0.19320490317248296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114177701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01509148,0.00009128214,0.97937435,0.00030505954,0.00013576543,0.00013842086,0.0000049888517,0.0010582566,0.003800419],"genre_scores_gemma":[0.96669835,0.000009387563,0.03300649,0.00014292609,0.000067829285,0.00003844831,0.000009959757,0.00001810137,0.000008524789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993696,0.0000029282264,0.000117172145,0.00018057648,0.00012607685,0.000203626],"domain_scores_gemma":[0.9998099,0.000053627988,0.000015930804,0.000047962625,0.000013039418,0.000059508315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013884215,0.000107100415,0.00010609062,0.000056514156,0.00017708295,0.00005164267,0.00015061922,0.000039834405,0.0000029335306],"category_scores_gemma":[0.00001922506,0.00010246183,0.00002893427,0.00035017327,0.000046650428,0.00008285621,0.00001079674,0.00010165481,0.000010113676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030780686,0.000001473727,0.000020721227,0.000035250403,0.0000037166933,1.372959e-7,0.0001415814,0.982141,0.0016692948,0.014844858,0.00007128475,0.0010675805],"study_design_scores_gemma":[0.00016811909,0.00003110354,0.000016962495,0.000005258084,0.0000032132461,3.204835e-7,0.000049092956,0.992894,0.0032289247,0.00097335386,0.0024794294,0.00015022454],"about_ca_topic_score_codex":0.0000025642933,"about_ca_topic_score_gemma":0.0000042170927,"teacher_disagreement_score":0.95160687,"about_ca_system_score_codex":0.00003307421,"about_ca_system_score_gemma":0.000030099698,"threshold_uncertainty_score":0.41782722},"labels":[],"label_agreement":null},{"id":"W3115150724","doi":"10.3390/app10249108","title":"Exercise Training of Secreted Protein Acidic and Rich in Cysteine (Sparc) KO Mice Suggests That Exercise-Induced Muscle Phenotype Changes Are SPARC-Dependent","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Internal medicine; Endocrinology; Skeletal muscle; Strength training; Chemistry; Biology; Medicine; Physiology","score_opus":0.042985386117558796,"score_gpt":0.2491966186394543,"score_spread":0.2062112325218955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115150724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99599195,0.0023584056,0.00005130527,0.0005965774,0.000044401906,0.000598942,0.000021660233,0.000015422347,0.00032134083],"genre_scores_gemma":[0.9985978,0.00049257185,0.0005423914,0.00012201784,0.000091353395,0.000102239996,0.000028168033,0.000012682615,0.000010762366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866015,0.000039340895,0.00019179643,0.0005331899,0.000281588,0.0002939172],"domain_scores_gemma":[0.99952894,0.0000109464145,0.00015500597,0.00015375328,0.00003429384,0.00011704541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003934087,0.00016949077,0.0002923833,0.000083727755,0.000094100295,0.00003167823,0.00026845225,0.00011885489,0.000011696029],"category_scores_gemma":[0.00003525917,0.00015444326,0.000026475089,0.0003551476,0.00021294047,0.000010874734,0.00012732632,0.000091463684,0.000002214964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010424935,0.00003243073,0.00061521993,0.000105171996,0.0000039158567,0.0000024234644,0.00070760964,0.000009774227,0.9835116,0.00004917323,0.000020009347,0.014838399],"study_design_scores_gemma":[0.0010071818,0.0002246191,0.010491017,0.00014906104,0.00002044936,0.0000012399735,0.0026103193,0.00016353437,0.98472494,0.00012798519,0.00023910057,0.00024055394],"about_ca_topic_score_codex":0.00007230869,"about_ca_topic_score_gemma":0.00019047437,"teacher_disagreement_score":0.014597845,"about_ca_system_score_codex":0.0000048976694,"about_ca_system_score_gemma":0.000053828524,"threshold_uncertainty_score":0.62980133},"labels":[],"label_agreement":null},{"id":"W3116734168","doi":"10.3390/app10249045","title":"Development of a Preliminary-Risk-Based Flood Management Approach to Address the Spatiotemporal Distribution of Risk under the Kaldor–Hicks Compensation Principle","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Flood myth; Risk management; Return period; Risk analysis (engineering); Floodplain; Flood risk management; Environmental economics; Actuarial science; Computer science; Operations research; Environmental resource management; Business; Economics; Engineering; Geography; Finance","score_opus":0.026161640968502712,"score_gpt":0.2478627767906846,"score_spread":0.2217011358221819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116734168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81769747,0.000011094084,0.17137288,0.0007914506,0.000043956996,0.0013657659,0.000017066843,0.000026206246,0.008674106],"genre_scores_gemma":[0.9727799,0.000005909356,0.02683717,0.00018660896,0.0000126866535,0.00013229091,0.000028201794,0.000005191062,0.000012004841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981196,0.00008515652,0.0003546372,0.00037695715,0.00084214396,0.00022149782],"domain_scores_gemma":[0.999252,0.000079265315,0.00033670003,0.00025925026,0.000010829657,0.00006193208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012370688,0.00013817752,0.00014026005,0.000025082278,0.00054098136,0.000040559873,0.0007478114,0.00002725934,0.000044368197],"category_scores_gemma":[0.000014243867,0.00007976535,0.000041942563,0.0007235638,0.00042089017,0.00007655305,0.00046982855,0.000099037505,0.000027595275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002558194,0.00081903336,0.034188073,0.00012581669,0.00012661805,4.881262e-7,0.012368228,0.8505969,0.0016311663,0.058744222,0.0025298852,0.03861373],"study_design_scores_gemma":[0.0008469629,0.00024564358,0.8833446,0.000022547732,0.00015804198,1.6274853e-7,0.011412022,0.07848282,0.015600258,0.0007726583,0.008770919,0.0003433787],"about_ca_topic_score_codex":0.00017070073,"about_ca_topic_score_gemma":0.00011784754,"teacher_disagreement_score":0.8491565,"about_ca_system_score_codex":0.00006224667,"about_ca_system_score_gemma":0.000030157484,"threshold_uncertainty_score":0.4160846},"labels":[],"label_agreement":null},{"id":"W3117596129","doi":"10.3390/app11010086","title":"Simplified Welch Algorithm for Spectrum Monitoring","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fast Fourier transform; Algorithm; Spectral density; Computer science; Field-programmable gate array; Reduction (mathematics); Mathematics; Computer hardware; Telecommunications","score_opus":0.05296891979340193,"score_gpt":0.2989038951206919,"score_spread":0.24593497532728995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117596129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016927598,0.000023354594,0.98306483,0.0058955564,0.00014124947,0.00030967305,0.0000019199445,0.00055015716,0.008320527],"genre_scores_gemma":[0.5551201,0.0000030297956,0.44341245,0.0012152209,0.00016386823,0.000058684785,5.118776e-7,0.0000045808315,0.000021516751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987399,0.000015890091,0.00017098471,0.0004798271,0.00031474957,0.00027865474],"domain_scores_gemma":[0.9994849,0.00011591483,0.00007385845,0.00019147288,0.000024360537,0.000109490604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708198,0.00010748632,0.0001246376,0.00006347964,0.00030601615,0.00035512345,0.0011833675,0.00004197107,0.0000046946325],"category_scores_gemma":[0.000019922365,0.00009600239,0.000042325682,0.00067998463,0.00009840549,0.00035128635,0.00017499008,0.00008697743,0.000027955874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003708743,0.00003245116,0.00011650351,0.000009366682,0.0000085500915,0.0000014166934,0.0025300132,0.00024878856,0.012711765,0.75938123,0.0028854127,0.22207077],"study_design_scores_gemma":[0.00046344678,0.000375846,0.00040443812,0.000008955007,0.000005801133,0.0000036199744,0.00048371666,0.281112,0.59294033,0.09791787,0.025737206,0.0005468175],"about_ca_topic_score_codex":0.0000041023723,"about_ca_topic_score_gemma":5.743212e-7,"teacher_disagreement_score":0.6614634,"about_ca_system_score_codex":0.000013978854,"about_ca_system_score_gemma":0.000079737685,"threshold_uncertainty_score":0.39148638},"labels":[],"label_agreement":null},{"id":"W3118725835","doi":"10.3390/app11020783","title":"Optical Code Construction of 2D Spectral/Spatial BIBD Codes for SAC-OCDMA Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Electronic engineering; Diagonal; Code (set theory); Bandwidth (computing); Code division multiple access; Algorithm; Telecommunications; Mathematics; Engineering","score_opus":0.013413751347609734,"score_gpt":0.22107445195168748,"score_spread":0.20766070060407776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118725835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87266755,0.00067979563,0.098955244,0.000049709368,0.002370794,0.0003946875,0.000100504985,0.00020182798,0.024579886],"genre_scores_gemma":[0.9963204,0.000013311892,0.0034519138,0.0000047037192,0.00012784255,0.00004634589,0.000003871545,0.00000839918,0.000023194087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910426,0.000018865348,0.00025300958,0.00020636481,0.00019833523,0.00021915042],"domain_scores_gemma":[0.9995284,0.00020371222,0.000043185664,0.00013103565,0.000042562508,0.000051100298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040883495,0.00010034514,0.00021728447,0.00007682355,0.00012959653,0.000051879015,0.00015223357,0.0000632185,0.000018976287],"category_scores_gemma":[0.000027923954,0.000090191286,0.00005244223,0.00036912155,0.0003907556,0.000070118425,0.000013403018,0.000055161854,0.000007847233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001180815,0.000016532387,0.00026545944,0.00022968087,0.000030033189,0.0000014471927,0.00023098217,0.012419593,0.19037609,0.79442686,0.00020198329,0.00178953],"study_design_scores_gemma":[0.0007298736,0.00015802936,0.00053548435,0.00015575906,0.00007255279,0.000114796516,0.008844317,0.066607065,0.88678193,0.0308135,0.00461989,0.0005667791],"about_ca_topic_score_codex":0.0000111987765,"about_ca_topic_score_gemma":0.000026393143,"teacher_disagreement_score":0.76361334,"about_ca_system_score_codex":0.00001354777,"about_ca_system_score_gemma":0.000038000144,"threshold_uncertainty_score":0.3677894},"labels":[],"label_agreement":null},{"id":"W3118760979","doi":"10.3390/app11020614","title":"A Review on Recent Advancements of Graphene and Graphene-Related Materials in Biological Applications","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Graphene; Nanotechnology; Materials science","score_opus":0.05676331504518467,"score_gpt":0.32087910822214505,"score_spread":0.2641157931769604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118760979","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032311887,0.99659634,0.000031479784,0.000012492191,0.000094461044,0.0017107333,0.00009408812,0.000065749446,0.0010715453],"genre_scores_gemma":[0.00046522397,0.99634224,0.0004982302,0.000048933205,0.000016119611,0.002443201,0.0001634541,0.000020600608,0.0000020244588],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979604,0.000075021424,0.0009915197,0.00053044513,0.00016525532,0.00027739524],"domain_scores_gemma":[0.99918777,0.00011963139,0.00024817587,0.0003554878,0.000026266194,0.00006266645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058429904,0.00033748953,0.0014400549,0.0002976481,0.00008338072,0.000030118768,0.00037946372,0.00018189909,0.00011974986],"category_scores_gemma":[0.00001188664,0.00025514892,0.0001036822,0.0021441705,0.000260768,0.000036773123,0.00007440306,0.000113144655,0.000017979193],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000149964,0.00012252171,0.000004982108,0.018681923,0.00008972571,0.0000010543991,0.000017379905,0.000014443053,0.0020641985,0.040746674,0.00035267253,0.9379029],"study_design_scores_gemma":[0.00013750514,0.000039585677,0.000011622322,0.015836887,0.00015823626,0.0000065554023,0.000015368043,7.3358285e-7,0.0009454096,0.0024319964,0.9799883,0.00042784383],"about_ca_topic_score_codex":0.0000028613058,"about_ca_topic_score_gemma":0.000002417067,"teacher_disagreement_score":0.9796356,"about_ca_system_score_codex":0.000023740042,"about_ca_system_score_gemma":0.000051541385,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W3119330218","doi":"10.3390/app11020668","title":"Multi-Model Identification of HVAC System","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"HVAC; Computer science; Cluster analysis; Air conditioning; Ventilation (architecture); System identification; Process (computing); Identification (biology); Engineering; Data mining; Artificial intelligence; Measure (data warehouse)","score_opus":0.017555989767507933,"score_gpt":0.22046572567553446,"score_spread":0.20290973590802652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119330218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35503966,0.00016794013,0.63507617,0.0000131680235,0.00021581115,0.000044720342,0.0000023598475,0.00019483682,0.00924533],"genre_scores_gemma":[0.9822456,0.000008207717,0.017645909,0.0000047777266,0.0000077148825,0.000008364466,0.0000027793092,0.0000033971671,0.00007322884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996366,0.0000027976266,0.00011478681,0.00008818515,0.000093987954,0.00006363824],"domain_scores_gemma":[0.9998543,0.000007924186,0.000022263279,0.000084594605,0.000018681934,0.000012209421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001211937,0.00003452859,0.000050583236,0.000028835677,0.000055329103,0.000018181789,0.0000901217,0.000023375867,0.0000028357908],"category_scores_gemma":[0.000002754828,0.000033400876,0.000012054804,0.0002436232,0.00003383736,0.00005303909,0.000011135932,0.000020749958,0.0000020171042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.7928667e-7,0.0000038883163,0.00002083433,0.000018118391,0.0000020536074,9.015914e-8,0.00005577735,0.86585623,0.10349737,0.03029167,0.00002211048,0.00023165326],"study_design_scores_gemma":[0.00003407598,8.1127956e-7,0.000074399264,0.0000055497444,0.0000025477543,6.806242e-7,0.00018195814,0.8404247,0.15911937,0.00011017163,0.0000114709,0.00003425052],"about_ca_topic_score_codex":0.0000018183172,"about_ca_topic_score_gemma":0.0000029363941,"teacher_disagreement_score":0.62720597,"about_ca_system_score_codex":0.000010684834,"about_ca_system_score_gemma":0.00001717912,"threshold_uncertainty_score":0.13620482},"labels":[],"label_agreement":null},{"id":"W3119340436","doi":"10.3390/app11020697","title":"Well-Doublets: A First-Order Assessment of Geothermal SedHeat Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geothermal energy; Geothermal gradient; Geomechanics; Environmental science; Geothermal heating; Renewable energy; Petroleum engineering; Geology; Geotechnical engineering; Engineering; Geophysics","score_opus":0.017654413657917294,"score_gpt":0.2791837314535525,"score_spread":0.2615293177956352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119340436","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28610048,0.000022321567,0.0019251717,0.0011674251,0.0002859579,0.00015480074,0.000002578159,0.000030261524,0.710311],"genre_scores_gemma":[0.9950793,0.000008966335,0.002305734,0.00025251487,0.000021773125,0.000028757568,0.0000027467763,0.0000023921025,0.002297818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990106,0.000025709562,0.00018557865,0.0002632843,0.00034133688,0.00017347747],"domain_scores_gemma":[0.9996457,0.00007027652,0.00007397148,0.00014843344,0.000017313905,0.000044310753],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028151157,0.00007459988,0.00010267256,0.00002159414,0.00024417957,0.000055781984,0.0001791904,0.000033640692,0.00791764],"category_scores_gemma":[0.000011310468,0.000059526094,0.000026998334,0.0004342443,0.00034845242,0.00012062481,0.00008938968,0.000068462774,0.00024060204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021623284,0.0008679168,0.11531984,0.000065306434,0.000053314667,0.000039776187,0.0019187034,0.4980789,0.17257187,0.19211455,0.016097987,0.00285021],"study_design_scores_gemma":[0.0018866414,0.00050951244,0.20887184,0.000105097795,0.000074944204,0.00023118178,0.017367613,0.22311382,0.03152573,0.0037609804,0.51119256,0.0013601084],"about_ca_topic_score_codex":0.00038903678,"about_ca_topic_score_gemma":0.00036857667,"teacher_disagreement_score":0.70897883,"about_ca_system_score_codex":0.00004749124,"about_ca_system_score_gemma":0.00005585949,"threshold_uncertainty_score":0.99298924},"labels":[],"label_agreement":null},{"id":"W3119448492","doi":"10.3390/app11010454","title":"Optimization of Lignin Recovery from the Pre-Hydrolysate of Kraft-Based Dissolving Pulp Production Processes","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Polytechnique Montréal; FPInnovations","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Lignin; Hydrolysate; Chemistry; Dissolving pulp; Pulp (tooth); Kraft paper; Kraft process; Pulp and paper industry; Sulfuric acid; Chromatography; Organic chemistry; Hydrolysis; Cellulose","score_opus":0.008716799531650951,"score_gpt":0.19966049886988863,"score_spread":0.19094369933823768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119448492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919229,0.00068019953,0.0021000016,0.0001602642,0.00023025801,0.00012802366,0.000010635756,0.000084074614,0.0046836035],"genre_scores_gemma":[0.99542695,0.000058553807,0.0043854793,0.00001329139,0.000059582344,0.000014504855,0.000012595403,0.0000066503994,0.000022390539],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935484,0.000007710073,0.00017037665,0.0001700489,0.00019589391,0.00010112996],"domain_scores_gemma":[0.99960256,0.00010614318,0.000065895845,0.00015618431,0.00005280942,0.000016397345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015839688,0.00007067381,0.00010226296,0.000017241295,0.000065625005,0.000025852923,0.00017062621,0.000034671335,0.000008609714],"category_scores_gemma":[0.00006411592,0.000053001077,0.000020755855,0.0005008657,0.00011723166,0.000091427515,0.000020457192,0.000048479837,6.900753e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015909771,0.000015712387,0.00030343357,0.00009634249,0.000010346216,1.3012762e-7,0.00028744235,0.42040172,0.578296,0.000014120756,0.00039642103,0.00017670474],"study_design_scores_gemma":[0.000058030728,0.000007405304,0.000043888747,0.00005972508,0.0000132301175,3.0275757e-7,0.00031230692,0.010777665,0.98841834,0.00022326794,0.00002225154,0.0000636017],"about_ca_topic_score_codex":0.00000979662,"about_ca_topic_score_gemma":0.000008528185,"teacher_disagreement_score":0.4101223,"about_ca_system_score_codex":0.000009331143,"about_ca_system_score_gemma":0.000094815405,"threshold_uncertainty_score":0.21613212},"labels":[],"label_agreement":null},{"id":"W3119462678","doi":"10.3390/app11020608","title":"Geothermal Assessment of Target Formations Using Recorded Temperature Measurements for the Alberta No. 1 Geothermal Project","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy","funders":"Australian Government; Natural Resources Canada; Strong","keywords":"Devonian; Geothermal gradient; Precambrian; Geology; Basement; Geothermal exploration; Elevation (ballistics); Geochemistry; Geothermal energy; Petrology; Mining engineering; Paleontology; Archaeology","score_opus":0.04788745063639429,"score_gpt":0.2955888881248847,"score_spread":0.2477014374884904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119462678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7858325,0.00053954514,0.09160503,0.0008985065,0.0012797561,0.0020630008,0.00006538063,0.00019211014,0.11752412],"genre_scores_gemma":[0.9882192,0.000016177044,0.011356934,0.000070534836,0.000066546905,0.000088326065,0.000013921878,0.000010869845,0.00015749969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991198,0.000021594247,0.00022295518,0.00013997409,0.00030697702,0.00018866193],"domain_scores_gemma":[0.9995714,0.0000842975,0.000053803957,0.0001599754,0.00010540755,0.00002513061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040043858,0.000097894655,0.00013957258,0.000067177454,0.0002965177,0.000077777506,0.00021187098,0.00004192278,0.00009152312],"category_scores_gemma":[0.000027688184,0.000064744665,0.000073992094,0.0005354383,0.000078122575,0.00015413137,0.000021880427,0.000072627205,0.0000035599066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035307733,0.000032875312,0.0004166534,0.00004923857,0.00013410965,1.5130838e-7,0.0005781935,0.7584308,0.23899113,0.0007155855,0.00039764468,0.00025011998],"study_design_scores_gemma":[0.00023229145,0.000011492429,0.00018986994,0.00001238823,0.000040538176,9.80733e-7,0.0009625628,0.96287924,0.032873686,0.000070520386,0.0026000836,0.00012633982],"about_ca_topic_score_codex":0.00006574482,"about_ca_topic_score_gemma":0.00022182334,"teacher_disagreement_score":0.20611745,"about_ca_system_score_codex":0.000027144737,"about_ca_system_score_gemma":0.00015645914,"threshold_uncertainty_score":0.26402107},"labels":[],"label_agreement":null},{"id":"W3120281654","doi":"10.3390/app11020662","title":"One-Step Liquid Phase Polymerization of HEMA by Atmospheric-Pressure Plasma Discharges for Ti Dental Implants","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; European Cooperation in Science and Technology","keywords":"Adhesion; Plasma polymerization; Coating; Biomaterial; Polymerization; Chemical engineering; Materials science; Acrylate; Protein adsorption; X-ray photoelectron spectroscopy; Titanium; Biocompatible material; Adsorption; Methacrylate; Monomer; Chemistry; Biomedical engineering; Polymer; Nanotechnology; Organic chemistry; Composite material","score_opus":0.024559273468405654,"score_gpt":0.28234248061229905,"score_spread":0.2577832071438934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120281654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99029344,0.000257484,0.007478864,0.00019037235,0.0002433939,0.00024541115,0.00027159517,0.000045006473,0.00097443786],"genre_scores_gemma":[0.9932002,0.000018368522,0.0062983795,0.00011060558,0.000029303405,0.000046944457,0.000053959084,0.00000875319,0.0002335012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985794,0.000035844456,0.0002811176,0.00044180008,0.00038850313,0.00027333404],"domain_scores_gemma":[0.99942017,0.00010664281,0.00013335428,0.00019867095,0.000057963374,0.00008317447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030938516,0.00011966878,0.00021950905,0.000011498304,0.00031434125,0.000088032684,0.00033384425,0.00005987026,0.0005614901],"category_scores_gemma":[0.00004245796,0.00010945635,0.00004602462,0.00031755454,0.00030917424,0.00018512766,0.00006665414,0.00003424041,0.00003277978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008919652,0.00019688289,0.00014884489,0.000020990652,0.000006019986,2.8009907e-7,0.0002601268,0.00008721644,0.9962767,0.0020278825,0.00032119505,0.00056471233],"study_design_scores_gemma":[0.00061624224,0.00011328731,0.000046565805,0.000008419242,0.000016259999,0.0000029051378,0.0008552497,0.0031109317,0.99377364,0.0000532038,0.0012616705,0.00014160833],"about_ca_topic_score_codex":0.0000367385,"about_ca_topic_score_gemma":0.000016668784,"teacher_disagreement_score":0.0030237152,"about_ca_system_score_codex":0.000010599939,"about_ca_system_score_gemma":0.000108970555,"threshold_uncertainty_score":0.6147923},"labels":[],"label_agreement":null},{"id":"W3120281883","doi":"10.3390/app11010430","title":"Sustainable Biosynthesis of Antioxidants from Koji Rice Fermented with Aspergillus flavus Using Microwave-Assisted Extraction","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Basrah","keywords":"Ethyl acetate; Aspergillus flavus; Chemistry; Fermentation; Food science; Ethyl lactate; Gallic acid; Extraction (chemistry); Antioxidant; Aspergillus oryzae; Bran; Diethyl ether; Linoleic acid; Organic chemistry; Solvent; Fatty acid; Raw material","score_opus":0.016893707554512697,"score_gpt":0.25756513688788474,"score_spread":0.24067142933337204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120281883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994644,0.00044415085,0.0018707792,0.000040537092,0.000026544509,0.00012526003,0.000012317286,0.000007864297,0.0028285796],"genre_scores_gemma":[0.9917547,0.000054367905,0.007852259,0.000049355265,0.000046576606,0.000008693076,0.000023672299,0.000008454148,0.00020193812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988279,0.000045748457,0.00017951355,0.00046736366,0.00022090266,0.00025859274],"domain_scores_gemma":[0.9994062,0.000022649916,0.00016885166,0.0002143935,0.00014136084,0.00004654295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021637937,0.00013414418,0.00017374339,0.000054781372,0.00024471997,0.00005514358,0.0001710718,0.00008310293,0.000024292845],"category_scores_gemma":[0.000036278092,0.00010560565,0.000054974895,0.00043902057,0.00030192634,0.000012679883,0.00009512783,0.00004720093,0.0000019108184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007391583,0.00009904109,0.00093686976,0.000013047388,0.0000669734,0.000009404294,0.000032181222,0.000056931487,0.9972559,0.00012090087,0.000010870703,0.0013239433],"study_design_scores_gemma":[0.00024026925,0.00008014824,0.0074907825,0.000018903034,0.000041864078,0.000014315888,0.0019108456,0.00009277572,0.98955256,0.00007645035,0.00032415614,0.00015692097],"about_ca_topic_score_codex":0.00035330272,"about_ca_topic_score_gemma":0.000104038,"teacher_disagreement_score":0.0077033527,"about_ca_system_score_codex":0.000022498383,"about_ca_system_score_gemma":0.00018147295,"threshold_uncertainty_score":0.43064734},"labels":[],"label_agreement":null},{"id":"W3120939465","doi":"10.3390/app11020479","title":"The Geology, Geochemistry, and Origin of the Porphyry Cu-Au-(Mo) System at Vathi, Serbo-Macedonian Massif, Greece","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Society of Economic Geologists Canada Foundation; Society of Economic Geologists Foundation","keywords":"Geochemistry; Geology; Quartz monzonite; Porphyry copper deposit; Argillic alteration; Fluid inclusions; Breccia; Hypogene; Chalcopyrite; Sphalerite; Pyrite; Quartz; Chemistry; Pluton; Volcanic rock","score_opus":0.012560846529552864,"score_gpt":0.1913677150156511,"score_spread":0.17880686848609825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120939465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551264,0.00095707766,0.000005023741,0.0022433063,0.00011073365,0.00007498313,0.000016571928,0.000019158299,0.04144674],"genre_scores_gemma":[0.99893963,0.00005152391,0.00017199063,0.00020508475,0.00005518401,0.000002717037,0.000008043998,0.000001041529,0.00056475226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845016,0.000068353496,0.0002523282,0.00042920187,0.00039999487,0.00039996437],"domain_scores_gemma":[0.99905854,0.00038606697,0.00014633704,0.00024776644,0.00005004333,0.00011121944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006257588,0.0001417566,0.00021224392,0.000015845126,0.0010213581,0.00006196659,0.0006093931,0.00008216857,0.00060137],"category_scores_gemma":[0.00007120789,0.00006569386,0.0000857089,0.0006540161,0.0016259822,0.000039397142,0.0001693861,0.00014500062,0.00005081035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002010897,0.00001521138,0.97337663,0.000049703576,0.000036557463,0.000008446815,0.00013757436,0.00042702493,0.014121744,0.0060392274,0.00028922144,0.0054785707],"study_design_scores_gemma":[0.00038958463,0.00007524227,0.87812483,0.000043698423,0.000107302454,0.00017730719,0.005030505,0.01564008,0.06264015,0.029327927,0.007943356,0.0005000069],"about_ca_topic_score_codex":0.0024658106,"about_ca_topic_score_gemma":0.0067931656,"teacher_disagreement_score":0.09525178,"about_ca_system_score_codex":0.0000073766014,"about_ca_system_score_gemma":0.000093727016,"threshold_uncertainty_score":0.7855564},"labels":[],"label_agreement":null},{"id":"W3122118149","doi":"10.3390/app11041675","title":"MR Images, Brain Lesions, and Deep Learning","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Universitat Politècnica de València; Natural Sciences and Engineering Research Council of Canada; Universidad Técnica Particular de Loja; National Institutes of Health; Laura and John Arnold Foundation; National Science Foundation","keywords":"Computer science; Segmentation; Hyperintensity; CAD; Artificial intelligence; Multidisciplinary approach; Reliability (semiconductor); Pattern recognition (psychology); Machine learning; Magnetic resonance imaging; Medical physics; Medicine; Radiology; Engineering drawing","score_opus":0.0381820082333392,"score_gpt":0.27606733895055924,"score_spread":0.23788533071722004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122118149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83789366,0.00034361237,0.003518958,0.010201953,0.000300367,0.00018505313,0.0000016287518,0.00029278436,0.14726198],"genre_scores_gemma":[0.99598473,0.00007024168,0.000554478,0.0017265982,0.00002950729,0.000012375975,5.5548946e-7,0.000004436586,0.0016170522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989702,0.0000853693,0.00010424253,0.00043435817,0.00023265333,0.00017314607],"domain_scores_gemma":[0.9994452,0.0003266857,0.000050990315,0.00010049947,0.000013416828,0.00006323363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491381,0.00006690557,0.00006762135,0.000052108608,0.00071229466,0.00017908898,0.00013248382,0.00002713606,0.00012224965],"category_scores_gemma":[0.0005500054,0.000059647344,0.000015768153,0.0005803022,0.00039839259,0.00011663684,0.000063704334,0.00012882311,0.00007727652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016265511,0.000011173048,0.00012437404,0.0000025812333,2.786124e-7,0.000003888401,0.00012482503,0.000017641807,0.91585684,0.031591684,0.000202478,0.052062605],"study_design_scores_gemma":[0.00017502464,0.000028606797,0.005633785,0.0000048859397,0.000002536475,0.00007187553,0.0016734623,0.0017228021,0.9528159,0.0033458853,0.034372933,0.00015230697],"about_ca_topic_score_codex":0.000002618104,"about_ca_topic_score_gemma":0.0000062332083,"teacher_disagreement_score":0.15809108,"about_ca_system_score_codex":0.000010059998,"about_ca_system_score_gemma":0.000041296593,"threshold_uncertainty_score":0.5478467},"labels":[],"label_agreement":null},{"id":"W3122166314","doi":"10.3390/app10030923","title":"Communication with Self-Growing Character to Develop Physically Growing Robot Toy Agent","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Institute for Information and Communications Technology Promotion; Korean Intellectual Property Office; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; Seoul National University","keywords":"Robot; Human–computer interaction; Character (mathematics); Computer science; Psychology; Expression (computer science); Artificial intelligence; Mathematics","score_opus":0.06032415128560029,"score_gpt":0.3380452510993527,"score_spread":0.27772109981375237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122166314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76239806,0.000045013094,0.008934458,0.041405123,0.0005267528,0.0006349044,0.000001713399,0.00045994023,0.18559404],"genre_scores_gemma":[0.9688796,0.000002298163,0.011879283,0.018852275,0.00016112093,0.00007327581,0.0000035357646,0.000010445892,0.00013819642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989641,0.000050090675,0.0001670637,0.0003288072,0.00024829197,0.00024164582],"domain_scores_gemma":[0.999462,0.0001098602,0.00007554196,0.00016216794,0.00005984897,0.00013054979],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022323185,0.00010898481,0.00014028001,0.00004360199,0.00038539345,0.00011114484,0.00043536813,0.000038512724,0.00030278883],"category_scores_gemma":[0.000020153393,0.00009024382,0.000024679173,0.0008251842,0.00008554265,0.0002635514,0.00008899948,0.00015318686,0.0011233697],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035335013,0.00054322137,0.0032760482,0.000025323101,0.00027505978,0.000016138485,0.19592606,0.00062505994,0.16609013,0.48719478,0.0147208655,0.13095398],"study_design_scores_gemma":[0.0042859013,0.001853809,0.21895914,0.0002426965,0.00024602917,0.000038927723,0.14002104,0.001689599,0.06050099,0.0020424658,0.56655926,0.0035601447],"about_ca_topic_score_codex":0.000036652706,"about_ca_topic_score_gemma":0.0000100294865,"teacher_disagreement_score":0.5518384,"about_ca_system_score_codex":0.00003204724,"about_ca_system_score_gemma":0.00005652402,"threshold_uncertainty_score":0.99965435},"labels":[],"label_agreement":null},{"id":"W3122193985","doi":"10.3390/app11020749","title":"Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; École de technologie supérieure","keywords":"Computer science; Reliability (semiconductor); Human error; Process (computing); Reliability engineering; Engineering drawing; Engineering; Power (physics)","score_opus":0.3972258202663263,"score_gpt":0.5615728845805739,"score_spread":0.16434706431424756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122193985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931216,0.000014945093,0.000016120392,0.0007131527,0.00003581525,0.0009536796,0.000005917011,0.00000859022,0.005130136],"genre_scores_gemma":[0.99940634,0.000005407489,0.00023065973,0.000065427994,0.000018500297,0.00018873494,0.00001804057,0.0000035274238,0.00006335544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817103,0.00036708787,0.00052015355,0.00032984503,0.0003316519,0.0002802208],"domain_scores_gemma":[0.9990139,0.0005594697,0.00013413849,0.0001589126,0.00006533242,0.00006826947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00227717,0.00006536792,0.00016829617,0.00022995479,0.0005484716,0.000010344572,0.00011224968,0.00006051244,0.00006374863],"category_scores_gemma":[0.00006695167,0.000059066275,0.000008748098,0.00049805903,0.00014481998,0.00008202864,0.00007112298,0.00024886592,0.000010649038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052882806,0.0004500431,0.96021384,0.000209694,0.0000022798365,0.00006833003,0.006354912,0.000029331526,0.012710233,0.015426239,0.000060691975,0.0044215005],"study_design_scores_gemma":[0.0004818582,0.0000709627,0.9358233,0.000018736999,0.0000014130534,0.000005836607,0.06175444,0.0008571788,0.00035017333,0.0005325512,0.000050291314,0.000053221363],"about_ca_topic_score_codex":0.0014618912,"about_ca_topic_score_gemma":0.016712122,"teacher_disagreement_score":0.05539953,"about_ca_system_score_codex":0.00006466311,"about_ca_system_score_gemma":0.0003520662,"threshold_uncertainty_score":0.9325756},"labels":[],"label_agreement":null},{"id":"W3122600088","doi":"10.3390/app11020834","title":"3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université TÉLUQ","funders":"","keywords":"Kinematics; Physical therapy; Medicine; Physical medicine and rehabilitation; Osteoarthritis; Treadmill; Stair climbing; Biomechanics; Knee pain","score_opus":0.012354950666825015,"score_gpt":0.29237736138621023,"score_spread":0.2800224107193852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122600088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961848,0.00010247134,0.000010897,0.000041986077,0.00004471738,0.0010872048,0.000014426241,0.000027732736,0.0024857451],"genre_scores_gemma":[0.99507016,0.000011843305,0.004660905,0.000041351534,0.00003906067,0.00013005742,0.000009891557,0.0000072890875,0.00002944625],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989014,0.0000108472395,0.00015801846,0.00026508165,0.00046205195,0.00020259056],"domain_scores_gemma":[0.99941796,0.0001360575,0.000051995405,0.0002032058,0.00006632226,0.00012444476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011407134,0.00012834732,0.00026196314,0.000062282044,0.00013306829,0.000045158988,0.000077532284,0.000032738462,0.000019139881],"category_scores_gemma":[0.000053717653,0.00006992467,0.000076178105,0.00039942667,0.00018057841,0.000042387845,0.000064690386,0.000058318983,0.000013241824],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016154803,0.00078102364,0.0026575618,0.000010736396,0.00000903542,0.0000071893833,0.0007052226,0.000028172011,0.0077503077,0.00043632678,0.00007491193,0.98737794],"study_design_scores_gemma":[0.034347743,0.23656793,0.38938215,0.005268757,0.00088110875,0.000096739044,0.0055895387,0.0029740827,0.30792448,0.015032437,0.0006326718,0.0013023879],"about_ca_topic_score_codex":0.0000057038196,"about_ca_topic_score_gemma":0.000014859478,"teacher_disagreement_score":0.9860756,"about_ca_system_score_codex":0.000015487336,"about_ca_system_score_gemma":0.00007488397,"threshold_uncertainty_score":0.2851445},"labels":[],"label_agreement":null},{"id":"W3122879309","doi":"10.3390/app9122494","title":"An Adaptive Biomedical Data Managing Scheme Based on the Blockchain Technique","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Blockchain; Encryption; Construct (python library); Scheme (mathematics); Hash function; Key (lock); Computer security; Data mining; Data science; Computer network","score_opus":0.02844765194031301,"score_gpt":0.2696460223842857,"score_spread":0.2411983704439727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122879309","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032746322,0.000023087912,0.9355264,0.015929632,0.0001019859,0.0010511685,0.00000977441,0.00059023144,0.014021442],"genre_scores_gemma":[0.8813422,0.0000010372743,0.11702914,0.0014414161,0.000022392189,0.0001454678,0.0000036787667,0.0000044699373,0.000010198808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980442,0.00005524153,0.00016827698,0.0009087589,0.00048592885,0.00033757693],"domain_scores_gemma":[0.9971076,0.00025944834,0.000087605615,0.0024506366,0.000023679237,0.000071013375],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002325153,0.00013966253,0.0001278626,0.00019160364,0.0005084698,0.0001318133,0.006634094,0.00010889286,0.00003622309],"category_scores_gemma":[0.000018937244,0.0000908243,0.000020393974,0.0014337116,0.0007408415,0.00011733302,0.0006826142,0.0003006631,0.00011054691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002785535,0.00009555282,0.000059442795,0.0000019490224,0.0000028872948,9.918829e-7,0.000055771587,0.000100364836,0.0056009893,0.9854168,0.000377977,0.008284457],"study_design_scores_gemma":[0.00009677509,0.00017019844,0.00007151528,0.0000102978065,0.0000017374538,0.0000030142903,0.00021101876,0.94168967,0.004886472,0.050106764,0.0025893606,0.0001631998],"about_ca_topic_score_codex":0.00001701236,"about_ca_topic_score_gemma":0.000004719843,"teacher_disagreement_score":0.9415893,"about_ca_system_score_codex":0.000018685829,"about_ca_system_score_gemma":0.00012148174,"threshold_uncertainty_score":0.9987405},"labels":[],"label_agreement":null},{"id":"W3123042981","doi":"10.3390/app11031007","title":"Automated Accuracy Assessment of a Mobile Mapping System with Lightweight Laser Scanning and MEMS Sensors","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NovAtel (Canada); University of Calgary","funders":"","keywords":"Mobile mapping; Point cloud; Laser scanning; Scanner; Computer science; Total station; Cloud computing; Microelectromechanical systems; Remote sensing; Real-time computing; Computer vision; Artificial intelligence; Laser; Geography; Cartography; Materials science","score_opus":0.019303916224108618,"score_gpt":0.24486398224736403,"score_spread":0.2255600660232554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123042981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699167,0.0002748047,0.000050117244,0.000031738968,0.000075329444,0.00012946916,0.000015302347,0.0001393387,0.029367192],"genre_scores_gemma":[0.99598986,0.000014525543,0.0038273588,0.000029101191,0.000021351698,0.000004371261,0.000016515674,0.0000020974176,0.00009481328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877596,0.00005901914,0.00020341067,0.00033924766,0.00036842053,0.00025396972],"domain_scores_gemma":[0.99942017,0.0002064831,0.000117306576,0.00011518339,0.000051454826,0.00008939629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057272584,0.000119971366,0.00021513762,0.00004970274,0.0003822992,0.00013773268,0.0001441928,0.000037763908,0.00012584822],"category_scores_gemma":[0.00001057612,0.000075293414,0.00002067252,0.00064471405,0.00023718567,0.00017735068,0.0000177878,0.00007671135,0.000010647133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029081342,0.000059161168,0.9053813,0.00052077806,0.000112021946,0.00020163634,0.004460628,0.045375455,0.01728321,0.0016039115,0.0003274216,0.024645358],"study_design_scores_gemma":[0.0007070078,0.00030448585,0.75276315,0.00045905192,0.00003605564,0.00024717022,0.04887689,0.18064961,0.014027681,0.000051668652,0.0012022043,0.000675046],"about_ca_topic_score_codex":0.00027253883,"about_ca_topic_score_gemma":0.000284592,"teacher_disagreement_score":0.15261821,"about_ca_system_score_codex":0.0000047598537,"about_ca_system_score_gemma":0.00011918159,"threshold_uncertainty_score":0.30703765},"labels":[],"label_agreement":null},{"id":"W3123314203","doi":"10.3390/app11030994","title":"Dynamic Railway Derailment Risk Analysis with Text-Data-Based Bayesian Network","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Derailment; Computer science; Bayesian probability; Data mining; Bayesian network; Process (computing); Artificial intelligence; Machine learning; Track (disk drive)","score_opus":0.01853046547846462,"score_gpt":0.29366671880873,"score_spread":0.2751362533302654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123314203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30099034,0.0017233283,0.4647524,0.0025899229,0.00064905046,0.0006083979,0.00010333961,0.0003054281,0.2282778],"genre_scores_gemma":[0.9832729,0.000008013562,0.015209417,0.0007236352,0.000055187826,0.00003424444,0.000088121786,0.0000115586,0.00059689465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9977937,0.000130773,0.00023667257,0.0009225168,0.0004089063,0.00050747953],"domain_scores_gemma":[0.9985767,0.00029218534,0.00018522519,0.00080415857,0.000033166143,0.00010855853],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010861977,0.00017274197,0.0002941282,0.00012798865,0.0005740799,0.00012758412,0.00065755565,0.00006756624,0.0032977334],"category_scores_gemma":[0.000016660277,0.00012862957,0.00007318106,0.0027408674,0.00035458908,0.00006527945,0.000104268285,0.00017631127,0.00016032503],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004945567,0.0009868856,0.38011885,0.000030720472,0.0045471243,0.00045521228,0.0046677273,0.38587138,0.0016133122,0.07079597,0.020509083,0.12990917],"study_design_scores_gemma":[0.004048798,0.0005716727,0.66521496,0.000050155137,0.003517786,0.000031727497,0.011574937,0.25196424,0.00044157784,0.0059816916,0.054513253,0.002089204],"about_ca_topic_score_codex":0.00011802493,"about_ca_topic_score_gemma":0.00095105154,"teacher_disagreement_score":0.68228257,"about_ca_system_score_codex":0.000022727481,"about_ca_system_score_gemma":0.00013812089,"threshold_uncertainty_score":0.9976134},"labels":[],"label_agreement":null},{"id":"W3124085352","doi":"10.3390/app11030906","title":"Investigating the Use of Natural and Artificial Records for Prediction of Seismic Response of Regular and Irregular RC Bridges Considering Displacement Directions","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Displacement (psychology); Structural engineering; Geology; Engineering","score_opus":0.037324446792042075,"score_gpt":0.23872877638956602,"score_spread":0.20140432959752394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124085352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974028,0.00038716925,0.0018810412,0.00013177437,0.00006987784,0.00007918925,0.00002217915,0.000012216024,0.000013795249],"genre_scores_gemma":[0.9973807,0.000091625065,0.0024613508,0.00001772657,0.00001578299,0.000011061327,0.0000028190311,0.0000032273422,0.000015704903],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947333,0.000017739087,0.00020376121,0.000109519744,0.0001127717,0.00008285963],"domain_scores_gemma":[0.9995591,0.00024497576,0.00006189082,0.000082397724,0.000034943012,0.000016704653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041152822,0.000054257463,0.00012388424,0.00006310195,0.00012190736,0.00001963634,0.00003906847,0.000016971493,0.0000011837736],"category_scores_gemma":[0.00008926424,0.00004213542,0.00002320531,0.00026004377,0.00035873216,0.000099941244,0.000023579027,0.00003605592,2.827314e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024594674,0.0000087962135,0.0037876654,0.00011123153,0.000053236923,1.2741486e-7,0.0010157388,0.059841935,0.9247609,0.0005615968,0.0001174953,0.009716716],"study_design_scores_gemma":[0.00009330708,0.000022473383,0.009915681,0.000053375792,0.000044617736,0.0000035042126,0.0016238737,0.52128845,0.46619284,0.0003335397,0.00038069757,0.00004767383],"about_ca_topic_score_codex":0.00002632495,"about_ca_topic_score_gemma":0.000019082125,"teacher_disagreement_score":0.4614465,"about_ca_system_score_codex":0.0000073114998,"about_ca_system_score_gemma":0.000026060248,"threshold_uncertainty_score":0.17182325},"labels":[],"label_agreement":null},{"id":"W3124253573","doi":"10.3390/app11030985","title":"FULE—Functionality, Usability, Look-and-Feel and Evaluation Novel User-Centered Product Design Methodology—Illustrated in the Case of an Autonomous Medical Device","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Usability; Formative assessment; Summative assessment; Computer science; Product (mathematics); USable; Product design; Usability goals; Human–computer interaction; Usability inspection; User-centered design; Web usability; User experience design; Pluralistic walkthrough; Software engineering; Process management; Engineering; World Wide Web; Psychology","score_opus":0.28590805497617905,"score_gpt":0.3749711089810484,"score_spread":0.08906305400486936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124253573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863927,0.00011262362,0.006441497,0.004983386,0.000272088,0.00076921954,0.0000018521372,0.000043849777,0.0009827906],"genre_scores_gemma":[0.9910588,0.0000042753304,0.0068909205,0.0017181488,0.00022092965,0.00007097487,0.00001370274,0.0000074226596,0.000014781656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972715,0.00050114724,0.000494358,0.0007363135,0.00076011376,0.00023658689],"domain_scores_gemma":[0.99829704,0.00082937855,0.00023507312,0.00032963837,0.00028500022,0.000023873792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025315084,0.00015802482,0.000237782,0.00016203905,0.00031526477,0.0002579948,0.00029374784,0.00007746574,0.00021365742],"category_scores_gemma":[0.0020634166,0.00011810723,0.000023431248,0.0011372025,0.0007249339,0.00071588915,0.0001729825,0.00016995722,0.0000063296516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064768054,0.0043648486,0.06807703,0.0012476714,0.00024597533,0.0002900482,0.0035881808,0.009235283,0.057555582,0.6650529,0.0020362346,0.18765856],"study_design_scores_gemma":[0.010713729,0.00046771372,0.22528847,0.00023128475,0.0012526576,0.0041098557,0.051372953,0.40810314,0.021209171,0.26965165,0.005110451,0.0024889114],"about_ca_topic_score_codex":0.00058064103,"about_ca_topic_score_gemma":0.0007627589,"teacher_disagreement_score":0.39886785,"about_ca_system_score_codex":0.000028297662,"about_ca_system_score_gemma":0.00028035507,"threshold_uncertainty_score":0.8773753},"labels":[],"label_agreement":null},{"id":"W3125855292","doi":"10.3390/app9173545","title":"Design of Three Phase Solid State Transformer Deployed within Multi-Stage Power Switching Converters","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Total harmonic distortion; Transformer; Electrical engineering; Flyback transformer; Electronic engineering; Converters; Distribution transformer; Quadrature booster; Power factor; Energy efficient transformer; Engineering; Delta-wye transformer; Voltage; Computer science","score_opus":0.047965378462015935,"score_gpt":0.2751918377167256,"score_spread":0.2272264592547097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125855292","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40149248,0.000026513664,0.5967052,0.000009690689,0.00032764915,0.00040634163,0.0000067053343,0.000119262106,0.0009061926],"genre_scores_gemma":[0.99447083,0.00000878969,0.005249947,0.00015202635,0.0000054440748,0.000023379082,0.0000012769268,0.000027889238,0.00006043529],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856555,0.000013852216,0.00037266122,0.00031554137,0.00032742243,0.00040495914],"domain_scores_gemma":[0.9995303,0.00006707075,0.000072145114,0.00021069414,0.000020158148,0.00009960263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043230955,0.0002252607,0.0003016702,0.00013267738,0.00008807441,0.000055620087,0.00041396884,0.000057413894,0.00021265491],"category_scores_gemma":[0.000002632719,0.00018756362,0.00005879943,0.0002443856,0.00016108151,0.00027301064,0.00001436709,0.00014353645,0.00007476778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007025606,0.00007348487,0.0008740029,0.0000839125,0.00008637005,0.000003444489,0.0071606063,0.076130964,0.8819886,0.00034435312,0.000094951385,0.03308907],"study_design_scores_gemma":[0.0015108918,0.000096489166,0.00017135832,0.00002355569,0.000010602124,0.0000011320878,0.0008531049,0.86404836,0.1328714,0.00010974536,0.00003663804,0.0002667496],"about_ca_topic_score_codex":0.000038669627,"about_ca_topic_score_gemma":0.000024917814,"teacher_disagreement_score":0.7879174,"about_ca_system_score_codex":0.000027289827,"about_ca_system_score_gemma":0.00005270758,"threshold_uncertainty_score":0.76486224},"labels":[],"label_agreement":null},{"id":"W3126373846","doi":"10.3390/app11031309","title":"Effects of Elastic Band Plyometric Training on Physical Performance of Team Handball Players","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Throwing; Plyometrics; Physical therapy; Bench press; Anthropometry; Jumping; Physical medicine and rehabilitation; Mathematics; Lower limb; Medicine; Physics; Resistance training; Jump; Surgery","score_opus":0.022395726312972996,"score_gpt":0.26759620589078487,"score_spread":0.24520047957781188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126373846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98033684,0.000084991894,0.00001722663,0.000019644373,0.000088014545,0.00012468931,5.831611e-7,0.0000149944635,0.019313019],"genre_scores_gemma":[0.99938256,0.00003282215,0.000324189,0.000102875376,0.000076274715,0.000010058332,0.0000020178752,0.000005926473,0.00006327557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988892,0.0000033602378,0.00018459505,0.00023029807,0.00046814047,0.00022440293],"domain_scores_gemma":[0.9994823,0.00020478558,0.000100702026,0.00010934087,0.00003866393,0.00006423488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022690366,0.00010048676,0.00032708992,0.0002290668,0.00008921351,0.000007616417,0.00009220331,0.000045539204,0.000021462047],"category_scores_gemma":[0.000051235027,0.00007556782,0.00005506192,0.0011788459,0.0003180831,0.00006367039,0.000016149834,0.00015093018,0.000009881973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059858797,0.0012025927,0.123180084,0.0017089114,0.00016235844,0.00005260686,0.01586401,0.0024503593,0.7606308,0.005889922,0.00012706014,0.08813272],"study_design_scores_gemma":[0.0013850444,0.0010360295,0.25011224,0.00033932072,0.00007650545,0.000016248807,0.0013738686,0.0029613492,0.74247694,0.000029639614,0.000076815835,0.00011599358],"about_ca_topic_score_codex":0.0000019674494,"about_ca_topic_score_gemma":4.387737e-7,"teacher_disagreement_score":0.12693214,"about_ca_system_score_codex":0.000011798797,"about_ca_system_score_gemma":0.00019440877,"threshold_uncertainty_score":0.3081566},"labels":[],"label_agreement":null},{"id":"W3126440981","doi":"10.3390/app11041412","title":"A Drone-Enabled Approach for Gas Leak Detection Using Optical Flow Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drone; Usability; Gas leak; Leak; Computer science; Process (computing); Environmental science; Greenhouse gas; Automotive engineering; Systems engineering; Engineering; Human–computer interaction; Environmental engineering; Geology","score_opus":0.03585427668615793,"score_gpt":0.29919878506796527,"score_spread":0.26334450838180734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126440981","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066150315,0.000052083615,0.98744524,0.00014662086,0.00010430014,0.0001287676,5.6429366e-7,0.00008784909,0.0054195276],"genre_scores_gemma":[0.4829521,0.0000019453478,0.51680523,0.00015703494,0.000028181325,0.000014378835,0.000001192526,0.0000025858044,0.00003739217],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983464,0.000022976108,0.00019234214,0.0006929958,0.0003766482,0.00036865065],"domain_scores_gemma":[0.99934065,0.00009911861,0.00006677187,0.00031266682,0.00008730973,0.000093482864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574139,0.0001142389,0.00020352968,0.00020628798,0.0006229225,0.0004000739,0.0005189928,0.000036133122,0.000008440291],"category_scores_gemma":[0.000058672314,0.00009920724,0.00011203943,0.002923745,0.00015524411,0.00048214855,0.00019429487,0.00008357665,0.0000048240086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001419694,0.00017472196,0.000186646,0.000026088208,0.000110034554,0.0000062833333,0.0005951968,0.26607364,0.21612397,0.06444675,0.000035816443,0.45220667],"study_design_scores_gemma":[0.00016251145,0.000017210821,0.00006432999,0.0000020943855,0.0000376032,0.000008722757,0.00027737173,0.9308194,0.06475124,0.0035041396,0.00021769093,0.00013768254],"about_ca_topic_score_codex":0.0000041424955,"about_ca_topic_score_gemma":0.000016204465,"teacher_disagreement_score":0.66474575,"about_ca_system_score_codex":0.00003924148,"about_ca_system_score_gemma":0.000109430664,"threshold_uncertainty_score":0.47910795},"labels":[],"label_agreement":null},{"id":"W3126644703","doi":"10.3390/app11041572","title":"First Multiplatform Application for Pharmacies in Spain, Which Guides the Prescription of Probiotics According to Pathology","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Medical prescription; Context (archaeology); Probiotic; Computer science; Medicine; Biology; Pharmacology","score_opus":0.02976854568539909,"score_gpt":0.3113867284838237,"score_spread":0.2816181827984246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126644703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854787,0.00016769361,0.011945266,0.0011402372,0.000081849415,0.0006649682,0.000011835557,0.000005152884,0.00050427375],"genre_scores_gemma":[0.9911632,0.00006511471,0.008154502,0.00040310848,0.000054325254,0.000101121084,0.00002449864,0.000004359205,0.000029752684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999301,0.000012052383,0.00018198512,0.00026167816,0.000060232138,0.0001830448],"domain_scores_gemma":[0.9996363,0.000030091109,0.00006761154,0.00014753328,0.00009497346,0.000023483719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052151835,0.000066365814,0.000090683425,0.000033897053,0.00016135411,0.000017643197,0.00019477685,0.00005708432,0.0000015435154],"category_scores_gemma":[0.00008182114,0.000050177354,0.000022043192,0.0002730179,0.00009517268,0.000003979262,0.000084993626,0.000036609857,0.0000017048949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000250616,0.000023868904,0.002214176,0.000037445043,0.000002678009,8.426889e-8,0.00023851272,0.00089006475,0.9926927,0.0020148682,0.00017023156,0.0016903101],"study_design_scores_gemma":[0.0004134557,0.00015122861,0.0063061113,0.000015494628,0.000008449479,0.000008528438,0.002366545,0.0009458111,0.9758324,0.0005658528,0.0132541815,0.00013192638],"about_ca_topic_score_codex":0.000013068421,"about_ca_topic_score_gemma":0.0006689496,"teacher_disagreement_score":0.016860284,"about_ca_system_score_codex":0.00001013179,"about_ca_system_score_gemma":0.00011373275,"threshold_uncertainty_score":0.20461732},"labels":[],"label_agreement":null},{"id":"W3126725863","doi":"10.3390/app11031207","title":"Effect of Compressive Strain Rate on Auxetic Foam","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Auxetics; Materials science; Composite material; Poisson's ratio; Modulus; Indentation; Strain (injury); Poisson distribution; Strain rate; Compression (physics); Mathematics","score_opus":0.004780524110055341,"score_gpt":0.2182435927182982,"score_spread":0.21346306860824288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126725863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413989,0.00019058047,0.0003462587,0.0000110353185,0.00014998697,0.00006781141,0.000005136746,0.000045941597,0.057784326],"genre_scores_gemma":[0.99978656,0.0000044084986,0.00013245408,0.000020340587,0.000023316854,0.0000048480083,0.0000031421953,0.00000425603,0.000020693613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952805,0.000023978015,0.00007761932,0.00012390224,0.00012713842,0.000119290584],"domain_scores_gemma":[0.9997159,0.00013548246,0.000014025823,0.000100907986,0.0000071718273,0.000026493999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013200546,0.000074805204,0.00011403977,0.000030757034,0.00005700992,0.000025401745,0.00013422903,0.000021478403,0.00006119483],"category_scores_gemma":[0.0000057728817,0.00005812699,0.000030380817,0.00018642975,0.00009999011,0.00001693412,0.000019820081,0.000058730195,0.000010795135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000725441,0.000004354692,0.000035406483,0.000046794416,0.000011069442,0.000005787621,0.00011787116,0.04145005,0.9382619,0.0068752067,0.000100648904,0.013083604],"study_design_scores_gemma":[0.0001672363,0.00008375988,0.00078158645,0.00001302481,0.00000773736,0.0000023189823,0.00004517627,0.0043755285,0.9934106,0.0008473962,0.00018770252,0.00007794375],"about_ca_topic_score_codex":0.0000014939598,"about_ca_topic_score_gemma":0.0000019030919,"teacher_disagreement_score":0.05838762,"about_ca_system_score_codex":0.0000055039677,"about_ca_system_score_gemma":0.00001086831,"threshold_uncertainty_score":0.23703498},"labels":[],"label_agreement":null},{"id":"W3126775844","doi":"10.3390/app11041460","title":"Thermal Effects on Photovoltaic Array Performance: Experimentation, Modeling, and Simulation","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Wind speed; Photovoltaic system; Environmental science; Thermal; Irradiance; Computational fluid dynamics; Solar irradiance; Wind direction; Meteorology; Marine engineering; Materials science; Mechanics; Engineering; Optics; Physics; Electrical engineering","score_opus":0.020287361027884074,"score_gpt":0.27642583329312687,"score_spread":0.2561384722652428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126775844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95179075,0.00008210714,0.010489608,0.00001636407,0.00009715565,0.00022643936,4.708067e-7,0.00018648243,0.037110623],"genre_scores_gemma":[0.9938653,0.000021061245,0.0054555833,0.00036912263,0.0000593557,0.000119066004,0.0000074155287,0.000012258418,0.00009083849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988898,0.000043112228,0.00018996818,0.0003570926,0.0003367504,0.00018324943],"domain_scores_gemma":[0.9995393,0.00011701366,0.00006693798,0.00016487771,0.00006206856,0.000049766077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025467985,0.00012725206,0.00013266,0.000088159875,0.0003203443,0.00009856098,0.00011626845,0.000058957427,0.00006959841],"category_scores_gemma":[0.000029773435,0.000111310736,0.00001997205,0.0003502459,0.00008493439,0.00018278234,0.00002710574,0.000055839853,0.000022788068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000822958,0.00001528423,0.00022127754,0.000013123703,0.0000043392865,5.6548674e-7,0.0006000183,0.5332876,0.46172604,0.0014446067,0.000013536417,0.002665385],"study_design_scores_gemma":[0.00015623987,0.000038202656,0.00010470884,0.000018367096,0.0000032715764,7.861093e-7,0.00022309928,0.37554955,0.6234286,0.0002613042,0.000119774006,0.000096133306],"about_ca_topic_score_codex":0.000052427044,"about_ca_topic_score_gemma":0.000006829461,"teacher_disagreement_score":0.16170254,"about_ca_system_score_codex":0.000034707355,"about_ca_system_score_gemma":0.000052207215,"threshold_uncertainty_score":0.453912},"labels":[],"label_agreement":null},{"id":"W3127404465","doi":"10.3390/app11031286","title":"Binary Spring Search Algorithm for Solving Various Optimization Problems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Binary number; Meta-optimization; Algorithm; Computer science; Population; Multi-swarm optimization; Optimization problem; Genetic algorithm; Mathematical optimization; Metaheuristic; Mathematics","score_opus":0.04237186069110017,"score_gpt":0.2957470829865803,"score_spread":0.25337522229548015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127404465","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017244299,0.0001662368,0.9936163,0.00075082626,0.0002826842,0.00048259372,0.0000030038466,0.00016674511,0.0043591866],"genre_scores_gemma":[0.012575976,0.00005964417,0.9865112,0.00018726599,0.00008543026,0.000117712356,0.0000065492727,0.00001332891,0.00044289825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997235,0.00006125291,0.00031308492,0.00086024,0.00091317564,0.00061725144],"domain_scores_gemma":[0.9985521,0.0003732015,0.00008057804,0.0004582732,0.00037812028,0.00015773185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018464813,0.00015204794,0.00019489179,0.00024807887,0.000836158,0.00090415176,0.0012455502,0.000065512206,0.000068694484],"category_scores_gemma":[0.00014208173,0.0001448758,0.000054243537,0.0020584806,0.0002099627,0.00051962,0.0006144889,0.00015105616,0.000032044503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001094394,0.00008932638,0.000028297114,0.00003162309,0.000013995383,0.000011909461,0.00045029973,0.832548,0.0020156458,0.044444334,0.0001666709,0.12019881],"study_design_scores_gemma":[0.00027653636,0.000052188887,0.000030329207,0.000012572156,0.000003482043,0.000011189076,0.00010733156,0.9927242,0.0048748413,0.0011410667,0.0005800955,0.00018618077],"about_ca_topic_score_codex":0.000019463456,"about_ca_topic_score_gemma":0.0000028883985,"teacher_disagreement_score":0.16017619,"about_ca_system_score_codex":0.000057806174,"about_ca_system_score_gemma":0.0006206872,"threshold_uncertainty_score":0.8718756},"labels":[],"label_agreement":null},{"id":"W3128310325","doi":"10.3390/app11041538","title":"Dynamic Line Scan Thermography Optimisation Using Response Surfaces Implemented on PVC Flat Bottom Hole Plates","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Thermography; Line (geometry); Set (abstract data type); Contrast (vision); Computer science; Materials science; Biological system; Mathematics; Artificial intelligence; Optics; Geometry","score_opus":0.018941030791680476,"score_gpt":0.2656484494834336,"score_spread":0.2467074186917531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128310325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940044,0.00028797082,0.003791635,0.000058362428,0.00013357078,0.00018980034,0.00009342193,0.00048950745,0.0009513192],"genre_scores_gemma":[0.9901178,0.00005677763,0.009683458,0.000060029914,0.000015874784,0.000019216368,0.000015832975,0.000019911391,0.000011133649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884766,0.000048575286,0.0002137864,0.00030616982,0.00026831133,0.00031552176],"domain_scores_gemma":[0.99943954,0.0002067403,0.00004787958,0.00021603727,0.000028401855,0.00006137728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061961217,0.00018267734,0.00016046508,0.00023613292,0.00027860847,0.00011174105,0.00022493387,0.00007787933,0.000088793364],"category_scores_gemma":[0.000012458427,0.00016597897,0.0000686033,0.0010382785,0.00019140767,0.000098349556,0.000030184536,0.00015008,0.0000021624633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058594156,0.00001612321,0.00016689704,0.000012212352,0.000026882011,0.0000041164967,0.00038080473,0.068158105,0.928518,0.00037664457,0.000046503115,0.0022351334],"study_design_scores_gemma":[0.00032264786,0.00013744274,0.0050544767,0.0000739808,0.000034931443,0.0000070120846,0.0012244774,0.21004808,0.78028065,0.0019717284,0.00038193905,0.0004626391],"about_ca_topic_score_codex":0.000021658592,"about_ca_topic_score_gemma":0.00002249707,"teacher_disagreement_score":0.14823733,"about_ca_system_score_codex":0.000035293233,"about_ca_system_score_gemma":0.000047616086,"threshold_uncertainty_score":0.67684263},"labels":[],"label_agreement":null},{"id":"W3128974934","doi":"10.3390/app11041561","title":"Thermal and Electrochemical Properties of Solid Polymer Electrolytes Prepared via Lithium Salt-Catalyzed Epoxide Ring Opening Polymerization","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epoxide; Materials science; Polymer; Polymerization; Electrolyte; Lithium (medication); Polymer chemistry; Chemical engineering; Catalysis; Organic chemistry; Chemistry; Electrode; Composite material","score_opus":0.009115888066133193,"score_gpt":0.20910322230689338,"score_spread":0.19998733424076018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128974934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919642,0.0021105155,0.004926233,0.000051945153,0.00004257095,0.00008769466,0.0000014357065,0.00022435642,0.0005910226],"genre_scores_gemma":[0.99838626,0.00006112673,0.0014527501,0.00001658711,0.000025796717,0.000029201963,0.0000031546228,0.000013303367,0.00001180206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915767,0.000008075622,0.00020311058,0.00022906232,0.00013112031,0.00027095963],"domain_scores_gemma":[0.99976575,0.000021597796,0.000048554226,0.00012255763,0.000017240016,0.000024291832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085350286,0.00012396614,0.00019306998,0.000053643857,0.00010441296,0.000048305617,0.0001623036,0.000055161297,0.000010284992],"category_scores_gemma":[0.00001896816,0.00010299656,0.000016442564,0.00025397755,0.00022303147,0.00017336241,0.00009024148,0.00006540571,0.0000013015411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010126026,0.0000063873126,0.000057945406,0.000034844332,0.0000128404645,6.1448117e-7,0.00013996492,0.0003029749,0.9975481,0.0005149688,0.0000012116061,0.0013700322],"study_design_scores_gemma":[0.00010165399,0.0000148444,0.00009103521,0.00002461291,0.000007863491,0.000008166896,0.00014860406,0.002141028,0.99705255,0.00027147573,0.0000060391676,0.0001321168],"about_ca_topic_score_codex":0.0000044295125,"about_ca_topic_score_gemma":0.0000023362727,"teacher_disagreement_score":0.0064220517,"about_ca_system_score_codex":0.000011050766,"about_ca_system_score_gemma":0.000027716802,"threshold_uncertainty_score":0.4200078},"labels":[],"label_agreement":null},{"id":"W3129145857","doi":"10.3390/app11031279","title":"Integrating Mobile Thermal Energy Storage (M-TES) in the City of Surrey’s District Energy Network: A Techno-Economic Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Truck; Environmental science; Renewable energy; Greenhouse gas; Waste management; Boiler (water heating); Thermal energy storage; Natural gas; Environmental engineering; Engineering; Automotive engineering; Electrical engineering","score_opus":0.007274119998688952,"score_gpt":0.20101406502336266,"score_spread":0.1937399450246737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129145857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8184327,0.0006742701,0.124073975,0.000019591835,0.00025899935,0.00008714959,0.000012670308,0.00013977528,0.05630086],"genre_scores_gemma":[0.9987205,0.000036840454,0.0009792424,0.000026311618,0.00006258695,0.00009917474,0.000028948338,0.000010255885,0.00003613508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987919,0.00006808301,0.0003831406,0.0002664111,0.00020164192,0.00028886303],"domain_scores_gemma":[0.9994086,0.00016216759,0.00010055403,0.00027011966,0.000033370707,0.000025166404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061262446,0.00015521674,0.0002821597,0.00020897755,0.00011788,0.00008088951,0.00043409187,0.000089939356,0.000064909575],"category_scores_gemma":[0.00001246483,0.00011395111,0.00008706901,0.0027235625,0.0001294727,0.000107484375,0.000042308897,0.000114250375,0.0000011690167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012477714,0.000011731022,0.0015110411,0.0000035034611,0.000049925948,0.0000021502135,0.00019816389,0.95740116,0.0020961575,0.036298856,0.000027493883,0.002398597],"study_design_scores_gemma":[0.00010774328,0.000018211353,0.0011294708,0.000017514827,0.0000512319,0.0000031790305,0.0021980326,0.9798016,0.015438226,0.0002714039,0.00074290804,0.000220502],"about_ca_topic_score_codex":0.0021212862,"about_ca_topic_score_gemma":0.0042288406,"teacher_disagreement_score":0.1802878,"about_ca_system_score_codex":0.000093787174,"about_ca_system_score_gemma":0.000072024945,"threshold_uncertainty_score":0.46467912},"labels":[],"label_agreement":null},{"id":"W3129172140","doi":"10.3390/app11031331","title":"Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; École de technologie supérieure","keywords":"Computer science; Bandwidth (computing); Electronic engineering; Band-stop filter; Narrowband; Detector; Telecommunications; Engineering; Low-pass filter","score_opus":0.020650483746217013,"score_gpt":0.22790446486849514,"score_spread":0.20725398112227814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129172140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222894,0.00013396503,0.077085,0.00004717161,0.00011198616,0.0000893518,0.000009375791,0.00009773211,0.00013606786],"genre_scores_gemma":[0.9858855,0.000097863,0.013907933,0.000021162024,0.000034989367,0.000021500113,0.000014841798,0.000009594015,0.0000066029793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933887,0.000018883273,0.00016717962,0.00021576406,0.00011153547,0.0001478003],"domain_scores_gemma":[0.99965376,0.00009010251,0.000037213184,0.0001336033,0.000038247843,0.00004706385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013200556,0.00010300378,0.0001067826,0.0000765323,0.0003766659,0.00019786645,0.00010841442,0.00004828806,0.000011378528],"category_scores_gemma":[0.00002389884,0.000107759246,0.000010001852,0.0003401776,0.0001695028,0.0002567026,0.00007697065,0.00008627314,0.0000014402141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.887168e-7,0.000004151428,0.00043769515,0.00001874188,0.0000060112584,3.1765757e-7,0.00050566945,0.0066682203,0.95776606,0.00009815681,9.499055e-7,0.03449312],"study_design_scores_gemma":[0.0001134195,0.000007160589,0.0074759694,0.000023504082,0.0000058464043,0.0000136776025,0.0005200367,0.73569876,0.2558607,0.00005031262,0.00010603242,0.0001245912],"about_ca_topic_score_codex":0.000015784015,"about_ca_topic_score_gemma":0.000074270254,"teacher_disagreement_score":0.72903055,"about_ca_system_score_codex":0.000021121336,"about_ca_system_score_gemma":0.00001809334,"threshold_uncertainty_score":0.43942946},"labels":[],"label_agreement":null},{"id":"W3130824979","doi":"10.3390/app11041592","title":"A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Government of Canada; Canadian Bureau for International Education; University of Regina","keywords":"Multilayer perceptron; Computer science; Ultrasonic sensor; Artificial neural network; Operator (biology); Grid; Artificial intelligence; Acoustics; Geography","score_opus":0.04736817736903627,"score_gpt":0.29391525055914913,"score_spread":0.24654707319011288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130824979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777421,0.000016310782,0.015307011,0.0000014213757,0.00006572389,0.00037609242,0.0000014083885,0.00016837598,0.006321608],"genre_scores_gemma":[0.90238684,0.0000017174394,0.09754175,0.0000058775827,0.000020343678,0.000026356674,9.966471e-7,0.000015585973,5.090282e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99892104,0.000019998,0.00030230812,0.00028681534,0.00027165283,0.00019817027],"domain_scores_gemma":[0.9994235,0.00013288941,0.00008080622,0.00025965238,0.000059802656,0.00004335958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032844595,0.00012990303,0.00021997027,0.00013422834,0.00008491664,0.000025959458,0.0002504847,0.00005460872,0.000008900964],"category_scores_gemma":[0.000033281427,0.00013026998,0.00002198445,0.0009917655,0.00014581543,0.000058702237,0.00005487592,0.00010314932,0.0000012996774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004159123,0.000076280085,0.01707887,0.000016054055,0.000012613776,3.6102566e-7,0.001592826,0.046913803,0.9285653,0.0051109847,0.0000056613067,0.00062306394],"study_design_scores_gemma":[0.0008126872,0.00029148193,0.6884132,0.00010046074,0.000091160895,0.000015999422,0.021153169,0.042208333,0.2334598,0.012602824,0.0000073978417,0.00084351003],"about_ca_topic_score_codex":0.000032737804,"about_ca_topic_score_gemma":0.000025757494,"teacher_disagreement_score":0.69510555,"about_ca_system_score_codex":0.00006438338,"about_ca_system_score_gemma":0.000039708368,"threshold_uncertainty_score":0.53122556},"labels":[],"label_agreement":null},{"id":"W3131161205","doi":"10.3390/app11041879","title":"Long-Term Trends in Regional Wet Mercury Deposition and Lacustrine Mercury Concentrations in Four Lakes in Voyageurs National Park","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Park Service","keywords":"Mercury (programming language); Methylmercury; Environmental science; Environmental chemistry; Sulfate; Aquatic ecosystem; Biota; Biomonitoring; Deposition (geology); Ecology; Bioaccumulation; Chemistry; Geology; Biology; Sediment","score_opus":0.040673243386317656,"score_gpt":0.29456506690851914,"score_spread":0.25389182352220147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131161205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834231,0.00022249605,0.000028356571,0.0020839684,0.000045555906,0.00009661977,0.0000075791295,0.000010371864,0.0140819205],"genre_scores_gemma":[0.99892944,0.00020019892,0.00029943552,0.00035965737,0.000020376905,0.00004001295,0.00002509584,0.0000032562791,0.00012252698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862635,0.000059514812,0.00026016936,0.0003549866,0.00044156454,0.0002573964],"domain_scores_gemma":[0.99968624,0.00011818387,0.000059902282,0.00006383457,0.00000981251,0.00006202081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046400193,0.000111905436,0.00014357209,0.00015391537,0.00015031396,0.000054876375,0.00011008232,0.00004609879,0.00032498507],"category_scores_gemma":[0.00003499252,0.00010494573,0.000018881337,0.001205775,0.000482962,0.00031645334,0.00007351129,0.000114559116,0.000016695556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009552625,0.00007977105,0.97134626,0.0000038524436,0.0000033857666,0.000023457018,0.0008792332,0.0007419033,0.013894869,0.0032563317,0.00057128526,0.009190103],"study_design_scores_gemma":[0.00044107245,0.000017030945,0.99583495,0.000019404002,0.0000031310094,0.000013663995,0.0005136377,0.00030585466,0.0014834555,0.0010261295,0.00020678819,0.00013486488],"about_ca_topic_score_codex":0.00012218983,"about_ca_topic_score_gemma":0.010597273,"teacher_disagreement_score":0.024488712,"about_ca_system_score_codex":0.000106101965,"about_ca_system_score_gemma":0.00005101497,"threshold_uncertainty_score":0.5913527},"labels":[],"label_agreement":null},{"id":"W3131757198","doi":"10.3390/app11041936","title":"A Study on Liquid Leak Rates in Packing Seals","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Leak; Materials science; Porous medium; Kerosene; Volumetric flow rate; Porosity; Petroleum engineering; Leakage (economics); Liquid flow; Waste management; Environmental science; Mechanics; Forensic engineering; Environmental engineering; Engineering; Composite material; Chemistry","score_opus":0.03685063756526205,"score_gpt":0.28103175080282927,"score_spread":0.24418111323756722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131757198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771767,0.00021794133,0.000041133593,0.00015377051,0.00009265828,0.00010682158,4.3355288e-7,0.0002999094,0.021910595],"genre_scores_gemma":[0.99970436,0.000018608998,0.0001428627,0.000036934096,0.00001614104,0.000042189058,2.9418075e-7,0.000005942937,0.00003265926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930865,0.000007774047,0.00010197432,0.00020029549,0.00016297083,0.00021833948],"domain_scores_gemma":[0.9997611,0.00006127642,0.00001068414,0.00014271724,0.000006772622,0.000017432978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022219919,0.00008483669,0.00011240259,0.000096305106,0.00006730165,0.000053445558,0.00019851822,0.00003849404,0.000020719193],"category_scores_gemma":[0.000025540992,0.0000725545,0.000015381853,0.00070379185,0.00007737614,0.000047283484,0.00005119774,0.000104576386,0.000037723054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005020609,0.00060532644,0.07023478,0.00005213287,0.000096786964,0.00035208208,0.013187733,0.047475673,0.78694963,0.053951584,0.0022552067,0.024788879],"study_design_scores_gemma":[0.0008098757,0.00047777843,0.03750761,0.00005166413,0.000011691424,0.000008369586,0.12884717,0.0011886435,0.8256465,0.0033824628,0.0014633362,0.0006048782],"about_ca_topic_score_codex":0.000004355951,"about_ca_topic_score_gemma":0.00021589122,"teacher_disagreement_score":0.11565943,"about_ca_system_score_codex":0.000021851138,"about_ca_system_score_gemma":0.000021814983,"threshold_uncertainty_score":0.29586866},"labels":[],"label_agreement":null},{"id":"W3131800903","doi":"10.3390/app11041649","title":"Demosaicing by Differentiable Deep Restoration","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Demosaicing; Artificial intelligence; Computer science; Computer vision; Image restoration; Color filter array; Minification; Image (mathematics); Subspace topology; Convolutional neural network; Color image; Mathematics; Color gel; Image processing","score_opus":0.022582824058403905,"score_gpt":0.2709209141159076,"score_spread":0.24833809005750368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131800903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025323266,0.00037020483,0.94846344,0.0005180957,0.00019796954,0.000046160203,2.7259642e-7,0.00008720803,0.024993379],"genre_scores_gemma":[0.775979,0.000009950347,0.22223575,0.00085579,0.00004341378,0.000007442937,0.0000024927406,0.0000035374694,0.00086261233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987652,0.0000782242,0.00013969632,0.00040701855,0.00035748337,0.000252384],"domain_scores_gemma":[0.99946314,0.00012596874,0.00005136451,0.00025707192,0.00004645923,0.000056005058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006421274,0.00008295663,0.00010487643,0.00004712811,0.00046945433,0.0005301766,0.00058739004,0.000033893306,0.000026287767],"category_scores_gemma":[0.000043101856,0.00007183164,0.000025146328,0.0007979488,0.0001006908,0.00041626528,0.00015722157,0.00007592758,0.00004423698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002378728,0.00004592653,0.00016537517,0.000007252808,0.0000054843445,0.000011388976,0.0005766351,0.00021927971,0.7788803,0.14936224,0.006523951,0.06419979],"study_design_scores_gemma":[0.0003608419,0.000042379088,0.00040422945,0.000013109633,0.0000070267324,0.000018921755,0.00018737097,0.04056044,0.9016173,0.04794913,0.008535126,0.00030410505],"about_ca_topic_score_codex":0.000011616973,"about_ca_topic_score_gemma":0.00000643771,"teacher_disagreement_score":0.7506558,"about_ca_system_score_codex":0.000017657148,"about_ca_system_score_gemma":0.00008973138,"threshold_uncertainty_score":0.5112505},"labels":[],"label_agreement":null},{"id":"W3133195712","doi":"10.3390/app11041579","title":"A Study of EEG Feature Complexity in Epileptic Seizure Prediction","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique; Université TÉLUQ","funders":"","keywords":"Ictal; Electroencephalography; Pattern recognition (psychology); Epileptic seizure; Epilepsy; Artificial intelligence; Computer science; Feature (linguistics); Linear discriminant analysis; Machine learning; Psychology; Neuroscience","score_opus":0.0799152596622724,"score_gpt":0.30831281205287153,"score_spread":0.2283975523905991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133195712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888993,0.000022449418,0.000064073014,0.00031856578,0.00021713508,0.00023960014,0.000008007943,0.000040245435,0.0101906555],"genre_scores_gemma":[0.9991026,0.0000029598534,0.00046721485,0.00025684715,0.00002703752,0.000015325706,7.5633716e-7,0.0000035579767,0.0001237257],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985329,0.000106450265,0.0002012071,0.0005179189,0.00042582556,0.00021569904],"domain_scores_gemma":[0.99947083,0.0001908081,0.00008137352,0.00019443038,0.00002374788,0.000038791943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003263729,0.00010102464,0.00017925532,0.00010070002,0.00016512905,0.00007077503,0.00039493857,0.000040708546,0.000034057903],"category_scores_gemma":[0.00007578637,0.00008155025,0.000024777177,0.0010873713,0.00036464704,0.00012583366,0.00014909943,0.00016760682,0.0000093823455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035936922,0.0016044783,0.028911136,0.000040861916,0.00000741201,0.0000850906,0.011317291,0.0022158145,0.93575555,0.015144695,0.0014285247,0.0034532116],"study_design_scores_gemma":[0.0019301124,0.001081789,0.22744884,0.00009017252,0.000018478648,0.00009435911,0.02072912,0.007033135,0.7309229,0.009490136,0.00073581346,0.00042514826],"about_ca_topic_score_codex":0.000018349325,"about_ca_topic_score_gemma":0.00021321858,"teacher_disagreement_score":0.20483266,"about_ca_system_score_codex":0.000015749423,"about_ca_system_score_gemma":0.000065848995,"threshold_uncertainty_score":0.33255228},"labels":[],"label_agreement":null},{"id":"W3133197453","doi":"10.3390/app11041664","title":"Aerodynamic Design Optimization of a Morphing Leading Edge and Trailing Edge Airfoil–Application on the UAS-S45","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Airfoil; Aerodynamics; Trailing edge; Lift coefficient; Aerospace engineering; Computer science; Leading edge; Solver; Engineering; Mathematics; Mathematical optimization; Turbulence; Structural engineering; Physics; Mechanics","score_opus":0.023181921198107285,"score_gpt":0.21977414338116122,"score_spread":0.19659222218305394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133197453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10761634,0.00008708611,0.888481,0.0002059455,0.000057867648,0.00016760737,0.0000012882022,0.00006119678,0.0033216737],"genre_scores_gemma":[0.98994386,0.000021942504,0.009862389,0.00007806751,0.000039482104,0.00003365747,0.0000022644645,0.0000072102994,0.000011112715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993633,0.000024451196,0.00015878497,0.00017573149,0.00014821574,0.00012952907],"domain_scores_gemma":[0.9994553,0.000352404,0.000043321226,0.00009889256,0.000024261955,0.000025875817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038679122,0.00008236867,0.000105762905,0.000046032317,0.00023888145,0.000067456356,0.000116959534,0.00003767621,0.000016905695],"category_scores_gemma":[0.00005087367,0.000065658176,0.000016774837,0.0003372252,0.0001181309,0.00011592416,0.000015616342,0.00008324031,0.0000059455224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026884718,0.0000062232825,0.000018830244,0.000010981791,0.0000049969926,1.2224876e-7,0.00029885583,0.8749462,0.09931214,0.023493355,0.00002038686,0.0018852545],"study_design_scores_gemma":[0.000107282314,0.000016335976,0.00016516927,0.00001870158,0.0000095119185,0.0000015695585,0.00037951255,0.95954496,0.039311588,0.0003449064,0.000022055,0.00007841502],"about_ca_topic_score_codex":0.0000013652002,"about_ca_topic_score_gemma":0.000007938877,"teacher_disagreement_score":0.88232756,"about_ca_system_score_codex":0.000012770332,"about_ca_system_score_gemma":0.000028742643,"threshold_uncertainty_score":0.26774627},"labels":[],"label_agreement":null},{"id":"W3133532155","doi":"10.3390/app11052187","title":"Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Artificial intelligence; Benchmark (surveying); Computer science; Pattern recognition (psychology); Anomaly detection; Anomaly (physics); Convolutional neural network; Image (mathematics); Discriminator; Pipeline (software); Deep learning; Neuroimaging; Autoencoder; Medicine; Cartography","score_opus":0.04128451734625569,"score_gpt":0.29893171217543135,"score_spread":0.25764719482917564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133532155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37727872,0.00007092112,0.6215761,0.000061947954,0.0000141651435,0.00008087107,0.0000026916998,0.00007115242,0.0008434524],"genre_scores_gemma":[0.8559062,0.000011669197,0.1439816,0.00005318025,0.000010437909,0.000019426832,0.0000046458576,0.0000034573789,0.000009390791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861443,0.00005269578,0.0002708128,0.0005468832,0.00029940595,0.00021576614],"domain_scores_gemma":[0.9992983,0.00003948632,0.000120171295,0.0003664905,0.00007078911,0.00010480928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040451006,0.00010811277,0.00022021185,0.00038458343,0.00027489572,0.00012539166,0.0005955242,0.000026356834,0.000020634106],"category_scores_gemma":[0.00001508979,0.0001059895,0.00009665786,0.0034546247,0.00017921938,0.0004395023,0.00019063309,0.0000940122,0.0000014678267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006535094,0.00017440364,0.0068577807,0.0000040980267,0.00005737185,0.0000095244895,0.0005108165,0.8885104,0.04326862,0.052999858,0.0000024700937,0.0075980844],"study_design_scores_gemma":[0.000088887755,0.000015122695,0.007191726,0.000002709187,0.00010991396,9.046635e-7,0.00016123487,0.97833765,0.011012059,0.0029408094,0.0000093060835,0.00012967833],"about_ca_topic_score_codex":0.00012444476,"about_ca_topic_score_gemma":0.00005784696,"teacher_disagreement_score":0.4786275,"about_ca_system_score_codex":0.000020299549,"about_ca_system_score_gemma":0.00019164241,"threshold_uncertainty_score":0.43221262},"labels":[],"label_agreement":null},{"id":"W3133758802","doi":"10.3390/app11052110","title":"Low-Temperature and Low-Pressure Silicon Nitride Deposition by ECR-PECVD for Optical Waveguides","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elastic recoil detection; Plasma-enhanced chemical vapor deposition; Materials science; Silicon oxynitride; Silicon nitride; Analytical Chemistry (journal); Rutherford backscattering spectrometry; Ellipsometry; Silicon; Annealing (glass); Refractive index; Chemical vapor deposition; Thin film; Optoelectronics; Chemistry; Nanotechnology; Composite material","score_opus":0.006350949996725532,"score_gpt":0.21590412444529503,"score_spread":0.2095531744485695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133758802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98064935,0.0019423495,0.0006611301,0.00016404664,0.00011178121,0.00016792284,0.000024322653,0.000102032005,0.016177054],"genre_scores_gemma":[0.9971715,0.000103373786,0.0023473552,0.00017936793,0.00006097772,0.000040820334,0.000016657532,0.000009805914,0.000070140784],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915063,0.0000053874064,0.00014083658,0.00027589346,0.00016562463,0.0002616081],"domain_scores_gemma":[0.99960655,0.00015362322,0.000013012286,0.0000976247,0.000030126555,0.00009905184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014165757,0.00012173612,0.00014907794,0.000024203313,0.00020194758,0.00016730546,0.00013062176,0.00010676636,0.000025568472],"category_scores_gemma":[0.000030259142,0.00010290492,0.000030697323,0.00018247175,0.00017950016,0.00011609685,0.00003384267,0.00011217881,0.00000634385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006366168,0.000019987323,0.000020122612,0.00013464653,0.00001775614,0.0000028386746,0.000072655675,0.0008318215,0.9786313,0.017567167,0.0008317832,0.0018635463],"study_design_scores_gemma":[0.00022398923,0.000025269004,0.00018316561,0.00003574372,0.000026092024,0.000008504656,0.00032417936,0.029517975,0.9671551,0.0010074398,0.0013061987,0.00018631441],"about_ca_topic_score_codex":0.0000029512498,"about_ca_topic_score_gemma":0.000010730662,"teacher_disagreement_score":0.028686153,"about_ca_system_score_codex":0.000009972263,"about_ca_system_score_gemma":0.000026817279,"threshold_uncertainty_score":0.4196341},"labels":[],"label_agreement":null},{"id":"W3133776788","doi":"10.3390/app9061230","title":"Native Nanodiscs and the Convergence of Lipidomics, Metabolomics, Interactomics and Proteomics","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lipidomics; Chemistry; Lipid bilayer; Nanodisc; Proteomics; Metabolomics; Biophysics; Biochemistry; Computational biology; Membrane; Biology; Chromatography","score_opus":0.005985124535624686,"score_gpt":0.22430140381910785,"score_spread":0.21831627928348316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133776788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938207,0.0018765039,0.00025577223,0.00024943837,0.00017804702,0.00039489905,0.000010420739,0.0000028648074,0.0032113418],"genre_scores_gemma":[0.99422944,0.0026687374,0.0027025905,0.00019889482,0.000039170507,0.000018339195,0.000002531672,0.0000053757026,0.00013489844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992104,0.000030668594,0.00018724475,0.00031787952,0.000100745856,0.00015302711],"domain_scores_gemma":[0.99954736,0.000068273446,0.00015416495,0.00015878081,0.000041947016,0.000029477807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645112,0.00011570912,0.00024196588,0.00003924292,0.00011453614,0.000030913787,0.00021810815,0.000047446414,0.0000069561656],"category_scores_gemma":[0.000083645,0.000072498246,0.000034063585,0.00011400765,0.0012271447,0.0000059589784,0.0002956093,0.00006462176,0.0000019824115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023442408,0.000017848211,0.005181188,0.000020618205,0.000086748696,5.143635e-8,0.00045750482,0.00001245593,0.8521258,0.14113994,0.00011227707,0.00061113824],"study_design_scores_gemma":[0.0027735883,0.0002663833,0.0030804095,0.000012043172,0.000059014546,0.000009897807,0.0034005032,0.0008252243,0.9704433,0.010024259,0.0087440545,0.00036133968],"about_ca_topic_score_codex":0.000017416272,"about_ca_topic_score_gemma":0.0000150298865,"teacher_disagreement_score":0.13111567,"about_ca_system_score_codex":0.000003231301,"about_ca_system_score_gemma":0.000044838536,"threshold_uncertainty_score":0.4521466},"labels":[],"label_agreement":null},{"id":"W3134524119","doi":"10.3390/app11052082","title":"An Intrusion Resistant SCADA Framework Based on Quantum and Post-Quantum Scheme","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cistel Technology (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Theoretical computer science; Quantum key distribution; Quantum network; Quantum cryptography; Quantum computer; Algorithm; Quantum information; Quantum; Physics; Quantum mechanics","score_opus":0.010367450121774218,"score_gpt":0.24953086704005262,"score_spread":0.2391634169182784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134524119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803414,0.00017416019,0.2131327,0.0043508653,0.0004936734,0.00013518611,0.00000446428,0.00025590428,0.0011116547],"genre_scores_gemma":[0.82002014,0.000005936622,0.17752202,0.002323711,0.00010644297,0.0000058544038,0.000002551943,0.000008309657,0.0000050264243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973794,0.00010528802,0.000248835,0.0010559188,0.0007186758,0.0004918373],"domain_scores_gemma":[0.9984527,0.00042069063,0.00010584823,0.0007196203,0.00008630956,0.00021478694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008388684,0.0002292087,0.00022725915,0.00016471636,0.0009564289,0.00069184654,0.0010686085,0.00010455221,0.000022095484],"category_scores_gemma":[0.000117743955,0.00018000323,0.00004732555,0.001178435,0.0003475499,0.0001995119,0.00032545417,0.00034390477,0.000017010585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032214433,0.00019751719,0.00021877138,0.000024967168,0.000006148446,0.000067084235,0.00076342246,0.006341842,0.054995164,0.91013956,0.00015010737,0.027063185],"study_design_scores_gemma":[0.00018284784,0.00040976456,0.0035789777,0.0000882197,0.0000028081502,0.000013768592,0.00024462232,0.9382097,0.0059110057,0.050609525,0.00043878486,0.00030996324],"about_ca_topic_score_codex":0.000021710042,"about_ca_topic_score_gemma":0.0000052425457,"teacher_disagreement_score":0.9318679,"about_ca_system_score_codex":0.000019199395,"about_ca_system_score_gemma":0.00027791678,"threshold_uncertainty_score":0.73561746},"labels":[],"label_agreement":null},{"id":"W3134551577","doi":"10.3390/app11052376","title":"Fractal Dimension and Retinal Pathology: A Meta-Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fractal dimension; Fractal analysis; Retinal; Meta-analysis; Diabetic retinopathy; Medicine; Fractal; Web of science; Ophthalmology; Diabetes mellitus; Optometry; Pathology; Mathematics; Endocrinology","score_opus":0.05427257949986327,"score_gpt":0.32499210578736765,"score_spread":0.2707195262875044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134551577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97676104,0.001518703,0.00050750806,0.006061932,0.000012701966,0.000042514414,0.0000017037094,0.000028434764,0.015065473],"genre_scores_gemma":[0.9896197,0.000036056306,0.008477741,0.0010687603,0.000021115658,0.000006150346,0.0000071927875,0.0000028048885,0.0007605099],"study_design_codex":"bench_or_experimental","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9989283,0.0000381378,0.00015078539,0.000413393,0.000307654,0.0001617234],"domain_scores_gemma":[0.99954724,0.00007880291,0.000058060217,0.00017370646,0.000057051897,0.000085118125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056840066,0.000089074085,0.00050742895,0.00014817543,0.00018729009,0.000053092328,0.000052464144,0.00003091017,0.00026691734],"category_scores_gemma":[0.00005715455,0.00005767623,0.00030061378,0.0011963029,0.000355753,0.000038410984,0.0000544919,0.00009701149,0.000018035118],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015287516,0.00068596756,0.13120835,0.000107289954,0.112208575,0.0027580913,0.0028486017,0.00032260586,0.7138559,0.019473633,0.0022344391,0.014143668],"study_design_scores_gemma":[0.0010192874,0.00033841826,0.0770325,0.000012543234,0.7896448,0.0011396194,0.0056754933,0.009337307,0.10672433,0.0047310013,0.0035806312,0.00076408056],"about_ca_topic_score_codex":0.0000150956785,"about_ca_topic_score_gemma":0.000006613523,"teacher_disagreement_score":0.67743623,"about_ca_system_score_codex":0.000004907025,"about_ca_system_score_gemma":0.000045781548,"threshold_uncertainty_score":0.2922558},"labels":[],"label_agreement":null},{"id":"W3135019935","doi":"10.3390/app11052362","title":"A Correlation-Based Sensing Scheme for Outlier Detection in Cognitive Radio Networks","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation","keywords":"Outlier; Cognitive radio; Computer science; Scheme (mathematics); Fusion center; Anomaly detection; Similarity (geometry); Data mining; Correlation; Spectrum (functional analysis); Artificial intelligence; Mathematics; Telecommunications; Physics","score_opus":0.020985709819048928,"score_gpt":0.25538958369570625,"score_spread":0.23440387387665731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135019935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047487773,0.00014675822,0.9481995,0.00027355627,0.00037066956,0.0002785523,9.82628e-7,0.00007968953,0.003162532],"genre_scores_gemma":[0.9586438,0.000004572648,0.040646184,0.0005214201,0.00013955968,0.000011367345,0.0000044978174,0.0000073735177,0.000021245176],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840355,0.000054326065,0.00023468125,0.0006318347,0.00025036768,0.0004252368],"domain_scores_gemma":[0.9986756,0.00088497263,0.00009763711,0.0001476276,0.0001280245,0.00006616654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725497,0.00014225938,0.000187148,0.00015255804,0.00046222127,0.00031118907,0.0001800734,0.000076062664,0.0000061472347],"category_scores_gemma":[0.00011226282,0.00014313188,0.00006455167,0.0015193961,0.00016027475,0.00020715107,0.000055778833,0.0001666897,0.0000050265157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081994585,0.00014000272,0.0023955742,0.000016822682,0.00003387756,0.00007525432,0.0010995708,0.14124842,0.007706031,0.023019994,0.000117267555,0.8240652],"study_design_scores_gemma":[0.0006275908,0.000038777638,0.00118875,0.000050886065,0.000006258094,0.000014923797,0.00024702653,0.98868954,0.006691561,0.0021256877,0.00011597254,0.0002030447],"about_ca_topic_score_codex":0.000012061247,"about_ca_topic_score_gemma":0.00025853154,"teacher_disagreement_score":0.911156,"about_ca_system_score_codex":0.000065007516,"about_ca_system_score_gemma":0.00020074885,"threshold_uncertainty_score":0.58367485},"labels":[],"label_agreement":null},{"id":"W3135200607","doi":"10.3390/app11052387","title":"Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Long short term memory; Wind speed; Recurrent neural network; Artificial neural network; Computer science; Term (time); Meteorology; Wind power forecasting; Wind power; Electric power system; Artificial intelligence; Power (physics); Engineering; Geography","score_opus":0.020117368481807056,"score_gpt":0.24265453329141928,"score_spread":0.22253716480961222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135200607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565481,0.00028163672,0.023282262,0.000031938333,0.0006735301,0.00014254422,0.0000030483293,0.00009621898,0.018940708],"genre_scores_gemma":[0.9989499,0.000011569235,0.0007670388,0.000039183044,0.00017266697,0.0000058304126,0.000013033432,0.000011843298,0.000028950762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990341,0.000008264401,0.00022234835,0.00025266857,0.0002078364,0.0002747508],"domain_scores_gemma":[0.9996246,0.00004880645,0.00002899297,0.00017755888,0.0000298136,0.00009021294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018886727,0.00012088966,0.00015271698,0.000064342785,0.000097662705,0.000043100088,0.00022701545,0.00004728412,0.000021578897],"category_scores_gemma":[0.0000072315343,0.00011532067,0.00004034138,0.00063498016,0.000086642845,0.0000742179,0.000060801012,0.000098260636,0.000007324053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003067992,0.000013563771,0.002556746,0.00002180795,0.000007367615,0.0000027845103,0.00020497214,0.8329932,0.015291454,0.0006113771,0.00012466706,0.14816897],"study_design_scores_gemma":[0.00014868882,0.00005119018,0.008022411,0.00004899186,0.000016710821,0.000019264397,0.00021569389,0.9262953,0.06427087,0.000103277955,0.0004576114,0.0003500381],"about_ca_topic_score_codex":0.0000038751837,"about_ca_topic_score_gemma":0.00003883862,"teacher_disagreement_score":0.14781892,"about_ca_system_score_codex":0.000017951872,"about_ca_system_score_gemma":0.000015800168,"threshold_uncertainty_score":0.47026402},"labels":[],"label_agreement":null},{"id":"W3135256744","doi":"10.3390/app11062462","title":"Prediction of Mean Responses of RC Bridges Considering the Incident Angle of Ground Motions and Displacement Directions","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Displacement (psychology); Ground motion; Structural engineering; Geodesy; Geology; Engineering","score_opus":0.02720396144792977,"score_gpt":0.23725777721823646,"score_spread":0.21005381577030668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135256744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997228,0.00039918875,0.0012199549,0.000049410228,0.00004742625,0.000036784728,0.000014594476,0.000013099813,0.0009915296],"genre_scores_gemma":[0.9993847,0.00034957347,0.00021296635,0.0000070953674,0.000010541126,0.000006869681,0.0000015679034,0.000001906766,0.00002476318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954724,0.000010454698,0.00016055511,0.00007557847,0.00014205535,0.00006408851],"domain_scores_gemma":[0.999748,0.00007606918,0.00004205082,0.000087463464,0.000033446486,0.000012952322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023248546,0.00004017979,0.00009320638,0.000066170825,0.00009920818,0.000010151966,0.000054038992,0.000012154879,0.000011733697],"category_scores_gemma":[0.000019287532,0.000030047328,0.000020757247,0.00040079455,0.000231168,0.000065319364,0.000026124977,0.000027224112,2.3953868e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093091485,0.00008068994,0.041176815,0.0001533567,0.000164442,7.123829e-7,0.005586506,0.0990083,0.84222597,0.0054805167,0.00018801114,0.0059253974],"study_design_scores_gemma":[0.00022446162,0.00005699635,0.24132504,0.000082371174,0.00012586579,0.000011120016,0.016844414,0.06849486,0.6718416,0.00049431855,0.00039289752,0.00010604096],"about_ca_topic_score_codex":0.000091234484,"about_ca_topic_score_gemma":0.00008071203,"teacher_disagreement_score":0.20014822,"about_ca_system_score_codex":0.000009284565,"about_ca_system_score_gemma":0.000024468847,"threshold_uncertainty_score":0.12252945},"labels":[],"label_agreement":null},{"id":"W3135387597","doi":"10.3390/app11052298","title":"Evaluation of the Anthropogenic Metal Pollution at Osisko Lake: Sediments Characterization for Reclamation Purposes","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pollution; Sediment; Environmental chemistry; Pyrite; Weathering; Environmental science; Organic matter; Leaching (pedology); Acid mine drainage; Total organic carbon; Geology; Mineralogy; Geochemistry; Chemistry; Soil science; Ecology; Geomorphology; Soil water","score_opus":0.04492223556002452,"score_gpt":0.2920844912145481,"score_spread":0.2471622556545236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135387597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942277,0.000032371685,0.0014025489,0.00053533853,0.00032211034,0.00075380085,0.000026263246,0.00001123203,0.0026886098],"genre_scores_gemma":[0.9981795,0.000019198058,0.0012677906,0.00013446562,0.000027891841,0.00013779764,0.0000357724,0.0000061742985,0.00019139568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99763215,0.00018250654,0.0002604177,0.00034857512,0.0013902714,0.00018610712],"domain_scores_gemma":[0.9994493,0.000040198047,0.00021680303,0.00023825234,0.000023090855,0.00003232539],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025833114,0.00009591889,0.000110117544,0.000021429398,0.00046537846,0.000020747511,0.00022401914,0.000049197697,0.0016068352],"category_scores_gemma":[0.00013893815,0.00007109072,0.0000612118,0.00044365824,0.0005500066,0.00021285308,0.00019924501,0.000034094966,0.000064272215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047435246,0.00006582824,0.0032340724,0.0000040234236,0.000010791691,2.8069842e-8,0.00018509994,0.0040703914,0.97261816,0.00028007478,0.000052042848,0.019474767],"study_design_scores_gemma":[0.00030079935,0.00002941995,0.21174228,0.0000070731867,0.0001168851,0.0000021030412,0.00011713272,0.005651789,0.7776421,0.0011127205,0.0031719173,0.00010580626],"about_ca_topic_score_codex":0.000006403186,"about_ca_topic_score_gemma":0.000107889864,"teacher_disagreement_score":0.20850821,"about_ca_system_score_codex":0.00027203307,"about_ca_system_score_gemma":0.00005516619,"threshold_uncertainty_score":0.99930584},"labels":[],"label_agreement":null},{"id":"W3136008832","doi":"10.3390/app11062813","title":"Ontology-Based Semantic Conceptualisation of Historical Built Heritage to Generate Parametric Structured Models from Point Clouds","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Ontology; CityGML; Point cloud; Schema (genetic algorithms); Building information modeling; Information retrieval; Geospatial analysis; Architecture; Information model; Cultural heritage; Markup language; Data science; World Wide Web; Geography; Software engineering; Data mining; Visualization; XML; Artificial intelligence; Cartography; Archaeology; Engineering","score_opus":0.06283234470317045,"score_gpt":0.24359735456470324,"score_spread":0.1807650098615328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136008832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926107,0.00079472444,0.002571389,0.0003467559,0.0004493804,0.0001308103,0.00007332683,0.00004337664,0.002979531],"genre_scores_gemma":[0.9854288,0.0000071298855,0.013771594,0.00054304866,0.00006465141,0.0000026832954,0.00009783463,0.0000026593914,0.00008157952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99828696,0.00014002547,0.00031332218,0.00049265847,0.00046058252,0.00030644063],"domain_scores_gemma":[0.99919224,0.00026247825,0.00011048423,0.00021058321,0.00007521115,0.00014900614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043094868,0.00015118984,0.000298955,0.00007834573,0.00023407562,0.00007266191,0.00032644285,0.000089950045,0.0006811941],"category_scores_gemma":[0.00007777495,0.00011691651,0.000061289305,0.0010797213,0.00019390433,0.00013438908,0.000016846918,0.000103687125,0.000038851827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024407121,0.00016306508,0.2530557,0.000075007614,0.00008437961,0.000079825746,0.00635437,0.6042246,0.07704004,0.0068122633,0.0032968824,0.048569754],"study_design_scores_gemma":[0.0021711285,0.00094086555,0.54830265,0.000089224624,0.0001262521,0.000021835674,0.008159771,0.28451955,0.09959639,0.05171737,0.0023427831,0.002012217],"about_ca_topic_score_codex":0.0038872284,"about_ca_topic_score_gemma":0.005468078,"teacher_disagreement_score":0.3197051,"about_ca_system_score_codex":0.00002269169,"about_ca_system_score_gemma":0.00017218954,"threshold_uncertainty_score":0.7458598},"labels":[],"label_agreement":null},{"id":"W3136347611","doi":"10.3390/app11062507","title":"Ohmic Heating in the Food Industry: Developments in Concepts and Applications during 2013–2020","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Joule heating; Pasteurization; Food science; Ohmic contact; Electric heating; Roasting; Sterilization (economics); Food products; Materials science; Food industry; Nanotechnology; Chemistry; Metallurgy; Business; Composite material","score_opus":0.026356287373348674,"score_gpt":0.3245113931138349,"score_spread":0.29815510574048626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136347611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962266,0.00014836044,0.00031457818,0.0002483249,0.00001407657,0.00017186975,0.0000011846324,0.0000024689064,0.0028725194],"genre_scores_gemma":[0.99455076,0.000029711124,0.0049464023,0.00030745714,0.000037165002,0.00008558308,0.00000645775,0.0000027010062,0.00003376992],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936676,0.00005762471,0.00012311076,0.00024948316,0.00007325265,0.00012976036],"domain_scores_gemma":[0.99981076,0.0000269812,0.000036884154,0.000094558505,0.000013368202,0.00001746902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040812974,0.00005644901,0.000058411715,0.000026321213,0.00012167379,0.000036505506,0.00014528903,0.00007630031,0.0000055610453],"category_scores_gemma":[0.00003603732,0.000047154714,0.00000678301,0.00039558843,0.00011679583,0.000004126652,0.000083288825,0.00011382831,0.0000011292968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002236664,0.000016223712,0.010436278,0.0000056873178,0.0000021282272,5.2208964e-7,0.00028517802,0.00007645544,0.98634773,0.0010398184,0.00003313978,0.0017545877],"study_design_scores_gemma":[0.00041788555,0.000023893923,0.06973404,0.000014743743,0.0000017879959,0.00001863116,0.0040886346,0.0000136578365,0.9191886,0.0006187976,0.005718215,0.00016110021],"about_ca_topic_score_codex":0.000015532096,"about_ca_topic_score_gemma":0.00016223566,"teacher_disagreement_score":0.06715913,"about_ca_system_score_codex":0.000009453143,"about_ca_system_score_gemma":0.00009275064,"threshold_uncertainty_score":0.19229135},"labels":[],"label_agreement":null},{"id":"W3136378865","doi":"10.3390/app11062781","title":"Effects of Accelerated Carbonation Testing and by-Product Allocation on the CO2-Sequestration-to-Emission Ratios of Fly Ash-Based Binder Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vlaamse regering; Universiteit Gent; Fonds Wetenschappelijk Onderzoek","keywords":"Carbonation; Fly ash; Environmental science; Carbon sequestration; Waste management; Portland cement; Pulp and paper industry; Cementitious; Cement; Carbon dioxide; Materials science; Chemistry; Metallurgy; Engineering; Composite material","score_opus":0.036191828675107014,"score_gpt":0.2614130240198616,"score_spread":0.2252211953447546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136378865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741113,0.00010401814,0.00052512303,0.00010783973,0.0000656874,0.00036385798,0.00000203943,0.000022045895,0.0013982543],"genre_scores_gemma":[0.99973214,0.00000597047,0.00014493574,0.00002322264,0.00001897954,0.000050276085,0.0000067618466,0.0000042419265,0.000013500976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992834,0.000041226835,0.00015560175,0.00014006451,0.00028753272,0.00009217939],"domain_scores_gemma":[0.9994213,0.00033277058,0.00003990804,0.00008485767,0.00009688867,0.000024297182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004348572,0.000060606606,0.00008726637,0.000049390925,0.00008246022,0.00006900774,0.00008458854,0.000021265312,0.000004948425],"category_scores_gemma":[0.00015275046,0.000043680375,0.0000058819983,0.00044340803,0.000051116913,0.000045978064,0.000013377926,0.00003410604,0.0000010698276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029523708,0.000005865334,0.00013036668,0.00012583792,0.0000040759114,1.5273484e-7,0.00005496021,0.00901009,0.9895139,0.00043608624,0.00013018584,0.0005855442],"study_design_scores_gemma":[0.00009310223,0.00003602375,0.00061126176,0.00005587018,0.0000038772655,1.3407866e-7,0.00007630262,0.03953697,0.95950425,0.000021916658,0.000014662254,0.00004564825],"about_ca_topic_score_codex":0.000027246833,"about_ca_topic_score_gemma":0.000001493757,"teacher_disagreement_score":0.030526884,"about_ca_system_score_codex":0.00001462583,"about_ca_system_score_gemma":0.00007383042,"threshold_uncertainty_score":0.1781234},"labels":[],"label_agreement":null},{"id":"W3136622600","doi":"10.3390/app11062766","title":"A Novel, Minimally Invasive Method to Retrieve Failed Dental Implants in Elderly Patients","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Implant; Dentistry; Dental implant; Surgery","score_opus":0.031068318309415418,"score_gpt":0.32793521868364867,"score_spread":0.29686690037423324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136622600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98753834,0.00001678484,0.0012722962,0.000056169178,0.0004295425,0.00037159055,0.00009126535,0.0000734292,0.010150576],"genre_scores_gemma":[0.9560353,0.0000026921205,0.042586975,0.0008693476,0.000028734128,0.000043958546,0.000031025582,0.000011727634,0.000390239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978901,0.00004203187,0.0003821908,0.00062778854,0.0005947833,0.00046307035],"domain_scores_gemma":[0.9992153,0.00027066038,0.00010458783,0.00021069973,0.000057202724,0.0001415527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004594853,0.00018793205,0.0003018946,0.00018659607,0.00015051007,0.00022595309,0.0005299948,0.00010121768,0.00019491509],"category_scores_gemma":[0.00012786592,0.00016836145,0.00006598977,0.0010799146,0.000082026956,0.00019505751,0.0003430044,0.00014458016,0.00035146446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017606368,0.0005676868,0.44849616,0.000046728343,0.000038643586,0.0011020448,0.0011056185,0.000013003967,0.51413494,0.004505676,0.006091755,0.02372164],"study_design_scores_gemma":[0.0014814928,0.00028042743,0.4893583,0.000077917844,0.000017714177,0.0004921492,0.0029121602,0.000016680802,0.5027049,0.000916177,0.0011929707,0.00054912455],"about_ca_topic_score_codex":0.00018279326,"about_ca_topic_score_gemma":0.0031052595,"teacher_disagreement_score":0.04131468,"about_ca_system_score_codex":0.00007898861,"about_ca_system_score_gemma":0.0001311264,"threshold_uncertainty_score":0.6865581},"labels":[],"label_agreement":null},{"id":"W3136645076","doi":"10.3390/app11062726","title":"Optimization of Inventory Management to Prevent Drug Shortages in the Hospital Supply Chain","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Supply chain; Economic shortage; Inventory management; Inventory control; Inventory theory; Business; Operations management; Supply chain management; Profit (economics); Risk analysis (engineering); Computer science; Operations research; Economics; Engineering; Marketing; Microeconomics","score_opus":0.013575214756634424,"score_gpt":0.22238481924023307,"score_spread":0.20880960448359864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136645076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69602716,0.00023071813,0.0012743818,0.01010442,0.00079964934,0.0017802457,0.0000021644087,0.00007685447,0.2897044],"genre_scores_gemma":[0.99457145,0.000026271267,0.0011364282,0.0034385002,0.00016861784,0.0001565822,0.000015548518,0.0000090121175,0.00047758763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841523,0.000021679336,0.0003003364,0.00038938317,0.0005884829,0.00028489626],"domain_scores_gemma":[0.99953014,0.00002616716,0.00011594378,0.00027448928,0.000041051917,0.0000122286965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012310769,0.00014011867,0.00015043994,0.0003043248,0.00016528342,0.000216417,0.00064369454,0.000021447493,0.0002569269],"category_scores_gemma":[0.000019345749,0.00010861325,0.000052779375,0.0014804513,0.00012530394,0.00033077877,0.00033715757,0.00006313758,0.000045008608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002112719,0.0013798496,0.029873146,0.00046709634,0.00006017659,0.000061108934,0.0036228725,0.115216345,0.00026718352,0.79891086,0.041047666,0.009072571],"study_design_scores_gemma":[0.0040170476,0.00024682228,0.11541241,0.0009917261,0.00044386473,0.000003881482,0.28898957,0.101659596,0.007697345,0.05008328,0.42674172,0.0037127566],"about_ca_topic_score_codex":0.0000754461,"about_ca_topic_score_gemma":0.000108917804,"teacher_disagreement_score":0.7488276,"about_ca_system_score_codex":0.000027139971,"about_ca_system_score_gemma":0.000017786115,"threshold_uncertainty_score":0.44291198},"labels":[],"label_agreement":null},{"id":"W3138245810","doi":"10.3390/app11062842","title":"Infrared Radiation Favorably Influences the Quality Characteristics of Key Lime Juice","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Titratable acid; Pasteurization; Food science; Lime; Pectin; Control sample; Brix; Hydroxymethylfurfural; Ascorbic acid; Biochemistry; Materials science; Sugar","score_opus":0.03386336647477685,"score_gpt":0.3391558148627331,"score_spread":0.3052924483879563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138245810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870793,0.00012776912,0.0023953235,0.00026546675,0.00010701257,0.00008584572,0.000013154843,0.0000056663366,0.009920425],"genre_scores_gemma":[0.9941705,0.00006431629,0.0046701115,0.00060248066,0.00008418753,0.000008215221,0.000026948974,0.000003354862,0.00036988978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991108,0.00014273425,0.00024069,0.00022504554,0.00016361955,0.00011711725],"domain_scores_gemma":[0.99935085,0.000085529326,0.00020592421,0.0002228764,0.00011057424,0.000024255476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009955408,0.000069706206,0.00010573706,0.000019677838,0.00015931443,0.000044689514,0.00025198888,0.00006279374,0.000029611901],"category_scores_gemma":[0.00041047754,0.00005202309,0.000032688673,0.00030207974,0.00032746737,0.0000064827695,0.00008159952,0.000052382435,0.0000041944054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009761357,0.000016495964,0.0017025908,0.000007485712,0.000008220319,9.217175e-8,0.00015134248,0.000023562001,0.98895955,0.004655633,0.00024143691,0.0042238133],"study_design_scores_gemma":[0.00008838542,0.000028403752,0.037522513,0.000003222582,0.0000055902624,0.0000013229295,0.00037956037,0.000010235052,0.94721746,0.00081284635,0.013849891,0.000080570186],"about_ca_topic_score_codex":0.000013172258,"about_ca_topic_score_gemma":0.0000068336185,"teacher_disagreement_score":0.04174211,"about_ca_system_score_codex":0.0000056202257,"about_ca_system_score_gemma":0.0001823558,"threshold_uncertainty_score":0.212144},"labels":[],"label_agreement":null},{"id":"W3138391560","doi":"10.3390/app11093804","title":"Numerical Simulation and Experimental Study of Capacitive Imaging Technique as a Nondestructive Testing Method","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick; Université Laval","funders":"","keywords":"Capacitive sensing; Materials science; Finite element method; Sample (material); Dielectric; Acoustics; Electronic engineering; Computer science; Optoelectronics; Electrical engineering; Engineering; Structural engineering","score_opus":0.020297608127947838,"score_gpt":0.30845318150870843,"score_spread":0.2881555733807606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138391560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683244,0.00013762605,0.024472585,0.000004615628,0.000018622683,0.00020179227,6.4010305e-7,0.00007549779,0.0067642136],"genre_scores_gemma":[0.96556467,4.5488855e-7,0.034368522,0.000011591113,0.0000127191,0.00003645521,2.2231261e-7,0.0000043963746,9.950949e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993781,0.00002271965,0.00011623088,0.00019589814,0.00015717025,0.00012990004],"domain_scores_gemma":[0.9996512,0.00021150302,0.000026173188,0.000048461487,0.000031438627,0.00003123557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491097,0.000078027966,0.00011541514,0.00006859347,0.000096654134,0.00002355519,0.000059145532,0.000017296255,0.000005626479],"category_scores_gemma":[0.000026656346,0.000066988185,0.000013539406,0.00091907656,0.000099932084,0.00007694005,0.000022689552,0.00007417111,4.98716e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006691944,0.00015230592,0.005815387,0.000012110526,0.000016609985,0.0000079641195,0.0023365254,0.038037293,0.93735045,0.000803597,0.000001570266,0.0154594965],"study_design_scores_gemma":[0.0001932625,0.00021235213,0.0023988388,0.000010840012,0.000009299884,0.000019020705,0.0068556736,0.14194877,0.84595263,0.0022503785,0.0000024971791,0.00014642467],"about_ca_topic_score_codex":0.000035782763,"about_ca_topic_score_gemma":9.974899e-7,"teacher_disagreement_score":0.10391148,"about_ca_system_score_codex":0.000012290936,"about_ca_system_score_gemma":0.0000147889405,"threshold_uncertainty_score":0.2731699},"labels":[],"label_agreement":null},{"id":"W3138476267","doi":"10.3390/app11062884","title":"COVID-19 Diagnosis in Chest X-rays Using Deep Learning and Majority Voting","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Prince Sultan University","keywords":"Majority rule; Artificial intelligence; Random forest; Computer science; Machine learning; Coronavirus disease 2019 (COVID-19); Ensemble learning; Voting; Support vector machine; Inference; Infectious disease (medical specialty); Disease; Medicine; Political science","score_opus":0.06092002735339969,"score_gpt":0.35696142061372416,"score_spread":0.29604139326032447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138476267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853166,0.00092337595,0.0007959216,0.011774898,0.000093795796,0.00022975597,8.618285e-7,0.00008810276,0.00077672646],"genre_scores_gemma":[0.9819165,0.00014852795,0.007895172,0.009878434,0.00009055601,0.000036666344,0.0000028268437,0.0000122299325,0.000019111716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982,0.00007294043,0.00026467186,0.0006491134,0.00041166143,0.00040161973],"domain_scores_gemma":[0.9982514,0.0011687796,0.000096571704,0.00013125701,0.000041017676,0.0003109764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012581622,0.00015263322,0.00030477726,0.00020914416,0.00050939963,0.00012643717,0.00011526631,0.0000846868,0.00013498955],"category_scores_gemma":[0.0026922978,0.00014910944,0.00003792849,0.0012548632,0.0004275857,0.000107579704,0.00018240452,0.0002938291,0.000008579767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012277093,0.0001431753,0.9726973,0.00023772384,0.00001056968,0.00015088468,0.0016509567,0.002790559,0.012186045,0.0014055951,0.00010000124,0.008614917],"study_design_scores_gemma":[0.008975433,0.0005307906,0.64767,0.0013685328,0.00049125473,0.00053686777,0.023761636,0.121027544,0.06333358,0.0033592198,0.12658587,0.0023593158],"about_ca_topic_score_codex":0.0005456446,"about_ca_topic_score_gemma":0.0005573163,"teacher_disagreement_score":0.32502732,"about_ca_system_score_codex":0.00026679406,"about_ca_system_score_gemma":0.00073184643,"threshold_uncertainty_score":0.60805064},"labels":[],"label_agreement":null},{"id":"W3139216976","doi":"10.3390/app11072891","title":"Fracture Behaviour of Concrete with Reactive Magnesium Oxide as Alternative Binder","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Magnesium Oxide Properties and Applications","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Materials science; Cement; Composite material; Properties of concrete; Fracture toughness; Softening; Compressive strength; Magnesium; Stress intensity factor; Shrinkage; Fracture (geology); Fracture mechanics; Metallurgy","score_opus":0.016202288868563588,"score_gpt":0.250259365646983,"score_spread":0.2340570767784194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139216976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687883,0.00008840613,0.00071319984,0.0009072454,0.000046186135,0.00021815037,0.000016175616,0.000038210612,0.029184094],"genre_scores_gemma":[0.99216783,0.0000047177928,0.006445,0.00058013026,0.000037700403,0.000086719294,0.0000042077127,0.000009730481,0.0006639787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984609,0.00003442734,0.0002201768,0.00051389943,0.0004958392,0.00027479726],"domain_scores_gemma":[0.99914825,0.000090381836,0.00020117791,0.00029064598,0.00018659617,0.00008295247],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002978086,0.00015013601,0.00021200799,0.00004666571,0.00025789553,0.000099752666,0.00041106678,0.00005237349,0.0010641745],"category_scores_gemma":[0.0000245791,0.000102014215,0.000032896874,0.00042236713,0.00071834686,0.00018517222,0.00010934058,0.000097304546,0.000110824294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028560198,0.000019018153,0.00044195217,0.000012222068,0.0000030606816,0.000006542051,0.00054984726,0.00013577122,0.9835267,0.0150903715,0.000092163835,0.00009376705],"study_design_scores_gemma":[0.00021366932,0.00008903219,0.0015821609,0.000008939409,0.000025786925,0.000020319902,0.0033533033,0.000038314152,0.9921403,0.0016223296,0.0007370794,0.00016876141],"about_ca_topic_score_codex":0.00055406714,"about_ca_topic_score_gemma":0.000035228568,"teacher_disagreement_score":0.028520115,"about_ca_system_score_codex":0.000019722587,"about_ca_system_score_gemma":0.0002677455,"threshold_uncertainty_score":0.99984896},"labels":[],"label_agreement":null},{"id":"W3141827546","doi":"10.3390/app11072932","title":"Bone Marrow Aspirate Concentrate Is More Effective Than Hyaluronic Acid and Autologous Conditioned Serum in the Treatment of Knee Osteoarthritis: A Retrospective Study of 505 Consecutive Patients","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Osteoarthritis; WOMAC; Visual analogue scale; Hyaluronic acid; Retrospective cohort study; Surgery; Radiography; Bone marrow aspirate; Bone marrow; Internal medicine; Pathology","score_opus":0.010896027748878122,"score_gpt":0.2553405920039822,"score_spread":0.24444456425510405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141827546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949509,0.0011314574,8.7805535e-7,0.00010595464,0.00007253567,0.0027132751,0.000113119975,0.000014556157,0.00089730654],"genre_scores_gemma":[0.9993672,0.000045271736,0.000056083834,0.00011589552,0.00001180607,0.0003454577,0.000022302916,0.000007973324,0.000028039161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983807,0.00013803234,0.0003141803,0.00047451523,0.00041269397,0.00027985018],"domain_scores_gemma":[0.9992812,0.00011069046,0.00020344587,0.00021162568,0.00013297019,0.000060031667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019679028,0.00020577353,0.0005497725,0.000095969335,0.00015806334,0.000022594266,0.0000668349,0.00006506298,0.000027690017],"category_scores_gemma":[0.000023818562,0.00014091058,0.00005956975,0.0004945177,0.0006251258,0.00007199107,0.000029005125,0.000081054255,0.000002884025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012075872,0.00808664,0.7954459,0.00007225373,0.00031747398,0.00053636526,0.08880257,0.000003680917,0.051629055,0.004628182,0.000017110498,0.04925315],"study_design_scores_gemma":[0.026049264,0.067507416,0.6695825,0.00015202309,0.00032021911,0.00005404059,0.057708375,0.000015431078,0.17722815,0.0011527998,0.000011970554,0.00021780476],"about_ca_topic_score_codex":0.000048497957,"about_ca_topic_score_gemma":0.0002648957,"teacher_disagreement_score":0.12586343,"about_ca_system_score_codex":0.00008575225,"about_ca_system_score_gemma":0.00014398043,"threshold_uncertainty_score":0.5746167},"labels":[],"label_agreement":null},{"id":"W3142002010","doi":"10.3390/app11073248","title":"SPAER: Sparse Deep Convolutional Autoencoder Model to Extract Low Dimensional Imaging Biomarkers for Early Detection of Breast Cancer Using Dynamic Thermography","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Autoencoder; Breast cancer; Artificial intelligence; Mammography; Matrix decomposition; Pattern recognition (psychology); Breast cancer screening; Non-negative matrix factorization; Deep learning; Medicine; Computer science; Cancer; Internal medicine; Physics","score_opus":0.01818192539363382,"score_gpt":0.2917501883199882,"score_spread":0.2735682629263544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142002010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87357926,0.0004445305,0.12428845,0.00048465052,0.00026776182,0.0005028565,0.00007376107,0.000043270993,0.00031544454],"genre_scores_gemma":[0.96547055,0.00000868948,0.03377888,0.00055468525,0.000073293275,0.00007034179,0.000010431344,0.000020221854,0.000012879899],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806464,0.000021758187,0.00034081982,0.00050175225,0.0006607393,0.00041028322],"domain_scores_gemma":[0.9990712,0.000106865846,0.00015077303,0.00018893807,0.00032033256,0.00016190064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051009655,0.00019089294,0.0002973872,0.00042852346,0.00028491914,0.000022397517,0.0001367646,0.000065434615,0.00008180355],"category_scores_gemma":[0.000026935852,0.00016264261,0.00016087641,0.0012354151,0.00065980054,0.00012044765,0.000044155087,0.00012257401,0.0000015413267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031493334,0.000106482235,0.008085551,0.000055160417,0.00011143133,0.000006068249,0.00026587563,0.016915198,0.96276444,0.00027435945,0.000021396228,0.0110790925],"study_design_scores_gemma":[0.0011826982,0.00006891201,0.092818156,0.00022351685,0.00017562619,0.00011652379,0.000459469,0.87518525,0.028135296,0.0013872862,0.000008191331,0.00023908296],"about_ca_topic_score_codex":0.00009451007,"about_ca_topic_score_gemma":0.00003621685,"teacher_disagreement_score":0.93462914,"about_ca_system_score_codex":0.000090999645,"about_ca_system_score_gemma":0.00043528553,"threshold_uncertainty_score":0.66323733},"labels":[],"label_agreement":null},{"id":"W3143003892","doi":"10.3390/app11073068","title":"New Approach in Human-AI Interaction by Reinforcement-Imitation Learning","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reinforcement learning; Leverage (statistics); Computer science; Imitation; Action (physics); Artificial intelligence; Process (computing); Asynchronous communication; Psychology; Social psychology","score_opus":0.032627967572635294,"score_gpt":0.2980415984961594,"score_spread":0.2654136309235241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143003892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031367703,0.000021344837,0.8681174,0.00034935345,0.00015451084,0.0001095382,3.585717e-8,0.00009375992,0.12801729],"genre_scores_gemma":[0.9436489,0.000009146657,0.050746333,0.00043160134,0.00003793322,0.000015136244,0.000017720513,0.0000059053637,0.005087352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821955,0.00006132944,0.00031659432,0.00052287895,0.00054517284,0.00033445077],"domain_scores_gemma":[0.9993831,0.00009720734,0.0001531083,0.00025063992,0.00004296048,0.00007296333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065814273,0.0001284392,0.00013630642,0.00016726159,0.0003442016,0.0005679623,0.0006796431,0.000055684483,0.00007587433],"category_scores_gemma":[0.000058901645,0.0001302049,0.00003125461,0.001178146,0.000069343965,0.0008858094,0.0002343036,0.00031173407,0.000079882055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013821701,0.000013409169,0.00054918375,0.000006830862,0.000003975551,0.0000014804502,0.0010859697,0.8786363,0.010457657,0.101531096,0.0026622072,0.005050478],"study_design_scores_gemma":[0.0005737732,0.00009423082,0.00043787883,0.000027487107,0.0000048894203,0.000008753385,0.0016942053,0.96790147,0.015356002,0.001792942,0.011748085,0.00036031412],"about_ca_topic_score_codex":0.000045417557,"about_ca_topic_score_gemma":0.000004760884,"teacher_disagreement_score":0.9405121,"about_ca_system_score_codex":0.00008321628,"about_ca_system_score_gemma":0.00015928394,"threshold_uncertainty_score":0.54768735},"labels":[],"label_agreement":null},{"id":"W3143380555","doi":"10.3390/app11072979","title":"Willows Used for Phytoremediation Increased Organic Contaminant Concentrations in Soil Surface","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Willow; Phytoremediation; Environmental science; Environmental chemistry; Pollutant; Soil water; Agronomy; Soil contamination; Chemistry; Botany; Soil science; Biology","score_opus":0.020095356190497966,"score_gpt":0.22212664003736132,"score_spread":0.20203128384686336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143380555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950965,0.000066784414,0.00010463175,0.0031486722,0.00021079947,0.0002459987,0.0000063358557,0.00003607281,0.0010841818],"genre_scores_gemma":[0.99869126,0.000033432443,0.00037635732,0.0004602027,0.00010680603,0.000033473163,0.0000559826,5.0570634e-7,0.00024200835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990864,0.000029807268,0.00015975609,0.00033670457,0.00017510973,0.000212231],"domain_scores_gemma":[0.99970347,0.000100404686,0.000060632516,0.000041485862,0.000049139253,0.00004487746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038667984,0.00007669061,0.00010372874,0.000008397139,0.00026697814,0.0000803104,0.0001385372,0.000038546463,0.00017949588],"category_scores_gemma":[0.000041804655,0.000034111425,0.000028826795,0.00060789636,0.00011460711,0.000095788935,0.00003276912,0.000036681868,0.000010807244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050573603,0.000067091234,0.0037813736,0.0000024497303,0.0000029538103,6.227244e-7,0.00008555488,0.000103060396,0.9812627,0.010621527,0.0004401221,0.0036274828],"study_design_scores_gemma":[0.00081536605,0.00015248258,0.07954869,0.000013513238,0.000016087659,0.0000021204055,0.0048386543,0.0013622993,0.8376923,0.0020283721,0.07315541,0.00037468542],"about_ca_topic_score_codex":0.00011983012,"about_ca_topic_score_gemma":0.0073165637,"teacher_disagreement_score":0.14357038,"about_ca_system_score_codex":0.00002744586,"about_ca_system_score_gemma":0.00004055826,"threshold_uncertainty_score":0.40828142},"labels":[],"label_agreement":null},{"id":"W3143760819","doi":"10.3390/app11073166","title":"A Review on the Erosion Mechanism in Cavitating Jets and Their Industrial Applications","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Cavitation; Nozzle; Mechanism (biology); Jet (fluid); Erosion; Mechanics; Cavitation erosion; Mechanical engineering; Engineering; Geology; Physics","score_opus":0.11612456647104916,"score_gpt":0.31626822552044365,"score_spread":0.2001436590493945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143760819","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008973815,0.99522704,0.00011347874,0.00006879852,0.00011393931,0.0015958769,0.00001825119,0.000056238772,0.0027973996],"genre_scores_gemma":[0.00019531944,0.9972988,0.00021232662,0.00020690793,0.00008321465,0.0019525767,0.00002033485,0.000023229877,0.000007314718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986936,0.00008124224,0.00044180435,0.00037437398,0.0001886772,0.00022030693],"domain_scores_gemma":[0.99863005,0.00091479224,0.00012456006,0.00027205673,0.000013720493,0.00004480191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011460319,0.00026558404,0.00067616405,0.0001351402,0.00018567943,0.00010102156,0.00038730566,0.00011906829,0.000023586803],"category_scores_gemma":[0.000068922345,0.000160705,0.00007667996,0.0012518486,0.00010942307,0.000044016128,0.0000858686,0.00042903452,0.000028462968],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.6048416e-8,0.000007884257,8.726463e-8,0.0033492341,0.000009963124,2.8117202e-7,0.00012948996,0.000029986615,0.000017424436,0.044645082,0.0005248221,0.95128566],"study_design_scores_gemma":[0.00006737342,0.000012856609,2.4639135e-7,0.025187816,0.000056223544,0.0000062832223,0.0002987955,0.00007029166,0.00001572837,0.00329727,0.9706677,0.0003194206],"about_ca_topic_score_codex":0.0000030932706,"about_ca_topic_score_gemma":0.0000071993027,"teacher_disagreement_score":0.9701429,"about_ca_system_score_codex":0.00007853978,"about_ca_system_score_gemma":0.00009595736,"threshold_uncertainty_score":0.65533596},"labels":[],"label_agreement":null},{"id":"W3143924650","doi":"10.3390/app11073048","title":"Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Natural Science Foundation of China","keywords":"Quantile; Wind power; Outlier; Quantile regression; Turbine; Probabilistic logic; SCADA; Logistic regression; Logistic distribution; Wind power forecasting; Computer science; Statistics; Power (physics); Econometrics; Engineering; Mathematics; Electric power system","score_opus":0.03502635051081653,"score_gpt":0.23603279906099042,"score_spread":0.20100644855017388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143924650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42956823,0.000243047,0.3299616,0.000105437975,0.00062473497,0.00009090984,0.000009370345,0.0003394679,0.2390572],"genre_scores_gemma":[0.9939416,0.000004061188,0.0057361275,0.00007315438,0.00004619135,0.0000056562576,0.000010742869,0.000013112116,0.0001693768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999136,0.0000094479965,0.00011327056,0.00025134475,0.00025290402,0.00023704968],"domain_scores_gemma":[0.9996203,0.0001156363,0.000023980554,0.00015762281,0.000024444427,0.000057975652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015302637,0.00012705915,0.00011194115,0.00007120995,0.00024800934,0.00006915527,0.000108767534,0.00004192186,0.000119924574],"category_scores_gemma":[0.00000763396,0.00008978468,0.00002395102,0.0005053401,0.00010752814,0.00006686607,0.000013638356,0.00013044153,0.000029067181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067176697,0.000015056318,0.0001528087,0.000007992513,0.0000037543764,0.000007618217,0.0000665118,0.99358207,0.0018024839,0.003851764,0.00018262067,0.0003206203],"study_design_scores_gemma":[0.00021141347,0.00007699408,0.000094494026,0.0001285872,0.000009556084,0.000005491472,0.00026202254,0.98501027,0.009973316,0.00024284706,0.0037633504,0.0002216516],"about_ca_topic_score_codex":0.0000059406802,"about_ca_topic_score_gemma":0.00001426383,"teacher_disagreement_score":0.5643733,"about_ca_system_score_codex":0.000016855667,"about_ca_system_score_gemma":0.000048358826,"threshold_uncertainty_score":0.36613128},"labels":[],"label_agreement":null},{"id":"W3151091794","doi":"10.3390/app11073010","title":"Depth-Extrapolation-Based True-Amplitude Full-Wave-Equation Migration from Topography","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extrapolation; Amplitude; Surface (topology); Geology; Partial derivative; Wave equation; Seismic migration; Derivative (finance); Mathematical analysis; Second derivative; Time derivative; Surface wave; Geometry; Algorithm; Mathematics; Optics; Geophysics; Physics","score_opus":0.03653562027596145,"score_gpt":0.2299293227010112,"score_spread":0.19339370242504977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151091794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828717,0.0005505974,0.07493219,0.0029911292,0.00048074033,0.00021825785,0.000052640647,0.00032396763,0.037578773],"genre_scores_gemma":[0.9689943,0.000030556723,0.02794287,0.0025685537,0.0000862444,0.0000034158152,0.00033830694,0.0000022249733,0.00003351962],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986194,0.000056998862,0.000216282,0.0004249211,0.00044731202,0.00023513235],"domain_scores_gemma":[0.9993283,0.00025839408,0.000095998956,0.00018711087,0.00005202087,0.00007814506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039821997,0.00012288454,0.00012313829,0.0001444658,0.00044534443,0.00022069721,0.00018608238,0.00006389693,0.0015694563],"category_scores_gemma":[0.00003692299,0.000106191226,0.00006402654,0.00076186797,0.00023829693,0.0002512898,0.000007085826,0.00009376233,0.00012588402],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070723676,0.0001058833,0.43863538,0.000020104057,0.000035568784,0.000014835243,0.0011001243,0.0070069437,0.034338105,0.0056306724,0.011159077,0.50188255],"study_design_scores_gemma":[0.0005504351,0.00015918547,0.27395064,0.00003948699,0.000041295658,0.0000062001905,0.0015127287,0.5412402,0.11096604,0.039587952,0.031279784,0.0006660088],"about_ca_topic_score_codex":0.002874023,"about_ca_topic_score_gemma":0.0009514544,"teacher_disagreement_score":0.5342333,"about_ca_system_score_codex":0.000005275902,"about_ca_system_score_gemma":0.00014736252,"threshold_uncertainty_score":0.9993432},"labels":[],"label_agreement":null},{"id":"W3152674468","doi":"10.3390/app11083357","title":"Right Ventricular Global and Regional Remodeling in American-Style Football Athletes: A Longitudinal 3D Echocardiographic Study","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Athletes; Cardiology; Internal medicine; Medicine; Physical therapy","score_opus":0.018410379555239886,"score_gpt":0.2812848222837355,"score_spread":0.26287444272849564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152674468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920855,0.0040090955,0.00051223475,0.00023333948,0.0000614708,0.0006049843,0.0000018656137,0.000046741658,0.0024447788],"genre_scores_gemma":[0.995737,0.00019383083,0.0037270205,0.00018406518,0.000087262306,0.00005164202,0.000004274965,0.000008653993,0.0000062189915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757534,0.000088879584,0.0002505894,0.0008069565,0.0008871501,0.00039107676],"domain_scores_gemma":[0.9992266,0.000094118084,0.000067252964,0.0003784895,0.00007887464,0.00015462036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011577595,0.00019095861,0.0005670872,0.00019512797,0.00017868305,0.00008212803,0.0001580821,0.000047041533,0.000007913458],"category_scores_gemma":[0.000076252625,0.00016244988,0.00020326904,0.0024088765,0.0005282296,0.00008263017,0.00014389878,0.00016874833,0.000008489483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022200718,0.0009690163,0.95565575,0.000083907726,0.00047179402,0.005745719,0.0004364303,0.0021944274,0.0011537872,0.001103991,0.0002263843,0.0317368],"study_design_scores_gemma":[0.004862918,0.0007312389,0.98035246,0.00028582834,0.0006525215,0.0014382394,0.004642155,0.003950882,0.00031782532,0.0010216055,0.0011591519,0.0005851862],"about_ca_topic_score_codex":0.00022470791,"about_ca_topic_score_gemma":0.00014704715,"teacher_disagreement_score":0.031151613,"about_ca_system_score_codex":0.00008578814,"about_ca_system_score_gemma":0.00016208092,"threshold_uncertainty_score":0.66245145},"labels":[],"label_agreement":null},{"id":"W3152731649","doi":"10.3390/app11083346","title":"Randomized and Generated Instances Fitting with the Home Health Care Problem Subjected to Certain Constraints","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Benchmark (surveying); Computer science; Generator (circuit theory); Workload; Set (abstract data type); Confidentiality; Health care; Synchronization (alternating current); Risk analysis (engineering); Operations research; Power (physics); Computer security; Medicine; Engineering","score_opus":0.01466948788174533,"score_gpt":0.26013073658135333,"score_spread":0.245461248699608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152731649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8815925,0.0013944723,0.10221038,0.0021177554,0.00009619086,0.0009883908,0.000007380623,0.00035062502,0.01124232],"genre_scores_gemma":[0.8260156,0.000026716194,0.1734973,0.00035780566,0.000020145295,0.00005363897,0.000003560936,0.000010088726,0.000015151327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888426,0.00016853525,0.00020228238,0.00026032384,0.00021165506,0.00027292463],"domain_scores_gemma":[0.99936014,0.0003271785,0.000053042648,0.00010703762,0.00007321962,0.00007938138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012371393,0.000120608085,0.00027100902,0.000055195116,0.00039885685,0.00016856987,0.00013612401,0.000027851349,0.000013153296],"category_scores_gemma":[0.000054593747,0.000076371536,0.000015269554,0.0008224832,0.0003943795,0.000054126493,0.000031583066,0.00009913639,0.000001500605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071897754,0.000016250613,0.00068268564,0.00021052735,0.00010898356,0.000008417173,0.041528493,0.8536815,0.01772943,0.013875115,0.00037501348,0.07106461],"study_design_scores_gemma":[0.20413165,0.00044899745,0.002695684,0.0008719261,0.00020227472,0.00021826268,0.18947627,0.42746872,0.16521002,0.0017891371,0.003501152,0.0039859093],"about_ca_topic_score_codex":0.000012827054,"about_ca_topic_score_gemma":0.00012060588,"teacher_disagreement_score":0.4262128,"about_ca_system_score_codex":0.000031347514,"about_ca_system_score_gemma":0.00017764083,"threshold_uncertainty_score":0.3114341},"labels":[],"label_agreement":null},{"id":"W3153118517","doi":"10.3390/app11083613","title":"Effects of a Curved Heel Shape in a Running Shoe on Biomechanical Variables and Comfort","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Heel; Physical medicine and rehabilitation; Ankle; Ground reaction force; Treadmill; Medicine; Biomechanics; Orthodontics; Force platform; Physical therapy; Surgery; Anatomy; Kinematics; Physics","score_opus":0.015862228991027936,"score_gpt":0.22389330576592084,"score_spread":0.2080310767748929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153118517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351656,0.00041403898,0.0010714653,0.00002963592,0.00015327451,0.00012193775,0.00000946927,0.00007532283,0.0046082744],"genre_scores_gemma":[0.9967611,0.00007261348,0.0030753335,0.000048422648,0.000010337108,0.000017587696,0.0000030517372,0.000005484009,0.0000060770944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993015,0.000008390581,0.00013757848,0.00021877736,0.00014592153,0.00018785478],"domain_scores_gemma":[0.9996462,0.00020788357,0.000019293988,0.00008619127,0.000007636383,0.00003280975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000306062,0.0000923107,0.00017178967,0.00010571745,0.00004746901,0.00003407117,0.00013020495,0.00006345553,0.00003309847],"category_scores_gemma":[0.000027814584,0.0000796854,0.000018485278,0.00054043933,0.00008109327,0.00004002005,0.000073351024,0.000081396975,0.0000022939396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006703698,0.00005798405,0.00037121587,0.00018393078,0.000010554324,0.000032554584,0.00030723985,0.00042292004,0.94721985,0.039594423,0.00011187186,0.011680745],"study_design_scores_gemma":[0.00080231566,0.00015987857,0.0025489426,0.00026021936,0.000015185654,0.0000142799845,0.0005713606,0.13685077,0.8393343,0.018271822,0.0007470519,0.00042382436],"about_ca_topic_score_codex":0.000005957025,"about_ca_topic_score_gemma":0.000012333302,"teacher_disagreement_score":0.13642786,"about_ca_system_score_codex":0.000010464562,"about_ca_system_score_gemma":0.000021880745,"threshold_uncertainty_score":0.32494763},"labels":[],"label_agreement":null},{"id":"W3153220892","doi":"10.3390/app11083485","title":"Heterogeneity of Ex Vivo and In Vivo Properties along the Length of the Abdominal Aortic Aneurysm","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Ex vivo; In vivo; Abdominal aortic aneurysm; Aorta; Aortic aneurysm; Medicine; Abdominal aorta; Aneurysm; Cardiology; Radiology; Biology","score_opus":0.02868864151424485,"score_gpt":0.26595537162272187,"score_spread":0.23726673010847701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153220892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965953,0.00042058647,0.0000041769786,0.0004850359,0.000039432973,0.00030706954,0.0000018511437,0.000007018288,0.0021395076],"genre_scores_gemma":[0.99942976,0.000028404078,0.00021860567,0.00014522857,0.000011552023,0.000016296337,1.15691996e-7,0.000004470416,0.00014554794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888414,0.000050995604,0.0002806118,0.00023928685,0.00037625732,0.00016872412],"domain_scores_gemma":[0.99945027,0.00008551555,0.00011686499,0.00027766198,0.000035353813,0.000034344746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368504,0.000093908086,0.0002128163,0.00003103455,0.00010244922,0.000010402177,0.00016187852,0.00003046282,0.00003036017],"category_scores_gemma":[0.000083287436,0.00004411943,0.000045940084,0.00035015377,0.0011367791,0.000040218092,0.00012349256,0.00007524814,9.648471e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009384062,0.00022595107,0.49549595,0.00011722083,0.00003549184,0.000034335924,0.001636827,0.00003672296,0.5006638,0.0002819969,0.000043183663,0.0013346497],"study_design_scores_gemma":[0.00050303777,0.000098968325,0.23662437,0.00006762195,0.000072557494,0.00017659516,0.0019502781,0.0005128819,0.75980496,0.00010489186,0.000023506587,0.000060326845],"about_ca_topic_score_codex":0.000115565555,"about_ca_topic_score_gemma":0.00019149382,"teacher_disagreement_score":0.25914112,"about_ca_system_score_codex":0.000014893616,"about_ca_system_score_gemma":0.00017206375,"threshold_uncertainty_score":0.41885102},"labels":[],"label_agreement":null},{"id":"W3153316737","doi":"10.3390/app11083451","title":"Addendum: Fang, Q.; Maldague, X. A Method of Defect Depth Estimation for Simulated Infrared Thermography Data with Deep Learning. Appl. Sci. 2020, 10, 6819","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Addendum; Thermography; Infrared; Fang; Materials science; Artificial intelligence; Computer science; Optics; Physics; Biology","score_opus":0.019843315348622857,"score_gpt":0.2786595426343698,"score_spread":0.25881622728574694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153316737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03815323,0.00080568914,0.94870305,0.000011032683,0.00007468669,0.00072493823,0.0002068673,0.0006573022,0.010663178],"genre_scores_gemma":[0.8316498,0.00002828768,0.16800702,0.000017663537,0.000027113761,0.00006373924,0.00014895918,0.000025821419,0.00003163807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986064,0.00004836861,0.0002643186,0.00046323717,0.0003039862,0.00031368987],"domain_scores_gemma":[0.99884826,0.0004374483,0.000106631356,0.00046253193,0.00007852163,0.000066593464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074106205,0.00020918621,0.00028348033,0.00018681923,0.00019569926,0.00007694199,0.0005862043,0.000104803235,0.00010299484],"category_scores_gemma":[0.00005817958,0.0001748766,0.00008613046,0.0016466536,0.00022989121,0.00018838777,0.000085428845,0.00015638374,0.0000012935465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019771425,0.00013197918,0.0011498184,0.00050252693,0.00050121534,0.000010951101,0.0015328134,0.5853997,0.17580535,0.003393835,0.0019972,0.2293769],"study_design_scores_gemma":[0.0008512442,0.00030325766,0.0015695181,0.000112988215,0.00026435702,0.000017907656,0.0010099509,0.85336053,0.13301343,0.0056757373,0.0031562953,0.00066479103],"about_ca_topic_score_codex":0.00001654513,"about_ca_topic_score_gemma":0.000044442626,"teacher_disagreement_score":0.79349655,"about_ca_system_score_codex":0.00000997956,"about_ca_system_score_gemma":0.00005261791,"threshold_uncertainty_score":0.71312606},"labels":[],"label_agreement":null},{"id":"W3153608551","doi":"10.3390/app11083579","title":"Fire Performance of Self-Tapping Screws in Tall Mass-Timber Buildings","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"FPInnovations; Université Laval","funders":"FPInnovations","keywords":"Fastener; Cross laminated timber; Fire resistance; Engineering; Tapping; Structural engineering; Fire safety; Forensic engineering; Architectural engineering; Environmental science; Civil engineering; Mechanical engineering; Materials science; Composite material","score_opus":0.006983156032894349,"score_gpt":0.20306699272936707,"score_spread":0.19608383669647272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153608551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9217144,0.00004168583,0.000034611654,0.00008656497,0.00010373582,0.00017155142,9.756124e-7,0.00003451531,0.07781195],"genre_scores_gemma":[0.9893749,0.000017183032,0.010270425,0.00013094739,0.000018433038,0.00002640484,8.7479737e-7,0.0000072355288,0.00015359595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837303,0.000029568999,0.00027487296,0.0004541581,0.0005040351,0.00036431052],"domain_scores_gemma":[0.9995045,0.00009546412,0.0001178243,0.0002148047,0.000006766527,0.000060653423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009171747,0.00012487598,0.00019757728,0.00004187986,0.00014136998,0.00004169945,0.00041530948,0.00005651832,0.00048438177],"category_scores_gemma":[0.000028315573,0.00011240307,0.000033966637,0.0010577407,0.0002814687,0.0002809181,0.00019295981,0.00010466573,0.00026179454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012936351,0.00017180422,0.37578553,0.00012592172,0.000010712569,0.000018795583,0.0015407691,0.0113681145,0.5933727,0.0011713345,0.0008495911,0.015571776],"study_design_scores_gemma":[0.0013213845,0.00033792056,0.26200604,0.00028157135,0.000024295221,0.000052655363,0.0014767273,0.27343437,0.44318065,0.00095902575,0.015707547,0.0012178307],"about_ca_topic_score_codex":0.00020566754,"about_ca_topic_score_gemma":0.0001181335,"teacher_disagreement_score":0.26206625,"about_ca_system_score_codex":0.00009698296,"about_ca_system_score_gemma":0.00003699138,"threshold_uncertainty_score":0.53036404},"labels":[],"label_agreement":null},{"id":"W3154899215","doi":"10.3390/app11083549","title":"Fourier Transform (FT) Analysis of the Stress as a Tool to Follow the Fatigue Behavior of Metals","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Harmonics; Brass; Materials science; Structural engineering; Fourier transform; Nonlinear system; Fast Fourier transform; Stress (linguistics); Engineering; Mathematics; Metallurgy; Physics; Mathematical analysis; Copper; Electrical engineering","score_opus":0.023272597186409488,"score_gpt":0.257564007454359,"score_spread":0.2342914102679495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154899215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821234,0.00015352595,0.009874382,0.00024203148,0.00016067705,0.00026725727,0.000033940938,0.00001804894,0.0071267337],"genre_scores_gemma":[0.99871534,0.000009076955,0.0010926267,0.00007803239,0.000009495146,0.000041200925,0.0000019796037,0.0000047872536,0.000047467453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991318,0.000012272034,0.0002007836,0.00013430104,0.00037727304,0.00014354751],"domain_scores_gemma":[0.9995416,0.000075394106,0.000037149664,0.00028587296,0.000034440505,0.000025574738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028981688,0.00008468702,0.00020274289,0.000072378745,0.00009114305,0.000024800353,0.00039843743,0.000035122765,0.00009101465],"category_scores_gemma":[0.000023617427,0.000045860714,0.00015565848,0.0018522162,0.00008212062,0.00004491989,0.00002992762,0.00006756374,0.0000017384696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017405247,0.00020292455,0.0026658268,0.00011217745,0.00184034,0.00000664063,0.014717778,0.3579216,0.423623,0.09001769,0.00045746085,0.108417146],"study_design_scores_gemma":[0.000121045,0.00002828448,0.0043964884,0.000015745405,0.0010274665,7.4310657e-7,0.0020655373,0.011967413,0.9785837,0.0010292948,0.0006101883,0.00015409695],"about_ca_topic_score_codex":0.000042881915,"about_ca_topic_score_gemma":0.00043560684,"teacher_disagreement_score":0.55496067,"about_ca_system_score_codex":0.000007813155,"about_ca_system_score_gemma":0.0000399275,"threshold_uncertainty_score":0.18701456},"labels":[],"label_agreement":null},{"id":"W3154994075","doi":"10.3390/app11083699","title":"Non-Deterministic Methods and Surrogates in the Design of Rockfill Dams","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Particle swarm optimization; Mathematical optimization; Computer science; Process (computing); Differential evolution; Representation (politics); Algorithm; Mathematics","score_opus":0.027353659620664175,"score_gpt":0.2975756385480201,"score_spread":0.27022197892735594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154994075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52769905,0.0010769449,0.42394453,0.00011467829,0.00036752585,0.00029501505,0.0000053773383,0.00012499411,0.04637189],"genre_scores_gemma":[0.95914364,0.000038944167,0.0407724,0.000013080952,0.000009229587,0.0000106398165,4.5451682e-7,0.0000038101552,0.000007776179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954605,0.000021939033,0.000109455985,0.00010656417,0.000091438764,0.00012454194],"domain_scores_gemma":[0.9995057,0.00036313373,0.000009791996,0.000097886936,0.000006457359,0.00001705145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007946038,0.00006171422,0.00010308824,0.000036336034,0.00003802656,0.00002478365,0.00014720262,0.000022178658,0.0000045519614],"category_scores_gemma":[0.000028806317,0.000043241664,0.0000104085975,0.00032791347,0.00008539094,0.000029565985,0.000019407526,0.000058108966,0.0000015126282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004448646,0.000034638757,0.00074206473,0.00016014925,0.00001916541,0.000014491311,0.0047880826,0.7036481,0.24138096,0.009319943,0.00017499608,0.039712984],"study_design_scores_gemma":[0.0003948073,0.00007248135,0.020145783,0.000060190632,0.000022784416,0.0000367247,0.0034049174,0.82254773,0.14576316,0.006244102,0.00091484765,0.00039245075],"about_ca_topic_score_codex":0.0000032266446,"about_ca_topic_score_gemma":0.0000032537341,"teacher_disagreement_score":0.43144464,"about_ca_system_score_codex":0.000003953671,"about_ca_system_score_gemma":0.000015298941,"threshold_uncertainty_score":0.17633438},"labels":[],"label_agreement":null},{"id":"W3155308816","doi":"10.3390/app11083343","title":"Sea-Surface Characteristics of the Newfoundland Basin of the Northwest Atlantic Ocean during the Last 145,000 Years: A Study Based on the Sedimentological and Paleontological Proxies","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Shanghai Ocean University; Memorial University of Newfoundland; Atlantic Canada Opportunities Agency; National Natural Science Foundation of China; Ohio State University","keywords":"Oceanography; Geology; Ocean gyre; North Atlantic Deep Water; Thermocline; Deglaciation; Halocline; Marine isotope stage; Seamount; Polar front; Water mass; Glacial period; Interglacial; Thermohaline circulation; Holocene; Subtropics; Paleontology; Salinity","score_opus":0.019527841739872362,"score_gpt":0.22605871919569573,"score_spread":0.20653087745582338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155308816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596626,0.00006743308,5.674503e-7,0.001999639,0.000101665486,0.00043858052,0.000021811587,0.000007254785,0.0013968202],"genre_scores_gemma":[0.99969465,0.000012184572,0.000020264686,0.00021668083,0.000017701554,0.0000026932073,0.0000028621341,0.0000011343881,0.00003184036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819213,0.0005647402,0.00022434608,0.00029557108,0.00042678462,0.00029640016],"domain_scores_gemma":[0.9980052,0.0014470714,0.00014003926,0.0003311978,0.00003880672,0.000037652822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011813582,0.000119535965,0.0002203402,0.000019278023,0.0008006829,0.000058310932,0.0007487166,0.000070548784,0.0002284313],"category_scores_gemma":[0.00017050005,0.000043204844,0.00005055191,0.00051285845,0.0025444184,0.00003000215,0.0000997703,0.00030700292,0.0000063522557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039280316,0.00006558369,0.9988387,0.00001228782,0.000013522696,0.000007101364,0.00047312715,0.00022715656,0.00003723177,0.00023385948,0.0000065958493,0.0000455039],"study_design_scores_gemma":[0.00019868455,0.00012347334,0.997059,0.000013371525,0.00001865481,0.000023026012,0.001497184,0.00070813653,0.0001116064,0.0001547841,0.000033380682,0.000058710342],"about_ca_topic_score_codex":0.00037123513,"about_ca_topic_score_gemma":0.019839209,"teacher_disagreement_score":0.019467974,"about_ca_system_score_codex":0.0000010341033,"about_ca_system_score_gemma":0.00010135723,"threshold_uncertainty_score":0.99804616},"labels":[],"label_agreement":null},{"id":"W3156052664","doi":"10.3390/app11083712","title":"Haptic-Enabled Hand Rehabilitation in Stroke Patients: A Scoping Review","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Riverview Hospital","funders":"University of Manitoba","keywords":"Psychological intervention; Rehabilitation; Telerehabilitation; Haptic technology; Physical medicine and rehabilitation; Medicine; Physical therapy; Telemedicine; Computer science; Health care; Simulation; Nursing","score_opus":0.041655542445652644,"score_gpt":0.36680511887801637,"score_spread":0.32514957643236375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156052664","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015400261,0.9892574,0.000016215768,0.00016511977,0.0002905984,0.004027562,0.000008917454,0.000026580214,0.006053612],"genre_scores_gemma":[0.000046218323,0.9962591,0.0023863004,0.00032459563,0.000068697365,0.0005997523,0.00007253244,0.000020520876,0.00022231165],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9969853,0.00019105164,0.0010748912,0.00075750373,0.0006454788,0.00034575953],"domain_scores_gemma":[0.9974824,0.0015414723,0.00036876334,0.0003540587,0.00013726986,0.00011599813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013667195,0.00031336106,0.0021708664,0.00048232195,0.00015194157,0.00008205292,0.00019462306,0.00018692968,0.00022116781],"category_scores_gemma":[0.0016745282,0.00022330697,0.0004509457,0.0014794199,0.00046371992,0.000111584995,0.000071322924,0.00031875516,0.00007774337],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004569301,0.0001996486,0.00028457178,0.23644008,0.000033852262,0.0000038184394,0.00012083802,8.4164316e-7,0.0000033298882,0.0005358564,0.0006738888,0.7616987],"study_design_scores_gemma":[0.0005277852,0.0002613444,0.00013349649,0.7214748,0.00035422674,0.000007100328,0.00016889014,0.000002838981,0.0000010610562,0.000025616777,0.2767562,0.0002866022],"about_ca_topic_score_codex":0.0000079250885,"about_ca_topic_score_gemma":0.000016897951,"teacher_disagreement_score":0.7614121,"about_ca_system_score_codex":0.0002062879,"about_ca_system_score_gemma":0.0014310556,"threshold_uncertainty_score":0.9106194},"labels":[],"label_agreement":null},{"id":"W3156192449","doi":"10.3390/app11083490","title":"Design Study of Steel Fibre Reinforced Concrete Shaft Lining for Swelling Ground in Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hanyang University","keywords":"Bending moment; Structural engineering; Geotechnical engineering; Reinforced concrete; Fiber-reinforced concrete; Engineering; Geology; Materials science","score_opus":0.01796746249057708,"score_gpt":0.23256893325214933,"score_spread":0.21460147076157227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156192449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94587606,0.0005615759,0.048188742,0.000015178929,0.0002934398,0.00044538456,0.0000026214902,0.0001855952,0.0044314116],"genre_scores_gemma":[0.9936919,0.000008796976,0.0061637005,0.00001607684,0.0000253325,0.00003361469,0.0000013627091,0.00001812776,0.000041072133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990773,0.000009374933,0.00026212662,0.00019397294,0.0002058162,0.00025138844],"domain_scores_gemma":[0.9994985,0.0002737568,0.000029528906,0.00013141533,0.000022891207,0.00004393599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025776398,0.00011505098,0.0002074806,0.000026076392,0.000066090026,0.000036528403,0.00019514514,0.000049797138,0.000019426161],"category_scores_gemma":[0.000031101903,0.00011047568,0.00001893137,0.00021630211,0.00003095876,0.000071677256,0.000021916027,0.00008878925,2.3003307e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051836187,0.0000011229232,0.000007944545,0.00003494378,0.000011482536,0.000002473172,0.00032388457,0.98062307,0.016549274,0.0020218622,0.00006877165,0.00034998977],"study_design_scores_gemma":[0.0010893004,0.00022010341,0.0008254391,0.00006169089,0.000021644513,0.0000055323394,0.014191468,0.9580185,0.024304835,0.00032200755,0.00048262023,0.00045686594],"about_ca_topic_score_codex":0.032818902,"about_ca_topic_score_gemma":0.08324023,"teacher_disagreement_score":0.050421327,"about_ca_system_score_codex":0.00011037618,"about_ca_system_score_gemma":0.000120607714,"threshold_uncertainty_score":0.97362167},"labels":[],"label_agreement":null},{"id":"W3156330065","doi":"10.3390/app11083618","title":"Numerical Modelling of Flow-Debris Interaction during Extreme Hydrodynamic Events with DualSPHysics-CHRONO","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"University of Nottingham","keywords":"Debris flow; Debris; Container (type theory); Smoothed-particle hydrodynamics; Mechanics; Context (archaeology); Trajectory; Flow (mathematics); Computer simulation; Numerical models; Centroid; Marine engineering; Geology; Simulation; Computer science; Meteorology; Physics; Engineering; Mechanical engineering","score_opus":0.02067483263996789,"score_gpt":0.22355919595782775,"score_spread":0.20288436331785986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156330065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73179215,0.000028198017,0.2612213,0.000016319227,0.00014097933,0.00005226643,0.0000030984372,0.00006304791,0.0066826497],"genre_scores_gemma":[0.9898464,0.000017792903,0.010004028,0.000005120197,0.000032603624,0.000011775654,0.000011033043,0.000010673507,0.000060578812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992401,0.000007699312,0.00019490378,0.00020033648,0.00019075612,0.00016619393],"domain_scores_gemma":[0.99969816,0.00004541602,0.00003779102,0.00014059484,0.000042612854,0.00003542859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000541836,0.00010321524,0.00013150398,0.00008049146,0.00014531586,0.000031780175,0.00009600515,0.000026518892,0.000066181594],"category_scores_gemma":[0.0000030206288,0.00009512956,0.00003834666,0.0004527082,0.000050133367,0.0002681671,0.00001951091,0.00010699148,0.000010957801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004039344,0.000026899012,0.00013428708,0.000016265283,0.000018099357,8.4230686e-7,0.00013529444,0.9842274,0.014269115,0.00074570574,0.000005149871,0.00041690405],"study_design_scores_gemma":[0.00012271355,0.000013293114,0.00035229945,0.000033873217,0.000009598371,0.0000075052435,0.00017234345,0.98993784,0.00880845,0.00040606916,0.000021992033,0.00011402186],"about_ca_topic_score_codex":0.000019961824,"about_ca_topic_score_gemma":0.000015045906,"teacher_disagreement_score":0.25805426,"about_ca_system_score_codex":0.00006425783,"about_ca_system_score_gemma":0.000030119252,"threshold_uncertainty_score":0.3879271},"labels":[],"label_agreement":null},{"id":"W3156471813","doi":"10.3390/app11073282","title":"Dynamic Response Analysis of a Thin Plate with Partially Constrained Layer Damping Optimization under Moving Loads for Various Boundary Conditions","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Loss factor; Vibration; Displacement (psychology); Equations of motion; Boundary value problem; Control theory (sociology); Mathematics; Structural engineering; Mathematical analysis; Engineering; Computer science; Physics; Classical mechanics; Acoustics","score_opus":0.008477988136317654,"score_gpt":0.2434294878938461,"score_spread":0.23495149975752846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156471813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2666823,0.00005124355,0.73240465,0.000071293965,0.000030851523,0.00010123601,0.000028778759,0.00005258966,0.00057705946],"genre_scores_gemma":[0.91909146,0.000009059449,0.08066351,0.000057094152,0.0000057861557,0.000015767244,0.00013270811,0.000008701964,0.00001591277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912876,0.00002644725,0.00024948758,0.00023628795,0.00019232207,0.00016672169],"domain_scores_gemma":[0.99943006,0.0002065564,0.00008118623,0.00014600268,0.000098869226,0.000037344846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030330854,0.00011095899,0.00024491508,0.0002982322,0.00026768455,0.00012974445,0.000106003434,0.000045528595,0.000085917556],"category_scores_gemma":[0.000017511804,0.000098380195,0.00007704636,0.0017815066,0.0001664964,0.00012236198,0.000017472343,0.000052013536,3.3502423e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036497964,0.00000857021,0.00008713036,0.0000091986585,0.00037659897,0.000001175006,0.00029905624,0.9649702,0.032049544,0.0020571977,0.0000046456944,0.000100210185],"study_design_scores_gemma":[0.00022925936,0.000024332683,0.001599146,0.000011188506,0.0005698042,0.0000024970218,0.0003853145,0.99313605,0.0035652893,0.00033210637,0.000013487817,0.00013154635],"about_ca_topic_score_codex":0.000006063537,"about_ca_topic_score_gemma":0.00028168765,"teacher_disagreement_score":0.65240914,"about_ca_system_score_codex":0.000043002765,"about_ca_system_score_gemma":0.0001433692,"threshold_uncertainty_score":0.4011828},"labels":[],"label_agreement":null},{"id":"W3157025038","doi":"10.3390/app11094051","title":"Cavity Detection in Steel-Pipe Culverts Using Infrared Thermography","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Culvert; Thermography; Infrared; Process (computing); Thermal; Engineering; Computer science; Structural engineering; Optics","score_opus":0.01535771009948773,"score_gpt":0.2268031012110302,"score_spread":0.21144539111154248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157025038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971177,0.00022703975,0.013181768,0.0000036815054,0.00016768114,0.000114997594,0.000010335137,0.00030317597,0.014814338],"genre_scores_gemma":[0.9984955,0.000028296849,0.0013764951,0.000041911917,0.000023598619,0.000019355924,0.000001066869,0.0000089531195,0.0000048306765],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992623,0.000018905337,0.00013790502,0.00020139644,0.00015746697,0.00022206944],"domain_scores_gemma":[0.9997695,0.000040207007,0.000020028892,0.00011990021,0.000013996844,0.000036341753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023263498,0.00010593036,0.00011483535,0.00018665918,0.00011714817,0.000052060444,0.00012849696,0.00007206971,0.00003403814],"category_scores_gemma":[0.0000052696228,0.00010299028,0.00004562878,0.0013768189,0.00012448638,0.00010290407,0.000022960072,0.00012323272,8.0021067e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027956562,0.000014342397,0.00054101425,0.000015281415,0.0000065850827,0.000005571773,0.00030314398,0.0020652662,0.9812726,0.0002823049,0.000014407612,0.015476729],"study_design_scores_gemma":[0.0001223523,0.000014577316,0.010578166,0.0000252665,0.0000090766425,0.00001009703,0.00047729665,0.010714287,0.9710873,0.0063044853,0.00042479782,0.0002322999],"about_ca_topic_score_codex":0.0000395097,"about_ca_topic_score_gemma":0.00011104745,"teacher_disagreement_score":0.027318507,"about_ca_system_score_codex":0.000022528273,"about_ca_system_score_gemma":0.000022436341,"threshold_uncertainty_score":0.41998217},"labels":[],"label_agreement":null},{"id":"W3157129019","doi":"10.3390/app11093765","title":"Special Issue: New Trends in Enhanced, Hybrid and Integrated Geothermal Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geothermal gradient; Fossil fuel; Environmental science; Natural resource economics; Earth science; Geology; Waste management; Engineering; Economics; Paleontology","score_opus":0.015103690805555464,"score_gpt":0.24172252112516224,"score_spread":0.22661883031960678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157129019","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31956893,0.00024235384,0.00025801218,0.00043112985,0.00046110866,0.00007961675,0.000004735681,0.000060691757,0.67889345],"genre_scores_gemma":[0.9781946,0.000016882104,0.00027886115,0.000116166935,0.0019280041,0.00004346068,0.000012020472,0.000011308376,0.019398682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987632,0.00003283492,0.00026238686,0.0004331277,0.00021271582,0.0002957224],"domain_scores_gemma":[0.99958545,0.000036318503,0.000070601374,0.00018315823,0.000023712197,0.0001007651],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019358889,0.00014093496,0.00021386235,0.00012623114,0.0001469404,0.00015073801,0.00020133994,0.000051055897,0.0010612332],"category_scores_gemma":[0.000007577429,0.00011880804,0.00002719372,0.0008623657,0.00016536696,0.00008938034,0.00004706865,0.000090648246,0.000106037456],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017952772,0.000095498515,0.00022650068,0.00001682366,0.000022768138,0.000021720894,0.0009890506,0.05705659,0.049890943,0.52174526,0.011793706,0.35812318],"study_design_scores_gemma":[0.0006719961,0.000028350123,0.0029163368,0.000038233644,0.000008558297,0.00003549416,0.0024754212,0.0035249342,0.02014724,0.0010982726,0.96868646,0.00036867667],"about_ca_topic_score_codex":0.007331299,"about_ca_topic_score_gemma":0.0031926576,"teacher_disagreement_score":0.9568928,"about_ca_system_score_codex":0.000025234873,"about_ca_system_score_gemma":0.00009890061,"threshold_uncertainty_score":0.99985194},"labels":[],"label_agreement":null},{"id":"W3157550313","doi":"10.3390/app11093983","title":"Experimental Evaluation of a Latent Heat Storage Module with a Heat Spreader for Thermal Management of a Tablet Computer","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Phase-change material; Materials science; Thermal energy storage; Heat spreader; Thermal; Latent heat; Transient (computer programming); Work (physics); Mechanical engineering; Composite material; Heat sink; Computer science; Thermodynamics; Engineering","score_opus":0.030188038397121867,"score_gpt":0.2529667328966037,"score_spread":0.22277869449948184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157550313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74883014,0.00017610927,0.24846382,0.000022393695,0.00005146753,0.0003603295,0.0000048127313,0.00001965648,0.0020712544],"genre_scores_gemma":[0.9783198,0.0000037076743,0.02155394,0.000012828294,0.00001217387,0.00007920789,0.00000817658,0.0000060428783,0.0000041019916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935865,0.000009632969,0.00010345763,0.00012863698,0.00029010657,0.00010948438],"domain_scores_gemma":[0.99984604,0.00001058896,0.000004625342,0.000076393815,0.000042672444,0.000019704828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351223,0.0000632318,0.00009884834,0.000030563337,0.000037448757,0.000013390709,0.00006144666,0.000017306726,0.000033615823],"category_scores_gemma":[2.2594521e-7,0.000051095765,0.000019173081,0.00017673771,0.000052448584,0.0000639197,0.000009677553,0.000016596558,4.927243e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009116633,0.000040038176,0.000031921292,0.00006096833,0.00002485888,3.0667772e-7,0.00053110346,0.9272768,0.070366465,0.00064817775,0.000017823699,0.0009924258],"study_design_scores_gemma":[0.00053654774,0.0000529448,0.00041093444,0.000026651944,0.00002469319,6.223085e-7,0.0002778094,0.669258,0.3293347,0.000014392468,0.000008081164,0.00005462913],"about_ca_topic_score_codex":0.0000044621725,"about_ca_topic_score_gemma":0.0000023352766,"teacher_disagreement_score":0.25896823,"about_ca_system_score_codex":0.000022713957,"about_ca_system_score_gemma":0.000022698749,"threshold_uncertainty_score":0.20836248},"labels":[],"label_agreement":null},{"id":"W3159387031","doi":"10.3390/app9163245","title":"Intelligent Identification of Maceral Components of Coal Based on Image Segmentation and Classification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation","keywords":"Maceral; Liptinite; Inertinite; Computer science; Artificial intelligence; Vitrinite; Pattern recognition (psychology); Segmentation; Coal; Identification (biology); Cluster analysis; Data mining; Engineering","score_opus":0.028572548507504177,"score_gpt":0.26685547310846314,"score_spread":0.23828292460095896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159387031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98993134,0.000011717758,0.0063507124,0.000016207267,0.00006896155,0.000100319725,0.0000025179359,0.000017877685,0.0035003119],"genre_scores_gemma":[0.99894685,0.0000036327024,0.0010042067,0.000006311463,0.0000054425586,0.000004359618,0.000008891386,0.0000029162763,0.000017411072],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995301,0.0000056661493,0.00015822116,0.00009749153,0.0001514684,0.000057105444],"domain_scores_gemma":[0.99982166,0.000028909753,0.0000658183,0.00005698801,0.00001323069,0.00001336118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021473377,0.000043201806,0.00006374265,0.00008052661,0.000029353369,0.000019269422,0.00006357271,0.000016822809,0.000010647628],"category_scores_gemma":[0.0000030622825,0.00003861101,0.000008454999,0.000118830474,0.00007567031,0.0000639567,0.0000052469422,0.000027466345,0.000009575034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000547944,0.0000117303625,0.0022815547,0.000081100705,0.0000016417569,1.2158775e-8,0.00015432869,0.045497905,0.94894433,0.0007184945,0.00001552779,0.0022879106],"study_design_scores_gemma":[0.0001244092,0.000025517733,0.034705568,0.000025833526,0.0000035838768,1.2391952e-7,0.0002766924,0.570207,0.3943999,0.0001689603,0.000008926862,0.00005349698],"about_ca_topic_score_codex":0.0000037867844,"about_ca_topic_score_gemma":6.698757e-7,"teacher_disagreement_score":0.5545444,"about_ca_system_score_codex":0.000011471179,"about_ca_system_score_gemma":0.0000051512,"threshold_uncertainty_score":0.15745114},"labels":[],"label_agreement":null},{"id":"W3160173417","doi":"10.3390/app11104637","title":"Numerical Algorithms for Elastoplacity: Finite Elements Code Development and Implementation of the Mohr–Coulomb Law","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Tangent; Finite element method; Nonlinear system; Computation; Algorithm; Matrix (chemical analysis); Numerical analysis; MATLAB; Computer science; Applied mathematics; Mathematics; Structural engineering; Geometry; Mathematical analysis; Engineering; Physics","score_opus":0.019524943480113997,"score_gpt":0.2573137530609571,"score_spread":0.2377888095808431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160173417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.642174,0.00016761516,0.35369188,0.0002516666,0.0006300228,0.0005406723,0.00003560555,0.00019658566,0.0023119303],"genre_scores_gemma":[0.9794664,0.000007096796,0.020394389,0.000051774798,0.0000085837655,0.000048476802,0.0000030136855,0.000005853506,0.000014462054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993779,0.0000038792914,0.00016858493,0.00012726596,0.0001669054,0.0001554403],"domain_scores_gemma":[0.99979454,0.00005787344,0.000022578839,0.00007673153,0.0000182436,0.000030011759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020859197,0.00006875386,0.000089191824,0.000015999978,0.000117533105,0.000021195863,0.00010761407,0.000029309109,0.0000061960495],"category_scores_gemma":[0.000010016326,0.00005403793,0.00001832625,0.00018553855,0.000040100727,0.000029240333,0.000036337264,0.000050834675,9.0511884e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068480254,0.000078741126,0.00027288139,0.00040485588,0.00011816044,0.000001461138,0.0022249517,0.42652625,0.041364785,0.2532154,0.00027465072,0.275511],"study_design_scores_gemma":[0.000628483,0.00004731385,0.0009195996,0.000027830327,0.00002129647,0.0000034324419,0.0011287738,0.3779415,0.5877839,0.0034666983,0.027742406,0.00028881643],"about_ca_topic_score_codex":0.0000050505723,"about_ca_topic_score_gemma":0.000028502072,"teacher_disagreement_score":0.5464191,"about_ca_system_score_codex":0.000015249131,"about_ca_system_score_gemma":0.000031726446,"threshold_uncertainty_score":0.22036028},"labels":[],"label_agreement":null},{"id":"W3160756684","doi":"10.3390/app11094278","title":"Macroscopic Traffic-Flow Modelling Based on Gap-Filling Behavior of Heterogeneous Traffic","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Traffic flow (computer networking); Microscopic traffic flow model; Simulation; Flow (mathematics); Traffic generation model; Homogeneous; Bottleneck; Statistical physics; Computer science; Mechanics; Physics; Real-time computing","score_opus":0.021858805355533202,"score_gpt":0.22375423299280625,"score_spread":0.20189542763727306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160756684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710256,0.00029036502,0.024013482,0.000030778298,0.0003320779,0.0002322716,0.000008356669,0.00026934984,0.0037977411],"genre_scores_gemma":[0.9923945,0.000024290404,0.0073815365,0.000061029816,0.000036441656,0.00005601299,0.0000049570235,0.000016233485,0.000025013764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987706,0.000010761951,0.00024599742,0.00031741508,0.00033497924,0.00032024912],"domain_scores_gemma":[0.99961895,0.000060366772,0.00003249716,0.00020455888,0.00001962135,0.00006398711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017784536,0.0001595999,0.00021031911,0.00010072793,0.00013062991,0.000057804198,0.00022324597,0.000048706843,0.00007434684],"category_scores_gemma":[0.0000021558847,0.00015177058,0.000077023986,0.00034637953,0.00008909412,0.000037788952,0.00001827308,0.00009280907,0.0000137883535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042650963,0.00006153404,0.0000027162198,0.00003606594,0.0000082156175,0.000011712177,0.00011966946,0.95794785,0.0035773977,0.00022955606,0.000022929367,0.03797807],"study_design_scores_gemma":[0.00034011315,0.000041446685,0.000019551368,0.000025485208,0.000028136783,0.0000014482388,0.0001313821,0.9907607,0.008167107,0.000013073188,0.00030879534,0.00016280502],"about_ca_topic_score_codex":0.000001608634,"about_ca_topic_score_gemma":0.000019441588,"teacher_disagreement_score":0.037815265,"about_ca_system_score_codex":0.000025266992,"about_ca_system_score_gemma":0.00003702824,"threshold_uncertainty_score":0.61890244},"labels":[],"label_agreement":null},{"id":"W3162256634","doi":"10.3390/app11104377","title":"Independent Component Analysis Applied on Pulsed Thermographic Data for Carbon Fiber Reinforced Plastic Inspection: A Comparative Study","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Independent component analysis; Thermography; Principal component analysis; Pattern recognition (psychology); Computer science; Artificial intelligence; Materials science; Infrared; Optics","score_opus":0.04357948484031433,"score_gpt":0.27762397300739394,"score_spread":0.23404448816707962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162256634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707132,0.000054579097,0.007716952,0.0000080515,0.0001832516,0.0010763854,0.00020305734,0.00066534895,0.019379169],"genre_scores_gemma":[0.9991152,0.0000046042446,0.00036884783,0.000018718507,0.000049793754,0.00031076034,0.00010199946,0.000013778979,0.000016297776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983507,0.000027424421,0.00030347463,0.00058923534,0.0004330303,0.00029617426],"domain_scores_gemma":[0.9988153,0.00034719607,0.000069926165,0.00065764395,0.000037088477,0.00007283918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044950203,0.0002349209,0.00039262598,0.0004080946,0.00029080044,0.00011037104,0.00057895784,0.00007084473,0.000052493786],"category_scores_gemma":[0.000007834135,0.00020564646,0.000086903055,0.0022139885,0.00017507527,0.000057294714,0.00009386928,0.0001826936,0.0000021446847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042603438,0.00073474203,0.0014696481,0.00011068564,0.0041638133,0.000019295641,0.0071345214,0.82927185,0.14167975,0.012419536,0.00059906713,0.0019710357],"study_design_scores_gemma":[0.004795193,0.0015601685,0.06651819,0.000076428674,0.0036348284,0.00001245759,0.027590994,0.75899297,0.1302372,0.0027476603,0.0009921618,0.002841755],"about_ca_topic_score_codex":0.000030257903,"about_ca_topic_score_gemma":0.00013919454,"teacher_disagreement_score":0.07027891,"about_ca_system_score_codex":0.000028855828,"about_ca_system_score_gemma":0.000034727997,"threshold_uncertainty_score":0.8386019},"labels":[],"label_agreement":null},{"id":"W3162578738","doi":"10.3390/app11104367","title":"Waste Management Strategies to Mitigate the Effects of Fluorinated Greenhouse Gases on Climate Change","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centro de Ciências do Mar e do Ambiente; Laboratório Associado para a Química Verde; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior","keywords":"Greenhouse gas; Montreal Protocol; Retrofitting; Environmental science; Ozone layer; Waste management; Natural resource economics; Global warming; Environmental economics; Business; Climate change; Environmental protection; Engineering; Ozone; Economics; Chemistry","score_opus":0.016715351690819783,"score_gpt":0.22714858397924467,"score_spread":0.2104332322884249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162578738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129174,0.00035028288,0.000020362817,0.00040952713,0.00023051995,0.000390472,0.000015839121,0.000046276964,0.08561932],"genre_scores_gemma":[0.9981323,0.00029530257,0.00057882885,0.0007493291,0.00005865223,0.0000187634,0.00000694797,0.0000033020342,0.00015657749],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985588,0.000050015657,0.0001818398,0.00035661008,0.00042696562,0.000425724],"domain_scores_gemma":[0.99934024,0.00022540061,0.00007735649,0.0002465735,0.0000233824,0.0000870412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031313425,0.0001473388,0.0001709899,0.00002381876,0.0003716932,0.00012798481,0.0003972637,0.000027918735,0.00043416518],"category_scores_gemma":[0.00001157799,0.00009060854,0.00004468941,0.0008309647,0.00024693203,0.0001490978,0.00005542818,0.00006712203,0.00039273239],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037716064,0.00033084795,0.031771798,0.0013060005,0.00021779444,0.0005844212,0.006393128,0.019278774,0.0073032347,0.11298155,0.0021021366,0.8173531],"study_design_scores_gemma":[0.0026238335,0.0053022117,0.690187,0.0011291726,0.0003806374,0.000050664134,0.078433365,0.0068028774,0.18277328,0.014214773,0.015732726,0.0023694567],"about_ca_topic_score_codex":0.00018050258,"about_ca_topic_score_gemma":0.00046903917,"teacher_disagreement_score":0.8149837,"about_ca_system_score_codex":0.0000025391537,"about_ca_system_score_gemma":0.000027545277,"threshold_uncertainty_score":0.50479114},"labels":[],"label_agreement":null},{"id":"W3163065009","doi":"10.3390/app11104323","title":"Long-Term Numerical Analysis of Subsurface Delamination Detection in Concrete Slabs via Infrared Thermography","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Université Laval","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Thermography; Finite element method; Structural engineering; Slab; Structural health monitoring; Delamination (geology); Bridge (graph theory); Term (time); Infrared; Materials science; Engineering; Geology; Optics","score_opus":0.007872372505941728,"score_gpt":0.2237143969287622,"score_spread":0.21584202442282047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163065009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86943114,0.00019853398,0.12814586,0.0000024892547,0.00004677199,0.00008553432,0.000013789631,0.00012192231,0.0019539518],"genre_scores_gemma":[0.9991082,0.00003893416,0.00079575944,0.000010630011,0.000006023428,0.000022656208,0.000008742793,0.000006236692,0.0000028022014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921066,0.000027205548,0.0002150849,0.00019315704,0.00019505473,0.00015882301],"domain_scores_gemma":[0.99967784,0.000091364825,0.000047785164,0.00012310332,0.00003109113,0.000028800561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026655025,0.0000971552,0.00020022651,0.00046316866,0.00005000434,0.000023417564,0.00013484198,0.00007238743,0.000051556603],"category_scores_gemma":[0.0000067718047,0.000095071955,0.00008989925,0.004499094,0.00013913718,0.00007895747,0.000015506752,0.0000909784,4.233701e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009298554,0.000007424058,0.022366026,0.000024907002,0.00015340257,0.000003944172,0.0005557303,0.005422496,0.9495127,0.00028307713,0.0000023962855,0.021658551],"study_design_scores_gemma":[0.000107837084,0.000026521135,0.2939649,0.0000102481345,0.00012499906,0.0000014237519,0.0001318495,0.046772987,0.6581412,0.0005510855,0.0000059649587,0.00016101975],"about_ca_topic_score_codex":0.000022082559,"about_ca_topic_score_gemma":0.00006878969,"teacher_disagreement_score":0.29137158,"about_ca_system_score_codex":0.000015236691,"about_ca_system_score_gemma":0.00001170365,"threshold_uncertainty_score":0.38769218},"labels":[],"label_agreement":null},{"id":"W3164426083","doi":"10.3390/app11114771","title":"Why Determining the Native Length Change Pattern of Medial Patellofemoral Ligament Is Still a Challenge: State-of-the-Art Review of Potential Sources of Heterogeneity within Studies Evaluating Isometry of MPFL","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medial patellofemoral ligament; Medicine; Demographics; Orthodontics; Patella; Demography","score_opus":0.11145370936620147,"score_gpt":0.32861545014053034,"score_spread":0.21716174077432887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164426083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97923946,0.019691933,0.00017357884,0.00012798535,0.0002812446,0.0003052975,0.00011877326,0.00000943019,0.000052273124],"genre_scores_gemma":[0.9919922,0.0071860487,0.00066466385,0.00010079368,0.000018313598,0.000026975164,0.0000018979338,0.000007648228,0.0000014977315],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981798,0.00009290451,0.00063418865,0.00021908588,0.00069995347,0.00017408191],"domain_scores_gemma":[0.99872005,0.00022294626,0.0005460716,0.00023966785,0.00025106137,0.000020218706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398515,0.0001497682,0.0005285001,0.000078770085,0.000058159163,0.00000668925,0.00042163726,0.00003829957,0.000017820685],"category_scores_gemma":[0.00015319105,0.00009199909,0.00012718388,0.000536266,0.00050663215,0.000062729865,0.00030049318,0.00009638655,2.655098e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057628604,0.0005941788,0.010878928,0.032418452,0.0011418763,0.000008422472,0.17556992,0.0022507834,0.2979585,0.00016079025,0.00039371575,0.4785668],"study_design_scores_gemma":[0.0003108373,0.0003225665,0.0011119748,0.0035682097,0.00012497626,0.000002124889,0.0063424786,0.005325549,0.98218083,0.00048396847,0.000036238416,0.00019024691],"about_ca_topic_score_codex":0.000015337724,"about_ca_topic_score_gemma":0.000059480215,"teacher_disagreement_score":0.68422234,"about_ca_system_score_codex":0.000013796938,"about_ca_system_score_gemma":0.000045845594,"threshold_uncertainty_score":0.3751614},"labels":[],"label_agreement":null},{"id":"W3164430037","doi":"10.3390/app11104681","title":"Capability of Advanced Ultrasonic Inspection Technologies for Hydraulic Turbine Runners","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Welding; Nondestructive testing; Ultrasonic sensor; Ultrasonic testing; Reliability (semiconductor); Turbine; Turbine blade; Engineering; Mechanical engineering; Structural engineering; Power (physics); Acoustics","score_opus":0.009472253613293714,"score_gpt":0.22133744441076567,"score_spread":0.21186519079747196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164430037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693944,0.0004022102,0.024894554,0.00019617351,0.00022518761,0.00022818036,0.000009502477,0.00045217312,0.0041976157],"genre_scores_gemma":[0.98786736,0.000059984613,0.011979734,0.000009204413,0.000018128881,0.000045645345,0.0000052823916,0.0000057356356,0.000008947351],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938524,0.0000028372299,0.00014928098,0.00018472188,0.000120427976,0.0001575025],"domain_scores_gemma":[0.99968916,0.00009829447,0.00003429039,0.00012013666,0.000044298355,0.000013832232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018428,0.00007395348,0.00011345227,0.000045686604,0.0000976498,0.000018571378,0.00011946823,0.000047620648,0.00000420304],"category_scores_gemma":[0.00010248898,0.00006634556,0.000029971403,0.00042988025,0.00019058317,0.000072549934,0.000012780056,0.000060133272,0.0000016373554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029885844,0.000019278497,0.00010248175,0.0000676941,0.000007648748,1.2921802e-7,0.00010114158,0.06463662,0.908636,0.006265969,0.0000846299,0.020075444],"study_design_scores_gemma":[0.00019528117,0.000039847317,0.00060190546,0.000012889444,0.000009705762,0.0000019083575,0.0019984867,0.029791094,0.95561254,0.010919321,0.000696824,0.00012020748],"about_ca_topic_score_codex":0.00000252587,"about_ca_topic_score_gemma":0.000013015384,"teacher_disagreement_score":0.04697655,"about_ca_system_score_codex":0.00003442339,"about_ca_system_score_gemma":0.00003599482,"threshold_uncertainty_score":0.27054936},"labels":[],"label_agreement":null},{"id":"W3164582815","doi":"10.3390/app11114728","title":"Salt Cavern Exergy Storage Capacity Potential of UK Massively Bedded Halites, Using Compressed Air Energy Storage (CAES)","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Compressed air energy storage; Energy storage; Renewable energy; Environmental science; Electricity; Pumped-storage hydroelectricity; Waste management; Engineering; Distributed generation; Electrical engineering; Power (physics)","score_opus":0.01811553467480767,"score_gpt":0.20721396185114274,"score_spread":0.18909842717633507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164582815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96833014,0.0009360738,0.025930613,0.000045447552,0.00046588044,0.000098068755,0.000047051573,0.00053479883,0.0036119097],"genre_scores_gemma":[0.99274594,0.000034700806,0.007022675,0.000055335004,0.000064142274,0.000014211964,0.000009298902,0.000025302947,0.000028398379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818283,0.00002985684,0.0003527317,0.00044237226,0.00054567296,0.00044655777],"domain_scores_gemma":[0.9991915,0.00007898244,0.00012652567,0.00043560605,0.00008665019,0.00008068806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021011078,0.0002566483,0.00040883056,0.00020201669,0.00009973929,0.000049275346,0.00057142205,0.00018254077,0.00006983734],"category_scores_gemma":[0.000040166102,0.00025919263,0.000099398996,0.00077567674,0.0006626242,0.00012918364,0.00020183761,0.00019914923,0.000003449456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004162425,0.000017270746,0.00004701703,0.00003244193,0.000027988719,0.00002967152,0.0001301476,0.19014512,0.7980931,0.010891316,0.00023118877,0.00035059877],"study_design_scores_gemma":[0.0003973211,0.00002333916,0.0011993728,0.0000400099,0.000040847284,0.0000327979,0.0011722653,0.06388705,0.9292176,0.0026987598,0.0008042634,0.00048640074],"about_ca_topic_score_codex":0.00033569356,"about_ca_topic_score_gemma":0.00020378077,"teacher_disagreement_score":0.1311245,"about_ca_system_score_codex":0.00011832596,"about_ca_system_score_gemma":0.0000958176,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W3165596483","doi":"10.3390/app11114798","title":"A Self-Adjoint Coupled System of Nonlinear Ordinary Differential Equations with Nonlocal Multi-Point Boundary Conditions on an Arbitrary Domain","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Mathematical analysis; Fixed-point theorem; Nonlinear system; Domain (mathematical analysis); Boundary value problem; Ordinary differential equation; Differential equation; Physics","score_opus":0.050768898486135645,"score_gpt":0.3378477281862106,"score_spread":0.287078829700075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165596483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40517092,0.000012273289,0.59121466,0.00009634187,0.00012322902,0.0003538659,0.00005325609,0.0001322856,0.00284316],"genre_scores_gemma":[0.6160078,0.0000012995547,0.38375542,0.00003695284,0.000052748015,0.00007129381,0.000036379195,0.000014388451,0.0000237406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979859,0.00021239887,0.00049801863,0.0004329633,0.0005625419,0.0003081749],"domain_scores_gemma":[0.99825495,0.00080673955,0.00023881903,0.00040193397,0.00013692105,0.0001606551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005572226,0.0002201002,0.00044193023,0.00015136602,0.0005724934,0.00011985075,0.00027615993,0.000082971,0.00015070374],"category_scores_gemma":[0.00008581437,0.00016284794,0.00009645915,0.0007431307,0.0005119518,0.00014583668,0.00008124336,0.00019235355,0.00001553265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008567895,0.002842445,0.000029302699,0.00022436348,0.00010975772,0.000020120297,0.001038981,0.00011431242,0.020123392,0.9745116,0.000023881292,0.0008761508],"study_design_scores_gemma":[0.0051905266,0.002895831,0.0013059204,0.00058934884,0.0005772216,0.000096318996,0.021544224,0.8067193,0.03771745,0.12171035,0.00023150128,0.0014220085],"about_ca_topic_score_codex":0.000019107807,"about_ca_topic_score_gemma":0.000045629182,"teacher_disagreement_score":0.85280126,"about_ca_system_score_codex":0.000059755526,"about_ca_system_score_gemma":0.00038572674,"threshold_uncertainty_score":0.6640746},"labels":[],"label_agreement":null},{"id":"W3165731670","doi":"10.3390/app11114852","title":"A New Computational Method for Arabic Calligraphy Style Representation and Classification","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Calligraphy; Arabic; Style (visual arts); Computer science; Artificial intelligence; Natural language processing; Representation (politics); Set (abstract data type); Pattern recognition (psychology); Linguistics; Art; Painting; Literature; Visual arts; Programming language","score_opus":0.05514340961661588,"score_gpt":0.3481415503591823,"score_spread":0.2929981407425664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165731670","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004173321,0.00010563499,0.9930005,0.0033513957,0.000060136037,0.00020703727,0.0000018116508,0.00012859382,0.002727575],"genre_scores_gemma":[0.16388604,0.00001618482,0.83545893,0.00033872086,0.000030231584,0.000049201743,0.000008379123,0.0000026971777,0.00020961711],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988425,0.00003963996,0.00018286929,0.0005081218,0.00028347733,0.00014342103],"domain_scores_gemma":[0.9992077,0.0002986201,0.00010220028,0.00018876856,0.00013320678,0.00006951544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004797424,0.00007788622,0.000101035555,0.000096359385,0.00028243067,0.0003124182,0.00031764596,0.0000390077,0.0000068944464],"category_scores_gemma":[0.000051682455,0.000070308684,0.000038340233,0.0009549013,0.00009252114,0.0003218568,0.000064557265,0.00004557194,0.0000060027887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028425047,0.000017103695,0.00009092244,0.000006542089,0.000004680689,3.3919275e-7,0.00023719588,0.000030239515,0.033429336,0.7811452,0.0010251033,0.18401045],"study_design_scores_gemma":[0.0004148355,0.000069918446,0.013035122,0.0000100137795,0.000012061653,0.00002591736,0.00039417157,0.33272678,0.1445786,0.50236106,0.006101957,0.00026953284],"about_ca_topic_score_codex":0.00000896074,"about_ca_topic_score_gemma":0.0000029487805,"teacher_disagreement_score":0.33269656,"about_ca_system_score_codex":0.0000133094445,"about_ca_system_score_gemma":0.00019951959,"threshold_uncertainty_score":0.3012656},"labels":[],"label_agreement":null},{"id":"W3166832502","doi":"10.3390/app11115086","title":"A Microcomputed Tomographic Evaluation of Root Canal Morphology of Maxillary Second Premolars in a Pakistani Cohort","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Root canal; Apical foramen; Computed tomographic; Dentistry; Orthodontics; Endodontic therapy; Mathematics; Medicine; Computed tomography; Surgery","score_opus":0.02741010435239365,"score_gpt":0.3048312868144401,"score_spread":0.27742118246204645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166832502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993944,0.0005779809,0.0000328293,0.000015774827,0.00011835324,0.00022309298,0.000029302066,0.0000052516643,0.005053419],"genre_scores_gemma":[0.9990661,0.000005494764,0.0008202209,0.000018802868,0.0000079405945,0.000016752821,0.000017518092,0.0000045148,0.000042640662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853796,0.000086967426,0.0003341095,0.00030900512,0.00055279216,0.000179186],"domain_scores_gemma":[0.9993884,0.00006276034,0.00016632631,0.00017368037,0.00017073679,0.000038073285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000962799,0.0000892521,0.00023827059,0.0001746411,0.000052097526,0.000016696142,0.0001837133,0.000062814666,0.00026558383],"category_scores_gemma":[0.000021938835,0.00008066769,0.000054700817,0.0008954539,0.00021357031,0.000039598992,0.00006289686,0.00006717102,0.0000032255707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018523937,0.0001854351,0.8355316,0.00004105193,0.00010111366,0.00010880093,0.00019425686,0.00052783877,0.15957566,0.00250733,0.00010632679,0.0011020837],"study_design_scores_gemma":[0.0009744059,0.00004774719,0.90478307,0.000031509895,0.00008356489,0.00008722583,0.00040044813,0.00070834253,0.09091601,0.0018104856,0.0000524974,0.00010469017],"about_ca_topic_score_codex":0.0006196599,"about_ca_topic_score_gemma":0.017424272,"teacher_disagreement_score":0.06925149,"about_ca_system_score_codex":0.000044132004,"about_ca_system_score_gemma":0.00034185115,"threshold_uncertainty_score":0.97231525},"labels":[],"label_agreement":null},{"id":"W3167186137","doi":"10.3390/app11125432","title":"Left Atrial Flow Stasis in Patients Undergoing Pulmonary Vein Isolation for Paroxysmal Atrial Fibrillation Using 4D-Flow Magnetic Resonance Imaging","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Cumming School of Medicine, University of Calgary","keywords":"Medicine; Cardiology; Pulmonary vein; Blood stasis; Internal medicine; Ablation; Atrial fibrillation; Thrombus; Magnetic resonance imaging; Catheter ablation; Venous stasis; Radiology; Pathology","score_opus":0.042431709935474536,"score_gpt":0.3041303148535712,"score_spread":0.2616986049180967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167186137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98637515,0.0018396691,0.0073484452,0.0009756066,0.0010771758,0.0013295999,0.000015311634,0.000068522546,0.0009705145],"genre_scores_gemma":[0.9673761,0.00003261824,0.030905852,0.00006385277,0.001375615,0.0000010195398,0.0000946949,0.000016512844,0.00013369505],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981424,0.000055257686,0.00048085945,0.0005067892,0.00045751908,0.00035715965],"domain_scores_gemma":[0.99915504,0.00038136734,0.00015733302,0.00016074523,0.00009262309,0.00005291581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061621,0.00016789492,0.00029553013,0.00022004709,0.00040216363,0.0001524759,0.00008616789,0.0000666697,0.000082342165],"category_scores_gemma":[0.00032307787,0.00016492745,0.00019036316,0.00063596986,0.00011511671,0.0003235178,0.000079325466,0.000069796384,0.000006986046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059719454,0.00000569353,0.84404045,0.00005009047,0.00000965527,0.0000031515733,0.00015781788,0.03772406,0.0009008374,0.00047390626,0.000040047387,0.11599712],"study_design_scores_gemma":[0.0069165668,0.00019597307,0.29212698,0.00012613925,0.00016414892,0.000004765737,0.00043197666,0.6936703,0.0005577384,0.0014971691,0.00392671,0.00038156303],"about_ca_topic_score_codex":0.00001773594,"about_ca_topic_score_gemma":0.000029871997,"teacher_disagreement_score":0.6559462,"about_ca_system_score_codex":0.00012918598,"about_ca_system_score_gemma":0.0002864909,"threshold_uncertainty_score":0.6725546},"labels":[],"label_agreement":null},{"id":"W3167563164","doi":"10.3390/app11114931","title":"Superfluid Transition and Specific Heat of the 2D x-y Model: Monte Carlo Simulation","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Superfluidity; Specific heat; Monte Carlo method; Square lattice; Lattice (music); Dynamic Monte Carlo method; Transition temperature; Interpretation (philosophy); Helium-4","score_opus":0.016342233232991193,"score_gpt":0.23687820269485937,"score_spread":0.22053596946186818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167563164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420316,0.00013569724,0.012821937,0.0002496996,0.00006678975,0.00012217968,0.00002424767,0.000010210309,0.0023660604],"genre_scores_gemma":[0.9992871,0.000008753685,0.0005636895,0.00004426747,0.000052326108,0.000006633501,0.0000032489745,0.0000061329465,0.000027808535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918044,0.000022909935,0.0001639288,0.0002482156,0.00023500144,0.00014948167],"domain_scores_gemma":[0.99967164,0.000057901994,0.00002165883,0.00017229671,0.00004451496,0.000032013813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569606,0.00009015374,0.000119469376,0.000025587175,0.00019503408,0.000050011047,0.00013461526,0.000024133724,0.00003510052],"category_scores_gemma":[0.0000014532633,0.00006800229,0.000047679576,0.0002894172,0.00025649217,0.00012665073,0.000040572497,0.00007173485,0.0000024593094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005995788,0.00004127047,0.0029604842,0.000008831207,0.000008132838,1.7549642e-7,0.0020071778,0.8465947,0.08778853,0.058866847,0.000024999434,0.0016928486],"study_design_scores_gemma":[0.00017958083,0.000011666245,0.0011055454,0.0000111615245,0.000012832,4.20905e-7,0.0013135494,0.9749515,0.015901048,0.0063260146,0.00008627993,0.00010036757],"about_ca_topic_score_codex":0.00006353485,"about_ca_topic_score_gemma":0.000012197621,"teacher_disagreement_score":0.12835683,"about_ca_system_score_codex":0.000009666642,"about_ca_system_score_gemma":0.000074314485,"threshold_uncertainty_score":0.2773053},"labels":[],"label_agreement":null},{"id":"W3168154882","doi":"10.3390/app11115040","title":"Monitoring and Data Analysis in Small-Scale Landslide Physical Model","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landslide; Flume; Geology; Geotechnical engineering; Displacement (psychology)","score_opus":0.029807409014129725,"score_gpt":0.274431437582675,"score_spread":0.2446240285685453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168154882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98204976,0.00006184862,0.0008103748,0.00013879029,0.000023953646,0.000035881778,0.0000043901864,0.000013229402,0.016861755],"genre_scores_gemma":[0.99233687,0.0000702063,0.0073639858,0.000030124165,0.00002530018,0.0000035182798,0.0000049922305,0.0000027925544,0.00016222907],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897194,0.000012567805,0.000100800215,0.0005074135,0.00019814882,0.00020910846],"domain_scores_gemma":[0.9995845,0.00003804069,0.0000257348,0.0002855639,0.0000020936404,0.000064047614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031781947,0.000075040734,0.00014031043,0.000037868598,0.000143906,0.00007183803,0.00034896756,0.00003543083,0.000044352364],"category_scores_gemma":[0.000007584784,0.000054417564,0.000021377817,0.0010087643,0.00020927122,0.00013065239,0.00058222655,0.00009458328,0.000020335343],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075324706,0.000115213086,0.79769325,0.0000044431918,0.000041038773,0.000017098093,0.0014405078,0.15591373,0.024700947,0.0004687394,0.000074430805,0.019523041],"study_design_scores_gemma":[0.00037693398,0.0000167395,0.1767671,0.000011803088,0.00016396103,0.0000051156235,0.0011025164,0.806012,0.009741535,0.0051361383,0.00033829984,0.00032785337],"about_ca_topic_score_codex":0.00012602856,"about_ca_topic_score_gemma":0.0004900742,"teacher_disagreement_score":0.65009826,"about_ca_system_score_codex":0.000018316568,"about_ca_system_score_gemma":0.000016395012,"threshold_uncertainty_score":0.22190838},"labels":[],"label_agreement":null},{"id":"W3168670720","doi":"10.3390/app11125481","title":"Impacts of Material Orthotropy on Mechanical Behaviors of Asphalt Pavements","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Subgrade; Materials science; Anisotropy; Isotropy; Orthotropic material; Geotechnical engineering; Deflection (physics); Rut; Composite material; Modulus; Finite element method; Asphalt; Structural engineering; Geology; Engineering","score_opus":0.022637589280490193,"score_gpt":0.27937455912586956,"score_spread":0.25673696984537936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168670720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964229,0.000012326728,0.0002538406,0.000008870914,0.00034311519,0.00012191525,0.000010629721,0.000032288106,0.002794101],"genre_scores_gemma":[0.9983302,0.000015519472,0.0015628252,0.000020506792,0.000030632826,0.000013540325,0.000011273899,0.0000072771577,0.000008228071],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988698,0.000012442913,0.00028812894,0.00014782285,0.00049866195,0.0001831665],"domain_scores_gemma":[0.99968976,0.00002159489,0.00007364067,0.00013941858,0.000035404897,0.000040174415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003779837,0.00008837421,0.0001486419,0.00006515689,0.000044107455,0.000013185042,0.00014939121,0.00004110087,0.00037674606],"category_scores_gemma":[0.000009644277,0.00007939751,0.00002785436,0.0003051678,0.000076115895,0.00009641701,0.000032669814,0.000045502788,0.000014846828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008867936,0.000048367674,0.0011511242,0.00004084932,0.000009773278,7.853895e-7,0.00009660506,0.004129909,0.98864824,0.003792128,0.000056672074,0.0020167055],"study_design_scores_gemma":[0.00022012439,0.0001082114,0.004069443,0.000023758847,0.000013708759,4.6461562e-7,0.00017169533,0.002166246,0.99291414,0.00020914737,0.00002603379,0.00007703155],"about_ca_topic_score_codex":0.000005606264,"about_ca_topic_score_gemma":0.000012045072,"teacher_disagreement_score":0.004265923,"about_ca_system_score_codex":0.00002605632,"about_ca_system_score_gemma":0.0000540422,"threshold_uncertainty_score":0.4125105},"labels":[],"label_agreement":null},{"id":"W3169035839","doi":"10.3390/app11125532","title":"Phytoglycoproteins and Human Health: Current Knowledge and Future Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Nutraceutical; Glycosylation; Health benefits; Human health; Chemistry; Biology; Biochemistry; Biotechnology; Computational biology; Pharmacology; Medicine; Traditional medicine; Environmental health","score_opus":0.020757643027836246,"score_gpt":0.3177578976865948,"score_spread":0.29700025465875857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169035839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8909555,0.073093385,0.0072838115,0.005043603,0.00014482185,0.0010962192,0.00014126487,0.00005482243,0.02218654],"genre_scores_gemma":[0.99607146,0.00206643,0.0011000015,0.00018506842,0.00030041664,0.00014918997,0.000056150006,0.0000042491656,0.000067037276],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935967,0.000010240435,0.00009488947,0.00034027046,0.000056007724,0.00013891669],"domain_scores_gemma":[0.999733,0.000004934538,0.000031474698,0.00013485856,0.000017433083,0.00007834905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010284458,0.00007252164,0.00007396942,0.000015710633,0.000437494,0.000035707108,0.00008943026,0.000033597564,0.000006874032],"category_scores_gemma":[8.4358675e-7,0.0000639582,0.000013724471,0.00013050322,0.0001963215,0.000002147874,0.00005585961,0.000048933878,0.0000027111957],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032347014,0.00015798386,0.0007745717,0.00006537251,0.000013817459,1.8531799e-7,0.0001832442,0.0000016210312,0.5898015,0.15881231,0.0026183033,0.24756783],"study_design_scores_gemma":[0.0001759242,0.000033586373,0.005010456,0.000004650388,0.0000046134305,0.000010677542,0.00017648873,0.000003758615,0.025959956,0.0011819504,0.9673225,0.000115385774],"about_ca_topic_score_codex":0.0000041422827,"about_ca_topic_score_gemma":0.00012940612,"teacher_disagreement_score":0.9647043,"about_ca_system_score_codex":0.0000026235207,"about_ca_system_score_gemma":0.00009202426,"threshold_uncertainty_score":0.33648944},"labels":[],"label_agreement":null},{"id":"W3169696746","doi":"10.3390/app11115211","title":"Efficacy of an Acupressure Mat in Association with Therapeutic Exercise in the Management of Chronic Low Back Pain: A Prospective Randomized Controlled Study","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acupressure; Medicine; Physical therapy; Visual analogue scale; Rehabilitation; Quality of life (healthcare); McGill Pain Questionnaire; Physical medicine and rehabilitation; Low back pain; Randomized controlled trial; Alternative medicine; Surgery","score_opus":0.007682953913573939,"score_gpt":0.27347958207000816,"score_spread":0.26579662815643423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169696746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990811,0.00032710383,0.000052251835,0.00022886023,0.000016058111,0.006475359,2.7442013e-7,0.0000047064736,0.0020843728],"genre_scores_gemma":[0.99916595,0.000031083084,0.0002263313,0.000034044435,0.0000079018,0.0004592838,0.0000017843479,0.0000033095953,0.00007028968],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.998221,0.00054911955,0.00034692296,0.0002178355,0.000541871,0.00012326568],"domain_scores_gemma":[0.9987301,0.0008368414,0.00019183508,0.00016375897,0.00006249838,0.000014922475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065054586,0.000085077365,0.0006510482,0.00008349438,0.000032287924,0.000013966644,0.000105823536,0.00003123752,0.000022427539],"category_scores_gemma":[0.00007536625,0.000040639185,0.00006967202,0.0006844388,0.00017595984,0.00004361257,0.000013034608,0.00008067095,9.795444e-7],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.42836705,0.035754465,0.30845758,0.010100916,0.0030009567,0.000049923223,0.11827175,0.009038927,0.031718075,0.013536566,0.00003563574,0.041668158],"study_design_scores_gemma":[0.43700966,0.00083607866,0.5306794,0.0007215383,0.00024271467,2.45062e-7,0.025853518,0.003070145,0.00075508654,0.0007372601,0.0000012624399,0.00009308732],"about_ca_topic_score_codex":0.000021701671,"about_ca_topic_score_gemma":0.00007740594,"teacher_disagreement_score":0.22222184,"about_ca_system_score_codex":0.000059268736,"about_ca_system_score_gemma":0.00008155109,"threshold_uncertainty_score":0.2254675},"labels":[],"label_agreement":null},{"id":"W3169905285","doi":"10.3390/app11093819","title":"Inertial Flow of Viscoelastic Second-Grade Fluid in a Ciliated Channel under a Magnetic Field and Darcy’s Resistance","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Pressure gradient; Mechanics; Stream function; Hartmann number; Magnetic field; Inertial frame of reference; Physics; Darcy number; Reynolds number; Magnetohydrodynamics; Newtonian fluid; Fluid dynamics; Non-Newtonian fluid; Fictitious force; Classical mechanics; Magnetohydrodynamic drive; Vortex; Vorticity","score_opus":0.016633381709766817,"score_gpt":0.23300531401420724,"score_spread":0.2163719323044404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169905285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862328,0.0018906619,0.0016709119,0.0002508885,0.0001224461,0.00011166708,0.000005223275,0.000052037183,0.009663339],"genre_scores_gemma":[0.9988678,0.000029952831,0.000824392,0.000095531475,0.000018396608,0.000013678243,8.5163987e-7,0.0000061350097,0.00014327645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999221,0.000012316425,0.00020536523,0.0002033779,0.00017523645,0.00018269249],"domain_scores_gemma":[0.999599,0.0002245207,0.000020578687,0.00010064234,0.000024193525,0.00003108999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344173,0.00009477171,0.00016689715,0.00008727686,0.00005922041,0.000035879973,0.000090244685,0.00003986332,0.000050258506],"category_scores_gemma":[0.000042835785,0.0000883955,0.0000143422285,0.000532034,0.00014401902,0.000097714386,0.00005256251,0.000071767325,0.000003279544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081926,0.00013912782,0.002476981,0.0007642896,0.00008568383,0.000037714657,0.010929644,0.5256769,0.4319072,0.024201676,0.0017686296,0.0019302407],"study_design_scores_gemma":[0.005036155,0.00033900543,0.12446159,0.00046893887,0.0000819634,0.00001642866,0.01290829,0.62497795,0.19893993,0.02959155,0.001514382,0.0016638259],"about_ca_topic_score_codex":0.0000053314125,"about_ca_topic_score_gemma":0.0006837427,"teacher_disagreement_score":0.23296726,"about_ca_system_score_codex":0.000013831313,"about_ca_system_score_gemma":0.00003083773,"threshold_uncertainty_score":0.3604664},"labels":[],"label_agreement":null},{"id":"W3170221878","doi":"10.3390/app11115257","title":"Smart Topology Optimization Using Adaptive Neighborhood Simulated Annealing","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Simulated annealing; Computer science; Mathematical optimization; Convergence (economics); Heuristic; Topology optimization; Sensitivity (control systems); Algorithm; Finite element method; Mathematics; Artificial intelligence; Engineering","score_opus":0.02038770182204,"score_gpt":0.2397054644681985,"score_spread":0.2193177626461585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170221878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035168156,0.00028905921,0.9457888,0.000049981012,0.00067580247,0.00009496576,0.000003195802,0.0004492955,0.01748076],"genre_scores_gemma":[0.88617873,0.000021004682,0.113630176,0.00006426929,0.000059431197,0.0000041032395,0.0000075642733,0.000020255253,0.000014440266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990366,0.00001782145,0.00021520682,0.00027035276,0.00013854359,0.00032148787],"domain_scores_gemma":[0.9996273,0.000084650244,0.000031781678,0.00014256842,0.000054796026,0.000058899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013986607,0.00014292581,0.00016448951,0.00012535299,0.0002143386,0.000049568305,0.00015567057,0.00011219688,0.00020401416],"category_scores_gemma":[0.000030218273,0.0001585575,0.000026752665,0.0008250539,0.00017787535,0.00015828888,0.00004512282,0.00012322432,0.000010530075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013010082,0.000004820861,0.00021692512,0.000005014692,0.000015792253,0.000004351901,0.0001337136,0.9890334,0.0023343263,0.008011889,0.00001526054,0.00022317588],"study_design_scores_gemma":[0.00015454218,0.000009441913,0.00004809451,0.0000071957934,0.000011606546,0.000015548088,0.00035738363,0.99448293,0.00432953,0.00035656962,0.000050132858,0.00017704155],"about_ca_topic_score_codex":0.0000047549183,"about_ca_topic_score_gemma":0.0000030073547,"teacher_disagreement_score":0.8510106,"about_ca_system_score_codex":0.000054349246,"about_ca_system_score_gemma":0.000054143184,"threshold_uncertainty_score":0.6465787},"labels":[],"label_agreement":null},{"id":"W3170587055","doi":"10.3390/app11114901","title":"Hydrological Analysis of Extreme Rain Events in a Medium-Sized Basin","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Environmental science; Antecedent moisture; Precipitation; Hydrology (agriculture); Watershed; Drainage basin; Hydrological modelling; Soil water; Water content; Soil science; Runoff curve number; Climatology; Meteorology; Geology; Geography","score_opus":0.02699131050654371,"score_gpt":0.247661231478995,"score_spread":0.22066992097245128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170587055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95349747,0.000022531072,0.00017425622,0.0018564202,0.000037986167,0.000087659304,0.0000012639259,0.000012545743,0.044309855],"genre_scores_gemma":[0.9982805,0.000020957648,0.00083468406,0.00062220753,0.0000048374336,0.000021253903,0.0000032875043,0.000001625752,0.00021064561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998676,0.00008575771,0.00022983139,0.00040857258,0.00033221272,0.00026761982],"domain_scores_gemma":[0.9996235,0.0001240792,0.000067640205,0.00014693667,0.0000030165181,0.00003486951],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010130778,0.00009126637,0.00028006884,0.00012985614,0.00013060134,0.0000051339907,0.00029917216,0.00004813206,0.0018902525],"category_scores_gemma":[0.00005490786,0.000069559115,0.0000668,0.002119562,0.0007025189,0.00007179357,0.0003500362,0.00006652422,0.0000711519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029390056,0.00020371239,0.9666944,0.00000365158,0.00017469647,0.000018898314,0.0008272185,0.013893512,0.014873407,0.0019968122,0.0003005446,0.0009837351],"study_design_scores_gemma":[0.00040722522,0.000035853976,0.9841787,0.000002827721,0.00016285435,6.005351e-7,0.00038863835,0.003428468,0.0036784462,0.0068822517,0.00069057633,0.00014350977],"about_ca_topic_score_codex":0.00009747969,"about_ca_topic_score_gemma":0.0008513466,"teacher_disagreement_score":0.04478302,"about_ca_system_score_codex":0.000025591837,"about_ca_system_score_gemma":0.000012649052,"threshold_uncertainty_score":0.9990221},"labels":[],"label_agreement":null},{"id":"W3171814294","doi":"10.3390/app11115150","title":"Metagenomic Discovery and Characterization of Multi-Functional and Monomodular Processive Endoglucanases as Biocatalysts","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Agriculture and Agri-Food Canada; University of Guelph; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Swine Innovation Porc","keywords":"Cellulase; Thermotoga maritima; Xylan; Cellulose; Lignocellulosic biomass; Chemistry; Cell wall; Biochemistry; Gene","score_opus":0.016126430787672588,"score_gpt":0.2035280700559455,"score_spread":0.1874016392682729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171814294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980291,0.0005090343,0.0009793706,0.00007238346,0.00010668669,0.00006668667,0.0000073275087,0.000021480017,0.00020791528],"genre_scores_gemma":[0.9992573,0.00022203433,0.00034757415,0.000031803615,0.000026036205,0.000005709938,0.000020156589,0.0000030839537,0.000086274566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958915,0.0000047761882,0.00008281422,0.00017781422,0.000077640056,0.00006779508],"domain_scores_gemma":[0.9998737,0.000008570158,0.00002681935,0.00004751497,0.00001711508,0.00002628975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006914941,0.000058775484,0.00007520966,0.0000491132,0.00007406621,0.000042468255,0.000032339918,0.000024225996,0.000014150546],"category_scores_gemma":[0.0000062451086,0.000049857106,0.000009429952,0.00015342118,0.00015405731,0.00019770948,0.000026020156,0.00002734245,0.0000027208425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002775982,0.000009319196,0.00041695457,0.000062447514,0.000009908891,4.772356e-7,0.00009199288,0.000062432395,0.99682957,0.00032015302,0.000005423742,0.002188526],"study_design_scores_gemma":[0.0001471479,0.000010778517,0.0126458295,0.000006179116,0.000011461869,0.000010901838,0.0003916262,0.001987763,0.9841648,0.000082177896,0.00046100066,0.00008038795],"about_ca_topic_score_codex":0.000005990393,"about_ca_topic_score_gemma":0.0000018546976,"teacher_disagreement_score":0.012664843,"about_ca_system_score_codex":0.00000636971,"about_ca_system_score_gemma":0.000028924083,"threshold_uncertainty_score":0.20331137},"labels":[],"label_agreement":null},{"id":"W3171919836","doi":"10.3390/app11115284","title":"3D In Situ Stress Estimation by Inverse Analysis of Tectonic Strains","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Social Science Fund of China","keywords":"Three gorges; Inverse; Boundary (topology); Stress (linguistics); Displacement (psychology); Geology; Scale (ratio); In situ; Tectonics; Stress field; Geotechnical engineering; Computer science; Structural engineering; Mathematics; Engineering; Seismology; Geometry; Mathematical analysis; Geography; Finite element method; Cartography","score_opus":0.01490634271192427,"score_gpt":0.23537063268971356,"score_spread":0.2204642899777893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171919836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9430035,0.00008096811,0.052200098,0.000009032774,0.000035367993,0.00003114092,0.000007205493,0.00002215039,0.004610536],"genre_scores_gemma":[0.99554586,0.000020548956,0.0043974565,0.0000098676255,0.0000026353225,0.000004170856,0.000011645991,0.0000025757251,0.000005247133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951607,0.0000038458334,0.00012248487,0.00011913997,0.00013206039,0.00010640825],"domain_scores_gemma":[0.9998616,0.000013385596,0.000018352288,0.00007628431,0.0000107726355,0.000019592315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013462592,0.000046110814,0.00010615281,0.00014076474,0.000038606293,0.000023292603,0.000086463166,0.000024659452,0.000019042602],"category_scores_gemma":[0.000006705994,0.000045927427,0.000021691047,0.0010768522,0.000020374782,0.000049735296,0.000017107377,0.000040251216,0.0000012864833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.4332642e-7,0.000006391045,0.000026762524,0.000006506956,0.000016609878,3.5282994e-7,0.00020751907,0.7796601,0.21638912,0.0012035919,0.000011731852,0.002471175],"study_design_scores_gemma":[0.000045032637,0.0000027669516,0.00008239041,0.000005123639,0.00002556102,6.843356e-8,0.00037408553,0.8798913,0.11929027,0.0002258678,0.000009804134,0.00004776239],"about_ca_topic_score_codex":0.000019254425,"about_ca_topic_score_gemma":0.000625981,"teacher_disagreement_score":0.10023118,"about_ca_system_score_codex":0.000016039608,"about_ca_system_score_gemma":0.000028096927,"threshold_uncertainty_score":0.18728662},"labels":[],"label_agreement":null},{"id":"W3173215294","doi":"10.3390/app11135850","title":"Computer-Assisted Detection of Cemento-Enamel Junction in Intraoral Ultrasonographs","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; China Scholarship Council; Mitacs; Children's Hospital Foundation; Stollery Children’s Hospital Foundation; Alberta Innovates - Technology Futures; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Enamel paint; Cementum; Artificial intelligence; Preprocessor; Computer vision; Computer science; Materials science; Dentistry; Medicine; Dentin","score_opus":0.01754647458584678,"score_gpt":0.2562346759918355,"score_spread":0.23868820140598873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173215294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98587716,0.00011047697,0.006860512,0.000017706227,0.0007571848,0.000081123406,0.0000019393956,0.000035358706,0.0062585315],"genre_scores_gemma":[0.99833417,0.000010138951,0.0015187729,0.00005734131,0.000039929615,0.000009552874,0.000005421245,0.0000037687673,0.000020918438],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99893963,0.000036253325,0.00024377414,0.00029274385,0.0002910929,0.00019648134],"domain_scores_gemma":[0.999676,0.000045944867,0.00009529178,0.00011680196,0.000030152614,0.00003579409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029726553,0.00008570818,0.00013515954,0.0002633579,0.00012670594,0.00009179806,0.00014698083,0.000033109944,0.000051959483],"category_scores_gemma":[0.00000730337,0.00008402144,0.00007139379,0.0019160601,0.00025735944,0.00020725577,0.000034261717,0.000099466066,0.000014802095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034343495,0.0002971146,0.13944156,0.00004211435,0.000028111976,0.00002560154,0.0004570427,0.00022268067,0.7150894,0.0019174039,0.00015260752,0.14229201],"study_design_scores_gemma":[0.00075560843,0.000086473665,0.7184515,0.000044371314,0.000019568924,0.000080777725,0.0030817965,0.0020775483,0.27389026,0.0010132557,0.0002921862,0.00020665656],"about_ca_topic_score_codex":0.00009674608,"about_ca_topic_score_gemma":0.00038253644,"teacher_disagreement_score":0.57900995,"about_ca_system_score_codex":0.000020329055,"about_ca_system_score_gemma":0.000025780806,"threshold_uncertainty_score":0.3426295},"labels":[],"label_agreement":null},{"id":"W3173447450","doi":"10.3390/app11125659","title":"On a Vector towards a Novel Hearing Aid Feature: What Can We Learn from Modern Family, Voice Classification and Deep Learning Algorithms","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Covenant Health; Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Speech recognition; Convolutional neural network; Hearing aid; Feature (linguistics); Artificial intelligence; Identification (biology); Field (mathematics); Support vector machine; Machine learning; Engineering; Linguistics; Mathematics","score_opus":0.04812927990324196,"score_gpt":0.2632184773172103,"score_spread":0.21508919741396837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173447450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21513271,0.003228509,0.7673579,0.009393456,0.00049325335,0.00014793879,0.0000017738288,0.00021326794,0.0040312232],"genre_scores_gemma":[0.9300934,0.00022452667,0.06785807,0.0015356168,0.00010920745,0.0000167419,0.000003726579,0.000008696901,0.00015001034],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980018,0.00003761136,0.00015557776,0.00089516223,0.00055837247,0.00035147456],"domain_scores_gemma":[0.9993012,0.00015408198,0.000117089956,0.00025418712,0.000057216464,0.00011624939],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003715161,0.00016997383,0.00018887088,0.00008221392,0.0007432114,0.001701218,0.0005467604,0.000081272425,0.000004553284],"category_scores_gemma":[0.000047497182,0.00015245492,0.000032196207,0.00072360155,0.0001933981,0.00072475127,0.00027882325,0.00031420472,0.000011852552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041394396,0.0000393258,0.00007976988,0.000013711792,0.000009388271,0.0000053334506,0.005959155,0.00088423694,0.09074624,0.009781682,0.000036870504,0.89244014],"study_design_scores_gemma":[0.00067056215,0.00008962113,0.011546309,0.00023765837,0.000015666505,0.000019632786,0.0053553,0.9430881,0.017531259,0.017579231,0.003265659,0.0006009759],"about_ca_topic_score_codex":0.000072974806,"about_ca_topic_score_gemma":0.000046393827,"teacher_disagreement_score":0.9422039,"about_ca_system_score_codex":0.000045041525,"about_ca_system_score_gemma":0.00022650263,"threshold_uncertainty_score":0.9993351},"labels":[],"label_agreement":null},{"id":"W3173863841","doi":"10.3390/app11136029","title":"Dynamic Stability of Orthotropic Viscoelastic Rectangular Plate of an Arbitrarily Varying Thickness","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Engineering and Agricultural Innovations","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministry of Science and Higher Education of the Russian Federation","keywords":"Viscoelasticity; Orthotropic material; Mathematics; Mathematical analysis; Deflection (physics); Plate theory; Quadrature (astronomy); Galerkin method; Nonlinear system; Materials science; Structural engineering; Classical mechanics; Physics; Boundary value problem; Composite material; Finite element method; Engineering","score_opus":0.020599328377754016,"score_gpt":0.22689835057094224,"score_spread":0.20629902219318821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173863841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979857,0.00007600451,0.00008821116,0.0001568122,0.00007365791,0.00007349934,0.000019284102,0.000036676225,0.0014901602],"genre_scores_gemma":[0.9972844,0.0000074906225,0.0026148404,0.000024911858,0.000019786645,0.000006041554,0.000029147426,4.3264282e-7,0.00001295289],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903595,0.00002886839,0.00025708837,0.0002654726,0.00023903583,0.00017358521],"domain_scores_gemma":[0.9995181,0.00016973563,0.00010295401,0.000059519392,0.000108617685,0.000041088148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026047337,0.000091744325,0.00017321577,0.0000125512015,0.00016435505,0.000028001967,0.00022986604,0.00005221615,0.000094358824],"category_scores_gemma":[0.000047168065,0.000034505352,0.000042682183,0.0012010958,0.00018946013,0.0001226065,0.000043702094,0.000090976355,0.0000015881324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032682308,0.000055089033,0.00051449524,0.000013767491,0.0000043184455,9.035377e-7,0.00008452471,0.0004843095,0.9920449,0.0040725716,0.0000014846239,0.0027203648],"study_design_scores_gemma":[0.00018399768,0.00033488584,0.20822746,0.00008461924,0.000030600557,0.000019421099,0.0027383456,0.003841169,0.779109,0.0048739742,0.00015083881,0.00040566333],"about_ca_topic_score_codex":0.000056925153,"about_ca_topic_score_gemma":0.00020287425,"teacher_disagreement_score":0.21293588,"about_ca_system_score_codex":0.000008970837,"about_ca_system_score_gemma":0.000023549854,"threshold_uncertainty_score":0.14070873},"labels":[],"label_agreement":null},{"id":"W3174046134","doi":"10.3390/app11135806","title":"Automatic Wheels and Camera Calibration for Monocular and Differential Mobile Robots","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"JetBrains Research","keywords":"Computer vision; Artificial intelligence; Computer science; Robot calibration; Camera auto-calibration; Robot; Calibration; Camera resectioning; Mobile robot; Position (finance); Process (computing); Robot kinematics; Mathematics","score_opus":0.010763506370452742,"score_gpt":0.21716663134071856,"score_spread":0.20640312497026583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174046134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7443589,0.00025187124,0.25480792,0.000039379367,0.00008062973,0.0001712057,0.000002471775,0.00005876074,0.00022885155],"genre_scores_gemma":[0.9921442,0.000043238673,0.0076917442,0.000030520805,0.000026604404,0.00003474476,0.00000987009,0.000006493132,0.00001254872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956673,0.000006164034,0.000094060786,0.00014249561,0.00008373573,0.00010683254],"domain_scores_gemma":[0.99984443,0.00004102129,0.000012793974,0.000052989442,0.000011779115,0.00003698601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005956123,0.00006365474,0.00008576729,0.00002864886,0.00012473832,0.00012670984,0.00003206149,0.000031142346,0.000014211123],"category_scores_gemma":[0.0000060539833,0.000057662142,0.000010352141,0.00010419279,0.00006480088,0.000070842216,0.000012282962,0.000022131462,5.434105e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022638862,0.000023191602,0.00040743628,0.00019183148,0.00002283707,0.0000016672492,0.00075091346,0.7652464,0.17588633,0.017551318,0.0002266133,0.039689206],"study_design_scores_gemma":[0.00013876944,0.000016375376,0.00036708682,0.0000065357162,0.000009460465,0.0000015826955,0.00012710817,0.9754474,0.02273426,0.0009994936,0.0000717842,0.00008015146],"about_ca_topic_score_codex":0.0000027199392,"about_ca_topic_score_gemma":0.000006464186,"teacher_disagreement_score":0.24778533,"about_ca_system_score_codex":0.0000059028102,"about_ca_system_score_gemma":0.000012342083,"threshold_uncertainty_score":0.2351394},"labels":[],"label_agreement":null},{"id":"W3176470375","doi":"10.3390/app11135798","title":"Nonparametric Bayesian Learning of Infinite Multivariate Generalized Normal Mixture Models and Its Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Taif University","keywords":"Mixture model; Nonparametric statistics; Pattern recognition (psychology); Artificial intelligence; Multivariate statistics; Computer science; Bayesian probability; Support vector machine; Classifier (UML); Machine learning; Mathematics; Statistics","score_opus":0.02906831461288434,"score_gpt":0.2858745349169517,"score_spread":0.25680622030406736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176470375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006141003,0.0010253179,0.9781816,0.0002790841,0.000058067377,0.0002114883,0.000002514286,0.000066530265,0.014034374],"genre_scores_gemma":[0.5297024,0.00008112291,0.46990353,0.00014556557,0.000024064631,0.000036196438,0.0000013445174,0.000004328737,0.000101428675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824625,0.0001276964,0.00030476565,0.00062833837,0.0003652963,0.00032763564],"domain_scores_gemma":[0.99896604,0.0002962117,0.00017298531,0.0003053184,0.00012730845,0.00013214702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084596884,0.00016244919,0.0002697656,0.0002173175,0.00037923103,0.0001766054,0.00066432526,0.00009708969,0.000010629431],"category_scores_gemma":[0.00005538919,0.00014129594,0.000053744956,0.00217265,0.00014796083,0.00043035657,0.00034280724,0.0002033994,0.0000042759675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023687132,0.000034230332,0.000034626733,0.000019473557,0.000010226807,0.0000020907853,0.00059021957,0.0035738866,0.027387071,0.9128633,0.00001189789,0.055470593],"study_design_scores_gemma":[0.00043623507,0.000041692245,0.00016881317,0.000014659827,0.000016114414,0.000023545299,0.000054826673,0.80530596,0.03825136,0.15441978,0.0009641927,0.00030280824],"about_ca_topic_score_codex":0.000012844885,"about_ca_topic_score_gemma":0.000002827363,"teacher_disagreement_score":0.80173206,"about_ca_system_score_codex":0.0000093632825,"about_ca_system_score_gemma":0.00016492701,"threshold_uncertainty_score":0.57618815},"labels":[],"label_agreement":null},{"id":"W3176852835","doi":"10.3390/app11136079","title":"A Survey for Recent Techniques and Algorithms of Geolocation and Target Tracking in Wireless and Satellite Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Geolocation; Computer science; Satellite; GNSS applications; Wireless; Tracking (education); Satellite system; Kalman filter; Algorithm; Communications satellite; Global Positioning System; Real-time computing; Telecommunications; Engineering; Artificial intelligence; Aerospace engineering","score_opus":0.026367361425190902,"score_gpt":0.25923909335069906,"score_spread":0.23287173192550814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176852835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550438,0.00804227,0.035532106,0.000054715303,0.000078946156,0.00039128977,0.000013638581,0.00015888868,0.00068435306],"genre_scores_gemma":[0.9939927,0.002807618,0.0031483157,0.000004006845,0.0000056963963,0.00002953969,0.0000054583234,0.000003868091,0.0000028328675],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956334,0.000011302973,0.0001338332,0.00013473268,0.00006175414,0.000095067444],"domain_scores_gemma":[0.9997896,0.000092516195,0.000023555875,0.000044605837,0.000037441798,0.000012259053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049830345,0.00005436783,0.00011655464,0.000074226664,0.000045146524,0.000040735773,0.00004099333,0.000051538114,3.9254644e-7],"category_scores_gemma":[0.000025117932,0.00004947517,0.0000034424236,0.0002695648,0.00014636116,0.000059754806,0.000019277428,0.000030908435,3.6079474e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013718356,0.000028680675,0.07123594,0.00084522937,0.000018236886,0.0000028727866,0.0018696206,0.001610301,0.04025947,0.039366893,0.0000338962,0.8447151],"study_design_scores_gemma":[0.00045696337,0.00006879305,0.034891218,0.0001395897,0.000007694383,0.000015566655,0.0037917853,0.1356317,0.8194344,0.003614929,0.0016171141,0.00033023307],"about_ca_topic_score_codex":0.000030071687,"about_ca_topic_score_gemma":0.000057842615,"teacher_disagreement_score":0.8443849,"about_ca_system_score_codex":0.000007805332,"about_ca_system_score_gemma":0.000011462529,"threshold_uncertainty_score":0.20175388},"labels":[],"label_agreement":null},{"id":"W3177241466","doi":"10.3390/app11136072","title":"Comparing Three Machine Learning Techniques for Building Extraction from a Digital Surface Model","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Support vector machine; Feature extraction; Machine learning; Classifier (UML); Transfer of learning; Deep learning; Pattern recognition (psychology)","score_opus":0.03400489982777282,"score_gpt":0.2754224364825094,"score_spread":0.2414175366547366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177241466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6140069,0.000021316435,0.3592272,0.00014909642,0.000019747687,0.00012471466,0.000004677633,0.000110075634,0.026336264],"genre_scores_gemma":[0.8119199,0.0000035172545,0.18785056,0.000035508492,0.00002346684,0.000004874118,0.000013221671,0.0000070449373,0.00014184504],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990014,0.000007035353,0.00014228767,0.00041247244,0.00023166586,0.0002051524],"domain_scores_gemma":[0.99961007,0.00012061809,0.00007213935,0.0001387667,0.000008134847,0.000050297578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023537035,0.00009506569,0.00011357567,0.000015033865,0.000578491,0.00021865452,0.00017895785,0.000039028553,0.00003166648],"category_scores_gemma":[0.000026261388,0.0000888211,0.000037916103,0.0002667394,0.00019872836,0.00022260728,0.00011528339,0.000112428796,0.000032241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071320105,0.000044240835,0.012632829,0.0000020667846,0.0000053783824,5.712363e-7,0.00021089849,0.16686465,0.7769021,0.0022527305,0.00012985125,0.040947564],"study_design_scores_gemma":[0.0000849322,0.000012124517,0.0014388472,0.000007948819,0.000008176629,0.0000036387823,0.00014053506,0.83693916,0.13990596,0.017303396,0.0039879736,0.00016733668],"about_ca_topic_score_codex":0.00023788231,"about_ca_topic_score_gemma":0.00018889981,"teacher_disagreement_score":0.67007446,"about_ca_system_score_codex":0.000051545612,"about_ca_system_score_gemma":0.000019009414,"threshold_uncertainty_score":0.4449344},"labels":[],"label_agreement":null},{"id":"W3177709504","doi":"10.3390/app11146366","title":"Development of Sensing Algorithms for Object Tracking and Predictive Safety Evaluation of Autonomous Excavators","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Excavator; Collision; Lidar; Computer science; Key (lock); Collision avoidance; Algorithm; Point cloud; Tracking (education); Real-time computing; Engineering; Simulation; Artificial intelligence; Civil engineering; Computer security; Remote sensing","score_opus":0.05022010757814936,"score_gpt":0.2821618940072328,"score_spread":0.23194178642908342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177709504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82027966,0.00024145457,0.17203611,0.000005431545,0.00018498435,0.00030266208,0.00000579527,0.00002517414,0.0069187065],"genre_scores_gemma":[0.9637325,0.0000036387512,0.036224753,0.0000021543688,0.000017705914,0.00000964731,0.0000030622964,0.0000041586577,0.0000024170297],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992227,0.000014789752,0.00026708838,0.00011974246,0.00027732895,0.000098373515],"domain_scores_gemma":[0.9996685,0.00011624505,0.000059333794,0.00005491759,0.00008009617,0.00002094885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013348896,0.00005871974,0.0001455008,0.000040253555,0.0000814354,0.000011464866,0.00004311537,0.000028631115,0.0000043469986],"category_scores_gemma":[0.000036646103,0.000053294352,0.000014514089,0.00017342075,0.00006601366,0.000043570304,0.000011625567,0.00002055126,2.991752e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006053882,0.000016212613,0.0002183972,0.0003268549,0.0000891838,2.5996002e-7,0.029463392,0.13531882,0.10195853,0.00065351714,0.000017888147,0.7319309],"study_design_scores_gemma":[0.00028090048,0.000013415816,0.0026897823,0.00008212234,0.000027530872,0.000003944642,0.0056472206,0.78457046,0.20608754,0.00032285147,0.00017976233,0.00009447784],"about_ca_topic_score_codex":0.0000023092518,"about_ca_topic_score_gemma":0.0000090578515,"teacher_disagreement_score":0.73183644,"about_ca_system_score_codex":0.00003523858,"about_ca_system_score_gemma":0.0001698977,"threshold_uncertainty_score":0.21732807},"labels":[],"label_agreement":null},{"id":"W3177956460","doi":"10.3390/app10186350","title":"In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Diabetes Management and Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Reinforcement learning; Blood sugar regulation; Computer science; Artificial intelligence; Machine learning; Reinforcement; Control (management); Task (project management); Diabetes mellitus; Medicine; Engineering","score_opus":0.060311703943360453,"score_gpt":0.33379550222726206,"score_spread":0.2734837982839016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177956460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956354,0.00006472764,0.00015258779,0.00036201716,0.000025021118,0.0010528571,2.0523247e-7,0.000008727333,0.002698451],"genre_scores_gemma":[0.9991584,0.00000527723,0.00059654325,0.00011634552,0.00004773679,0.00002637005,0.000017197995,0.0000052392825,0.00002692598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866605,0.000022598255,0.00016526974,0.00019087034,0.0007465975,0.00020864318],"domain_scores_gemma":[0.99956876,0.00004087987,0.00009250937,0.000066460205,0.000177133,0.000054227425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082233443,0.00006511552,0.00013029216,0.00018504918,0.000086663604,0.000017658595,0.000074568015,0.000020007019,0.000028182529],"category_scores_gemma":[0.00016537496,0.000047041165,0.000017515966,0.0008663255,0.000120944474,0.00009816865,0.00003551587,0.0000465704,0.0000027354015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009437817,0.00048559075,0.34075356,0.0008408988,0.00014508085,3.3515778e-7,0.0038564715,0.41809127,0.07134147,0.01872146,0.00022012244,0.14459997],"study_design_scores_gemma":[0.00486299,0.002782657,0.11746476,0.00013669442,0.00015393143,2.394323e-8,0.0005119315,0.84051126,0.031033047,0.0014151279,0.00092753576,0.00020001791],"about_ca_topic_score_codex":0.0000069535977,"about_ca_topic_score_gemma":0.0000013868694,"teacher_disagreement_score":0.42242002,"about_ca_system_score_codex":0.00006576388,"about_ca_system_score_gemma":0.00013361237,"threshold_uncertainty_score":0.19182831},"labels":[],"label_agreement":null},{"id":"W3180565565","doi":"10.3390/app11136232","title":"Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Photonics; Computer science; Silicon on insulator; Silicon; Silicon photonics; Optoelectronics; Electronic engineering; Materials science; Engineering","score_opus":0.025716060812190824,"score_gpt":0.2601914235928488,"score_spread":0.23447536278065798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180565565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9028989,0.0012741032,0.011961005,0.0029882288,0.0020791423,0.00041166705,8.913633e-7,0.0006552402,0.07773082],"genre_scores_gemma":[0.9813389,0.000045555393,0.015973473,0.0017490699,0.00028191356,0.0000210516,0.0000027467916,0.000010687556,0.0005765589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740183,0.0000755527,0.00033955535,0.00089640805,0.00048578935,0.00080083957],"domain_scores_gemma":[0.9989276,0.00018287722,0.00014918168,0.00042778414,0.00013758069,0.00017500133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501069,0.0002288561,0.00026503258,0.00006872956,0.00093863206,0.00073672086,0.0017108368,0.00008488341,0.00009558854],"category_scores_gemma":[0.000043209504,0.00017387749,0.00007913879,0.0032385162,0.00020544545,0.0004663696,0.00034663928,0.00034853976,0.000095800286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031105792,0.00023340914,0.001908471,0.00007049329,0.00007333825,0.00032959683,0.0011395862,0.65743065,0.021264624,0.16614626,0.012918143,0.13845436],"study_design_scores_gemma":[0.0003672898,0.00015254076,0.00022537609,0.00007768078,0.000008148748,0.00012628234,0.0003335615,0.8962968,0.06830916,0.013539799,0.01990852,0.00065483805],"about_ca_topic_score_codex":0.000031223986,"about_ca_topic_score_gemma":0.00002979178,"teacher_disagreement_score":0.2388662,"about_ca_system_score_codex":0.000026291715,"about_ca_system_score_gemma":0.00046004896,"threshold_uncertainty_score":0.7219294},"labels":[],"label_agreement":null},{"id":"W3181273188","doi":"10.3390/app11146386","title":"A Novel Approach of Unit Conversion in the Lattice Boltzmann Method","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lattice Boltzmann methods; Mesoscopic physics; Computer science; Statistical physics; Algorithm; Mathematical optimization; Applied mathematics; Mathematics; Physics; Mechanics","score_opus":0.062208507198620484,"score_gpt":0.3007332885180651,"score_spread":0.2385247813194446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181273188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45204645,0.00076179503,0.1458284,0.0004261426,0.00022462747,0.00042654053,0.000009265432,0.00014397055,0.4001328],"genre_scores_gemma":[0.95070475,0.000010949946,0.049079653,0.00012935794,0.000017481814,0.0000121378425,0.0000018155872,0.0000049014943,0.000038927432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991742,0.000029987743,0.00017217883,0.00016531428,0.00030118573,0.00015714738],"domain_scores_gemma":[0.9993344,0.00042484244,0.00003059932,0.0001572128,0.000036883877,0.000016066972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008387222,0.0000809166,0.0001410959,0.00006756611,0.00009414123,0.00002924447,0.00025151487,0.00003287754,0.000012831713],"category_scores_gemma":[0.00003374297,0.000057220237,0.00002440942,0.00095517334,0.00014361674,0.00008793466,0.000057664653,0.000094272706,0.000009518549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001375478,0.00027079956,0.0048952764,0.00035165556,0.00009249619,0.0000066190482,0.021289734,0.6023418,0.09069993,0.275208,0.00081213686,0.0040177987],"study_design_scores_gemma":[0.0027399897,0.00006241635,0.06693397,0.00007221187,0.0001375262,0.00004647431,0.094403416,0.73179436,0.07646722,0.006134784,0.02025893,0.0009487151],"about_ca_topic_score_codex":0.000011818531,"about_ca_topic_score_gemma":0.000008837804,"teacher_disagreement_score":0.4986583,"about_ca_system_score_codex":0.000009580536,"about_ca_system_score_gemma":0.000026207705,"threshold_uncertainty_score":0.23333736},"labels":[],"label_agreement":null},{"id":"W3181997525","doi":"10.3390/app11136201","title":"Dimension-Wise Particle Swarm Optimization: Evaluation and Comparative Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Particle swarm optimization; Dimension (graph theory); Maxima and minima; Meta-optimization; Mathematical optimization; Benchmark (surveying); Differential evolution; Multi-swarm optimization; Computer science; Convergence (economics); Algorithm; Imperialist competitive algorithm; Mathematics","score_opus":0.09690670564451638,"score_gpt":0.36220047255427756,"score_spread":0.2652937669097612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181997525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020139279,0.00031878176,0.9660314,0.0010992442,0.00008261214,0.00022155115,0.000001295426,0.000060101152,0.012045745],"genre_scores_gemma":[0.6862927,0.000025105412,0.31336987,0.00014768324,0.000013111899,0.000030203313,0.0000056911485,0.000001309976,0.0001143035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977015,0.00019559164,0.00022981988,0.00060360803,0.001030006,0.00023947406],"domain_scores_gemma":[0.9987244,0.0002778753,0.00008327165,0.00035305676,0.00042657906,0.00013482488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015639117,0.00009844861,0.00019907032,0.00016073984,0.00044797952,0.0004898587,0.00038673822,0.00002894394,0.00025475628],"category_scores_gemma":[0.00014968487,0.00008583706,0.000033371736,0.0043415832,0.00025961493,0.00036530168,0.00027802316,0.000065550936,0.00002884354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017301024,0.00005242286,0.00045331387,0.0000021984602,0.00005775314,0.0000029426042,0.00083355344,0.9235996,0.00032359632,0.07053111,0.000108037784,0.004033719],"study_design_scores_gemma":[0.00021664058,0.00001750914,0.00091641134,0.0000016752296,0.000057907608,0.0000030771648,0.00032077308,0.9913343,0.006107973,0.000830768,0.00008409086,0.000108881075],"about_ca_topic_score_codex":0.000005630285,"about_ca_topic_score_gemma":0.000008064747,"teacher_disagreement_score":0.66615343,"about_ca_system_score_codex":0.000026624793,"about_ca_system_score_gemma":0.00025316657,"threshold_uncertainty_score":0.47237185},"labels":[],"label_agreement":null},{"id":"W3182664121","doi":"10.3390/app11146308","title":"Study of Possible Frequency Dependence of Small AC Fields on Magnetic Flux Trapping in Niobium by Polarized Neutron Imaging","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; TRIUMF","funders":"","keywords":"Niobium; Trapping; Condensed matter physics; Superconductivity; Magnetic flux; Flux pinning; Magnetic field; Flux (metallurgy); Materials science; Annealing (glass); Nuclear magnetic resonance; Physics; High-temperature superconductivity","score_opus":0.015770558009154334,"score_gpt":0.2530555669751741,"score_spread":0.23728500896601978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182664121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97129774,0.00003675379,0.0003971771,0.0001168402,0.000029492308,0.00019689779,0.00000765663,0.0000061300225,0.027911326],"genre_scores_gemma":[0.999326,8.1816944e-7,0.00051862054,0.000028669596,0.000020451189,0.000026797083,0.00000456083,0.000005289575,0.000068817506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911875,0.00002258427,0.00023132697,0.00028141963,0.00017033603,0.00017556753],"domain_scores_gemma":[0.99957937,0.000059083497,0.00010260391,0.00019831842,0.000030398025,0.00003019945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015013042,0.000089258814,0.00016434595,0.000051802246,0.00010101315,0.000034274435,0.00026893546,0.000014414864,0.00010205628],"category_scores_gemma":[0.0000015491773,0.0000852572,0.000033895296,0.0005123839,0.00009247312,0.00005630152,0.000055324756,0.00011216588,0.000004559562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005419122,0.0010721735,0.04181685,0.00001033387,0.000010380047,7.831407e-7,0.0013345162,0.00019820569,0.8609994,0.08548444,0.000068177666,0.008999314],"study_design_scores_gemma":[0.0053718635,0.001074342,0.1603583,0.00020852924,0.00011487742,0.0000016276028,0.06518895,0.0032270413,0.61381465,0.1491158,0.0002457902,0.0012782443],"about_ca_topic_score_codex":0.0005635916,"about_ca_topic_score_gemma":0.000040983035,"teacher_disagreement_score":0.24718475,"about_ca_system_score_codex":0.0000059133067,"about_ca_system_score_gemma":0.00007296325,"threshold_uncertainty_score":0.34766877},"labels":[],"label_agreement":null},{"id":"W3183341871","doi":"10.3390/app11156836","title":"Non-Thermal Atmospheric Pressure Plasma-Conditioned Root Dentin Promotes Attraction and Attachment of Primary Human Dental Pulp Stem Cells in Real-Time Ex Vivo","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Dentin; Pulp (tooth); Viability assay; Chemistry; Dental pulp stem cells; Ex vivo; Dentistry; Smear layer; Adhesion; Biophysics; Materials science; Biomedical engineering; Cell; Biochemistry; In vitro; Medicine; Biology","score_opus":0.014610806040686182,"score_gpt":0.2625329987559999,"score_spread":0.2479221927153137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183341871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98881596,0.000060830065,0.000030352787,0.000064527,0.000036395155,0.0005109809,0.000017003971,0.000023889135,0.010440067],"genre_scores_gemma":[0.9968356,0.000024495272,0.0023234175,0.000027425325,0.00003288295,0.00007003556,0.00002864616,0.000008783264,0.0006487483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876666,0.000017726505,0.00030062223,0.0003702106,0.00033826352,0.0002065382],"domain_scores_gemma":[0.9994314,0.00012748766,0.00014737733,0.00016538898,0.000045310542,0.00008303976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025495802,0.00012401993,0.00025672937,0.000032171614,0.00015657,0.00004277097,0.00009755247,0.000075571545,0.0001322644],"category_scores_gemma":[0.0000054607845,0.00011402577,0.00003057661,0.0003921836,0.00023383353,0.00010837245,0.000064227315,0.000094465366,0.00002292678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021700054,0.00035562174,0.0380193,0.000093869196,0.000017379542,0.000013023728,0.00018568445,0.00017610901,0.95993876,0.00033575506,0.00019102506,0.0006517417],"study_design_scores_gemma":[0.0009552342,0.00012934307,0.21428546,0.00007441065,0.0000828485,0.00002902749,0.0005070895,0.0012723171,0.7822613,0.00006090892,0.00020197063,0.0001400677],"about_ca_topic_score_codex":0.00004911189,"about_ca_topic_score_gemma":0.00005843201,"teacher_disagreement_score":0.17767747,"about_ca_system_score_codex":0.00004042227,"about_ca_system_score_gemma":0.0001268842,"threshold_uncertainty_score":0.46498358},"labels":[],"label_agreement":null},{"id":"W3183551280","doi":"10.3390/app11146519","title":"In Vivo Evaluation of Biocompatibility of Three Biomaterials Used in Endodontics for Prosthetic Purposes in Complex Rehabilitation Treatment","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biocompatibility; Dentistry; Endodontics; Biomedical engineering; Connective tissue; Mineral trioxide aggregate; Biomaterial; Medicine; Materials science; Pathology","score_opus":0.14180121088079506,"score_gpt":0.3845516919759876,"score_spread":0.24275048109519254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183551280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795455,0.00006852009,0.000030403044,0.00007783285,0.00009105208,0.0014236851,0.00006868828,0.0000037753207,0.0002814929],"genre_scores_gemma":[0.9958961,0.0000032423604,0.0038133068,0.000003757452,0.000005884342,0.0002483796,0.00001742785,0.0000045357438,0.0000073775577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983947,0.00013385367,0.00057248253,0.00031789838,0.00040294544,0.00017811393],"domain_scores_gemma":[0.99910474,0.00036995334,0.00019343008,0.000195104,0.0001178793,0.000018898592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016346865,0.00010167625,0.00034168817,0.00019957963,0.00003214872,0.000019634135,0.00010938029,0.00004609715,0.000055155593],"category_scores_gemma":[0.00018339694,0.00008268262,0.00004935431,0.0005816231,0.00019754027,0.00007200707,0.000027060343,0.0000127520425,0.0000011211486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007589104,0.0010896852,0.52464926,0.00011088653,0.00001308214,0.000002747481,0.0009382486,0.0008801785,0.46644896,0.0038509218,0.00000773191,0.001932407],"study_design_scores_gemma":[0.003753394,0.00032665321,0.5199575,0.000059034795,0.000032636664,0.000001151355,0.00077992654,0.0035891836,0.45476994,0.016616542,0.00001764486,0.000096416436],"about_ca_topic_score_codex":0.0006305245,"about_ca_topic_score_gemma":0.025007227,"teacher_disagreement_score":0.024376702,"about_ca_system_score_codex":0.00018507091,"about_ca_system_score_gemma":0.00019092971,"threshold_uncertainty_score":0.99278384},"labels":[],"label_agreement":null},{"id":"W3184160465","doi":"10.3390/app11156712","title":"Two-Dimensional Full-Waveform Joint Inversion of Surface Waves Using Phases and Z/H Ratios","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; University of Toronto; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Inversion (geology); Surface wave; Geology; Earth structure; Tomography; Waveform; Lithosphere; Algorithm; Optics; Physics; Computer science; Seismology; Telecommunications; Radar","score_opus":0.03620205227644976,"score_gpt":0.23751601755197643,"score_spread":0.20131396527552667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184160465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525607,0.00042223977,0.000060229515,0.00019731451,0.00007700395,0.000043841897,0.00001709142,0.000008527181,0.0039176997],"genre_scores_gemma":[0.99141854,0.000031160704,0.008192523,0.00024159669,0.000032123353,6.430759e-8,0.000022538294,0.0000011002297,0.000060376453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989717,0.000022822784,0.00019417798,0.00028389625,0.0003414517,0.000185934],"domain_scores_gemma":[0.9995999,0.00009809581,0.00009403847,0.00009175033,0.000036651967,0.00007957096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032882008,0.00009158959,0.00017620527,0.000059124697,0.00031584993,0.00005982155,0.000090973546,0.000025871697,0.00084265997],"category_scores_gemma":[0.000016969718,0.0000671339,0.000042143824,0.00046594747,0.00036628565,0.00016378643,0.000028736496,0.00004751479,0.000013066159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004529016,0.00007118809,0.052905425,0.000047318845,0.00007742658,0.00002513857,0.0006000939,0.34064174,0.58768934,0.0021212774,0.000254849,0.015520891],"study_design_scores_gemma":[0.0006249528,0.00013655062,0.013953306,0.000048984566,0.00007709111,0.000051582952,0.004236243,0.87632906,0.09708291,0.006912738,0.00017344739,0.00037311256],"about_ca_topic_score_codex":0.0008043401,"about_ca_topic_score_gemma":0.00022704052,"teacher_disagreement_score":0.5356873,"about_ca_system_score_codex":0.0000024445062,"about_ca_system_score_gemma":0.00010987735,"threshold_uncertainty_score":0.9226536},"labels":[],"label_agreement":null},{"id":"W3184598308","doi":"10.3390/app11146522","title":"Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Cloud computing; Facial recognition system; Encryption; Artificial intelligence; Robot; Cryptography; Robotics; Server; Task (project management); Computer security; Computer vision; Machine learning; Pattern recognition (psychology); Computer network; Operating system; Engineering","score_opus":0.09451384714210888,"score_gpt":0.3198806749618205,"score_spread":0.22536682781971162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184598308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7019667,0.00008883319,0.2864286,0.00083799777,0.0003132706,0.0006405525,0.0000014583878,0.00014571838,0.009576874],"genre_scores_gemma":[0.9548771,0.0000035319918,0.044803005,0.00016598371,0.000049320028,0.000051957177,0.000002762916,0.0000037485588,0.000042590375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978843,0.00017452161,0.00029645412,0.00073185656,0.0005758177,0.00033709413],"domain_scores_gemma":[0.99905205,0.00027458867,0.00011359719,0.00039306536,0.00009473145,0.00007196768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000982943,0.00014703657,0.00021171036,0.00015950533,0.00024907457,0.00041087143,0.0010637513,0.000033891123,0.000030601273],"category_scores_gemma":[0.00007431118,0.00014038802,0.000030924373,0.0018725796,0.00013498956,0.0007802683,0.00055242865,0.00018231665,0.00013152885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014088776,0.007473632,0.019005554,0.00016502604,0.00013250786,0.00050619035,0.2001059,0.3116835,0.2480426,0.11660317,0.003369408,0.09277161],"study_design_scores_gemma":[0.0048184395,0.0011502942,0.040063586,0.0002619031,0.000041257757,0.000058960064,0.048045207,0.61841387,0.14976798,0.13478984,0.0005646016,0.0020240827],"about_ca_topic_score_codex":0.000056692457,"about_ca_topic_score_gemma":0.00016094018,"teacher_disagreement_score":0.30673033,"about_ca_system_score_codex":0.0000738541,"about_ca_system_score_gemma":0.00021644811,"threshold_uncertainty_score":0.5724857},"labels":[],"label_agreement":null},{"id":"W3184859757","doi":"10.3390/app11146491","title":"Change in Sediment Provenance on the Inner Slope of the Chukchi Rise and Their Paleoenvironmental Implications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Polar Research Institute; Ministry of Oceans and Fisheries","keywords":"Geology; Provenance; Oceanography; Glacial period; Ice sheet; Meltwater; Marine isotope stage; Stadial; Last Glacial Maximum; Interglacial; Paleontology","score_opus":0.03230012740637452,"score_gpt":0.2374649676555938,"score_spread":0.20516484024921927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184859757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97515506,0.0006388329,6.953982e-7,0.009411124,0.00004408032,0.00024190311,0.000013234289,0.0000026744829,0.014492405],"genre_scores_gemma":[0.9991764,0.00011368126,0.000030276617,0.00060936797,0.00001183013,0.000020541103,0.0000023448124,5.9917437e-7,0.00003497483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992976,0.00009481104,0.00009738818,0.00020653971,0.000113956514,0.0001896943],"domain_scores_gemma":[0.99947727,0.0002802253,0.00004254808,0.00017044463,0.0000052668206,0.000024271343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004822393,0.00006191794,0.000079947094,0.00002453749,0.00031702063,0.000013336576,0.00028014617,0.00003438429,0.0002752489],"category_scores_gemma":[0.000017517075,0.00002811202,0.000015914191,0.00032782624,0.0010497426,0.0000383795,0.000043420838,0.00012990939,0.000023424776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004062996,0.00001588799,0.99264705,0.000002579484,0.0000022159331,4.248778e-7,0.0006702856,0.000036371923,0.00020870034,0.004381846,0.00001654153,0.002014005],"study_design_scores_gemma":[0.00007153203,0.000026198439,0.9938351,0.0000063103603,0.0000012145166,0.00000696572,0.00064794265,0.00020978249,0.002061053,0.0027411617,0.00035473838,0.000038031456],"about_ca_topic_score_codex":0.00004499742,"about_ca_topic_score_gemma":0.0019087911,"teacher_disagreement_score":0.024021333,"about_ca_system_score_codex":5.8316783e-7,"about_ca_system_score_gemma":0.000033613644,"threshold_uncertainty_score":0.38678202},"labels":[],"label_agreement":null},{"id":"W3186970411","doi":"10.3390/app11146529","title":"A Predictive Model of Chlorophyll a in Western Lake Erie Based on Artificial Neural Network","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Queen's University","funders":"","keywords":"Environmental science; Water quality; Nutrient; Chlorophyll a; Forcing (mathematics); Artificial neural network; Statistical model; Algal bloom; Climatology; Meteorology; Hydrology (agriculture); Phytoplankton; Statistics; Ecology; Machine learning; Computer science; Geography; Mathematics; Biology","score_opus":0.019657622997787977,"score_gpt":0.22240142774761767,"score_spread":0.2027438047498297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186970411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92011493,0.00000322363,0.0010033906,0.00079298095,0.000098915276,0.00018482681,0.00000904795,0.000018587505,0.077774115],"genre_scores_gemma":[0.9977987,0.0000023205462,0.00065499754,0.001356824,0.000018306446,0.000041982785,0.000002196895,0.000002737209,0.00012198218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902356,0.000023471295,0.00014968344,0.00031983663,0.00023736779,0.00024606904],"domain_scores_gemma":[0.9997331,0.00007131823,0.00005594198,0.000111738875,0.0000034997502,0.00002440272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029040963,0.00008264767,0.00013192555,0.000027087332,0.00016830755,0.000012405862,0.00018213518,0.00003222959,0.0003126582],"category_scores_gemma":[0.000016986121,0.000072114606,0.000022432176,0.00045429746,0.0005984411,0.00007152469,0.00018093953,0.00007198115,0.000031615997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041045438,0.00009746566,0.09169869,0.0000031904403,0.0000027829294,0.000004616097,0.00022864468,0.90521455,0.0003036845,0.0009942857,0.0010410192,0.00037005264],"study_design_scores_gemma":[0.00032902963,0.00020671297,0.32966393,0.000011907529,0.00001294369,2.8859952e-7,0.00035474953,0.6585991,0.0009307761,0.00924402,0.00045925716,0.00018732372],"about_ca_topic_score_codex":0.000006301723,"about_ca_topic_score_gemma":0.0137507245,"teacher_disagreement_score":0.24661545,"about_ca_system_score_codex":0.000019097986,"about_ca_system_score_gemma":0.000017486105,"threshold_uncertainty_score":0.76732266},"labels":[],"label_agreement":null},{"id":"W3187403386","doi":"10.3390/app11157123","title":"Theoretical Global Warming Impact Evaluation of Medium and High Temperature Heat Pumps Using Low GWP Refrigerants","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Energimyndigheten","keywords":"Refrigerant; Global-warming potential; Global warming; Environmental science; Coefficient of performance; Environmental engineering; Materials science; Thermodynamics; Climate change; Greenhouse gas; Heat exchanger; Ecology; Physics","score_opus":0.017982805553213778,"score_gpt":0.29402363329405623,"score_spread":0.27604082774084243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187403386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972257,0.00025251735,0.00031074596,0.00014345533,0.00014657696,0.000090337686,0.000010786919,0.00011701469,0.0017028367],"genre_scores_gemma":[0.99762344,0.000024968362,0.0022830132,0.000019963732,0.000030272373,0.0000062783643,0.0000067916326,0.000004297053,9.503897e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999062,0.00002650767,0.0001544076,0.00018722267,0.00040646773,0.00016336993],"domain_scores_gemma":[0.9997063,0.000038567432,0.000019629606,0.00011851069,0.00008146432,0.000035472058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051645836,0.00009811217,0.00013481839,0.000049154783,0.00016170912,0.00010029618,0.00010468304,0.0000870192,0.00012886882],"category_scores_gemma":[0.00007529569,0.00007592376,0.000023343144,0.0004387893,0.00039458813,0.0001255829,0.00003391531,0.00008352268,0.0000018708648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054407324,0.000022444865,0.0010931416,0.00003747847,0.000033409415,0.0000040321243,0.00020880262,0.14489084,0.6937579,0.15394491,0.00007077389,0.0059308],"study_design_scores_gemma":[0.00045835992,0.00003059086,0.0066208825,0.00009022214,0.0000424593,0.000038197,0.0009895593,0.29999673,0.62222856,0.0692501,0.000006731816,0.00024759132],"about_ca_topic_score_codex":0.000005994123,"about_ca_topic_score_gemma":0.0000046274135,"teacher_disagreement_score":0.15510589,"about_ca_system_score_codex":0.00006229051,"about_ca_system_score_gemma":0.000118696604,"threshold_uncertainty_score":0.30960813},"labels":[],"label_agreement":null},{"id":"W3187913699","doi":"10.3390/app11167256","title":"Direct Measurement and Modeling of Intraglottal, Subglottal, and Vocal Fold Collision Pressures during Phonation in an Individual with a Hemilaryngectomy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; Agencia Nacional de Investigación y Desarrollo","keywords":"Phonation; Vocal folds; Larynx; Articulatory phonetics; Fold (higher-order function); Acoustics; Vocal tract; Stroboscope; Pressure sensor; Medicine; Physics; Computer science; Anatomy; Audiology; Optics","score_opus":0.04582000958314803,"score_gpt":0.27671810891946247,"score_spread":0.23089809933631444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187913699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996919,0.0012414644,0.00007085681,0.00016141153,0.00001028506,0.00020629686,0.0000019131287,0.000014256649,0.0013745364],"genre_scores_gemma":[0.9988006,0.0001116523,0.0009942167,0.00005450979,0.000011581527,0.000014952657,0.0000037978302,0.0000050974263,0.000003643675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880195,0.00001913139,0.00015253738,0.0003006181,0.0005771245,0.00014866694],"domain_scores_gemma":[0.9997244,0.000021908434,0.000039517996,0.00008160569,0.00006976582,0.000062836385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048366634,0.00008655389,0.00018192676,0.00010722987,0.00009998714,0.000043095686,0.000052556858,0.00003960933,0.0000039402826],"category_scores_gemma":[0.00003232397,0.0000671245,0.000009609993,0.00033545142,0.00015739306,0.00016175967,0.000040458708,0.000068418216,1.0489944e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008166825,0.00091362005,0.2788164,0.0007270816,0.00013280062,0.00007649974,0.0106287,0.010187041,0.6882334,0.0008650704,0.000054938315,0.00854779],"study_design_scores_gemma":[0.008122414,0.0011435348,0.34185183,0.0007564589,0.00025430718,0.00010490355,0.019457689,0.03780111,0.5893237,0.0005382631,0.00006564365,0.00058016536],"about_ca_topic_score_codex":0.00008015578,"about_ca_topic_score_gemma":0.00076094293,"teacher_disagreement_score":0.09890967,"about_ca_system_score_codex":0.000013933401,"about_ca_system_score_gemma":0.0001283688,"threshold_uncertainty_score":0.27372578},"labels":[],"label_agreement":null},{"id":"W3188024100","doi":"10.3390/app11157118","title":"Genetic Deletion of Interleukin-15 Is Not Associated with Major Structural Changes Following Experimental Post-Traumatic Knee Osteoarthritis in Rats","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Osteoarthritis; Synovitis; Medicine; Cartilage; Interleukin; Pathogenesis; Inflammation; Articular cartilage; Articular cartilage damage; Pathophysiology; Pathology; Immunology; Cytokine; Anatomy; Arthritis","score_opus":0.017267022784344208,"score_gpt":0.2610678711331558,"score_spread":0.2438008483488116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188024100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756724,0.0007805025,0.0000030357587,0.00017471092,0.00014139274,0.00046084193,0.000011338234,0.000027458658,0.00083349034],"genre_scores_gemma":[0.99764895,0.0000035515095,0.0017500689,0.00036017253,0.000025515412,0.000071690294,0.000030464058,0.000013006064,0.00009656634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99862844,0.000031355034,0.00023549798,0.0003530838,0.0004572854,0.00029434412],"domain_scores_gemma":[0.99958885,0.000048607137,0.000101800615,0.00013686343,0.00005165704,0.000072219744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001324222,0.00016429799,0.00033863203,0.00013643688,0.00010917785,0.000038519636,0.000081528786,0.00006765083,0.00015287082],"category_scores_gemma":[0.00001981654,0.00013391236,0.000061259925,0.0004302025,0.00014704991,0.00008254959,0.00004083656,0.000080817175,0.000007073132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001062451,0.00010669433,0.0056730257,0.000021079126,0.00003396789,0.00015327465,0.0049636336,0.0000020915231,0.9675135,0.00023586751,0.000004263324,0.021186363],"study_design_scores_gemma":[0.004431665,0.004136081,0.016332591,0.00043976787,0.00007273169,0.00006769747,0.012267519,0.000037726222,0.9619292,0.0000893663,0.000004875302,0.00019075422],"about_ca_topic_score_codex":0.00004582368,"about_ca_topic_score_gemma":0.0012741954,"teacher_disagreement_score":0.020995608,"about_ca_system_score_codex":0.000068313486,"about_ca_system_score_gemma":0.00011774755,"threshold_uncertainty_score":0.54607874},"labels":[],"label_agreement":null},{"id":"W3189925280","doi":"10.3390/app11156970","title":"Dual-Arm Peg-in-Hole Assembly Using DNN with Double Force/Torque Sensor","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Torque; Robotic arm; Robot; Computer science; Dual (grammatical number); Task (project management); Controller (irrigation); Simulation; Control engineering; Artificial intelligence; Engineering","score_opus":0.03886071380835431,"score_gpt":0.2629581909405924,"score_spread":0.2240974771322381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189925280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91997147,0.00006796994,0.014572574,0.000061327904,0.00013842316,0.000098824035,1.3329276e-7,0.00014089895,0.064948365],"genre_scores_gemma":[0.9944094,0.0000031903273,0.0051580155,0.000057130386,0.000062714054,0.000006806639,0.000001945785,0.000013961588,0.00028684438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991235,0.000010236788,0.00013650692,0.0002286052,0.00023328247,0.00026783108],"domain_scores_gemma":[0.9997378,0.000051219176,0.000025848769,0.00011372677,0.000020952348,0.000050427596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020411883,0.000104270766,0.00012431557,0.000087202636,0.00015892474,0.00013158383,0.00008591535,0.000041008174,0.00007230916],"category_scores_gemma":[0.0000069993703,0.000092633294,0.000018406525,0.0006205236,0.000061394814,0.00015364807,0.000023012375,0.00012778613,0.000032486267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037892107,0.000008152548,0.0020906997,0.0000117180225,0.000004017718,0.000015110911,0.00030687416,0.9466252,0.046926953,0.0037756315,0.000023671051,0.00020820163],"study_design_scores_gemma":[0.0010528128,0.000034670265,0.0067966715,0.000060781247,0.000012859563,0.00004336061,0.003206924,0.9236982,0.06230796,0.00022513676,0.002068268,0.0004923512],"about_ca_topic_score_codex":0.000026714992,"about_ca_topic_score_gemma":0.00012479251,"teacher_disagreement_score":0.07443791,"about_ca_system_score_codex":0.00004286741,"about_ca_system_score_gemma":0.00005930433,"threshold_uncertainty_score":0.3777476},"labels":[],"label_agreement":null},{"id":"W3189950886","doi":"10.3390/app11156938","title":"Energy-Efficient Word-Serial Processor for Field Multiplication and Squaring Suitable for Lightweight Authentication Schemes in RFID-Based IoT Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Elliptic curve cryptography; Multiplication (music); Radio-frequency identification; Authentication (law); Cryptography; Embedded system; Efficient energy use; Computer hardware; Computer security; Encryption; Public-key cryptography; Engineering","score_opus":0.017559337490152396,"score_gpt":0.26696890370026555,"score_spread":0.24940956621011315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189950886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06669416,0.00020741651,0.9311953,0.00097395846,0.00006967714,0.0006589597,0.000012423225,0.00006296073,0.00012510034],"genre_scores_gemma":[0.80453855,0.0000051732623,0.19353418,0.00018485055,0.00005095881,0.0016534427,0.000023859686,0.0000037357645,0.0000052611927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986281,0.000013797179,0.00023559437,0.00065649446,0.00018589951,0.00028013313],"domain_scores_gemma":[0.9989105,0.0004914502,0.00010272055,0.0003277103,0.0001064605,0.000061145714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328924,0.00010928115,0.00012798022,0.00015012064,0.00046291115,0.00033358874,0.0005071345,0.000069529815,0.0000026067974],"category_scores_gemma":[0.00006580728,0.00010382855,0.000039411967,0.0010380611,0.00009821222,0.00015076225,0.00010181476,0.000049181403,8.392761e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017662975,0.00019484264,0.00025123745,0.00006773115,0.000003503283,8.139624e-8,0.0003636242,0.0006054966,0.020077366,0.9469543,0.000048577444,0.03141555],"study_design_scores_gemma":[0.0011306002,0.00007435569,0.00062796235,0.000031692314,0.000013695792,0.0000011222895,0.0002858474,0.57369953,0.34262958,0.06382722,0.017359335,0.0003190357],"about_ca_topic_score_codex":0.00001551898,"about_ca_topic_score_gemma":0.000101439095,"teacher_disagreement_score":0.8831271,"about_ca_system_score_codex":0.00001712929,"about_ca_system_score_gemma":0.00016774525,"threshold_uncertainty_score":0.42340052},"labels":[],"label_agreement":null},{"id":"W3190421921","doi":"10.3390/app11157090","title":"Diagnostic Performance of Magnetic Resonance Imaging for Preoperative Local Staging of Penile Cancer: A Systematic Review and Meta-Analysis","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Genital Health and Disease","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Magnetic resonance imaging; Gold standard (test); Urethra; Meta-analysis; Penile cancer; Radiology; Predictive value; Diagnostic accuracy; Nuclear medicine; Urology; Surgery; Penis; Pathology; Internal medicine","score_opus":0.06776787316916244,"score_gpt":0.38124007292547973,"score_spread":0.3134721997563173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190421921","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003869238,0.99499875,0.000050144736,0.000059897982,0.0000130903,0.0044809673,0.00019356106,0.000006221775,0.00015867382],"genre_scores_gemma":[0.027129978,0.9692593,0.00047241285,0.00021486718,0.0000089180085,0.002743318,0.000024460523,0.0000110553265,0.00013567792],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9976518,0.000103296865,0.0010630322,0.0004995864,0.0004125028,0.00026974687],"domain_scores_gemma":[0.99772847,0.00097432325,0.00059881,0.00033093872,0.00020461886,0.00016282249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096410606,0.00027080232,0.0056474996,0.00019733672,0.00011187805,0.000016489364,0.00019951412,0.000039286355,0.0001085035],"category_scores_gemma":[0.00033670338,0.00016521644,0.0007097216,0.0013502374,0.00041653574,0.000052388434,0.000062942876,0.000099986835,0.0000013071146],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032044395,0.000028828916,0.00003838725,0.9888672,0.00096979714,0.0000017366706,0.00006476092,0.0000054755965,8.682535e-8,0.00009709223,0.000029405881,0.009894016],"study_design_scores_gemma":[0.00016101207,0.00015284764,0.000018399936,0.05520763,0.9422458,0.000011603914,0.00024065876,0.0004249625,0.0000056183653,0.000006131805,0.0013015601,0.00022378197],"about_ca_topic_score_codex":0.000051641597,"about_ca_topic_score_gemma":0.000008757741,"teacher_disagreement_score":0.941276,"about_ca_system_score_codex":0.000035874597,"about_ca_system_score_gemma":0.0009966376,"threshold_uncertainty_score":0.6737331},"labels":[],"label_agreement":null},{"id":"W3192373326","doi":"10.3390/app11157110","title":"CBCT Comparison of Dentoskeletal Effects of Haas-Type and Hyrax-Type Expanders Using Deciduous Teeth as Anchorage: A Randomized Clinical Trial","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hyrax; Molar; Medicine; Dentistry; Statistical significance; Orthodontics; Internal medicine","score_opus":0.08271224962915512,"score_gpt":0.42509783895180747,"score_spread":0.34238558932265234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192373326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925172,0.0013301115,0.0015278325,0.0000132590985,0.002110399,0.0006241002,0.0000027225306,0.000020073629,0.0018543307],"genre_scores_gemma":[0.99646324,0.00015139562,0.0030857155,0.00004770243,0.00015524376,0.000005322209,0.00000498022,0.000012031172,0.00007438698],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9969852,0.0004150248,0.0010307329,0.0004936817,0.00078874035,0.00028663728],"domain_scores_gemma":[0.9967153,0.0020725573,0.0005741277,0.00026645997,0.0002249652,0.00014656276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027511723,0.000186663,0.0011781026,0.00010942844,0.00017863102,0.0001103695,0.00023953499,0.0001777517,0.00004379951],"category_scores_gemma":[0.0031325337,0.00015591313,0.00021484547,0.000869487,0.0012507777,0.00010073824,0.00019245103,0.0002092105,0.000008071981],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.27992862,0.0028823665,0.5375275,0.0008376177,0.0010180419,0.00038791992,0.002574102,0.00042461234,0.10881438,0.028868992,0.00065407925,0.036081795],"study_design_scores_gemma":[0.8506107,0.0030072373,0.023235088,0.0003384056,0.0019444355,0.00010304301,0.0034256983,0.007110344,0.10281797,0.0051778816,0.0008517092,0.0013774897],"about_ca_topic_score_codex":0.00012742564,"about_ca_topic_score_gemma":0.00010682047,"teacher_disagreement_score":0.5706821,"about_ca_system_score_codex":0.000011289699,"about_ca_system_score_gemma":0.0004429109,"threshold_uncertainty_score":0.6357953},"labels":[],"label_agreement":null},{"id":"W3193458352","doi":"10.3390/app11167638","title":"Basic Chemical Composition and Concentration of Selected Bioactive Compounds in Leaves of Black, Red and White Currant","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministerstwo Edukacji i Nauki","keywords":"Trolox; Polyphenol; DPPH; ABTS; Antioxidant; Chemistry; Food science; Composition (language); Ribes; Botany; Biology; Biochemistry","score_opus":0.014295198171024075,"score_gpt":0.2526361667007049,"score_spread":0.2383409685296808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193458352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966277,0.000107926746,0.000034605222,0.00026096232,0.0000074807945,0.00009473426,0.000004309537,0.000005255342,0.0028570453],"genre_scores_gemma":[0.99931926,0.00006142467,0.00056805223,0.00002524448,0.000010717611,0.0000023615767,0.000008378542,0.000001792554,0.0000027977792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994703,0.000012786919,0.00014456827,0.00015649952,0.00013064063,0.000085214175],"domain_scores_gemma":[0.9997503,0.000064080945,0.00006707794,0.000038808696,0.000053001346,0.000026690628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008877547,0.000054027703,0.00019463101,0.000034022916,0.000022926488,0.000008811246,0.000021886126,0.000031410465,0.0000045484458],"category_scores_gemma":[0.000014538087,0.00004603511,0.000010832812,0.00031296836,0.00070517237,0.000060432823,0.000017340983,0.000055264783,6.971675e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007561456,0.000079104146,0.01913103,0.00005957703,0.0000064315805,8.4487516e-7,0.00059173384,9.331339e-7,0.97914803,0.0006958507,0.000011122553,0.00019971865],"study_design_scores_gemma":[0.000577622,0.000048318376,0.050327506,0.0001026593,0.000013073419,0.0000100125,0.00088553486,0.00042210068,0.947278,0.00028741505,0.000002425069,0.000045304616],"about_ca_topic_score_codex":0.000005445332,"about_ca_topic_score_gemma":0.0000022185045,"teacher_disagreement_score":0.031870008,"about_ca_system_score_codex":0.00000819445,"about_ca_system_score_gemma":0.000066249166,"threshold_uncertainty_score":0.2598237},"labels":[],"label_agreement":null},{"id":"W3193635235","doi":"10.3390/app11167736","title":"Deep Learning Applications in Geosciences: Insights into Ichnological Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bioturbation; Computer science; Convolutional neural network; Artificial intelligence; Field (mathematics); Deep learning; Ichnology; Geology; Machine learning; Trace fossil; Paleontology; Mathematics","score_opus":0.014718606599536856,"score_gpt":0.23235371135922603,"score_spread":0.21763510475968917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193635235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8886388,0.0016372445,0.027025642,0.0006926775,0.00007818978,0.0001699452,0.0000010424709,0.0002673482,0.08148913],"genre_scores_gemma":[0.99038196,0.00014008064,0.008665972,0.0006502129,0.000017789896,0.000007201343,0.000031512245,9.944903e-7,0.0001042583],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985367,0.000060804094,0.00020677302,0.00054185087,0.000361529,0.00029232586],"domain_scores_gemma":[0.9994727,0.00018907456,0.0000664416,0.0001644314,0.000030534,0.00007681303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046521984,0.00010794861,0.00018844825,0.00041808296,0.0006022524,0.00014024836,0.0004743471,0.00006701156,0.0005964573],"category_scores_gemma":[0.000054989287,0.00008008706,0.000058590056,0.0050147693,0.0006353351,0.00018924188,0.000037716698,0.00019645593,0.00009802158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003024342,0.000045588542,0.8144959,0.0000066213734,0.000021557515,0.000012056187,0.0013695123,0.022959553,0.00047219344,0.009010727,0.00008065509,0.15152259],"study_design_scores_gemma":[0.00023331011,0.00011570891,0.32395756,0.000012431578,0.00008563186,0.000006993623,0.022694232,0.52883893,0.009218239,0.06276669,0.05139798,0.00067228556],"about_ca_topic_score_codex":0.0014501857,"about_ca_topic_score_gemma":0.0014768298,"teacher_disagreement_score":0.50587934,"about_ca_system_score_codex":0.000007428839,"about_ca_system_score_gemma":0.000072192466,"threshold_uncertainty_score":0.6530789},"labels":[],"label_agreement":null},{"id":"W3193844673","doi":"10.3390/app11062672","title":"Electrifying with High-Temperature Water Electrolysis to Produce Syngas from Wood via Oxy-Gasification, Leading to Superior Carbon Conversion Yield for Methanol Synthesis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Syngas; Water-gas shift reaction; Waste management; Fossil fuel; Synthetic fuel; Carbon fibers; Greenhouse gas; Wood gas generator; Methanol; Biofuel; Integrated gasification combined cycle; Syngas to gasoline plus; Yield (engineering); Environmental science; Pulp and paper industry; Hydrogen production; Steam reforming; Chemistry; Coal; Materials science; Hydrogen; Catalysis; Organic chemistry; Engineering","score_opus":0.012534644944998239,"score_gpt":0.22191160766434584,"score_spread":0.2093769627193476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193844673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541605,0.000079890335,0.002339403,0.0011691968,0.000100756646,0.0005743842,0.000008980317,0.00014371914,0.00016764524],"genre_scores_gemma":[0.9909245,0.000003392238,0.007992207,0.00017748194,0.00018227205,0.0004527669,0.000028863864,0.000043067,0.0001954685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974841,0.000019580302,0.00029933953,0.0009905068,0.000494199,0.00071226154],"domain_scores_gemma":[0.9988158,0.0003765391,0.000052821608,0.00042891715,0.0001359554,0.00018996421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055516144,0.00027911377,0.00044307695,0.0002330672,0.00030374454,0.000108306485,0.0004399473,0.00012864156,0.000037523205],"category_scores_gemma":[0.00035691378,0.00019981031,0.000078767014,0.001229576,0.000047747068,0.0001602391,0.00009081045,0.00021348393,0.000030424073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006738313,0.000021072305,0.000042638807,0.00003903652,0.00006706793,0.0000027653568,0.00074200885,0.00053839927,0.9973088,0.00012086781,0.000010161839,0.0010397886],"study_design_scores_gemma":[0.0001521683,0.00006362497,0.000016833566,0.00007508703,0.00011410837,0.000008575941,0.000450162,0.00024752575,0.99820584,0.000045929486,0.00026148808,0.00035863224],"about_ca_topic_score_codex":0.00021324985,"about_ca_topic_score_gemma":0.00012431508,"teacher_disagreement_score":0.005652804,"about_ca_system_score_codex":0.00018245005,"about_ca_system_score_gemma":0.000090641304,"threshold_uncertainty_score":0.8148028},"labels":[],"label_agreement":null},{"id":"W3193860306","doi":"10.3390/app11167694","title":"Evaluation of Cyclic Fatigue and Bending Resistance of Coronal Preflaring NiTi File Manufactured with Different Heat Treatments","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Nickel titanium; Composite material; Cyclic stress","score_opus":0.0712279383468682,"score_gpt":0.32023147411775943,"score_spread":0.24900353577089124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193860306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879005,0.00032306885,0.0000657764,0.00001068354,0.00004212001,0.0001597908,0.000084470674,0.000005948431,0.011407663],"genre_scores_gemma":[0.9987164,0.000013828648,0.0008378808,0.000004591669,0.000008892949,0.000027809945,0.000044643388,0.00000484104,0.00034110522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986072,0.000042385564,0.00017162906,0.0002623146,0.0007822341,0.00013422214],"domain_scores_gemma":[0.999546,0.00010082535,0.00010366694,0.00012936244,0.00007997323,0.00004018963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020227542,0.00010224647,0.00018430848,0.00004599102,0.00013576465,0.000030243897,0.00008238514,0.000029333674,0.00025450348],"category_scores_gemma":[0.000019785954,0.00006969106,0.000025145771,0.00013825738,0.00015237293,0.00005561274,0.000038869857,0.000035131103,8.732515e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004179119,0.001810529,0.5407499,0.0005395216,0.0020968113,0.00011929718,0.0028886872,0.0037985651,0.3960892,0.017524151,0.0008118915,0.033153497],"study_design_scores_gemma":[0.0014305569,0.00008374591,0.6060331,0.00014920702,0.00028747832,0.000008513612,0.00045227018,0.0003562121,0.38939562,0.0016687775,0.00001854966,0.000115984105],"about_ca_topic_score_codex":0.000038571598,"about_ca_topic_score_gemma":0.000903188,"teacher_disagreement_score":0.065283164,"about_ca_system_score_codex":0.000050310162,"about_ca_system_score_gemma":0.00006791021,"threshold_uncertainty_score":0.28419188},"labels":[],"label_agreement":null},{"id":"W3194850962","doi":"10.3390/app11177769","title":"Recent Advances in Cellulose-Based Structures as the Wound-Healing Biomaterials: A Clinically Oriented Review","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wound healing; Biocompatibility; Cellulose; Bacterial cellulose; Biomedical engineering; Nanotechnology; Wound dressing; Materials science; Biocompatible material; Medicine; Chemistry; Surgery; Composite material","score_opus":0.04699587165073711,"score_gpt":0.3808353037184178,"score_spread":0.3338394320676807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194850962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84068435,0.12637281,0.0000382236,0.01435102,0.00073836,0.0010449041,0.0000065092504,0.00009147429,0.016672356],"genre_scores_gemma":[0.94112426,0.045780677,0.0031094938,0.009618709,0.00014407707,0.00009081894,0.00003629309,0.000011446235,0.00008423088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818426,0.000110188696,0.0005070041,0.00043895497,0.00045969576,0.000299916],"domain_scores_gemma":[0.9990982,0.0002928674,0.00014926751,0.000283321,0.000082859384,0.000093513394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012240534,0.0001418694,0.00035364425,0.000052434516,0.00023313108,0.000050201314,0.00015231306,0.000057361056,0.0003554848],"category_scores_gemma":[0.00032154578,0.00008029525,0.000055243287,0.0008547929,0.00030939505,0.000045940462,0.000034127144,0.000094525305,0.000047296384],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00144614,0.0023963256,0.043701652,0.0048957635,0.00020405688,0.0007323318,0.0020244792,0.00035897977,0.03456327,0.05387722,0.002263792,0.853536],"study_design_scores_gemma":[0.0076885917,0.0014405088,0.011959004,0.0072515327,0.0005408707,0.00019401571,0.0025530956,0.000464834,0.1064774,0.019233858,0.8412615,0.0009347867],"about_ca_topic_score_codex":0.000033001143,"about_ca_topic_score_gemma":0.00004646266,"teacher_disagreement_score":0.85260123,"about_ca_system_score_codex":0.00005608237,"about_ca_system_score_gemma":0.0006328168,"threshold_uncertainty_score":0.38923094},"labels":[],"label_agreement":null},{"id":"W3195169700","doi":"10.3390/app11177774","title":"An Insightful Overview of the Wiener Filter for System Identification","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Wiener filter; Regularization (linguistics); Computer science; Identification (biology); Benchmark (surveying); System identification; Filter (signal processing); Mathematical optimization; Data mining; Artificial intelligence; Mathematics; Geography","score_opus":0.07903534768150308,"score_gpt":0.330792215283632,"score_spread":0.2517568676021289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195169700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03335782,0.0003482964,0.9608321,0.0003491031,0.0005654616,0.00019277586,0.0000021936735,0.000041766936,0.00431048],"genre_scores_gemma":[0.9271504,0.0000031099075,0.07235418,0.00029036973,0.000038097205,0.000023213543,6.828394e-7,0.0000024698006,0.00013743702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989286,0.000107834116,0.00019941916,0.0003209956,0.00030564665,0.00013747002],"domain_scores_gemma":[0.99910265,0.00012175578,0.00011625534,0.00051890005,0.00011361397,0.000026823509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011735843,0.000061491606,0.00010639153,0.000036120924,0.00028794623,0.0002262026,0.0010730635,0.00002604499,0.0000032230462],"category_scores_gemma":[0.00003112806,0.000038874747,0.00005254069,0.0007349583,0.00013164859,0.00034079343,0.00011068751,0.00003288346,0.0000045048478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017121416,0.000026236614,0.000035304143,0.000053108626,0.000003491537,5.716613e-7,0.0005554189,0.0001819488,0.36373416,0.61533505,0.00017364629,0.019899385],"study_design_scores_gemma":[0.00021276834,0.000031114956,0.00272459,0.000047038087,0.0000112429525,0.000010479731,0.00029514133,0.030201225,0.9464347,0.01792157,0.001978782,0.00013139962],"about_ca_topic_score_codex":0.0000055623195,"about_ca_topic_score_gemma":0.000003484696,"teacher_disagreement_score":0.8937926,"about_ca_system_score_codex":0.000012350182,"about_ca_system_score_gemma":0.00012393441,"threshold_uncertainty_score":0.22146787},"labels":[],"label_agreement":null},{"id":"W3195281710","doi":"10.3390/app11167455","title":"The Montreal Experience: A Retrospective Study Part I—Basic Principles and Treatment Algorithm","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Orthokeratology; Context (archaeology); Medicine; Algorithm; Retrospective cohort study; Population; Optometry; Modalities; Pediatrics; Ophthalmology; Surgery; Computer science; Cornea","score_opus":0.06144618622742972,"score_gpt":0.364628833950312,"score_spread":0.3031826477228823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195281710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985478,0.00054251595,0.0000037713924,0.00051496713,0.00012283381,0.00045036394,0.0000020439188,0.000026651334,0.01285885],"genre_scores_gemma":[0.99736315,0.0002274571,0.00018569961,0.00007758179,0.000088643195,0.00021136021,9.639223e-7,0.0000034858772,0.0018416644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893504,0.000036361842,0.00014282166,0.00039132166,0.00024660744,0.0002478512],"domain_scores_gemma":[0.99957573,0.000106531916,0.000045849214,0.00016500322,0.00004039644,0.00006649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834647,0.00012112859,0.00020823741,0.000022822693,0.0011126199,0.00005228329,0.00006792756,0.000027487064,0.000024179686],"category_scores_gemma":[0.00004402477,0.0000646674,0.000027979513,0.0002522651,0.00081345026,0.00004157687,0.00009269178,0.0000624838,0.000007694638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076825476,0.0014586045,0.94955033,0.0000035639507,0.00017117888,0.00012701303,0.020011773,9.202611e-7,0.00025898838,0.0017819016,0.00009436362,0.026464524],"study_design_scores_gemma":[0.0009925378,0.0029291234,0.93084234,0.0000082258875,0.000061765764,0.00006884483,0.06296906,0.0000704677,0.00083558564,0.00039712345,0.0007357016,0.00008919851],"about_ca_topic_score_codex":0.000055973636,"about_ca_topic_score_gemma":0.00012915487,"teacher_disagreement_score":0.042957284,"about_ca_system_score_codex":0.000046534653,"about_ca_system_score_gemma":0.00008781465,"threshold_uncertainty_score":0.8557485},"labels":[],"label_agreement":null},{"id":"W3195344126","doi":"10.3390/app11167538","title":"Deep Learning Based Android Anomaly Detection Using a Combination of Vulnerabilities Dataset","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; École de Technologie Supérieure","funders":"Canadian Bureau for International Education","keywords":"Computer science; Exploit; Android (operating system); Malware; Android malware; Machine learning; Support vector machine; Artificial intelligence; Computer security; Operating system","score_opus":0.021874366606085743,"score_gpt":0.2751429652260106,"score_spread":0.2532685986199249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195344126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10335699,0.000044360855,0.89577633,0.000042207786,0.0000922253,0.00009622832,0.000003985627,0.00017324605,0.00041443738],"genre_scores_gemma":[0.8665821,0.000002660515,0.13330594,0.00006299227,0.000010090526,0.000015292873,0.0000102004005,0.0000037941013,0.000006933024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871635,0.00008880386,0.00022645248,0.00042684784,0.00035445436,0.00018706844],"domain_scores_gemma":[0.99920017,0.00018208344,0.0001726087,0.00028938937,0.000118969656,0.00003678953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006067624,0.00009869984,0.0001398283,0.00018254569,0.00040256782,0.000117891555,0.00040005406,0.00004441611,0.000012494732],"category_scores_gemma":[0.00013248772,0.00010040426,0.00002953079,0.0011423995,0.00023336273,0.0005903343,0.00015032516,0.00012173125,0.0000022635406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017975139,0.00023121398,0.0006805677,0.00008485057,0.000011671877,0.000010002785,0.0005962737,0.07525844,0.7782248,0.03470175,0.000022235416,0.11016017],"study_design_scores_gemma":[0.00015616366,0.000097246026,0.00026464328,0.000008064906,0.0000030440503,0.000012204257,0.00020842554,0.33944765,0.6531189,0.0062400564,0.00033028578,0.00011329609],"about_ca_topic_score_codex":0.000034517216,"about_ca_topic_score_gemma":0.00003937074,"teacher_disagreement_score":0.76322514,"about_ca_system_score_codex":0.000048932514,"about_ca_system_score_gemma":0.000101221216,"threshold_uncertainty_score":0.40943667},"labels":[],"label_agreement":null},{"id":"W3195552573","doi":"10.3390/app11167488","title":"Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Institutes of Health","keywords":"Computer science; Artificial intelligence","score_opus":0.0192261891643533,"score_gpt":0.32648074892789314,"score_spread":0.3072545597635398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195552573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776196,0.00019939808,0.018887145,0.001654495,0.00006161696,0.00013623993,0.0000031177851,0.0000346514,0.0014037276],"genre_scores_gemma":[0.9728761,0.000020397436,0.02627811,0.00061798916,0.000021677952,0.0000052983078,0.000017817008,0.000007068408,0.00015554813],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919754,0.00003200885,0.00016956651,0.00023370737,0.00023224561,0.00013493915],"domain_scores_gemma":[0.9995755,0.00012653212,0.00009992573,0.00006611883,0.000052825624,0.00007910646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035040567,0.00007817564,0.00018981902,0.00007750613,0.00012957705,0.000019873616,0.000057025118,0.000022928667,0.00007766276],"category_scores_gemma":[0.0002757077,0.000062246545,0.00001923536,0.0002836177,0.00034682962,0.00004533765,0.000035688172,0.00022096609,0.000003763038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061017516,0.00030317466,0.052266594,0.0001154256,0.000040195944,0.000039153398,0.0018420507,0.0011744848,0.89406794,0.00047652694,0.00008457699,0.04952888],"study_design_scores_gemma":[0.0028042097,0.00026677578,0.012743642,0.00011772961,0.00006175256,0.0000551013,0.0025042323,0.73171604,0.24919447,0.00012733723,0.00025656447,0.00015216378],"about_ca_topic_score_codex":0.00003559246,"about_ca_topic_score_gemma":0.000007614151,"teacher_disagreement_score":0.7305415,"about_ca_system_score_codex":0.000016472015,"about_ca_system_score_gemma":0.00013637399,"threshold_uncertainty_score":0.25383404},"labels":[],"label_agreement":null},{"id":"W3195556073","doi":"10.3390/app11167518","title":"A Review on Security of Smart Farming and Precision Agriculture: Security Aspects, Attacks, Threats and Countermeasures","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Countermeasure; Computer security; Agriculture; Business; Internet of Things; Honeypot; Computer science; Risk analysis (engineering); Internet privacy; Engineering; Geography","score_opus":0.04331043739111019,"score_gpt":0.34267847371710924,"score_spread":0.29936803632599907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195556073","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005217907,0.992136,0.00445199,0.000046220706,0.00012868838,0.0010495152,0.0000140670945,0.00016354422,0.0020047438],"genre_scores_gemma":[0.00042864436,0.9958141,0.0033811147,0.00018131979,0.00003689617,0.00013325027,0.00000397907,0.000010790439,0.000009918047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693984,0.00018553957,0.0006219144,0.0012576029,0.000685926,0.00030916414],"domain_scores_gemma":[0.99804646,0.0004608901,0.00063579186,0.0006086526,0.00013101692,0.00011719165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014444873,0.00045244233,0.0015081195,0.00018404186,0.0003094944,0.00020858675,0.0009871016,0.0001993371,0.000004630228],"category_scores_gemma":[0.00012978539,0.00030806754,0.00015960328,0.0013009898,0.0004244157,0.00031699764,0.0006906122,0.00041678833,0.000002823647],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.028466e-7,0.00003120435,8.500557e-7,0.009173329,0.00001625858,0.000005133915,0.000099608274,1.8890273e-7,0.00000571236,0.016162975,0.0006427151,0.9738611],"study_design_scores_gemma":[0.00009076335,0.00024993697,0.0000028273853,0.05832514,0.00014353084,0.00022977382,0.000030035428,0.00002959466,0.0005783076,0.018436486,0.9212336,0.00065001077],"about_ca_topic_score_codex":0.000008662639,"about_ca_topic_score_gemma":0.00002378288,"teacher_disagreement_score":0.9732111,"about_ca_system_score_codex":0.000061072526,"about_ca_system_score_gemma":0.00018718319,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W3195914839","doi":"10.3390/app11167439","title":"Influence of Seasonal and Yearly Variation on Phenolic Profiles, Caffeine, and Antioxidant Activities of Green Tea (Camellia sinensis (L.) Kuntze) from Azores","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Gallic acid; Camellia sinensis; Chemistry; DPPH; Caffeine; Food science; Catechin; Rutin; Epicatechin gallate; Antioxidant; Botany; Polyphenol; Biology; Biochemistry","score_opus":0.010241678235452792,"score_gpt":0.23838720398746394,"score_spread":0.22814552575201114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195914839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998547,0.00039346982,0.000016869251,0.0002776998,0.000022912147,0.00015106588,0.000030204923,0.0000121707835,0.00054858584],"genre_scores_gemma":[0.998551,0.000054365457,0.0011670793,0.00011670171,0.000052200146,0.000006114138,0.00000417481,0.00000497039,0.00004339627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991512,0.000022154141,0.00014147205,0.00025001334,0.00030541394,0.00012975947],"domain_scores_gemma":[0.9994985,0.00018232412,0.000104770945,0.000115811,0.000042033742,0.000056597026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001545187,0.000093234696,0.00023662028,0.000060154493,0.00006423282,0.000019153455,0.00005103306,0.00005841223,0.000012780506],"category_scores_gemma":[0.000050853687,0.00007208383,0.000017474797,0.00023144133,0.00039041284,0.00008452846,0.00004410937,0.00007949672,0.00000128096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008474011,0.000080951024,0.044050712,0.00013713024,0.0000363932,0.0000049859123,0.0018668497,0.000048894737,0.9386662,0.0059179314,0.000047909984,0.009057252],"study_design_scores_gemma":[0.00039073394,0.00018179929,0.8432493,0.00012144894,0.00004151129,0.0000042483025,0.00040265493,0.00029553386,0.1546787,0.0005360064,0.000027132879,0.00007089478],"about_ca_topic_score_codex":0.0011834806,"about_ca_topic_score_gemma":0.000060204784,"teacher_disagreement_score":0.7991986,"about_ca_system_score_codex":0.000008040398,"about_ca_system_score_gemma":0.00010883672,"threshold_uncertainty_score":0.29394934},"labels":[],"label_agreement":null},{"id":"W3195994334","doi":"10.3390/app11167669","title":"Sampling Rate Impact on Precise Point Positioning with a Low-Cost GNSS Receiver","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"GNSS positioning and interference","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Precise Point Positioning; Geodetic datum; Computer science; Sampling (signal processing); Geodesy; Remote sensing; Real-time computing; Global Positioning System; Telecommunications; Geography","score_opus":0.016634394382538505,"score_gpt":0.25552296890710974,"score_spread":0.23888857452457124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195994334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9089583,0.0000425981,0.012163136,0.000064450156,0.00013011514,0.00011072192,0.000008134676,0.0001771255,0.07834541],"genre_scores_gemma":[0.99718857,0.000011744078,0.002540448,0.00010226603,0.00004400353,0.000028684552,0.000010021141,0.000012379857,0.000061881445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991126,0.00001606877,0.00012502779,0.00027480582,0.00018483358,0.00028664165],"domain_scores_gemma":[0.99959975,0.00010038354,0.000026625741,0.0001518173,0.000043323467,0.00007806574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020798734,0.00014265865,0.00012681315,0.00006995604,0.0002608036,0.00024369237,0.00015284758,0.000035357327,0.00011241208],"category_scores_gemma":[0.000012983499,0.000106982756,0.000034258916,0.00041159795,0.000102451755,0.000163505,0.000019927593,0.00015299287,0.000103271894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061269,0.000063324835,0.00047228523,0.00003236368,0.00004822888,0.00001434163,0.0013696587,0.85139054,0.13455117,0.005433638,0.0006413817,0.0059218057],"study_design_scores_gemma":[0.0010897955,0.00048099778,0.029514926,0.0014025567,0.00005034877,0.00012606528,0.0016433226,0.079443686,0.88095397,0.003749818,0.0003188774,0.0012256544],"about_ca_topic_score_codex":0.000014118573,"about_ca_topic_score_gemma":0.000008527693,"teacher_disagreement_score":0.77194685,"about_ca_system_score_codex":0.00006694595,"about_ca_system_score_gemma":0.000053819353,"threshold_uncertainty_score":0.43626302},"labels":[],"label_agreement":null},{"id":"W3196075993","doi":"10.3390/app11167539","title":"Radiation-Balanced Lasers: History, Status, Potential","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Laser; Lasing threshold; Materials science; Optoelectronics; Active laser medium; Laser pumping; Optics; Radiation; Injection seeder; Laser power scaling; Physics","score_opus":0.016622504431670758,"score_gpt":0.23397145145469364,"score_spread":0.21734894702302288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196075993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8074708,0.0005597442,0.010938103,0.0010347253,0.0012371637,0.00017260222,0.00002583519,0.0002376832,0.17832333],"genre_scores_gemma":[0.99540263,0.000012496221,0.0038921935,0.00012889963,0.0001675308,0.00001691428,0.000012523607,0.0000047262433,0.00036208733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919623,0.000011597334,0.00013771789,0.00024234268,0.00015571437,0.0002563915],"domain_scores_gemma":[0.99969465,0.000025541784,0.000050401155,0.00016149905,0.00002839623,0.000039498056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011868925,0.00007940464,0.000111735346,0.000020124624,0.00014116567,0.00007319748,0.00020906849,0.000025792262,0.0016827803],"category_scores_gemma":[0.000012574485,0.00006504888,0.000033578515,0.00011426767,0.00024927678,0.000061061655,0.00010979665,0.00005886173,0.000053010343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002312884,0.00016736254,0.0028798548,0.000016547212,0.000046722813,0.0000052693263,0.0001798322,0.0024216117,0.13858806,0.7822467,0.016378783,0.05704614],"study_design_scores_gemma":[0.0014280863,0.00016407359,0.0011994152,0.00003057745,0.000060913866,0.0000022202532,0.0057842527,0.0062305587,0.27655333,0.19853881,0.50892705,0.001080685],"about_ca_topic_score_codex":0.00004173859,"about_ca_topic_score_gemma":5.886261e-7,"teacher_disagreement_score":0.58370787,"about_ca_system_score_codex":0.000035115903,"about_ca_system_score_gemma":0.0001569069,"threshold_uncertainty_score":0.9992298},"labels":[],"label_agreement":null},{"id":"W3196120260","doi":"10.3390/app11167617","title":"Investigation of Climate Change on Unsaturated Porous Media via a Discrete Thermo-Hydro-Mechanical Model","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Porous medium; Materials science; Isothermal process; Masonry; Permeability (electromagnetism); Energy balance; Moisture; Saturation (graph theory); Fracture mechanics; Degree of saturation; Geotechnical engineering; Porosity; Mechanics; Environmental science; Composite material; Structural engineering; Geology; Soil science; Engineering; Thermodynamics","score_opus":0.03253879420447976,"score_gpt":0.2275260322037969,"score_spread":0.19498723799931716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196120260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766905,0.00014430565,0.00082703546,0.00024275431,0.00028225512,0.00014592604,0.000018574074,0.00022156337,0.010448557],"genre_scores_gemma":[0.9983326,0.000116895695,0.0012184829,0.00019269451,0.00006615578,0.00003083579,0.000023243843,0.000014402974,0.000004697886],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895144,0.000016663527,0.00019827271,0.00025441416,0.00030488175,0.00027431225],"domain_scores_gemma":[0.9996157,0.00006668586,0.00004298429,0.00016306005,0.00003125959,0.00008025293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019613722,0.00014187818,0.00017304548,0.000069412126,0.00009046159,0.000033273944,0.00017926312,0.000101169404,0.00001764771],"category_scores_gemma":[0.000013871984,0.0001122677,0.00003226618,0.00066214096,0.00013967535,0.00011549133,0.000032902022,0.000147416,0.000020860336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038515464,0.000026789065,0.0001166071,0.00008639333,0.000038168033,0.000017571447,0.0044230903,0.07805782,0.84036094,0.03780526,0.00010917251,0.038919687],"study_design_scores_gemma":[0.00021149954,0.00003032183,0.0004930727,0.000043244774,0.000014784643,0.00000436916,0.00020902338,0.75715333,0.23032649,0.01129068,0.000012979358,0.00021020143],"about_ca_topic_score_codex":0.0000074553473,"about_ca_topic_score_gemma":0.000022867333,"teacher_disagreement_score":0.6790955,"about_ca_system_score_codex":0.000018979652,"about_ca_system_score_gemma":0.00003052111,"threshold_uncertainty_score":0.4578144},"labels":[],"label_agreement":null},{"id":"W3196317237","doi":"10.3390/app11178059","title":"Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epilepsy; Computer science; Computational biology; Drug discovery; Identification (biology); Temporal lobe; Homology (biology); Neuroscience; Bioinformatics; Biology; Ecology; Biochemistry","score_opus":0.012022425333324087,"score_gpt":0.26277262037628957,"score_spread":0.2507501950429655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196317237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57572514,0.00013662947,0.4231587,0.00008085161,0.000042859887,0.0007039555,0.00001558315,0.0000021921546,0.00013407107],"genre_scores_gemma":[0.97208947,0.000014074791,0.027164333,0.000021157197,0.00011319289,0.00027670639,0.00005809569,0.0000068350123,0.00025614974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993159,0.000019861713,0.00017895599,0.00028090677,0.000070708214,0.00013365892],"domain_scores_gemma":[0.9996073,0.000017518416,0.00017676997,0.00013334746,0.0000409541,0.000024058196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018502523,0.00008394882,0.00014066718,0.000017151104,0.00008336244,0.000015611233,0.00010400897,0.000084810825,0.0000022332601],"category_scores_gemma":[0.000019934521,0.000071879156,0.000056464,0.00006737667,0.00011908828,0.000008220888,0.00004184704,0.000016114886,1.2349116e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018040564,0.000035871977,0.00010564345,0.000024060622,0.000026444115,5.7160115e-8,0.000014425705,0.00012746661,0.96858215,0.014741993,0.000014770092,0.016146705],"study_design_scores_gemma":[0.00038893518,0.00039977246,0.00013164147,0.000012691605,0.000025191057,0.0000020501072,0.00014010686,0.0008025248,0.9743784,0.023292629,0.00034418944,0.00008184894],"about_ca_topic_score_codex":0.000032960335,"about_ca_topic_score_gemma":0.000029658606,"teacher_disagreement_score":0.3963643,"about_ca_system_score_codex":0.000005043218,"about_ca_system_score_gemma":0.0000928401,"threshold_uncertainty_score":0.2931147},"labels":[],"label_agreement":null},{"id":"W3196406139","doi":"10.3390/app11178134","title":"Efficiency of Bromelain-Enriched Enzyme Mixture (NexoBrid™) in the Treatment of Burn Wounds","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pineapple and bromelain studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Eschar; Bromelain; Debridement (dental); Medicine; Surgery; Dermis; Burn wound; Erythema; Dermatology; Wound healing; Enzyme; Pathology; Biology","score_opus":0.015456716808669156,"score_gpt":0.2650901535183224,"score_spread":0.2496334367096532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196406139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98527336,0.0043400084,0.00014967445,0.00017814252,0.000042465235,0.000116134244,0.000006938788,0.0000022655365,0.009891024],"genre_scores_gemma":[0.99869174,0.00071710814,0.00028796104,0.00008442494,0.000046198445,0.000023620809,0.000011562011,0.0000028447225,0.00013455136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991607,0.00003385765,0.00018412345,0.00025099094,0.00019617681,0.00017415757],"domain_scores_gemma":[0.9996105,0.000046084806,0.000074891504,0.0002119465,0.000040131374,0.000016436994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023687244,0.000097371296,0.00017162442,0.0000358126,0.000082391736,0.0000110322735,0.00024202462,0.000053832056,0.000009727588],"category_scores_gemma":[0.000021671869,0.000059289185,0.00006328087,0.0004804501,0.00036288743,0.0000017773615,0.000043899032,0.000028660881,0.0000014279137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015987722,0.00037489526,0.0018829652,0.000013087456,0.000024536184,0.000003451767,0.0011025871,0.000047952024,0.99285823,0.001590658,0.0002893448,0.0017962796],"study_design_scores_gemma":[0.0006146115,0.0007026108,0.0055047357,0.000007599591,0.000020340995,0.000009701169,0.0044999323,0.000020325298,0.97185236,0.00043704777,0.016189747,0.00014101085],"about_ca_topic_score_codex":0.000021609369,"about_ca_topic_score_gemma":0.00006696685,"teacher_disagreement_score":0.02100592,"about_ca_system_score_codex":0.000006499286,"about_ca_system_score_gemma":0.00008340648,"threshold_uncertainty_score":0.24177429},"labels":[],"label_agreement":null},{"id":"W3196445529","doi":"10.3390/app11178011","title":"Application of Simultaneous Symmetric and Cambered Airfoils in Novel Vertical Axis Wind Turbines","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Airfoil; Stall (fluid mechanics); Turbine; Wind power; Lift coefficient; Marine engineering; Tip-speed ratio; Relative wind; Aerospace engineering; Physics; Mechanics; Angle of attack; Aerodynamics; Engineering; Electrical engineering; Reynolds number","score_opus":0.011766045745313234,"score_gpt":0.23060623086317814,"score_spread":0.2188401851178649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196445529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888257,0.00029617027,0.0023821604,0.00004205281,0.000029140843,0.00006636065,0.0000016149253,0.000025698291,0.008331106],"genre_scores_gemma":[0.99739224,0.000032610063,0.0025096876,0.000015896687,0.000013551273,0.000010529175,0.000002324741,0.0000039975453,0.000019162793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992625,0.0000044690355,0.00014084308,0.00017127565,0.00022345186,0.00019742509],"domain_scores_gemma":[0.9996615,0.00016441866,0.000007081098,0.000079769365,0.00002432588,0.000062925545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015421018,0.00006492836,0.00010952529,0.0001254555,0.000036833524,0.000022392387,0.00009320183,0.000036833495,0.000007066691],"category_scores_gemma":[0.00005830064,0.000057360958,0.000009309374,0.0009868396,0.00011593297,0.00004150937,0.000040472016,0.000058278438,0.000005091179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002334628,0.00015607924,0.008841426,0.00016339174,0.000030023322,0.000021485643,0.0008874835,0.19724226,0.68105054,0.021837223,0.00006786175,0.0896789],"study_design_scores_gemma":[0.0010931862,0.000065897846,0.06427166,0.000036937436,0.000007995048,0.000023834253,0.0008339219,0.5338861,0.39618233,0.0018146735,0.0013339167,0.00044955988],"about_ca_topic_score_codex":0.000035601308,"about_ca_topic_score_gemma":0.000050070106,"teacher_disagreement_score":0.33664382,"about_ca_system_score_codex":0.000027406088,"about_ca_system_score_gemma":0.00007037215,"threshold_uncertainty_score":0.2339112},"labels":[],"label_agreement":null},{"id":"W3196819214","doi":"10.3390/app11177806","title":"Lifetimes of Used Nuclear Fuel Containers Affected by Sulphate-Reducing Bacteria Reactions inside the Canadian Deep Geological Repository","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Environmental science; Diffusion; Geology; Host (biology); Groundwater; Radioactive waste; Spent nuclear fuel; Sulfate-reducing bacteria; Mining engineering; Chemistry; Geotechnical engineering; Bacteria; Nuclear chemistry; Biology; Ecology; Thermodynamics; Physics","score_opus":0.008728744313660223,"score_gpt":0.21362001941014516,"score_spread":0.20489127509648494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196819214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93926686,0.000052422998,0.00003702799,0.0009856772,0.00008699617,0.00017436195,0.0000031324716,0.00005372347,0.059339795],"genre_scores_gemma":[0.998235,0.00001642002,0.00104339,0.00036953238,0.000024276542,0.000015090258,0.000007822299,0.0000050719536,0.00028339154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989185,0.00007722561,0.00020296482,0.00028957834,0.0002750148,0.00023673677],"domain_scores_gemma":[0.9994624,0.00010325058,0.000112431015,0.00019334763,0.000014858914,0.00011368549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042365145,0.000091747585,0.0001191913,0.000037192913,0.00055708684,0.000073679075,0.00029510292,0.00007384046,0.00077545916],"category_scores_gemma":[0.00008657314,0.00006189733,0.000035834277,0.00045588752,0.0008721932,0.00011392905,0.000088188266,0.00010748984,0.0000300161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022652732,0.000029066572,0.0010709127,0.0000033261845,0.000005722293,0.000006715852,0.0008497113,0.000101579135,0.9931736,0.0015044181,0.0028686256,0.0003840358],"study_design_scores_gemma":[0.00032986904,0.00015283494,0.05139152,0.000021614323,0.00003683068,0.00005155927,0.00517943,0.0011735099,0.9003583,0.0015684359,0.039268117,0.00046793194],"about_ca_topic_score_codex":0.042330526,"about_ca_topic_score_gemma":0.038224477,"teacher_disagreement_score":0.09281528,"about_ca_system_score_codex":0.00008856044,"about_ca_system_score_gemma":0.000086045984,"threshold_uncertainty_score":0.9793254},"labels":[],"label_agreement":null},{"id":"W3197115864","doi":"10.3390/app11177925","title":"Preliminary Valorization of Climatic Conditions Effects on Curing of Air Lime-Based Mortars for Restorative Applications in the Pasargadae and Persepolis World Heritage Sites","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health","keywords":"Carbonation; Lime; Mortar; Curing (chemistry); Environmental science; Durability; Calcium carbonate; Materials science; Waste management; Composite material; Metallurgy; Engineering","score_opus":0.025625432743080604,"score_gpt":0.25309037104300286,"score_spread":0.22746493829992226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197115864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997985,0.00009761474,0.0003044239,0.00028035915,0.000027864155,0.00044622633,0.000058546524,0.0000069877665,0.0007929555],"genre_scores_gemma":[0.99783146,0.000007847734,0.0018048729,0.00017650588,0.00001766549,0.00004902746,0.00010770231,0.00000138301,0.0000035387286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993591,0.00005516493,0.00017441573,0.00016011868,0.00015335302,0.000097889584],"domain_scores_gemma":[0.99876857,0.0009654326,0.00012065238,0.00009822065,0.00003085133,0.000016250078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036143867,0.00006349259,0.00011368451,0.00008531012,0.00019950967,0.000028292096,0.00011086849,0.00002076702,0.000015741169],"category_scores_gemma":[0.000035204434,0.00004553642,0.000019405223,0.00049713603,0.0001871712,0.000088030065,0.0000051141546,0.000031121777,7.637455e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001746738,0.000283892,0.7637755,0.0012163626,0.000031193205,0.00000268282,0.0053755823,0.04132634,0.10507345,0.07718395,0.0002123475,0.0053439974],"study_design_scores_gemma":[0.0003442222,0.0003517656,0.89860827,0.000118130825,0.000035261368,7.829608e-7,0.0039750193,0.009440205,0.07784677,0.009048348,0.000095302494,0.00013590217],"about_ca_topic_score_codex":0.0001064967,"about_ca_topic_score_gemma":0.00046612223,"teacher_disagreement_score":0.13483275,"about_ca_system_score_codex":0.0000021647934,"about_ca_system_score_gemma":0.00005657165,"threshold_uncertainty_score":0.18569215},"labels":[],"label_agreement":null},{"id":"W3197677430","doi":"10.3390/app11178082","title":"Virtual Reality Visualization of CFD Simulated Blood Flow in Cerebral Aneurysms Treated with Flow Diverter Stents","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Streamlines, streaklines, and pathlines; Flow visualization; Blood flow; Visualization; Stent; Computer science; Aneurysm; Simulation; Flow (mathematics); Radiology; Medicine; Mechanics; Physics; Artificial intelligence","score_opus":0.023550563041995244,"score_gpt":0.2717218449153908,"score_spread":0.24817128187339557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197677430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994575,0.000015541062,0.00053129543,0.00022439913,0.000024702711,0.00031079102,0.000014985694,0.000044201886,0.004259084],"genre_scores_gemma":[0.9989059,0.000005845674,0.00052973605,0.00014549955,0.000023963134,0.000014899013,0.00013755907,0.000007828535,0.0002287828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876773,0.000038520884,0.00025239933,0.0003728654,0.00035784364,0.00021061786],"domain_scores_gemma":[0.99948585,0.000049824546,0.00007654635,0.00019997764,0.000121703175,0.00006612254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011092073,0.00013271181,0.0002468722,0.00010049881,0.00013335237,0.000026061,0.000102563245,0.000057403402,0.000108280925],"category_scores_gemma":[0.000015968175,0.00009523037,0.00003626482,0.0010213221,0.00021660775,0.00008554169,0.000032247233,0.00006555168,0.000011489296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012743269,0.0063090734,0.7103328,0.00012759218,0.00030211013,0.0004362123,0.0032699183,0.014757406,0.23560046,0.014815404,0.0001788245,0.012595854],"study_design_scores_gemma":[0.011441298,0.0027245611,0.6098147,0.00019177573,0.00069825596,0.00026868205,0.0014818036,0.17312877,0.19858977,0.0009726904,0.000060988063,0.0006267197],"about_ca_topic_score_codex":0.000103175014,"about_ca_topic_score_gemma":0.00010069416,"teacher_disagreement_score":0.15837136,"about_ca_system_score_codex":0.000021065276,"about_ca_system_score_gemma":0.00010655598,"threshold_uncertainty_score":0.38833818},"labels":[],"label_agreement":null},{"id":"W3197731842","doi":"10.3390/app11178275","title":"Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Data science; Preprocessor; Variety (cybernetics); Field (mathematics); Information retrieval; Data mining; Artificial intelligence","score_opus":0.12506648839178927,"score_gpt":0.3314910018240527,"score_spread":0.20642451343226345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197731842","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018030726,0.7254992,0.20234719,0.01971253,0.0049983943,0.011097476,0.0077868304,0.000822411,0.025932856],"genre_scores_gemma":[0.5581378,0.07737186,0.040118974,0.16284037,0.008254036,0.0020328008,0.14952138,0.00021303115,0.0015097938],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986545,0.0000072111793,0.00029145065,0.00054622156,0.0002947062,0.0002059063],"domain_scores_gemma":[0.9988101,0.00006515092,0.00019027856,0.00077140663,0.00015402092,0.000009031329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079221517,0.00012945638,0.00023504013,0.0000696206,0.00031299927,0.0008852383,0.001127596,0.00003627933,0.00012927748],"category_scores_gemma":[0.00042847032,0.00009619418,0.000026659638,0.0013832283,0.00008288493,0.0013706207,0.000511905,0.00004839305,0.00017046419],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017843247,0.00021515455,0.00013146095,0.461992,0.00007244291,0.000052976393,0.000036462992,0.00010298114,0.0023241027,0.12398939,0.40100294,0.010062239],"study_design_scores_gemma":[0.00043488975,0.000012973651,0.00003514023,0.08551184,0.00073053985,0.0001339702,0.00026435775,0.03245964,0.0021745998,0.007312203,0.86975914,0.0011707161],"about_ca_topic_score_codex":0.000003192471,"about_ca_topic_score_gemma":0.000023935465,"teacher_disagreement_score":0.6481274,"about_ca_system_score_codex":0.000005836673,"about_ca_system_score_gemma":0.000038700986,"threshold_uncertainty_score":0.8536373},"labels":[],"label_agreement":null},{"id":"W3197771275","doi":"10.3390/app11178072","title":"Development of Knowledge Base Using Human Experience Semantic Network for Instructive Texts","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Power Generation; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Knowledge base; Domain knowledge; Task (project management); Semantic network; Set (abstract data type); Domain (mathematical analysis); Entity linking; Key (lock); Information retrieval; Knowledge management; Artificial intelligence; Engineering; Programming language; Mathematics","score_opus":0.06894122035937689,"score_gpt":0.32092011232307444,"score_spread":0.25197889196369755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197771275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53687865,0.00016187414,0.46014786,0.000010821634,0.00025974546,0.00012046932,3.831355e-7,0.00003739674,0.0023828212],"genre_scores_gemma":[0.6754879,8.35817e-7,0.324351,0.00004187195,0.00008129304,0.000015506988,8.58859e-7,0.000003354708,0.00001735638],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998403,0.000035674475,0.00030694256,0.0005824165,0.00023645494,0.00043550684],"domain_scores_gemma":[0.9991282,0.0002314167,0.0001464986,0.00022624698,0.00019095576,0.000076671095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006914636,0.00013407414,0.00020568127,0.00006929338,0.00094066316,0.0001060833,0.00068559963,0.000039792918,0.000005517924],"category_scores_gemma":[0.0000320351,0.0001257105,0.000047723584,0.0011747865,0.00029174073,0.00014589584,0.00048358977,0.00006970344,0.0000030245108],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012869746,0.00029928228,0.0024934472,0.000087066706,0.00005334999,0.000009626512,0.0312415,0.0060117156,0.09608637,0.31507123,0.0002705765,0.548363],"study_design_scores_gemma":[0.0014207166,0.0001556831,0.010961039,0.0006358798,0.0000308749,0.000045343535,0.0039134864,0.49567246,0.44899333,0.0335674,0.003251214,0.0013525846],"about_ca_topic_score_codex":0.0000021059564,"about_ca_topic_score_gemma":0.000032318378,"teacher_disagreement_score":0.54701036,"about_ca_system_score_codex":0.00003360572,"about_ca_system_score_gemma":0.00046199627,"threshold_uncertainty_score":0.72349155},"labels":[],"label_agreement":null},{"id":"W3198082322","doi":"10.3390/app11178046","title":"An Engineering Design Approach for the Development of an Autonomous Sailboat to Cross the Atlantic Ocean","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ocean Frontier Institute","keywords":"Marine engineering; Automotive industry; Propulsion; Wind power; Engineering; Computer science; Systems engineering; Aerospace engineering","score_opus":0.029152153700549795,"score_gpt":0.2590540744470279,"score_spread":0.22990192074647808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198082322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2851091,0.000031321444,0.7131461,0.000044477638,0.000078141544,0.00036748603,0.0000020945213,0.00008672213,0.0011345817],"genre_scores_gemma":[0.8517313,7.9868806e-7,0.14812054,0.000044549528,0.00002959283,0.00004372051,0.0000059486056,0.000007528806,0.00001603424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992864,0.00001139202,0.00017675542,0.00016881531,0.00016872789,0.00018787816],"domain_scores_gemma":[0.9995647,0.00015306108,0.000017329075,0.00017972791,0.000030828774,0.000054321896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008971346,0.00008442674,0.0000890548,0.000024761339,0.00029583156,0.000113183734,0.0003790919,0.00002640319,0.000012740107],"category_scores_gemma":[0.000016291255,0.00005268729,0.000019369514,0.00031196975,0.000064831496,0.00007138882,0.000025850024,0.000055920093,0.0000022899105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036329752,0.000017287113,0.000089951245,0.000023374465,0.00001058211,1.4115874e-7,0.0023825238,0.97198653,0.011622906,0.0037667358,0.000035092213,0.010061214],"study_design_scores_gemma":[0.0001219074,0.000020221038,0.0035830787,0.000004875532,0.000006662503,0.0000025422833,0.0010296932,0.91126007,0.0819168,0.0000900075,0.0018190634,0.00014509703],"about_ca_topic_score_codex":0.0000034100897,"about_ca_topic_score_gemma":0.0000069838043,"teacher_disagreement_score":0.5666222,"about_ca_system_score_codex":0.000021054731,"about_ca_system_score_gemma":0.000079889185,"threshold_uncertainty_score":0.22753271},"labels":[],"label_agreement":null},{"id":"W3198226699","doi":"10.3390/app11178106","title":"Heart Rate Variability in Elite Swimmers before, during and after COVID-19 Lockdown: A Brief Report on Time Domain Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Morning; Medicine; Heart rate variability; Elite athletes; Coronavirus disease 2019 (COVID-19); Heart rate; Cardiology; Physical therapy; Athletes; Internal medicine; Blood pressure","score_opus":0.009747970996099403,"score_gpt":0.26942744162625376,"score_spread":0.25967947063015434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198226699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879618,0.000030509647,0.00026609312,0.007719345,0.000033079366,0.00036637185,0.0000093515455,0.000035878595,0.0035775334],"genre_scores_gemma":[0.9950345,0.0000042212464,0.0009250106,0.003508693,0.000044795255,0.00006249949,0.000011697494,0.00000560558,0.0004029866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977358,0.0002118083,0.0004920422,0.00091077917,0.00027562675,0.0003739202],"domain_scores_gemma":[0.9987025,0.0004220798,0.00007139972,0.00046558504,0.000035575733,0.00030280615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005296163,0.00016089487,0.0005302998,0.00023507672,0.00019125959,0.00007535075,0.00007281767,0.000091284244,0.0005654393],"category_scores_gemma":[0.00062647404,0.00013509662,0.000110584035,0.0015090567,0.00042974117,0.00008235281,0.00007824118,0.00019442856,0.000025599951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068788696,0.0008280837,0.7291017,0.0003313827,0.00047858688,0.002072503,0.0032265568,0.0021958228,0.25380927,0.0035863582,0.000075123426,0.003606739],"study_design_scores_gemma":[0.0013178497,0.00006108714,0.9838293,0.000027948146,0.00016004876,0.000100585276,0.00026091907,0.0023984395,0.0021257838,0.0027111846,0.00678703,0.00021978939],"about_ca_topic_score_codex":0.00019651113,"about_ca_topic_score_gemma":0.0002327456,"teacher_disagreement_score":0.25472763,"about_ca_system_score_codex":0.00017807611,"about_ca_system_score_gemma":0.00077758,"threshold_uncertainty_score":0.61911637},"labels":[],"label_agreement":null},{"id":"W3198290721","doi":"10.3390/app11177917","title":"Vision-Based Robotic Arm Control Algorithm Using Deep Reinforcement Learning for Autonomous Objects Grasping","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Inverse kinematics; GRASP; Artificial intelligence; Robotic arm; Computer vision; Kinematics; Computer science; Reinforcement learning; Task (project management); Object (grammar); Forward kinematics; Degrees of freedom (physics and chemistry); Position (finance); Robot; Robotics; Engineering","score_opus":0.022206805903915626,"score_gpt":0.2609658142431483,"score_spread":0.23875900833923266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198290721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034766316,0.00015035027,0.9922475,0.00003928222,0.00029989236,0.0002453332,4.5085553e-8,0.00023879981,0.0033021185],"genre_scores_gemma":[0.96200615,0.0000022822796,0.037619337,0.00017582034,0.000087638145,0.00003110601,0.000008402039,0.000020860864,0.000048390088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879354,0.00002220825,0.00025831803,0.00028659825,0.0002549176,0.00038444076],"domain_scores_gemma":[0.99949986,0.00019498513,0.00006726347,0.00011057952,0.00004907012,0.00007823387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037700383,0.00015213691,0.00020022618,0.00012302372,0.00056065444,0.00019590376,0.00013608171,0.000055665594,0.000077120174],"category_scores_gemma":[0.00005445957,0.00015545503,0.00006628688,0.00040774417,0.0000669176,0.00012062005,0.000019123603,0.00015338,0.000015525555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018244906,0.0000074735613,0.00006515833,0.000024410418,0.0000111508,0.0000021264152,0.00016314158,0.98315847,0.008885354,0.0007756765,0.0000050382378,0.006900206],"study_design_scores_gemma":[0.00053129793,0.00004627885,0.00016072507,0.000029185654,0.000018679666,0.0000027620417,0.00043645705,0.9948075,0.0034934795,0.000101171274,0.00016505794,0.00020740715],"about_ca_topic_score_codex":0.000008304117,"about_ca_topic_score_gemma":0.000008551125,"teacher_disagreement_score":0.95852953,"about_ca_system_score_codex":0.00008901671,"about_ca_system_score_gemma":0.0001013226,"threshold_uncertainty_score":0.6339272},"labels":[],"label_agreement":null},{"id":"W3198532616","doi":"10.3390/app11177986","title":"An Exergame Solution for Personalized Multicomponent Training in Older Adults","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Active and Assisted Living programme; European Commission","keywords":"Personalization; Psychological intervention; Wearable computer; Urinary incontinence; Balance (ability); Applied psychology; Cognition; Rehabilitation; Physical medicine and rehabilitation; Session (web analytics); Psychology; Human–computer interaction; Physical therapy; Computer science; Medicine","score_opus":0.059910462947317805,"score_gpt":0.384653526536874,"score_spread":0.3247430635895562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198532616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879266,0.00014961086,0.00607965,0.00050705613,0.0004629411,0.00082569284,0.000009413175,0.000060395665,0.003978633],"genre_scores_gemma":[0.99173117,0.0000219549,0.006903289,0.00044602147,0.00014963972,0.0003975252,0.000044726625,0.0000075370517,0.0002981492],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985287,0.00013486324,0.00029248503,0.0003931917,0.00020638006,0.00044434072],"domain_scores_gemma":[0.99945265,0.00018651277,0.00010954462,0.00012256719,0.00005390217,0.000074800446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085042,0.000091036556,0.00017876351,0.00006724769,0.00064852554,0.000016626933,0.000152798,0.00010038558,0.000038844675],"category_scores_gemma":[0.000038471124,0.00008142043,0.00004107825,0.0002656362,0.0001247849,0.00013390485,0.000029481364,0.00016136144,0.000025093275],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040395337,0.0014711664,0.0108277025,0.0005279702,0.000019262616,0.0000063242132,0.1514076,0.000020111533,0.607577,0.09411017,0.0008404095,0.1327883],"study_design_scores_gemma":[0.014351475,0.00018839155,0.67916805,0.0010830633,0.000033782144,0.000003522751,0.20976157,0.07509849,0.00047186852,0.012769826,0.006330649,0.0007393375],"about_ca_topic_score_codex":0.00009314587,"about_ca_topic_score_gemma":0.00076785334,"teacher_disagreement_score":0.6683403,"about_ca_system_score_codex":0.000055932993,"about_ca_system_score_gemma":0.00028351802,"threshold_uncertainty_score":0.49879995},"labels":[],"label_agreement":null},{"id":"W3198848526","doi":"10.3390/app11177907","title":"Compositional Modeling of Impure CO2 Injection for Enhanced Oil Recovery and CO2 Storage","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Enhanced oil recovery; Carbon capture and storage (timeline); Residual oil; Petroleum engineering; Impurity; Carbon dioxide; Solubility; Environmental science; Carbon sequestration; Chemistry; Materials science; Chemical engineering; Geology; Organic chemistry","score_opus":0.01853501894531416,"score_gpt":0.25985298800119033,"score_spread":0.24131796905587616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198848526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93822324,0.000016324477,0.028008413,0.000283511,0.00012216573,0.00005466391,0.000008425301,0.000013334724,0.033269912],"genre_scores_gemma":[0.99531955,0.000010105378,0.0040390543,0.00017527415,0.000019699486,0.000020146603,0.00000857657,0.0000015178226,0.00040609165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994328,0.000009540965,0.000120456476,0.0002030599,0.0001395783,0.00009455928],"domain_scores_gemma":[0.99978304,0.0000718891,0.00004980793,0.00005235968,0.000016611566,0.000026300664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017251256,0.000049640843,0.000068433095,0.000019174126,0.00024646177,0.000028970351,0.000057632886,0.00002978186,0.00042032782],"category_scores_gemma":[0.000017623523,0.000045425746,0.000022130058,0.00014130348,0.00018612458,0.0001364178,0.000040568717,0.000042491396,0.000009224303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003129462,0.000060121,0.00017631333,0.000008839452,0.0000054188927,4.3281415e-7,0.00031553622,0.23679227,0.7482488,0.008123763,0.0002939749,0.0059432434],"study_design_scores_gemma":[0.0011688038,0.00081612915,0.0029937269,0.000055307337,0.00004486316,0.0000951676,0.0059140604,0.41859215,0.508288,0.058465883,0.0029265983,0.00063926034],"about_ca_topic_score_codex":0.00004299101,"about_ca_topic_score_gemma":0.0001721021,"teacher_disagreement_score":0.23996076,"about_ca_system_score_codex":0.000027061764,"about_ca_system_score_gemma":0.000027635757,"threshold_uncertainty_score":0.46022952},"labels":[],"label_agreement":null},{"id":"W3199702911","doi":"10.3390/app11188370","title":"Association between Anthropometric Variables, Sex, and Visual Biofeedback in Dynamic Postural Control Assessed on a Computerized Wobble Board","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Chicoutimi","funders":"","keywords":"Biofeedback; Speed wobble; Anthropometry; Balance (ability); Physical medicine and rehabilitation; Physical therapy; Psychology; Medicine; Internal medicine","score_opus":0.021440252907227193,"score_gpt":0.36010324124114884,"score_spread":0.33866298833392167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199702911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927495,0.00010355244,0.0010671786,0.0009731549,0.00041459713,0.0005358337,0.000027139899,0.00005877246,0.0040702648],"genre_scores_gemma":[0.99766093,0.00009139833,0.0009425066,0.0006289751,0.00012051456,0.00004876416,0.000049729824,0.000008840711,0.00044836485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977378,0.00043190498,0.0004281874,0.0004650423,0.00041804256,0.0005189719],"domain_scores_gemma":[0.99815845,0.0012935738,0.0002910639,0.000101963284,0.00007021995,0.000084716026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017890931,0.00014706729,0.00040202704,0.00027071894,0.00067396625,0.00007004792,0.00014339467,0.00021528866,0.00001918669],"category_scores_gemma":[0.00012333582,0.000129304,0.000033154025,0.0016099716,0.000111164394,0.00015353021,0.00008285776,0.00037645965,0.00005325129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081033206,0.0007449681,0.88788843,0.0001414031,0.000102942264,0.000008863697,0.00076004135,0.0000051316965,0.09764384,0.002848597,0.0009822379,0.008792492],"study_design_scores_gemma":[0.0029750753,0.00010217115,0.9903416,0.00008269083,0.000026328138,4.0766298e-7,0.001021827,0.003683678,0.00002498319,0.0012116728,0.00035988592,0.00016965237],"about_ca_topic_score_codex":0.00017317674,"about_ca_topic_score_gemma":0.00019697507,"teacher_disagreement_score":0.10245317,"about_ca_system_score_codex":0.00022996441,"about_ca_system_score_gemma":0.0002602775,"threshold_uncertainty_score":0.5272864},"labels":[],"label_agreement":null},{"id":"W3199797951","doi":"10.3390/app11188402","title":"A Novel Bathing Therapeutic Approach for Diabetic Foot Ulcers","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Health Sciences Centre; Seven Oaks General Hospital; St. Boniface Hospital","funders":"","keywords":"Medicine; Bathing; Placebo; Foot (prosody); Ankle; Diabetic foot; Randomized controlled trial; Gangrene; Surgery; Diabetes mellitus","score_opus":0.04904465719612322,"score_gpt":0.30395474819315926,"score_spread":0.25491009099703604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199797951","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08745854,0.0005486318,0.35629413,0.004267751,0.0004911956,0.0019618163,0.000006050152,0.00020231794,0.5487696],"genre_scores_gemma":[0.92351794,0.000008081374,0.07288397,0.001968309,0.00008415813,0.0002139503,0.00001627342,0.0000122521415,0.0012950854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863493,0.00000813643,0.00016947105,0.0004415272,0.0003806871,0.0003652463],"domain_scores_gemma":[0.99951625,0.00009276105,0.000049850125,0.00021029123,0.000046121855,0.000084713975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056072464,0.000126425,0.00021675552,0.00008439895,0.00021406161,0.00010659148,0.00016802634,0.000038981478,0.00005172304],"category_scores_gemma":[0.000022748907,0.000101271435,0.00007911456,0.0004452136,0.00020701284,0.0000597273,0.00007269086,0.00007467321,0.000007866089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009169285,0.0016438069,0.0027748558,0.0007720908,0.00048180495,0.000007665822,0.0018091951,0.0005115869,0.29099128,0.5492469,0.0033476974,0.14832142],"study_design_scores_gemma":[0.0366201,0.0047681597,0.05300525,0.0006241097,0.004754995,0.00019297123,0.07763119,0.16738006,0.29546875,0.06804289,0.28629887,0.0052126916],"about_ca_topic_score_codex":0.0000036578706,"about_ca_topic_score_gemma":0.0000017678494,"teacher_disagreement_score":0.8360594,"about_ca_system_score_codex":0.0000350487,"about_ca_system_score_gemma":0.00016937412,"threshold_uncertainty_score":0.41297293},"labels":[],"label_agreement":null},{"id":"W3199956464","doi":"10.3390/app14198992","title":"Less Total-Body Fat and Lower-Extremity Fat Are Associated with More High-Intensity Running during Games in Female University Soccer Players","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Concordia University","funders":"","keywords":"Intensity (physics); Medicine; Physical therapy; Animal science; Biology; Physics","score_opus":0.020177460940137663,"score_gpt":0.24064393115715865,"score_spread":0.22046647021702098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199956464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779963,0.00009000598,0.000008837637,0.00021651082,0.00010394586,0.00015377266,0.0000031778316,0.000110160036,0.0015139601],"genre_scores_gemma":[0.9993976,0.00001720536,0.000089723355,0.00009041882,0.000053091248,0.0000019883475,0.000005652285,0.000008717437,0.00033561658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988176,0.000003294561,0.00011601158,0.00043660417,0.00030662745,0.00031983294],"domain_scores_gemma":[0.9996922,0.000032370423,0.00005697769,0.0001020152,0.00002992551,0.00008650001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023686474,0.0001445944,0.00027306878,0.00019478469,0.00028117423,0.00006112165,0.000083225714,0.00007163495,0.000018401919],"category_scores_gemma":[0.000008236552,0.00011312468,0.000027896374,0.00065285707,0.00044892041,0.00023991424,0.00006495357,0.00025090942,0.000003031155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014142705,0.00003603716,0.9932548,0.00006222705,0.000033722692,0.00050565816,0.0026550682,0.00021774968,0.0020890653,0.000311274,0.000029300085,0.0006636818],"study_design_scores_gemma":[0.0007173244,0.000048107515,0.9648739,0.0004833441,0.000045734378,0.000030392592,0.030115047,0.0014543585,0.002033539,0.00001667977,0.000016456093,0.00016512985],"about_ca_topic_score_codex":0.00013137658,"about_ca_topic_score_gemma":0.00018032106,"teacher_disagreement_score":0.028380902,"about_ca_system_score_codex":0.000104373685,"about_ca_system_score_gemma":0.000062788655,"threshold_uncertainty_score":0.46130908},"labels":[],"label_agreement":null},{"id":"W3201003870","doi":"10.3390/app11188368","title":"Promoting the Emergence of Behavior Norms in a Principal–Agent Problem—An Agent-Based Modeling Approach Using Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Action (physics); Computer science; Artificial intelligence; Machine learning; Baseline (sea); Political science","score_opus":0.1241299684711887,"score_gpt":0.3606135985080906,"score_spread":0.2364836300369019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201003870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98324805,0.00011445832,0.0017455791,0.00007461342,0.00008748063,0.0007359591,6.586914e-7,0.000032488915,0.013960735],"genre_scores_gemma":[0.9903663,0.000016109769,0.009265748,0.000050559487,0.000030095263,0.000224563,0.000003106707,0.000009722771,0.000033830805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977546,0.00015661873,0.0005144444,0.00049764523,0.0005678272,0.00050887745],"domain_scores_gemma":[0.99937844,0.0000423576,0.0002390292,0.00018644094,0.00007480781,0.00007891122],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026006226,0.0001544937,0.00022854343,0.000089367415,0.0014018737,0.00012274692,0.00053217536,0.000055471726,0.000044530338],"category_scores_gemma":[0.00004802497,0.00012477796,0.00006260577,0.0007722921,0.00064773945,0.00027082168,0.00022427985,0.00018383855,0.0000027271608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000089870155,0.00036303443,0.038468987,0.00003296772,0.000009014649,0.0000037022692,0.10514475,0.77313775,0.066195436,0.014377315,9.346367e-7,0.0022571348],"study_design_scores_gemma":[0.00033216475,0.00009087357,0.0003019418,0.00005741941,0.000036249876,0.0000011153616,0.22273095,0.7520812,0.023606693,0.00031646714,0.0000554485,0.00038945745],"about_ca_topic_score_codex":0.0030364557,"about_ca_topic_score_gemma":0.0013338401,"teacher_disagreement_score":0.11758621,"about_ca_system_score_codex":0.00015967581,"about_ca_system_score_gemma":0.00044836669,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W3201306532","doi":"10.3390/app11188780","title":"Technological Perspective of Cyber Secure Smart Inverters Used in Power Distribution System: State of the Art Review","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Smart grid; Computer security; Software deployment; Interoperability; Computer science; Reliability (semiconductor); Risk analysis (engineering); Cyber-physical system; Grid; Systems engineering; Engineering; Power (physics); Electrical engineering; Business; Software engineering","score_opus":0.008182738626494684,"score_gpt":0.21407494717624068,"score_spread":0.205892208549746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201306532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980215,0.005102007,0.0014682437,0.000777892,0.00028812618,0.00043740118,0.00003640377,0.00008446536,0.01159047],"genre_scores_gemma":[0.99959373,0.00030525067,0.00004336811,0.00003174946,0.00000298225,0.000011888596,0.0000015238985,0.0000022048773,0.0000072975427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919534,0.000030640018,0.00019892187,0.00016116662,0.0002726776,0.00014125703],"domain_scores_gemma":[0.9996853,0.000047297413,0.000046788788,0.00016078397,0.000041516094,0.00001832727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039849145,0.00007248054,0.0001838628,0.000027674423,0.00004574436,0.000008237676,0.00026691196,0.000041700427,0.000011021929],"category_scores_gemma":[0.000055735127,0.000046219502,0.00004382574,0.0010184002,0.0006346432,0.00004743341,0.00006024888,0.00013079171,0.000005212813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002676877,0.00040067322,0.031549603,0.00515129,0.000120103294,0.000041642605,0.0077289217,0.019045047,0.15173915,0.77108777,0.009715369,0.0033936347],"study_design_scores_gemma":[0.0014929394,0.0002073077,0.1048751,0.011044208,0.0001319264,0.00010861404,0.047054462,0.018565817,0.7902494,0.013459145,0.011345252,0.0014658127],"about_ca_topic_score_codex":0.000006929131,"about_ca_topic_score_gemma":0.00005071913,"teacher_disagreement_score":0.7576286,"about_ca_system_score_codex":0.00005831962,"about_ca_system_score_gemma":0.00004584184,"threshold_uncertainty_score":0.23383693},"labels":[],"label_agreement":null},{"id":"W3201401182","doi":"10.3390/app11188412","title":"Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Classifier (UML); Artificial neural network; Stress (linguistics); Connectionism; Artificial intelligence","score_opus":0.05449696249940805,"score_gpt":0.2641169772131821,"score_spread":0.20962001471377406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201401182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3506256,0.000027858205,0.5278426,0.0034209618,0.0019690136,0.00058752677,0.000027126618,0.00031303187,0.11518632],"genre_scores_gemma":[0.85135967,0.000001825173,0.14669667,0.0017849366,0.0001112982,0.000018173405,0.000009228102,0.0000055228934,0.000012690355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979251,0.00012180745,0.00029946826,0.0006108788,0.0006617543,0.0003809958],"domain_scores_gemma":[0.99884236,0.00050501083,0.00011760109,0.0002955042,0.000093694245,0.00014584551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095403905,0.00015252887,0.00023601313,0.00022733968,0.00025839658,0.00019582284,0.00068433187,0.00007170746,0.00042893484],"category_scores_gemma":[0.00013038988,0.00014013148,0.00009509241,0.0016012049,0.00017133426,0.00023849524,0.0001089852,0.0001344912,0.00004580864],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036448106,0.00009945643,0.000058128804,0.0000044755425,0.000008606739,0.000028841841,0.00041547662,0.0017665166,0.0057748663,0.0037612487,0.00018984625,0.9878561],"study_design_scores_gemma":[0.0018559385,0.00038774297,0.0017528452,0.00012198737,0.000026247291,0.000045823046,0.0025530015,0.7031672,0.27863663,0.009342829,0.0013168068,0.00079293933],"about_ca_topic_score_codex":0.000010334678,"about_ca_topic_score_gemma":0.00002560008,"teacher_disagreement_score":0.98706317,"about_ca_system_score_codex":0.000027469077,"about_ca_system_score_gemma":0.00017005597,"threshold_uncertainty_score":0.5714396},"labels":[],"label_agreement":null},{"id":"W3201417718","doi":"10.3390/app11188476","title":"Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Information Technology Research Centre; Gyeonggi-do Regional Research Center; National Research Foundation of Korea","keywords":"Computer science; Dram; SPARK (programming language); Leverage (statistics); Distributed computing; Heap (data structure); Parallel computing; Operating system; Computer hardware; Algorithm","score_opus":0.019627348585448772,"score_gpt":0.24775621851046795,"score_spread":0.22812886992501918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201417718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038439285,0.000082437175,0.95523465,0.0008380799,0.00012033789,0.00024238687,0.0000022803995,0.00023411152,0.004806431],"genre_scores_gemma":[0.79499865,0.0000022133381,0.20445618,0.0004072144,0.000042309402,0.000018966037,0.000011548467,0.0000046585,0.00005823981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854434,0.000017179225,0.00024433172,0.0005512736,0.00027809155,0.00036477513],"domain_scores_gemma":[0.9994074,0.00017334607,0.000097824464,0.00023177489,0.00004400202,0.000045626333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081550126,0.00011982644,0.00014979302,0.000104230385,0.00043439245,0.00033312308,0.0007209152,0.0000404236,0.0000028860693],"category_scores_gemma":[0.00003121328,0.00011125196,0.000038764174,0.0010390228,0.000089566485,0.000053736567,0.00043945527,0.0000874502,0.0000017261551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043533646,0.00013850814,0.00025566336,0.00004756758,0.000012475336,0.000010353835,0.0015199629,0.73374224,0.0019387853,0.035717443,0.003213531,0.22339913],"study_design_scores_gemma":[0.00023944545,0.000025803674,0.000066386914,0.000037977887,0.0000024244848,0.0000049318014,0.00054002664,0.9843252,0.010687278,0.0018309393,0.0020474803,0.00019216035],"about_ca_topic_score_codex":0.00001651429,"about_ca_topic_score_gemma":0.0000032791072,"teacher_disagreement_score":0.7565594,"about_ca_system_score_codex":0.000058329915,"about_ca_system_score_gemma":0.000068055044,"threshold_uncertainty_score":0.45367235},"labels":[],"label_agreement":null},{"id":"W3201749287","doi":"10.3390/app11199048","title":"Efficiency of the Vehicle Cabin Air Filters for Removing Black Carbon Particles and BTEX from the Air Intake","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Health Canada; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"BTEX; Filtration (mathematics); Ethylbenzene; Particulates; Toluene; Benzene; Carbon black; Charcoal; Particle (ecology); Xylene; Air filter; Analytical Chemistry (journal); Environmental science; Materials science; Environmental chemistry; Chemical engineering; Chemistry; Composite material; Organic chemistry; Mathematics; Engineering","score_opus":0.036734296324733434,"score_gpt":0.2708001049713273,"score_spread":0.23406580864659385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201749287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98570275,0.000083157276,0.00014010881,0.011199089,0.00008154436,0.0002460913,0.000009000849,0.000011065429,0.0025271692],"genre_scores_gemma":[0.99570775,0.000008850769,0.0009456666,0.0032448224,0.00002799592,0.00001013721,5.356351e-7,0.0000035437338,0.000050671588],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988464,0.00006791367,0.00019480368,0.00028410813,0.00032259963,0.0002841805],"domain_scores_gemma":[0.99909157,0.0004988246,0.00010239932,0.00023004565,0.000006468984,0.00007071623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086178584,0.000079150144,0.00010827756,0.0000062822296,0.0004990038,0.000024268316,0.00035311116,0.00003452399,0.000043790937],"category_scores_gemma":[0.00015197699,0.00004508427,0.000029881645,0.0003568798,0.0014472475,0.00006768022,0.00021869452,0.0000775803,0.000006474923],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014028924,0.00043467295,0.3323093,0.00014917935,0.000035184145,0.0000033570027,0.07469483,0.0239515,0.42490107,0.022824122,0.008708801,0.11184767],"study_design_scores_gemma":[0.0006801099,0.00014140623,0.72214854,0.00006236479,0.000034183526,0.0000021143069,0.017510658,0.037428044,0.19573285,0.020058049,0.0058976756,0.00030400816],"about_ca_topic_score_codex":0.0011335223,"about_ca_topic_score_gemma":0.0011941824,"teacher_disagreement_score":0.38983923,"about_ca_system_score_codex":0.0000332847,"about_ca_system_score_gemma":0.00006447243,"threshold_uncertainty_score":0.5332443},"labels":[],"label_agreement":null},{"id":"W3201901931","doi":"10.3390/app11199123","title":"Effect of Bioaugmentation with Anaerobic Fungi Isolated from Ruminants on the Hydrolysis of Corn Silage and Phragmites australis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Silage; Hemicellulose; Fermentation; Biomass (ecology); Cellulose; Bioaugmentation; Rumen; Phragmites; Biology; Food science; Hydrolysis; Lignin; Straw; Anaerobic exercise; Agronomy; Botany; Chemistry; Microorganism; Biochemistry; Bacteria; Ecology","score_opus":0.008717299925617211,"score_gpt":0.2085215793447548,"score_spread":0.1998042794191376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201901931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999229,0.00013236458,0.000033569664,0.00008118507,0.000046380334,0.00009289983,0.000007865875,0.000017966468,0.00035875462],"genre_scores_gemma":[0.9997858,0.000045955894,0.000117149764,0.000014568709,0.000008778282,0.0000029734758,0.0000062572676,0.0000027895271,0.000015737212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955255,0.000021374026,0.00008666995,0.00013785326,0.00012904331,0.0000725051],"domain_scores_gemma":[0.9997498,0.00009672965,0.00003760375,0.000088417284,0.000011307576,0.000016172282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017506286,0.000065920525,0.000098083096,0.000038676462,0.00005681521,0.000015164459,0.00006479731,0.000028110646,0.000059138918],"category_scores_gemma":[0.0000045802476,0.00003729598,0.000014354856,0.0003647207,0.00019371136,0.00004267327,0.000011764665,0.000039462066,0.0000033036313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031613254,0.000009505826,0.0013871884,0.000041194784,0.000020636648,4.9335694e-7,0.00018412585,0.00040801556,0.99505115,0.000049869686,0.00006642404,0.0027498151],"study_design_scores_gemma":[0.00016783226,0.0001602622,0.0024074921,0.000020096199,0.000024135707,7.082129e-7,0.0003609455,0.0021958419,0.99456435,0.000020340645,0.000028838098,0.00004917386],"about_ca_topic_score_codex":0.000026225547,"about_ca_topic_score_gemma":0.0000057233674,"teacher_disagreement_score":0.0027006413,"about_ca_system_score_codex":0.000005009195,"about_ca_system_score_gemma":0.0000057216753,"threshold_uncertainty_score":0.1520886},"labels":[],"label_agreement":null},{"id":"W3202317978","doi":"10.3390/app11199108","title":"Coupled Dynamic Modeling and Control of Aerial Continuum Manipulation Systems","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Control engineering; Computer science; System dynamics; Lyapunov function; Nonlinear system; Simulation; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.014877914788979105,"score_gpt":0.22439958972814752,"score_spread":0.20952167493916843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202317978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65465283,0.00034067946,0.34368142,0.00002120969,0.00012526984,0.00010726615,0.0000027932633,0.000042603613,0.0010259118],"genre_scores_gemma":[0.99895453,0.000019293899,0.00096047396,0.0000056755002,0.000025580199,0.000019028044,0.0000033016609,0.0000044955154,0.0000075932244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995706,0.0000032383998,0.00013557491,0.00010691508,0.00009476701,0.000088895096],"domain_scores_gemma":[0.99981636,0.000038375085,0.000028152732,0.0000685029,0.000026302276,0.000022285221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011247971,0.00004828782,0.000102186656,0.000023634324,0.00006558452,0.000043234468,0.000054459244,0.000025503621,0.000003410327],"category_scores_gemma":[0.0000065970885,0.00004654658,0.000010417192,0.00013574505,0.000047993566,0.000030534746,0.000009369731,0.000026580465,0.0000017860522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2319124e-7,0.0000041532267,0.00011225701,0.000017791524,0.0000061791657,1.5308105e-7,0.000046509922,0.7893074,0.19076066,0.019610614,0.0000043431073,0.00012899382],"study_design_scores_gemma":[0.00018374358,0.0000031061063,0.00024655068,0.0000067366304,0.000008610581,0.0000015578919,0.00017516444,0.99751145,0.0010308629,0.000763648,0.000015408064,0.000053137763],"about_ca_topic_score_codex":0.000009895279,"about_ca_topic_score_gemma":0.0000151804115,"teacher_disagreement_score":0.34430173,"about_ca_system_score_codex":0.000007328977,"about_ca_system_score_gemma":0.000013563711,"threshold_uncertainty_score":0.18981144},"labels":[],"label_agreement":null},{"id":"W3202952732","doi":"10.3390/app11199145","title":"Publish and Subscribe-Based Formation and Containment Control of Heterogeneous Robotic System with Actuator Time Delay","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"King Fahd University of Petroleum and Minerals","keywords":"Flocking (texture); Computer science; Obstacle avoidance; Distributed computing; Obstacle; Actuator; Control reconfiguration; Interoperability; Control engineering; Middleware (distributed applications); Real-time computing; Embedded system; Engineering; Mobile robot; Robot; Artificial intelligence","score_opus":0.008507614464868581,"score_gpt":0.1879197752965483,"score_spread":0.1794121608316797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202952732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17342977,0.00030057033,0.8244447,0.00045303596,0.00008360013,0.0005530083,0.000013757441,0.0000971096,0.00062441884],"genre_scores_gemma":[0.99549824,0.0000010844512,0.0042800456,0.0001484169,0.0000115797075,0.000038609523,0.0000051810007,0.000004556667,0.00001230031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836046,0.00008522068,0.00031313574,0.00044168785,0.0005140487,0.0002854437],"domain_scores_gemma":[0.9990274,0.00018172822,0.00023123914,0.0002904962,0.00013927981,0.00012991036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006487538,0.00015201856,0.00031220727,0.000084725754,0.0001915921,0.0005119215,0.00038976598,0.000046005553,0.0000029976381],"category_scores_gemma":[0.000022044087,0.00011627865,0.000022452828,0.0003792749,0.000200808,0.0005191521,0.000075464646,0.000048526224,0.000005988238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038232398,0.00072440103,0.009883931,0.0015852186,0.00061262236,0.00041484472,0.0040886854,0.07092925,0.3297058,0.5465069,0.0004810588,0.034684982],"study_design_scores_gemma":[0.0030899358,0.0002600444,0.0007947063,0.00011436831,0.000047124213,0.00017460456,0.00055869564,0.97383696,0.020572841,0.00008593031,0.00014571742,0.0003190918],"about_ca_topic_score_codex":0.000018274926,"about_ca_topic_score_gemma":0.000022775741,"teacher_disagreement_score":0.90290767,"about_ca_system_score_codex":0.00005511314,"about_ca_system_score_gemma":0.00015186174,"threshold_uncertainty_score":0.49364704},"labels":[],"label_agreement":null},{"id":"W3203112560","doi":"10.3390/app11199028","title":"Comparison of Palliative Care Models in Idiopathic Pulmonary Fibrosis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Alberta Health Services; University of Alberta","funders":"","keywords":"Medicine; Idiopathic pulmonary fibrosis; Palliative care; Intensive care medicine; Internal medicine; Lung; Nursing","score_opus":0.04554483411401258,"score_gpt":0.332651639627943,"score_spread":0.2871068055139304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203112560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92495185,0.0097445585,0.0003082009,0.00033024035,0.00012958371,0.0002913045,0.000031039446,0.000031429496,0.06418178],"genre_scores_gemma":[0.9986637,0.000075512224,0.0009924148,0.000114393755,0.000057638816,0.000026503178,0.000020723754,0.000007934168,0.000041148593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853563,0.000032000862,0.0003621123,0.0003826156,0.0004358017,0.00025183847],"domain_scores_gemma":[0.9994547,0.000043505213,0.00009909882,0.00018928615,0.00011983069,0.00009358043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015750692,0.00012813279,0.00041705492,0.00010952291,0.00010419515,0.000017721159,0.00014801188,0.000078323974,0.000042528685],"category_scores_gemma":[0.000022274055,0.00011147744,0.000104624196,0.00064323226,0.0003115954,0.000093197035,0.000084530206,0.00015008643,0.000008562154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037832304,0.0025355625,0.3189642,0.0031709953,0.000092023954,0.00045794997,0.021506073,0.009713534,0.50386405,0.112707496,0.0003271383,0.02287776],"study_design_scores_gemma":[0.0037407395,0.0069345525,0.27851138,0.006873806,0.0005425659,0.000054969685,0.17827716,0.12038106,0.37536258,0.026634539,0.00089456845,0.0017920762],"about_ca_topic_score_codex":0.00005999256,"about_ca_topic_score_gemma":0.000019737783,"teacher_disagreement_score":0.1567711,"about_ca_system_score_codex":0.000063971114,"about_ca_system_score_gemma":0.0003613095,"threshold_uncertainty_score":0.4545918},"labels":[],"label_agreement":null},{"id":"W3203424296","doi":"10.3390/app11198960","title":"Evolution of Fusarium Head Blight Management in Wheat: Scientific Perspectives on Biological Control Agents and Crop Genotypes Protocooperation","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Wheat Development Commission","keywords":"Fusarium; Cultivar; Agronomy; Fungicide; Biology; Crop; Disease control; Biological pest control; Biotechnology; Agroforestry; Geography; Horticulture","score_opus":0.02700283677489857,"score_gpt":0.249932681962191,"score_spread":0.22292984518729245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203424296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893758,0.00041645777,0.000014667868,0.00060928665,0.000068972644,0.0010545639,0.000010654953,0.000018923645,0.008430626],"genre_scores_gemma":[0.9993557,0.00003991488,0.00017676277,0.00006363735,0.000055189506,0.00018206221,0.000014622281,3.530827e-7,0.000111811954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986892,0.00006892439,0.00019939146,0.0005262144,0.0002803677,0.00023591414],"domain_scores_gemma":[0.99973816,0.000049601207,0.000049154838,0.00005357754,0.00006645682,0.0000430296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051479694,0.000110217115,0.00015278991,0.00003669604,0.00037234242,0.00013369466,0.00018238413,0.000067666646,0.00010604219],"category_scores_gemma":[0.000016898324,0.000036278077,0.000031529584,0.00070251763,0.00035655964,0.00008459747,0.00006759974,0.000071536335,0.000014079162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047194193,0.00029467206,0.0038105915,0.0000073972415,0.000009027613,0.000003616412,0.000498181,0.000072797404,0.89075637,0.09846328,0.00008396968,0.0059529073],"study_design_scores_gemma":[0.0013498027,0.0013521626,0.70968866,0.00007624282,0.000022416392,0.000012621037,0.016038384,0.00042650514,0.25002354,0.0070269085,0.013349431,0.00063333183],"about_ca_topic_score_codex":0.000018286193,"about_ca_topic_score_gemma":0.0001950496,"teacher_disagreement_score":0.7058781,"about_ca_system_score_codex":0.00003298929,"about_ca_system_score_gemma":0.000011784735,"threshold_uncertainty_score":0.28637946},"labels":[],"label_agreement":null},{"id":"W3204255449","doi":"10.3390/app11198840","title":"Optimizing Non-Glare Zone Width of Adaptive Driving Beam (ADB) Using Fuzzy Logic Control","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"GLARE; Visibility; Computer science; Simulation; Optics; Automotive engineering; Engineering; Materials science; Physics","score_opus":0.02734679836165033,"score_gpt":0.25934286527706873,"score_spread":0.2319960669154184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204255449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936839,0.00012343092,0.020255195,0.00028234097,0.000113836184,0.0002651249,0.0000047297212,0.000025107216,0.04209126],"genre_scores_gemma":[0.96017367,0.000025538557,0.039147444,0.00049715757,0.00004701257,0.000007085251,0.0000016541,0.0000101149935,0.00009032538],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786645,0.000037795733,0.00031828697,0.00048797808,0.00066800875,0.0006214977],"domain_scores_gemma":[0.9992636,0.00010188302,0.00022273383,0.00022658733,0.000007433617,0.00017780223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008095618,0.0001821444,0.00030283688,0.00005183484,0.00051654,0.000046595214,0.00035566144,0.00007417111,0.00089304644],"category_scores_gemma":[0.000020278068,0.0001563481,0.00006646809,0.0005086226,0.00081613427,0.00030013217,0.00021291086,0.00014119019,0.000088907196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004360675,0.0003238914,0.107040904,0.000024234721,0.000032662138,0.000025753507,0.002800482,0.06417352,0.8177374,0.002967093,0.00012696163,0.004703499],"study_design_scores_gemma":[0.0054954095,0.0014295515,0.4960873,0.0003123849,0.00026909428,0.00008761743,0.016277589,0.0481994,0.41601676,0.010981361,0.002181879,0.0026616424],"about_ca_topic_score_codex":0.0001228505,"about_ca_topic_score_gemma":0.000058332702,"teacher_disagreement_score":0.40172064,"about_ca_system_score_codex":0.00016568245,"about_ca_system_score_gemma":0.00007849975,"threshold_uncertainty_score":0.97782326},"labels":[],"label_agreement":null},{"id":"W3204419060","doi":"10.3390/app11199110","title":"Carbenoxolone as a Multifunctional Vehicle for Electrodeposition of Materials","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electrophoretic Deposition in Materials Science","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Carbenoxolone; Materials science; Dielectric spectroscopy; Chemical engineering; Microstructure; Electrophoretic deposition; Composite material; Electrochemistry; Electrode; Chemistry; Coating","score_opus":0.007668699547232304,"score_gpt":0.22121771697297393,"score_spread":0.21354901742574162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204419060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874462,0.00010096752,0.0072737574,0.00006503928,0.0003639157,0.00014389411,0.00001986957,0.000078531404,0.004507863],"genre_scores_gemma":[0.9911559,0.000014493354,0.008578178,0.00006027279,0.00006404856,0.00007956785,0.000012507392,0.000008127844,0.000026909913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991247,0.000013140313,0.0002060182,0.0002019591,0.00023073817,0.0002234188],"domain_scores_gemma":[0.99969345,0.00006829927,0.000039071136,0.00009953733,0.00006748413,0.00003216901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026787393,0.000079320875,0.00013188123,0.000047111465,0.00012837096,0.0000625149,0.00013763049,0.000039120045,0.00012303196],"category_scores_gemma":[0.00002315101,0.00007765955,0.00002355692,0.00030558364,0.00016748074,0.00007519169,0.000017027323,0.000027176497,0.00001546383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010371738,0.000011515735,0.0000056393274,0.00002752756,0.0000052495934,6.4577904e-7,0.00003987389,0.0024847046,0.9689508,0.028220868,0.00012271947,0.00012007748],"study_design_scores_gemma":[0.00014930665,0.00006472767,0.00018646939,0.0000086947675,0.0000074489553,0.000017119652,0.000042185773,0.0015206757,0.9907511,0.007093547,0.000069117916,0.00008959149],"about_ca_topic_score_codex":0.0000075219355,"about_ca_topic_score_gemma":0.000002755617,"teacher_disagreement_score":0.021800308,"about_ca_system_score_codex":0.000027184753,"about_ca_system_score_gemma":0.00006521114,"threshold_uncertainty_score":0.31668645},"labels":[],"label_agreement":null},{"id":"W3204837856","doi":"10.3390/app11198920","title":"Fresh State, Rheological and Microstructural Characteristics of Alkali-Activated Mortars Developed Using Novel Dry Mixing Technique under Ambient Conditions","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Sodium hydroxide; Reagent; Rheology; Compressive strength; Calcium hydroxide; Mortar; Viscosity; Composite material; Apparent viscosity; Chemical engineering; Mineralogy; Chemistry; Organic chemistry","score_opus":0.040077665835415645,"score_gpt":0.2883830221578463,"score_spread":0.24830535632243064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204837856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917126,0.000023834924,0.007393012,0.000013222318,0.00007113582,0.00015328146,0.00006017624,0.000045327677,0.0005273929],"genre_scores_gemma":[0.99146783,0.000027211894,0.008391157,0.000040908002,0.000011789141,0.000017014036,0.00002795023,0.000007424976,0.000008736606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991532,0.000014052308,0.00022155792,0.00019343392,0.00017803177,0.00023971916],"domain_scores_gemma":[0.9997234,0.000050537656,0.000040041694,0.00008468241,0.000051674913,0.00004970962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789861,0.00010294819,0.0001722551,0.00006918848,0.00015087279,0.000080573256,0.000110990244,0.000048419388,0.00013756924],"category_scores_gemma":[0.000012924144,0.00009223462,0.000015585349,0.000315186,0.00031795868,0.00008161067,0.00010288649,0.00008252202,0.0000010348253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037667664,0.0000051874745,0.00045328762,0.000028980368,0.000014346072,0.0000026031732,0.00007236358,0.00034153173,0.9979863,0.00095175894,0.0000069248904,0.00013292463],"study_design_scores_gemma":[0.00012894023,0.000012232377,0.012324053,0.000023174181,0.0000058200167,0.000007901083,0.00038086527,0.0015215927,0.9849032,0.00051718275,0.0000440024,0.0001310042],"about_ca_topic_score_codex":0.000025311245,"about_ca_topic_score_gemma":0.000007517601,"teacher_disagreement_score":0.013083093,"about_ca_system_score_codex":0.000027860313,"about_ca_system_score_gemma":0.00007740246,"threshold_uncertainty_score":0.37612188},"labels":[],"label_agreement":null},{"id":"W3205144720","doi":"10.3390/app11199317","title":"Wear of 17-4 PH Stainless Steel Patterned Surfaces Fabricated Using Selective Laser Melting","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Università della Calabria; University of Portsmouth","keywords":"Lubricant; Materials science; Dimple; Tribology; Ball (mathematics); Selective laser melting; Fabrication; Composite material; Prism; Laser; Metallurgy; Optics; Microstructure; Geometry","score_opus":0.020048762802649906,"score_gpt":0.23797741333667427,"score_spread":0.21792865053402435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205144720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775384,0.00025917657,0.017552204,0.000024860461,0.000104244595,0.00007668392,0.0000059479357,0.00014962428,0.0042888443],"genre_scores_gemma":[0.9964249,0.000010820752,0.0034646646,0.00002130846,0.000021551812,0.000006833749,0.0000033669048,0.000011084506,0.000035438894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991593,0.000019170782,0.00019717816,0.00021148684,0.00016582722,0.00024705433],"domain_scores_gemma":[0.9996275,0.000117408585,0.000048534264,0.00011442053,0.000053182088,0.000038972215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024357048,0.00010888557,0.00017278326,0.00008597125,0.00011381337,0.00002439134,0.00016770783,0.0000591404,0.00004121812],"category_scores_gemma":[0.00002111227,0.00010861467,0.0000264082,0.0008719022,0.00011454939,0.00010571822,0.00003506745,0.00011335952,0.0000048516763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018415179,0.000014573493,0.0020317873,0.000029240457,0.000028563256,0.0000021347573,0.0005693141,0.5290613,0.46717504,0.00058377685,0.000061009843,0.00044141387],"study_design_scores_gemma":[0.00020395042,0.000011004992,0.008630857,0.000020994348,0.000016981394,0.0000073332203,0.0014383435,0.16325547,0.8258182,0.00015184747,0.00023543333,0.00020961578],"about_ca_topic_score_codex":0.000009386412,"about_ca_topic_score_gemma":0.000008393332,"teacher_disagreement_score":0.36580583,"about_ca_system_score_codex":0.000031740445,"about_ca_system_score_gemma":0.000049901086,"threshold_uncertainty_score":0.44291776},"labels":[],"label_agreement":null},{"id":"W3205636459","doi":"10.3390/app11199208","title":"A Multifeatured Data-Driven Homogenization for Heterogeneous Elastic Solids","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Material Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogenization (climate); Finite element method; Nonlinear system; Materials science; Computer science; Structural engineering; Engineering; Physics","score_opus":0.028713357654710517,"score_gpt":0.25104702393756073,"score_spread":0.22233366628285023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205636459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61445504,0.000401064,0.37975264,0.000090843954,0.0023286762,0.00060603814,0.0001982962,0.0006213617,0.0015460309],"genre_scores_gemma":[0.9749273,0.000008759808,0.024761235,0.000035857815,0.0001195424,0.000023850775,0.0000950885,0.000014740231,0.000013634576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992937,0.0000062151166,0.00011358638,0.000263417,0.00012860727,0.00019448198],"domain_scores_gemma":[0.9995972,0.00005319435,0.000016785467,0.00026702823,0.000026563397,0.000039214498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089069625,0.00008917401,0.00010378055,0.000036197373,0.00012513067,0.00012423292,0.00034684557,0.00003305695,0.00002255007],"category_scores_gemma":[0.000023662386,0.00008847349,0.000016549442,0.00024263003,0.00003115092,0.000073188094,0.00012430886,0.00003174344,0.000019082896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059663435,0.00002033531,0.0000063897105,0.000048413953,0.000020375746,0.0000043493283,0.00017757752,0.19675392,0.7950842,0.0030740274,0.00037508918,0.0044293967],"study_design_scores_gemma":[0.00018253202,0.000020808118,0.000012440455,0.0000081089265,0.000019727797,0.00001266206,0.00004276918,0.730041,0.26617327,0.00066864764,0.0026552922,0.00016270249],"about_ca_topic_score_codex":8.8301374e-7,"about_ca_topic_score_gemma":0.000022663515,"teacher_disagreement_score":0.5332871,"about_ca_system_score_codex":0.000018665472,"about_ca_system_score_gemma":0.000027927985,"threshold_uncertainty_score":0.36078444},"labels":[],"label_agreement":null},{"id":"W3205806380","doi":"10.3390/app11199239","title":"Preliminary Evaluation of an Adaptive Robotic Training Program of the Wrist for Persons with Multiple Sclerosis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Wrist; Physical medicine and rehabilitation; Robotics; Isometric exercise; Ulnar deviation; Medicine; Kinematics; Physical therapy; Population; Artificial intelligence; Computer science; Robot; Surgery","score_opus":0.14294264508773566,"score_gpt":0.33466187296459654,"score_spread":0.19171922787686088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205806380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996403,0.00008292922,0.0004809186,0.0002218549,0.00005109356,0.0010310235,0.000004720897,0.000009901171,0.0017145886],"genre_scores_gemma":[0.9627422,0.000001100037,0.03701619,0.00002521791,0.000017309336,0.00016403962,0.0000033977162,0.0000034984891,0.000027060954],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991457,0.000039879564,0.00012216342,0.00016706374,0.0004320279,0.00009319558],"domain_scores_gemma":[0.99930906,0.00024754592,0.00009300092,0.0001137546,0.00020729034,0.000029368044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061092305,0.000048867987,0.00013241504,0.00003747774,0.00010745049,0.0000072964667,0.00006555408,0.000023941295,0.00001088543],"category_scores_gemma":[0.00017980122,0.000027929775,0.000054568496,0.00034294475,0.00046200393,0.000044239143,0.000010847895,0.0000349521,1.6270967e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014096246,0.002151237,0.030376064,0.0003946868,0.00019860438,5.003983e-7,0.035168532,0.031652227,0.22367215,0.0037572938,0.00011961197,0.6710995],"study_design_scores_gemma":[0.0033672536,0.0060931346,0.6145809,0.0004337825,0.00048196822,0.000012780246,0.1290177,0.17573133,0.0697603,0.0003442036,0.000036632286,0.00013997861],"about_ca_topic_score_codex":0.000007868736,"about_ca_topic_score_gemma":0.000028028466,"teacher_disagreement_score":0.6709595,"about_ca_system_score_codex":0.000018593091,"about_ca_system_score_gemma":0.00046039143,"threshold_uncertainty_score":0.17022727},"labels":[],"label_agreement":null},{"id":"W3205856300","doi":"10.3390/app9245430","title":"Rotomolding of Thermoplastic Elastomers Based on Low-Density Polyethylene and Recycled Natural Rubber","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Low-density polyethylene; Natural rubber; Thermoplastic; Elastomer; Extrusion; Thermoplastic elastomer; Polyethylene; High-density polyethylene; Polymer; Copolymer","score_opus":0.005947413955298047,"score_gpt":0.20467356424626873,"score_spread":0.19872615029097068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205856300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944965,0.00013324927,0.0000427115,0.00008684887,0.00029467756,0.00017349848,0.0000032785456,0.000033033433,0.0047361627],"genre_scores_gemma":[0.9991154,0.0000032607757,0.00047052346,0.00028374972,0.000020002186,0.000008364636,5.244594e-7,0.0000064754695,0.000091707974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882984,0.00003852638,0.00016691974,0.00034194917,0.00035609567,0.00026669522],"domain_scores_gemma":[0.9994274,0.00022924929,0.00010455024,0.00016506625,0.000018789775,0.000054961543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042775646,0.00012679568,0.0001998747,0.00009882548,0.00017384904,0.00007173042,0.00026106936,0.000039152765,0.00017368869],"category_scores_gemma":[0.000012864688,0.00008636733,0.000029672743,0.0002268178,0.00040286436,0.00011104138,0.0000725087,0.000063539184,0.00006197777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098328615,0.000018835543,0.0011492613,0.000018197312,0.0000018264959,4.2220842e-7,0.00012942693,0.00014604362,0.99626404,0.0009794714,0.000009356485,0.0011847825],"study_design_scores_gemma":[0.0002894876,0.00013133895,0.0034585227,0.000049853385,0.000005976511,0.0000017558813,0.000100717014,0.0034503664,0.9921979,0.00014933705,0.000025710968,0.00013908843],"about_ca_topic_score_codex":0.00007299129,"about_ca_topic_score_gemma":0.0000047579515,"teacher_disagreement_score":0.0046444545,"about_ca_system_score_codex":0.0000129793325,"about_ca_system_score_gemma":0.000047717105,"threshold_uncertainty_score":0.35219574},"labels":[],"label_agreement":null},{"id":"W3206430249","doi":"10.3390/app11209605","title":"Applications of Plant Polymer-Based Solid Foams: Current Trends in the Food Industry","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Materials science; Polymer; Nanotechnology; Process engineering; Composite material; Engineering","score_opus":0.05206951483237548,"score_gpt":0.28222467784062444,"score_spread":0.23015516300824895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206430249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92298084,0.04415272,0.0011366244,0.005085847,0.00046801136,0.0003877647,0.00036393708,0.00008190179,0.02534235],"genre_scores_gemma":[0.99922836,0.000014675201,0.00026346275,0.00023248083,0.000048687212,0.00016765522,0.0000074885893,0.0000038679887,0.000033315566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998647,0.0000816539,0.00027298505,0.00031995942,0.00041016433,0.00026824066],"domain_scores_gemma":[0.9993929,0.00013966438,0.00011009371,0.00029950062,0.000019963036,0.00003787843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067441503,0.00011018219,0.00017119311,0.00011527063,0.00025810578,0.00009918773,0.00063139177,0.00007321361,0.00030849865],"category_scores_gemma":[0.000008904333,0.000065913206,0.00004260764,0.00094292354,0.00048769874,0.000066550056,0.000058125683,0.00015134667,0.000014748026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033526136,0.0007154559,0.0013424689,0.00007119067,0.000009169051,0.0000020527054,0.0020113841,0.000038652746,0.5201552,0.055653714,0.0012672805,0.41869995],"study_design_scores_gemma":[0.00010986128,0.0000420721,0.00031390414,0.000021832384,0.000008602094,0.0000026840055,0.0014295565,0.00008743503,0.9930761,0.00042680738,0.0043720673,0.000109095236],"about_ca_topic_score_codex":0.00006559102,"about_ca_topic_score_gemma":0.00013409829,"teacher_disagreement_score":0.47292092,"about_ca_system_score_codex":0.000009416772,"about_ca_system_score_gemma":0.00019283356,"threshold_uncertainty_score":0.33778438},"labels":[],"label_agreement":null},{"id":"W3206724243","doi":"10.3390/app11209628","title":"Minimally Invasive Metatarsal Osteotomies (MIMOs) for the Treatment of Plantar Diabetic Forefoot Ulcers (PDFUs): A Systematic Review and Meta-Analysis with Meta-Regressions","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Medicine; Meta-analysis; Forefoot; Diabetic foot; Surgery; Critical appraisal; Confidence interval; Complication; Systematic review; MEDLINE; Internal medicine; Diabetes mellitus; Pathology","score_opus":0.13153942256288675,"score_gpt":0.36854475859199365,"score_spread":0.2370053360291069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206724243","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009528606,0.98603475,0.000054303113,0.00053717324,0.000026071146,0.012518467,0.00018887398,0.000019421972,0.0006113979],"genre_scores_gemma":[0.00022142589,0.9809582,0.0024793856,0.00028023002,0.000014147734,0.014957451,0.00015503124,0.000030414343,0.0009036985],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99652076,0.00021922351,0.0012073686,0.0008966821,0.00073977787,0.0004161687],"domain_scores_gemma":[0.99490225,0.0027308308,0.0011869073,0.00090603787,0.00013036068,0.00014361281],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014190963,0.0007550987,0.012290624,0.0004010445,0.00026855266,0.000114196664,0.00050164835,0.0000851907,0.00020793805],"category_scores_gemma":[0.000083587496,0.00027215635,0.0032842115,0.001588128,0.00067711354,0.00006407008,0.00010965486,0.00009956082,0.0000035341372],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000896048,0.00014664824,9.27006e-7,0.4079493,0.5888603,0.000006935964,0.00015043696,0.0000038326257,3.0953626e-7,0.0009775927,0.00018051417,0.0017142307],"study_design_scores_gemma":[0.0002809949,0.0008646723,5.922344e-7,0.008961408,0.9600531,0.0000089567275,0.0005822689,0.0000060264338,0.000015436008,0.000018537326,0.028936788,0.00027122986],"about_ca_topic_score_codex":0.000037574784,"about_ca_topic_score_gemma":0.00020716565,"teacher_disagreement_score":0.3989879,"about_ca_system_score_codex":0.000090155954,"about_ca_system_score_gemma":0.000619395,"threshold_uncertainty_score":0.99997306},"labels":[],"label_agreement":null},{"id":"W3206857113","doi":"10.3390/app11209544","title":"Effects of Viscoelasticity on the Stress Evolution over the Lifetime of Filament-Wound Composite Flywheel Rotors for Energy Storage","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Flywheel; Viscoelasticity; Composite number; Materials science; Structural engineering; Rotor (electric); Stress (linguistics); Composite material; Engineering; Mechanical engineering","score_opus":0.009825154236296233,"score_gpt":0.2328837130082872,"score_spread":0.22305855877199096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206857113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5896911,0.00016897479,0.40838283,0.00007725037,0.00016338569,0.00034355719,0.000021619351,0.00003656388,0.0011147556],"genre_scores_gemma":[0.99938965,0.000007630147,0.00043639087,0.000014393742,0.00003123658,0.000083630584,0.0000020945101,0.0000055521064,0.00002939536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993143,0.000026115222,0.00012525113,0.00011218848,0.00027917448,0.00014298393],"domain_scores_gemma":[0.9987906,0.0009921219,0.000025050425,0.00013644896,0.000028834507,0.000026895901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023509855,0.00006839261,0.00010052565,0.000038226543,0.00013031112,0.000027725517,0.00022003453,0.000030316065,0.000018566745],"category_scores_gemma":[0.000075630596,0.000040087394,0.000038135444,0.00032409915,0.000116222574,0.000029035848,0.000035251094,0.00007130953,0.0000012231765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008978652,0.00004884137,0.000009036091,0.00012308871,0.000027415326,2.3041835e-7,0.000079949976,0.3346031,0.4656228,0.19880198,0.00024505498,0.00042951177],"study_design_scores_gemma":[0.00013376838,0.00006491643,0.0009056917,0.00004175194,0.000009215354,1.741391e-7,0.000057560013,0.48375487,0.51405686,0.000755267,0.00016218203,0.00005773923],"about_ca_topic_score_codex":0.000015200409,"about_ca_topic_score_gemma":0.0000062188897,"teacher_disagreement_score":0.4096986,"about_ca_system_score_codex":0.000021121788,"about_ca_system_score_gemma":0.00002941269,"threshold_uncertainty_score":0.16347165},"labels":[],"label_agreement":null},{"id":"W3206891111","doi":"10.3390/app11209697","title":"Anti-Inflammatory Activity of Cnidoscolus aconitifolius (Mill.) Ethyl Acetate Extract on Croton Oil-Induced Mouse Ear Edema","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medicinal plant effects and applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Croton oil; Ethyl acetate; Flavonoid; Antioxidant; Traditional medicine; Chemistry; Pharmacology; Croton; Edema; Inflammation; Medicine; Biochemistry; Immunology; Surgery","score_opus":0.03526596839019977,"score_gpt":0.3085065296793152,"score_spread":0.27324056128911545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206891111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961713,0.000057779198,0.00007649491,0.0009892285,0.00011751265,0.00037888184,0.000013409141,0.00006139563,0.036592294],"genre_scores_gemma":[0.9979327,0.00008972768,0.00039713466,0.0005504582,0.00013854729,0.00008258723,0.000009222488,0.000014111406,0.00078556023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980408,0.00005754172,0.00029450387,0.0005256421,0.0006796262,0.00040190635],"domain_scores_gemma":[0.99870217,0.00038946015,0.00020084332,0.0004136325,0.000086815984,0.00020710159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084875576,0.00019690747,0.00046063427,0.00013021118,0.0003016978,0.000038352693,0.00020892489,0.00011670311,0.00014908597],"category_scores_gemma":[0.00012055542,0.00015316579,0.00008560617,0.00053235673,0.00036836037,0.00008645609,0.00006457207,0.00029503272,0.0000877811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007388792,0.00021427705,0.0004000792,0.00014236486,0.00002511113,0.00004271794,0.00012889244,0.00003168892,0.97811913,0.0021355774,0.00027968013,0.018406598],"study_design_scores_gemma":[0.0008424858,0.00024117569,0.013958027,0.00014886814,0.000058436388,0.000040485153,0.0002854148,0.00034643576,0.9822215,0.00008909837,0.0015950073,0.00017306641],"about_ca_topic_score_codex":0.000048199312,"about_ca_topic_score_gemma":0.000018011015,"teacher_disagreement_score":0.036219645,"about_ca_system_score_codex":0.0000335958,"about_ca_system_score_gemma":0.0004099505,"threshold_uncertainty_score":0.62459195},"labels":[],"label_agreement":null},{"id":"W3207108977","doi":"10.3390/app11219787","title":"A Many-Objective Simultaneous Feature Selection and Discretization for LCS-Based Gesture Recognition","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Feature selection; Dimensionality reduction; Computer science; Dynamic time warping; Pattern recognition (psychology); Artificial intelligence; Benchmark (surveying); Algorithm; Mathematical optimization; Mathematics","score_opus":0.016804780747618507,"score_gpt":0.2523224487273044,"score_spread":0.2355176679796859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207108977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029102009,0.00017846371,0.96405756,0.0022140015,0.0003236985,0.0006818494,0.0000177747,0.00020916863,0.003215459],"genre_scores_gemma":[0.93785864,0.000010297869,0.06115358,0.0005241484,0.00013882475,0.0001394606,0.000033186905,0.0000073235597,0.00013455526],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998569,0.00006830832,0.00015135328,0.0006519798,0.0003113322,0.0002479914],"domain_scores_gemma":[0.9989313,0.00047408117,0.0001140288,0.00013004504,0.00027352123,0.000077042765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041943937,0.00014518181,0.00016079399,0.00011768077,0.00052161596,0.00042092518,0.00020500412,0.00012090229,0.0000060830635],"category_scores_gemma":[0.00014084853,0.00012418015,0.000040932304,0.0010402565,0.00008646861,0.0002899778,0.00004480789,0.000110597786,0.000012058522],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015563135,0.00043228982,0.0016678221,0.00043531292,0.000113570626,0.0000445338,0.0057996726,0.0073998696,0.120223776,0.090333536,0.0028917028,0.77050227],"study_design_scores_gemma":[0.0031495336,0.0007871767,0.0027769383,0.00028919827,0.00009473938,0.00036143075,0.002330885,0.6535502,0.2578682,0.058719154,0.018508932,0.0015636372],"about_ca_topic_score_codex":0.000004377458,"about_ca_topic_score_gemma":0.00006893683,"teacher_disagreement_score":0.9087566,"about_ca_system_score_codex":0.00003617683,"about_ca_system_score_gemma":0.00017733239,"threshold_uncertainty_score":0.50639194},"labels":[],"label_agreement":null},{"id":"W3207391778","doi":"10.3390/app11209676","title":"Thin Film Gas Sensors Based on Planetary Ball-Milled Zinc Oxide Nanoinks: Effect of Milling Parameters on Sensing Performance","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; Thin film; Chemical engineering; Relative humidity; Adsorption; Analytical Chemistry (journal); Nanoparticle; Scanning electron microscope; Argon; Nanotechnology; Composite material; Chemistry","score_opus":0.009575157228954733,"score_gpt":0.1910687793481592,"score_spread":0.18149362211920445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207391778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99482036,0.000031966105,0.000035143985,0.00004169904,0.00047512935,0.00018255052,0.000008110771,0.00016691822,0.004238137],"genre_scores_gemma":[0.99387795,0.00002755461,0.0058557754,0.00014900445,0.000035559726,0.0000017536122,0.000014871361,0.000026096039,0.000011420964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825126,0.00009357498,0.00034281032,0.0004075634,0.00046804428,0.0004367651],"domain_scores_gemma":[0.99883187,0.00069442054,0.00007932005,0.00028893695,0.000022813883,0.000082635845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063294236,0.00028582016,0.0004343493,0.00016273395,0.00021805143,0.000077154175,0.00015527332,0.00010542481,0.000025416703],"category_scores_gemma":[0.000060813425,0.00023241476,0.00008216059,0.00039007765,0.00018116638,0.0000522606,0.000019254598,0.00015134206,0.00004211263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005181779,0.000007375205,0.00012171982,0.00008010716,0.000012316874,0.000023243785,0.00009940092,0.73685944,0.2620619,0.000022413105,0.000063989384,0.00059629313],"study_design_scores_gemma":[0.00026689642,0.00015227235,0.00031123395,0.00013020792,0.0000135004975,0.000008381263,0.0000638499,0.45018616,0.54865974,0.000009637702,0.000029778921,0.00016832934],"about_ca_topic_score_codex":0.000020701887,"about_ca_topic_score_gemma":0.000007160731,"teacher_disagreement_score":0.28667325,"about_ca_system_score_codex":0.00003709765,"about_ca_system_score_gemma":0.00003289744,"threshold_uncertainty_score":0.94775987},"labels":[],"label_agreement":null},{"id":"W3207590057","doi":"10.3390/app11209542","title":"Operator and Graph Theoretic Techniques for Distinguishing Quantum States via One-Way LOCC","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"LOCC; Operator (biology); Computer science; Quantum; Mathematics; Graph; Theoretical computer science; Quantum mechanics; Physics; Bipartite graph","score_opus":0.014914735723090194,"score_gpt":0.2491320678283123,"score_spread":0.2342173321052221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207590057","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05840901,0.00021378962,0.9320743,0.00088238216,0.00014600302,0.00026611384,0.000005178624,0.00026215755,0.007741087],"genre_scores_gemma":[0.91327405,0.000047347115,0.08557237,0.0009964728,0.000027756783,0.00006738221,0.0000040309255,0.0000041909884,0.0000064123697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987703,0.000024818792,0.00023926748,0.00037428626,0.00029364854,0.00029767578],"domain_scores_gemma":[0.99927723,0.00019314868,0.000090035326,0.00023568723,0.00011269857,0.000091176065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081013236,0.00012342227,0.00014970188,0.00013251,0.0005986106,0.0008193672,0.0006066197,0.000039873677,0.000008385909],"category_scores_gemma":[0.000053804837,0.00010114295,0.000046059708,0.0008628808,0.0004527913,0.0005061988,0.00017880776,0.00007418041,0.000004828378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018238253,0.000019075433,0.000115304814,0.000023205966,0.000004421655,6.4972767e-7,0.0008907545,0.000009409752,0.0024355468,0.9757743,0.00015880317,0.020566693],"study_design_scores_gemma":[0.00024009256,0.00014369348,0.0003417274,0.000046521516,0.000008978764,0.000017843759,0.001417257,0.07682486,0.10193508,0.8149098,0.0037056461,0.00040847616],"about_ca_topic_score_codex":0.000007787897,"about_ca_topic_score_gemma":0.0000066618027,"teacher_disagreement_score":0.854865,"about_ca_system_score_codex":0.0000068265194,"about_ca_system_score_gemma":0.000066839224,"threshold_uncertainty_score":0.7901176},"labels":[],"label_agreement":null},{"id":"W3207722144","doi":"10.3390/app11093830","title":"Theoretical and Experimental Analysis for Cleaning Ice Cores from EstisolTM 140 Drill Liquid","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Horizon 2020 Framework Programme","keywords":"Sublimation (psychology); Ice core; Coring; Defrosting; Geology; Drill; Drilling; Petroleum engineering; Environmental science; Petrology; Mechanical engineering; Engineering; Oceanography; Heat exchanger","score_opus":0.011657665432670715,"score_gpt":0.24247461920182276,"score_spread":0.23081695376915204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207722144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831866,0.0014635838,0.010872464,0.0001127386,0.00007612569,0.000065242595,0.000008623095,0.00026401386,0.003950636],"genre_scores_gemma":[0.9894205,0.00003350751,0.010422307,0.000040969862,0.000030453313,0.000033090208,0.0000053593476,0.000006709056,0.0000071113927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993367,0.000003962576,0.00009722574,0.00024915198,0.000120706405,0.00019224225],"domain_scores_gemma":[0.9996648,0.0001544151,0.000013719908,0.00012003942,0.000010069384,0.00003699355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089574896,0.00009320471,0.00015101822,0.000063562904,0.00013708168,0.000078984376,0.00015566575,0.000059031627,0.00011639501],"category_scores_gemma":[0.000025797353,0.00008108768,0.000044338067,0.00042044974,0.0003941976,0.000051046314,0.00007197664,0.00005192174,0.0000032896892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031031064,0.00002331935,0.0013600026,0.000007737204,0.00024484884,0.0000055890982,0.001106073,0.0043584257,0.57366574,0.41569197,0.00029365887,0.0032115902],"study_design_scores_gemma":[0.0002390382,0.000082419545,0.00080424006,0.000006184538,0.00012509736,0.0000023583705,0.0104426,0.048228167,0.92819697,0.011165872,0.00045439924,0.00025262876],"about_ca_topic_score_codex":0.0000065267786,"about_ca_topic_score_gemma":0.000022524,"teacher_disagreement_score":0.40452608,"about_ca_system_score_codex":0.000011622542,"about_ca_system_score_gemma":0.000011359386,"threshold_uncertainty_score":0.33066598},"labels":[],"label_agreement":null},{"id":"W3207899156","doi":"10.3390/app11093818","title":"Vitamin D and Primary Ciliary Dyskinesia: A Topic to Be Further Explored","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Alberta; University of Ottawa","funders":"","keywords":"Primary ciliary dyskinesia; Malabsorption; Disease; Medicine; Lung function; Vitamin; Physiology; Population; Pathology; Gastroenterology; Bioinformatics; Internal medicine; Lung; Biology; Bronchiectasis","score_opus":0.029681002137953653,"score_gpt":0.2997506561037325,"score_spread":0.27006965396577887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207899156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621557,0.00061828,0.0004093956,0.013008263,0.00007515365,0.0003341374,0.0000040330037,0.000047469443,0.02334757],"genre_scores_gemma":[0.97283393,0.000059636328,0.022907853,0.002870993,0.0000958692,0.00008027895,0.0000064990923,0.000008399544,0.0011365614],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99857473,0.000019008592,0.00014026136,0.00042830978,0.0005298618,0.0003078445],"domain_scores_gemma":[0.9993499,0.00016170324,0.000020549602,0.00021004515,0.000054182547,0.0002036217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785645,0.000100719786,0.00020437311,0.000093219096,0.00012374332,0.00005837276,0.000121796176,0.00003209914,0.0001537872],"category_scores_gemma":[0.0001650385,0.00007812749,0.000023747705,0.0006107288,0.0003233213,0.00009330599,0.00016095811,0.00009047259,0.000035663856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011195161,0.000120535355,0.0052718897,0.00014818061,0.000021325035,0.0001313628,0.0018121268,0.000007691922,0.9310763,0.0031382274,0.0032357806,0.054924626],"study_design_scores_gemma":[0.0044869953,0.0014907813,0.49322706,0.0003520855,0.0000999447,0.0004785933,0.01941712,0.00027460355,0.3288851,0.0075653526,0.14270057,0.0010217851],"about_ca_topic_score_codex":0.0000078731655,"about_ca_topic_score_gemma":0.00002639026,"teacher_disagreement_score":0.6021912,"about_ca_system_score_codex":0.00003309433,"about_ca_system_score_gemma":0.00021511773,"threshold_uncertainty_score":0.31859463},"labels":[],"label_agreement":null},{"id":"W3208055067","doi":"10.3390/app112110338","title":"An Analytical Model for Transient Heat Transfer with a Time-Dependent Boundary in Solar- and Waste-Heat-Assisted Geothermal Borehole Systems: From Single to Multiple Boreholes","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Borehole; Geothermal gradient; Thermal energy storage; Heat flux; Heat transfer; Geothermal energy; Thermal conduction; Geothermal heating; Geology; Mechanics; Engineering; Geotechnical engineering; Geophysics; Thermodynamics; Physics","score_opus":0.02542795714629209,"score_gpt":0.23931759632591368,"score_spread":0.2138896391796216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208055067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290869,0.00016691691,0.06763309,0.0004290498,0.00003224648,0.0005329959,0.00013969952,0.0000668823,0.001912215],"genre_scores_gemma":[0.99624914,0.0000021202338,0.0027263043,0.00023718817,0.00007265444,0.00044119885,0.000053888052,0.000034271838,0.00018324296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787885,0.00005684105,0.00038713598,0.0008144087,0.0003912267,0.00047153846],"domain_scores_gemma":[0.9992342,0.00010876554,0.000016281992,0.00033799486,0.00006221345,0.00024053009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031066607,0.00024362677,0.00038294884,0.00010983864,0.00033634758,0.00029522507,0.00026432858,0.00010881528,0.000022548102],"category_scores_gemma":[0.00000593308,0.00019611302,0.00005149506,0.0004285665,0.00024133985,0.00016611334,0.000023358136,0.00009501018,0.0000071927607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001001706,0.0002932493,0.0002265554,0.000017809696,0.000025191259,0.000004988631,0.001174961,0.7795437,0.21293025,0.0043889205,0.000016681639,0.0012775451],"study_design_scores_gemma":[0.001326964,0.0001706905,0.0013042911,0.000066192726,0.000036610847,0.000009440165,0.0026218654,0.9768411,0.015634825,0.00011574272,0.001508166,0.0003641401],"about_ca_topic_score_codex":0.005428132,"about_ca_topic_score_gemma":0.011907061,"teacher_disagreement_score":0.1972974,"about_ca_system_score_codex":0.000057124755,"about_ca_system_score_gemma":0.00016867643,"threshold_uncertainty_score":0.8205748},"labels":[],"label_agreement":null},{"id":"W3208165941","doi":"10.3390/app11219921","title":"Spine, Pelvis and Hip Kinematics—Characterizing the Axial Plane in Healthy and Osteoarthritic Hips","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pelvis; Medicine; Pelvic tilt; Sagittal plane; Radiography; Orthodontics; Kinematics; Range of motion; Hip flexion; Osteoarthritis; Nuclear medicine; Anatomy; Surgery; Physics","score_opus":0.024221948002489658,"score_gpt":0.2716477893442345,"score_spread":0.24742584134174483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208165941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095476,0.00058558304,0.000009258697,0.0057817507,0.00012580493,0.00018663435,0.000004037529,0.000013240706,0.002338942],"genre_scores_gemma":[0.9963792,0.00027519598,0.0007806646,0.0023790945,0.00011575869,0.0000089656805,0.0000051167294,0.0000043866135,0.000051595514],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99907833,0.000023925902,0.00020461765,0.0002443747,0.00020988793,0.00023886184],"domain_scores_gemma":[0.99960905,0.00014251533,0.00004798258,0.000098282704,0.000012174738,0.000090000976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004413097,0.00008932965,0.00018418455,0.000050679515,0.00023378673,0.000067675384,0.000042449057,0.000023364346,0.000039896342],"category_scores_gemma":[0.000077429395,0.000055867135,0.000011907629,0.00019400685,0.00039053732,0.000054606655,0.000057551493,0.00013141464,0.000005448639],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006747369,0.0005557449,0.2041492,0.0017680278,0.000060851024,0.0019450128,0.012480544,0.0000072093953,0.21755221,0.06439677,0.0010827713,0.4953269],"study_design_scores_gemma":[0.011143941,0.0021092314,0.9292209,0.0010758674,0.000116124764,0.007092059,0.020009626,0.0011723932,0.007504971,0.0032170515,0.016436247,0.0009016021],"about_ca_topic_score_codex":0.00001316351,"about_ca_topic_score_gemma":0.0000977418,"teacher_disagreement_score":0.72507167,"about_ca_system_score_codex":0.0000058213263,"about_ca_system_score_gemma":0.00011856448,"threshold_uncertainty_score":0.22781956},"labels":[],"label_agreement":null},{"id":"W3208199371","doi":"10.3390/app11093845","title":"Geometrical Degrees of Freedom for Cellular Structures Generation: A New Classification Paradigm","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Design for manufacturability; Computer science; Domain (mathematical analysis); Degrees of freedom (physics and chemistry); Systems engineering; Distributed computing; Engineering; Mechanical engineering; Mathematics","score_opus":0.043459716271403145,"score_gpt":0.24339145849885513,"score_spread":0.19993174222745197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208199371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59427077,0.0037614508,0.3942248,0.00012475572,0.0006802229,0.0002754756,0.000015193918,0.00011648204,0.0065308576],"genre_scores_gemma":[0.97185326,0.000014525371,0.027774958,0.000013260203,0.00027221718,0.000009751845,0.00002518188,0.000006989933,0.000029830573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928033,0.0000062371237,0.00017041265,0.00019498782,0.00020090374,0.00014713044],"domain_scores_gemma":[0.99969625,0.00005396,0.000031039952,0.00014618739,0.000023899525,0.000048639944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007489754,0.00009016717,0.00012874414,0.000092060705,0.000104506515,0.000064047286,0.00018287786,0.00005249412,0.000052825155],"category_scores_gemma":[0.000012176639,0.00007990849,0.000043557055,0.0005434445,0.0000906949,0.000048040976,0.000017208236,0.000047210244,0.0000018594401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002351127,0.0000050308267,0.00009158832,0.000017550994,0.00001413001,4.690405e-7,0.0000984903,0.100090556,0.7627622,0.12983571,0.0012066301,0.0058753244],"study_design_scores_gemma":[0.00033971926,0.000044116296,0.0031249993,0.0000038345,0.000030668416,0.000006303945,0.0001444486,0.2646755,0.7139317,0.010573946,0.006884931,0.00023987688],"about_ca_topic_score_codex":0.000007955302,"about_ca_topic_score_gemma":0.000017679191,"teacher_disagreement_score":0.37758252,"about_ca_system_score_codex":0.000012729021,"about_ca_system_score_gemma":0.000058819245,"threshold_uncertainty_score":0.32585737},"labels":[],"label_agreement":null},{"id":"W3208352354","doi":"10.3390/app112110147","title":"Influence of Impurity Scattering on Surface Plasmons in Graphene in the Lindhard Approximation","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scattering; Impurity; Condensed matter physics; Plasmon; Surface plasmon; Graphene; Transverse plane; Wavelength; Materials science; Physics; Optics; Optoelectronics; Quantum mechanics; Nanotechnology","score_opus":0.02102099642535614,"score_gpt":0.25661366103818856,"score_spread":0.2355926646128324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208352354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931575,0.00005589805,0.00003961549,0.00016449705,0.000025194606,0.00013716525,0.0000039324555,0.000021604159,0.0063945893],"genre_scores_gemma":[0.99859816,0.00007596191,0.0012675675,0.000031963562,0.0000014210297,0.000016061435,0.0000015798192,0.0000041391054,0.0000031729435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988824,0.000040419844,0.00021184227,0.0001954859,0.0003979767,0.0002718841],"domain_scores_gemma":[0.9994584,0.00031548372,0.000022352422,0.00016197668,0.000016076432,0.000025733545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292252,0.00008918332,0.00013742842,0.00011053052,0.000060745708,0.000040647996,0.00034361365,0.000043438762,0.0000062033173],"category_scores_gemma":[0.000040098952,0.00006982578,0.000020662328,0.0012314611,0.00017069644,0.00012560736,0.000039167568,0.00023568854,0.000012039681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046057726,0.000030613945,0.009812295,0.000028412927,0.0000021550175,0.0000051694087,0.00074792624,0.941689,0.045465212,0.0019958022,0.000014788473,0.00020400742],"study_design_scores_gemma":[0.0006310335,0.00005411007,0.34981492,0.00014291366,0.000003249384,0.0000075042954,0.0036384247,0.33357272,0.30913526,0.0025542295,0.000100572164,0.00034505],"about_ca_topic_score_codex":0.000046247165,"about_ca_topic_score_gemma":0.0002052646,"teacher_disagreement_score":0.60811627,"about_ca_system_score_codex":0.000026614867,"about_ca_system_score_gemma":0.000052224255,"threshold_uncertainty_score":0.28474125},"labels":[],"label_agreement":null},{"id":"W3208662422","doi":"10.3390/app11219970","title":"Association of Posture, Gait, and Auditory Functioning with Cognitive Status in a Cohort of Community-Dwelling Older Adults","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Jeonbuk National University; National Research Foundation","keywords":"Cognition; Logistic regression; Gait; Physical medicine and rehabilitation; Audiology; Association (psychology); Cognitive impairment; Psychology; Medicine; Psychiatry","score_opus":0.016157684918974017,"score_gpt":0.2564915362799213,"score_spread":0.24033385136094726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208662422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703205,0.000027256923,0.00014079711,0.000050465096,0.00006262513,0.00015477104,0.000004486993,0.000007913088,0.0025196413],"genre_scores_gemma":[0.9996293,0.000020402784,0.00023039237,0.00006732692,0.000010596644,0.0000105653235,0.0000015434335,0.0000029129408,0.000026954893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905974,0.00015958687,0.00016601045,0.00016238283,0.0003106006,0.00014170606],"domain_scores_gemma":[0.9984001,0.0012750855,0.00014451252,0.000060754115,0.0000933732,0.000026159607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007692275,0.000053552227,0.00012425186,0.00007683046,0.0002014131,0.00002186374,0.00005178414,0.000037298476,0.0000058739065],"category_scores_gemma":[0.00052482553,0.000043623786,0.000010928503,0.00052158994,0.0002962223,0.000096935364,0.000031694715,0.0001511256,6.2197967e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007779934,0.00022014447,0.680503,0.00012372808,0.000008646549,0.0000012210919,0.014994482,0.00044544807,0.2982882,0.00084946794,0.000013379013,0.004474465],"study_design_scores_gemma":[0.0004368812,0.000103981896,0.93606156,0.00014492436,0.000008117024,9.73026e-7,0.009631833,0.00021729428,0.053140894,0.00019108575,0.000006208923,0.000056256427],"about_ca_topic_score_codex":0.0003106382,"about_ca_topic_score_gemma":0.00015578009,"teacher_disagreement_score":0.25555852,"about_ca_system_score_codex":0.00002651246,"about_ca_system_score_gemma":0.00010672171,"threshold_uncertainty_score":0.17789264},"labels":[],"label_agreement":null},{"id":"W3208772529","doi":"10.3390/app11062692","title":"YeastNet: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; National Research Council Canada; University of Ottawa","funders":"National Research Council Canada","keywords":"Segmentation; Computer science; Deep learning; Artificial intelligence; Python (programming language); Budding yeast; Image segmentation; Computer vision; Biology; Yeast; Saccharomyces cerevisiae","score_opus":0.007183969169144727,"score_gpt":0.27691053817194444,"score_spread":0.26972656900279973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208772529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808303,0.00018860439,0.006445499,0.000025996895,0.00001901091,0.00008809978,7.673549e-7,0.000010396889,0.012391327],"genre_scores_gemma":[0.99316275,0.00012914138,0.0060996,0.00011941902,0.000024689773,0.000011322842,0.000019421735,0.0000056164495,0.00042804674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917996,0.00003664428,0.00018366815,0.00031029247,0.00012833226,0.00016109245],"domain_scores_gemma":[0.9996693,0.000017147757,0.000100811296,0.00014138645,0.00004551173,0.000025804587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027932719,0.0000802781,0.00011623113,0.000055604916,0.00007625501,0.00005286697,0.00017281415,0.00006112657,0.00007787486],"category_scores_gemma":[0.000033257515,0.00007745217,0.00004063801,0.00035481172,0.00009126313,0.0000070706883,0.00009213166,0.0000639807,0.000006013898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000090206995,0.0000258456,0.0010309047,0.000007577059,0.00000740739,0.0000020745717,0.00006502518,0.00025921466,0.99626744,0.00003409021,0.00032264332,0.0019687484],"study_design_scores_gemma":[0.0001345473,0.000043448275,0.00027976415,0.000008183424,0.000008003775,0.0000015407721,0.00053481373,0.00022082476,0.99772924,0.00007332569,0.000877112,0.00008918251],"about_ca_topic_score_codex":0.00004963014,"about_ca_topic_score_gemma":0.00010729288,"teacher_disagreement_score":0.012332444,"about_ca_system_score_codex":0.0000076269926,"about_ca_system_score_gemma":0.000056464214,"threshold_uncertainty_score":0.31584078},"labels":[],"label_agreement":null},{"id":"W3209226194","doi":"10.3390/app11219955","title":"Characterization of the Microstructure and Surface Roughness Effects on Fatigue Life Using the Tanaka–Mura–Wu Model","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Characterization (materials science); Surface roughness; Microstructure; Limiting; Surface finish; Modulus; Structural engineering; Composite material; Mechanical engineering; Engineering; Nanotechnology","score_opus":0.021634351992116146,"score_gpt":0.22837118586297303,"score_spread":0.2067368338708569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209226194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915446,0.000042240965,0.007630349,0.00018597014,0.00010979887,0.00009577299,0.000006414839,0.00008403177,0.00030082738],"genre_scores_gemma":[0.9983919,0.000013479205,0.001496188,0.000064686006,0.000015436586,0.0000024550855,0.0000011580521,0.0000060886587,0.000008558102],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995162,0.000014478688,0.00008120807,0.00014496128,0.00012441732,0.00011875469],"domain_scores_gemma":[0.9996792,0.0000850056,0.00004134738,0.00016838795,0.000014030769,0.000012039188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010169961,0.000086858985,0.00009104179,0.00001626047,0.00023582086,0.000049562543,0.00021897396,0.00004704607,0.0000015427731],"category_scores_gemma":[0.000038515762,0.000049334656,0.000017085136,0.0002231666,0.00023139824,0.000039654587,0.00009869576,0.00011374082,2.9550176e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.591586e-7,0.0000019699578,0.00019056052,0.00003454162,0.0000067087594,2.0681942e-7,0.00026471663,0.11982828,0.87535053,0.0025107225,0.000010480456,0.0018003043],"study_design_scores_gemma":[0.000043655,0.000003410289,0.0057199285,0.00003240865,0.0000060746943,0.0000011421951,0.00017415339,0.080618694,0.91213286,0.0011728369,0.000025370096,0.00006949453],"about_ca_topic_score_codex":0.0000026712403,"about_ca_topic_score_gemma":0.0000017956585,"teacher_disagreement_score":0.039209586,"about_ca_system_score_codex":0.0000091225675,"about_ca_system_score_gemma":0.000021795979,"threshold_uncertainty_score":0.20118089},"labels":[],"label_agreement":null},{"id":"W3209246400","doi":"10.3390/app112110350","title":"A Latent Heat Storage System for Low-Temperature Applications: From Materials Selection to Prototype Performances","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agence Nationale de la Recherche","keywords":"Thermal energy storage; Process engineering; Latent heat; Waste heat; Phase-change material; Materials science; Waste heat recovery unit; Work (physics); Energy storage; Thermal conductivity; Dimensioning; Environmental science; Range (aeronautics); Phase change; Mechanical engineering; Thermodynamics; Engineering; Composite material; Engineering physics; Heat exchanger","score_opus":0.026255065101951483,"score_gpt":0.27459327670612915,"score_spread":0.24833821160417768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209246400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946924,0.00016310807,0.0019999878,0.000082290724,0.0003310834,0.0019436367,0.0001310051,0.00024258609,0.00041390103],"genre_scores_gemma":[0.9917714,0.00001752496,0.0023772316,0.00003415424,0.00038907293,0.0053039426,0.000055336044,0.000017684997,0.000033628294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895686,0.00001826224,0.00016525021,0.0003167462,0.00024776816,0.0002950957],"domain_scores_gemma":[0.9996552,0.000031979438,0.00001551916,0.00014446126,0.00007407618,0.00007875875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033854714,0.00012396526,0.0001806198,0.000084189334,0.00025427106,0.0003131974,0.00021723127,0.000066276574,0.00008744288],"category_scores_gemma":[0.0000077234345,0.00010749485,0.000019217843,0.0005187226,0.000037663136,0.00011659169,0.000042126096,0.00004976936,0.000096858275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002260567,0.0000104184755,0.000005458794,0.0002569755,0.000009526186,6.02914e-7,0.00013627854,0.002849691,0.9957653,0.0003294002,0.00024913557,0.0003645708],"study_design_scores_gemma":[0.00014764146,0.00003843889,0.000094891075,0.000055006232,0.000004881063,0.000002749469,0.00026381537,0.00148817,0.99558884,0.000067203415,0.0021115907,0.00013678994],"about_ca_topic_score_codex":0.000018352042,"about_ca_topic_score_gemma":0.000022846052,"teacher_disagreement_score":0.003360306,"about_ca_system_score_codex":0.00010408372,"about_ca_system_score_gemma":0.00006218555,"threshold_uncertainty_score":0.43835127},"labels":[],"label_agreement":null},{"id":"W3209351340","doi":"10.3390/app11219869","title":"Experimental Study of a Piezoelectric De-Icing System Implemented to Rotorcraft Blades","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Icing; Wind tunnel; Rotor (electric); Finite element method; Structural engineering; Engineering; Helicopter rotor; Vibration; Mechanical engineering; Aerospace engineering; Acoustics; Physics; Meteorology","score_opus":0.01799750407457445,"score_gpt":0.26621554854794294,"score_spread":0.24821804447336848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209351340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871113,0.00006381663,0.0085105,0.000013503079,0.00008452192,0.00026939312,8.9943273e-7,0.0005695956,0.003376499],"genre_scores_gemma":[0.9975441,9.61555e-7,0.0023164481,0.000015465952,0.000018337232,0.00008489755,3.6701903e-7,0.000009826997,0.000009595929],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900633,0.000014388541,0.0002105306,0.00021928895,0.00024290489,0.0003065477],"domain_scores_gemma":[0.9996763,0.000051576673,0.000026869586,0.00018512263,0.00002110416,0.000039042614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028788132,0.00010969724,0.00018610057,0.00018453474,0.0001511997,0.00004517068,0.0002598017,0.000033293887,0.0000059640834],"category_scores_gemma":[0.000018542885,0.00010007224,0.000020708821,0.001043529,0.00004268609,0.000035773166,0.00008566598,0.00007204034,0.000007786803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012498137,0.00031357934,0.007303697,0.00012611636,0.000077435914,0.000028148328,0.01151165,0.034743275,0.9231817,0.0067292135,0.0007071494,0.015265522],"study_design_scores_gemma":[0.00021377631,0.0002644485,0.00054812495,0.00003101337,0.000008803671,0.000008675925,0.06484348,0.005729446,0.92816794,0.000026898271,0.000029795374,0.00012760266],"about_ca_topic_score_codex":0.000071657414,"about_ca_topic_score_gemma":0.00002390697,"teacher_disagreement_score":0.05333183,"about_ca_system_score_codex":0.00008725936,"about_ca_system_score_gemma":0.000035780555,"threshold_uncertainty_score":0.40808275},"labels":[],"label_agreement":null},{"id":"W3209440801","doi":"10.3390/app10207298","title":"A Qualitative Tool Condition Monitoring Framework Using Convolution Neural Network and Transfer Learning","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Economic Development and Trade, Government of Alberta; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Quality (philosophy); Artificial neural network; Machine tool; Artificial intelligence; Machine learning; Machining; Engineering; Mechanical engineering","score_opus":0.042702148787332694,"score_gpt":0.3222526933079284,"score_spread":0.2795505445205957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209440801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46264675,0.00024870638,0.5365852,0.000034561268,0.00008330133,0.00006228863,6.099556e-7,0.00013366809,0.00020492217],"genre_scores_gemma":[0.96240604,0.000045636287,0.037312534,0.000047947524,0.00016761533,0.0000074399413,0.0000022064778,0.000009677248,9.228213e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994123,0.00001699226,0.000116614436,0.00016644502,0.00011637228,0.00017128406],"domain_scores_gemma":[0.99979246,0.00011116459,0.000017819671,0.000023228875,0.00001365356,0.000041678395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444973,0.00008735941,0.00009563466,0.000019246632,0.0002964511,0.00006475916,0.000053200034,0.00004219835,0.0000063552766],"category_scores_gemma":[0.000029587609,0.00008681691,0.00001136973,0.00031831837,0.000095472475,0.00023016932,0.000011201342,0.0001638304,0.0000014721063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053405142,9.048868e-7,0.0002578646,0.00002516237,0.0000036425572,2.2075795e-7,0.006459342,0.98365045,0.0025209908,0.005414408,0.0000018672046,0.0016597839],"study_design_scores_gemma":[0.000118524054,0.000040971365,0.00018217096,0.000034201934,0.000010841213,0.0000010326075,0.004455831,0.9906301,0.0011625562,0.0031474233,0.000055894052,0.00016046906],"about_ca_topic_score_codex":0.0000015471124,"about_ca_topic_score_gemma":2.0445285e-7,"teacher_disagreement_score":0.4997593,"about_ca_system_score_codex":0.000012621499,"about_ca_system_score_gemma":0.000007938908,"threshold_uncertainty_score":0.3540291},"labels":[],"label_agreement":null},{"id":"W3209917970","doi":"10.3390/app11136140","title":"Baseline Air Monitoring of Fine Particulate Matter and Trace Elements in Ontario’s Far North, Canada","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks","funders":"Environment and Climate Change Canada","keywords":"Particulates; Environmental science; Baseline (sea); Air quality index; Air pollution; Trace gas; Pollutant; Air pollutants; Meteorology; Geography; Geology; Oceanography","score_opus":0.032239077020992074,"score_gpt":0.2665030544534717,"score_spread":0.23426397743247965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209917970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674565,0.000030362078,0.000029026125,0.0017972874,0.000062953106,0.000076303135,0.0000019300721,0.0000028800227,0.0012536017],"genre_scores_gemma":[0.99454373,0.000005688591,0.004483527,0.0008035021,0.000008365065,0.0000059107356,0.000001242748,0.0000021108901,0.0001459142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892265,0.000026321626,0.00024467625,0.00022959206,0.0003170066,0.00025978129],"domain_scores_gemma":[0.99968237,0.000052715583,0.000063400184,0.00009422254,0.000003914621,0.00010335091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045491205,0.00006929343,0.00011543765,0.000013606495,0.0001316051,0.000009756909,0.00010235988,0.000018666009,0.00070756825],"category_scores_gemma":[0.00001442919,0.00006128929,0.000007407855,0.00024512914,0.00015429716,0.0000938751,0.00008086332,0.00008109793,0.00001339446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003649081,0.000022697985,0.993092,0.000010296688,0.000001112014,0.000004830693,0.0007177601,0.0023641991,0.0007897047,0.000026802865,0.00033488125,0.0026320887],"study_design_scores_gemma":[0.00014448281,0.000013302876,0.9909888,0.000009186802,0.0000024179833,0.0000010007847,0.00034407453,0.0003063888,0.0050466945,0.00015508791,0.0029138036,0.00007477155],"about_ca_topic_score_codex":0.8171095,"about_ca_topic_score_gemma":0.9953894,"teacher_disagreement_score":0.17827988,"about_ca_system_score_codex":0.00015394624,"about_ca_system_score_gemma":0.00022600885,"threshold_uncertainty_score":0.77473766},"labels":[],"label_agreement":null},{"id":"W3209980371","doi":"10.3390/app11219821","title":"Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"King Saud University","keywords":"Process (computing); Computer science; Industrial engineering; Production (economics); Manufacturing engineering; Scale (ratio); Process engineering; Engineering","score_opus":0.031825925951014127,"score_gpt":0.3016976285588227,"score_spread":0.2698717026078086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209980371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8633743,0.000028214832,0.13384734,0.000022368149,0.00013829273,0.00034410242,0.000010574681,0.00013880063,0.0020960094],"genre_scores_gemma":[0.98148733,0.0000031873424,0.018266628,0.0000058710793,0.000037065303,0.0001466991,0.00004013902,0.000009729909,0.0000033682547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923396,0.000007203183,0.00028639537,0.00017049193,0.00018339622,0.00011857906],"domain_scores_gemma":[0.99972916,0.000013354032,0.000052168612,0.000069331065,0.000101978265,0.000034031604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023635801,0.000077688936,0.00009417854,0.00007279621,0.00014054374,0.00009633517,0.000065496715,0.0000687843,0.000009842743],"category_scores_gemma":[0.0000057946772,0.00008183784,0.000010276035,0.00034408458,0.000046373265,0.0007831354,0.0000058051933,0.00005452458,3.706775e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.300102e-7,0.000008156715,0.00012114187,0.00030497144,0.00000564374,2.189045e-8,0.0017786964,0.9902099,0.004623223,0.0007472088,0.00000836551,0.0021917576],"study_design_scores_gemma":[0.00014786907,0.0000161344,0.000018962315,0.000047366084,0.000009778801,0.0000035949172,0.055309013,0.75323385,0.19100265,0.00012558105,0.0000016240227,0.000083572166],"about_ca_topic_score_codex":0.0000038599305,"about_ca_topic_score_gemma":0.0000044701096,"teacher_disagreement_score":0.23697604,"about_ca_system_score_codex":0.000031652453,"about_ca_system_score_gemma":0.00006280129,"threshold_uncertainty_score":0.33372504},"labels":[],"label_agreement":null},{"id":"W3210028724","doi":"10.3390/app11156683","title":"A Narrative Review of Virtual Reality Applications for the Treatment of Post-Traumatic Stress Disorder","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Perception; Exposure therapy; Psychology; Perspective (graphical); Sensory system; Psychotherapist; Human–computer interaction; Cognitive psychology; Computer science; Neuroscience; Psychiatry; Anxiety; Artificial intelligence","score_opus":0.10097443171749138,"score_gpt":0.4017795874607513,"score_spread":0.30080515574325994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210028724","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000018206613,0.87540716,0.11912545,0.00042225345,0.000038116188,0.00408305,0.00024087407,0.00001935697,0.0006618997],"genre_scores_gemma":[0.00009782847,0.9925254,0.0026418318,0.00008303853,0.000034863242,0.004469822,0.00009224446,0.0000089444475,0.000046009736],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975373,0.00012497185,0.0009613802,0.0006274547,0.00048112156,0.0002677432],"domain_scores_gemma":[0.99568576,0.001695329,0.0009973114,0.0012718128,0.00026942455,0.00008038621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008454151,0.00031280902,0.0014275742,0.000101202364,0.00039866014,0.0000817547,0.0018962042,0.0000934547,0.000013102065],"category_scores_gemma":[0.00008477553,0.0001735212,0.00048370892,0.0018057013,0.0005946636,0.000120060715,0.000132756,0.00007953347,0.000004297101],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.9708556e-7,0.0003079579,6.343525e-8,0.00827615,0.00006984917,3.5968966e-8,0.0016652048,0.000008669729,8.4075697e-7,0.15468518,0.00013526628,0.8348504],"study_design_scores_gemma":[0.00010687042,0.0004936815,0.0000022813533,0.009788077,0.0003853321,0.0000036255874,0.0023331721,0.00016468937,0.000022701654,0.0004769759,0.985977,0.00024557053],"about_ca_topic_score_codex":0.00015658927,"about_ca_topic_score_gemma":0.00010128026,"teacher_disagreement_score":0.98584175,"about_ca_system_score_codex":0.00006785422,"about_ca_system_score_gemma":0.00096789974,"threshold_uncertainty_score":0.7075989},"labels":[],"label_agreement":null},{"id":"W3210033820","doi":"10.3390/app9061214","title":"Undrained Behavior of Microbially Induced Calcite Precipitated Sand with Polyvinyl Alcohol Fiber","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Calcite; Polyvinyl alcohol; Materials science; Cohesion (chemistry); Hydraulic conductivity; Composite material; Fiber; Cement; Geotechnical engineering; Mineralogy; Geology; Chemistry; Soil science","score_opus":0.014612540795951439,"score_gpt":0.24494696551812647,"score_spread":0.23033442472217502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210033820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628541,0.0000023504383,0.00004339495,0.000067975416,0.00009244025,0.00078147254,0.000016554419,0.00004136929,0.03610035],"genre_scores_gemma":[0.9880689,7.953509e-7,0.01092757,0.00009348088,0.000015161142,0.00006430315,0.0000052836135,0.000011272073,0.0008132632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860793,0.000026659358,0.00029863394,0.000482185,0.00031610054,0.0002684874],"domain_scores_gemma":[0.9993348,0.00004890744,0.00021156756,0.0003257083,0.000015698899,0.00006330841],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035369096,0.00015197769,0.00020208367,0.00006606772,0.00015427174,0.000059808586,0.00048903364,0.000070161404,0.00823544],"category_scores_gemma":[0.0000061787964,0.00011921614,0.000034748973,0.00066252745,0.000809767,0.00016362095,0.0001616128,0.000067954425,0.0012543323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021274996,0.0000408704,0.0057311575,0.0000042852944,0.0000060962166,2.402153e-7,0.00013103402,0.00012808612,0.99132484,0.0005217782,0.0002183774,0.0018719793],"study_design_scores_gemma":[0.0006941707,0.00013641908,0.027841443,0.000015812711,0.000033747427,0.000022812035,0.00012698815,0.000013239491,0.96800834,0.00027418265,0.0025107234,0.00032210755],"about_ca_topic_score_codex":0.0002003635,"about_ca_topic_score_gemma":0.000037786052,"teacher_disagreement_score":0.035287086,"about_ca_system_score_codex":0.00005306493,"about_ca_system_score_gemma":0.000049078895,"threshold_uncertainty_score":0.9995233},"labels":[],"label_agreement":null},{"id":"W3210196599","doi":"10.3390/app11219960","title":"HCL Control Strategy for an Adaptive Roadway Lighting Distribution","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced optical system design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Luminance; Illuminance; Road surface; Brightness; Computer science; Computer vision; Reflection (computer programming); Environmental science; Artificial intelligence; Engineering; Optics","score_opus":0.0368985279630521,"score_gpt":0.26309381424271266,"score_spread":0.22619528627966057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210196599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02035642,0.00015624346,0.9629297,0.00002952659,0.00014049606,0.0003134373,0.000038496688,0.0002012574,0.0158344],"genre_scores_gemma":[0.99251246,0.0000016796448,0.0072275414,0.000020926716,0.00010088094,0.00008803681,0.000014451754,0.000008978784,0.000025044033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912196,0.000014486527,0.00016297997,0.0002464438,0.00016057203,0.0002935772],"domain_scores_gemma":[0.99958104,0.00016362217,0.000026188964,0.00010387681,0.000046157034,0.00007909847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028426008,0.00009970833,0.00014250424,0.000014402277,0.00018991157,0.00008281153,0.0001373295,0.000047821493,0.000011169779],"category_scores_gemma":[0.000031281495,0.00008828216,0.000027960536,0.000249218,0.000082109116,0.00018521481,0.000009003391,0.00005795694,0.000016804726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021245236,0.000030412815,0.000034653123,0.000030522882,0.000022947332,0.000004441851,0.00010703804,0.45070827,0.12286355,0.40649402,0.00025968917,0.019423204],"study_design_scores_gemma":[0.0012113444,0.00041563925,0.0005581684,0.00004009312,0.000037424237,0.000015861571,0.002744388,0.8236567,0.13995497,0.027334897,0.003339186,0.00069136015],"about_ca_topic_score_codex":0.0000018549417,"about_ca_topic_score_gemma":0.000012549941,"teacher_disagreement_score":0.97215605,"about_ca_system_score_codex":0.000046460515,"about_ca_system_score_gemma":0.00003588562,"threshold_uncertainty_score":0.36000422},"labels":[],"label_agreement":null},{"id":"W3210358020","doi":"10.3390/app10186553","title":"Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework","year":2020,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Carleton University; University of Ottawa; Université du Québec en Outaouais","funders":"","keywords":"Health care; Analytics; Data science; Applications of artificial intelligence; Field (mathematics); Computer science; Big data; Knowledge management; Artificial intelligence; Political science","score_opus":0.34516631197836184,"score_gpt":0.5427890556584459,"score_spread":0.1976227436800841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210358020","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012894575,0.9849441,0.0038875067,0.0030230347,0.00012661188,0.00715881,0.00009384133,0.00007418831,0.00069058733],"genre_scores_gemma":[0.00032615932,0.9920233,0.0050743967,0.0013614128,0.00027535282,0.000869242,0.000016668691,0.000034999408,0.000018478288],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99506724,0.0005187222,0.0022381532,0.0010634558,0.00048983766,0.0006225911],"domain_scores_gemma":[0.99510217,0.002383933,0.0013753518,0.000519161,0.00023392228,0.0003854551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019132124,0.0004301429,0.002305764,0.00024711443,0.0012475039,0.000028114,0.00071870675,0.00055300264,0.00012266985],"category_scores_gemma":[0.00061525294,0.00033062356,0.00012575432,0.0022755098,0.001390831,0.00007216808,0.00041011884,0.0015160448,0.00017645619],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018991856,0.000012345301,0.000022705757,0.09624138,0.000015323561,6.5752374e-7,0.00056516286,1.4874387e-7,1.3769562e-7,0.14399326,0.000061175524,0.7590858],"study_design_scores_gemma":[0.000009267036,0.00015337557,0.0000014703113,0.052274726,0.0006866932,0.000006039095,0.0041896286,0.00010060598,0.0000035205244,0.07199434,0.8700649,0.0005154],"about_ca_topic_score_codex":0.00023992045,"about_ca_topic_score_gemma":0.00021587666,"teacher_disagreement_score":0.87000376,"about_ca_system_score_codex":0.000101377824,"about_ca_system_score_gemma":0.0019185651,"threshold_uncertainty_score":0.9999146},"labels":[],"label_agreement":null},{"id":"W3210531936","doi":"10.3390/app112110140","title":"The Relationship between Dentofacial Vertical Pattern and Bite Force Distribution among Children in Late Mixed Dentition","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bite force quotient; Dentition; Orthodontics; Dentistry; Occlusion; Medicine; Post hoc; Dental occlusion; Mathematics; Surgery","score_opus":0.0453032742424857,"score_gpt":0.3527263869137204,"score_spread":0.3074231126712347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210531936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507827,0.00006349391,0.0018906327,0.0018073211,0.00012372347,0.00036954196,0.000019349374,0.000031919055,0.0006157485],"genre_scores_gemma":[0.99955326,0.000010514579,0.000027753737,0.000081781785,0.000049099803,0.00005769366,0.00013164419,0.00000496197,0.00008328854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985946,0.00024330089,0.00029811234,0.00026486357,0.00026304717,0.00033609633],"domain_scores_gemma":[0.9988967,0.00082896487,0.00006563034,0.00012176926,0.000023603157,0.00006330995],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010252096,0.0000796006,0.00010822624,0.000039461498,0.0016404472,0.000057273923,0.00012512154,0.00010030136,0.000015121935],"category_scores_gemma":[0.0003339855,0.00006098188,0.000020977675,0.00041839297,0.00033452202,0.00014478868,0.000116223484,0.00029765017,0.000044427245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029050118,0.0000080046175,0.9909623,0.0000064343303,0.0000031863433,6.47137e-7,0.00038983327,0.0000047574927,0.000053576718,0.007902305,0.00017594895,0.0004900941],"study_design_scores_gemma":[0.00037453184,0.000009474074,0.98335385,0.000031933665,0.000009725495,2.9317533e-7,0.00061368546,0.00009379133,0.00007232926,0.015294124,0.000071042785,0.00007520526],"about_ca_topic_score_codex":0.00014521819,"about_ca_topic_score_gemma":0.0031867356,"teacher_disagreement_score":0.0076084435,"about_ca_system_score_codex":0.000053435604,"about_ca_system_score_gemma":0.00010007452,"threshold_uncertainty_score":0.9996593},"labels":[],"label_agreement":null},{"id":"W3210610608","doi":"10.3390/app11136141","title":"A Survey on Change Detection and Time Series Analysis with Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Computer science; Series (stratigraphy); Spectral analysis; Remote sensing; Time series; Spectral leakage; Data mining; Algorithm; Geography; Geology; Fast Fourier transform; Physics; Machine learning; Astronomy","score_opus":0.028643372536430397,"score_gpt":0.23049489305802598,"score_spread":0.20185152052159558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210610608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17168379,0.0004098111,0.80508125,0.0011488276,0.000052933545,0.00046672145,0.000019344758,0.00027801632,0.020859307],"genre_scores_gemma":[0.9892965,0.000011637398,0.010290463,0.00012208405,0.00003308571,0.000058693615,0.0000054232296,0.0000024744122,0.00017961604],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989969,0.000033587756,0.00010459363,0.00046042982,0.00023775644,0.00016672148],"domain_scores_gemma":[0.99947387,0.000082579514,0.00007180399,0.00025533288,0.000061763334,0.000054663014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043762077,0.00008648192,0.00015348455,0.00014836034,0.0004866184,0.00032309644,0.0002493446,0.000022371472,0.000015895737],"category_scores_gemma":[0.000008386948,0.00006453812,0.000029728777,0.004204902,0.00016131302,0.00028218457,0.00010469224,0.000046228175,0.000020093803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000531591,0.0002480068,0.042322382,0.0000260346,0.00081630447,0.000017375227,0.0028906236,0.002957883,0.012809372,0.21404994,0.00006927563,0.7237396],"study_design_scores_gemma":[0.0004150961,0.00064312003,0.7651174,0.000019126293,0.0003862175,0.000034770634,0.00079913944,0.20046419,0.021475945,0.0039409897,0.0056223716,0.0010816123],"about_ca_topic_score_codex":0.00008954868,"about_ca_topic_score_gemma":0.0009380758,"teacher_disagreement_score":0.8176127,"about_ca_system_score_codex":0.000008904834,"about_ca_system_score_gemma":0.000027955488,"threshold_uncertainty_score":0.37427244},"labels":[],"label_agreement":null},{"id":"W3210776530","doi":"10.3390/app112110155","title":"Examining Post-Fire Perceptions of Selected Mitigation Strategies after the 2016 Horse River Wildland Fire in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; University of Calgary","funders":"","keywords":"Wildland–urban interface; Recreation; Geography; Vegetation (pathology); Buffer zone; Environmental resource management; Environmental science; Environmental planning; Forestry; Ecology; Archaeology","score_opus":0.004539579253430343,"score_gpt":0.18794931552432606,"score_spread":0.1834097362708957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210776530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953672,0.000036437923,0.000006828561,0.00046203035,0.00008193828,0.00019022812,0.0000082032575,0.000007741285,0.0038393652],"genre_scores_gemma":[0.99933344,0.000006098331,0.00017212352,0.00014926256,0.000016463873,0.000049229806,0.0000067125347,0.0000051129073,0.00026158342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878377,0.000084063606,0.00017535222,0.0003109942,0.0003984349,0.00024741734],"domain_scores_gemma":[0.9994379,0.000246467,0.00007595712,0.00017733332,0.000016996419,0.000045312547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027825386,0.000106949075,0.0001230255,0.000017226956,0.00019880709,0.00005607773,0.00025236074,0.000040869018,0.00053926266],"category_scores_gemma":[0.000047014397,0.00007507536,0.000015173134,0.0007615348,0.00048469755,0.00024635726,0.000082389655,0.00009139951,0.000041103183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036148595,0.00011432211,0.82636994,0.00004874642,0.000021453885,0.00003249205,0.01252427,0.014621441,0.12505506,0.00020702275,0.0048202495,0.016148848],"study_design_scores_gemma":[0.00013367382,0.00003631313,0.98532784,0.000035553785,0.0000070177152,0.00000906115,0.005800742,0.007292664,0.00089307677,0.00006762672,0.0002506825,0.00014576872],"about_ca_topic_score_codex":0.5848016,"about_ca_topic_score_gemma":0.91273975,"teacher_disagreement_score":0.32793814,"about_ca_system_score_codex":0.00011667942,"about_ca_system_score_gemma":0.00034942268,"threshold_uncertainty_score":0.5904548},"labels":[],"label_agreement":null},{"id":"W3210780703","doi":"10.3390/app112110288","title":"Experimental Investigation of the Cooling Effect Generated by a Heat Sink Integrated Thermoelectric-Based U-Shaped Air-Conditioning System","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermoelectric cooling; TEC; Airflow; Refrigeration; Environmental science; Heat sink; Thermoelectric effect; Materials science; Air conditioning; Volumetric flow rate; Nuclear engineering; Water cooling; Mechanics; Meteorology; Mechanical engineering; Thermodynamics; Engineering; Physics","score_opus":0.009787674325387718,"score_gpt":0.23392984331059083,"score_spread":0.22414216898520312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210780703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548143,0.00059486757,0.0025397472,0.00005447375,0.0003041271,0.00033119041,0.000022976461,0.00011872062,0.00055243896],"genre_scores_gemma":[0.9987157,0.0000010543627,0.00083649746,0.00026267715,0.000044481076,0.00008388095,0.00002693202,0.000013787803,0.000015002467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99803454,0.00030365036,0.00038653702,0.00047017206,0.0004675461,0.00033753295],"domain_scores_gemma":[0.9991573,0.00021910574,0.00023243313,0.00022928353,0.000098261124,0.000063629894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007423333,0.00020529932,0.00031963264,0.00005818216,0.0006262332,0.00014537427,0.00039101456,0.00007558905,0.00015735581],"category_scores_gemma":[0.00004914266,0.00013171035,0.00005642026,0.0011810476,0.00038419032,0.00015275094,0.000057866826,0.0000836459,0.000016105034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036056143,0.000017600018,0.00007242296,0.00003570728,0.000004611969,0.0000012797963,0.00014766192,0.0012094959,0.996998,0.001380589,0.000039926686,0.000056663383],"study_design_scores_gemma":[0.00038833995,0.00010050549,0.000080562604,0.000076364384,0.000015328162,0.000007284028,0.00050194643,0.009252343,0.98932827,0.00006829947,0.000019616313,0.00016113684],"about_ca_topic_score_codex":0.00010862161,"about_ca_topic_score_gemma":0.0000048273846,"teacher_disagreement_score":0.008042848,"about_ca_system_score_codex":0.00009429395,"about_ca_system_score_gemma":0.00029253177,"threshold_uncertainty_score":0.5370992},"labels":[],"label_agreement":null},{"id":"W3210888699","doi":"10.3390/app112110203","title":"Impact of Ferment Processing Parameters on the Quality of White Pan Bread","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Food composition and properties","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian International Grains Institute","funders":"","keywords":"Fermentation; Food science; Titratable acid; Chemistry; Yeast; Mathematics; Biochemistry","score_opus":0.09289734195369878,"score_gpt":0.3548471048110134,"score_spread":0.26194976285731464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210888699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881039,0.00006613213,0.000009265508,0.0013647258,0.000055865585,0.00008481559,0.0000032452658,0.000011777641,0.010300224],"genre_scores_gemma":[0.9993074,0.0000011686261,0.00039253975,0.00026683693,0.0000074388377,0.0000057782477,9.067617e-7,0.0000025376357,0.000015381336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991345,0.000083159575,0.00019527262,0.00015103545,0.00031172312,0.00012430853],"domain_scores_gemma":[0.99955225,0.00010911164,0.00013000773,0.00014014904,0.000047626432,0.000020878786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050085684,0.00006480646,0.00012733381,0.000030859606,0.00024782398,0.000040387004,0.00016979635,0.000018487264,0.000035849735],"category_scores_gemma":[0.000027213435,0.000035412897,0.000060041384,0.00032836388,0.00037204564,0.000045265286,0.00003480272,0.00005363013,0.0000029835453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010207822,0.00044815702,0.0132278325,0.0001336849,0.000046480483,5.834783e-7,0.016176349,0.0015914643,0.82861865,0.0046539456,0.0003095538,0.1337725],"study_design_scores_gemma":[0.00029915097,0.001256261,0.10158869,0.00013805274,0.000015810507,0.00000292852,0.0052246,0.000444816,0.8873208,0.0034777657,0.00005405762,0.00017706699],"about_ca_topic_score_codex":0.00006965391,"about_ca_topic_score_gemma":0.000010195923,"teacher_disagreement_score":0.13359544,"about_ca_system_score_codex":0.000019432237,"about_ca_system_score_gemma":0.000063392625,"threshold_uncertainty_score":0.19060868},"labels":[],"label_agreement":null},{"id":"W3210938546","doi":"10.3390/app11136188","title":"Automated Extraction and Time-Cost Prediction of Contractual Reporting Requirements in Construction Using Natural Language Processing and Simulation","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software Engineering Research","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workflow; Computer science; Overhead (engineering); Identification (biology); Database; Programming language","score_opus":0.037233583633287555,"score_gpt":0.3453840418439745,"score_spread":0.30815045821068693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210938546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95780444,0.00024882855,0.041535564,0.000012345803,0.000078854064,0.00012024828,6.262161e-7,0.00013001688,0.00006908532],"genre_scores_gemma":[0.9666665,0.0000026287278,0.033302378,0.000004260126,0.000013921135,0.0000031772697,0.0000017698122,0.0000024141223,0.0000029166868],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989711,0.000022161279,0.00031827606,0.0002701098,0.000280668,0.00013766847],"domain_scores_gemma":[0.99937654,0.00020857572,0.0002485227,0.0000764203,0.00006406783,0.0000258708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080845586,0.000057567755,0.00009821274,0.000114744485,0.000114601644,0.0001359655,0.00006795493,0.00003498261,0.0000010386661],"category_scores_gemma":[0.00063414086,0.000056691966,0.000006519849,0.00048688453,0.00011526874,0.0006440028,0.00006103848,0.000083955,1.7645085e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009401176,0.00003034991,0.03588116,0.00008052544,0.0000066830153,0.000019574214,0.0022759654,0.05257503,0.74920285,0.00029915123,0.0000022932327,0.159617],"study_design_scores_gemma":[0.00015288212,0.000008953837,0.047626752,0.000042098716,0.00000201296,0.000049958304,0.00023611357,0.9332598,0.018534027,0.000039245122,0.0000018407501,0.000046327008],"about_ca_topic_score_codex":0.000025156536,"about_ca_topic_score_gemma":0.000002245346,"teacher_disagreement_score":0.88068473,"about_ca_system_score_codex":0.00003849376,"about_ca_system_score_gemma":0.000081303515,"threshold_uncertainty_score":0.23118313},"labels":[],"label_agreement":null},{"id":"W3211012387","doi":"10.3390/app112110041","title":"A Contrast Calibration Protocol for X-ray Speckle Visibility Spectroscopy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Department of Energy","keywords":"Visibility; Optics; Detector; Speckle pattern; Calibration; Pixel; Physics; Photon; Contrast (vision); Computer science; Noise (video); Photon counting; Artificial intelligence; Image (mathematics)","score_opus":0.025521853628765447,"score_gpt":0.3527420045007315,"score_spread":0.32722015087196604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211012387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048306277,0.0000014494657,0.91948956,0.00037245522,0.00004219197,0.04732243,0.000022045282,0.00014908465,0.027770163],"genre_scores_gemma":[0.6105546,3.6504296e-8,0.25848648,0.00012084203,0.00023223548,0.13046221,0.00001139167,0.000010557309,0.00012161938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894834,0.000016783273,0.00018525499,0.00042023932,0.00016851354,0.00026089392],"domain_scores_gemma":[0.9995148,0.00008199638,0.00008984135,0.00021186145,0.000054187574,0.00004726678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275907,0.00011420012,0.00014267428,0.000025121684,0.0002661342,0.0001431606,0.00019632337,0.000017469776,0.00022824743],"category_scores_gemma":[0.000011844079,0.00009892909,0.000049275466,0.00024491327,0.00021673371,0.00020935765,0.000047572703,0.00007119525,0.00000647385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046328423,0.0002968189,0.009246802,0.000030695435,0.000015523225,7.5667816e-7,0.0001890822,0.00019749776,0.4681886,0.51296866,0.0027753569,0.0060438495],"study_design_scores_gemma":[0.00046955977,0.000050332234,0.00029886796,0.0000107533315,0.0000045194947,2.5689013e-7,0.00024891386,0.0018212254,0.75747746,0.23209627,0.007362342,0.00015947466],"about_ca_topic_score_codex":0.000009809508,"about_ca_topic_score_gemma":0.0000037646716,"teacher_disagreement_score":0.66100305,"about_ca_system_score_codex":0.000020450898,"about_ca_system_score_gemma":0.0001708486,"threshold_uncertainty_score":0.40342113},"labels":[],"label_agreement":null},{"id":"W3211064251","doi":"10.3390/app11219948","title":"A Novel Convolutional Neural Network Classification Approach of Motor-Imagery EEG Recording Based on Deep Learning","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"European Commission","keywords":"Brain–computer interface; Motor imagery; Electroencephalography; Computer science; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Speech recognition; Psychology","score_opus":0.06486449308150324,"score_gpt":0.2719908386428583,"score_spread":0.20712634556135504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211064251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77537346,0.0000706018,0.15567558,0.00082483824,0.000795351,0.0003270528,0.0000074772342,0.0001699915,0.06675565],"genre_scores_gemma":[0.98129326,0.0000025894487,0.01777241,0.0006741291,0.00011211506,0.000021998503,0.000004481835,0.000007667389,0.00011132926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981508,0.0001069918,0.00026519626,0.0006394516,0.00051089266,0.00032665647],"domain_scores_gemma":[0.99871355,0.00081882905,0.00019183481,0.00017063298,0.000047047943,0.000058074413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005889799,0.00013268035,0.00017380458,0.000093169525,0.0004694504,0.00013142514,0.00039563508,0.000050650015,0.000033514658],"category_scores_gemma":[0.00022366556,0.000116528274,0.00006542295,0.000836738,0.00046928655,0.00014145728,0.00008408222,0.00022283949,0.000010581866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024522851,0.000110756104,0.00077922456,0.000014992868,0.0000018469791,0.0000013510542,0.00008574316,0.15687206,0.81561345,0.022310693,0.000112095295,0.004073258],"study_design_scores_gemma":[0.0002314836,0.00009058526,0.0046958863,0.000023998216,0.0000045794204,0.000011539822,0.00026888328,0.92598355,0.06777822,0.0003814955,0.00036986504,0.00015990132],"about_ca_topic_score_codex":0.000005001757,"about_ca_topic_score_gemma":0.0000012466957,"teacher_disagreement_score":0.7691115,"about_ca_system_score_codex":0.000026226428,"about_ca_system_score_gemma":0.00009998509,"threshold_uncertainty_score":0.47518852},"labels":[],"label_agreement":null},{"id":"W3212292187","doi":"10.3390/app112110423","title":"Mathematical Analysis of Non-Isothermal Reaction–Diffusion Models Arising in Spherical Catalyst and Spherical Biocatalyst","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Applied mathematics; Mathematics; Chebyshev filter; Isothermal process; Collocation method; Reaction–diffusion system; Mathematical analysis; Physics; Thermodynamics; Differential equation","score_opus":0.05890514577335039,"score_gpt":0.3234039832626375,"score_spread":0.2644988374892871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212292187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7890606,0.000031731826,0.20291023,0.0001633921,0.00003119457,0.00011791538,0.000007908883,0.000022935454,0.0076540946],"genre_scores_gemma":[0.9373692,0.000009473302,0.062467042,0.000022499291,0.000017574785,0.000020436579,0.000017201048,0.000008233901,0.000068316884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983365,0.000047766796,0.00049619644,0.00039416895,0.0005012162,0.00022415817],"domain_scores_gemma":[0.998827,0.00061462674,0.00016245984,0.00025014233,0.00006921801,0.00007658791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042760983,0.00013430142,0.00042390716,0.00022996281,0.00019940075,0.00005315868,0.00015362012,0.00009093634,0.0001428032],"category_scores_gemma":[0.00018577433,0.000119058706,0.00010219048,0.0026598962,0.00042240633,0.00019496848,0.00011540207,0.00014159094,0.000009312797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038270515,0.0017103145,0.002421373,0.00010491979,0.00042673136,0.000010934811,0.0021535761,0.008979033,0.4258731,0.5546974,0.00009285493,0.0034915125],"study_design_scores_gemma":[0.0005827018,0.000043304004,0.023791127,0.000074401134,0.00095910684,0.000021087584,0.0039952206,0.6350572,0.0125720855,0.3224382,0.000021590766,0.00044396624],"about_ca_topic_score_codex":0.0001443353,"about_ca_topic_score_gemma":0.0003178476,"teacher_disagreement_score":0.6260781,"about_ca_system_score_codex":0.000063921696,"about_ca_system_score_gemma":0.00012166147,"threshold_uncertainty_score":0.48550734},"labels":[],"label_agreement":null},{"id":"W3212390906","doi":"10.3390/app112210856","title":"DNA Dosimetry with Gold Nanoparticle Irradiated by Proton Beams: A Monte Carlo Study on Dose Enhancement","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Toronto Metropolitan University","funders":"University of Toronto","keywords":"Colloidal gold; Nanoparticle; Proton; Monte Carlo method; Materials science; Irradiation; Radiochemistry; Dosimetry; Absorbed dose; RADIUS; Proton therapy; Nanotechnology; Chemistry; Nuclear medicine; Physics; Nuclear physics; Medicine","score_opus":0.018608067476454652,"score_gpt":0.28247410723746563,"score_spread":0.263866039761011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212390906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928449,0.00027651174,0.000015420552,0.00037343396,0.00006673939,0.0014515432,0.000003624654,0.00006828789,0.0048995507],"genre_scores_gemma":[0.99714196,0.000008286061,0.00017152916,0.0013322164,0.000046221016,0.00032468245,0.000003959783,0.000012237412,0.0009589284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998169,0.000049627903,0.00023953228,0.00053153594,0.0006861772,0.00032412252],"domain_scores_gemma":[0.9993241,0.00006469042,0.000091787726,0.0003136043,0.000044941404,0.00016090051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042818915,0.00016787199,0.00024702732,0.00009115924,0.00020603256,0.00008094796,0.00013702615,0.0000438082,0.000134918],"category_scores_gemma":[0.000018740384,0.000118167125,0.000032093467,0.0012037453,0.00017371506,0.00009465912,0.000019109411,0.00012839663,0.00006345198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000877867,0.0037042946,0.040681075,0.000037238857,0.0001741043,0.00005697757,0.0036224457,0.00015246133,0.9402223,0.00026651882,0.0023789175,0.007825769],"study_design_scores_gemma":[0.0038228452,0.004018828,0.021828797,0.000038756745,0.000063640546,0.00000776249,0.0051601278,0.00026484753,0.9627864,0.000027423199,0.00174012,0.00024045471],"about_ca_topic_score_codex":0.000036419704,"about_ca_topic_score_gemma":0.000006902296,"teacher_disagreement_score":0.022564067,"about_ca_system_score_codex":0.00006344664,"about_ca_system_score_gemma":0.00018162551,"threshold_uncertainty_score":0.48187155},"labels":[],"label_agreement":null},{"id":"W3212471218","doi":"10.3390/app112110449","title":"Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robot; Cheating; Personalization; Robotics; Artificial intelligence; Computer science; Service (business); Process (computing); Pandemic; Service-learning; Service robot; Human–computer interaction; Coronavirus disease 2019 (COVID-19); Psychology; Business; World Wide Web; Pedagogy; Marketing; Medicine","score_opus":0.03339591726116201,"score_gpt":0.2934661571553078,"score_spread":0.2600702398941458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212471218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.843577,0.000056977173,0.14680588,0.00081571453,0.000129602,0.00011423619,8.523099e-7,0.0003524554,0.008147269],"genre_scores_gemma":[0.9140924,0.0000066017037,0.08540093,0.00031586696,0.0000665061,0.000026573516,0.0000019477627,0.000010883805,0.000078278725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998073,0.00008391003,0.00023521525,0.0007143194,0.00043870858,0.00045487992],"domain_scores_gemma":[0.999061,0.00016761942,0.00016690744,0.00040975522,0.00008350348,0.00011122972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046319052,0.00018398091,0.00021944402,0.000112067835,0.0011578333,0.0005283814,0.0010693935,0.00007488254,0.000014861296],"category_scores_gemma":[0.000049444225,0.00018368122,0.000046520465,0.0013011472,0.00012951756,0.00048353898,0.0006232495,0.00037167215,0.00002652448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053909534,0.00009410933,0.011831297,0.00006246719,0.00003060043,0.000019441002,0.004612108,0.40595976,0.4004234,0.14880167,0.0000048429292,0.028154928],"study_design_scores_gemma":[0.0004933627,0.000025664438,0.03986155,0.000043855358,0.000016815595,0.00012780285,0.00167853,0.87088156,0.08255472,0.0031293589,0.0005270875,0.0006596663],"about_ca_topic_score_codex":0.0004880514,"about_ca_topic_score_gemma":0.000076284385,"teacher_disagreement_score":0.46492183,"about_ca_system_score_codex":0.00009683961,"about_ca_system_score_gemma":0.0004526631,"threshold_uncertainty_score":0.89052343},"labels":[],"label_agreement":null},{"id":"W3212643166","doi":"10.3390/app112210631","title":"Experimental Validation and Evaluation of a Coupled Twist-Camber Morphing Wing Concept","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Camber (aerodynamics); Airfoil; Wing; Wing twist; Morphing; Lift-to-drag ratio; Lift-induced drag; Drag; Structural engineering; Wing loading; Lift (data mining); Aerodynamics; Aerospace engineering; Lift coefficient; Angle of attack; Engineering; Computer science; Mechanics; Physics","score_opus":0.03362233106322447,"score_gpt":0.2772199569730331,"score_spread":0.2435976259098086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212643166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772458,0.00034368783,0.017735412,0.000027482281,0.00009366003,0.0000994666,0.0000010341239,0.000031710937,0.004421748],"genre_scores_gemma":[0.99887776,0.0000019888348,0.0010363555,0.000026291327,0.000030303878,0.000016115608,0.000003942848,0.0000031347695,0.000004090385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939734,0.000017476172,0.00011643223,0.00010968779,0.00028233454,0.00007674289],"domain_scores_gemma":[0.9997983,0.00006298025,0.000025897743,0.00004479948,0.00004192291,0.0000261203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034288858,0.00004925452,0.00007479859,0.000023733524,0.00008634755,0.000044218483,0.000037708804,0.000021670896,0.00018354204],"category_scores_gemma":[0.000035031055,0.00004906014,0.000010476457,0.00013956802,0.000090668094,0.00015147265,0.000013440368,0.00002950967,0.000002544864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015472547,0.000008917226,0.0000746437,0.000005427587,0.000007605295,1.377091e-7,0.0012146888,0.14597848,0.8482004,0.0035144207,0.000022337308,0.00097143365],"study_design_scores_gemma":[0.00028258556,0.000007802083,0.00039769628,0.000006543015,0.000012423138,0.0000011995588,0.0012338932,0.45528618,0.5425515,0.00016078659,0.000009592604,0.00004980818],"about_ca_topic_score_codex":0.0000030189137,"about_ca_topic_score_gemma":0.0000018883511,"teacher_disagreement_score":0.3093077,"about_ca_system_score_codex":0.000016797723,"about_ca_system_score_gemma":0.000043503016,"threshold_uncertainty_score":0.20096566},"labels":[],"label_agreement":null},{"id":"W3214507797","doi":"10.3390/app112210626","title":"Finding Targets in Non-Radial FDH Models: A Hybrid Technique Based on STEM and Extended Ratio Based Approach","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro","keywords":"Hull; Mathematical optimization; Convexity; Computer science; Measure (data warehouse); Linear programming; Data envelopment analysis; Mathematics; Engineering; Data mining","score_opus":0.08932433023044706,"score_gpt":0.3336682476288667,"score_spread":0.24434391739841965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214507797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10681973,0.00010628362,0.8440231,0.00076546276,0.00014195389,0.00065749505,0.000012520182,0.000077108045,0.047396358],"genre_scores_gemma":[0.9621495,0.0000020416103,0.036747705,0.0008241509,0.00003201318,0.00012993436,0.0000053735635,0.000011371562,0.00009791985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99445164,0.00031371164,0.0007583626,0.0015943572,0.002322145,0.0005598048],"domain_scores_gemma":[0.9971253,0.0015885601,0.00027308686,0.00071407785,0.00014287968,0.00015608627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008430666,0.00027553507,0.00051020243,0.0011049446,0.00063669245,0.000752324,0.0010562375,0.00010117943,0.000059395134],"category_scores_gemma":[0.0004970794,0.00021460898,0.00011425298,0.0042580226,0.00062359165,0.00036947094,0.00014252291,0.00028522045,0.000024909152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000728804,0.0006351097,0.0010514823,0.000019205878,0.000008206074,0.00007314574,0.0006780311,0.9330393,0.024605896,0.022650443,0.00060605677,0.016560225],"study_design_scores_gemma":[0.00042470786,0.00006614992,0.0005069441,0.000028297036,0.000009137721,0.0000054551956,0.0007476815,0.9545465,0.03041605,0.012864835,0.00010201663,0.0002821852],"about_ca_topic_score_codex":0.000024232651,"about_ca_topic_score_gemma":0.000037588634,"teacher_disagreement_score":0.85532975,"about_ca_system_score_codex":0.00008377592,"about_ca_system_score_gemma":0.00063272193,"threshold_uncertainty_score":0.87515},"labels":[],"label_agreement":null},{"id":"W3214583783","doi":"10.3390/app112110385","title":"A Brief Review on Challenges in Design and Development of Nanorobots for Medical Applications","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cogmation Robotics (Canada); Toronto Metropolitan University","funders":"","keywords":"Nanorobotics; Systems engineering; Computer science; Robot; Engineering; Nanotechnology; Artificial intelligence; Materials science","score_opus":0.1656629936720615,"score_gpt":0.37450319101156304,"score_spread":0.20884019733950154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214583783","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.2556836e-7,0.9708124,0.026354656,0.000051222192,0.000018908007,0.0013451382,0.0000052600626,0.0000036271606,0.0014086737],"genre_scores_gemma":[0.0000059958916,0.97383213,0.024958275,0.000029464403,0.000039128856,0.001088136,0.000024100225,0.0000081170065,0.000014674991],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986833,0.00004476413,0.00048242512,0.00039358233,0.00022059809,0.00017538038],"domain_scores_gemma":[0.99909705,0.00046589298,0.00021041729,0.00014444331,0.000022103253,0.000060114904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010486478,0.00017490654,0.00088273175,0.00007142265,0.000096311975,0.0000132734585,0.0002936739,0.000067745525,0.000046282217],"category_scores_gemma":[0.000009479718,0.0001280118,0.00007113267,0.00026562868,0.00012409975,0.000013836535,0.00006720368,0.00009892264,0.0000049390105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.5622367e-7,0.000051735384,2.748293e-7,0.0064004553,0.000016307771,6.86807e-8,0.00003414502,0.0000013299332,4.6382635e-7,0.038339723,0.00010042724,0.9550548],"study_design_scores_gemma":[0.00008235295,0.000013968349,3.0990037e-7,0.01827638,0.000052435385,7.3322826e-7,0.000039792165,0.0000024660355,0.000020015326,0.00029622024,0.9810633,0.00015200688],"about_ca_topic_score_codex":0.0000010551755,"about_ca_topic_score_gemma":0.0000019643915,"teacher_disagreement_score":0.9809629,"about_ca_system_score_codex":0.000013049174,"about_ca_system_score_gemma":0.0010266606,"threshold_uncertainty_score":0.52201694},"labels":[],"label_agreement":null},{"id":"W3214960141","doi":"10.3390/app112311442","title":"PGPB Improve Photosynthetic Activity and Tolerance to Oxidative Stress in Brassica napus Grown on Salinized Soils","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Canola; Brassica; Inoculation; Glutathione reductase; Horticulture; Biology; Photosynthesis; Azospirillum brasilense; Osmolyte; Soil salinity; Superoxide dismutase; Botany; Antioxidant; Agronomy; Microbial inoculant; Salinity; Glutathione peroxidase; Biochemistry","score_opus":0.01866034523789473,"score_gpt":0.24279720217435444,"score_spread":0.2241368569364597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214960141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993891,0.00002239026,0.0000031509433,0.001210121,0.00012970346,0.00017178198,0.00007146614,0.000020883808,0.004479503],"genre_scores_gemma":[0.9992622,0.000024798659,0.00011611605,0.00042018833,0.00003917651,0.000030185365,0.0000059079143,4.777215e-7,0.00010092227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893844,0.00007159084,0.00013680698,0.00042312604,0.00016391752,0.00026612362],"domain_scores_gemma":[0.9993141,0.00045321585,0.00006180354,0.0000636019,0.000029180504,0.00007809441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024983083,0.00012373974,0.00018070468,0.000022494713,0.00032718867,0.0001595053,0.00022821996,0.000050763738,0.0001230069],"category_scores_gemma":[0.0000666784,0.00005323488,0.000029643317,0.0005462435,0.00015347489,0.00014608285,0.000107953485,0.00016518097,0.00002776125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044456,0.00013395945,0.0003249433,0.000001940534,0.0000026737941,0.0000030108135,0.00012992062,0.000011815407,0.9537429,0.00022951722,0.00003884609,0.045335993],"study_design_scores_gemma":[0.00012778977,0.00016842538,0.03452935,0.000041869407,0.0000025153017,0.000005054818,0.00092392083,0.000105944455,0.96244204,0.00027054522,0.0012163252,0.00016623008],"about_ca_topic_score_codex":0.00066446717,"about_ca_topic_score_gemma":0.004072301,"teacher_disagreement_score":0.045169763,"about_ca_system_score_codex":0.000022671114,"about_ca_system_score_gemma":0.000022930772,"threshold_uncertainty_score":0.2516504},"labels":[],"label_agreement":null},{"id":"W3216213966","doi":"10.3390/app112411946","title":"Rigidity through a Projective Lens","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Architecture and Computational Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lens (geology); Projective test; Rigidity (electromagnetism); Mathematics; Optics; Physics; Pure mathematics; Engineering; Structural engineering","score_opus":0.03202120885346605,"score_gpt":0.24346090932755945,"score_spread":0.2114397004740934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216213966","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12744376,0.0002317349,0.16569899,0.00019009873,0.0002118538,0.00012058288,0.0000031309803,0.00026123747,0.7058386],"genre_scores_gemma":[0.98621327,0.000007477787,0.013486179,0.00017387487,0.000058043177,0.000014396357,0.0000014226396,0.0000035177518,0.000041831012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954283,0.000007046575,0.00005595255,0.00013381627,0.00014181885,0.00011850503],"domain_scores_gemma":[0.9998541,0.00005874372,0.0000069295306,0.00005314185,0.000014594872,0.000012530646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006310281,0.000053362248,0.000056116533,0.00001595613,0.000117867625,0.000027003258,0.00008544703,0.000016694732,0.000034015815],"category_scores_gemma":[0.0000051276747,0.000044956054,0.000017100288,0.00031013103,0.00008008354,0.000067849614,0.00001775908,0.00005542048,0.000046492038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063696166,0.000056086905,0.0002420821,0.00004312133,0.00006006403,0.00002758414,0.0067839636,0.3483908,0.04823004,0.5563747,0.010671217,0.02911395],"study_design_scores_gemma":[0.0003865798,0.00007737385,0.006522758,0.000023008073,0.000021862246,0.000059810267,0.001536757,0.037107557,0.28190312,0.6198678,0.051795557,0.0006977972],"about_ca_topic_score_codex":0.000002599767,"about_ca_topic_score_gemma":0.0000072897324,"teacher_disagreement_score":0.8587695,"about_ca_system_score_codex":0.000010568153,"about_ca_system_score_gemma":0.00005184904,"threshold_uncertainty_score":0.18332547},"labels":[],"label_agreement":null},{"id":"W3216214742","doi":"10.3390/app112311368","title":"Preliminary Evaluation of Pentacene Field Effect Transistors with Polymer Gate Electret as Ionizing Radiation Dosimeters","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dosimeter; Materials science; Optoelectronics; Dosimetry; Transistor; Absorbed dose; Organic field-effect transistor; Electret; Pentacene; Field-effect transistor; Radiation; Thin-film transistor; Optics; Electrical engineering; Nanotechnology; Physics; Nuclear medicine; Voltage","score_opus":0.008057369700941263,"score_gpt":0.22629100695947324,"score_spread":0.21823363725853198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216214742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931046,0.0020240697,0.00026500522,0.000060462186,0.00008299609,0.00016098877,7.856327e-7,0.000035320005,0.0042657964],"genre_scores_gemma":[0.99975544,0.00006588854,0.00007806565,0.000037039736,0.000017952323,0.00001809841,0.000005917219,0.000009389742,0.000012219981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991389,0.000031417618,0.00011352799,0.00016167772,0.00037888368,0.0001755899],"domain_scores_gemma":[0.9997103,0.00010398886,0.000031518375,0.00009792168,0.000026122116,0.000030122148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049086206,0.00008864195,0.00010826579,0.000053611817,0.0000850594,0.000024452811,0.000087441396,0.00003864128,0.00008226621],"category_scores_gemma":[0.000012131704,0.00007627304,0.00002432395,0.00045057118,0.000034088138,0.000069161964,0.000005916153,0.00007889734,0.0000032679284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027752487,0.000012126801,0.00022874259,0.000029384306,0.000031686974,8.5448494e-7,0.00043939328,0.009486803,0.97756183,0.0005474575,0.00006417337,0.011569778],"study_design_scores_gemma":[0.00027958935,0.00035967983,0.00021899959,0.000013686199,0.00006756191,0.000005114563,0.000059340582,0.01457251,0.9841501,0.00014083595,0.000036253186,0.00009632356],"about_ca_topic_score_codex":0.000019599529,"about_ca_topic_score_gemma":0.000024926238,"teacher_disagreement_score":0.011473455,"about_ca_system_score_codex":0.00005118963,"about_ca_system_score_gemma":0.00013210413,"threshold_uncertainty_score":0.3110324},"labels":[],"label_agreement":null},{"id":"W3216547912","doi":"10.3390/app112311288","title":"Physiological Effects of Green-Colored Food-Derived Bioactive Compounds on Cancer","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Phenethyl isothiocyanate; Sulforaphane; Cancer; Cruciferous vegetables; Benzyl isothiocyanate; LNCaP; Cancer prevention; Cancer research; Prostate cancer; Medicine; Biology; Pharmacology; Isothiocyanate; Biochemistry; Internal medicine","score_opus":0.04820899784605448,"score_gpt":0.3408465921463395,"score_spread":0.292637594300285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216547912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99333584,0.0002817,0.000009629456,0.00045688177,0.00012119937,0.00032666352,0.0000042445045,0.000020570462,0.005443279],"genre_scores_gemma":[0.9991269,0.000045397348,0.00021528182,0.00036246405,0.000114028444,0.00006871175,0.000003410306,0.000004883235,0.000058884423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880743,0.000052088482,0.00010889485,0.00033518558,0.00042562638,0.0002707722],"domain_scores_gemma":[0.99932367,0.000293477,0.00005074684,0.00014404155,0.00008721966,0.000100829486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015538216,0.00010338048,0.0002896539,0.00006226517,0.00014420645,0.0000125436,0.00013152833,0.000059731123,0.00004146544],"category_scores_gemma":[0.00006957746,0.00006283041,0.0000680033,0.0005234051,0.0007655004,0.000024396651,0.000070544294,0.00015275595,0.000011274768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013709388,0.00027476143,0.0006711614,0.00010038414,0.000057774625,0.000018192459,0.0001251756,0.000014043439,0.9934651,0.0021102736,0.00017657546,0.0028494322],"study_design_scores_gemma":[0.0007907888,0.0022430723,0.07040749,0.000076396136,0.000022850132,0.0000034111633,0.00020930788,0.000109395405,0.9252877,0.0006861871,0.00008373286,0.00007966321],"about_ca_topic_score_codex":0.0000514538,"about_ca_topic_score_gemma":0.000015133739,"teacher_disagreement_score":0.069736324,"about_ca_system_score_codex":0.00003173892,"about_ca_system_score_gemma":0.00023650656,"threshold_uncertainty_score":0.28205183},"labels":[],"label_agreement":null},{"id":"W3217615881","doi":"10.3390/app112210957","title":"Random Subspace Ensembles of Fully Convolutional Network for Time Series Classification","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Subspace topology; Artificial intelligence; Machine learning; Classifier (UML); Raw data; Convolutional neural network; Random subspace method; Series (stratigraphy); Construct (python library); Pattern recognition (psychology); Data mining","score_opus":0.023663694011841967,"score_gpt":0.2334169320568871,"score_spread":0.20975323804504514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217615881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030480606,0.00066686946,0.9474342,0.0026861846,0.00024344987,0.00026374153,0.000010685026,0.000091134825,0.018123114],"genre_scores_gemma":[0.75848275,0.000016881162,0.24033645,0.00008918359,0.00012111882,0.000029292998,0.000012373705,0.0000038265393,0.0009081452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886304,0.000027637678,0.00024105057,0.000349242,0.00027711614,0.00024192744],"domain_scores_gemma":[0.99915844,0.00024899605,0.00017884675,0.00020763835,0.00016514694,0.00004093004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073174125,0.00008507309,0.00019930578,0.000039504484,0.00041052504,0.00013659013,0.0004347315,0.000035010504,0.0000382292],"category_scores_gemma":[0.000051449435,0.00007254438,0.000081621205,0.0008145646,0.00027226924,0.00027481143,0.00010282552,0.00003381517,0.000012036181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003099444,0.0000255639,0.00032162236,0.000013573545,0.000025893976,5.711258e-7,0.00024918822,0.0060963216,0.03884195,0.9453932,0.002423645,0.0065774997],"study_design_scores_gemma":[0.0018817462,0.00028846783,0.0071141487,0.00006564471,0.000079709425,0.00003914046,0.0016284203,0.7913322,0.06236255,0.10039206,0.03406595,0.0007499617],"about_ca_topic_score_codex":0.0000040952414,"about_ca_topic_score_gemma":0.000017472183,"teacher_disagreement_score":0.8450011,"about_ca_system_score_codex":0.000010830981,"about_ca_system_score_gemma":0.00018462977,"threshold_uncertainty_score":0.3157468},"labels":[],"label_agreement":null},{"id":"W3217707457","doi":"10.3390/app112311198","title":"Applying Machine Learning Models to First Responder Collisions Beside Roads: Insights from “Two Vehicles Hit a Parked Motor Vehicle” Data","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"AUG Signals (Canada); Sheridan College; York University","funders":"Defence Research and Development Canada","keywords":"Collision; Computer science; Position (finance); Transport engineering; Random forest; Decision tree; Vulnerability (computing); Computer security; Artificial intelligence; Business; Engineering","score_opus":0.058102554831363375,"score_gpt":0.24880187257592698,"score_spread":0.1906993177445636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217707457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97156185,0.002456623,0.016898455,0.00038037173,0.0003038285,0.00054723775,0.00013665573,0.0006320208,0.0070829308],"genre_scores_gemma":[0.9851607,0.00011601928,0.014041296,0.00016431655,0.00014129863,0.00009481879,0.00009239881,0.00003172531,0.00015744186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997947,0.000048763333,0.00033348767,0.00073512894,0.0005085614,0.0004270575],"domain_scores_gemma":[0.9986716,0.0004362783,0.000043430762,0.00060251623,0.000034222416,0.00021195895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032820276,0.00023739104,0.00029062078,0.00013235344,0.00084211654,0.00019009328,0.000902073,0.00008870187,0.000056877765],"category_scores_gemma":[0.000053228126,0.00020893924,0.000043731587,0.00093177374,0.00012057118,0.0003612154,0.00046737058,0.0002994298,0.00010408799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029527779,0.000026869218,0.0005239913,0.000011567759,0.00004101997,0.00002229579,0.0016429893,0.95679873,0.029645078,0.0032781116,0.00044346083,0.0075363587],"study_design_scores_gemma":[0.00048848137,0.000019728328,0.0032437071,0.00005771868,0.000028054657,0.0000026541263,0.0014892766,0.9616714,0.0027596992,0.0013625959,0.028468706,0.00040796297],"about_ca_topic_score_codex":0.00022276338,"about_ca_topic_score_gemma":0.0009537889,"teacher_disagreement_score":0.028025243,"about_ca_system_score_codex":0.000051698386,"about_ca_system_score_gemma":0.00010594484,"threshold_uncertainty_score":0.85202944},"labels":[],"label_agreement":null},{"id":"W4200029631","doi":"10.3390/app12010089","title":"MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Jiangsu Academy of Agricultural Sciences","keywords":"Field-programmable gate array; Computer science; Verilog; Embedded system; Machine learning; Software deployment; Artificial intelligence; Operating system","score_opus":0.040623994196480294,"score_gpt":0.28741742099197587,"score_spread":0.24679342679549557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200029631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011625234,0.00033700423,0.98016626,0.0028371755,0.0002843755,0.00062149944,0.0000034879763,0.00022247947,0.0039025147],"genre_scores_gemma":[0.9483793,0.00008601784,0.049250975,0.0013529464,0.00013280477,0.00042935042,0.0000058329774,0.000009867076,0.00035292926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984881,0.000009823597,0.0001971219,0.00056640175,0.00032266692,0.00041586367],"domain_scores_gemma":[0.998574,0.000740721,0.00010852961,0.00043650295,0.00006196268,0.00007828877],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00043277518,0.0001376996,0.00012605816,0.00004198033,0.0015706919,0.00034457564,0.0015081777,0.000036796002,0.000019231662],"category_scores_gemma":[0.0000580205,0.000088056004,0.000056677138,0.0013951564,0.00023670886,0.0003869303,0.00035946278,0.00019476043,0.000047691945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005522611,0.000045941088,0.00037706783,0.000008346793,0.000012529792,0.00000246193,0.0004292938,0.034910202,0.007960094,0.68693596,0.0010134917,0.2682991],"study_design_scores_gemma":[0.0007765392,0.00008242269,0.001212321,0.0000197965,0.000018691926,0.000040110757,0.0006348265,0.5181871,0.16877647,0.119534045,0.18995345,0.00076421734],"about_ca_topic_score_codex":0.0000030239012,"about_ca_topic_score_gemma":0.000024389059,"teacher_disagreement_score":0.93675405,"about_ca_system_score_codex":0.00002307828,"about_ca_system_score_gemma":0.000110588255,"threshold_uncertainty_score":0.99972916},"labels":[],"label_agreement":null},{"id":"W4200048145","doi":"10.3390/app112412002","title":"Health Hazards Assessment and Geochemistry of ElSibai-Abu ElTiyur Granites, Central Eastern Desert, Egypt","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geochemistry; Granitic rock; Geology; Radionuclide; Natural radioactivity; Environmental science; Physics; Nuclear physics","score_opus":0.08449622752486108,"score_gpt":0.4240213616670633,"score_spread":0.3395251341422022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200048145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673729,0.0006120171,0.00069214037,0.0020731653,0.00034395818,0.0003514579,0.000024047768,0.000036383564,0.02849391],"genre_scores_gemma":[0.9960755,0.00022145976,0.0025569175,0.00067558273,0.000100438905,0.00002856606,0.000010103524,0.000007842965,0.0003235672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775714,0.00020861934,0.00039459855,0.00040545466,0.00062235055,0.00061182416],"domain_scores_gemma":[0.99903065,0.0001852517,0.00025540797,0.00022572113,0.000080219885,0.00022272761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013451045,0.00013642419,0.0003321533,0.000054461896,0.0009890506,0.000024168756,0.00021225693,0.000096193035,0.00014977284],"category_scores_gemma":[0.000040530416,0.00011512182,0.000037672486,0.00037238176,0.00030958664,0.00010921685,0.00011097586,0.0003464415,0.000009219003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053758024,0.00059327995,0.79242754,0.0014453323,0.000097152486,0.00001443814,0.005642007,0.000045318062,0.14043899,0.007547416,0.005112149,0.046582643],"study_design_scores_gemma":[0.0038575951,0.0003212191,0.9078282,0.0010293624,0.00007191957,0.000024322178,0.02827366,0.0023757755,0.03564286,0.003945018,0.01574473,0.0008853502],"about_ca_topic_score_codex":0.00023182113,"about_ca_topic_score_gemma":0.0002929123,"teacher_disagreement_score":0.11540067,"about_ca_system_score_codex":0.00011661082,"about_ca_system_score_gemma":0.0019365507,"threshold_uncertainty_score":0.76070774},"labels":[],"label_agreement":null},{"id":"W4200117312","doi":"10.3390/app112411796","title":"Online Monitoring of Power Converter Degradation Using Deep Neural Network","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Korea Institute of Radiological and Medical Sciences","keywords":"Snubber; Insulated-gate bipolar transistor; Computer science; Spectrogram; Resistor; Grayscale; Convolutional neural network; Waveform; Converters; Voltage; Electronic engineering; Artificial intelligence; Electrical engineering; Engineering; Capacitor; Image (mathematics)","score_opus":0.03801575006552831,"score_gpt":0.2619042129776043,"score_spread":0.22388846291207598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200117312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717355,0.0007927031,0.00052914885,0.000017849728,0.00063397246,0.00004726783,0.0000014360978,0.00020920465,0.00059485546],"genre_scores_gemma":[0.9928698,0.00001529772,0.0070180804,0.000016796492,0.00006349126,0.0000024253436,0.0000016790974,0.000009005079,0.0000034024463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992877,0.000006380568,0.00016625192,0.00016454658,0.00016484522,0.00021026787],"domain_scores_gemma":[0.99970543,0.000054356133,0.000034268425,0.00015476195,0.000030058542,0.000021115824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009047371,0.00008967631,0.00013047735,0.00005390226,0.00005775817,0.000029131652,0.00019469156,0.00005783571,0.00002326987],"category_scores_gemma":[0.000021312713,0.00008614108,0.000026417547,0.00053863827,0.00015980491,0.00012070957,0.000051203384,0.00009498459,0.000002189236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.7321065e-7,0.0000074138165,0.012802625,0.000009588461,0.000010231873,0.0000020017737,0.00008896545,0.06890869,0.911583,0.0008062259,0.000022077322,0.0057584844],"study_design_scores_gemma":[0.00013012011,0.000013150046,0.008607477,0.0000222871,0.000012735114,0.000011372711,0.0027443108,0.22799319,0.7594461,0.0007770919,0.000041382496,0.00020077504],"about_ca_topic_score_codex":0.0000051446036,"about_ca_topic_score_gemma":0.000005427029,"teacher_disagreement_score":0.1590845,"about_ca_system_score_codex":0.000026566957,"about_ca_system_score_gemma":0.000017983733,"threshold_uncertainty_score":0.35127312},"labels":[],"label_agreement":null},{"id":"W4200145403","doi":"10.3390/app12010323","title":"Lower-Body Positive Pressure Treadmill Training for Pediatric Gait Disorders: A Scoping Review","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Fonds de Recherche du Québec - Santé; Université Laval","keywords":"CINAHL; Physical medicine and rehabilitation; Medicine; Cerebral palsy; Gait; Physical therapy; Treadmill; MEDLINE; Gait training; Psychological intervention; Rehabilitation","score_opus":0.07845859430190946,"score_gpt":0.38550167416441883,"score_spread":0.30704307986250934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200145403","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000017889956,0.9760596,0.00014927141,0.0002724225,0.00023676228,0.007018787,0.0000648385,0.000062313506,0.016134221],"genre_scores_gemma":[0.000031069627,0.9958772,0.0005313513,0.0011390069,0.00036572316,0.0012694291,0.0002585938,0.00004441086,0.0004831995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969082,0.000071762806,0.0007923488,0.0010635208,0.0005365537,0.00062761566],"domain_scores_gemma":[0.99839467,0.00052978366,0.00047416968,0.00035751797,0.00006192258,0.00018191498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087672117,0.0005271337,0.0025182024,0.00022319319,0.00034868903,0.000078813806,0.00037171398,0.00021226984,0.00027131915],"category_scores_gemma":[0.00022139159,0.0003942923,0.0007850672,0.001209694,0.00021962512,0.00009733774,0.00010168619,0.0002933214,0.000020779327],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007838416,0.00013524585,0.0000047500675,0.20319739,0.00016889458,0.000004383689,0.0001362061,5.740923e-7,4.9568285e-7,0.0016551657,0.0016972739,0.79299176],"study_design_scores_gemma":[0.0005593145,0.00034009843,0.0000025123252,0.2939633,0.0056370925,0.000013872986,0.0002287288,0.0000040870073,8.3339404e-7,0.00010782902,0.698561,0.0005812902],"about_ca_topic_score_codex":0.000011260671,"about_ca_topic_score_gemma":0.000033358323,"teacher_disagreement_score":0.7924105,"about_ca_system_score_codex":0.000032489308,"about_ca_system_score_gemma":0.0015502988,"threshold_uncertainty_score":0.99985087},"labels":[],"label_agreement":null},{"id":"W4200164838","doi":"10.3390/app112411902","title":"A Dual-Stage Vocabulary of Features (VoF)-Based Technique for COVID-19 Variants’ Classification","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Pattern recognition (psychology); Classifier (UML); Coronavirus disease 2019 (COVID-19); Support vector machine; Feature vector; Deep learning","score_opus":0.07500967838295301,"score_gpt":0.3714151547395922,"score_spread":0.29640547635663916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200164838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10400808,0.0011475176,0.563701,0.3091152,0.00069417263,0.008387707,0.00027982914,0.0007705522,0.011895968],"genre_scores_gemma":[0.93352324,0.000014230364,0.03903236,0.02644489,0.00007698498,0.00054227334,0.000054264172,0.000016010361,0.00029575263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983972,0.000043129312,0.0002869014,0.0005551756,0.000461397,0.00025624633],"domain_scores_gemma":[0.9981816,0.00092428253,0.0001759194,0.0004185692,0.00013599133,0.00016366436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011583609,0.00013839744,0.00028456832,0.00021171478,0.0002470047,0.00004258964,0.000181346,0.00012495907,0.000090607944],"category_scores_gemma":[0.0011148712,0.000121593475,0.00009253647,0.0009525827,0.00047558377,0.000053000942,0.000045013156,0.00011804568,0.0000045799334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012375221,0.00036915144,0.0014691821,0.00059190026,0.000023034538,0.000026389189,0.00030614773,0.00048443637,0.9501608,0.027569665,0.017900592,0.0009749588],"study_design_scores_gemma":[0.0018954687,0.00031723414,0.014344518,0.00014631519,0.00012634165,0.000030391617,0.0008749676,0.0015272716,0.8993207,0.0027159953,0.07840329,0.0002975062],"about_ca_topic_score_codex":0.000064547974,"about_ca_topic_score_gemma":0.000041184936,"teacher_disagreement_score":0.82951516,"about_ca_system_score_codex":0.00012847687,"about_ca_system_score_gemma":0.0024947322,"threshold_uncertainty_score":0.4958438},"labels":[],"label_agreement":null},{"id":"W4200242060","doi":"10.3390/app112411705","title":"Robust Control for Non-Minimum Phase Systems with Actuator Faults: Application to Aircraft Longitudinal Flight Control","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Minimum phase; Phase margin; Linear-quadratic regulator; Controller (irrigation); Robustness (evolution); Optimal control; Full state feedback; Control system; Robust control; Actuator; Engineering; Computer science; Mathematics; Control (management); Transfer function; Mathematical optimization","score_opus":0.019584440344361787,"score_gpt":0.25179833304655225,"score_spread":0.23221389270219045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200242060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040430613,0.00023367474,0.9542302,0.00031818735,0.00038115375,0.0023867264,0.00014588924,0.00023620378,0.0016373721],"genre_scores_gemma":[0.99171895,0.0000017001191,0.005757753,0.00015811532,0.0005669914,0.0016457496,0.000016408063,0.000043340206,0.0000910173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978729,0.000023010814,0.00043381425,0.00063596317,0.00047490414,0.0005594144],"domain_scores_gemma":[0.99869245,0.00035877278,0.00011029624,0.000358377,0.00024441906,0.00023566581],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005462862,0.00030832939,0.00054618955,0.00012499111,0.00031681862,0.00021086253,0.0003988409,0.00009820642,0.0000074903082],"category_scores_gemma":[0.000045588895,0.00025004693,0.00007368996,0.0005431756,0.00015938898,0.00018647502,0.000019543915,0.00011435412,0.00008889826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064954243,0.00028665402,0.00065245177,0.00030741523,0.00046869542,0.000033116063,0.00049570436,0.67012876,0.31176636,0.006460801,0.0031927265,0.005557771],"study_design_scores_gemma":[0.009147069,0.00046045234,0.00023911594,0.000090898866,0.00013191224,0.00002783543,0.0009818263,0.96201015,0.005678624,0.000027381473,0.020544572,0.00066014874],"about_ca_topic_score_codex":0.000012642169,"about_ca_topic_score_gemma":0.00006750331,"teacher_disagreement_score":0.95128834,"about_ca_system_score_codex":0.0001078977,"about_ca_system_score_gemma":0.0001719933,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4200253628","doi":"10.3390/app112411814","title":"Using Feedback Strategies in Simulated Annealing with Crystallization Heuristic and Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Simulated annealing; Mathematical optimization; Computer science; Algorithm; Heuristic; Mathematics","score_opus":0.11168470928646797,"score_gpt":0.3487635209220039,"score_spread":0.23707881163553596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200253628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1802105,0.00022348545,0.81474763,0.000053842596,0.000027382604,0.0001909777,0.0000021978772,0.000036338417,0.0045076474],"genre_scores_gemma":[0.9728252,0.000007918864,0.02705687,0.000032670156,0.00002386225,0.000008727949,0.0000019025296,0.0000051675584,0.000037631602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845326,0.000039667237,0.00029727834,0.00048074874,0.00052305515,0.00020596798],"domain_scores_gemma":[0.9989689,0.00056266546,0.000084098225,0.00019671966,0.00012768217,0.00005996334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009867079,0.00010210417,0.00016594364,0.00015811934,0.0002613249,0.00047911066,0.0002442492,0.00004417198,0.000025073481],"category_scores_gemma":[0.00018487203,0.00007243937,0.000011445741,0.0020495492,0.00033153678,0.00023325601,0.00005691843,0.0000734335,0.000005973222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051233155,0.000015340018,0.000899503,0.0000072028606,0.0000021371868,0.0000043722935,0.00019516083,0.92808086,0.0040134364,0.06579375,0.0000063357124,0.0009767989],"study_design_scores_gemma":[0.00052863016,0.000046953006,0.0060069105,0.00005881138,0.000018189821,0.00003719567,0.008433386,0.8080772,0.0010795613,0.1745661,0.00074375,0.00040331637],"about_ca_topic_score_codex":0.00001536639,"about_ca_topic_score_gemma":0.000034761008,"teacher_disagreement_score":0.79261476,"about_ca_system_score_codex":0.000021035396,"about_ca_system_score_gemma":0.0002570689,"threshold_uncertainty_score":0.4620075},"labels":[],"label_agreement":null},{"id":"W4200263174","doi":"10.3390/app112411998","title":"Is Cork Growth a Reliable Proxy for Stem Diameter Growth in Cork Oak (Quercus suber L.)? Implications for Forest Management under Climate Change in Mediterranean Regions","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cork; Quercus suber; Dendrochronology; Basal area; Mediterranean climate; Environmental science; Cambium; Growing season; Horticulture; Forestry; Botany; Biology; Geography; Ecology","score_opus":0.042086940560483274,"score_gpt":0.26028678339020234,"score_spread":0.21819984282971905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200263174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494644,0.00006775206,0.010339002,0.010614943,0.0003080778,0.0046176715,0.00029241017,0.00008279201,0.02421296],"genre_scores_gemma":[0.98776156,0.00013054268,0.00833817,0.0011118101,0.00002637887,0.0023188228,0.00007293717,0.000015061338,0.00022469259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983666,0.000017216382,0.0003005368,0.0005890519,0.00020990892,0.0005166671],"domain_scores_gemma":[0.9994786,0.00012860261,0.00008962806,0.00021586406,0.000013385526,0.00007395492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042825,0.0001528821,0.00017637749,0.00011953742,0.00027251118,0.000084554355,0.00033422656,0.000068945774,0.000021520673],"category_scores_gemma":[0.0000059453373,0.0001346947,0.000057082452,0.0009337792,0.00021605591,0.00023463121,0.00016445288,0.00007996618,0.000018239372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056598295,0.000374425,0.6533517,0.00015004141,0.000022104085,0.000007825176,0.0019531515,0.003324559,0.0012900688,0.3342975,0.0016957972,0.0034761748],"study_design_scores_gemma":[0.0023369286,0.00018355934,0.68721104,0.00019991653,0.00008551157,0.000023023784,0.0011179592,0.07472949,0.0010831322,0.2295933,0.00241871,0.0010174052],"about_ca_topic_score_codex":0.00015728622,"about_ca_topic_score_gemma":0.0017879857,"teacher_disagreement_score":0.1047042,"about_ca_system_score_codex":0.0001409202,"about_ca_system_score_gemma":0.000016580723,"threshold_uncertainty_score":0.549269},"labels":[],"label_agreement":null},{"id":"W4200270642","doi":"10.3390/app112411847","title":"A Multi-Tool Analysis to Assess the Effectiveness of Passive Ice Protection Materials to Assist Rotorcraft Manual De-Icing","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Civil Aviation Organization; Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Crew; Computer science; Environmental science; Icing conditions; Marine engineering; Engineering; Aeronautics; Geology","score_opus":0.026327291473773277,"score_gpt":0.2823907125132571,"score_spread":0.2560634210394838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200270642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70883965,0.000003925276,0.2901622,0.000057272788,0.00008912541,0.00035529232,0.0000046940368,0.00018859602,0.00029920685],"genre_scores_gemma":[0.98980755,0.0000010729623,0.00974219,0.000035277575,0.000022506238,0.00036932144,0.0000011470079,0.000009032851,0.000011890788],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989178,0.00010580899,0.00019549222,0.00027919738,0.00023957073,0.00026211145],"domain_scores_gemma":[0.9993103,0.00028993867,0.000042279597,0.00026152734,0.000063774394,0.00003217741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014601278,0.00012555686,0.00026740713,0.0002302476,0.00021603175,0.00012046978,0.00030633816,0.0000676751,0.000006559637],"category_scores_gemma":[0.00027139028,0.000091999405,0.000047471134,0.0020156729,0.00008823649,0.000052945812,0.00010702544,0.00009007397,0.000011499988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014663577,0.000013952034,0.0007537506,0.00006542247,0.00009305684,0.0000023582277,0.00029769514,0.13066451,0.8633309,0.00078392605,0.000011610002,0.003968157],"study_design_scores_gemma":[0.000075771895,0.00003161753,0.050417975,0.00004907563,0.000067882465,0.0000023452867,0.001077571,0.0031140088,0.9448611,0.00015478946,0.000020636022,0.00012719088],"about_ca_topic_score_codex":0.00016265009,"about_ca_topic_score_gemma":0.00009914355,"teacher_disagreement_score":0.2809679,"about_ca_system_score_codex":0.00007530539,"about_ca_system_score_gemma":0.000040475188,"threshold_uncertainty_score":0.3751627},"labels":[],"label_agreement":null},{"id":"W4200328023","doi":"10.3390/app112412157","title":"Design and Implementation of New Coplanar FA Circuits without NOT Gate and Based on Quantum-Dot Cellular Automata Technology","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Quantum dot cellular automaton; XOR gate; CMOS; Computer science; Electronic engineering; Electronic circuit; Inverter; Logic gate; Adder; Miniaturization; Engineering; Electrical engineering","score_opus":0.031177328274459987,"score_gpt":0.2745592747732121,"score_spread":0.24338194649875214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200328023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5055562,0.00020384758,0.4915258,0.001746447,0.000115588824,0.00039250392,0.0000038782064,0.00020892946,0.00024676148],"genre_scores_gemma":[0.9541597,0.000019336081,0.04546924,0.0002968253,0.000011010311,0.000015518586,0.0000040396167,0.000008811567,0.000015530204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978577,0.00008112008,0.00033067504,0.0008119671,0.0005432347,0.0003752896],"domain_scores_gemma":[0.9988502,0.00019826983,0.00020637977,0.0005723966,0.000051016897,0.00012171426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009084982,0.00019686879,0.00028514705,0.00031319613,0.00026828863,0.00020422305,0.00077608274,0.0000807349,0.00001824982],"category_scores_gemma":[0.000029913754,0.00018178836,0.000021783728,0.0011280244,0.00042874712,0.00025149202,0.00026526744,0.000111227186,0.0000139814865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010006535,0.000071083865,0.0013771515,0.00006654807,0.000019590536,0.00005239155,0.00089381385,0.000889503,0.6926758,0.25064948,0.00021906939,0.05307553],"study_design_scores_gemma":[0.00087589625,0.00025485794,0.0013004242,0.00003301424,0.000016025573,0.000031594096,0.00040411402,0.3119615,0.6742953,0.010406226,0.0001610133,0.00026001444],"about_ca_topic_score_codex":0.000040406954,"about_ca_topic_score_gemma":0.000013296418,"teacher_disagreement_score":0.44860345,"about_ca_system_score_codex":0.000020397894,"about_ca_system_score_gemma":0.00049593544,"threshold_uncertainty_score":0.74131143},"labels":[],"label_agreement":null},{"id":"W4200329281","doi":"10.3390/app112411910","title":"Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Process (computing); Process control; Monitoring and control; Machine learning; Artificial intelligence; Control engineering; Engineering","score_opus":0.025678022865831696,"score_gpt":0.30443158154951117,"score_spread":0.27875355868367946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200329281","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011825645,0.9970849,0.00016088765,0.0000025346187,0.0000404803,0.00073494227,0.000094276664,0.00004272052,0.0017210043],"genre_scores_gemma":[0.020296296,0.97876817,0.00023403042,0.0000026023324,0.000051444335,0.00057685433,0.00003828461,0.000023050277,0.000009264256],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858844,0.000041395502,0.00061752286,0.00033048363,0.00021559228,0.00020653577],"domain_scores_gemma":[0.999115,0.00035559476,0.00032783367,0.00012518036,0.000035608446,0.0000407811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004122154,0.000278616,0.0014727248,0.00017196353,0.00006230001,0.000028196204,0.00028130648,0.000093940645,0.000052909163],"category_scores_gemma":[0.000042570653,0.00022496075,0.00007706282,0.00038959636,0.00019177074,0.000069306545,0.000068315174,0.00023484103,0.0000019546767],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.7834704e-7,0.000013149197,0.000003800011,0.09562105,0.000042298438,0.0000012306682,0.00007794053,0.00013958084,0.000020270701,0.00015487892,0.000006618128,0.9039184],"study_design_scores_gemma":[0.00022845838,0.00005187976,0.000021069904,0.09616634,0.00042444302,0.000018217628,0.00023623851,0.000026701113,0.027844021,0.00042421836,0.87379926,0.0007591722],"about_ca_topic_score_codex":0.000007722118,"about_ca_topic_score_gemma":0.0000018970486,"teacher_disagreement_score":0.90315926,"about_ca_system_score_codex":0.000019297884,"about_ca_system_score_gemma":0.000086046464,"threshold_uncertainty_score":0.9173633},"labels":[],"label_agreement":null},{"id":"W4200341038","doi":"10.3390/app112411874","title":"Thermally Constrained Conceptual Deep Geological Repository Design under Spacing and Placing Uncertainties","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization; University of Waterloo","funders":"","keywords":"Conceptual design; Multiphysics; Radioactive waste; Process (computing); Computer science; Spent nuclear fuel; Engineering design process; Nuclear engineering; Environmental science; Mechanical engineering; Engineering; Structural engineering; Waste management; Finite element method","score_opus":0.027455110418822065,"score_gpt":0.22256727532529136,"score_spread":0.1951121649064693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200341038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8746443,0.00015218426,0.08011029,0.00029697697,0.00007929494,0.000099390425,3.2120232e-7,0.000044163342,0.044573084],"genre_scores_gemma":[0.99393636,0.0000075527864,0.004529185,0.0004815408,0.000020766012,0.00001616789,5.8940606e-7,0.0000029031428,0.0010049468],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988801,0.00006750134,0.0001476218,0.00037905062,0.0002794915,0.00024627292],"domain_scores_gemma":[0.9995852,0.00021846122,0.000049380982,0.00008244096,0.000011032581,0.000053477375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036017763,0.00011070989,0.00013143619,0.000016404292,0.0006695517,0.000112895475,0.00012677193,0.000040996765,0.00024376088],"category_scores_gemma":[0.000020249876,0.00008361358,0.000019136587,0.0001741598,0.002379402,0.00013802924,0.00019538174,0.00006852818,0.000028344448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056512796,0.0001316312,0.09944014,0.000014330294,0.00008851868,0.00013513095,0.020362977,0.035815377,0.65615326,0.13750353,0.0004947078,0.049803857],"study_design_scores_gemma":[0.0030257723,0.0006469634,0.37711862,0.00006717306,0.00015146277,0.0005868608,0.28382537,0.017809184,0.28747365,0.020883515,0.0060588997,0.0023525304],"about_ca_topic_score_codex":0.000039801886,"about_ca_topic_score_gemma":0.000039437276,"teacher_disagreement_score":0.36867964,"about_ca_system_score_codex":0.00003460019,"about_ca_system_score_gemma":0.000025935062,"threshold_uncertainty_score":0.87670064},"labels":[],"label_agreement":null},{"id":"W4200348401","doi":"10.3390/app12010026","title":"Efficacy of Instruments for Professional Oral Hygiene on Dental Implants: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Curette; Dentistry; Cochrane Library; Systematic review; Oral hygiene; Peri-implantitis; MEDLINE; Dental implant; Implant; Randomized controlled trial; Surgery","score_opus":0.09089733954826805,"score_gpt":0.42785759595988176,"score_spread":0.3369602564116137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200348401","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022141043,0.9915968,0.000011488226,0.0000046259825,0.0011992826,0.005471067,0.00034450108,0.00006323085,0.00108758],"genre_scores_gemma":[0.00043968804,0.99632305,0.00063283,0.00020899155,0.00004539426,0.001240764,0.0003359068,0.00003118231,0.00074219395],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99672467,0.000114188464,0.0013141722,0.0006308035,0.0008310622,0.00038508445],"domain_scores_gemma":[0.99785507,0.0005151479,0.0010561752,0.0004440282,0.000043373384,0.000086220476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010259898,0.00042839345,0.0031277863,0.00018421368,0.00019925146,0.000082685365,0.0010813436,0.00019376345,0.000083010906],"category_scores_gemma":[0.00015159257,0.00026705442,0.00068441284,0.0005981572,0.00017295888,0.00007841878,0.0002754415,0.00020325666,0.0001549913],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070007354,0.000191517,0.000005735209,0.912049,0.00014896733,0.000035127898,0.000007897401,2.6039684e-8,0.0000030072924,0.005249215,0.0035152433,0.07878725],"study_design_scores_gemma":[0.00040388506,0.000121589415,0.000007057629,0.94367856,0.0017104029,0.0013757978,0.00007853645,0.0000010245076,0.000090394744,0.00006384012,0.05197491,0.0004940064],"about_ca_topic_score_codex":0.000005776204,"about_ca_topic_score_gemma":0.000006762379,"teacher_disagreement_score":0.07829324,"about_ca_system_score_codex":0.00008659882,"about_ca_system_score_gemma":0.00025147683,"threshold_uncertainty_score":0.9999782},"labels":[],"label_agreement":null},{"id":"W4200474921","doi":"10.3390/app12010208","title":"Sodium Iodide as a Contrast Agent for X-ray Micro-CT of a Wood Plastic Composite","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microstructure; Materials science; Composite material; Wood-plastic composite; Composite number; Aqueous solution; Iodide; Sodium; Sodium iodide; Chemistry; Metallurgy; Organic chemistry","score_opus":0.015055490155065075,"score_gpt":0.2524548575070569,"score_spread":0.2373993673519918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200474921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939868,0.00032354132,0.0010975456,0.00024113085,0.0005047404,0.00039738964,0.00004259516,0.000062457846,0.003343823],"genre_scores_gemma":[0.9819787,0.0000052822647,0.017331952,0.00036154344,0.000060649516,0.00005602888,0.000010553069,0.000009824392,0.00018546794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981072,0.000031656997,0.00039547018,0.0005212761,0.00046497703,0.00047941957],"domain_scores_gemma":[0.9986176,0.0007229518,0.0001966571,0.00024623875,0.00011840892,0.000098152625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041172284,0.00019044674,0.0003430695,0.00009049198,0.0003446667,0.00020973249,0.00062214275,0.00003892065,0.00015247846],"category_scores_gemma":[0.000102260885,0.00015593905,0.000099261226,0.0004422366,0.0005154683,0.00015043074,0.0001725893,0.00008249566,0.0001610118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056574903,0.00003266432,0.00003693175,0.000042230375,0.000010959038,0.000007913631,0.00015927287,0.0004744529,0.9902938,0.008440395,0.00022013974,0.00022464698],"study_design_scores_gemma":[0.00060943124,0.00011453158,0.00012706732,0.000042040087,0.000030510468,0.000040337916,0.00019434039,0.00035385124,0.9956538,0.001527285,0.0011003098,0.0002064651],"about_ca_topic_score_codex":0.000026911921,"about_ca_topic_score_gemma":0.000010284584,"teacher_disagreement_score":0.016234407,"about_ca_system_score_codex":0.000034254488,"about_ca_system_score_gemma":0.00023123583,"threshold_uncertainty_score":0.63590103},"labels":[],"label_agreement":null},{"id":"W4200479391","doi":"10.3390/app112412063","title":"Role of Blockchain Technology in Combating COVID-19 Crisis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Blockchain; Coronavirus disease 2019 (COVID-19); Pandemic; Social distance; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Political science; Computer security; Computer science; Virology; Medicine; Infectious disease (medical specialty)","score_opus":0.014054241706309992,"score_gpt":0.26706931820635976,"score_spread":0.2530150765000498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200479391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8412791,0.0013860641,0.099074304,0.04672917,0.00007178306,0.00035334454,0.000004118446,0.0005539557,0.010548163],"genre_scores_gemma":[0.9470438,0.000011202208,0.051969808,0.0008941344,0.0000054303605,0.00006619552,4.5247378e-7,0.0000025022873,0.000006505592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861205,0.000030510533,0.0002952239,0.0005467389,0.00022235533,0.00029309856],"domain_scores_gemma":[0.9990516,0.00014332308,0.00012702314,0.00056495995,0.000050738,0.00006238962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007572986,0.00009812288,0.00020185226,0.00041077813,0.00025101076,0.00003417405,0.0014097855,0.0001475604,0.000013754504],"category_scores_gemma":[0.00012722707,0.00009580261,0.000028242954,0.0040200716,0.0005145769,0.000042874315,0.0005485915,0.00018797652,0.000007754842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.9137964e-7,0.0000721869,0.0016640894,0.0000059741296,0.000002541036,0.0000032816952,0.0004953805,0.00027182855,0.025354907,0.96533734,0.00009592282,0.0066960547],"study_design_scores_gemma":[0.0002461952,0.000032416756,0.00026611268,0.000004826937,0.0000023370815,0.00002598151,0.004523192,0.01661409,0.13863161,0.83715546,0.0023259525,0.0001718187],"about_ca_topic_score_codex":0.000060887152,"about_ca_topic_score_gemma":0.00012758783,"teacher_disagreement_score":0.12818189,"about_ca_system_score_codex":0.00003278605,"about_ca_system_score_gemma":0.00030512808,"threshold_uncertainty_score":0.3906717},"labels":[],"label_agreement":null},{"id":"W4200479852","doi":"10.3390/app112412054","title":"Healthy Knee Kinematic Phenotypes Identification Based on a Clustering Data Analysis","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; École de Technologie Supérieure; Université TÉLUQ","funders":"Canada Research Chairs","keywords":"Kinematics; Cluster analysis; Concatenation (mathematics); Computer science; Dimensionality reduction; Gait analysis; Procrustes analysis; Population; Gait; Artificial intelligence; Identification (biology); Pattern recognition (psychology); Mathematics; Data mining; Physical medicine and rehabilitation; Medicine; Physics; Biology","score_opus":0.05406822522590162,"score_gpt":0.3315018176702303,"score_spread":0.2774335924443287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200479852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8755329,0.0002474215,0.07806218,0.016533364,0.0005913839,0.00094662054,0.000050947157,0.0003192811,0.027715867],"genre_scores_gemma":[0.983539,0.0000034140728,0.014697337,0.0014003019,0.000041551823,0.00001395062,0.00007411273,0.0000066789894,0.00022364521],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839336,0.000029725741,0.00027900565,0.0005525614,0.0005306063,0.00021477039],"domain_scores_gemma":[0.9986662,0.00023385875,0.000103288665,0.00086591847,0.000037415182,0.00009326461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061219855,0.00010187459,0.00026519847,0.0002420968,0.00021336434,0.00008810483,0.0002259271,0.00003025321,0.0002634177],"category_scores_gemma":[0.00023777878,0.00008288682,0.000053328953,0.0017427164,0.00015453587,0.00010445536,0.00011709651,0.00007948004,0.00015972473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016386637,0.0036952733,0.39038315,0.0037571022,0.0027465248,0.00032888303,0.0051428946,0.23728356,0.16292399,0.0315657,0.007652259,0.15288201],"study_design_scores_gemma":[0.0016627959,0.00023214243,0.30599576,0.00009028414,0.000846366,0.0000140650245,0.0014572011,0.6850562,0.0034207215,0.000360103,0.0005414813,0.00032286445],"about_ca_topic_score_codex":0.000026188214,"about_ca_topic_score_gemma":0.00022655023,"teacher_disagreement_score":0.44777265,"about_ca_system_score_codex":0.00003384749,"about_ca_system_score_gemma":0.00019054893,"threshold_uncertainty_score":0.33800262},"labels":[],"label_agreement":null},{"id":"W4200506602","doi":"10.3390/app12010267","title":"Statistical Modelling for the Source Rock Parameters of the Montney Formation, NE British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kerogen; Source rock; Total organic carbon; Organic matter; Maturity (psychological); Correlation coefficient; Principal component analysis; Mineralogy; Soil science; Environmental science; Chemistry; Geology; Environmental chemistry; Statistics; Mathematics; Geomorphology; Organic chemistry","score_opus":0.015297538937764385,"score_gpt":0.19338210900681513,"score_spread":0.17808457006905073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200506602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12053719,0.00014563401,0.8778183,0.00028949717,0.00009837947,0.0001386461,0.000024318955,0.000018155062,0.0009298824],"genre_scores_gemma":[0.9974656,0.000024317422,0.002135105,0.000125827,0.000011618006,0.000030295992,0.000004570079,0.000004224138,0.0001984046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934834,0.000010725506,0.00016251864,0.00009033105,0.00025650533,0.00013158815],"domain_scores_gemma":[0.99961734,0.00017502307,0.00002841223,0.00011007087,0.000038556165,0.000030611063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014841309,0.000037785147,0.00008415743,0.000007088969,0.0003097745,0.00014787295,0.00020198832,0.000016894577,0.00001953733],"category_scores_gemma":[0.00002855749,0.00003254462,0.00003114107,0.00031873872,0.00006241846,0.000051686708,0.000020433627,0.00004949834,4.806296e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.6808843e-7,0.000002284984,0.000058059937,0.000010460351,0.000012386765,1.5588554e-7,0.00011371492,0.9958907,0.00011278808,0.00015323024,0.0025160923,0.0011298645],"study_design_scores_gemma":[0.000057280082,0.0000020787147,0.000072215415,0.000004925375,0.000016797121,0.0000012742239,0.0012782515,0.9947954,0.0009553665,0.0005525655,0.0022144392,0.00004941455],"about_ca_topic_score_codex":0.14415754,"about_ca_topic_score_gemma":0.8353152,"teacher_disagreement_score":0.87692845,"about_ca_system_score_codex":0.000022411683,"about_ca_system_score_gemma":0.00012660188,"threshold_uncertainty_score":0.86154157},"labels":[],"label_agreement":null},{"id":"W4200547975","doi":"10.3390/app112411614","title":"Geometry-Based Preliminary Quantification of Landslide-Induced Impulse Wave Attenuation in Mountain Lakes","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Attenuation; Geology; Landslide; Impulse (physics); Shore; Dissipation; Amplitude; Geometry; Geomorphology; Physics; Mathematics; Optics; Classical mechanics","score_opus":0.022670704173646125,"score_gpt":0.251565602451205,"score_spread":0.22889489827755888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200547975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219763,0.000035847566,0.001191376,0.00040432398,0.00007053372,0.00014306049,0.0000036398992,0.000016173977,0.005937386],"genre_scores_gemma":[0.9982563,0.000010320223,0.0014939808,0.00009204747,0.000012318674,0.000016360596,0.000019450275,0.0000049369824,0.00009427767],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99871796,0.000040957697,0.0002633361,0.00035633074,0.00040894793,0.00021243982],"domain_scores_gemma":[0.9995391,0.00010009097,0.0001168366,0.00018768842,0.0000130691515,0.00004321218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070358865,0.00009282334,0.00013664945,0.00008697606,0.00012350318,0.000031285253,0.00017072447,0.000083364095,0.00036686118],"category_scores_gemma":[0.0000455955,0.000072129085,0.000033622953,0.0011486373,0.00019903717,0.00011955249,0.00006887889,0.00009505799,0.00006182664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008766467,0.00031849038,0.16302463,0.000029675404,0.0000089324385,0.000020638625,0.0009631196,0.038326852,0.7527212,0.002687522,0.00022551119,0.04158578],"study_design_scores_gemma":[0.0011153406,0.00026179288,0.48700395,0.000060065122,0.00002733459,0.00001120806,0.0021250953,0.045009688,0.46109185,0.0021594006,0.0007184893,0.000415805],"about_ca_topic_score_codex":0.00018416157,"about_ca_topic_score_gemma":0.00021218053,"teacher_disagreement_score":0.32397932,"about_ca_system_score_codex":0.00006336919,"about_ca_system_score_gemma":0.00006172436,"threshold_uncertainty_score":0.40168723},"labels":[],"label_agreement":null},{"id":"W4200590247","doi":"10.3390/app12010211","title":"Attitudes toward Applying Facial Recognition Technology for Red-Light Running by E-Bikers: A Case Study in Fuzhou, China","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"License; China; Test (biology); Psychology; Applied psychology; Political science","score_opus":0.0683850425111635,"score_gpt":0.34631027111209667,"score_spread":0.27792522860093316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200590247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8686366,0.00021733965,0.12635267,0.0013335407,0.0003680875,0.0009035065,0.0000059969398,0.00025968466,0.0019226004],"genre_scores_gemma":[0.9088302,0.0000070886645,0.090572976,0.00010144062,0.00004367366,0.0004251331,0.000003119207,0.0000071000845,0.000009228957],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979144,0.00007845488,0.00033295967,0.0008906222,0.00031358763,0.00047003065],"domain_scores_gemma":[0.9992698,0.00017751049,0.000120737124,0.00031503852,0.0000624395,0.000054463446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020284918,0.00017548565,0.0002867425,0.0002951691,0.000518969,0.00032468053,0.00067891565,0.00010559174,0.0000057022876],"category_scores_gemma":[0.00011730078,0.00016451732,0.000047087087,0.0020666819,0.00013849218,0.0003871958,0.0002612319,0.00020187012,0.000005860498],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017899372,0.0005243031,0.054637004,0.000048928596,0.000034720382,0.0008900088,0.006136948,0.00012246755,0.021911433,0.0029037704,0.00023705614,0.9125355],"study_design_scores_gemma":[0.015164356,0.0047714068,0.041485004,0.00062644837,0.00016518105,0.0066795666,0.12600279,0.021376971,0.51303506,0.2409649,0.022454808,0.007273501],"about_ca_topic_score_codex":0.000078226236,"about_ca_topic_score_gemma":0.0002933977,"teacher_disagreement_score":0.90526193,"about_ca_system_score_codex":0.000041603907,"about_ca_system_score_gemma":0.00014281274,"threshold_uncertainty_score":0.67088217},"labels":[],"label_agreement":null},{"id":"W4205302484","doi":"10.3390/app12020910","title":"Characterizing the Mechanical Performance of a Bare-Metal Stent with an Auxetic Cell Geometry","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Auxetics; Materials science; Stent; Finite element method; Bending; Composite material; Structural engineering; Engineering","score_opus":0.006716026174398643,"score_gpt":0.177405311955248,"score_spread":0.17068928578084935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205302484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996622,0.000073406365,0.00014707653,0.000013908718,0.00009517604,0.00009512166,0.0000031351003,0.000039309936,0.0029108345],"genre_scores_gemma":[0.99958324,0.0000035056773,0.00031286702,0.000036562302,0.00002146983,0.000022427845,0.000002627648,0.000006682781,0.000010629336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992692,0.000012323333,0.00009950322,0.00013567899,0.00032173962,0.0001615938],"domain_scores_gemma":[0.99978334,0.00001650141,0.000019028523,0.00014570114,0.000005596678,0.000029814277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021618433,0.00007641373,0.000090332585,0.000053721917,0.0003012003,0.000027419466,0.00038594785,0.000010414869,0.00011792797],"category_scores_gemma":[4.2300883e-7,0.000048395483,0.000021113417,0.00036881122,0.000095878,0.00005500498,0.000081515136,0.00012878516,0.0000022431357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024930674,0.00002274231,0.00028121797,0.000030977302,0.000010846353,0.000001331728,0.00090057985,0.040979147,0.95392555,0.0016071376,0.0000056439135,0.0022098874],"study_design_scores_gemma":[0.000412837,0.00106289,0.009072468,0.000008551998,0.00004465233,0.000052605268,0.004830165,0.16269918,0.8199559,0.00018223726,0.001261228,0.0004173079],"about_ca_topic_score_codex":0.000004639623,"about_ca_topic_score_gemma":0.000002162874,"teacher_disagreement_score":0.13396966,"about_ca_system_score_codex":0.000012609503,"about_ca_system_score_gemma":0.00001677685,"threshold_uncertainty_score":0.23166196},"labels":[],"label_agreement":null},{"id":"W4205318912","doi":"10.3390/app12020573","title":"Laboratory Modeling of an Axial Flow Micro Hydraulic Turbine","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Education and Science of the Russian Federation","keywords":"Impeller; Turbine; Flow (mathematics); Specific speed; Range (aeronautics); Engineering; Mechanical engineering; Mechanics; Environmental science; Marine engineering; Physics; Aerospace engineering","score_opus":0.012616796231090405,"score_gpt":0.21690144204980444,"score_spread":0.20428464581871403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205318912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99059284,0.00012466758,0.0013933135,0.00002730355,0.0002967168,0.00010142342,0.00002863062,0.00012972005,0.0073053646],"genre_scores_gemma":[0.9926917,0.0000018196747,0.0071033593,0.00008431385,0.000050738578,0.000042910782,0.000007401936,0.000010903013,0.0000068629615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920684,0.000012841319,0.00016350445,0.00016426052,0.00029162754,0.00016090315],"domain_scores_gemma":[0.99976003,0.000023642378,0.000024547744,0.00013258957,0.000017153434,0.000042018757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037466953,0.00007365964,0.00009619786,0.0001112091,0.00018303418,0.0000222438,0.0003021325,0.000014358067,0.00012274735],"category_scores_gemma":[0.0000047792555,0.00007892719,0.000016250311,0.00058919226,0.00008063747,0.00011424769,0.00005734601,0.00009613241,0.000008391607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002148103,0.000012236823,0.000007527179,0.0000070375977,0.0000030712813,3.7605125e-7,0.0009012295,0.8978669,0.099563085,0.000781504,0.00010045494,0.0007544116],"study_design_scores_gemma":[0.00015830644,0.000039193277,0.000042254454,0.0000012775319,0.000003976505,0.0000011450112,0.0011128824,0.98334205,0.012509655,0.0018330417,0.00082367175,0.00013256645],"about_ca_topic_score_codex":0.000009012483,"about_ca_topic_score_gemma":0.0000044315634,"teacher_disagreement_score":0.087053426,"about_ca_system_score_codex":0.000042170977,"about_ca_system_score_gemma":0.00004100013,"threshold_uncertainty_score":0.32185572},"labels":[],"label_agreement":null},{"id":"W4205501877","doi":"10.3390/app12020888","title":"Multi-Objective Optimization of Hybrid Renewable Tri-Generation System Performance for Buildings","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"TRNSYS; Renewable energy; HVAC; Hybrid system; Heat pump; Photovoltaic system; Heat exchanger; Environmental science; Automotive engineering; Process engineering; Engineering; Computer science; Thermal; Air conditioning; Mechanical engineering; Meteorology; Electrical engineering","score_opus":0.015869134790608395,"score_gpt":0.2074025574413309,"score_spread":0.1915334226507225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205501877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12877467,0.00006727896,0.8646067,0.0000059488602,0.00064171996,0.0005187074,0.00002432264,0.00022381452,0.0051368494],"genre_scores_gemma":[0.9275859,0.000006681739,0.071770884,0.0000070077094,0.00004911317,0.00042424945,0.000045546207,0.00001742235,0.00009321097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908954,0.00001955791,0.00026790338,0.00021096703,0.00023501947,0.0001770149],"domain_scores_gemma":[0.9996618,0.000028672228,0.00010375045,0.000104331964,0.000079503436,0.000021921598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055448554,0.00010537842,0.00014788623,0.0001800403,0.00043717888,0.000032651096,0.00019598275,0.000022051692,0.000011763208],"category_scores_gemma":[0.000010833552,0.00010544157,0.000028614279,0.00056181976,0.00004641862,0.00017298454,0.000023615252,0.000052821466,8.642762e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068640275,0.000008486413,0.000012145904,0.000048949685,0.000008664882,7.445882e-8,0.00016508708,0.96254843,0.03568728,0.0010872995,0.0002397111,0.00018700401],"study_design_scores_gemma":[0.00022782841,0.00005506571,0.000002235878,0.0000092926675,0.000007339266,0.0000040788104,0.0007353815,0.83819634,0.16048288,0.0000028204513,0.0001769528,0.00009980345],"about_ca_topic_score_codex":0.000054741835,"about_ca_topic_score_gemma":0.0000060106427,"teacher_disagreement_score":0.7988112,"about_ca_system_score_codex":0.00020062554,"about_ca_system_score_gemma":0.00004756461,"threshold_uncertainty_score":0.42997822},"labels":[],"label_agreement":null},{"id":"W4205731395","doi":"10.3390/app12020803","title":"Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty Vehicles","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fuel efficiency; Univariate; Greenhouse gas; Convolutional neural network; Environmental science; Artificial neural network; Polynomial regression; Energy consumption; Computer science; Multivariate statistics; Regression analysis; Automotive engineering; Engineering; Machine learning","score_opus":0.015746645890354127,"score_gpt":0.22118623823418251,"score_spread":0.2054395923438284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205731395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784625,0.00038613178,0.00031287115,0.000019249299,0.000017922503,0.000050901173,0.00001937459,0.000024543113,0.001322769],"genre_scores_gemma":[0.99929863,0.00022060733,0.00044339048,0.0000032450748,0.0000046340565,0.000011487402,0.0000016794432,0.000002608167,0.000013703583],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949604,0.0000069130056,0.00014119076,0.00011356976,0.00016302975,0.000079258236],"domain_scores_gemma":[0.9998184,0.000023997025,0.000038118058,0.000072730276,0.000008264871,0.00003848771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023343139,0.000050570026,0.00011345435,0.0001426486,0.00013086069,0.0000054083816,0.00006647447,0.000019356286,0.000010293617],"category_scores_gemma":[0.0000025656366,0.000043905016,0.000015941496,0.0003932502,0.00010277529,0.000045118883,0.0000499534,0.000059588183,5.114554e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073066085,0.000017264561,0.07524493,0.00007083199,0.000035988967,7.9612306e-8,0.0009520424,0.29282,0.62718076,0.0003783925,0.00001229981,0.0032800655],"study_design_scores_gemma":[0.000106332984,0.000019293007,0.02742827,0.000005845198,0.000055231096,8.5265435e-7,0.000304514,0.9367506,0.034977004,0.0002663009,0.000030112513,0.000055671102],"about_ca_topic_score_codex":0.000017166758,"about_ca_topic_score_gemma":0.0000054432826,"teacher_disagreement_score":0.64393055,"about_ca_system_score_codex":0.000008819468,"about_ca_system_score_gemma":0.0000134348875,"threshold_uncertainty_score":0.17903946},"labels":[],"label_agreement":null},{"id":"W4205908215","doi":"10.3390/app12031026","title":"Mechanical Properties of Lamellar Shale Considering the Effect of Rock Structure and Hydration from Macroscopic and Microscopic Points of View","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Oil shale; Lamellar structure; Geology; Elastic modulus; Materials science; Compressive strength; Mineralogy; Composite material","score_opus":0.009722149742526031,"score_gpt":0.207683518776136,"score_spread":0.19796136903360997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205908215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982216,0.001343973,0.00017754923,0.000043298453,0.000029201748,0.00012559102,0.000007907288,0.000008610548,0.000042281878],"genre_scores_gemma":[0.9997839,0.000051979183,0.00013399025,0.000009993401,0.0000044869876,0.000009213203,0.0000013822647,0.0000032846433,0.0000018085458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946374,0.000040588442,0.00016362073,0.000102900456,0.00016636417,0.000062805055],"domain_scores_gemma":[0.9997938,0.00005480234,0.0000503612,0.00007925581,0.000006758623,0.000014997904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001888833,0.000059921767,0.0001764983,0.000038993923,0.00010216793,0.000013190932,0.00010019485,0.00001862827,0.000026037937],"category_scores_gemma":[0.000011324837,0.000037221642,0.000015644597,0.00018420668,0.00012461087,0.000036714384,0.000069865484,0.000058924645,1.3216301e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049008377,0.0000021548456,0.0009274132,0.000098521996,0.00002035695,8.507771e-8,0.00074644125,0.019620853,0.9782299,0.00011917721,0.0000028858929,0.00022734598],"study_design_scores_gemma":[0.0001481687,0.00006287604,0.0001881581,0.000019296862,0.000024424948,6.3602016e-7,0.00051078666,0.05140349,0.94726485,0.00032210784,0.000013747163,0.000041458396],"about_ca_topic_score_codex":0.000033223536,"about_ca_topic_score_gemma":0.000024353809,"teacher_disagreement_score":0.031782635,"about_ca_system_score_codex":0.000004611226,"about_ca_system_score_gemma":0.000009548458,"threshold_uncertainty_score":0.15178545},"labels":[],"label_agreement":null},{"id":"W4205957750","doi":"10.3390/app12020776","title":"How Does the Addition of Biostimulants Affect the Growth, Yield, and Quality Parameters of the Snap Bean (Phaseolus vulgaris L.)? How Is This Reflected in Its Nutritional Value?","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Moringa oleifera research and applications","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Moringa; Vermicompost; Phaseolus; Humic acid; Horticulture; Crop; Randomized block design; Yield (engineering); Biology; Food science; Agronomy; Nutrient","score_opus":0.07466889362501682,"score_gpt":0.28986257512477825,"score_spread":0.21519368149976142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205957750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96509063,0.00011216642,0.0000025766824,0.033443067,0.000030403975,0.00055326044,0.0003327193,0.000008586089,0.0004265719],"genre_scores_gemma":[0.99931735,0.000049897688,0.00003800759,0.00028139105,0.000028942515,0.00018687425,0.0000150057695,5.230429e-7,0.00008203356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984733,0.00023477682,0.00015233437,0.0002717236,0.00065178704,0.00021609584],"domain_scores_gemma":[0.99824566,0.0014157381,0.00015761316,0.00009582983,0.000048182344,0.00003700527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010946352,0.00008919494,0.00012783747,0.00002041737,0.0010478239,0.0000927637,0.000720207,0.000029816369,0.0001244291],"category_scores_gemma":[0.00019336105,0.00002334435,0.00006128181,0.0010821325,0.00073394954,0.00007787561,0.000225705,0.00019325841,4.903043e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007222086,0.00024474593,0.008462659,0.00002484031,0.000020046793,3.046641e-7,0.00065971026,0.0000219612,0.9539935,0.026886828,0.0022552037,0.007357979],"study_design_scores_gemma":[0.00066241244,0.0007461382,0.45401338,0.000059226444,0.00003227129,0.000008902779,0.012502796,0.0007920501,0.50165623,0.025776017,0.0033376717,0.00041288423],"about_ca_topic_score_codex":0.00046369524,"about_ca_topic_score_gemma":0.0004174631,"teacher_disagreement_score":0.45233724,"about_ca_system_score_codex":0.000016351041,"about_ca_system_score_gemma":0.000023615072,"threshold_uncertainty_score":0.8059121},"labels":[],"label_agreement":null},{"id":"W4205987915","doi":"10.3390/app12031051","title":"Semantic Segmentation Based on Depth Background Blur","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Segmentation; Pascal (unit); Artificial intelligence; Convolutional neural network; Inference; Pattern recognition (psychology); Fuzzy inference system; Focus (optics); Image segmentation; Fuzzy logic; Adaptive neuro fuzzy inference system; Fuzzy control system","score_opus":0.03967018903237247,"score_gpt":0.2926895184385241,"score_spread":0.2530193294061516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205987915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046952177,0.000023964523,0.9147667,0.0027562135,0.000310714,0.0005717466,0.0000024600508,0.00032864968,0.03428736],"genre_scores_gemma":[0.93670356,0.0000012647392,0.060275927,0.002566853,0.00003324764,0.0003122291,0.0000041392614,0.0000055207397,0.00009726283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827456,0.000049021157,0.00015848254,0.00056878297,0.0006608861,0.00028823546],"domain_scores_gemma":[0.99918836,0.00022586725,0.000104348364,0.00040625728,0.000013279617,0.00006189167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039926427,0.00011129525,0.000089697525,0.0001292998,0.0012882539,0.00013465068,0.0012627114,0.000012811197,0.00006590705],"category_scores_gemma":[0.000003907821,0.00010485151,0.000030366915,0.0016040617,0.00013451074,0.00021570791,0.0002662075,0.00014096718,0.00009928861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009021012,0.00015378011,0.00030035834,0.0000045036777,0.0000033172246,0.000004227718,0.00022156599,0.4297111,0.011956804,0.517989,0.0018945918,0.03775176],"study_design_scores_gemma":[0.0005601749,0.00035560332,0.0021422976,0.000004572422,0.0000067984056,0.000010552021,0.0005722813,0.9378505,0.010423923,0.038931914,0.008663244,0.0004781477],"about_ca_topic_score_codex":0.0000044159287,"about_ca_topic_score_gemma":0.0000055585297,"teacher_disagreement_score":0.8897514,"about_ca_system_score_codex":0.000075269076,"about_ca_system_score_gemma":0.00007775479,"threshold_uncertainty_score":0.9908338},"labels":[],"label_agreement":null},{"id":"W4206072296","doi":"10.3390/app12010343","title":"Numerical Simulation of Non-Spherical Submicron Particle Acceleration and Focusing in a Converging–Diverging Micronozzle","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle (ecology); Mechanics; Nozzle; Aerodynamics; Acceleration; Materials science; Aerospace engineering; Physics; Classical mechanics; Mechanical engineering; Engineering","score_opus":0.016735738084346502,"score_gpt":0.2556595049774137,"score_spread":0.23892376689306719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206072296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726104,0.00011929183,0.026310362,0.000032246728,0.00006783578,0.00007225762,6.8515453e-7,0.000033776192,0.000753141],"genre_scores_gemma":[0.99527544,0.00001154421,0.0046596047,0.000020910971,0.00001592285,0.000006076941,0.0000010630806,0.0000069147554,0.0000025080167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992688,0.000013808824,0.0002017393,0.00018611214,0.00012927043,0.0002002879],"domain_scores_gemma":[0.99973893,0.000099795085,0.00002358737,0.00008258241,0.000018594501,0.00003650014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020282436,0.00007497973,0.00012686502,0.00003097662,0.00006614212,0.000048914888,0.00007363975,0.00003579336,0.000016358554],"category_scores_gemma":[0.000020363414,0.00008135064,0.000013977089,0.00045310138,0.0001140745,0.00016041489,0.000037382055,0.000068887355,0.000004643573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002077849,0.000011665559,0.007806579,0.0000103694065,0.000002064581,0.0000014774456,0.0004071216,0.5070057,0.48128352,0.00034340553,0.000001840975,0.0031242305],"study_design_scores_gemma":[0.00018859317,0.0000068838726,0.009946685,0.000009006992,0.0000026945845,0.0000012996496,0.00016633417,0.7968261,0.19262183,0.00014303529,0.000011288837,0.00007620801],"about_ca_topic_score_codex":0.000013782798,"about_ca_topic_score_gemma":0.000014063744,"teacher_disagreement_score":0.2898205,"about_ca_system_score_codex":0.00004334554,"about_ca_system_score_gemma":0.000024214347,"threshold_uncertainty_score":0.3317383},"labels":[],"label_agreement":null},{"id":"W4206190098","doi":"10.3390/app12020863","title":"Hydrogenated Graphene Based Organic Thin Film Transistor Sensor for Detection of Chloride Ions as Corrosion Precursors","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Graphene; Corrosion; Oxide; Chloride; Relative humidity; Nanotechnology; Passivation; Chemical engineering; Optoelectronics; Composite material; Metallurgy; Layer (electronics)","score_opus":0.010460579680477599,"score_gpt":0.19706427685779537,"score_spread":0.18660369717731778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206190098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952876,0.00003114738,0.0030576563,0.000037491125,0.0006901279,0.00037713506,0.000036281035,0.00020258696,0.00027996712],"genre_scores_gemma":[0.9991229,0.0000036893919,0.0007114396,0.000035305584,0.000022697921,0.00004806017,0.000010282683,0.000021521764,0.00002406937],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901456,0.000024388453,0.00023724759,0.00023079426,0.0002605059,0.00023249564],"domain_scores_gemma":[0.999638,0.00009936849,0.00006340126,0.0001260696,0.000024923998,0.00004824253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034187708,0.00012620374,0.0001830114,0.00016047571,0.0004495892,0.000023320057,0.00016013416,0.0000348325,0.000095601914],"category_scores_gemma":[0.00001939455,0.000121707446,0.00006850407,0.0006060678,0.00010250959,0.00003990132,0.000013297663,0.00006636743,0.000004190649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004246044,0.00001587999,0.0000062237323,0.00001863369,0.0000039902598,4.194827e-7,0.00030560457,0.19289453,0.8065237,0.000097300945,0.000025215508,0.000066058215],"study_design_scores_gemma":[0.0002857665,0.00012127791,0.00006980536,0.000004777636,0.000019466317,0.000004463226,0.0004425985,0.1423161,0.85599995,0.00020992495,0.00039659752,0.00012925241],"about_ca_topic_score_codex":0.000040893807,"about_ca_topic_score_gemma":0.00003965129,"teacher_disagreement_score":0.05057843,"about_ca_system_score_codex":0.00004579629,"about_ca_system_score_gemma":0.0000377188,"threshold_uncertainty_score":0.49630857},"labels":[],"label_agreement":null},{"id":"W4206319684","doi":"10.3390/app12010479","title":"Context-Aware End-User Development Review","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Personalization; Context (archaeology); End-user development; Implementation; Software deployment; Context management; Adaptation (eye); Software engineering; World Wide Web; Software; Data science; End user; Human–computer interaction; Ubiquitous computing","score_opus":0.044247884687693424,"score_gpt":0.2671449785972542,"score_spread":0.2228970939095608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206319684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04686212,0.029157555,0.61790687,0.032071173,0.00689407,0.0075175576,0.000056437,0.003364119,0.25617006],"genre_scores_gemma":[0.98911923,0.000051958734,0.002870405,0.0066331616,0.00003392061,0.0006195362,0.000004263359,0.0000073777155,0.0006601306],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972112,0.0001476818,0.0003965462,0.00073021336,0.0011097157,0.00040465486],"domain_scores_gemma":[0.9989433,0.00022362288,0.0002125748,0.00044646574,0.000061570114,0.000112447175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002094448,0.00017648673,0.0002887876,0.00015013848,0.0012727346,0.00018517987,0.002071775,0.00002225959,0.0006714904],"category_scores_gemma":[0.000023944278,0.00016247525,0.000064255255,0.0013084227,0.00014972569,0.0004215988,0.0010483947,0.00019842447,0.00037676212],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004315267,0.00015674929,0.00050260255,0.00015207728,0.00003271475,0.000019589197,0.0019628084,0.000024712903,0.000724715,0.06624972,0.031202871,0.89896715],"study_design_scores_gemma":[0.00029879983,0.00006923445,0.00051433884,0.00013084745,0.000006744508,0.00008875796,0.0008599152,0.00037463862,0.0027907416,0.0007443811,0.9936257,0.000495924],"about_ca_topic_score_codex":0.00002720827,"about_ca_topic_score_gemma":0.00003629315,"teacher_disagreement_score":0.9624228,"about_ca_system_score_codex":0.00012642781,"about_ca_system_score_gemma":0.00051368,"threshold_uncertainty_score":0.9788974},"labels":[],"label_agreement":null},{"id":"W4206526380","doi":"10.3390/app12030961","title":"Effects on Cell Growth, Lipid and Biochemical Composition of Thalassiosira weissflogii (Bacillariophyceae) Cultured under Two Nitrogen Sources","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Algal biology and biofuel production","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Thalassiosira weissflogii; Food science; Polyunsaturated fatty acid; Docosahexaenoic acid; Eicosapentaenoic acid; Nitrogen; Biomass (ecology); Biology; Chemistry; Composition (language); Animal science; Biochemistry; Fatty acid; Nutrient; Agronomy; Phytoplankton; Ecology","score_opus":0.00891178721255756,"score_gpt":0.21359154949367234,"score_spread":0.20467976228111479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206526380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921296,0.00025748205,0.000020283458,0.00042876368,0.00016515802,0.00014702823,0.000004702866,0.00004403051,0.0068029216],"genre_scores_gemma":[0.9990853,0.000013161314,0.0003248875,0.00036047562,0.00013374611,0.000028671564,0.000020302277,0.000004579975,0.00002884182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896187,0.0000942481,0.00013864125,0.0003820617,0.00023753183,0.000185633],"domain_scores_gemma":[0.9996521,0.00010441557,0.00009783003,0.000085933316,0.000018960864,0.00004074524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028059052,0.0001221189,0.00014810792,0.00006575506,0.00056459766,0.000018081593,0.00019537033,0.00006722809,0.000039503844],"category_scores_gemma":[0.0000070756473,0.00009045458,0.00003683863,0.00030026608,0.00047042995,0.000039326624,0.00011741664,0.00015732377,0.00000985133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010196045,0.00008187737,0.0008051078,0.000023096227,0.0000111572235,5.80546e-7,0.00018539565,0.0002979671,0.97885984,0.018955946,0.00017897857,0.0004980857],"study_design_scores_gemma":[0.00038140654,0.00031449398,0.00063986867,0.0000036808044,0.000019355874,0.0000078320045,0.00037672126,0.00003431207,0.9833119,0.014391525,0.00038631458,0.00013258414],"about_ca_topic_score_codex":0.000054911277,"about_ca_topic_score_gemma":0.0000018786313,"teacher_disagreement_score":0.0069557047,"about_ca_system_score_codex":0.000023746625,"about_ca_system_score_gemma":0.000018896508,"threshold_uncertainty_score":0.43424857},"labels":[],"label_agreement":null},{"id":"W4206666872","doi":"10.3390/app12031106","title":"Spatio-Temporal Variation of Elemental Contamination and Health of Mya arenaria Clam in the Saguenay–St. Lawrence Marine Park","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Parks Canada","keywords":"Contamination; Estuary; Pollution; Environmental science; Environmental chemistry; Chemistry; Ecology; Biology","score_opus":0.01731897665979117,"score_gpt":0.25129340940048495,"score_spread":0.23397443274069377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206666872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922827,0.0000132149835,0.000065532055,0.0007866121,0.000055096312,0.0003625032,0.0000076254873,0.0000041276758,0.0064225863],"genre_scores_gemma":[0.99885696,0.000012671125,0.00050635246,0.0004785228,0.000005340535,0.00007952399,0.000023302895,0.0000022215988,0.000035093202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882174,0.00014546413,0.00028876256,0.00024281119,0.0003230443,0.00017816693],"domain_scores_gemma":[0.9995263,0.00009222499,0.00025608944,0.00010093239,0.0000011055789,0.00002334878],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001962479,0.000072220355,0.00013524957,0.00005123587,0.00033974674,0.0000071520817,0.00028011925,0.000027120257,0.001316997],"category_scores_gemma":[0.0000074819795,0.000059083482,0.000014318031,0.00039128528,0.00067535543,0.00009790228,0.00030057481,0.00010823445,0.0000032612659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030309819,0.0002638834,0.97662187,0.000007922244,0.0000035405785,8.467281e-7,0.0022160544,0.0015379784,0.007989336,0.0067958557,0.00025337157,0.004279014],"study_design_scores_gemma":[0.000335061,0.00048333287,0.9916176,0.0000014272944,0.000002957037,0.0000050315166,0.001971968,0.0006274454,0.0009865726,0.0034960103,0.00040661992,0.00006594444],"about_ca_topic_score_codex":0.000767115,"about_ca_topic_score_gemma":0.0033780986,"teacher_disagreement_score":0.014995743,"about_ca_system_score_codex":0.00010611325,"about_ca_system_score_gemma":0.000018383129,"threshold_uncertainty_score":0.99959594},"labels":[],"label_agreement":null},{"id":"W4206838654","doi":"10.3390/app12010439","title":"Rotation Invariant Parallel Signal Processing Using a Diffractive Phase Element for Image Compression","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Invariant (physics); Computer science; Rotation (mathematics); Artificial intelligence; Computer vision; Algorithm; Optics; Mathematics; Physics","score_opus":0.03783376967622862,"score_gpt":0.32054863266600553,"score_spread":0.2827148629897769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206838654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10108589,0.000064788306,0.8972699,0.00010796784,0.00004052039,0.00044708597,0.000009546564,0.00036235218,0.000611929],"genre_scores_gemma":[0.6974038,0.0000012051702,0.3022865,0.000034810757,0.000012026787,0.0002469994,0.000004243666,0.000008680962,0.0000017448237],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991094,0.000008080987,0.00015323519,0.00022737832,0.00024235946,0.00025955547],"domain_scores_gemma":[0.99973994,0.00008121915,0.0000575041,0.00007571113,0.000019214218,0.000026425272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021748229,0.00010246315,0.00010860909,0.00009120214,0.00063618703,0.00007468477,0.00024822212,0.000016362781,0.000021958205],"category_scores_gemma":[0.000014416209,0.00009446573,0.000019388237,0.00031559012,0.00017864468,0.00026690713,0.00011988861,0.00013422135,0.0000011446954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025724346,0.00006413195,0.0000051712377,0.000024988489,0.000005277221,0.0000024411358,0.00026724357,0.44426984,0.51136315,0.0033267324,0.000074744254,0.040570542],"study_design_scores_gemma":[0.0005330929,0.00006359956,0.000008152723,0.000008865453,0.0000085792035,0.0000035792589,0.0020891798,0.9493576,0.033537008,0.013898798,0.00034521488,0.00014633001],"about_ca_topic_score_codex":0.0000020549876,"about_ca_topic_score_gemma":3.9155938e-7,"teacher_disagreement_score":0.5963179,"about_ca_system_score_codex":0.00010849317,"about_ca_system_score_gemma":0.000029594577,"threshold_uncertainty_score":0.48931006},"labels":[],"label_agreement":null},{"id":"W4210279034","doi":"10.3390/app12031343","title":"A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Pairing; Computer science; Fuzzy logic; Selection (genetic algorithm); Stability (learning theory); Mathematical optimization; Transmitter; Set (abstract data type); Channel (broadcasting); Computer network; Mathematics; Artificial intelligence; Physics; Machine learning","score_opus":0.03935989311819743,"score_gpt":0.28089972245808137,"score_spread":0.24153982933988394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210279034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005016241,0.0004845058,0.9767894,0.00031924492,0.000048086782,0.00061516336,0.0000064566198,0.00013844992,0.016582452],"genre_scores_gemma":[0.7431905,0.0000113019905,0.25625014,0.00003116393,0.0000069861626,0.00046412818,0.0000072870853,0.000007773549,0.00003069321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994618,0.00003024325,0.00015116425,0.00013888978,0.00008574871,0.0001321427],"domain_scores_gemma":[0.9996254,0.00013516899,0.00003300628,0.00017879109,0.000008510221,0.000019154373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513754,0.0000529793,0.00008247854,0.00010796415,0.0003307645,0.00002651644,0.00018797658,0.000013327737,0.000002623566],"category_scores_gemma":[0.000011925093,0.00005878087,0.000008259995,0.00039710503,0.00004627251,0.00009176087,0.00010416263,0.000062616564,4.5619583e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018362841,0.000007696249,0.00005199024,0.000020955309,0.0000021480575,4.1862894e-8,0.0010971063,0.9558079,0.014135374,0.019875718,0.00013764967,0.008861532],"study_design_scores_gemma":[0.00019816897,0.000017402937,0.000045546964,0.0000076108413,0.0000030879278,0.000002105197,0.00415032,0.98179924,0.0016325875,0.004750888,0.007282675,0.000110358626],"about_ca_topic_score_codex":0.000019648185,"about_ca_topic_score_gemma":0.000058262078,"teacher_disagreement_score":0.73817426,"about_ca_system_score_codex":0.00007065995,"about_ca_system_score_gemma":0.000014078936,"threshold_uncertainty_score":0.25440064},"labels":[],"label_agreement":null},{"id":"W4210322737","doi":"10.3390/app12031269","title":"Comparing the Effectiveness of Speech and Physiological Features in Explaining Emotional Responses during Voice User Interface Interactions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human–computer interaction; Computer science; User interface; Interface (matter); Facial expression; Interactivity; CLARITY; User experience design; Speech recognition; Multimedia; Artificial intelligence","score_opus":0.07239905910417828,"score_gpt":0.35997929750168656,"score_spread":0.2875802383975083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210322737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901748,0.000043502085,0.00006042968,0.00010186362,0.00024325497,0.00015922372,0.0000029690596,0.000016583057,0.009197388],"genre_scores_gemma":[0.9996583,0.0000017691218,0.00009008083,0.000034599478,0.000024003288,0.00007258506,0.000002032893,0.0000026835048,0.000113953145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989093,0.00049702206,0.00011985769,0.0002190048,0.00013422155,0.0001206109],"domain_scores_gemma":[0.9990402,0.0008038372,0.00006137269,0.00006789723,0.000011367114,0.000015337098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011336443,0.00006011021,0.00010307975,0.000113490256,0.0003917133,0.00001899408,0.0001479887,0.000016673492,0.00016860949],"category_scores_gemma":[0.00004439917,0.000043224067,0.00001955571,0.0002838785,0.00024377771,0.000053208227,0.00014134891,0.00022293044,0.0000057497805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033714802,0.00063497515,0.1313952,0.00008779565,0.000082263155,0.00001403419,0.01564855,0.0066824513,0.76356155,0.073661104,0.0003258124,0.004534749],"study_design_scores_gemma":[0.0003895279,0.00006989202,0.9780376,0.000027270182,0.0000034404716,0.00004951955,0.011104929,0.00005416785,0.009200513,0.00092173985,0.00007882887,0.000062576044],"about_ca_topic_score_codex":0.000045771245,"about_ca_topic_score_gemma":0.000036605124,"teacher_disagreement_score":0.8466424,"about_ca_system_score_codex":0.000021779913,"about_ca_system_score_gemma":0.00001122244,"threshold_uncertainty_score":0.30127817},"labels":[],"label_agreement":null},{"id":"W4210460490","doi":"10.3390/app12031429","title":"The Influence of Silver Nanoparticle Form on the Toxicity in Freshwater Mussels","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Environment and Climate Change Canada","funders":"","keywords":"Chemistry; Dreissena; Toxicity; Acetylcholinesterase; Biophysics; Biochemistry; Biology; Bivalvia; Enzyme; Organic chemistry; Mollusca; Ecology","score_opus":0.01999345017528916,"score_gpt":0.24406732103679185,"score_spread":0.22407387086150268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210460490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961747,0.000019195353,0.0000032170458,0.0022022508,0.00003595384,0.000285351,0.000010893907,0.000016489581,0.0012519725],"genre_scores_gemma":[0.9990372,0.000003038056,0.00007353946,0.00045608706,0.000009368828,0.00037247853,1.4346728e-7,0.0000034984505,0.000044621993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986658,0.00007564296,0.000249673,0.00023516914,0.00047780215,0.00029590057],"domain_scores_gemma":[0.99895734,0.00058046705,0.00010390561,0.000313091,0.000016189255,0.000028994196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021038787,0.00007316348,0.00009070485,0.000030085139,0.0012077492,0.00008360752,0.00088283466,0.000011425305,0.00035404254],"category_scores_gemma":[0.000050501018,0.00003711382,0.000025441948,0.0005726356,0.00061782106,0.00008511542,0.0002096624,0.00007713083,0.00008349964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010662303,0.00006012792,0.00063716975,9.701807e-7,6.43398e-7,1.9548642e-7,0.00039763216,0.0037684988,0.931056,0.06360547,0.00018165866,0.00028095552],"study_design_scores_gemma":[0.00006998309,0.000047667985,0.00736081,0.0000031542825,0.0000020554087,6.8236557e-7,0.00091279286,0.0002812806,0.97946495,0.010057393,0.0017343784,0.000064827866],"about_ca_topic_score_codex":0.000065157226,"about_ca_topic_score_gemma":0.00023390734,"teacher_disagreement_score":0.05354808,"about_ca_system_score_codex":0.00002783985,"about_ca_system_score_gemma":0.00004910341,"threshold_uncertainty_score":0.92891526},"labels":[],"label_agreement":null},{"id":"W4210475617","doi":"10.3390/app12031602","title":"On the Modeling and Analysis of Brittle Failure in Existing R/C Structures Due to Seismic Loads","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Brittleness; Structural engineering; Benchmark (surveying); Computer science; Reliability engineering; Engineering; Geology; Materials science","score_opus":0.0175172485524501,"score_gpt":0.23186972042585552,"score_spread":0.21435247187340542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210475617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955149,0.00004507286,0.002859725,0.00014053097,0.000016382808,0.00004409619,0.0000053546173,0.000016668198,0.0013572497],"genre_scores_gemma":[0.9994693,0.000003215628,0.00025377292,0.00024012031,0.000007474785,0.000015927595,0.0000019167223,0.000003085515,0.0000051794104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993856,0.00000900141,0.000126425,0.00014191766,0.00020379313,0.00013328607],"domain_scores_gemma":[0.9997998,0.00006243298,0.000017898623,0.000096334086,0.0000047421486,0.000018779097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034664752,0.00006121596,0.00014362115,0.000345528,0.0001885517,0.000024813333,0.00020323349,0.000010806013,0.000047915135],"category_scores_gemma":[0.000007726124,0.00004554415,0.00002837812,0.0019327544,0.00004049012,0.000031666474,0.0000571516,0.00009454343,7.968819e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012088275,0.000001896732,0.0003163701,0.0000026646585,0.000028167235,4.2860123e-7,0.0006948354,0.9937817,0.0017857946,0.0018010235,0.000038590057,0.0015473155],"study_design_scores_gemma":[0.000029941084,0.000008249666,0.00049179577,0.000002423784,0.00003309803,5.7502814e-7,0.002585277,0.9948031,0.00048244986,0.001457889,0.000044063625,0.000061148945],"about_ca_topic_score_codex":0.00010383512,"about_ca_topic_score_gemma":0.00007260008,"teacher_disagreement_score":0.0039543873,"about_ca_system_score_codex":0.000018489825,"about_ca_system_score_gemma":0.000008633577,"threshold_uncertainty_score":0.18572366},"labels":[],"label_agreement":null},{"id":"W4210480529","doi":"10.3390/app12031408","title":"Members of the AP-1 Family of Transcription Factors Regulate the Expression of Gja1 in Mouse GC-1 Spermatogonial Cells","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Transcription factor; Cell biology; Chromatin immunoprecipitation; Regulation of gene expression; Protein kinase A; Kinase; Gene expression; Gene; Promoter; Genetics","score_opus":0.021822811212742748,"score_gpt":0.23324107115891096,"score_spread":0.21141825994616822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210480529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974537,0.000052810916,0.000022849095,0.000094407245,0.00019454549,0.00030253825,0.000008622334,0.0000067557316,0.0018638007],"genre_scores_gemma":[0.9997784,0.0000070291617,0.000070829345,0.000046354813,0.000010865611,0.000010159885,0.000001973175,0.0000039148467,0.00007048546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989133,0.000052729847,0.00024274134,0.00013844854,0.00054893503,0.00010386116],"domain_scores_gemma":[0.9995583,0.00006667853,0.0001503401,0.00018649989,0.000019589697,0.000018555696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044866264,0.00006623163,0.00015467776,0.00007523447,0.000121499455,0.0000032557045,0.00019975904,0.000024963118,0.000087577515],"category_scores_gemma":[0.000015635844,0.000034146007,0.00006763482,0.00041774588,0.00039157708,0.00003497815,0.000044913886,0.0001039272,3.594655e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000537394,0.0000712669,0.0053703687,0.000023143142,0.0000032325365,2.0024447e-7,0.0025536492,0.0017062223,0.9895804,0.000429939,0.00007653915,0.00013132888],"study_design_scores_gemma":[0.00043005,0.00009110656,0.036969144,0.000021594878,0.000021912447,0.0000016944683,0.0060609207,0.00033427568,0.95574284,0.00015062588,0.00013716677,0.000038694205],"about_ca_topic_score_codex":0.00020567919,"about_ca_topic_score_gemma":0.00001355893,"teacher_disagreement_score":0.033837557,"about_ca_system_score_codex":0.000019981262,"about_ca_system_score_gemma":0.00006799209,"threshold_uncertainty_score":0.14427821},"labels":[],"label_agreement":null},{"id":"W4210499207","doi":"10.3390/app12031317","title":"Intelligent Trust-Based Utility and Reusability Model: Enhanced Security Using Unmanned Aerial Vehicles on Sensor Nodes","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Taif University","keywords":"Wireless sensor network; Computer science; Computer network; Usability; Reusability; Battery (electricity); Distributed computing; Software","score_opus":0.02664690297280245,"score_gpt":0.2541524641520298,"score_spread":0.22750556117922735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210499207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9250989,0.000021285943,0.07254053,0.00004911787,0.00006887183,0.00028150223,0.000025263465,0.00013957873,0.0017749837],"genre_scores_gemma":[0.98817974,0.000004667924,0.011633581,0.00006043535,0.000022000815,0.000080299615,0.0000073136966,0.000009098542,0.0000028363868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990247,0.000027167467,0.00018558912,0.0003282379,0.00024092247,0.00019339155],"domain_scores_gemma":[0.9996214,0.00006553152,0.00003631707,0.00020769546,0.000018131293,0.000050929695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047121837,0.000115821706,0.00012261987,0.000064552245,0.00056213693,0.00005456144,0.00017456048,0.00003329567,0.000056499477],"category_scores_gemma":[0.000012066149,0.000114591734,0.00002402969,0.0003700621,0.00021305788,0.00005774383,0.000048554244,0.00011783329,0.0000019138206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026467143,0.000043125492,0.00011822333,0.0000139456415,0.0000026521452,6.7674364e-8,0.00030091513,0.9768828,0.01870754,0.0022441964,0.0000127017,0.0016473338],"study_design_scores_gemma":[0.0001274381,0.000023813336,0.00012893061,0.0000020779094,0.0000059744266,2.867287e-7,0.00043618752,0.9543694,0.041907962,0.0027821485,0.00008824579,0.00012749976],"about_ca_topic_score_codex":0.00002106913,"about_ca_topic_score_gemma":0.000006250112,"teacher_disagreement_score":0.0630809,"about_ca_system_score_codex":0.00007954028,"about_ca_system_score_gemma":0.00004527746,"threshold_uncertainty_score":0.46729153},"labels":[],"label_agreement":null},{"id":"W4210758138","doi":"10.3390/app12031363","title":"High-Q TeO2–Si Hybrid Microring Resonators","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; McMaster University; CMC Microsystems","keywords":"Materials science; Resonator; Refractive index; Optoelectronics; Wavelength; Optics; Silicon; Scattering; Silicon photonics; Photonics; Physics","score_opus":0.009344162333511135,"score_gpt":0.20194691742768647,"score_spread":0.19260275509417535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210758138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91570956,0.00032323357,0.00014541252,0.00006828482,0.00042997717,0.00008088871,0.000007392279,0.00022296619,0.08301228],"genre_scores_gemma":[0.99813527,0.00001189509,0.0015334975,0.00015096735,0.00003817417,0.000048798516,0.0000017606627,0.000008659312,0.00007095783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991342,0.000006906711,0.00011291819,0.00019249384,0.0002795482,0.00027395086],"domain_scores_gemma":[0.9997681,0.000052122105,0.000014096734,0.000105896775,0.0000037509594,0.0000560412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879341,0.00008364736,0.00009621824,0.00006445749,0.0003873048,0.0000441027,0.00038270376,0.00001060049,0.00027069164],"category_scores_gemma":[0.000004043293,0.00007766861,0.000023158873,0.0003442424,0.0001165589,0.0000646002,0.00012130885,0.00014630439,0.000059900907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016789552,0.00007234931,0.00051428325,0.00007118342,0.000050082323,0.000045124405,0.0008877041,0.15218298,0.14094405,0.67476475,0.0068174335,0.02363324],"study_design_scores_gemma":[0.000965976,0.00019721552,0.0034054497,0.0000202187,0.00004014143,0.000058648195,0.003944679,0.08707383,0.4008847,0.042807788,0.45902583,0.0015755292],"about_ca_topic_score_codex":0.000018486207,"about_ca_topic_score_gemma":0.000002897651,"teacher_disagreement_score":0.631957,"about_ca_system_score_codex":0.000046564182,"about_ca_system_score_gemma":0.000020638598,"threshold_uncertainty_score":0.31672338},"labels":[],"label_agreement":null},{"id":"W4210806723","doi":"10.3390/app12031234","title":"Editorial for the Special Issue “Aircraft Modeling and Simulation”","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Airplane; Aeronautics; Aerospace engineering; Systems engineering; Aerospace; Computer science; Engineering","score_opus":0.012190668349488948,"score_gpt":0.24058932338911304,"score_spread":0.2283986550396241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210806723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1988814,0.00065817154,0.59184754,0.006181989,0.18013456,0.002147951,0.00005168652,0.0013919785,0.01870469],"genre_scores_gemma":[0.9653437,0.0000053721797,0.0005265802,0.000042697342,0.03396657,0.000071655915,8.609733e-7,0.0000039827323,0.000038544495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962413,0.0000019912284,0.000058716443,0.00008798671,0.00013052986,0.00009662876],"domain_scores_gemma":[0.9998298,0.00009514667,0.00000978935,0.000049083676,0.0000068383624,0.000009295174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018653425,0.000037751182,0.000041498974,0.000024914252,0.00054438587,0.000026991333,0.00013108418,0.000019479978,0.000054417564],"category_scores_gemma":[0.000009296878,0.000029555475,0.000009498329,0.0001344516,0.000056830264,0.000037438534,0.000040601073,0.00006507976,0.0000033967005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016739407,0.0000012751416,0.0000075996636,0.0000011330782,0.000001731808,1.1196486e-8,0.0001678836,0.96734095,0.0002226377,0.0035133036,0.02574172,0.0030000764],"study_design_scores_gemma":[0.00007748704,0.000011832186,0.000002288562,1.7235304e-7,0.0000024527612,1.0183056e-7,0.0006650207,0.7629027,0.00009685326,0.0034027344,0.23279987,0.000038498063],"about_ca_topic_score_codex":0.0000022130916,"about_ca_topic_score_gemma":0.000003592888,"teacher_disagreement_score":0.7664623,"about_ca_system_score_codex":0.000010909648,"about_ca_system_score_gemma":0.000008919372,"threshold_uncertainty_score":0.4187031},"labels":[],"label_agreement":null},{"id":"W4211057875","doi":"10.3390/app12031750","title":"Atrial Fibrillation and Anterior Cerebral Artery Absence Reduce Cerebral Perfusion: A De Novo Hemodynamic Model","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Cardiology; Atrial fibrillation; Internal medicine; Medicine; Hemodynamics; Cerebral perfusion pressure; Cerebral blood flow; Perfusion; Circle of Willis; Anesthesia","score_opus":0.017837895120981242,"score_gpt":0.2804744616509338,"score_spread":0.2626365665299526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211057875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630076,0.00064431905,0.0006574404,0.00046286537,0.000099953446,0.00038302652,0.0000061535907,0.000027529384,0.0014179322],"genre_scores_gemma":[0.9982685,0.000037661972,0.0012904904,0.00017747941,0.00015251551,0.000015716256,0.000008274436,0.0000051671864,0.000044188517],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998836,0.00003896352,0.0001780834,0.00032473015,0.00037058548,0.00025167936],"domain_scores_gemma":[0.99966866,0.000022054575,0.000046147532,0.00012614367,0.000010264623,0.00012674765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063582015,0.00007831998,0.00016753486,0.0001235683,0.00032242117,0.00002600057,0.00006407338,0.000026894812,0.00005588096],"category_scores_gemma":[0.000018781802,0.00007541606,0.000108375214,0.00024186342,0.00010774313,0.00009342255,0.00009240892,0.000102533246,0.0000027683473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074392566,0.00028251248,0.292738,0.0008193554,0.00010563869,0.0002181308,0.008810153,0.21649311,0.15468457,0.010533119,0.00026485277,0.30761132],"study_design_scores_gemma":[0.0045147925,0.000164342,0.22039214,0.00006059701,0.00007526978,0.000720932,0.0014108896,0.7680119,0.00014837338,0.0041021085,0.00013202851,0.00026660488],"about_ca_topic_score_codex":0.00004534277,"about_ca_topic_score_gemma":0.000018917357,"teacher_disagreement_score":0.5515188,"about_ca_system_score_codex":0.0000984514,"about_ca_system_score_gemma":0.00038134196,"threshold_uncertainty_score":0.30753776},"labels":[],"label_agreement":null},{"id":"W4211097969","doi":"10.3390/app12041809","title":"The Analysis of the Aftershock Sequences of the Recent Mainshocks in Alaska","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Schulich School of Medicine and Dentistry; Natural Sciences and Engineering Research Council of Canada","keywords":"Aftershock; Markov chain Monte Carlo; Bayesian probability; Seismology; Induced seismicity; Geology; Sequence (biology); Posterior probability; Markov chain; Statistics; Mathematics","score_opus":0.018675936681195708,"score_gpt":0.2165791984762064,"score_spread":0.1979032617950107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211097969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980523,0.0011421898,8.00143e-7,0.001703457,0.00023302429,0.00016169234,0.000028710601,0.000004412668,0.016202718],"genre_scores_gemma":[0.99948233,0.0001489989,0.000021227208,0.00023293211,0.000007813894,0.0000071682184,9.147181e-7,7.2306494e-7,0.00009787304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984721,0.0001525533,0.00025661837,0.00020134123,0.0006847019,0.00023267165],"domain_scores_gemma":[0.99901927,0.00048414205,0.00018817506,0.00027363203,0.00001721627,0.000017589207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012815697,0.000077261044,0.00016582364,0.00008235119,0.0010648938,0.000023754026,0.0011086316,0.000014401822,0.00060519297],"category_scores_gemma":[0.000039741873,0.000032236396,0.000107228865,0.0033221946,0.0010424998,0.000033174354,0.00013290952,0.00013856943,0.0000021231133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013321552,0.000012299859,0.948373,0.0000022909664,0.00006582448,3.0595868e-7,0.0015023401,0.03268051,0.00011675873,0.0008392828,0.00015033387,0.016243724],"study_design_scores_gemma":[0.00006372705,0.000032426247,0.98687947,0.0000029000992,0.00005270852,6.142643e-7,0.006597361,0.0008679894,0.00072638533,0.0011821771,0.0035357736,0.000058463844],"about_ca_topic_score_codex":0.0010499775,"about_ca_topic_score_gemma":0.018979652,"teacher_disagreement_score":0.03850647,"about_ca_system_score_codex":0.0000064905516,"about_ca_system_score_gemma":0.00012457355,"threshold_uncertainty_score":0.9989214},"labels":[],"label_agreement":null},{"id":"W4212934479","doi":"10.3390/app12042175","title":"CTIMS: Automated Defect Detection Framework Using Computed Tomography","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Toolbox; Computer science; Artificial intelligence; Computer vision; Subtraction; Computed tomography; Automated X-ray inspection; Image processing; Image (mathematics)","score_opus":0.012065102550750245,"score_gpt":0.24057181786075005,"score_spread":0.2285067153099998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212934479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69266427,0.00032866234,0.30081594,0.000009683901,0.0006757143,0.00015533714,0.0000027583678,0.0022079677,0.003139668],"genre_scores_gemma":[0.9793696,0.000001685533,0.020461597,0.00007542279,0.00004559044,0.00003010191,0.0000013026024,0.000013291085,0.0000014573897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991108,0.000018649574,0.00012743022,0.00021361288,0.0002518808,0.0002776261],"domain_scores_gemma":[0.99973315,0.00007317451,0.000031686937,0.0001126512,0.000008410744,0.00004095215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228599,0.00011069949,0.00010530777,0.0001869341,0.00085417496,0.000056865912,0.00022103387,0.00002616519,0.000049884293],"category_scores_gemma":[0.0000055747605,0.00011699384,0.000050697217,0.0016234799,0.000112010195,0.00012544736,0.000066364344,0.0002287706,0.0000077569075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029607427,0.00000964289,0.00022494645,0.000008443894,0.00001295939,0.0000017698558,0.00027040677,0.94944674,0.042872995,0.00088893616,0.000025567333,0.006234618],"study_design_scores_gemma":[0.00010218353,0.000029621044,0.0005038858,0.000008925165,0.000012532245,0.000015556221,0.0008920191,0.9767578,0.016665557,0.0039691078,0.00080503157,0.00023778496],"about_ca_topic_score_codex":0.000007036737,"about_ca_topic_score_gemma":0.0000016266285,"teacher_disagreement_score":0.2867053,"about_ca_system_score_codex":0.000055435303,"about_ca_system_score_gemma":0.000012974366,"threshold_uncertainty_score":0.6569709},"labels":[],"label_agreement":null},{"id":"W4212944139","doi":"10.3390/app12052324","title":"A Comparative Study of Machine Learning Methods for Computational Modeling of the Selective Laser Melting Additive Manufacturing Process","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selective laser melting; Particle swarm optimization; Sensitivity (control systems); Artificial neural network; Surrogate model; Computer science; Algorithm; Mathematical optimization; Process (computing); Artificial intelligence; Machine learning; Mathematics; Laser; Engineering; Electronic engineering","score_opus":0.036347985696437636,"score_gpt":0.3228249650676879,"score_spread":0.2864769793712502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212944139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9454237,0.000036371635,0.052590698,0.000004708695,0.00008499041,0.00057517446,0.000063305,0.000045647772,0.0011753778],"genre_scores_gemma":[0.99421173,6.6233827e-7,0.005483754,0.0000063859193,0.000018875706,0.0002550257,0.000008307711,0.000010889534,0.000004388746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990099,0.0001003888,0.000258317,0.00020794208,0.00026137376,0.00016209278],"domain_scores_gemma":[0.9991933,0.00051185075,0.00016003853,0.00005307263,0.000065348446,0.000016371223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006724399,0.00012384879,0.00026212315,0.000078073535,0.0006346774,0.000019798252,0.00028678516,0.000013681199,0.000037816713],"category_scores_gemma":[0.000027115044,0.00009388335,0.000034482648,0.00026034602,0.000091422706,0.00007119725,0.00011260871,0.00015300579,1.5177967e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026082535,0.00004339643,0.000034801367,0.000056368637,0.00004412871,4.7453085e-8,0.008511451,0.9890337,0.0013494123,0.000104147606,0.0000044041853,0.0007920871],"study_design_scores_gemma":[0.00026659892,0.00014187419,0.00014178453,0.000009419343,0.000019842922,0.000001063856,0.015620889,0.6308719,0.34923476,0.0035626167,0.000022238271,0.00010704704],"about_ca_topic_score_codex":0.000019884037,"about_ca_topic_score_gemma":0.00000820871,"teacher_disagreement_score":0.3581618,"about_ca_system_score_codex":0.000027279197,"about_ca_system_score_gemma":0.00003902255,"threshold_uncertainty_score":0.48814896},"labels":[],"label_agreement":null},{"id":"W4213039713","doi":"10.3390/app12041942","title":"Effects of Synaptic Pruning on Phase Synchronization in Chimera States of Neural Network","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Wuhan Polytechnic University; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Artificial neural network; Synchronization (alternating current); Computer science; Neuroscience; Artificial intelligence; Topology (electrical circuits); Mathematics; Psychology; Combinatorics","score_opus":0.01385137315087944,"score_gpt":0.25247687950026815,"score_spread":0.2386255063493887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213039713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862653,0.000023887527,0.00017951793,0.00007410285,0.00024410717,0.00028168163,0.0000029340592,0.000016398584,0.0005508154],"genre_scores_gemma":[0.9996367,0.000007604083,0.000051273975,0.00024100082,0.000015430738,0.00003070031,0.0000020729076,0.0000049413925,0.000010281517],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989019,0.00009297234,0.00019257651,0.00027084447,0.000351499,0.00019019323],"domain_scores_gemma":[0.9992136,0.00052119506,0.0001585823,0.00007934182,0.0000067497613,0.0000205684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032821,0.00007373524,0.00012817541,0.0001235641,0.00023920392,0.000014564017,0.00022749319,0.000011874521,0.000018428034],"category_scores_gemma":[0.00007199398,0.00006437464,0.000020535395,0.0011462764,0.00019824223,0.00007155658,0.000085230815,0.0001071266,9.317074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006012852,0.00016392676,0.00027683604,0.0000283892,0.0000012832827,0.0000037449574,0.00019325363,0.42463115,0.5549391,0.014798583,0.000019697532,0.004883925],"study_design_scores_gemma":[0.0009997468,0.0016253496,0.0014017341,0.00002899771,0.0000084582425,0.0000043585674,0.00016187405,0.76164746,0.22965778,0.0042609265,0.00004119014,0.00016213438],"about_ca_topic_score_codex":0.000013525664,"about_ca_topic_score_gemma":0.0000026481937,"teacher_disagreement_score":0.3370163,"about_ca_system_score_codex":0.000023772649,"about_ca_system_score_gemma":0.000028715061,"threshold_uncertainty_score":0.26251218},"labels":[],"label_agreement":null},{"id":"W4213067658","doi":"10.3390/app12041861","title":"Intelligent Reasoning Rules for Home Energy Management (IRRHEM): Algeria Case Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Ontology; Electricity; Computer science; OWL-S; Context (archaeology); Natural resource; Web Ontology Language; Environmental economics; Semantic Web; World Wide Web; Engineering; Geography; Ecology; Social Semantic Web","score_opus":0.028329723443812748,"score_gpt":0.26836628567174725,"score_spread":0.2400365622279345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213067658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54261357,0.00016404365,0.44117182,0.00019098884,0.006358773,0.0007286189,7.134543e-7,0.00028691615,0.008484568],"genre_scores_gemma":[0.94359946,0.0000024590834,0.055302687,0.00024219978,0.00030607684,0.00034294036,0.0000016568413,0.000008565858,0.0001939283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791163,0.000056000365,0.0002727855,0.0007389983,0.0005202054,0.00050037197],"domain_scores_gemma":[0.99924594,0.00014180107,0.00011912012,0.00038709503,0.000024204386,0.00008184084],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015236737,0.00016218676,0.00017166112,0.00022337424,0.0021936018,0.00038007,0.0015512329,0.000014821728,0.000007896234],"category_scores_gemma":[0.00000521761,0.00015084381,0.000058665435,0.0008554612,0.0000886878,0.00016294737,0.0016394837,0.00008684438,0.000008452494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001928546,0.00055992656,0.0005828488,0.000025008414,0.00008013689,0.0009501882,0.011118583,0.0022323313,0.00021890171,0.46424437,0.006277808,0.5136906],"study_design_scores_gemma":[0.0029602745,0.0030675058,0.0009802569,0.00004408188,0.00011838476,0.0025427619,0.07436055,0.60588855,0.0035196652,0.10826678,0.1951775,0.0030737014],"about_ca_topic_score_codex":0.0001403308,"about_ca_topic_score_gemma":0.000008072308,"teacher_disagreement_score":0.60365623,"about_ca_system_score_codex":0.0000749173,"about_ca_system_score_gemma":0.000061272585,"threshold_uncertainty_score":0.9991054},"labels":[],"label_agreement":null},{"id":"W4213217064","doi":"10.3390/app12042045","title":"Utilising Acknowledge for the Trust in Wireless Sensor Networks","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Scalability; Routing protocol; Routing (electronic design automation); Internet of Things; Protocol (science); Transmission (telecommunications); Distributed computing; Computer security; Telecommunications","score_opus":0.02804770673665038,"score_gpt":0.2607790474984205,"score_spread":0.23273134076177013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213217064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34299538,0.0013869985,0.63239676,0.0043761353,0.004773405,0.0022386042,0.000009726183,0.0004467116,0.011376279],"genre_scores_gemma":[0.99316597,0.000018996077,0.005444086,0.00079673756,0.000208511,0.00029696288,0.0000016963234,0.000010505697,0.000056561992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778897,0.000096561795,0.00029012744,0.0006517235,0.0005089634,0.00066364923],"domain_scores_gemma":[0.997917,0.0013277266,0.00012281713,0.00053861144,0.000034901448,0.000058925038],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019369664,0.000167723,0.00019967339,0.00013804562,0.0017350821,0.0003334658,0.0028927096,0.000048967024,0.000026195139],"category_scores_gemma":[0.000027678645,0.00013124282,0.00007112988,0.0019396454,0.0003883271,0.00019581364,0.00078970555,0.00037554352,0.000007762544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030248682,0.00013175474,0.001112776,0.00001042207,0.000015213779,0.00000895018,0.0055355076,0.41382223,0.00058773346,0.48471177,0.0023749545,0.09165844],"study_design_scores_gemma":[0.00029661434,0.00004715046,0.00047707785,0.000004404343,0.000003910978,0.0000111332065,0.0015535245,0.9894499,0.00029501348,0.0028155174,0.0048358473,0.00020990755],"about_ca_topic_score_codex":0.000031170945,"about_ca_topic_score_gemma":0.000061128965,"teacher_disagreement_score":0.65017056,"about_ca_system_score_codex":0.000089988775,"about_ca_system_score_gemma":0.000101860736,"threshold_uncertainty_score":0.9995645},"labels":[],"label_agreement":null},{"id":"W4213341924","doi":"10.3390/app12052268","title":"The Clinical Role of SRSF1 Expression in Cancer: A Review of the Current Literature","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"RNA splicing; Alternative splicing; Biology; Cancer research; Carcinogenesis; Splicing factor; Cancer; Bioinformatics; Medicine; Computational biology; Genetics; Gene; RNA; Messenger RNA","score_opus":0.06805344127324787,"score_gpt":0.42636574213682893,"score_spread":0.35831230086358107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213341924","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000043394506,0.9981616,0.0000011975206,0.000043624204,0.00021533875,0.0004677155,0.00003765702,8.3426414e-7,0.0010286077],"genre_scores_gemma":[0.00017905298,0.9992025,0.000019227253,0.00003965494,0.0000739693,0.00041914987,0.000017974053,0.0000048589504,0.000043596825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866855,0.00018554434,0.0005224879,0.00028868805,0.00022468988,0.0001100588],"domain_scores_gemma":[0.9989296,0.00006143409,0.0005144303,0.0004511454,0.000025812746,0.00001754922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010800442,0.00010908323,0.00037617775,0.00001943099,0.00013632284,0.000011606881,0.0009271181,0.000065458815,0.000017791375],"category_scores_gemma":[0.000060777846,0.000049416947,0.00023963505,0.00049485866,0.00032379635,0.000001297124,0.00025143317,0.00023644746,3.2375937e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001537793,0.000023303484,0.000009191357,0.0029728103,0.000005452061,1.38482665e-8,0.000009365463,8.951392e-7,0.00014947278,0.00023371975,0.0010597204,0.99553454],"study_design_scores_gemma":[0.000027009291,0.000018047984,0.0000091652655,0.011025433,0.000030876945,4.435305e-7,0.000014795665,4.8878223e-7,0.00015367704,0.000057407575,0.98860383,0.000058848957],"about_ca_topic_score_codex":0.0000032544408,"about_ca_topic_score_gemma":0.0000071307304,"teacher_disagreement_score":0.99547565,"about_ca_system_score_codex":0.000010868066,"about_ca_system_score_gemma":0.0005862599,"threshold_uncertainty_score":0.20151646},"labels":[],"label_agreement":null},{"id":"W4213373648","doi":"10.3390/app12042186","title":"Single and Multiple Continuous-Wave Interference Suppression Using Adaptive IIR Notch Filters Based on Direct-Form Structure in a QPSK Communication System","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Band-stop filter; Infinite impulse response; Raised-cosine filter; Control theory (sociology); Root-raised-cosine filter; Computer science; Interference (communication); Adaptive filter; Filter design; Filter (signal processing); Jamming; Bit error rate; Mathematics; Electronic engineering; Algorithm; Low-pass filter; Digital filter; Telecommunications; Bandwidth (computing); Physics; Engineering","score_opus":0.0344043072102461,"score_gpt":0.22169010018459231,"score_spread":0.18728579297434622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213373648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996472,0.00014146657,0.0007201368,0.00004931496,0.00008921319,0.000344834,0.000051332343,0.0001404716,0.0019912326],"genre_scores_gemma":[0.99377424,0.000004262815,0.006061135,0.000030946056,0.000006102262,0.00008591286,0.00001932487,0.00001506168,0.0000029986581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897176,0.000097326556,0.00022669943,0.00024291534,0.00024220464,0.00021906866],"domain_scores_gemma":[0.99897116,0.0004312581,0.0000780087,0.00045850917,0.000018700985,0.000042329728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030687975,0.00014596617,0.00018675835,0.00019625651,0.0005366932,0.000075683245,0.00052279397,0.00004219906,0.000021875261],"category_scores_gemma":[0.00002289354,0.00014151132,0.000019303161,0.00051016186,0.00019817773,0.00012723263,0.0002815837,0.0002989258,8.7287975e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028607166,0.00003424927,0.00044603748,0.000024833726,0.000004694528,8.5605495e-7,0.0026088967,0.87532496,0.11952641,0.0006534991,0.00003679957,0.0013101596],"study_design_scores_gemma":[0.00031372398,0.000057304824,0.00057077897,0.0001065198,0.0000047308026,0.0000032343848,0.0068583474,0.97568196,0.016157987,0.000017773498,0.00006399748,0.00016366753],"about_ca_topic_score_codex":0.00016407663,"about_ca_topic_score_gemma":0.00021407273,"teacher_disagreement_score":0.103368424,"about_ca_system_score_codex":0.00026936227,"about_ca_system_score_gemma":0.000030025845,"threshold_uncertainty_score":0.5770664},"labels":[],"label_agreement":null},{"id":"W4213378135","doi":"10.3390/app12042165","title":"Optimum Design of Cylindrical Walls Using Ensemble Learning Methods","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Gradient boosting; Harmony search; Boosting (machine learning); Computer science; Categorical variable; Random forest; Ensemble learning; Mathematical optimization; Artificial intelligence; Mathematics; Machine learning","score_opus":0.0933460110605892,"score_gpt":0.37604700523983425,"score_spread":0.28270099417924505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213378135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5045783,0.00020501476,0.49083877,0.000015035992,0.00047167036,0.0002618714,6.992005e-7,0.00049038394,0.0031382823],"genre_scores_gemma":[0.5679286,0.000004966378,0.43200386,0.0000064693822,0.000023184137,0.000020309557,1.6527761e-7,0.0000075829907,0.0000048472807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989467,0.000104355146,0.00020656407,0.00017709973,0.00029293593,0.0002723378],"domain_scores_gemma":[0.9994989,0.00028480258,0.000052774474,0.00010583828,0.000012330505,0.000045358796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013054983,0.000091903305,0.00015932103,0.00012717975,0.00037644352,0.000016623766,0.00033270725,0.00003183635,0.000038951715],"category_scores_gemma":[0.000024958843,0.00008924784,0.000023296026,0.00057979434,0.0001009833,0.000052635718,0.00012254155,0.0002549729,0.0000010797868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044434028,0.0000034057064,0.000082122046,0.000017272829,0.0000037663365,7.549966e-7,0.0003615269,0.79219097,0.1707599,0.0011097442,0.00003348341,0.035432618],"study_design_scores_gemma":[0.000093716444,0.00014628413,0.00040395386,0.000009195392,0.000009083107,0.000015818297,0.00063243345,0.7360945,0.25651336,0.0052880202,0.00056795496,0.00022570445],"about_ca_topic_score_codex":0.00001923447,"about_ca_topic_score_gemma":6.575324e-8,"teacher_disagreement_score":0.08575348,"about_ca_system_score_codex":0.000103998726,"about_ca_system_score_gemma":0.000045477373,"threshold_uncertainty_score":0.36394215},"labels":[],"label_agreement":null},{"id":"W4214514568","doi":"10.3390/app12052541","title":"Characterization of a Continuous Muon Source for the Non-Destructive and Depth-Selective Elemental Composition Analysis by Muon Induced X- and Gamma-rays","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Perimeter Institute","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Muon; Characterization (materials science); Physics; Sample (material); Nuclear physics; Optics","score_opus":0.008555906638314525,"score_gpt":0.2276405898865889,"score_spread":0.21908468324827438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214514568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945318,0.000006217986,0.0048091607,0.000027475679,0.000020159208,0.00030089688,0.000037918628,0.000003883354,0.0002624871],"genre_scores_gemma":[0.9997131,7.954619e-7,0.00009944147,0.00001787981,0.000017132485,0.00009766877,0.000041403266,0.0000026393418,0.000009937922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994696,0.000014586616,0.000111034686,0.00016321782,0.0001230158,0.00011857953],"domain_scores_gemma":[0.9997497,0.00005906799,0.000115019866,0.000039486837,0.00001716656,0.00001951147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020919357,0.00006418923,0.00010845519,0.00005238293,0.0004484665,0.00003627465,0.00007665015,0.000007717901,0.00002049023],"category_scores_gemma":[5.4041914e-7,0.000051142408,0.00002025978,0.00038409553,0.00010589161,0.000083139916,0.00004354597,0.000045895307,2.7089035e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038751095,0.000022737413,0.10886009,0.0000023498515,0.00008783513,1.1612205e-8,0.00227982,0.00004028042,0.8793893,0.00037238485,0.0000058028018,0.008900667],"study_design_scores_gemma":[0.0007081647,0.00019722503,0.2998888,0.0000023553896,0.00016020732,4.782024e-7,0.0053578275,0.020630552,0.6724656,0.0003140622,0.00009938425,0.00017531676],"about_ca_topic_score_codex":0.00005548546,"about_ca_topic_score_gemma":0.0000059101717,"teacher_disagreement_score":0.20692362,"about_ca_system_score_codex":0.000010546072,"about_ca_system_score_gemma":0.000017264369,"threshold_uncertainty_score":0.3449287},"labels":[],"label_agreement":null},{"id":"W4214523152","doi":"10.3390/app12052512","title":"The Influence of Sentiments of Economic Agents on Pedestrians and Vehicle Crossings along the US–Mexico Border","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Proxy (statistics); Personal mobility; Quarter (Canadian coin); Immigration; Geography; Demographic economics; Transport engineering; Computer science; Economics; Engineering; Telecommunications","score_opus":0.024151364224915706,"score_gpt":0.321650179360069,"score_spread":0.2974988151351533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214523152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824935,0.000016726523,0.0000010319088,0.00035859607,0.00006117351,0.0001633221,0.0000032934408,0.000005100594,0.0011414287],"genre_scores_gemma":[0.99965453,0.0000077816285,0.000006444321,0.0001792924,0.000007997008,0.000018972536,9.673381e-7,0.000002582387,0.0001214135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993456,0.000015941232,0.00013883159,0.00012618388,0.0002759957,0.00009743239],"domain_scores_gemma":[0.9996554,0.00007584736,0.000114791415,0.00012519065,0.000010889566,0.000017845201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053799053,0.00004464891,0.000072340794,0.000027990633,0.0006280859,0.000031462278,0.00015250698,0.000011664096,0.000036446265],"category_scores_gemma":[0.000008798272,0.000026185575,0.000017275257,0.00013436766,0.00055506284,0.000034685076,0.000061178755,0.000069816975,7.355117e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049013186,0.000049268434,0.97736007,0.0000065543686,0.000009769133,4.93197e-7,0.0012210936,0.0023978956,0.014249955,0.0014252164,0.00014952756,0.0030811164],"study_design_scores_gemma":[0.00033846675,0.00010780653,0.9864059,0.0000073870383,0.000021067824,0.0000026106798,0.0013188677,0.00020869076,0.010957181,0.00014866215,0.0004514012,0.000031959506],"about_ca_topic_score_codex":0.00023917256,"about_ca_topic_score_gemma":0.00001237179,"teacher_disagreement_score":0.009045802,"about_ca_system_score_codex":0.000023244791,"about_ca_system_score_gemma":0.00007862744,"threshold_uncertainty_score":0.48307925},"labels":[],"label_agreement":null},{"id":"W4214524248","doi":"10.3390/app12052414","title":"Sleep-Disordered Breathing Risk with Comorbid Insomnia Is Associated with Mild Cognitive Impairment","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sleep and related disorders","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Leonard M. Miller School of Medicine; Genentech; National Institutes of Health; IXICO; McKnight Foundation; H. Lundbeck A/S; Servier; Eisai; Pfizer; Biogen; University of Miami; BioClinica; Northern California Institute for Research and Education; Evelyn F. McKnight Brain Research Foundation; F. Hoffmann-La Roche; Bristol-Myers Squibb; U.S. Department of Defense; Eli Lilly and Company; University of Southern California; Novartis Pharmaceuticals Corporation; Brain Research Foundation; Alzheimer's Association; Foundation for the National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Insomnia; Medicine; Odds ratio; Logistic regression; Comorbidity; Risk factor; Psychiatry; Physical therapy; Internal medicine","score_opus":0.014616366393154459,"score_gpt":0.26139114138724356,"score_spread":0.24677477499408912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214524248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91673905,0.00035473387,0.00018356892,0.00037777194,0.00019447596,0.0006667334,0.00007318255,0.00015172835,0.08125876],"genre_scores_gemma":[0.9978452,0.000012967996,0.00012720795,0.0012284886,0.000015987951,0.00033337093,0.000029777204,0.00002570404,0.00038131129],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9976274,0.00017402656,0.0002198581,0.00069622375,0.0007013956,0.0005811178],"domain_scores_gemma":[0.99911386,0.00026049942,0.00027499668,0.00020510849,0.00004413567,0.00010141097],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067988335,0.00024161173,0.0002510004,0.00019286269,0.0017044921,0.00006712262,0.0004156396,0.000081513026,0.0019408397],"category_scores_gemma":[0.0000113359465,0.00017252898,0.00004867678,0.001434792,0.00069699314,0.00007735121,0.00011606403,0.0005270354,0.00009002297],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006474058,0.01240758,0.5294029,0.000029209372,0.010596201,0.0005744332,0.33027762,0.009951952,0.00025191225,0.017303502,0.027740547,0.054990053],"study_design_scores_gemma":[0.057030853,0.01413863,0.22329718,0.00019793859,0.0027346779,0.00033276502,0.68200725,0.003733849,0.000683692,0.0063191685,0.0053059156,0.0042180973],"about_ca_topic_score_codex":0.00065159047,"about_ca_topic_score_gemma":0.0001374365,"teacher_disagreement_score":0.3517296,"about_ca_system_score_codex":0.000065103595,"about_ca_system_score_gemma":0.00008404521,"threshold_uncertainty_score":0.99959517},"labels":[],"label_agreement":null},{"id":"W4214540748","doi":"10.3390/app12052398","title":"A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Cochlear implant; Speech recognition; Band-pass filter; Computer science; Identification (biology); Speech processing; Signal processing; Engineering; Audiology; Medicine; Electronic engineering; Digital signal processing; Biology; Computer hardware","score_opus":0.037553390369474894,"score_gpt":0.2847590160234362,"score_spread":0.2472056256539613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214540748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062634334,0.00030905768,0.93205714,0.0004088585,0.00031346214,0.0005347952,0.000005880098,0.00051785714,0.0032186348],"genre_scores_gemma":[0.952281,0.0000025499562,0.047066323,0.00038143244,0.000038439826,0.00017081447,0.000003612502,0.0000062354234,0.00004957156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977395,0.00005245978,0.00033180247,0.0007240837,0.00074692036,0.0004052529],"domain_scores_gemma":[0.9992524,0.000080268444,0.00026872204,0.00028539583,0.000058972986,0.000054232576],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014940338,0.00014660493,0.00017420473,0.000112071655,0.0018097674,0.00072524755,0.0015929686,0.00004864704,0.000006676745],"category_scores_gemma":[0.000030887244,0.00012188835,0.00003182455,0.0017088704,0.00021280424,0.00060749985,0.0005025215,0.00023235157,0.000019858122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008253104,0.0001462211,0.0000824183,0.000040069543,0.000003855674,0.00002258653,0.0013732112,0.02057423,0.9502135,0.014932005,0.00023961399,0.012364037],"study_design_scores_gemma":[0.0013283979,0.00064519333,0.0017305672,0.0001374047,0.00003358105,0.0026729393,0.0064475606,0.3101207,0.6318304,0.028872056,0.014193006,0.001988197],"about_ca_topic_score_codex":0.000021753183,"about_ca_topic_score_gemma":6.069094e-7,"teacher_disagreement_score":0.8896467,"about_ca_system_score_codex":0.00006670885,"about_ca_system_score_gemma":0.00018407122,"threshold_uncertainty_score":0.9994897},"labels":[],"label_agreement":null},{"id":"W4214690177","doi":"10.3390/app12052469","title":"Rapid Maxillary Expansion in Pediatric Patients with Sleep-Disordered Breathing: Cephalometric Variations in Upper Airway’s Dimension","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Cephalometry; Sagittal plane; Dentistry; Mouth breathing; Malocclusion; Airway; Orthodontics; Breathing; Cephalometric analysis; Skull; Anesthesia; Surgery; Anatomy","score_opus":0.014278176640584188,"score_gpt":0.2514964955200251,"score_spread":0.23721831887944092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214690177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945018,0.00027897087,0.00007580888,0.00038816428,0.00011757543,0.000993564,0.000007056238,0.000035822228,0.0036012323],"genre_scores_gemma":[0.997959,0.000025298312,0.0016130445,0.00011683877,0.00002639557,0.00018237602,0.00003653283,0.00001780488,0.000022717948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969705,0.00011279691,0.00031778772,0.0006172051,0.0014849592,0.00049680116],"domain_scores_gemma":[0.9992669,0.00019272533,0.00009927302,0.0002592939,0.000069641595,0.00011213775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009243161,0.00016364435,0.0002575481,0.0022525785,0.00042252717,0.00003188418,0.00027340237,0.000050142655,0.0003601777],"category_scores_gemma":[0.00011022176,0.00013260612,0.000033671156,0.007807834,0.00015816113,0.00018412586,0.0002966685,0.0004214778,0.000020094243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020300408,0.0008062042,0.97155595,0.000024780322,0.0000072310263,0.000029652796,0.0011634734,0.0006170254,0.000781871,0.0005717181,0.000026663747,0.024212448],"study_design_scores_gemma":[0.0034889616,0.0006580364,0.9915091,0.000006052336,0.00001986126,0.000008309849,0.0014392234,0.0022058361,0.00017579923,0.000216086,0.00008054378,0.00019218812],"about_ca_topic_score_codex":0.00010117544,"about_ca_topic_score_gemma":0.000020121312,"teacher_disagreement_score":0.02402026,"about_ca_system_score_codex":0.00029855184,"about_ca_system_score_gemma":0.00014753848,"threshold_uncertainty_score":0.54075205},"labels":[],"label_agreement":null},{"id":"W4214767053","doi":"10.3390/app12052399","title":"Applications of Forward Stratigraphic Modelling in Modern Siliciclastic Settings: A Case Study from the Fraser River Delta, Canada","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Progradation; Delta; Geology; River delta; Siliciclastic; Sediment; Structural basin; Sedimentary rock; Sedimentation; Paleontology; Facies; Engineering","score_opus":0.016758818810533416,"score_gpt":0.2073943980458112,"score_spread":0.19063557923527777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214767053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954631,0.00025111344,0.0026137151,0.00015207127,0.000026331702,0.00042099124,0.00017714332,0.000009168004,0.00088640745],"genre_scores_gemma":[0.9991264,0.0000034789236,0.00050734176,0.00027228936,0.000011037818,0.000052777497,0.000022437205,9.2006826e-7,0.000003324662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885374,0.000053446875,0.00025402682,0.00023348806,0.00041356584,0.0001917363],"domain_scores_gemma":[0.9991933,0.0005075917,0.00010129811,0.00013416608,0.000021398198,0.000042210788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048132113,0.000083284125,0.000113730115,0.000056677625,0.0008850638,0.000035586985,0.0004269114,0.000014245173,0.0003489664],"category_scores_gemma":[0.00000847687,0.000054181128,0.000017327518,0.00092568964,0.0001838471,0.000092528186,0.0000322517,0.0001489921,0.000001718164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005199558,0.000032584503,0.15955533,0.0000032945682,0.000005074005,0.000011962735,0.0020729364,0.83065027,0.0000014484015,0.00013761627,0.000041598152,0.0074826954],"study_design_scores_gemma":[0.000294516,0.00016200324,0.029744146,0.0000035624573,0.000025317197,0.000020801916,0.13477707,0.8116258,0.000013147104,0.022352291,0.00076767494,0.0002137152],"about_ca_topic_score_codex":0.7599889,"about_ca_topic_score_gemma":0.8968734,"teacher_disagreement_score":0.1368845,"about_ca_system_score_codex":0.000004699928,"about_ca_system_score_gemma":0.00024064152,"threshold_uncertainty_score":0.68072844},"labels":[],"label_agreement":null},{"id":"W4214895035","doi":"10.3390/app12052627","title":"Cardiac Magnetic Resonance Left Ventricle Segmentation and Function Evaluation Using a Trained Deep-Learning Model","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Compute Canada","keywords":"Ejection fraction; Medicine; Stroke volume; Artificial intelligence; Segmentation; End-diastolic volume; Nuclear medicine; Magnetic resonance imaging; Gold standard (test); Cardiac function curve; Cardiac magnetic resonance imaging; Cardiology; Internal medicine; Computer science; Radiology; Heart failure","score_opus":0.02984751958305828,"score_gpt":0.2935883376933744,"score_spread":0.26374081811031613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214895035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98788553,0.0049096653,0.0038364,0.00010382517,0.00013953313,0.00041019762,0.00000289503,0.000042274605,0.0026696676],"genre_scores_gemma":[0.9968356,0.000024240393,0.002841115,0.00015024516,0.000043661476,0.000046045203,0.000013034155,0.0000063412604,0.000039731298],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988722,0.000059821297,0.00010760345,0.00023865479,0.00057301944,0.0001486801],"domain_scores_gemma":[0.9997263,0.00007997459,0.00004545685,0.0000655701,0.000038318518,0.000044391527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010186918,0.00006484541,0.000105364496,0.00009567532,0.0005684817,0.000038466962,0.000030995398,0.000014106922,0.00004779093],"category_scores_gemma":[0.000075715456,0.00006626571,0.000028593295,0.00029286227,0.000092513284,0.000063697924,0.00003952833,0.000104745865,0.0000019557467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016297077,0.00008259185,0.0749199,0.000026704784,0.000015107465,0.0000027490821,0.003657886,0.31273094,0.11744296,0.0013388285,0.00015497977,0.4894644],"study_design_scores_gemma":[0.00077919837,0.00017126354,0.03412193,0.000007105278,0.00018332554,0.000015440326,0.0035690763,0.95877975,0.00084434246,0.0010177945,0.00041138122,0.00009941678],"about_ca_topic_score_codex":0.000016517637,"about_ca_topic_score_gemma":7.3489247e-7,"teacher_disagreement_score":0.6460488,"about_ca_system_score_codex":0.00009597247,"about_ca_system_score_gemma":0.00011726716,"threshold_uncertainty_score":0.4372359},"labels":[],"label_agreement":null},{"id":"W4220668587","doi":"10.3390/app12063163","title":"An Efficient Algorithm for Mapping Deep Learning Applications on the NoC Architecture","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northwestern Polytechnic","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Energy consumption; Cloud computing; Latency (audio); Network on a chip; Computer architecture; Deep learning; Distributed computing; Artificial neural network; Embedded system; Artificial intelligence; Engineering","score_opus":0.019318052836492287,"score_gpt":0.24392779547081653,"score_spread":0.22460974263432423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220668587","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028848602,0.000031231542,0.98972374,0.00086057896,0.00030562983,0.0006501934,0.0000017817637,0.0001224235,0.0054195626],"genre_scores_gemma":[0.96586627,5.057387e-7,0.03144283,0.0008427217,0.00018958283,0.0015503442,0.0000022299896,0.000005621555,0.000099919285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858767,0.000101039666,0.00016355644,0.0004674855,0.00039653102,0.00028374768],"domain_scores_gemma":[0.9991517,0.00035312038,0.000105017694,0.000315325,0.000027856024,0.000046994886],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015889117,0.00009617601,0.00009220925,0.00010912557,0.0032891717,0.00028232895,0.0013901506,0.000018544873,0.00002146003],"category_scores_gemma":[0.0000064923333,0.000065428285,0.000051475727,0.00082076894,0.00010037125,0.000043498883,0.00016539043,0.00022545137,0.000012003674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011060164,0.000033184,0.0000042353795,0.0000014843183,0.000003494351,1.837716e-7,0.0016303478,0.46134755,0.00037459846,0.34556156,0.000115835865,0.19092642],"study_design_scores_gemma":[0.00007192048,0.00014014477,0.000016954104,0.0000021105143,0.0000011379935,0.000008389664,0.0024139145,0.9396606,0.00013861361,0.0037533613,0.05368503,0.000107814725],"about_ca_topic_score_codex":0.00000686383,"about_ca_topic_score_gemma":0.0000029229159,"teacher_disagreement_score":0.9629814,"about_ca_system_score_codex":0.000038855214,"about_ca_system_score_gemma":0.000034948167,"threshold_uncertainty_score":0.99800843},"labels":[],"label_agreement":null},{"id":"W4220736066","doi":"10.3390/app12073580","title":"Modeling Several Optical Components Using Scalar Diffraction Theory","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Diffraction; Formalism (music); Fresnel diffraction; Optics; Fresnel lens; Computer science; Physics; Lens (geology)","score_opus":0.09312751305953226,"score_gpt":0.29039213858421264,"score_spread":0.19726462552468038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220736066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36894765,0.000014907521,0.6154869,0.00017113285,0.00021427392,0.00012237502,4.0803164e-7,0.0001848803,0.014857438],"genre_scores_gemma":[0.94431025,0.0000012011375,0.05531868,0.000291307,0.000031015003,0.000027939777,6.413787e-7,0.000004040148,0.0000149417365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982221,0.000077273304,0.00019383462,0.00041994252,0.0007641189,0.00032274018],"domain_scores_gemma":[0.99958056,0.000057737157,0.00004283978,0.00021957014,0.000028535886,0.000070755355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014097916,0.00011095183,0.00012220652,0.00012605789,0.0009244038,0.00021911567,0.0011333482,0.000025369169,0.00006194182],"category_scores_gemma":[0.000017378463,0.000097017924,0.000042481104,0.0004604129,0.00015558582,0.00047581425,0.0006105368,0.00022302345,0.000012685492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015930296,0.000113072165,0.00010679192,0.0000028280629,0.0000062155145,0.0000019491895,0.00022801608,0.028385188,0.119679146,0.84695446,0.00002513326,0.00448128],"study_design_scores_gemma":[0.00008473745,0.000093904586,0.000098380406,0.000005096092,0.000004081747,0.000008656106,0.00018199817,0.9391487,0.0050122594,0.055152003,0.00005115646,0.00015899648],"about_ca_topic_score_codex":0.000015928888,"about_ca_topic_score_gemma":5.2683106e-7,"teacher_disagreement_score":0.91076356,"about_ca_system_score_codex":0.00009509112,"about_ca_system_score_gemma":0.00005449453,"threshold_uncertainty_score":0.710986},"labels":[],"label_agreement":null},{"id":"W4220759704","doi":"10.3390/app12062891","title":"Survey of BERT-Base Models for Scientific Text Classification: COVID-19 Case Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topic Modeling","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Scientific literature; Pandemic; Data science; Context (archaeology); Task (project management); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Domain (mathematical analysis); Artificial intelligence; History; Infectious disease (medical specialty); Medicine; Engineering; Disease; Mathematics","score_opus":0.26733874868496865,"score_gpt":0.35752594764442186,"score_spread":0.09018719895945321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220759704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40288273,0.000052620144,0.59485555,0.00044071538,0.00038079012,0.00080826075,0.00002646219,0.00006884617,0.00048406643],"genre_scores_gemma":[0.9827083,2.4212977e-7,0.016553447,0.0002317253,0.000013553045,0.0003712117,0.0000047443987,0.000004911436,0.000111894384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973362,0.0001807635,0.0003889764,0.00095440703,0.000828651,0.00031099436],"domain_scores_gemma":[0.998085,0.00061829295,0.0002103853,0.0008163787,0.00011845505,0.00015146265],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006941106,0.000117704796,0.000184099,0.00026210884,0.002192229,0.00028561451,0.001935385,0.000019914749,0.000022536586],"category_scores_gemma":[0.00011897226,0.00011038509,0.000040672894,0.0019126539,0.0003785467,0.000312362,0.00061048224,0.00009503204,0.0000028194668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003079794,0.0011167096,0.0063874098,0.000051111565,0.000026122321,0.000084769345,0.02240902,0.51015145,0.0017290786,0.42825896,0.0023681812,0.02738643],"study_design_scores_gemma":[0.00045261165,0.00016251259,0.0003013402,8.272338e-7,0.00000585208,0.00005590993,0.0072460733,0.9826067,0.000121278885,0.008493477,0.00037576488,0.0001776243],"about_ca_topic_score_codex":0.0011879728,"about_ca_topic_score_gemma":0.00076490885,"teacher_disagreement_score":0.5798256,"about_ca_system_score_codex":0.000091823356,"about_ca_system_score_gemma":0.00096733135,"threshold_uncertainty_score":0.99910676},"labels":[],"label_agreement":null},{"id":"W4220801252","doi":"10.3390/app12073518","title":"Pulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Medicine; Pulmonary artery; Internal medicine; Cardiology; Hemodynamics; Magnetic resonance imaging; Ventricle; Cardiac magnetic resonance imaging; Ejection fraction; Pulmonary hypertension; Radiology; Heart failure","score_opus":0.017771451625316036,"score_gpt":0.25475024271078295,"score_spread":0.2369787910854669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220801252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97187793,0.016277865,0.000024942934,0.00096108916,0.00008063086,0.0004912927,0.000019597206,0.000048911606,0.010217754],"genre_scores_gemma":[0.99594855,0.00037999576,0.0029612263,0.00043380688,0.000015315169,0.00006391732,0.000021430056,0.000015786713,0.00015995218],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997931,0.00004751396,0.0002787427,0.00059001247,0.0007441105,0.00040861615],"domain_scores_gemma":[0.9993018,0.00011840598,0.000077996614,0.0002776263,0.000057504792,0.00016669201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004718259,0.00016674852,0.00029943237,0.00027392615,0.00058305,0.000015105573,0.00019080577,0.000024475046,0.000058893434],"category_scores_gemma":[0.00002861613,0.00013948296,0.000056270703,0.00063367136,0.00052515464,0.00012601701,0.00030343272,0.00017367223,0.0000041223448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008328276,0.00051348744,0.026782606,0.000052231582,0.000013723214,0.002303863,0.00004497278,0.00014987025,0.4624717,0.0001832873,0.000071372604,0.50658005],"study_design_scores_gemma":[0.0026401854,0.00090741133,0.14939554,0.00020122065,0.00011679433,0.012776896,0.0058240634,0.81782055,0.002497589,0.0042985776,0.0029218572,0.0005993433],"about_ca_topic_score_codex":0.000037672693,"about_ca_topic_score_gemma":6.3178567e-7,"teacher_disagreement_score":0.81767064,"about_ca_system_score_codex":0.00005067173,"about_ca_system_score_gemma":0.0001303165,"threshold_uncertainty_score":0.56879497},"labels":[],"label_agreement":null},{"id":"W4220801382","doi":"10.3390/app12063062","title":"Ketone Analog of Caffeic Acid Phenethyl Ester Exhibits Antioxidant Activity via Activation of ERK-Dependent Nrf2 Pathway","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; University of Alberta; Dalhousie University","funders":"","keywords":"Caffeic acid phenethyl ester; Antioxidant; Caffeic acid; Chemistry; Biochemistry; MAPK/ERK pathway; Gallic acid; Ketone; Kinase; Pharmacology; Organic chemistry; Biology","score_opus":0.013849011545008848,"score_gpt":0.23893411982017534,"score_spread":0.2250851082751665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220801382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518603,0.00011856672,0.002339798,0.00004309894,0.00007715968,0.00020527498,0.000048243157,0.000005430872,0.0019763806],"genre_scores_gemma":[0.9993307,0.000015397576,0.00042702348,0.000057447043,0.000050674316,0.000036882393,0.000022245566,0.00000831568,0.00005132595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874437,0.00006183806,0.00022463412,0.0004229308,0.00033272093,0.00021352213],"domain_scores_gemma":[0.99933994,0.000021737875,0.00028241554,0.00025521254,0.00005432408,0.000046345504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140758,0.00013255593,0.00020133136,0.00006809111,0.00016754707,0.000009889326,0.0003664529,0.000056905337,0.000040062692],"category_scores_gemma":[0.000021170406,0.0001252698,0.00006809876,0.00021282728,0.00035121915,0.000007939863,0.00028837007,0.00009258725,0.0000011754262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000839086,0.00013552941,0.0012087792,0.000017579152,0.000021125505,2.5335535e-7,0.0001265464,0.00039477026,0.9948243,0.00014952444,0.000032360655,0.0030053307],"study_design_scores_gemma":[0.00028932386,0.00022323946,0.007193437,0.000004033413,0.0000074071227,0.0000018715233,0.00027044714,0.000039633953,0.9912477,0.00040641148,0.0001765763,0.00013988286],"about_ca_topic_score_codex":0.000040848427,"about_ca_topic_score_gemma":0.000020629908,"teacher_disagreement_score":0.0059846574,"about_ca_system_score_codex":0.000019927023,"about_ca_system_score_gemma":0.00011373437,"threshold_uncertainty_score":0.5108354},"labels":[],"label_agreement":null},{"id":"W4220826263","doi":"10.3390/app12063165","title":"Rehabilitation of Patients with Moderate Knee Osteoarthritis Using Hyaluronic Acid Viscosupplementation and Physiotherapy","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Viscosupplementation; Medicine; Osteoarthritis; Physical therapy; Visual analogue scale; WOMAC; Range of motion; Rehabilitation; Massage; Transcutaneous electrical nerve stimulation; Hyaluronic acid; Physical medicine and rehabilitation; Randomized controlled trial; Surgery; Intra articular","score_opus":0.009664749407144986,"score_gpt":0.26228214936822897,"score_spread":0.25261739996108395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220826263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873126,0.00011310456,0.000107233725,0.000060610153,0.000036775855,0.0006879105,0.000023804,0.000013827582,0.00022547445],"genre_scores_gemma":[0.990758,0.0000020498564,0.009001003,0.00007640794,0.000009446829,0.00008877655,0.00004321823,0.000007794177,0.000013281752],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912876,0.00002368569,0.00013233874,0.00021980291,0.0003645683,0.00013085015],"domain_scores_gemma":[0.9997437,0.000027542448,0.00008650122,0.00007941994,0.00003004463,0.000032812524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013744038,0.000079183366,0.00013601354,0.00008751575,0.0003027293,0.000015217541,0.000033462864,0.00001093182,0.000109971654],"category_scores_gemma":[0.000002769004,0.00006559143,0.000017053691,0.00022927705,0.00015282894,0.00010453836,0.00002687209,0.000039073937,5.8702125e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002899478,0.00092159404,0.0861551,0.00012195088,0.000054779706,0.000004413736,0.0066776606,0.0011893071,0.60829484,0.012988337,0.000025618629,0.2806669],"study_design_scores_gemma":[0.11087775,0.24900487,0.12646107,0.00042315928,0.00060796615,0.000055820103,0.038375985,0.006654011,0.44717637,0.017531568,0.001057368,0.0017740452],"about_ca_topic_score_codex":0.00001184337,"about_ca_topic_score_gemma":0.00001051926,"teacher_disagreement_score":0.27889284,"about_ca_system_score_codex":0.00003768662,"about_ca_system_score_gemma":0.00006352793,"threshold_uncertainty_score":0.26747409},"labels":[],"label_agreement":null},{"id":"W4220850818","doi":"10.3390/app12062994","title":"Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Prostate; Contouring; Ultrasound; Prostate brachytherapy; Prostate cancer; Artificial intelligence; Computer science; Segmentation; Computer vision; Brachytherapy; Medicine; Image segmentation; Pixel; Radiology; Radiation therapy; Cancer; Computer graphics (images)","score_opus":0.013964037921394681,"score_gpt":0.29179414798023495,"score_spread":0.2778301100588403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220850818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056705847,0.0000774495,0.9231753,0.0012234553,0.0003281345,0.0009606,0.000011209803,0.00058302097,0.01693498],"genre_scores_gemma":[0.78998756,0.000009720898,0.20820281,0.001190949,0.000013034252,0.0004047724,0.000006908469,0.000004722475,0.00017952763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981306,0.00009075121,0.00026738836,0.0004952421,0.00071215106,0.00030385912],"domain_scores_gemma":[0.9994182,0.00015781629,0.00011580739,0.00022685861,0.00001597289,0.00006535719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121937,0.00010447177,0.00011158729,0.00023390459,0.00044843717,0.00023290777,0.0011114728,0.000015685202,0.00014637469],"category_scores_gemma":[0.000029623316,0.00009971282,0.000021554499,0.0011508161,0.00025071486,0.0005579276,0.00033448654,0.00016422833,0.000022900294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000117611735,0.0003080181,0.002571759,0.0000203814,0.0000075664843,0.0000366822,0.010722039,0.0022932307,0.730863,0.052867938,0.0070509096,0.19324672],"study_design_scores_gemma":[0.0009339487,0.00036658667,0.004221454,0.000010236201,0.0000051564034,0.000054822856,0.004465958,0.007546847,0.9274751,0.053571146,0.0007067436,0.00064198655],"about_ca_topic_score_codex":0.000087433385,"about_ca_topic_score_gemma":0.000009544755,"teacher_disagreement_score":0.73328173,"about_ca_system_score_codex":0.00013337766,"about_ca_system_score_gemma":0.00016187243,"threshold_uncertainty_score":0.4066171},"labels":[],"label_agreement":null},{"id":"W4220887388","doi":"10.3390/app12062849","title":"RETRACTED: Laser Welding of UNS S33207 Hyper-Duplex Stainless Steel to 6061 Aluminum Alloy Using High Entropy Alloy as a Filler Material","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":26,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Natural Science Foundation of China","keywords":"Materials science; Alloy; Metallurgy; Intermetallic; Aluminium; Ultimate tensile strength; Welding; Alonizing; Composite material","score_opus":0.017658520034479225,"score_gpt":0.23734920111681315,"score_spread":0.21969068108233392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220887388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957577,0.00003899668,0.00011092982,0.00016185426,0.0012174656,0.00045810372,0.00008646661,0.0002230953,0.0019453999],"genre_scores_gemma":[0.9947614,0.000016771432,0.004534809,0.00014719724,0.00019548497,0.00011575852,0.000012469507,0.00004737959,0.00016870482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99720615,0.00005539117,0.00047162038,0.0005207655,0.0009985334,0.0007475155],"domain_scores_gemma":[0.999267,0.00011956995,0.00011128537,0.00030974968,0.000049671424,0.00014276833],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006169118,0.00030561318,0.00044178095,0.0002818884,0.00067672215,0.00010555509,0.0007088074,0.000076376,0.0012727366],"category_scores_gemma":[0.00003537081,0.00030082322,0.00007197157,0.0008515612,0.00024313726,0.000168471,0.0005031442,0.00026096136,0.000051418257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049189814,0.000049596834,0.00029501863,0.00003698303,0.000065599525,0.000013953791,0.0013941968,0.4011636,0.5914717,0.003907669,0.0014264139,0.00012608105],"study_design_scores_gemma":[0.002017732,0.00075266196,0.0047654365,0.00010004239,0.00019829707,0.000053477233,0.021938493,0.027387016,0.8680021,0.0006938256,0.07175739,0.002333522],"about_ca_topic_score_codex":0.00027238493,"about_ca_topic_score_gemma":0.00003298866,"teacher_disagreement_score":0.3737766,"about_ca_system_score_codex":0.00023047283,"about_ca_system_score_gemma":0.00008377603,"threshold_uncertainty_score":0.9999444},"labels":[],"label_agreement":null},{"id":"W4220891953","doi":"10.3390/app12063054","title":"An Overview of Self-Heating Phenomena and Theory Related to Damping and Fatigue of Metals","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Materials science; Dissipation; Burgers vector; Fatigue limit; Nucleation; Vibration fatigue; Mechanics; Dislocation; Thermodynamics; Composite material; Fatigue testing; Physics","score_opus":0.0366668053488134,"score_gpt":0.27835819049408717,"score_spread":0.24169138514527377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220891953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146175,0.0025469416,0.001931166,0.000014573383,0.000058006586,0.00015810068,0.0000051394445,0.000051244464,0.003773083],"genre_scores_gemma":[0.99578154,0.00006667928,0.0040872954,0.000039243256,0.0000043201308,0.000011878485,9.930641e-7,0.000005935287,0.0000021251794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941546,0.000026969401,0.00016309392,0.00013581532,0.00015199947,0.000106664505],"domain_scores_gemma":[0.99973595,0.00008655544,0.00004171814,0.00009115709,0.000007106572,0.000037527432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008594486,0.00006545641,0.00014529708,0.00007860659,0.00012225538,0.000011526785,0.00012385422,0.000015225334,0.000026592461],"category_scores_gemma":[0.00000907659,0.000058559734,0.000009996954,0.00035627268,0.000046415193,0.0000706486,0.00006205472,0.000064241714,1.8281976e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008686163,0.00004217105,0.00037142268,0.00033325507,0.00007242741,7.6504415e-7,0.022186654,0.09755621,0.27842936,0.56004655,0.000015719394,0.04093677],"study_design_scores_gemma":[0.0015221941,0.0015737643,0.0049787103,0.00024484305,0.0002545616,0.000026295149,0.050348733,0.46153364,0.24832861,0.22758941,0.0020124186,0.0015868123],"about_ca_topic_score_codex":0.0000070019905,"about_ca_topic_score_gemma":0.0000014762666,"teacher_disagreement_score":0.36397743,"about_ca_system_score_codex":0.0000074253744,"about_ca_system_score_gemma":0.000009465647,"threshold_uncertainty_score":0.23879966},"labels":[],"label_agreement":null},{"id":"W4220915260","doi":"10.3390/app12073543","title":"Advances in Hyperspectral and Multispectral Optical Spectroscopy and Imaging of Tissue","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hyperspectral imaging; Multispectral image; Software portability; Optical imaging; Imaging spectroscopy; Characterization (materials science); Materials science; Remote sensing; Computer science; Optics; Nanotechnology; Physics; Geography","score_opus":0.008571894329363448,"score_gpt":0.31720461559085517,"score_spread":0.3086327212614917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220915260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9367184,0.0022479915,0.0005331414,0.0015236902,0.000029779758,0.0002741811,0.0000025578852,0.00006632648,0.05860394],"genre_scores_gemma":[0.93006164,0.0002455349,0.06949665,0.00012936145,0.00001973844,0.000024335115,8.044203e-7,0.000006073254,0.000015853653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891156,0.0000150318365,0.00017555633,0.00033974845,0.00027482875,0.0002832643],"domain_scores_gemma":[0.99971133,0.00007201597,0.000036790232,0.00009195382,0.00000900587,0.00007889262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036472664,0.000101008474,0.00023987585,0.0001627997,0.00017544645,0.000024906152,0.00009181819,0.000014105669,0.000039425777],"category_scores_gemma":[0.00002483199,0.00008807238,0.000015365395,0.00032355555,0.00086597825,0.000103336,0.00009859314,0.0002197054,3.9901875e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009532087,0.00014929066,0.061694782,0.000039699127,0.0000030320923,0.000032047392,0.00047145304,0.0000074431628,0.74870366,0.18037182,0.000028538023,0.008402928],"study_design_scores_gemma":[0.0018928185,0.001668541,0.052254498,0.000060960425,0.000051435618,0.00046862257,0.007621186,0.0041733924,0.90178,0.0287212,0.0008535134,0.00045379522],"about_ca_topic_score_codex":0.000037068916,"about_ca_topic_score_gemma":0.0000070784185,"teacher_disagreement_score":0.1530764,"about_ca_system_score_codex":0.000039330902,"about_ca_system_score_gemma":0.000048297716,"threshold_uncertainty_score":0.35914874},"labels":[],"label_agreement":null},{"id":"W4220949653","doi":"10.3390/app12062806","title":"Investigating the Influence of Feature Sources for Malicious Website Detection","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Credential; Machine learning; Pipeline (software); Feature (linguistics); Artificial intelligence; JavaScript; Classifier (UML); Information retrieval; World Wide Web; Data mining; Computer security","score_opus":0.014344789367283362,"score_gpt":0.22774305511055987,"score_spread":0.2133982657432765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220949653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774504,0.000056041532,0.020641048,0.00091858074,0.00021593091,0.00023271213,0.0000018836864,0.00007564009,0.0004077742],"genre_scores_gemma":[0.99430585,8.2688626e-7,0.0049506454,0.0005362999,0.000043273856,0.00012412392,2.817246e-7,0.0000028179072,0.00003587381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990202,0.000045310215,0.00011844097,0.0002677806,0.00037875448,0.00016948885],"domain_scores_gemma":[0.99934363,0.00023225747,0.00016143624,0.00020639107,0.000030520347,0.000025735937],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011156206,0.00006870802,0.000075430224,0.00007745092,0.0015348832,0.00013075823,0.0010429288,0.00002093373,0.0000019968652],"category_scores_gemma":[0.00005608274,0.00004970286,0.000034628512,0.0010094617,0.00022361142,0.00019914182,0.00023288172,0.00013566813,0.0000014432568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011696678,0.000029982111,0.0024641198,0.00002970739,0.000013842818,2.823503e-7,0.010571828,0.1925646,0.68256783,0.07711196,0.00050430314,0.034129847],"study_design_scores_gemma":[0.0009009159,0.0012505022,0.05904319,0.000031412674,0.000039668575,0.00009959829,0.0052926815,0.20611203,0.53773135,0.15603381,0.03259203,0.00087283575],"about_ca_topic_score_codex":0.00006759158,"about_ca_topic_score_gemma":0.000026011787,"teacher_disagreement_score":0.1448365,"about_ca_system_score_codex":0.000019753683,"about_ca_system_score_gemma":0.000052890333,"threshold_uncertainty_score":0.999765},"labels":[],"label_agreement":null},{"id":"W4220952571","doi":"10.3390/app12073426","title":"Partial Replacement of Petroleum Coke with Modified Biocoke during Production of Anodes Used in the Aluminum Industry: Effect of Additive Type","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Boisaco (Canada); Aluminerie Alouette (Canada); Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Université du Québec à Chicoutimi","keywords":"Petroleum coke; Coke; Anode; Materials science; Environmental science; Greenhouse gas; Waste management; Pulp and paper industry; Metallurgy; Chemistry; Engineering; Electrode","score_opus":0.009580465305335926,"score_gpt":0.2155753699432407,"score_spread":0.20599490463790476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220952571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980147,0.000042129246,0.000010882861,0.000023811976,0.0000988416,0.000333477,0.000009826345,0.000020913,0.0014454534],"genre_scores_gemma":[0.9997893,0.0000011791474,0.00006054145,0.000002810722,0.000015968622,0.00009966205,0.000004965651,0.0000066898847,0.000018867808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898744,0.0000535631,0.00021838742,0.0001615803,0.00042042191,0.00015862778],"domain_scores_gemma":[0.99956775,0.00010784858,0.00011085316,0.00018559268,0.000013713761,0.000014216226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440365,0.00009791669,0.00018447581,0.00014284073,0.000081078215,0.0000072279404,0.00025576047,0.000028866089,0.000022793136],"category_scores_gemma":[0.000012668005,0.00006904571,0.000019204565,0.0007220013,0.0002487471,0.000058941594,0.000053596676,0.00016783825,3.7748242e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029357497,0.000025740308,0.006888177,0.00008653231,0.000028464374,6.6634135e-7,0.0019618745,0.42492676,0.56522,0.00040727205,0.000046173747,0.00011476231],"study_design_scores_gemma":[0.0003820658,0.00054373365,0.0028325354,0.000022221948,0.000015731352,0.0000031578654,0.0011832711,0.0052070543,0.9897044,0.000006244789,0.000019825791,0.000079780395],"about_ca_topic_score_codex":0.00006352506,"about_ca_topic_score_gemma":0.00000902128,"teacher_disagreement_score":0.42448437,"about_ca_system_score_codex":0.000027696933,"about_ca_system_score_gemma":0.000032116786,"threshold_uncertainty_score":0.28156024},"labels":[],"label_agreement":null},{"id":"W4221020147","doi":"10.3390/app12062983","title":"Automated Graffiti Detection: A Novel Approach to Maintaining Historical Architecture in Communities","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Horizon 2020 Framework Programme; National Research Foundation of Korea; National Science Foundation","keywords":"Graffiti; Computer science; Orthophoto; Tourism; Artificial intelligence; Architecture; Process (computing); Set (abstract data type); Data science; Geography","score_opus":0.04330391350322372,"score_gpt":0.22186899574655877,"score_spread":0.17856508224333506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221020147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470014,0.000095871175,0.00097471825,0.00020791139,0.0002587306,0.00021376122,0.000022460837,0.00029457308,0.050930563],"genre_scores_gemma":[0.99621314,7.771083e-7,0.003172157,0.0004312166,0.00003147584,0.000025392948,0.000024673138,0.0000024887543,0.00009868898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986497,0.00012292597,0.00017339956,0.00025569103,0.00043389385,0.00036437876],"domain_scores_gemma":[0.99959725,0.00013850453,0.000041018455,0.00012295388,0.0000087584685,0.000091523594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098283,0.0001183272,0.00015322179,0.00017456352,0.0012277572,0.00008283788,0.0005259742,0.000027729302,0.00020915948],"category_scores_gemma":[0.000012473135,0.00009633332,0.000029671164,0.001272834,0.00012184083,0.000065828535,0.00006069989,0.00031897577,0.000019005716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086955704,0.00012777986,0.051642817,0.0000143978305,0.00000883747,0.000007384886,0.017761795,0.8900432,0.0009858237,0.0010055606,0.0005757393,0.037739716],"study_design_scores_gemma":[0.0012932656,0.0012519476,0.55967814,0.000025575053,0.000014577906,0.00032592745,0.1397138,0.2587464,0.00022187084,0.0017999704,0.035310943,0.0016176418],"about_ca_topic_score_codex":0.0047282856,"about_ca_topic_score_gemma":0.0070669283,"teacher_disagreement_score":0.6312968,"about_ca_system_score_codex":0.000051486903,"about_ca_system_score_gemma":0.000045014,"threshold_uncertainty_score":0.94430393},"labels":[],"label_agreement":null},{"id":"W4221048704","doi":"10.3390/app12073353","title":"Life Cycle Assessment of Waste Glass Powder Incorporation on Concrete: A Bridge Retrofit Study Case","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Life-cycle assessment; Durability; Context (archaeology); Bridge (graph theory); Environmental impact assessment; Waste management; Environmental science; Cement; Materials science; Engineering; Production (economics); Composite material","score_opus":0.02329225771353452,"score_gpt":0.2684058339303268,"score_spread":0.24511357621679228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221048704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98717606,0.00003145364,0.00011406868,0.000059742426,0.00030799056,0.00052888,0.000016550403,0.00011474868,0.011650498],"genre_scores_gemma":[0.9993477,0.000004776032,0.00031762448,0.00007692245,0.000053411357,0.00016346584,0.0000047609597,0.00001608924,0.00001527547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841803,0.000052929136,0.00033088628,0.00030338933,0.0006490532,0.00024568074],"domain_scores_gemma":[0.99939126,0.000086607666,0.00012900402,0.0002707436,0.000024065424,0.00009831213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007602732,0.00015047561,0.00022080303,0.00015822628,0.00038664017,0.00005082781,0.00033553332,0.000025143156,0.00010177525],"category_scores_gemma":[0.000018030616,0.00014300451,0.0000327562,0.0007545611,0.00012631444,0.00015544578,0.00013542973,0.00023134936,0.000009195542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060454735,0.00007536887,0.022941725,0.000090067966,0.00011132109,0.00032989762,0.0032354477,0.9057457,0.052288596,0.007356165,0.0013495225,0.0064157555],"study_design_scores_gemma":[0.0017600168,0.0015640566,0.016614297,0.000021074653,0.000044215736,0.00016402661,0.011620252,0.9584594,0.008468591,0.00020893525,0.0003890396,0.0006861299],"about_ca_topic_score_codex":0.000052655516,"about_ca_topic_score_gemma":0.000011354099,"teacher_disagreement_score":0.052713685,"about_ca_system_score_codex":0.00011866178,"about_ca_system_score_gemma":0.000115452116,"threshold_uncertainty_score":0.5831555},"labels":[],"label_agreement":null},{"id":"W4221109804","doi":"10.3390/app12063178","title":"Model-Free Data Mining of Families of Rotating Machinery","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Cluster analysis; Computer science; Data mining; Raw data; A priori and a posteriori; Entropy (arrow of time); Artificial intelligence; Pattern recognition (psychology); Feature vector; Set (abstract data type); Machine learning","score_opus":0.06606428382524424,"score_gpt":0.2629426789852309,"score_spread":0.19687839515998665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221109804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7386552,0.00028624377,0.21784593,0.0003791144,0.00013616608,0.0001456818,0.000069131405,0.000070869886,0.042411663],"genre_scores_gemma":[0.7122587,0.0000019934193,0.2876648,0.00003301854,0.0000074056366,0.0000046350638,0.0000031006475,0.000002127224,0.000024198653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984866,0.000025988213,0.0003214539,0.00039381732,0.0005851353,0.00018703032],"domain_scores_gemma":[0.9983833,0.00012892857,0.00029257854,0.0011454612,0.000023637263,0.000026132071],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0013787579,0.00007611683,0.00019130198,0.00014181614,0.0004274826,0.00004388576,0.005492962,0.000009850881,0.000021205686],"category_scores_gemma":[0.0000768281,0.00006605957,0.000035238285,0.0011153006,0.00021669791,0.00031614336,0.00575927,0.00006942765,3.9348305e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008784636,0.00008159247,0.0036125742,0.00003811282,0.000036026144,0.000001691806,0.0065733152,0.5983655,0.01711183,0.2136457,0.0011212863,0.15940362],"study_design_scores_gemma":[0.000071938804,0.00004268018,0.0001074542,0.000003942009,0.0000060618645,0.000001672884,0.0020300886,0.9932394,0.0006170159,0.0037360298,0.0000661035,0.00007761411],"about_ca_topic_score_codex":0.00008128714,"about_ca_topic_score_gemma":0.000020230831,"teacher_disagreement_score":0.39487395,"about_ca_system_score_codex":0.000005730759,"about_ca_system_score_gemma":0.00009352468,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4221115412","doi":"10.3390/app12052700","title":"Vibration and Reliability Analysis of Non-Uniform Composite Beam under Random Load","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Random vibration; Vibration; Structural engineering; Beam (structure); Composite number; Rigidity (electromagnetism); Flutter; Reliability (semiconductor); Mathematics; Engineering; Materials science; Mechanics; Acoustics; Physics; Aerodynamics; Composite material","score_opus":0.004455670366841588,"score_gpt":0.20587854137415168,"score_spread":0.2014228710073101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221115412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785669,0.00005271927,0.115356095,0.000034768913,0.000040524035,0.00009497546,0.000006763583,0.000029658859,0.005817597],"genre_scores_gemma":[0.99664307,0.000015538746,0.0032646141,0.000034018274,0.0000069637244,0.000009216942,0.00001768748,0.0000027842548,0.000006122999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992895,0.000010176417,0.00017952919,0.00015804864,0.00027653683,0.000086212545],"domain_scores_gemma":[0.9997411,0.0000522555,0.000046187484,0.00011416234,0.000022676128,0.000023664781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034608247,0.000066016226,0.00018699988,0.00018816961,0.00024318226,0.000033669614,0.00011391532,0.000014997131,0.00008827196],"category_scores_gemma":[0.0000020225468,0.00005837511,0.000052022267,0.0015009963,0.0000864035,0.00007357995,0.00004928716,0.00005370199,3.0978666e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008730396,0.0000061857595,0.0007088643,0.000005229028,0.00006392078,4.1827946e-8,0.0003360307,0.9819156,0.016310833,0.00025640219,0.000017542146,0.00037060207],"study_design_scores_gemma":[0.00020587708,0.00001785701,0.01599984,6.548924e-7,0.00021072334,2.9116248e-7,0.00029392852,0.97914773,0.0036232062,0.00036678853,0.00005154287,0.00008157661],"about_ca_topic_score_codex":0.000040242638,"about_ca_topic_score_gemma":0.000030498803,"teacher_disagreement_score":0.11807616,"about_ca_system_score_codex":0.000045102035,"about_ca_system_score_gemma":0.000014396295,"threshold_uncertainty_score":0.23804678},"labels":[],"label_agreement":null},{"id":"W4223592549","doi":"10.3390/app12083830","title":"A Copula-Based Attack Prediction Model for Vehicle-to-Grid Networks","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Denial-of-service attack; Computer science; Emulation; Smart grid; Grid; Intrusion detection system; Computer security; Software; Data mining; Engineering; Mathematics; Operating system","score_opus":0.03259001930637563,"score_gpt":0.2576225362833058,"score_spread":0.22503251697693016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223592549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036995046,0.00003347994,0.959016,0.0009835885,0.0010628301,0.00055576966,0.000012289566,0.00023553592,0.0011054258],"genre_scores_gemma":[0.9718719,0.0000028884529,0.024646848,0.002649973,0.00020017287,0.0005502359,0.0000062870135,0.0000064818187,0.00006517462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982851,0.000038096074,0.00021188361,0.00057652494,0.0005109775,0.00037742816],"domain_scores_gemma":[0.99937725,0.00010175127,0.00008659421,0.00029203587,0.00003671207,0.000105645755],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010341175,0.000113505645,0.00011856263,0.00014917926,0.0017141855,0.00017915762,0.0010422547,0.000037636997,0.000022492977],"category_scores_gemma":[0.000011244577,0.00011191334,0.000058011698,0.0012448616,0.00008559497,0.00022454308,0.00032206936,0.00016131412,0.000009313528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026637606,0.00003442184,0.00002074846,0.000002944354,0.000001673997,3.165023e-7,0.00022715861,0.9662758,0.00029021676,0.016017828,0.008025085,0.0090771755],"study_design_scores_gemma":[0.00025972622,0.00026643477,0.00004846316,0.0000028539307,0.0000034073046,0.0000022048735,0.00003423971,0.9867817,0.0003438423,0.0026183487,0.009503682,0.00013509244],"about_ca_topic_score_codex":0.000007244544,"about_ca_topic_score_gemma":0.0000125452,"teacher_disagreement_score":0.9348769,"about_ca_system_score_codex":0.000072504336,"about_ca_system_score_gemma":0.00011431776,"threshold_uncertainty_score":0.99958545},"labels":[],"label_agreement":null},{"id":"W4223624742","doi":"10.3390/app12083811","title":"The Influence of the Practiced Karate Style on the Dexterity and Strength of the Hand","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Martial Arts: Techniques, Psychology, and Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Martial arts; Grip strength; Psychology; Test (biology); Style (visual arts); Physical therapy; Medicine; Art; Visual arts","score_opus":0.027812494473844696,"score_gpt":0.3280444389985267,"score_spread":0.300231944524682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223624742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96115506,0.000034524324,0.0000025905233,0.014225765,0.00024306118,0.0003651234,0.0000027820104,0.000008550663,0.023962561],"genre_scores_gemma":[0.9989812,0.000038897455,0.000023809924,0.0006266063,0.000030274094,0.00006727025,6.2955785e-8,0.0000016496773,0.0002302298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986135,0.0004434676,0.00014829158,0.00015811165,0.00047354883,0.00016309062],"domain_scores_gemma":[0.9987471,0.00065416,0.00026918986,0.00027118347,0.00003771791,0.00002063253],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003440074,0.000053559004,0.000062652674,0.00001540351,0.004370822,0.00008490693,0.00090807874,0.0000212818,0.00004136617],"category_scores_gemma":[0.00036004029,0.000022487096,0.000026120168,0.0005347993,0.0034337542,0.00007598121,0.00017311312,0.00015884887,8.39384e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008961517,0.0002445647,0.014780982,0.000010444888,0.000018902878,9.3311336e-8,0.10111046,0.00024316249,0.031484805,0.82436705,0.0058904598,0.02175946],"study_design_scores_gemma":[0.00027279786,0.00033234013,0.48396844,0.000032393313,0.00004395235,0.0000028580519,0.15618733,0.00011429862,0.02640352,0.119555436,0.2127938,0.00029286242],"about_ca_topic_score_codex":0.001217216,"about_ca_topic_score_gemma":0.0010828332,"teacher_disagreement_score":0.70481163,"about_ca_system_score_codex":0.000019553756,"about_ca_system_score_gemma":0.00019025285,"threshold_uncertainty_score":0.9992783},"labels":[],"label_agreement":null},{"id":"W4223895136","doi":"10.3390/app12084017","title":"Analyzing Pedestrian Behavior at Unsignalized Crosswalks from the Drivers’ Perspective: A Qualitative Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pedestrian; Transport engineering; Perspective (graphical); Computer science; Pedestrian crossing; Engineering; Artificial intelligence","score_opus":0.030760503258222435,"score_gpt":0.31037961050602364,"score_spread":0.2796191072478012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223895136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931393,0.00027537358,0.00027844674,0.00012493493,0.00022989385,0.00046512627,0.000046246125,0.00019388099,0.0052467617],"genre_scores_gemma":[0.9994388,0.000004837772,0.00017169151,0.000031728418,0.000045816334,0.00018165549,0.0000051259476,0.000011427275,0.00010887637],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.998642,0.0001359034,0.00017424635,0.00034544474,0.00044367203,0.00025872444],"domain_scores_gemma":[0.9993865,0.00031537985,0.000044949575,0.00018473183,0.00001724421,0.00005119475],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007497048,0.00013984741,0.00016453351,0.00005446835,0.001826063,0.000078667865,0.0005259831,0.000020227833,0.00052172685],"category_scores_gemma":[0.000009387768,0.00010125223,0.000059756363,0.00066006347,0.00032306378,0.00006764462,0.00019506174,0.00021956026,0.000028479717],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064966174,0.0002817117,0.015591676,0.0000027773474,0.0001700561,0.000026274325,0.9109141,0.05628416,0.0044774897,0.008693913,0.0019903777,0.0015024857],"study_design_scores_gemma":[0.00087050284,0.00010782128,0.03570215,0.0000017921791,0.000082725885,0.0000019196696,0.9599787,0.0011450879,0.00014335605,0.00057859207,0.0011166198,0.0002707052],"about_ca_topic_score_codex":0.00052798487,"about_ca_topic_score_gemma":0.0003947533,"teacher_disagreement_score":0.05513907,"about_ca_system_score_codex":0.00022141154,"about_ca_system_score_gemma":0.000051618044,"threshold_uncertainty_score":0.99947345},"labels":[],"label_agreement":null},{"id":"W4224066382","doi":"10.3390/app12084001","title":"Preparing and Characterizing Novel Biodegradable Starch/PVA-Based Films with Nano-Sized Zinc-Oxide Particles for Wound-Dressing Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyvinyl alcohol; Materials science; Wound dressing; Starch; Zinc; Chemical engineering; Biodegradation; Scanning electron microscope; Absorption of water; Composite material; Chemistry; Organic chemistry; Metallurgy","score_opus":0.04482572990539364,"score_gpt":0.30163032619538416,"score_spread":0.2568045962899905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224066382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366844,0.0001280785,0.0034307763,0.00078117906,0.000022011083,0.0010576829,0.000031407355,0.000094839954,0.0007855693],"genre_scores_gemma":[0.9377025,0.0000031108905,0.06044014,0.00037513202,0.00002497803,0.0013249452,0.000032355056,0.000012945914,0.00008392953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987355,0.000011737147,0.00017904627,0.00041879364,0.00031920004,0.00033571327],"domain_scores_gemma":[0.9994047,0.00017630075,0.000108387816,0.00017552242,0.000026132655,0.000108936554],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00046865392,0.00012335142,0.00020250339,0.000093226656,0.0015941339,0.00010101995,0.00010523331,0.000020880007,0.000011151862],"category_scores_gemma":[0.0000107226915,0.000093608454,0.000027305798,0.00034657732,0.00026285206,0.000070379676,0.000050787192,0.00008503755,0.0000015295333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012761255,0.00088607194,0.029973445,0.0002727367,0.000118763644,0.0000038350922,0.0012201085,0.00091445626,0.9408733,0.008452767,0.00009930336,0.01590907],"study_design_scores_gemma":[0.04069156,0.006326362,0.060470946,0.0007097029,0.0013591726,0.00033241237,0.017358905,0.0763226,0.680728,0.0049335356,0.10823898,0.002527789],"about_ca_topic_score_codex":0.00011772372,"about_ca_topic_score_gemma":0.00003092055,"teacher_disagreement_score":0.26014528,"about_ca_system_score_codex":0.00005791822,"about_ca_system_score_gemma":0.00029953066,"threshold_uncertainty_score":0.9997057},"labels":[],"label_agreement":null},{"id":"W4224109539","doi":"10.3390/app12083920","title":"Automated Beehive Acoustics Monitoring: A Comprehensive Review of the Literature and Recommendations for Future Work","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beehive; Multidisciplinary approach; Data science; Field (mathematics); Set (abstract data type); Computer science; Engineering; Systems engineering; Architectural engineering; Ecology; Biology; Sociology; Social science","score_opus":0.12785866904455467,"score_gpt":0.3187701955486301,"score_spread":0.19091152650407545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224109539","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014422179,0.99734837,6.115056e-8,0.0007588746,0.00020083504,0.0008404133,0.00048689943,0.000043196353,0.00017712187],"genre_scores_gemma":[0.00006316256,0.99899614,0.00018189893,0.00013651529,0.0003067358,0.00020584124,0.00007231948,9.39141e-7,0.000036474707],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998944,0.000066137654,0.00028932022,0.0003093687,0.0002074326,0.00018376452],"domain_scores_gemma":[0.99877816,0.00077445904,0.00034410588,0.000027346987,0.000044222423,0.00003169009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023436804,0.00020169627,0.0006289552,0.000012330222,0.00091181335,0.000058290338,0.00049611786,0.00008018273,0.00003079493],"category_scores_gemma":[0.00003454543,0.000057778674,0.00018509406,0.0012047184,0.00017748387,0.000028905833,0.00025320094,0.00018998976,8.50824e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025780694,0.000020653551,0.000011760737,0.010052557,0.00004101232,3.4934976e-7,0.00013203327,1.1404652e-7,0.00007055026,0.0003616561,0.013361793,0.97594494],"study_design_scores_gemma":[0.000016166916,0.00004358257,0.00033390717,0.014285456,0.00014035145,0.0000046187115,0.00041084437,5.406467e-7,0.000001014189,0.00006833597,0.984561,0.00013416316],"about_ca_topic_score_codex":0.0000019355646,"about_ca_topic_score_gemma":0.0000023627824,"teacher_disagreement_score":0.97581077,"about_ca_system_score_codex":0.000014021666,"about_ca_system_score_gemma":0.00002273944,"threshold_uncertainty_score":0.70130235},"labels":[],"label_agreement":null},{"id":"W4224211344","doi":"10.3390/app12094181","title":"EEG Oscillatory Power and Complexity for Epileptic Seizure Detection","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université TÉLUQ","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs","keywords":"Electroencephalography; Epileptic seizure; Artificial intelligence; Pattern recognition (psychology); Computer science; SIGNAL (programming language); Decision tree; Random forest; Speech recognition; Psychology; Neuroscience","score_opus":0.052932897462429025,"score_gpt":0.27802424551064375,"score_spread":0.22509134804821473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224211344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98890257,0.000030436866,0.0015167291,0.0004577657,0.00052975654,0.00035379984,0.000020136471,0.0000945088,0.008094305],"genre_scores_gemma":[0.99753964,0.0000014094795,0.0007211171,0.001472615,0.000029365745,0.00008272249,3.977538e-7,0.000006044531,0.00014670726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868613,0.00005403136,0.00013286197,0.000515701,0.0003210513,0.00029023355],"domain_scores_gemma":[0.9994274,0.00031019587,0.00007157881,0.00011948491,0.000010009766,0.00006137244],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00056946377,0.000100996775,0.0001139291,0.00008962635,0.0014710561,0.000111198555,0.00036341132,0.000020270867,0.000103679704],"category_scores_gemma":[0.000047160007,0.000087723114,0.000032559903,0.00034021112,0.0006182632,0.00010731261,0.0002322498,0.00012072474,0.0000076086358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037689446,0.00005347832,0.00014489783,0.000013599284,0.0000026336243,0.0000014561414,0.0011114251,0.0004503527,0.9598795,0.030811338,0.0016452306,0.005848402],"study_design_scores_gemma":[0.0015638586,0.0022696003,0.0065855994,0.0000130114495,0.000023190612,0.00022804704,0.0059343823,0.043052457,0.7396634,0.08853297,0.111004,0.0011294646],"about_ca_topic_score_codex":0.000008197058,"about_ca_topic_score_gemma":0.000011021554,"teacher_disagreement_score":0.22021608,"about_ca_system_score_codex":0.000028765904,"about_ca_system_score_gemma":0.00003584621,"threshold_uncertainty_score":0.9998289},"labels":[],"label_agreement":null},{"id":"W4224233518","doi":"10.3390/app12094157","title":"Problem-Solving in Product Innovation Based on the Cynefin Framework-Aided TRIZ","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"TRIZ; Product (mathematics); Simple (philosophy); Computer science; Chaotic; Key (lock); Bridge (graph theory); Product innovation; Process (computing); Management science; Industrial engineering; Systems engineering; Engineering; Knowledge management; Artificial intelligence; Mathematics","score_opus":0.038215367872691995,"score_gpt":0.26902122893158836,"score_spread":0.23080586105889636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224233518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56750333,0.00012498803,0.010563775,0.02363191,0.001345381,0.0016202318,0.000004378358,0.0004133048,0.39479268],"genre_scores_gemma":[0.99467003,0.0000016018814,0.00365247,0.0013304554,0.00003835394,0.0002309452,0.000002174025,0.0000070817673,0.000066893226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999144,0.00005887223,0.0001589417,0.00017444057,0.00030359952,0.0001601016],"domain_scores_gemma":[0.9992461,0.0005259747,0.000045808265,0.00015676359,0.000013522775,0.00001183746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020723261,0.00006892065,0.00005811141,0.00020838183,0.0003150681,0.00008029015,0.00027467683,0.000014602356,0.000396626],"category_scores_gemma":[0.00019850167,0.00005301361,0.000008485243,0.002688043,0.000047877493,0.000095518066,0.00002012746,0.00031341967,0.00002660971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022356478,0.00012734605,0.0004972016,0.000021113236,0.0000043457835,9.0648507e-7,0.0032070717,0.50036466,0.019457642,0.44342625,0.00821916,0.02465196],"study_design_scores_gemma":[0.0012129018,0.0003793384,0.015143293,0.000116373456,0.000024527873,0.0000107964615,0.019395025,0.46208635,0.0509228,0.15137413,0.29770184,0.0016326332],"about_ca_topic_score_codex":0.000008761081,"about_ca_topic_score_gemma":0.000002865278,"teacher_disagreement_score":0.42716667,"about_ca_system_score_codex":0.000057350804,"about_ca_system_score_gemma":0.000091872345,"threshold_uncertainty_score":0.43427768},"labels":[],"label_agreement":null},{"id":"W4224235115","doi":"10.3390/app12083777","title":"Laser Cooling and Trapping of Rare-Earth-Doped Particles","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Phonon; Laser cooling; Materials science; Doping; Internal energy; Laser; Nanoparticle; Refrigeration; Optoelectronics; Nanotechnology; Chemical physics; Optics; Condensed matter physics; Chemistry; Thermodynamics; Physics","score_opus":0.026737449850529685,"score_gpt":0.24428794517998983,"score_spread":0.21755049532946014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224235115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198705,0.00004604365,0.0010635585,0.00014771661,0.000051185416,0.00009017197,0.0000085225065,0.000034212055,0.0065715355],"genre_scores_gemma":[0.99759305,0.00000207505,0.002278209,0.000034195808,0.00002613928,0.00003118918,9.644629e-7,0.0000033995423,0.000030764317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993751,0.000015590806,0.00015196683,0.00016138366,0.00013815801,0.00015781437],"domain_scores_gemma":[0.9997664,0.000051676583,0.00005935103,0.00009320373,0.000009032909,0.000020317957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310262,0.00005881996,0.00011552723,0.000027527183,0.00034411953,0.00004030507,0.0002085658,0.0000085549555,0.00031186352],"category_scores_gemma":[0.000005110151,0.000047114132,0.000018706054,0.0001602532,0.00031096223,0.00003788714,0.00029308873,0.000060886417,0.0000015480925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079976424,0.00018640225,0.0032705497,0.00003288202,0.000049975013,0.0000013793958,0.000735645,0.008489673,0.34139845,0.5316594,0.00033112091,0.11376453],"study_design_scores_gemma":[0.0008265822,0.00037313454,0.0003876553,0.00002142389,0.000035291112,0.0000022026295,0.019200573,0.018022252,0.84024346,0.11149792,0.008898257,0.00049122557],"about_ca_topic_score_codex":0.000021985405,"about_ca_topic_score_gemma":2.5676061e-7,"teacher_disagreement_score":0.49884504,"about_ca_system_score_codex":0.0000024341402,"about_ca_system_score_gemma":0.000020607466,"threshold_uncertainty_score":0.3414687},"labels":[],"label_agreement":null},{"id":"W4224267685","doi":"10.3390/app12083776","title":"Effect of Catalyst Ink and Formation Process on the Multiscale Structure of Catalyst Layers in PEM Fuel Cells","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Catalysis; Proton exchange membrane fuel cell; Materials science; Chemical engineering; Microstructure; Inkwell; Dispersion (optics); Process (computing); Layer (electronics); Coating; Catalyst support; Nanotechnology; Composite material; Chemistry; Organic chemistry; Computer science; Engineering","score_opus":0.004337992885023393,"score_gpt":0.19919338331436795,"score_spread":0.19485539042934455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224267685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968412,0.00019640358,0.0000021825124,0.000012711238,0.000105526065,0.00023815558,0.000024549068,0.000012103142,0.0025671825],"genre_scores_gemma":[0.99991596,0.000026056707,0.00001665909,0.0000055183386,0.0000054707843,0.00001689906,0.0000058311307,0.0000042901224,0.0000032880585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994566,0.00002277176,0.00015059618,0.00009326099,0.00017834443,0.00009846135],"domain_scores_gemma":[0.9997633,0.00008880908,0.000055393593,0.0000743992,0.0000049557393,0.000013124708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035082828,0.000069748676,0.0001263055,0.000070748836,0.00007967136,0.0000126700415,0.00016077992,0.000027394593,0.000022247175],"category_scores_gemma":[0.000004264627,0.000042238466,0.000011850944,0.0002894809,0.00010900211,0.00005200767,0.000035297224,0.00008374096,8.107186e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021242935,0.000009050661,0.00008280474,0.0010356617,0.0000069159505,4.9794863e-7,0.003465639,0.2229699,0.77186316,0.00012904128,0.0000434338,0.00037266625],"study_design_scores_gemma":[0.00020897537,0.00008965178,0.000103241466,0.000014960371,0.000007739885,0.0000015528731,0.0010102941,0.007731534,0.99056286,0.00016828654,0.00003571034,0.00006519431],"about_ca_topic_score_codex":0.000032529162,"about_ca_topic_score_gemma":0.000016729697,"teacher_disagreement_score":0.21869972,"about_ca_system_score_codex":0.0000127636795,"about_ca_system_score_gemma":0.0000073236924,"threshold_uncertainty_score":0.17224346},"labels":[],"label_agreement":null},{"id":"W4224291601","doi":"10.3390/app12084072","title":"Can AI Automatically Assess Scan Quality of Hip Ultrasound?","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hip disorders and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"Alberta Machine Intelligence Institute; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Sonographer; Ultrasound; Artificial intelligence; Computer science; Cohen's kappa; Convolutional neural network; Kappa; Image quality; Intraclass correlation; Binary classification; Pattern recognition (psychology); Radiology; Medicine; Machine learning; Reproducibility; Image (mathematics); Mathematics; Statistics; Support vector machine","score_opus":0.05008970694259833,"score_gpt":0.35723628347850034,"score_spread":0.307146576535902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224291601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94871527,0.0000350655,0.00005796366,0.0014094575,0.000055217733,0.00024357553,0.000015048847,0.000037742917,0.049430657],"genre_scores_gemma":[0.99802184,0.000001959333,0.0009490008,0.0007413978,0.000009864018,0.000057982223,0.000009850089,0.000004444552,0.00020366519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871576,0.00004205357,0.00021570773,0.00021879318,0.0006175448,0.00019016933],"domain_scores_gemma":[0.99950343,0.00014650672,0.00008209445,0.00016822263,0.000023150717,0.000076589306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061959814,0.00007542893,0.00020988581,0.00006415743,0.00030760956,0.000015961545,0.00016704772,0.000016708864,0.0005434521],"category_scores_gemma":[0.00004709313,0.000058419682,0.00004453973,0.0004631284,0.00032048277,0.000024478353,0.00004936885,0.00008881591,0.0000073958913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014726238,0.002351404,0.6455924,0.00018397991,0.00018672054,0.000018568608,0.0043921955,0.00020461045,0.08178565,0.24642076,0.002422411,0.016294038],"study_design_scores_gemma":[0.0043033827,0.0014780284,0.9132205,0.000030930973,0.00017454344,0.00005442971,0.017528411,0.00044350376,0.014609776,0.045795955,0.0018413163,0.0005192216],"about_ca_topic_score_codex":0.00036141017,"about_ca_topic_score_gemma":0.00007030399,"teacher_disagreement_score":0.2676281,"about_ca_system_score_codex":0.00004882018,"about_ca_system_score_gemma":0.00029018236,"threshold_uncertainty_score":0.595042},"labels":[],"label_agreement":null},{"id":"W4224309117","doi":"10.3390/app12094263","title":"Efficient Algorithms for Linear System Identification with Particular Symmetric Filters","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Computer science; Algorithm; Impulse response; Kronecker product; System identification; Finite impulse response; Identification (biology); Wiener filter; Rank (graph theory); Adaptive filter; Filter (signal processing); Kronecker delta; Mathematical optimization; Mathematics; Data mining","score_opus":0.023644417128177588,"score_gpt":0.24843896936268525,"score_spread":0.22479455223450767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224309117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12290907,0.00007765184,0.8742722,0.000020049883,0.00019506794,0.0006574098,0.000027491553,0.0008613706,0.0009796619],"genre_scores_gemma":[0.9311351,7.836861e-7,0.06782797,0.000010783527,0.000028770715,0.00095603906,0.0000060308203,0.000017140077,0.00001734494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990016,0.000010147267,0.00016148758,0.00026364758,0.00032330267,0.00023977653],"domain_scores_gemma":[0.999661,0.000060474038,0.00004935566,0.00016894827,0.000022429322,0.000037761212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004550132,0.00010424396,0.0001097244,0.00017021898,0.0003980952,0.000034573175,0.00028670274,0.000014292796,0.000004760964],"category_scores_gemma":[0.000007550436,0.00009171525,0.000025232546,0.00084979966,0.000093327064,0.000035170502,0.00005472271,0.00007320301,0.0000052252135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005982814,0.000013177313,0.000009112905,0.000042921132,0.00000883011,0.0000012851132,0.00010919399,0.9597897,0.020333033,0.01758469,0.00008035444,0.0020217395],"study_design_scores_gemma":[0.00014790003,0.00010958456,0.00008965731,0.000010772371,0.000011901378,0.000008183143,0.00088765216,0.9408045,0.055760413,0.00016843367,0.0018057245,0.00019526957],"about_ca_topic_score_codex":0.0000020214486,"about_ca_topic_score_gemma":2.975723e-7,"teacher_disagreement_score":0.80822605,"about_ca_system_score_codex":0.000142426,"about_ca_system_score_gemma":0.000014059329,"threshold_uncertainty_score":0.37400395},"labels":[],"label_agreement":null},{"id":"W4224310237","doi":"10.3390/app12094281","title":"Structure (Epicardial Stenosis) and Function (Microvascular Dysfunction) That Influence Coronary Fractional Flow Reserve Estimation","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canarie","keywords":"Fractional flow reserve; Stenosis; Coronary flow reserve; Cardiology; Medicine; Internal medicine; Blood flow; Coronary artery disease; Hemodynamics; Coronary arteries; Flow (mathematics); Radiology; Mathematics; Artery; Myocardial infarction; Coronary angiography; Geometry","score_opus":0.015620845596674919,"score_gpt":0.2546940465842117,"score_spread":0.23907320098753676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224310237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460036,0.00022541372,0.0028774817,0.0006934874,0.00042586273,0.00032740168,0.000036847792,0.000053172065,0.00075995125],"genre_scores_gemma":[0.9967368,0.000019371259,0.0022417773,0.00064013567,0.00007038374,0.00008343167,0.00010556768,0.000007369637,0.00009510974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986517,0.000040542636,0.00017434653,0.0003571192,0.00060714677,0.00016917569],"domain_scores_gemma":[0.99948144,0.0001408282,0.000082263876,0.00016615083,0.00005318647,0.000076109616],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003192982,0.00011294309,0.0001468613,0.00013783874,0.00093522546,0.00005733202,0.000094475516,0.000041867086,0.0009828971],"category_scores_gemma":[0.00005673669,0.000102744554,0.000072170835,0.000348555,0.00022480852,0.00023303853,0.00013947346,0.00022734393,0.000012278735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001653348,0.00063341117,0.53767747,0.00016916332,0.00037552408,0.00006498049,0.0006239332,0.27518857,0.015771661,0.015684837,0.008423254,0.14373384],"study_design_scores_gemma":[0.001152086,0.00078372273,0.9737028,0.000021242073,0.00016670673,0.00023722203,0.0011047497,0.010024858,0.00060443126,0.004107683,0.0079146335,0.00017986336],"about_ca_topic_score_codex":0.00005486637,"about_ca_topic_score_gemma":0.000014725083,"teacher_disagreement_score":0.43602532,"about_ca_system_score_codex":0.000083023246,"about_ca_system_score_gemma":0.000111125024,"threshold_uncertainty_score":0.9999303},"labels":[],"label_agreement":null},{"id":"W4224311508","doi":"10.3390/app12094261","title":"Perceptual Judgments for Table Tennis Serve Recognition: An Event-Related Potentials Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Athletes; Psychology; Perception; Table (database); Cognition; Cognitive psychology; Computer science; Communication; Neuroscience; Medicine; Physical therapy","score_opus":0.2751481275260655,"score_gpt":0.4026981380305615,"score_spread":0.127550010504496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224311508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591947,0.000012046571,0.000007278819,0.00044194347,0.00075381796,0.0011740617,0.00008564326,0.000105094565,0.0015006769],"genre_scores_gemma":[0.9971323,0.000002050178,0.00008342354,0.0010575694,0.00004071606,0.00072443334,0.000009100816,0.000010003957,0.000940419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777186,0.00015086036,0.0002839975,0.0008693575,0.0005098913,0.00041405216],"domain_scores_gemma":[0.99951416,0.00008732481,0.00012391765,0.00017655129,0.00002610901,0.000071921335],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007100045,0.00015796679,0.00019396876,0.00009814662,0.0028782464,0.00008598685,0.00059939263,0.000026508691,0.0006993957],"category_scores_gemma":[0.000026463133,0.00012840037,0.000052135707,0.00078395754,0.00041632933,0.00025088154,0.00025627203,0.00015770532,0.000063214255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012428139,0.0023327018,0.0053347545,0.000004239958,0.000011908935,0.00002099343,0.002624841,0.00019474204,0.97626257,0.00026302476,0.0026406462,0.010185292],"study_design_scores_gemma":[0.014359953,0.030894425,0.06294518,0.000022887369,0.000611604,0.00029487323,0.24761254,0.00088130834,0.57884985,0.04930438,0.010339613,0.0038833623],"about_ca_topic_score_codex":0.00003001558,"about_ca_topic_score_gemma":0.000016549588,"teacher_disagreement_score":0.3974127,"about_ca_system_score_codex":0.000024996949,"about_ca_system_score_gemma":0.00003024996,"threshold_uncertainty_score":0.9984199},"labels":[],"label_agreement":null},{"id":"W4224313203","doi":"10.3390/app12094241","title":"3He/4He Signature of Magmatic Fluids from Telica (Nicaragua) and Baru (Panama) Volcanoes, Central American Volcanic Arc","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Istituto Nazionale di Geofisica e Vulcanologia; Ministero dell’Istruzione, dell’Università e della Ricerca; Fonds Québécois de la Recherche sur la Nature et les Technologies; Agencia Nacional de Investigación y Desarrollo; Istituto Nazionale Previdenza Sociale","keywords":"Geology; Geochemistry; Volcano; Radiogenic nuclide; Mantle (geology); Mantle wedge; Crust; Subduction; Seismology; Tectonics","score_opus":0.007846231762131325,"score_gpt":0.18310752449560397,"score_spread":0.17526129273347263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224313203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99004614,0.0010154839,0.000035133413,0.0010289128,0.000067189416,0.00012499577,0.00018574222,0.000031368018,0.0074650296],"genre_scores_gemma":[0.99757034,0.000050636532,0.0014983325,0.0006866499,0.000047145822,0.0000055134624,0.00008488953,0.0000018503143,0.000054652435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979249,0.000086281405,0.00029437747,0.0005440239,0.0006721829,0.0004782298],"domain_scores_gemma":[0.999095,0.0003321924,0.00015368056,0.00019228259,0.000018519257,0.00020831304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035124313,0.00016961168,0.00036397032,0.00008565086,0.00046825092,0.000049396604,0.0006666531,0.000035173573,0.009178359],"category_scores_gemma":[0.000045330205,0.00011882726,0.00008544302,0.0011329483,0.0011929234,0.000067566485,0.00011972988,0.00025871582,0.000025062065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012212848,0.00014736576,0.86342424,0.00003160154,0.0001283481,0.000018567329,0.001056921,0.009152119,0.034936376,0.002263192,0.002233399,0.08648575],"study_design_scores_gemma":[0.00031861576,0.0004877699,0.923327,0.0000075072858,0.00010598167,0.000007636148,0.0040241894,0.027134022,0.00201815,0.038784552,0.003302917,0.0004816066],"about_ca_topic_score_codex":0.008823125,"about_ca_topic_score_gemma":0.0027876976,"teacher_disagreement_score":0.086004145,"about_ca_system_score_codex":0.00000575357,"about_ca_system_score_gemma":0.00006671768,"threshold_uncertainty_score":0.9977772},"labels":[],"label_agreement":null},{"id":"W4224314958","doi":"10.3390/app12094276","title":"Experimental Characterization of the Engineering Properties of Landfill Compost-Biocover","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Compost; Hydraulic conductivity; Environmental science; Methane; Water content; Waste management; Environmental engineering; Soil science; Soil water; Geotechnical engineering; Chemistry; Engineering","score_opus":0.012329565702426347,"score_gpt":0.18279469772849305,"score_spread":0.1704651320260667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224314958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628407,0.000020233676,0.0000061497385,0.00006787757,0.00007918628,0.00020066061,0.000014148139,0.000008211672,0.0033194805],"genre_scores_gemma":[0.9997563,0.0000015022173,0.000053455296,0.00007857618,0.0000054591096,0.00003875017,0.0000015107861,0.000004255026,0.000060196973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915594,0.000016066891,0.00013783286,0.00013761326,0.00042887894,0.0001236439],"domain_scores_gemma":[0.9997614,0.000009486236,0.00010136924,0.00011028737,9.556818e-7,0.00001650778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015551329,0.000070772214,0.000094986484,0.000016300399,0.00026140347,0.000006134394,0.00026473877,0.000008820414,0.0004557644],"category_scores_gemma":[0.0000039301976,0.00004395417,0.000028731722,0.0002343504,0.00045926898,0.0000833844,0.000674962,0.00004451423,0.000005892536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070491146,0.000054803302,0.014106766,0.0000031158527,0.0000034216225,7.272088e-8,0.0009260968,0.0037366832,0.9810463,0.00006140057,0.000012798387,0.000041485288],"study_design_scores_gemma":[0.00010622279,0.00005304427,0.061044667,0.0000032702105,0.0000032043986,0.000002157896,0.00034066752,0.00046204336,0.9376242,0.0000060722195,0.0002904232,0.000063982654],"about_ca_topic_score_codex":0.00008449084,"about_ca_topic_score_gemma":8.101446e-7,"teacher_disagreement_score":0.0469379,"about_ca_system_score_codex":0.00006214503,"about_ca_system_score_gemma":0.00000479813,"threshold_uncertainty_score":0.49903005},"labels":[],"label_agreement":null},{"id":"W4225147078","doi":"10.3390/app12094504","title":"Editorial of the Special Issue “Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity”","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Induced seismicity; Geology; Seismology","score_opus":0.021491907486614066,"score_gpt":0.20248138238873947,"score_spread":0.1809894749021254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225147078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97506374,0.00010253162,0.00008133924,0.0010918926,0.011536371,0.000602603,0.00035275015,0.000011718814,0.011157057],"genre_scores_gemma":[0.99234813,0.000008541132,0.00017732382,0.0003097269,0.0071094274,0.000008005217,0.000009384731,0.0000014184213,0.000028059701],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988717,0.000048121772,0.00019087337,0.00018012935,0.0005587053,0.00015050132],"domain_scores_gemma":[0.9996059,0.00011086323,0.00012573457,0.00010418232,0.000028911107,0.000024407396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056132843,0.000078099474,0.00013048139,0.00003779476,0.0006940521,0.000027889784,0.0003156177,0.000016741462,0.00042788225],"category_scores_gemma":[0.000028581531,0.000042145773,0.000018874214,0.00033590003,0.0004634054,0.0000315315,0.00008905019,0.000102500664,0.000015977383],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027250324,0.000068715526,0.09396731,0.00007795537,0.00005314147,6.4114283e-7,0.016776875,0.004674435,0.00042038778,0.00067628565,0.2312149,0.6517969],"study_design_scores_gemma":[0.0014099618,0.0013238284,0.31237656,0.000055339162,0.00012872698,0.0000110615965,0.03601035,0.0022476856,0.015862744,0.012111957,0.61760044,0.00086137163],"about_ca_topic_score_codex":0.0018401006,"about_ca_topic_score_gemma":0.0018418989,"teacher_disagreement_score":0.6509355,"about_ca_system_score_codex":0.0000023720786,"about_ca_system_score_gemma":0.000068326786,"threshold_uncertainty_score":0.53381574},"labels":[],"label_agreement":null},{"id":"W4225247762","doi":"10.3390/app12094562","title":"Multi-View 3D Transesophageal Echocardiography Registration and Volume Compounding for Mitral Valve Procedure Planning","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Chordae tendineae; Compounding; Mitral valve; Ventricle; Mechanical valve; Artificial intelligence; Medicine; Computer vision; Biomedical engineering; Computer science; Radiology; Cardiology","score_opus":0.03407333713154135,"score_gpt":0.34369675357045154,"score_spread":0.30962341643891017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225247762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906601,0.0045595244,0.0016281742,0.00016786426,0.00015213243,0.001271494,0.00007847427,0.000068309564,0.001413928],"genre_scores_gemma":[0.9943865,0.000018999004,0.0048718094,0.00021137085,0.000059373877,0.00033669724,0.000061738465,0.000008788333,0.000044744746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989804,0.000015666697,0.00013883619,0.00034714228,0.00030032,0.00021761515],"domain_scores_gemma":[0.9997037,0.00003917153,0.000057897727,0.000086223416,0.000017413475,0.0000955766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028662325,0.000111397065,0.00020671274,0.000103285405,0.000748029,0.00005392193,0.00006556167,0.000021058808,0.000011780965],"category_scores_gemma":[0.000007687369,0.000098599674,0.000578576,0.00031848846,0.00014687119,0.000060661805,0.000019336483,0.000074061005,8.334419e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033510328,0.0003309951,0.9857439,0.00031297677,0.0009286045,0.000017688717,0.0015454092,0.0009002567,0.0016477028,0.0009923705,0.00097084075,0.0062741926],"study_design_scores_gemma":[0.0033826707,0.00062893523,0.98640096,0.000047915622,0.0012183905,0.000045323886,0.0031582748,0.0028658388,0.000084003375,0.00034408906,0.001573504,0.0002501017],"about_ca_topic_score_codex":0.000011722801,"about_ca_topic_score_gemma":5.45096e-7,"teacher_disagreement_score":0.0060240906,"about_ca_system_score_codex":0.00003024371,"about_ca_system_score_gemma":0.00008353502,"threshold_uncertainty_score":0.575331},"labels":[],"label_agreement":null},{"id":"W4225368707","doi":"10.3390/app12094620","title":"Nuclear Magnetic Resonance Spectroscopy Analysis of Anaerobic Microbial Metabolic Response to Benzalkonium Chloride Disinfectant","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Benzalkonium chloride; Anaerobic exercise; Anaerobic digestion; Biogas; Wastewater; Bioreactor; Methanogenesis; Pulp and paper industry; Metabolic pathway; Methane; Food science; Waste management; Biochemistry; Metabolism; Chromatography; Environmental science; Biology; Organic chemistry; Environmental engineering; Physiology","score_opus":0.004951172210766334,"score_gpt":0.20727688281572848,"score_spread":0.20232571060496216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225368707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952315,0.00013307693,0.000027479937,0.00027574511,0.000034970337,0.00013584712,0.00004836049,0.000023434266,0.004089552],"genre_scores_gemma":[0.99728143,0.000021670192,0.0018906638,0.00042970123,0.000014387011,0.000030152805,0.000006225847,0.000010289013,0.00031547886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978018,0.00008223103,0.00031628594,0.0006803343,0.0007163344,0.00040304475],"domain_scores_gemma":[0.99926585,0.00007789891,0.00012588543,0.00039416843,0.0000021676158,0.00013404131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095896964,0.00017699189,0.00034978543,0.00018931774,0.00066736614,0.000037828187,0.00080693077,0.000026481855,0.0093952315],"category_scores_gemma":[0.000019428802,0.00017023092,0.00017560099,0.0042412938,0.0006345853,0.000086170025,0.00069599133,0.00013788999,0.00011086634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023832255,0.000104249004,0.0101997,0.0000010986586,0.000031427917,0.0000030739052,0.0003883595,0.018475326,0.9698096,0.00021474225,0.00016458971,0.00036954356],"study_design_scores_gemma":[0.0003206938,0.00037087314,0.23238957,0.0000029544842,0.00060736213,0.00000441132,0.0011738989,0.0010475738,0.7340008,0.0001487704,0.029415887,0.0005172121],"about_ca_topic_score_codex":0.00018535643,"about_ca_topic_score_gemma":0.00006151054,"teacher_disagreement_score":0.23580877,"about_ca_system_score_codex":0.00015132931,"about_ca_system_score_gemma":0.000015203434,"threshold_uncertainty_score":0.99151033},"labels":[],"label_agreement":null},{"id":"W4225966175","doi":"10.3390/app12010307","title":"Using a Human Circulation Mathematical Model to Simulate the Effects of Hemodialysis and Therapeutic Hypothermia","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Hospital; Lawson Health Research Institute; Western University","funders":"Canarie","keywords":"Medicine; Hypothermia; Atrial fibrillation; Cardiology; Blood pressure; Hemodialysis; Dialysis; Population; Heart rate; Internal medicine; Anesthesia","score_opus":0.05428329405627077,"score_gpt":0.32423019643877143,"score_spread":0.2699469023825007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225966175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848143,0.00011135822,0.009754859,0.0002515765,0.000008728718,0.00025174976,2.8253828e-7,0.000007535459,0.004799595],"genre_scores_gemma":[0.99749607,0.0000030666783,0.0019129796,0.00051018444,0.000015645464,0.0000088092465,4.6606183e-7,0.000004091055,0.000048702805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993023,0.00002079825,0.00012793283,0.00017452193,0.0002742074,0.00010021687],"domain_scores_gemma":[0.99964803,0.00009335225,0.000038671213,0.00014459992,0.000024685363,0.000050630726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025266988,0.00006165842,0.00016430921,0.000054847867,0.00013924083,0.000032779666,0.00005826105,0.000016564043,0.000015701879],"category_scores_gemma":[0.000025962436,0.00003520508,0.000050700215,0.00034432104,0.00013856344,0.000013917206,0.000049001654,0.00002448584,0.0000025353283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013999549,0.00017066817,0.00044508156,0.00028393426,0.0001423866,0.0000052353703,0.0014269599,0.06569571,0.8733509,0.046366222,0.000008281367,0.0120906],"study_design_scores_gemma":[0.0006386475,0.00005648825,0.010944409,0.0001280268,0.0009037683,0.0000029712155,0.00047885196,0.91385734,0.024760058,0.04807143,0.000015542297,0.0001424443],"about_ca_topic_score_codex":0.0000026756984,"about_ca_topic_score_gemma":0.0000011248247,"teacher_disagreement_score":0.84859085,"about_ca_system_score_codex":0.000009848178,"about_ca_system_score_gemma":0.00003190477,"threshold_uncertainty_score":0.14356215},"labels":[],"label_agreement":null},{"id":"W4226213018","doi":"10.3390/app12041978","title":"Time-Resolved Imaging of Femtosecond Laser-Induced Plasma Expansion in a Nitrogen Microjet","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Consiglio Nazionale delle Ricerche; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Femtosecond; Laser; Materials science; Plasma; Ultrashort pulse; Nanosecond; Surface micromachining; X-ray laser; Temporal resolution; Optics; Optoelectronics; Laser power scaling; Physics","score_opus":0.013581267818769026,"score_gpt":0.25453528753053895,"score_spread":0.2409540197117699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226213018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98186374,0.000002592641,0.00007082636,0.00023140432,0.000042026055,0.0001865182,0.00006518408,0.000012956772,0.017524783],"genre_scores_gemma":[0.999097,9.048729e-8,0.00042166308,0.00008477343,0.000029143854,0.0002102955,0.00002810612,0.0000064418928,0.0001225241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991477,0.000024543944,0.00021634923,0.0002583007,0.0001637541,0.00018932072],"domain_scores_gemma":[0.9996117,0.000071768714,0.00011146998,0.00015911057,0.0000139474505,0.000032015134],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022362912,0.000087186556,0.00012455526,0.0001251521,0.00034544626,0.000035753943,0.00030355458,0.0000070228566,0.0018625596],"category_scores_gemma":[8.63692e-7,0.000083333565,0.00004455826,0.0004611246,0.00009353264,0.00009567884,0.00014480704,0.00011998509,0.000067155044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018365803,0.00041220087,0.015920384,0.000004696907,0.000016410828,8.342768e-7,0.0009839905,0.0012208348,0.9564872,0.00658194,0.0023682127,0.015984975],"study_design_scores_gemma":[0.0014519595,0.000087511224,0.0015407682,0.00002069259,0.000026138146,0.0000052360665,0.018168444,0.01775977,0.93207395,0.015101066,0.0132176755,0.0005467722],"about_ca_topic_score_codex":0.0002965401,"about_ca_topic_score_gemma":0.000011969662,"teacher_disagreement_score":0.024413189,"about_ca_system_score_codex":0.000020915812,"about_ca_system_score_gemma":0.00007189314,"threshold_uncertainty_score":0.9990499},"labels":[],"label_agreement":null},{"id":"W4226255287","doi":"10.3390/app12073663","title":"Investigation of the Power Quality Concerns of Input Current in Single-Phase Frequency Step-Down Converter","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Converters; Transformer; Pulse-width modulation; Electromagnetic interference; EMI; Rectification; Capacitor; Voltage; Electronic engineering; Computer science; Control theory (sociology); Electrical engineering; Engineering; Control (management)","score_opus":0.06466916047718393,"score_gpt":0.288362378212357,"score_spread":0.22369321773517306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226255287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99576765,0.00013179626,0.0012362989,0.000068963825,0.00055028906,0.00022176761,0.000029964365,0.000021976977,0.0019712928],"genre_scores_gemma":[0.9997388,0.0000034186985,0.00009279873,0.00011166796,0.0000074551117,0.000034269204,0.0000022720294,0.000005158549,0.0000041595686],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988936,0.000055797103,0.0003573855,0.00016437573,0.00037227132,0.00015653021],"domain_scores_gemma":[0.999602,0.00005656473,0.000110808265,0.00018167046,0.000017126516,0.000031788677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004344145,0.0000915117,0.0001637539,0.0000776134,0.000078850884,0.00001063427,0.00039898124,0.000020349504,0.00016030035],"category_scores_gemma":[0.000008451561,0.00007159999,0.00004212167,0.00045078358,0.0004111315,0.00007857348,0.00007848487,0.00013388025,0.0000015291697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003414881,0.00023082091,0.08970518,0.0002490731,0.000040234758,0.000001114066,0.022872396,0.0033393481,0.749427,0.04572932,0.001707479,0.08666384],"study_design_scores_gemma":[0.006875054,0.0005969703,0.10401301,0.00022784322,0.000056539215,0.0000049896184,0.019149369,0.46770558,0.38056684,0.016609587,0.0026938422,0.0015003836],"about_ca_topic_score_codex":0.00013661769,"about_ca_topic_score_gemma":0.00002916725,"teacher_disagreement_score":0.46436623,"about_ca_system_score_codex":0.00006276896,"about_ca_system_score_gemma":0.000067070985,"threshold_uncertainty_score":0.29197627},"labels":[],"label_agreement":null},{"id":"W4226414023","doi":"10.3390/app12010371","title":"Measurement of Adult Human Brain Responses to Breath-Holding by Multi-Distance Hyperspectral Near-Infrared Spectroscopy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Scalp; Near-infrared spectroscopy; Hyperspectral imaging; Hemodynamics; Medicine; Biomedical engineering; Cardiology; Psychology; Neuroscience; Anatomy; Artificial intelligence; Computer science","score_opus":0.03182155740552609,"score_gpt":0.34111615983713445,"score_spread":0.30929460243160833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226414023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429799,0.000466022,0.0149004795,0.006173832,0.000071230555,0.00048230204,0.000017467786,0.0002726521,0.034636132],"genre_scores_gemma":[0.8385617,0.00001253041,0.15940674,0.0011179115,0.000034531717,0.000029710167,0.000002976636,0.000014332108,0.00081953214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977506,0.000042488602,0.00032969244,0.0005814553,0.0008308926,0.00046486632],"domain_scores_gemma":[0.9990637,0.000064357875,0.000077092685,0.00035355368,0.00023694732,0.00020436285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006636771,0.0001865617,0.00037454686,0.000093921466,0.0003177807,0.000115918636,0.00023319165,0.00005581902,0.00006186245],"category_scores_gemma":[0.00039823115,0.00016307236,0.00008048314,0.00070363854,0.00055179215,0.00007305483,0.000061778075,0.00018319045,0.000009664809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008833805,0.00020219604,0.0024894145,0.000027426951,0.000014801603,0.000014549954,0.0003229293,0.0000011270029,0.9803221,0.010897139,0.0054818466,0.00013808049],"study_design_scores_gemma":[0.00055912446,0.00039605395,0.003659988,0.00015626676,0.000026347794,0.000015303523,0.0006720504,0.0001232517,0.992467,0.0006016447,0.0011340277,0.00018895416],"about_ca_topic_score_codex":0.000052185933,"about_ca_topic_score_gemma":0.00002013293,"teacher_disagreement_score":0.14450626,"about_ca_system_score_codex":0.00015934235,"about_ca_system_score_gemma":0.00027277754,"threshold_uncertainty_score":0.66498977},"labels":[],"label_agreement":null},{"id":"W4228998549","doi":"10.3390/app12094646","title":"Dento-Skeletal Class III Treatment with Mixed Anchored Palatal Expander: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dentistry; Cochrane Library; Orthodontics; Randomized controlled trial; Surgery","score_opus":0.07092733323683888,"score_gpt":0.33995008675440735,"score_spread":0.2690227535175685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4228998549","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000053382246,0.9855353,0.00008359539,0.0000086294485,0.000685132,0.004721354,0.00011708439,0.00012360586,0.0086718965],"genre_scores_gemma":[0.00016537218,0.9945143,0.00016448059,0.000102325874,0.00015468035,0.0026054431,0.00023958588,0.00006748081,0.0019863448],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99434376,0.00030695982,0.001477224,0.0012640592,0.0018885756,0.0007193963],"domain_scores_gemma":[0.9969287,0.00043652195,0.0013472775,0.0009816168,0.000039704377,0.00026621416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001520924,0.00087099953,0.004107168,0.00025774553,0.0007512063,0.00040038093,0.0011195396,0.00020251052,0.0005270102],"category_scores_gemma":[0.000060785977,0.0005315261,0.0008564296,0.0015461731,0.0003961393,0.00013384163,0.00031230674,0.0003798069,0.00035124214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010031495,0.00029304405,0.000054035347,0.79089576,0.00084877375,0.00057400385,0.00011108494,0.0000012354252,4.0016252e-7,0.0030131093,0.0009632464,0.2032353],"study_design_scores_gemma":[0.00046173585,0.00033604947,0.000002742675,0.089749485,0.0058431127,0.00042300732,0.00019121122,0.0000051209427,4.3654202e-7,0.000010700582,0.9021517,0.00082469493],"about_ca_topic_score_codex":0.00004605167,"about_ca_topic_score_gemma":0.0002322699,"teacher_disagreement_score":0.90118843,"about_ca_system_score_codex":0.00032754525,"about_ca_system_score_gemma":0.0007690809,"threshold_uncertainty_score":0.9997136},"labels":[],"label_agreement":null},{"id":"W4229001174","doi":"10.3390/app12031021","title":"A CNN-RNN Combined Structure for Real-World Violence Detection in Surveillance Cameras","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Anomaly detection; Convolutional neural network; Artificial intelligence; Computer vision; Computer security","score_opus":0.012839334489911942,"score_gpt":0.2614424929308597,"score_spread":0.24860315844094774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229001174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40854076,0.00003893845,0.58328664,0.0009913642,0.00037568226,0.0014725457,0.000027461494,0.0005763886,0.0046902373],"genre_scores_gemma":[0.98499024,0.000011326743,0.013795042,0.00026523956,0.000028212948,0.0008186204,0.000002523893,0.0000056100857,0.000083179315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985702,0.000040746556,0.00023202845,0.0005658466,0.00030106114,0.00029008993],"domain_scores_gemma":[0.99933356,0.0001237688,0.00013724457,0.00032902876,0.000030348192,0.00004603284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006034482,0.00011450654,0.00014312506,0.0002539876,0.000939676,0.00010544454,0.001044146,0.000026294649,0.000025274741],"category_scores_gemma":[0.000008930959,0.00011294573,0.000039549683,0.002262009,0.00013256099,0.00015113637,0.00024859793,0.00012849728,0.0000028222748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048043592,0.00012883478,0.004248623,0.000018148983,0.000007164895,0.0000017014924,0.00050545327,0.0045973123,0.07169013,0.7128896,0.00047478644,0.2053902],"study_design_scores_gemma":[0.0016140398,0.0012186313,0.058906186,0.000022788661,0.0000079068495,0.000025901281,0.00092999265,0.24189116,0.1855768,0.480208,0.028130922,0.0014676529],"about_ca_topic_score_codex":0.00036135913,"about_ca_topic_score_gemma":0.0009836623,"teacher_disagreement_score":0.57644945,"about_ca_system_score_codex":0.00010655711,"about_ca_system_score_gemma":0.00008414233,"threshold_uncertainty_score":0.7227323},"labels":[],"label_agreement":null},{"id":"W4229005829","doi":"10.3390/app12094664","title":"Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Malware; Android (operating system); Computer science; Android malware; Machine learning; Artificial intelligence; Mobile malware; Support vector machine; Data mining; Computer security; Operating system","score_opus":0.03652038637443307,"score_gpt":0.31449570163203155,"score_spread":0.2779753152575985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229005829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14819711,0.000042569252,0.85095716,0.00013771423,0.000069329435,0.00030261325,0.000019660767,0.00014530428,0.00012852642],"genre_scores_gemma":[0.9603471,0.0000045531688,0.039137013,0.00010040473,0.000011490955,0.00037227845,0.000004197355,0.000003934482,0.00001898975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986582,0.000039155446,0.0002527479,0.00048175958,0.00035463544,0.0002135416],"domain_scores_gemma":[0.9991738,0.00027703264,0.000209834,0.00020137892,0.00008913863,0.00004881013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071095873,0.000097081116,0.00020759087,0.00052440696,0.0010989062,0.00008736275,0.000521065,0.00002856393,0.000011843486],"category_scores_gemma":[0.00007057663,0.00009665973,0.000072863884,0.003197698,0.00009925672,0.00031613532,0.00032495233,0.00008623871,4.334063e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010256977,0.00028209545,0.0053819926,0.000083272076,0.00044940386,0.0000023335417,0.005338668,0.1148909,0.5885492,0.21178366,0.00015473383,0.07298114],"study_design_scores_gemma":[0.00048657766,0.00075035484,0.017898591,0.0000050530225,0.00020901486,0.000013093864,0.00061509485,0.45284656,0.49460763,0.03057311,0.001516158,0.0004787918],"about_ca_topic_score_codex":0.000009238403,"about_ca_topic_score_gemma":0.00006203826,"teacher_disagreement_score":0.81215,"about_ca_system_score_codex":0.000054888464,"about_ca_system_score_gemma":0.000063485655,"threshold_uncertainty_score":0.84520084},"labels":[],"label_agreement":null},{"id":"W4229011886","doi":"10.3390/app12094626","title":"Microfabrication Bonding Process Optimization for a 3D Multi-Layer PDMS Suspended Microfluidics","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microfluidics; Microfabrication; Polydimethylsiloxane; Soft lithography; Nanotechnology; Materials science; Cleanroom; Fabrication; Lithography; PDMS stamp; Optoelectronics","score_opus":0.023243859357844465,"score_gpt":0.2571155816149928,"score_spread":0.23387172225714836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229011886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18743767,0.016952854,0.78608423,0.00043084877,0.00032797226,0.0023388981,0.00008234208,0.0006910593,0.0056540957],"genre_scores_gemma":[0.9779761,0.0013385009,0.018596396,0.00017381736,0.00005657251,0.0015440789,0.00010524444,0.000037364134,0.00017196375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880767,0.000013288312,0.00024255615,0.00035250606,0.00023431881,0.00034968278],"domain_scores_gemma":[0.9996254,0.000045963003,0.00006394553,0.00017180797,0.0000402389,0.000052681877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780218,0.00014764152,0.00013706938,0.00015068424,0.0009855321,0.00006915436,0.00041107598,0.00004034038,0.00020439235],"category_scores_gemma":[0.000007687425,0.00015772248,0.000040955205,0.0008572374,0.00009116718,0.00009165133,0.000047766192,0.00011315787,0.000009658023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009484732,0.000050941162,0.000035444733,0.000032105527,0.000015321688,1.7777407e-7,0.00050916354,0.030107182,0.9357682,0.008497003,0.023416974,0.0015580307],"study_design_scores_gemma":[0.00074188854,0.0000812614,0.00003507862,0.0000050246167,0.00004495333,0.000015751955,0.0019004081,0.23809166,0.6467671,0.0011495837,0.110604174,0.0005631565],"about_ca_topic_score_codex":0.000003339108,"about_ca_topic_score_gemma":5.275975e-7,"teacher_disagreement_score":0.7905384,"about_ca_system_score_codex":0.00011945361,"about_ca_system_score_gemma":0.00007581961,"threshold_uncertainty_score":0.7580015},"labels":[],"label_agreement":null},{"id":"W4229067269","doi":"10.3390/app12073344","title":"Mechanical Performance of Curved Link-Slab of Simply Supported Bridge Beam","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"CLs upper limits; Structural engineering; Slab; Arch; Finite element method; Ultimate tensile strength; Materials science; Cracking; Stress (linguistics); Arch bridge; Beam (structure); Parametric statistics; Composite material; Mathematics; Engineering","score_opus":0.020608073634309897,"score_gpt":0.2350342038681887,"score_spread":0.21442613023387883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229067269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977515,0.000023479222,0.00010534531,0.000019918187,0.0001909966,0.00014823592,0.00001914055,0.00008858164,0.0016528275],"genre_scores_gemma":[0.99913347,0.000008040511,0.0007607248,0.000021904218,0.00001745238,0.000023248089,0.000007179502,0.000009508976,0.000018465797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988072,0.0000072358685,0.00029972926,0.00016813808,0.00048148606,0.00023621325],"domain_scores_gemma":[0.99961185,0.000045015295,0.00008266219,0.00019113888,0.000022955208,0.000046374156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030260024,0.00010658141,0.0002035592,0.000100015044,0.00017622628,0.000007252148,0.0005202222,0.000031440894,0.0002685103],"category_scores_gemma":[0.000008629466,0.000101434845,0.000048846785,0.00055842457,0.00018248953,0.0000859291,0.00017797096,0.00015434748,0.0000036713752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001798434,0.0000011494421,0.00090100896,0.000042658092,0.000014476353,0.0000011273218,0.00043983402,0.034873493,0.9504347,0.0029602533,0.0001136705,0.010199668],"study_design_scores_gemma":[0.00028838232,0.00022232109,0.008421249,0.0000052684636,0.00001849823,0.000009915137,0.00017300258,0.030007295,0.96003264,0.00011784473,0.0005036976,0.00019990791],"about_ca_topic_score_codex":0.000022411421,"about_ca_topic_score_gemma":6.3797484e-7,"teacher_disagreement_score":0.0099997595,"about_ca_system_score_codex":0.000026663694,"about_ca_system_score_gemma":0.000048436883,"threshold_uncertainty_score":0.4136393},"labels":[],"label_agreement":null},{"id":"W4229451338","doi":"10.3390/app12094766","title":"A Numerical Simulation Study of the Impact of Microchannels on Fluid Flow through the Cement–Rock Interface","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microchannel; Volumetric flow rate; Volume of fluid method; Flow (mathematics); Materials science; Mechanics; Volume (thermodynamics); Geotechnical engineering; Contact angle; Permeability (electromagnetism); Finite element method; Finite volume method; Fluid dynamics; Petroleum engineering; Geology; Composite material; Chemistry; Thermodynamics; Engineering; Structural engineering; Nanotechnology","score_opus":0.021236493074734585,"score_gpt":0.27269913390086453,"score_spread":0.25146264082612996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229451338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972294,0.000059410384,0.0256642,0.000012667324,0.00019180137,0.0002621561,0.000003941154,0.00003734367,0.0014745162],"genre_scores_gemma":[0.9998853,0.0000011938272,0.000054477714,0.0000065985073,0.000017245848,0.000019151694,2.6688974e-7,0.0000072400626,0.000008518279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993191,0.00001915005,0.00015304254,0.00011078808,0.00026949338,0.00012845623],"domain_scores_gemma":[0.9996801,0.00010060921,0.000036996797,0.00016324129,0.00000816133,0.00001091273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019162825,0.00008175903,0.00010591923,0.00002894201,0.00018124685,0.000012085951,0.0003604157,0.000009797867,0.00002695838],"category_scores_gemma":[0.0000071036925,0.000045831475,0.00004575562,0.0004727277,0.00003117284,0.000029529923,0.00006843998,0.000103519684,0.0000019052062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072087532,0.00005384713,0.000044965018,0.0000044845397,0.000018762308,4.637831e-8,0.0045078136,0.98536116,0.009691048,0.0000442319,0.000058128262,0.00020833315],"study_design_scores_gemma":[0.00012578642,0.00025462353,0.00019430791,0.0000057482284,0.00000588675,3.6990912e-7,0.0020826303,0.98389846,0.013219415,0.00009577002,0.000059115915,0.000057875135],"about_ca_topic_score_codex":0.00005245265,"about_ca_topic_score_gemma":7.8601886e-7,"teacher_disagreement_score":0.027591342,"about_ca_system_score_codex":0.000035237605,"about_ca_system_score_gemma":0.000011379642,"threshold_uncertainty_score":0.18689533},"labels":[],"label_agreement":null},{"id":"W4229454006","doi":"10.3390/app12094771","title":"Natural Stones with a Self-Cleaning Surface via Self-Assembled Monolayers","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Materials science; Monolayer; Surface modification; Nanotechnology; Chemical engineering; Engineering","score_opus":0.011580730151725628,"score_gpt":0.22321504990218421,"score_spread":0.2116343197504586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229454006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946665,0.00008190815,0.0002436132,0.00029352255,0.00034273227,0.00032478236,0.0000031445672,0.00042717654,0.0036165859],"genre_scores_gemma":[0.9874779,0.0000032166074,0.012052873,0.000314795,0.000019261863,0.00005617933,0.0000012363024,0.000014483203,0.00006007325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976277,0.00012072872,0.00022556914,0.0006600285,0.00089305267,0.00047295244],"domain_scores_gemma":[0.99931324,0.00012686482,0.00012687047,0.00029120437,0.000042525564,0.0000993153],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012191832,0.00019075496,0.00021366958,0.00008071363,0.0018046149,0.00019928656,0.0007818363,0.000028338549,0.0004105973],"category_scores_gemma":[0.000005974133,0.0001511217,0.00003634823,0.0009055283,0.000113150825,0.00019099718,0.00021425963,0.00019712704,0.00012028293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003743682,0.00009147566,0.0015760007,0.0000051584693,0.000007003029,0.00000413837,0.0028549305,0.013422963,0.9804249,0.0014318259,0.0000713008,0.00007286921],"study_design_scores_gemma":[0.0015755919,0.00043419955,0.0064038993,0.00000851142,0.000056122757,0.00012214194,0.02011217,0.0785128,0.8870637,0.0006023983,0.003842827,0.0012656539],"about_ca_topic_score_codex":0.00014481497,"about_ca_topic_score_gemma":0.000017009246,"teacher_disagreement_score":0.093361214,"about_ca_system_score_codex":0.00013439058,"about_ca_system_score_gemma":0.00019499361,"threshold_uncertainty_score":0.9994949},"labels":[],"label_agreement":null},{"id":"W4280490353","doi":"10.3390/app12104851","title":"Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement; Structural engineering; Decision tree; Computer science; Reliability (semiconductor); Random forest; Context (archaeology); Tree (set theory); Bar (unit); Machine learning; Materials science; Mathematics; Engineering; Geology","score_opus":0.008781204738066609,"score_gpt":0.24857362155565318,"score_spread":0.23979241681758656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280490353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80400777,0.0001533419,0.1933662,0.000031186177,0.00001811199,0.0013782347,0.000027250628,0.000082320345,0.0009355974],"genre_scores_gemma":[0.9804777,0.000028521887,0.018886155,0.0000132964215,0.000007609845,0.0005489373,0.00001685303,0.000012012588,0.000008896484],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998999,0.000011090663,0.00032551299,0.00020933381,0.00026815786,0.00018690832],"domain_scores_gemma":[0.99917734,0.00043623938,0.00014540963,0.00017063129,0.000027209264,0.00004320246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006345067,0.00013881881,0.00023052262,0.0001690529,0.00039926608,0.000035579604,0.00029616788,0.000030161134,0.000015460339],"category_scores_gemma":[0.000021410528,0.00010450058,0.000050496204,0.0003978624,0.0002468362,0.0000670483,0.0000857724,0.00011972956,1.5038096e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018736653,0.0000016141971,0.0010673245,0.00008702262,0.000028006556,2.7935334e-7,0.0004920827,0.2458655,0.5092155,0.004104524,0.000006502241,0.23894432],"study_design_scores_gemma":[0.0022859722,0.0003650171,0.0018299099,0.00003350909,0.00009623079,0.000005173215,0.0010663508,0.71811926,0.27439213,0.0010069343,0.0005000823,0.00029940213],"about_ca_topic_score_codex":0.00006213611,"about_ca_topic_score_gemma":0.000013443624,"teacher_disagreement_score":0.4722538,"about_ca_system_score_codex":0.00002396804,"about_ca_system_score_gemma":0.000025703463,"threshold_uncertainty_score":0.42614096},"labels":[],"label_agreement":null},{"id":"W4280512962","doi":"10.3390/app12104969","title":"Evaluation of Survivability of the Automatically Obfuscated Android Malware","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Obfuscation; Malware; Computer science; Cryptovirology; Android (operating system); Computer security; Mobile malware; Software; Survivability; Android malware; Embedded system; Operating system; Computer network","score_opus":0.035406814209306484,"score_gpt":0.2904861148137756,"score_spread":0.25507930060446915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280512962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70269316,0.000061026716,0.28041092,0.0005834329,0.00037105408,0.0010838395,0.0000108663835,0.0003152821,0.014470408],"genre_scores_gemma":[0.9821104,5.1788874e-7,0.017727839,0.00004036911,0.0000032666023,0.000105559346,2.7879952e-7,0.000002207287,0.00000955383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972821,0.00028524842,0.00028640305,0.0002917794,0.0017210253,0.00013347849],"domain_scores_gemma":[0.9988002,0.00015561406,0.00026233753,0.0005273315,0.00023396676,0.00002054983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00536691,0.000068217014,0.00012612021,0.0000826468,0.00033720004,0.000017379642,0.001504954,0.000018182767,0.00010003449],"category_scores_gemma":[0.00021195607,0.000050069328,0.00004552422,0.0015964904,0.00038577695,0.00015204458,0.0006578489,0.00009361198,8.049462e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017595123,0.0005067258,0.0041185115,0.000072775765,0.000033743694,3.9024928e-7,0.0029399197,0.044494376,0.1844029,0.40843526,0.00031144798,0.35466635],"study_design_scores_gemma":[0.00035943216,0.0002785513,0.0393761,0.000010332769,0.000027236167,0.000007711244,0.00057360885,0.21479407,0.38870826,0.3553861,0.0002520073,0.00022659823],"about_ca_topic_score_codex":0.00001904196,"about_ca_topic_score_gemma":0.000009582087,"teacher_disagreement_score":0.35443977,"about_ca_system_score_codex":0.00007696638,"about_ca_system_score_gemma":0.00030093195,"threshold_uncertainty_score":0.2796604},"labels":[],"label_agreement":null},{"id":"W4280529915","doi":"10.3390/app12104917","title":"Hadamard Aperiodic Interval Codes for Parallel-Transmission 2D and 3D Synthetic Aperture Ultrasound Imaging","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates - Technology Futures","keywords":"Algorithm; Aperiodic graph; Computer science; Synthetic aperture radar; Transmitter; Mathematics; Telecommunications; Computer vision; Channel (broadcasting)","score_opus":0.010405201402289442,"score_gpt":0.2514379705841856,"score_spread":0.24103276918189614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280529915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8958009,0.0055048754,0.064399,0.010675929,0.0005170733,0.0016800545,0.0000687048,0.00039828932,0.020955183],"genre_scores_gemma":[0.97452456,0.00006378202,0.022963805,0.0020476219,0.00004809338,0.00015627236,0.000020323827,0.000015402864,0.00016012059],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856055,0.000028600763,0.00018756879,0.00047917862,0.00038181586,0.00036230937],"domain_scores_gemma":[0.9991084,0.00053407764,0.00005650466,0.00014773018,0.000020444044,0.00013287182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000576861,0.0001654175,0.0002440704,0.00016086352,0.0011741247,0.000118518066,0.0001886,0.000023439556,0.0001563742],"category_scores_gemma":[0.00005615333,0.00012894289,0.0000883915,0.00032281288,0.0007022249,0.00008076677,0.00004780485,0.00020553631,0.0000035812373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001036665,0.0005904026,0.06235344,0.0004362772,0.00015955322,0.000012280405,0.009918484,0.0005498591,0.8115964,0.0048808134,0.008839652,0.09962617],"study_design_scores_gemma":[0.0030244165,0.00090535986,0.008082278,0.00016688877,0.00030912602,0.0011691384,0.01629336,0.00787081,0.0013842528,0.0037013756,0.9562673,0.0008256687],"about_ca_topic_score_codex":0.000022515847,"about_ca_topic_score_gemma":0.0000017380498,"teacher_disagreement_score":0.9474277,"about_ca_system_score_codex":0.000024103636,"about_ca_system_score_gemma":0.00007755412,"threshold_uncertainty_score":0.9030536},"labels":[],"label_agreement":null},{"id":"W4280535698","doi":"10.3390/app12104932","title":"Time-of-Flight Secondary Ion Mass Spectrometry Analyses of Self-Assembled Monolayers of Octadecyltrimethoxysilane on SiO2 Substrate","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Monolayer; Self-assembled monolayer; Secondary ion mass spectrometry; Substrate (aquarium); Chemistry; Silane; Molecule; Fragmentation (computing); Polymerization; Mass spectrometry; Ion; Organic chemistry; Chromatography; Polymer; Computer science","score_opus":0.013915257157458137,"score_gpt":0.24845573550835734,"score_spread":0.2345404783508992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280535698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837389,0.0003107054,0.00048076292,0.000007402652,0.00013189024,0.000115047544,0.000013035614,0.000048577076,0.015153685],"genre_scores_gemma":[0.9946284,0.000021039334,0.005294691,0.00000841302,0.000012883358,0.000007874128,0.0000039125784,0.000009333136,0.00001339498],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889386,0.000037457285,0.00029882137,0.00020103317,0.00039989117,0.00016896239],"domain_scores_gemma":[0.99951786,0.00009452111,0.00013135427,0.00020140353,0.000019698151,0.00003518488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003533048,0.00012090704,0.00027349603,0.000460592,0.00010884261,0.000008783768,0.0003005845,0.00003699764,0.00033222497],"category_scores_gemma":[0.0000060837237,0.00010558518,0.000082812265,0.0013865317,0.000060921222,0.00003877271,0.000035684643,0.00014432042,0.0000030178467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015950001,0.000024982499,0.000097874916,0.000030562005,0.000057517627,0.0000011684347,0.00009851239,0.05535468,0.9431403,0.00082849077,0.00011698452,0.0002329275],"study_design_scores_gemma":[0.00017974107,0.00017788287,0.0016475498,0.000004319032,0.000034502522,0.0000020132711,0.0003332479,0.0036645555,0.9932599,0.00051770324,0.00007167821,0.00010689915],"about_ca_topic_score_codex":0.00001722286,"about_ca_topic_score_gemma":9.289105e-7,"teacher_disagreement_score":0.051690128,"about_ca_system_score_codex":0.000026906971,"about_ca_system_score_gemma":0.000057378606,"threshold_uncertainty_score":0.43056387},"labels":[],"label_agreement":null},{"id":"W4280569001","doi":"10.3390/app12105037","title":"Cybersecurity Vulnerabilities in Off-Site Construction","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer security; Internet of Things; Construction industry; Industry 4.0; Work (physics); Critical infrastructure; Computer science; Risk analysis (engineering); Business; Engineering; Construction engineering","score_opus":0.008351349716872505,"score_gpt":0.2004828659685329,"score_spread":0.1921315162516604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280569001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371817,0.00011315055,0.00018823324,0.00005456801,0.0005853892,0.00007583324,0.000007220768,0.00011961665,0.061674304],"genre_scores_gemma":[0.99916375,0.000008060227,0.00066403236,0.000032418986,0.000026577552,0.000073104056,0.0000025958984,0.000002895775,0.00002657677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994553,0.000016341492,0.000118019685,0.00012512792,0.00016839686,0.000116860305],"domain_scores_gemma":[0.9998787,0.000024033065,0.000015003498,0.000059824677,0.000006001828,0.000016452881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386229,0.000054201835,0.00006122674,0.00011385624,0.00023858022,0.0000296678,0.000089559086,0.000017121913,0.00040920117],"category_scores_gemma":[0.0000032179482,0.000055083336,0.000014657814,0.00041599624,0.00020436208,0.00009834067,0.00002098217,0.00014210939,0.000011491814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008428074,0.00001792605,0.0119825695,0.000013703064,0.0000053580043,0.0000010393572,0.0032626272,0.07211321,0.0075996537,0.8011239,0.0008397442,0.10303184],"study_design_scores_gemma":[0.002230465,0.00032134392,0.028047487,0.00002892299,0.00002833757,0.0003085874,0.14959508,0.24204956,0.035455365,0.35916537,0.18072589,0.002043604],"about_ca_topic_score_codex":0.00003628085,"about_ca_topic_score_gemma":0.00010716171,"teacher_disagreement_score":0.44195855,"about_ca_system_score_codex":0.000062615116,"about_ca_system_score_gemma":0.000022665343,"threshold_uncertainty_score":0.44804657},"labels":[],"label_agreement":null},{"id":"W4280596383","doi":"10.3390/app12105084","title":"Effects of Slope Angle on Toppling Deformation of Anti-Dip Layered Rock Slopes: A Centrifuge Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection","keywords":"Geology; Slipping; Geotechnical engineering; Deformation (meteorology); Magnetic dip; Centrifuge; Slip (aerodynamics); Geometry","score_opus":0.007742373557164417,"score_gpt":0.21684664613215882,"score_spread":0.2091042725749944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280596383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98633313,0.000025582642,0.000103434504,0.000023578004,0.0001095609,0.00050735084,0.0000029047812,0.000016814802,0.012877645],"genre_scores_gemma":[0.9996349,0.0000074828527,0.0002109719,0.00004885325,0.0000084579415,0.000033303473,0.0000015819498,0.0000043354435,0.000050074086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99862355,0.00003252309,0.00023953605,0.00023813252,0.00066446577,0.00020178162],"domain_scores_gemma":[0.9995911,0.000062788735,0.00017154882,0.00013018998,0.000004541862,0.0000398152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005655915,0.00009022551,0.0001671867,0.00006259517,0.00038429353,0.000014796914,0.00037592772,0.000024664536,0.00034244012],"category_scores_gemma":[0.000009251201,0.00006411953,0.00003758645,0.0006829216,0.0000910447,0.00009064926,0.00027370622,0.00010302445,0.000030269819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022651214,0.002783367,0.15008235,0.00011018968,0.00007195325,0.000015693024,0.018219734,0.6034721,0.20269565,0.0027196046,0.0007384688,0.018864375],"study_design_scores_gemma":[0.0075046555,0.0071347584,0.40103865,0.000103710416,0.00019966674,0.000019721962,0.03447023,0.025697503,0.5102052,0.0024218794,0.009853993,0.0013500317],"about_ca_topic_score_codex":0.00008834407,"about_ca_topic_score_gemma":0.000007633543,"teacher_disagreement_score":0.5777746,"about_ca_system_score_codex":0.00005327966,"about_ca_system_score_gemma":0.000016793085,"threshold_uncertainty_score":0.37494794},"labels":[],"label_agreement":null},{"id":"W4280623378","doi":"10.3390/app12105141","title":"Hole Cleaning Performance of V-Shaped Hole Cleaning Device in Horizontal Well Drilling: Numerical Modeling and Experiments","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Drilling; Mechanics; Fluent; Spiral (railway); Flow (mathematics); Helix angle; Materials science; Directional drilling; Mechanical engineering; Completion (oil and gas wells); Petroleum engineering; Computational fluid dynamics; Engineering; Physics","score_opus":0.01839951685373332,"score_gpt":0.22250007944497557,"score_spread":0.20410056259124226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280623378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98504514,0.0003942141,0.00931737,0.000005398456,0.00018066904,0.00009784133,0.0000012208145,0.00012840354,0.0048297443],"genre_scores_gemma":[0.99714345,0.000037817314,0.0027058106,0.000016247552,0.00003503163,0.00002886799,0.000002047197,0.000024268395,0.000006486428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987461,0.000011233002,0.0002818343,0.0002832496,0.0003230141,0.00035457016],"domain_scores_gemma":[0.99974585,0.000041948482,0.00003708873,0.000105999374,0.000007424063,0.000061694234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044967848,0.0001532628,0.0002110812,0.00016938416,0.00025929252,0.000037787362,0.00025209,0.000032191052,0.000018063365],"category_scores_gemma":[0.000004813498,0.00016768358,0.000025170963,0.0005265806,0.00005839698,0.00015164904,0.00012712793,0.00024357719,0.0000043287446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071033583,0.0000125559645,0.0008631275,0.000028447723,0.000004787266,0.00000125575,0.0011335645,0.9675368,0.028566157,0.00026482498,0.0000028736604,0.0015785109],"study_design_scores_gemma":[0.00022185735,0.00006719249,0.000088351895,0.00002794752,0.0000037853695,0.0000027004062,0.0023557583,0.98668385,0.010204583,0.000022641458,0.000121044206,0.00020027309],"about_ca_topic_score_codex":0.000029453462,"about_ca_topic_score_gemma":0.0000017460402,"teacher_disagreement_score":0.019147072,"about_ca_system_score_codex":0.00005480906,"about_ca_system_score_gemma":0.000017370905,"threshold_uncertainty_score":0.6837938},"labels":[],"label_agreement":null},{"id":"W4280644003","doi":"10.3390/app12105039","title":"Ultrafast Detection of SARS-CoV-2 Spike Protein (S) and Receptor-Binding Domain (RBD) in Saliva Using Surface-Enhanced Raman Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Nanotechnology; Surface-enhanced Raman spectroscopy; Biomolecule; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Materials science; Saliva; Raman spectroscopy; Biological system; Chemistry; Coronavirus disease 2019 (COVID-19); Raman scattering; Optics; Physics; Biology; Biochemistry","score_opus":0.023316309183824095,"score_gpt":0.3269949265284811,"score_spread":0.303678617344657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280644003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948123,0.00006123535,0.002927418,0.000051515362,0.00003513214,0.00032175003,0.000009099733,0.000014548069,0.0017669747],"genre_scores_gemma":[0.9911319,0.000027966711,0.008682552,0.000035416622,0.00003388607,0.0000490231,0.000009198477,0.000008814223,0.00002126264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854803,0.000055281824,0.00023268326,0.00043615737,0.0003967997,0.00033104353],"domain_scores_gemma":[0.99968946,0.000017333166,0.00009228749,0.00014334999,0.0000149178495,0.00004264087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008184815,0.00011402785,0.00014948129,0.00008407131,0.0002235935,0.000023448367,0.00030929525,0.00007731764,0.0000271729],"category_scores_gemma":[0.000039202067,0.000106218795,0.00003057681,0.0005451578,0.00061171566,0.000005176506,0.0002635136,0.00019808403,9.217173e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008890815,0.000047509155,0.00017846108,0.000014132023,0.0000038074722,4.64996e-7,0.000046733985,0.0000072594285,0.99918467,0.0001657393,0.000020741683,0.00024155626],"study_design_scores_gemma":[0.00023007557,0.0003491612,0.0000273968,0.000012079695,0.0000015305824,0.0000031801294,0.00039014683,0.000061020422,0.9972888,0.00094794197,0.0005634341,0.00012519861],"about_ca_topic_score_codex":0.000056116238,"about_ca_topic_score_gemma":0.000016065727,"teacher_disagreement_score":0.0057551335,"about_ca_system_score_codex":0.00006313785,"about_ca_system_score_gemma":0.00007318382,"threshold_uncertainty_score":0.43314767},"labels":[],"label_agreement":null},{"id":"W4280652741","doi":"10.3390/app12104966","title":"CageView: A Smart Food Control and Monitoring System for Phenotypical Research In Vivo","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Toronto Metropolitan University","funders":"","keywords":"Schedule; Computer science; Real-time computing; Convolutional neural network; Set (abstract data type); Artificial intelligence; Embedded system; Operating system","score_opus":0.050190988184432225,"score_gpt":0.2961027697402382,"score_spread":0.24591178155580595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280652741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468637,0.001390798,0.00082374027,0.000104929226,0.00012475178,0.0004922175,0.0000112627295,0.00032708285,0.0020388733],"genre_scores_gemma":[0.997719,0.000017113583,0.0016093301,0.000004055655,0.000028579607,0.0006093514,1.3674749e-7,0.000008359673,0.0000040697496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999043,0.000013525289,0.00012954116,0.00021949642,0.00025447638,0.00033997739],"domain_scores_gemma":[0.9995142,0.00033209182,0.000012136663,0.00010155807,0.000009800116,0.00003017181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041145078,0.00007009878,0.00013597817,0.00010993045,0.0002673099,0.0000261255,0.0002713281,0.000031357544,0.0000019327738],"category_scores_gemma":[0.000030643972,0.0000650775,0.000012853531,0.0004953635,0.0001949392,0.000040512718,0.00009475107,0.0002236247,9.433619e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044017375,0.000023262537,0.0015283219,0.00028899813,0.000014585142,0.0000041204294,0.0002911778,0.023577215,0.91362536,0.04404645,0.00016102816,0.016395489],"study_design_scores_gemma":[0.0022493089,0.0005341964,0.00044700044,0.00010280731,0.000013083625,0.000018409668,0.01819186,0.036931757,0.89739645,0.024375211,0.01907912,0.0006607896],"about_ca_topic_score_codex":0.0000042784372,"about_ca_topic_score_gemma":0.000003855249,"teacher_disagreement_score":0.019671239,"about_ca_system_score_codex":0.00013439896,"about_ca_system_score_gemma":0.0000047868493,"threshold_uncertainty_score":0.26537833},"labels":[],"label_agreement":null},{"id":"W4281255685","doi":"10.3390/app12105213","title":"Effects of Endurance Cycling on Mechanomyographic Median Power Frequency of the Vastus Lateralis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Isometric exercise; Cycling; Vastus lateralis muscle; Medicine; Mathematics; Motor unit; Physical medicine and rehabilitation; Internal medicine; Cardiology; Physical therapy; Anatomy; Skeletal muscle","score_opus":0.006095211054533041,"score_gpt":0.187830252483503,"score_spread":0.18173504142896996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281255685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990721,0.00018803397,0.00007552243,0.0001231742,0.00031600337,0.00018098,0.0000034289144,0.000042727395,0.008349115],"genre_scores_gemma":[0.9996871,0.00001792922,0.00012852631,0.00008002345,0.000008606456,0.00006926295,2.7813456e-7,0.000005293202,0.0000030137953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922925,0.00002108571,0.00014359056,0.00012472135,0.00031967706,0.00016169106],"domain_scores_gemma":[0.9996713,0.00012749287,0.000059471906,0.00011422289,0.00001037751,0.000017160493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001829979,0.00007970939,0.00012114862,0.00015119754,0.00023915418,0.000005952154,0.0002957633,0.000014333577,0.000025113026],"category_scores_gemma":[0.000010315692,0.000057772748,0.00006236631,0.0010855197,0.00014840771,0.000034783483,0.000039042654,0.000107847525,1.8286548e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058774176,0.000061416504,0.0043809093,0.000094930336,0.00007112467,6.006972e-7,0.0024700053,0.0049672835,0.9419775,0.04056228,0.00024232375,0.005165725],"study_design_scores_gemma":[0.0004709294,0.00018424338,0.18844073,0.00004188713,0.000024877367,0.0000013580371,0.0009158311,0.0003495382,0.796452,0.01235894,0.0004555686,0.0003040841],"about_ca_topic_score_codex":0.000019342551,"about_ca_topic_score_gemma":0.000006299984,"teacher_disagreement_score":0.18405981,"about_ca_system_score_codex":0.000010568286,"about_ca_system_score_gemma":0.00001014512,"threshold_uncertainty_score":0.23559043},"labels":[],"label_agreement":null},{"id":"W4281561377","doi":"10.3390/app12115390","title":"A New Driver Model Based on Driver Response","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Queue; Traffic flow (computer networking); Acceleration; Simulation; Constant (computer programming); Exponent; Computer science; Microscopic traffic flow model; Traffic generation model; Control theory (sociology); Real-time computing; Computer network; Physics; Artificial intelligence","score_opus":0.010397305960741203,"score_gpt":0.19955509595753262,"score_spread":0.18915778999679142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281561377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5148856,0.0000968266,0.21607329,0.0025016,0.0008806775,0.00087864517,0.000017580332,0.0014625498,0.2632032],"genre_scores_gemma":[0.99570954,7.8049317e-7,0.0027401228,0.0005255414,0.000017188348,0.00005222831,6.703929e-7,0.0000066102493,0.00094731845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992316,0.000012421637,0.00007161961,0.00017868397,0.00032187844,0.00018379396],"domain_scores_gemma":[0.99975014,0.00005447324,0.000010437905,0.00013111586,0.0000024400465,0.00005136601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031484105,0.00007637225,0.000067757675,0.00010893683,0.00021073413,0.000029512834,0.00026714953,0.0000099136105,0.0003045701],"category_scores_gemma":[0.0000028501267,0.000070604416,0.000026769998,0.000263804,0.00003495099,0.00003196138,0.000054553715,0.00007793342,0.00004010848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051042494,0.00000965532,0.0000033596868,0.0000013892903,0.000002968832,0.0000018929388,0.00015534683,0.964765,0.002743906,0.0074299094,0.013888278,0.010947226],"study_design_scores_gemma":[0.00037787852,0.00004937251,0.00058683095,0.0000011591536,0.0000049824766,1.7904561e-7,0.00011125557,0.96695584,0.00011627705,0.0005377048,0.031146955,0.00011157597],"about_ca_topic_score_codex":0.0000044261433,"about_ca_topic_score_gemma":0.0000041088542,"teacher_disagreement_score":0.48082393,"about_ca_system_score_codex":0.000048495003,"about_ca_system_score_gemma":0.0000505001,"threshold_uncertainty_score":0.33348292},"labels":[],"label_agreement":null},{"id":"W4281616456","doi":"10.3390/app12115531","title":"Numerical Simulation of Deformation and Failure Mechanism of Main Inclined Shaft in Yuxi Coal Mine, China","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Geotechnical engineering; Excavation; Geology; Spall; Coal; Deformation (meteorology); Shear stress; Shear (geology); Computer simulation; Mining engineering; Engineering; Materials science; Structural engineering","score_opus":0.010089658775706814,"score_gpt":0.2250111794625004,"score_spread":0.2149215206867936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281616456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8823934,0.000018982792,0.11706947,0.000021106292,0.00003563304,0.000096835574,0.000004091406,0.0000140749335,0.0003463874],"genre_scores_gemma":[0.9977945,0.0000028641898,0.0021689888,0.000007989716,0.000005907928,0.0000111399795,0.000003623666,0.0000036742322,0.0000012901894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944496,0.000008532863,0.00018794471,0.00008379944,0.00018516002,0.000089590474],"domain_scores_gemma":[0.9998629,0.000026764728,0.000043296408,0.000045646815,0.0000055442874,0.00001586294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003561573,0.000048762497,0.000098724035,0.00010629079,0.000072492076,0.0000058040255,0.00008958651,0.00001930706,0.000011063826],"category_scores_gemma":[0.000006011121,0.00004691159,0.0000110411065,0.00024252926,0.000012439141,0.00006681689,0.000049631253,0.000059106555,1.8753373e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036941437,0.0000072278217,0.0000275995,0.000016388982,0.0000012211659,9.5603255e-8,0.00060377293,0.95999545,0.026724996,0.012207526,0.000002514675,0.0004095142],"study_design_scores_gemma":[0.00014414261,0.000032915807,0.0001134437,0.0000038593403,0.0000018280641,7.0345357e-7,0.00052742404,0.9839263,0.008232564,0.0069570784,0.000010155071,0.000049598628],"about_ca_topic_score_codex":0.000026142316,"about_ca_topic_score_gemma":0.000013228801,"teacher_disagreement_score":0.115401104,"about_ca_system_score_codex":0.000016601633,"about_ca_system_score_gemma":0.000012707636,"threshold_uncertainty_score":0.19129993},"labels":[],"label_agreement":null},{"id":"W4281656156","doi":"10.3390/app12115668","title":"Spot Weld Inspections Using Active Thermography","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Spot welding; Thermography; Mechanical engineering; Process (computing); Welding; Automotive industry; Automotive engineering; Acoustics; Engineering; Computer science; Optics; Infrared; Aerospace engineering","score_opus":0.01806311448962533,"score_gpt":0.2266405069082134,"score_spread":0.20857739241858808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281656156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331106,0.00010910887,0.004946421,0.000013364862,0.0002744594,0.00018016655,0.00008647343,0.0007536419,0.06052574],"genre_scores_gemma":[0.99895227,0.000007595217,0.0008603336,0.000047638743,0.000033001466,0.00008202988,0.0000013406238,0.0000103512975,0.000005427476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935806,0.0000123865775,0.000087180524,0.00015809061,0.00019410548,0.00019016734],"domain_scores_gemma":[0.9998105,0.000036332585,0.000020782902,0.000094978626,0.0000052988526,0.000032099546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017098682,0.00008793241,0.00007847165,0.00023142189,0.0007058623,0.000025208943,0.00023478847,0.000020471709,0.0002825386],"category_scores_gemma":[0.0000011106897,0.000086126696,0.00005040435,0.0012036366,0.00018770431,0.000061488376,0.000046383244,0.00017151708,8.956753e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020505913,0.000081908205,0.0004350053,0.000014688594,0.000073814226,0.000004866893,0.002710656,0.06886024,0.87326765,0.035531715,0.0007464238,0.018252531],"study_design_scores_gemma":[0.0008104727,0.00051251537,0.01600027,0.000031453557,0.00016828424,0.00012360715,0.02717115,0.06382695,0.7388219,0.10968846,0.040365998,0.0024789236],"about_ca_topic_score_codex":0.00003504319,"about_ca_topic_score_gemma":0.0000046626437,"teacher_disagreement_score":0.13444573,"about_ca_system_score_codex":0.000028579494,"about_ca_system_score_gemma":0.000015239608,"threshold_uncertainty_score":0.5428993},"labels":[],"label_agreement":null},{"id":"W4281733854","doi":"10.3390/app12115719","title":"A New Approach to Predict Dynamic Loads Considering Highway Alignment Using Data Mining Techniques","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Support vector machine; Artificial neural network; Computer science; Curvature; Mean squared error; Structural engineering; Data mining; Engineering; Machine learning; Mathematics; Statistics","score_opus":0.033785658944618886,"score_gpt":0.263308629574716,"score_spread":0.22952297063009713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281733854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34753147,0.0002586119,0.5764746,0.000097787226,0.0019540556,0.0010762133,0.00005878024,0.0014686699,0.0710798],"genre_scores_gemma":[0.7440126,0.000002715785,0.2557037,0.00006737574,0.00011180883,0.000042775027,0.000008032548,0.000016914732,0.000034125536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985196,0.0000111939535,0.00020088222,0.0004445012,0.00040769204,0.00041613154],"domain_scores_gemma":[0.99942243,0.000029015293,0.000034878554,0.00041093564,0.0000068657087,0.00009588422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052355754,0.00015817962,0.00016069142,0.00016091652,0.00044783312,0.00009995915,0.0008432624,0.000027753087,0.000031224623],"category_scores_gemma":[0.000009081162,0.00015457984,0.000018060975,0.00049383694,0.000060856335,0.00015543004,0.00068846974,0.00014834468,0.0000028410436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013721702,0.000022945913,0.00050045416,0.000068488276,0.000058901052,0.000011573056,0.0041111927,0.58674043,0.31799248,0.0030561623,0.012720885,0.07470277],"study_design_scores_gemma":[0.00054410106,0.0001399405,0.00034939978,0.00011140263,0.00007920889,0.00017968018,0.015703289,0.8065095,0.09891008,0.0015976585,0.07428873,0.0015869917],"about_ca_topic_score_codex":0.000040304207,"about_ca_topic_score_gemma":0.0000037915913,"teacher_disagreement_score":0.3964811,"about_ca_system_score_codex":0.00017882852,"about_ca_system_score_gemma":0.00008828345,"threshold_uncertainty_score":0.63035834},"labels":[],"label_agreement":null},{"id":"W4281787852","doi":"10.3390/app12125869","title":"Energy Efficiency Improvement of Diesel–Electric Trains Using Solar Energy: A Feasibility Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Cegep de Sept Iles","funders":"","keywords":"Automotive engineering; Diesel fuel; Photovoltaic system; Payback period; Solar energy; Engineering; Environmental science; Train; Electrical engineering","score_opus":0.021725693985993555,"score_gpt":0.24458453616408382,"score_spread":0.22285884217809027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281787852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97604024,0.000045499095,0.003574839,0.000028886074,0.00008506391,0.0003077232,0.000008698478,0.00003701339,0.01987205],"genre_scores_gemma":[0.99931294,0.0000041040257,0.0003074839,0.0001048906,0.000011635338,0.00007734411,0.000002003028,0.000008989522,0.00017061034],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969959,0.000067387475,0.0004419544,0.00075686065,0.0011981466,0.0005397295],"domain_scores_gemma":[0.99928033,0.000056065663,0.00017223886,0.00035691547,0.000008422169,0.0001260089],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014673668,0.00019166461,0.00025229232,0.00012699113,0.0014634127,0.000027905897,0.00086704944,0.000027492708,0.0031271349],"category_scores_gemma":[0.0000086818745,0.00016265368,0.000082264865,0.0021656153,0.00046809326,0.000098786295,0.00041676898,0.000122685,0.000002776142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093212344,0.0076926914,0.061692297,0.0000156639,0.000024374795,0.000016270373,0.0034932361,0.06571738,0.7977436,0.0044312626,0.00023110522,0.058848877],"study_design_scores_gemma":[0.008098689,0.021540232,0.14101014,0.00003401639,0.00048581086,0.000068677764,0.054614667,0.5139549,0.21830803,0.019240946,0.01720135,0.005442567],"about_ca_topic_score_codex":0.0027721983,"about_ca_topic_score_gemma":0.00016318099,"teacher_disagreement_score":0.5794356,"about_ca_system_score_codex":0.00020976026,"about_ca_system_score_gemma":0.00010891875,"threshold_uncertainty_score":0.99983656},"labels":[],"label_agreement":null},{"id":"W4281909621","doi":"10.3390/app12115623","title":"A Situational Analysis of Current Speech-Synthesis Systems for Child Voices: A Scoping Review of Qualitative and Quantitative Evidence","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intelligibility (philosophy); Computer science; Speech synthesis; Speech recognition; Variety (cybernetics); Speech processing; Speech technology; Psychology; Artificial intelligence","score_opus":0.6569196752813745,"score_gpt":0.6384745691048995,"score_spread":0.01844510617647499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281909621","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012979984,0.9916436,0.0016469782,0.00009664945,0.000102878774,0.0050432696,0.00040907974,0.000024753997,0.0010197915],"genre_scores_gemma":[0.00021988156,0.9905377,0.00198632,0.000039571692,0.000009720518,0.0071323155,0.000059433307,0.000008076189,0.000006977009],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.994537,0.0024325866,0.0017304876,0.0005597525,0.00051612145,0.00022406477],"domain_scores_gemma":[0.958144,0.037765566,0.0032306137,0.000540632,0.00027561883,0.000043551918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012878357,0.0002269731,0.0024509837,0.00061094266,0.00092878187,0.0000058302376,0.00084672123,0.00013199427,0.00018409036],"category_scores_gemma":[0.006336936,0.00017055521,0.0003269901,0.0026121817,0.0011835095,0.00007670244,0.0003969135,0.0004575286,0.0000029811952],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014395606,0.00011564873,0.000094045696,0.6959785,0.00085182075,5.6405053e-8,0.0032905864,0.000003251139,4.6235039e-7,0.1016471,0.00018220874,0.19782189],"study_design_scores_gemma":[0.00008755731,0.000100456644,0.000039364335,0.8757154,0.0058386633,4.957759e-7,0.015255825,0.00011547482,5.7183604e-7,0.00031691292,0.102217056,0.000312276],"about_ca_topic_score_codex":0.00006429249,"about_ca_topic_score_gemma":0.00008552515,"teacher_disagreement_score":0.19750962,"about_ca_system_score_codex":0.00013329751,"about_ca_system_score_gemma":0.0013459714,"threshold_uncertainty_score":0.7586362},"labels":[],"label_agreement":null},{"id":"W4281976694","doi":"10.3390/app12115697","title":"An Intelligent Manufacturing Approach Based on a Novel Deep Learning Method for Automatic Machine and Working Status Recognition","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Machine learning; Robot; Working environment; Machine tool; Manufacturing; Engineering","score_opus":0.051095232141295674,"score_gpt":0.27694408410360016,"score_spread":0.22584885196230448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281976694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1764384,0.0000344777,0.8199295,0.0000057258417,0.00025753558,0.0004989041,0.000005497295,0.00024763567,0.002582312],"genre_scores_gemma":[0.94056493,0.0000010143999,0.059055164,0.000039028793,0.000057141773,0.00024728046,0.000016492253,0.0000149688285,0.000003966536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990116,0.000049631286,0.0001876693,0.00026506835,0.00025089562,0.00023513405],"domain_scores_gemma":[0.9996031,0.00019652121,0.000057174722,0.00007695464,0.000008093252,0.00005816039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014419806,0.00011077962,0.0001344954,0.00020770886,0.00067982124,0.00011632984,0.0000862114,0.0000371099,0.000025918747],"category_scores_gemma":[0.000020471694,0.00010126384,0.000028316286,0.00024004545,0.000020277093,0.00005686541,0.000020523956,0.00021344514,0.0000013872306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014388134,0.000016776423,0.000011302752,0.000022234632,0.000004116376,1.15942605e-7,0.00034363274,0.57666564,0.004195568,0.00006795139,0.0000027527392,0.41865554],"study_design_scores_gemma":[0.000299393,0.000200687,0.00006416949,0.000010504673,0.000008184809,0.0000040107966,0.0019257555,0.98555833,0.010355729,0.00014293777,0.0012898372,0.0001404882],"about_ca_topic_score_codex":0.000030628602,"about_ca_topic_score_gemma":0.0000031969737,"teacher_disagreement_score":0.76412654,"about_ca_system_score_codex":0.0000755622,"about_ca_system_score_gemma":0.000010603001,"threshold_uncertainty_score":0.5228704},"labels":[],"label_agreement":null},{"id":"W4282836040","doi":"10.3390/app12126001","title":"Exploring Structure-Property Relationships in a Family of Ferrocene-Containing, Triphenylamine-Based Hybrid Organic Dyes","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Triphenylamine; Ferrocene; Dye-sensitized solar cell; Redox; Photochemistry; Electrochemistry; Electrolyte; Organic dye; Materials science; Polymer chemistry; Chemistry; Combinatorial chemistry; Chemical engineering; Organic chemistry; Electrode; Physical chemistry","score_opus":0.10823310081289544,"score_gpt":0.2384447909778587,"score_spread":0.13021169016496326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282836040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881787,0.00008333181,0.00010508708,0.000048402217,0.00011838509,0.00020189033,0.000009044387,0.000041983843,0.011213197],"genre_scores_gemma":[0.9990374,0.0000057000043,0.00059513614,0.000101785874,0.00002378427,0.0001286334,0.000018674209,0.000015127757,0.00007378332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982396,0.0001242138,0.00040425593,0.00041502956,0.000527637,0.00028928524],"domain_scores_gemma":[0.9993466,0.00015191424,0.00016397655,0.00026368035,0.000023524979,0.000050315346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095510186,0.00014490668,0.00026225045,0.00032779525,0.00051917403,0.000039200477,0.00051582005,0.000022558756,0.00038648673],"category_scores_gemma":[0.00005787502,0.000110404406,0.00005785459,0.0014017677,0.00012900452,0.00016672557,0.00011934357,0.0002725958,0.000008028645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019762642,0.00021763878,0.01870884,0.00003847401,0.000035129564,0.0000156985,0.0050788987,0.15383285,0.7868668,0.026363011,0.000098969205,0.008546066],"study_design_scores_gemma":[0.0042936727,0.0008178814,0.06314308,0.000053293632,0.00009387989,0.000013000071,0.043679133,0.036750715,0.82045406,0.011157681,0.017998664,0.0015449495],"about_ca_topic_score_codex":0.00094059575,"about_ca_topic_score_gemma":0.0008624243,"teacher_disagreement_score":0.11708214,"about_ca_system_score_codex":0.000090862515,"about_ca_system_score_gemma":0.00018412867,"threshold_uncertainty_score":0.4502161},"labels":[],"label_agreement":null},{"id":"W4282920484","doi":"10.3390/app12126033","title":"Roboethics in Remote Human Interactions and Rehabilitative Therapeutics","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Riverview Hospital; Cogmation Robotics (Canada); Toronto Metropolitan University; British Columbia Institute of Technology; University of Manitoba","funders":"","keywords":"Harm; Internet privacy; Health care; Agency (philosophy); Psychological intervention; Business; Computer security; Medicine; Psychology; Computer science; Nursing; Political science; Sociology; Law","score_opus":0.32517326479018005,"score_gpt":0.5111413324944944,"score_spread":0.1859680677043144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282920484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805306,0.000082116705,0.0001057516,0.009725099,0.00015712473,0.00022742893,6.9249256e-7,0.000015776044,0.009155387],"genre_scores_gemma":[0.9968714,0.0000145323165,0.0015644535,0.0013520692,0.00003887276,0.00002516128,0.0000020561604,0.000002964391,0.00012846976],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99931055,0.000046071753,0.00016744382,0.00018057908,0.00017326915,0.00012210962],"domain_scores_gemma":[0.9995221,0.00029699414,0.000039217724,0.00008145336,0.000026276937,0.00003395043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000774998,0.000043087162,0.00007714676,0.00012138726,0.00054322055,0.000014387697,0.000060102197,0.000017015755,0.00009147338],"category_scores_gemma":[0.00003999797,0.000038927476,0.000011423947,0.00042832215,0.00031056433,0.000042038013,0.00003706941,0.00027660796,0.0000046212463],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015530914,0.0005142591,0.063029096,0.00009316574,0.0000212402,0.000006329581,0.16417336,0.0007981007,0.057643417,0.15698773,0.00049646053,0.55608153],"study_design_scores_gemma":[0.00022437984,0.00225883,0.07518266,0.0000923948,0.000049982445,0.000070140995,0.48472637,0.009083386,0.016077034,0.37972966,0.032038163,0.0004670251],"about_ca_topic_score_codex":0.0006701751,"about_ca_topic_score_gemma":0.00038227928,"teacher_disagreement_score":0.5556145,"about_ca_system_score_codex":0.00007938835,"about_ca_system_score_gemma":0.00012948971,"threshold_uncertainty_score":0.4178068},"labels":[],"label_agreement":null},{"id":"W4282925342","doi":"10.3390/app12126040","title":"Evaluation of Urban Traffic Accidents Based on Pedestrian Landing Injury Risks","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Science Foundation of Shandong Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Pedestrian; Neck injury; Collision; Head and neck; Engineering; Poison control; Transport engineering; Medicine; Surgery; Computer science; Emergency medicine","score_opus":0.05935124287344308,"score_gpt":0.2995137798303392,"score_spread":0.24016253695689616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282925342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981907,0.000050657785,0.00020497577,0.000022924234,0.00030023023,0.0001911103,0.000008801702,0.00010749139,0.01720682],"genre_scores_gemma":[0.999773,0.0000021389078,0.00010989338,0.000019193452,0.00003253803,0.000045672106,0.0000049713644,0.0000067347178,0.0000058182113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858034,0.00004664227,0.00014165141,0.00015271285,0.00092929293,0.00014938426],"domain_scores_gemma":[0.9997564,0.00005369702,0.00003791072,0.00010698124,0.00001414567,0.000030867344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017992397,0.000073302224,0.00009017445,0.00013522172,0.000272127,0.000015896134,0.00023021623,0.000020688745,0.00019244879],"category_scores_gemma":[0.000013828092,0.00006664879,0.000028218199,0.00044451782,0.000052653588,0.00003903436,0.000021590393,0.00010466933,0.00000887473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000083120285,0.00002185415,0.000988328,0.0000043925515,0.000004491356,1.4772812e-7,0.00023820843,0.973809,0.00051679683,0.00020612148,0.00042835964,0.023774004],"study_design_scores_gemma":[0.00054684293,0.00010894482,0.021440312,0.000007274442,0.00003695287,4.178099e-7,0.0007862222,0.97513014,0.0011736732,0.00010235667,0.0005191354,0.00014769823],"about_ca_topic_score_codex":0.0000060353636,"about_ca_topic_score_gemma":0.0000058008227,"teacher_disagreement_score":0.023626305,"about_ca_system_score_codex":0.00008176052,"about_ca_system_score_gemma":0.00007966944,"threshold_uncertainty_score":0.27178589},"labels":[],"label_agreement":null},{"id":"W4283009277","doi":"10.3390/app12126153","title":"How to Create and 3D Print a Model of the Skull and Orbit for Craniomaxillofacial Surgeons","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Splints; Computer science; 3d printer; 3D printing; Skull; Process (computing); Software; 3d model; Computer graphics (images); Engineering drawing; Multimedia; Human–computer interaction; Medicine; Artificial intelligence; Orthodontics; Engineering; Surgery; Mechanical engineering; Operating system","score_opus":0.015244536531148446,"score_gpt":0.2072142315733857,"score_spread":0.19196969504223726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283009277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850548,0.0000878013,0.011323092,0.001277531,0.00005958512,0.0002473188,0.000018031928,0.000047952253,0.0018839224],"genre_scores_gemma":[0.9978314,0.000014976568,0.0019443509,0.00007344321,0.0000032163623,0.00007853215,1.3448279e-7,0.0000026143953,0.000051315015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962217,0.000002404463,0.0000514419,0.00010590378,0.00010053905,0.00011756175],"domain_scores_gemma":[0.9998707,0.000024295185,0.000010574411,0.00005823225,0.0000042386755,0.000031946274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017632497,0.000041163847,0.000074192576,0.000036355585,0.00017855056,0.00001006494,0.00013391559,0.000019985086,0.0000036088074],"category_scores_gemma":[0.000020102389,0.000028690114,0.000011097113,0.0001579244,0.00021921874,0.00001531107,0.00012238836,0.000054121076,8.6873904e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003550713,0.00004650458,0.0013944799,0.00011868926,0.000039517752,0.0000014598941,0.002934538,0.03385359,0.063851945,0.66273785,0.0009583784,0.23402755],"study_design_scores_gemma":[0.00096730853,0.0002691321,0.001887384,0.000015375448,0.000042832948,0.00002204377,0.004282737,0.6935646,0.03724365,0.0800894,0.18111981,0.0004957064],"about_ca_topic_score_codex":0.0000049689797,"about_ca_topic_score_gemma":0.000011350334,"teacher_disagreement_score":0.659711,"about_ca_system_score_codex":0.0000059309355,"about_ca_system_score_gemma":0.000015452706,"threshold_uncertainty_score":0.13732846},"labels":[],"label_agreement":null},{"id":"W4283027546","doi":"10.3390/app12126160","title":"Finite Element Methods for Modeling the Pressure Distribution in Human Body–Seat Interactions: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Computer science; Context (archaeology); Mechanical engineering; Engineering; Structural engineering","score_opus":0.1231997190064853,"score_gpt":0.477153358083705,"score_spread":0.3539536390772197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283027546","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.8290057e-7,0.97196937,0.017698433,0.000071914794,0.00037115024,0.0062693125,0.00007248523,0.000020721453,0.0035263512],"genre_scores_gemma":[0.00008109526,0.9800304,0.00038907555,0.00016044958,0.000035304816,0.018783852,0.0002759447,0.000019588266,0.00022428359],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972068,0.00067836035,0.0010086471,0.0005976234,0.00017164112,0.00033694177],"domain_scores_gemma":[0.99775124,0.0011583224,0.00054403616,0.0004951374,0.000017745395,0.0000335309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050349804,0.00027732257,0.0012433908,0.00011645386,0.00054542825,0.00007787008,0.00090688467,0.000070615715,0.00028920852],"category_scores_gemma":[0.00017609441,0.00017267466,0.00042843836,0.0005882524,0.000095329044,0.00004939407,0.00015680135,0.00035469825,0.000014049916],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000310078,0.0001136678,1.0034457e-7,0.65545785,0.00030088975,3.053225e-7,0.00024796836,0.0003820748,3.4764057e-7,0.12649593,0.0008497355,0.216148],"study_design_scores_gemma":[0.00008904015,0.0000422063,9.172613e-8,0.04836416,0.0014796907,0.0000026789378,0.00053200556,0.0028072016,2.7980677e-8,0.0015820306,0.94485015,0.00025070863],"about_ca_topic_score_codex":0.000066262306,"about_ca_topic_score_gemma":0.000033020384,"teacher_disagreement_score":0.9440004,"about_ca_system_score_codex":0.000100669815,"about_ca_system_score_gemma":0.00009218878,"threshold_uncertainty_score":0.7041468},"labels":[],"label_agreement":null},{"id":"W4283075403","doi":"10.3390/app12126214","title":"Torsional Fracture Resistance of Niti Rotary Glide Path Files under Flexural Stress","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Flexural strength; Materials science; Composite material; Nickel titanium; Fracture (geology); Structural engineering; Engineering","score_opus":0.02030017840392125,"score_gpt":0.2714376292244183,"score_spread":0.25113745082049704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283075403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769352,0.00052714965,0.00008183396,0.00025760534,0.0003654293,0.00014357116,0.0003783268,0.000026487412,0.0212844],"genre_scores_gemma":[0.9961169,0.0000044548738,0.0008570159,0.0002829656,0.00005418978,0.00003248162,0.000043512737,0.0000069746357,0.0026015576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99851364,0.000035850677,0.00018508823,0.0002891715,0.00076024944,0.00021598545],"domain_scores_gemma":[0.99949735,0.00012758205,0.00012753319,0.00016913915,0.000023582787,0.000054825472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019056928,0.000107665524,0.00014894106,0.000059921615,0.0005737314,0.000035081615,0.00039770958,0.000028183937,0.0012499596],"category_scores_gemma":[0.000008451567,0.0000851471,0.00005968366,0.0002896122,0.00020597878,0.00006387999,0.00015614151,0.0001308322,0.000015524485],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008596395,0.0025220155,0.2206772,0.0003127956,0.00061912043,0.00084616145,0.0027424917,0.06234524,0.045119207,0.42223898,0.2383413,0.0033758443],"study_design_scores_gemma":[0.004972645,0.00073572807,0.6321334,0.00022065155,0.00026046127,0.000098229015,0.027705356,0.0008800566,0.08697355,0.12109656,0.122847445,0.0020759227],"about_ca_topic_score_codex":0.00009419872,"about_ca_topic_score_gemma":0.00022621489,"teacher_disagreement_score":0.4114562,"about_ca_system_score_codex":0.000048698006,"about_ca_system_score_gemma":0.00009031314,"threshold_uncertainty_score":0.99966305},"labels":[],"label_agreement":null},{"id":"W4283080668","doi":"10.3390/app12126206","title":"Estimating the Potential Differential Settlement of a Tailings Deposit Based on Consolidation Properties Heterogeneity","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tailings; Consolidation (business); Geotechnical engineering; Geology; Slurry; Settlement (finance); Mining engineering; Environmental science; Materials science; Metallurgy; Computer science; Environmental engineering","score_opus":0.013891395405930783,"score_gpt":0.2029877816702214,"score_spread":0.18909638626429062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283080668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93526775,0.00001761134,0.06395407,0.00006264779,0.00021863796,0.00015445244,0.0000059373388,0.00011646768,0.00020239952],"genre_scores_gemma":[0.99867785,4.0590243e-7,0.0011702626,0.000034950157,0.00002040971,0.00008395416,0.0000034462462,0.000006956524,0.0000017764427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919593,0.000016555658,0.00015313017,0.00012811695,0.00035624413,0.00014999641],"domain_scores_gemma":[0.99978995,0.000025901474,0.000030919422,0.0001235741,0.000008560149,0.00002108552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028158585,0.00008054589,0.00008681227,0.000045438082,0.00031064826,0.00002945816,0.00024829875,0.000017190696,0.000018449504],"category_scores_gemma":[0.0000108538925,0.000057444882,0.0000328833,0.00017506564,0.0000626324,0.000017900878,0.00005990869,0.00012803011,0.0000014416529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004101075,0.000014179001,0.0000032492821,0.000018007335,0.000004101567,2.1036783e-7,0.000051763276,0.92167217,0.0768064,0.0004260648,0.000009738178,0.0009900102],"study_design_scores_gemma":[0.00009480436,0.000059852075,0.00007727329,0.000006920997,0.000007823564,0.0000010914242,0.00007500373,0.93404937,0.06545911,0.00008416777,0.00001687332,0.00006773384],"about_ca_topic_score_codex":0.000009159226,"about_ca_topic_score_gemma":0.0000011230841,"teacher_disagreement_score":0.063410066,"about_ca_system_score_codex":0.00002629493,"about_ca_system_score_gemma":0.000014199291,"threshold_uncertainty_score":0.23892866},"labels":[],"label_agreement":null},{"id":"W4283119226","doi":"10.3390/app12126233","title":"AFM/XPS Analysis of the Growth and Architecture of Oriented Molecular Monolayer by Spin Cast Process and Its Cross-Linking Induced by Hyperthermal Hydrogen","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"X-ray photoelectron spectroscopy; Monolayer; Perpendicular; Materials science; Wafer; Layer (electronics); Contact angle; Substrate (aquarium); Molecule; Analytical Chemistry (journal); Crystallography; Nanotechnology; Chemistry; Composite material; Chemical engineering; Organic chemistry","score_opus":0.007741478723149615,"score_gpt":0.22966933690331146,"score_spread":0.22192785818016184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283119226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998617,0.00091187475,0.000016135597,0.000014021605,0.000039102033,0.00011702309,0.000046955214,0.000017896306,0.00021998478],"genre_scores_gemma":[0.99989784,0.0000059764225,0.000025037682,0.00003589814,0.0000048706206,0.000017967772,0.0000040441814,0.0000074582813,9.296158e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921083,0.00001851739,0.00017224665,0.00019966831,0.0002580981,0.00014063246],"domain_scores_gemma":[0.99977005,0.000021931013,0.00007744676,0.00008614639,0.000015249354,0.000029208068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018037506,0.000099105295,0.00019211938,0.0000881484,0.00015409496,0.000026161706,0.00022785607,0.000029156687,0.000015975722],"category_scores_gemma":[0.000006534949,0.00007136107,0.000026323247,0.0008131518,0.0000927778,0.00005284345,0.000097938515,0.000071728704,6.3973786e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043761224,0.0000075840867,0.0032007154,0.000040242783,0.00006403178,1.8296623e-7,0.0009061959,0.006962987,0.98859245,0.0001238188,0.0000010094922,0.000096383075],"study_design_scores_gemma":[0.00011407938,0.000019819563,0.0014195038,0.000004770442,0.00006353495,0.0000017777712,0.00040437328,0.003694169,0.99408156,0.000085922904,0.000014965307,0.00009554216],"about_ca_topic_score_codex":0.00004419567,"about_ca_topic_score_gemma":0.0000041953817,"teacher_disagreement_score":0.005489069,"about_ca_system_score_codex":0.0000053969693,"about_ca_system_score_gemma":0.000013705868,"threshold_uncertainty_score":0.291002},"labels":[],"label_agreement":null},{"id":"W4283330994","doi":"10.3390/app12136358","title":"Construction and Application of Enterprise Knowledge Base for Product Innovation Design","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"TRIZ; Computer science; Knowledge base; Construct (python library); Product (mathematics); Product design; Systems engineering; Manufacturing engineering; Industrial engineering; Engineering; Artificial intelligence; Mathematics","score_opus":0.03385987354822656,"score_gpt":0.2843288619913106,"score_spread":0.250468988443084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283330994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0664399,0.00018718991,0.9248077,0.00018310982,0.00036631495,0.00078236713,0.0000061925607,0.000082538616,0.007144678],"genre_scores_gemma":[0.9685821,0.0000049006553,0.031003544,0.00002307102,0.00002615601,0.0003297136,0.000005037432,0.000004017485,0.00002145159],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995938,0.000017713483,0.00012023431,0.000121290985,0.000077071,0.00006991833],"domain_scores_gemma":[0.9997139,0.00012233517,0.00005245103,0.00006483636,0.000034220946,0.00001224404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084196555,0.000040429088,0.000048326972,0.00012446888,0.00017217053,0.000015344776,0.000070657035,0.000007833469,0.000018130673],"category_scores_gemma":[0.000032015847,0.000042461128,0.000005111481,0.0006314794,0.00007635222,0.000094275,0.000012167849,0.000037993395,0.0000017250353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004549505,0.000086727545,0.00035056585,0.00010365123,0.000012426477,2.5725019e-8,0.0022089893,0.021332752,0.41154265,0.18168204,0.0035399431,0.37909475],"study_design_scores_gemma":[0.0011624777,0.00032103245,0.0013792026,0.000010388215,0.00006381622,0.000036966856,0.008855784,0.2964142,0.4799735,0.031135362,0.1800296,0.00061766844],"about_ca_topic_score_codex":0.000001589597,"about_ca_topic_score_gemma":3.6900272e-7,"teacher_disagreement_score":0.9021422,"about_ca_system_score_codex":0.000020278074,"about_ca_system_score_gemma":0.000047143356,"threshold_uncertainty_score":0.17315145},"labels":[],"label_agreement":null},{"id":"W4283466681","doi":"10.3390/app12136430","title":"Promise for Personalized Diagnosis? Assessing the Precision of Wireless Consumer-Grade Electroencephalography across Mental States","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electroencephalography; Reliability (semiconductor); Cognition; Computer science; Task (project management); Arousal; Usability; Applied psychology; Psychology; Human–computer interaction; Power (physics); Engineering; Social psychology; Psychiatry","score_opus":0.042282077560625145,"score_gpt":0.3414319437543876,"score_spread":0.2991498661937625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283466681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968665,0.00026541177,0.00054613495,0.00082437263,0.00027362918,0.00087823067,0.00008911483,0.000047348523,0.00020922531],"genre_scores_gemma":[0.9980596,0.000060481532,0.0005619908,0.0005426012,0.00002232325,0.0007008127,0.0000038570856,0.000009108239,0.000039247094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978238,0.00016158503,0.00027798946,0.00057053816,0.0006934802,0.000472615],"domain_scores_gemma":[0.9979107,0.0016064415,0.00023967071,0.00017265847,0.000023016386,0.000047547393],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001138546,0.00015184659,0.0002020021,0.000077870965,0.002085695,0.00027360194,0.0010944797,0.000020162748,0.000036573456],"category_scores_gemma":[0.000053825996,0.00010006547,0.00010702005,0.00080412027,0.0015463685,0.00020903983,0.0002853518,0.00015739123,0.0000010058416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009514599,0.00038116635,0.00425972,0.000032067153,0.000015342315,0.0000017879889,0.010694323,0.00043575032,0.9547092,0.008181588,0.0024660928,0.01872783],"study_design_scores_gemma":[0.0008085052,0.0004467004,0.0006212046,0.000019953888,0.0000124749,0.00001786448,0.008057827,0.0064885714,0.9672101,0.0052085947,0.010876205,0.0002319735],"about_ca_topic_score_codex":0.00001585171,"about_ca_topic_score_gemma":0.000005164011,"teacher_disagreement_score":0.018495856,"about_ca_system_score_codex":0.000026317603,"about_ca_system_score_gemma":0.00007399536,"threshold_uncertainty_score":0.99921346},"labels":[],"label_agreement":null},{"id":"W4283646131","doi":"10.3390/app12136494","title":"Estimation of the Underlying F0 Range of a Speaker from the Spectral Features of a Brief Speech Input","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Beijing Language and Culture University","keywords":"Range (aeronautics); Speech recognition; Computer science; Set (abstract data type); Fundamental frequency; Acoustics; Engineering","score_opus":0.028205696159371293,"score_gpt":0.26223046038880465,"score_spread":0.23402476422943336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283646131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97587186,0.0002926408,0.016429117,0.0014069335,0.00017189202,0.0001967015,0.00000699785,0.000020077294,0.005603781],"genre_scores_gemma":[0.9729536,0.0000018700815,0.026763907,0.00023355156,0.000017424687,0.000006543071,3.9793466e-7,0.0000024098158,0.000020259022],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986092,0.000052712625,0.00021688156,0.00023474495,0.00072685356,0.00015963659],"domain_scores_gemma":[0.9991152,0.00021625323,0.00030217803,0.00032517136,0.000023676563,0.000017506085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007196615,0.00007598364,0.00014004526,0.000047946487,0.00039668928,0.00006115736,0.00166387,0.000016163889,0.00002248136],"category_scores_gemma":[0.000040676037,0.00004414619,0.000057546396,0.0011322678,0.0004293551,0.00015947706,0.0004105505,0.00012553071,6.03357e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057023983,0.00026852617,0.014937278,0.00007585576,0.00006374134,0.000003853953,0.028172195,0.022757081,0.35936034,0.10268479,0.0016538106,0.46996552],"study_design_scores_gemma":[0.00043442493,0.00010339368,0.10072682,0.000050828414,0.00001957809,0.000014962708,0.00242271,0.010030763,0.8263567,0.059553944,0.00011684855,0.00016903589],"about_ca_topic_score_codex":0.00022858105,"about_ca_topic_score_gemma":0.000039474056,"teacher_disagreement_score":0.46979648,"about_ca_system_score_codex":0.000016888014,"about_ca_system_score_gemma":0.00017229795,"threshold_uncertainty_score":0.3091912},"labels":[],"label_agreement":null},{"id":"W4283688221","doi":"10.3390/app12136539","title":"A Simple Relationship to Estimate Parameters of the Optimum Compaction Point","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Hydraulic conductivity; Compaction; Atterberg limits; Geotechnical engineering; Water content; Materials science; Environmental science; Soil science; Engineering; Soil water","score_opus":0.027290246246212364,"score_gpt":0.26065754336721764,"score_spread":0.23336729712100526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283688221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98808026,0.00001179783,0.0009469905,0.00023618905,0.00022074944,0.00012432208,0.000003876051,0.000069821486,0.01030601],"genre_scores_gemma":[0.99806994,1.7385544e-7,0.0018139931,0.000059201873,0.0000054567204,0.000029832554,0.0000010670973,0.0000035667822,0.000016786013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995347,0.000011163187,0.000087303764,0.000082433544,0.00017636847,0.00010803166],"domain_scores_gemma":[0.99978554,0.000070591166,0.00001878153,0.00009594485,0.0000050400504,0.000024110495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019420087,0.000044132357,0.000052671145,0.00004677981,0.00027586657,0.000017464312,0.0001824853,0.0000099938015,0.000023319242],"category_scores_gemma":[0.0000132505975,0.00003217444,0.000019574876,0.00063216174,0.00005364738,0.000037001762,0.00003974508,0.000092398426,0.00000666476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024082312,0.000004007954,0.0014731135,0.000002460111,0.0000023694365,7.238233e-8,0.00032285607,0.99148077,0.0029116827,0.002069726,0.0008984228,0.0008321161],"study_design_scores_gemma":[0.00037785497,0.0001369966,0.12732305,0.000012552297,0.000027658083,0.000011947674,0.0040756515,0.7999979,0.04095064,0.023736361,0.002935673,0.00041371473],"about_ca_topic_score_codex":0.000019607443,"about_ca_topic_score_gemma":0.00000756746,"teacher_disagreement_score":0.19148286,"about_ca_system_score_codex":0.000028583856,"about_ca_system_score_gemma":0.000012827143,"threshold_uncertainty_score":0.21217705},"labels":[],"label_agreement":null},{"id":"W4283751288","doi":"10.3390/app12136661","title":"A Genetic Programming Approach for Economic Forecasting with Survey Expectations","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación","keywords":"Nowcasting; Genetic programming; Benchmark (surveying); Computer science; Econometrics; Economic indicator; Quarter (Canadian coin); Economics; Artificial intelligence; Macroeconomics; Geography","score_opus":0.08994349138516457,"score_gpt":0.22952743550838603,"score_spread":0.13958394412322145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283751288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77683574,0.0009603292,0.17244248,0.000095509255,0.00020072072,0.0015398007,0.00040122983,0.00008444897,0.047439765],"genre_scores_gemma":[0.9594185,7.003591e-7,0.039462507,0.000017659853,0.00004212821,0.00080284517,0.000028782732,0.000011144894,0.0002157581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890465,0.000011036267,0.00032476644,0.00045324716,0.000043405213,0.0002629023],"domain_scores_gemma":[0.99945503,0.00008449012,0.00026409372,0.00014919575,0.000008901541,0.000038284754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008023619,0.0000917585,0.0002340662,0.00016999408,0.00105238,0.0001429547,0.00028714314,0.000012131375,0.00019361133],"category_scores_gemma":[0.000009710549,0.00009296104,0.000058169997,0.00040024772,0.00009992294,0.00006821683,0.00007477242,0.00004676967,0.0000143225225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070731054,0.0001836602,0.26254734,0.00005326405,0.00021118294,0.0000010246373,0.0034125813,0.21940114,0.000014407279,0.50405824,0.0006759063,0.009370518],"study_design_scores_gemma":[0.0014022412,0.0008123559,0.03641469,0.00000356629,0.000028512828,0.000033884673,0.022253338,0.8866398,0.000017172784,0.013229143,0.037992187,0.00117313],"about_ca_topic_score_codex":0.0010221358,"about_ca_topic_score_gemma":0.00033901128,"teacher_disagreement_score":0.66723865,"about_ca_system_score_codex":0.000068823625,"about_ca_system_score_gemma":0.000037672038,"threshold_uncertainty_score":0.8094162},"labels":[],"label_agreement":null},{"id":"W4283790556","doi":"10.3390/app12136749","title":"Adaptive Salp Swarm Algorithm for Optimization of Geotechnical Structures","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematical optimization; Wilcoxon signed-rank test; Benchmark (surveying); Swarm behaviour; Metaheuristic; Algorithm; Computer science; Pairwise comparison; Optimization algorithm; Engineering; Mathematics; Artificial intelligence; Geography; Statistics","score_opus":0.011914093945614714,"score_gpt":0.22546153420884166,"score_spread":0.21354744026322695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283790556","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018519565,0.000082971725,0.9958621,0.000021379306,0.00030394315,0.00022659579,0.000030464165,0.00021064687,0.0014099012],"genre_scores_gemma":[0.64089394,0.00000447245,0.35891277,0.000014962664,0.000025134666,0.00012243414,0.0000072457947,0.000011333236,0.000007730443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993336,0.0000065950126,0.00016343266,0.00015415977,0.00017634056,0.00016587242],"domain_scores_gemma":[0.99975485,0.00007810736,0.0000356669,0.000089542315,0.000017328879,0.000024506198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019228618,0.000082155115,0.00011524193,0.00012239596,0.0001893743,0.000009268392,0.00025102278,0.000035862526,0.000084356965],"category_scores_gemma":[0.00000904444,0.00008672112,0.00002641219,0.0003866566,0.00015482516,0.000052490137,0.000057023484,0.00009229925,4.1388654e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017991944,0.000004419348,0.0000013518157,0.0000041156713,0.0000075345724,1.02514875e-7,0.00007772424,0.9830515,0.00020943009,0.012813946,0.00015446835,0.0036736326],"study_design_scores_gemma":[0.00013600134,0.000048752026,0.000012332941,8.5464455e-7,0.0000060110006,0.0000027228973,0.00030709646,0.995325,0.002483975,0.0012755535,0.00030541324,0.000096277945],"about_ca_topic_score_codex":0.0000018446813,"about_ca_topic_score_gemma":2.3749008e-7,"teacher_disagreement_score":0.63904196,"about_ca_system_score_codex":0.000036436497,"about_ca_system_score_gemma":0.000020482803,"threshold_uncertainty_score":0.35363847},"labels":[],"label_agreement":null},{"id":"W4283803409","doi":"10.3390/app12136755","title":"Effective Identification of Technological Opportunities for Radical Inventions Using International Patent Classification: Application of Patent Data Mining","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Operability; Identification (biology); Patent analysis; Patent visualisation; Novelty; Data science; Set (abstract data type); Computer science; Technological change; Knowledge management; Data mining; Artificial intelligence; Software engineering","score_opus":0.5972590616680999,"score_gpt":0.3184599282757432,"score_spread":0.27879913339235673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283803409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8696948,0.00006922291,0.12017099,0.0012406218,0.00047439247,0.0016823886,0.00012552425,0.00008837459,0.006453657],"genre_scores_gemma":[0.99817866,0.000004580137,0.0010282785,0.00010544422,0.00006965792,0.0002946838,0.00028874478,0.000005783482,0.000024183639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871093,0.000018066106,0.0004127601,0.00032436353,0.00041173637,0.00012213599],"domain_scores_gemma":[0.9990489,0.000094920164,0.00048626112,0.00023468478,0.00012860332,0.000006631405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015370212,0.000080250444,0.00012833613,0.00028672116,0.000491895,0.000055883243,0.0008548665,0.00003490157,0.00007938097],"category_scores_gemma":[0.00013213123,0.0000696658,0.000040734423,0.0005212973,0.0004739527,0.00033175646,0.00047854043,0.00006996276,0.0000031346278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002610054,0.00082418276,0.0072380346,0.00025539772,0.000108508204,8.3050867e-7,0.00028549775,0.003562948,0.25869414,0.55601674,0.0013119656,0.17144077],"study_design_scores_gemma":[0.0006186288,0.0000610012,0.0034367251,0.000031629937,0.00011325149,0.0000034137895,0.012715292,0.94047683,0.0075298925,0.014201091,0.020524064,0.00028815595],"about_ca_topic_score_codex":0.00005013536,"about_ca_topic_score_gemma":0.000003031553,"teacher_disagreement_score":0.9369139,"about_ca_system_score_codex":0.00003270456,"about_ca_system_score_gemma":0.00003427659,"threshold_uncertainty_score":0.37833086},"labels":[],"label_agreement":null},{"id":"W4283830356","doi":"10.3390/app12146836","title":"Design of Intelligent Management Platform for Industry–Education Cooperation of Vocational Education by Data Mining","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Big data; Vocational education; Computation; Support vector machine; Process (computing); Computer science; Data mining; Artificial intelligence; Machine learning; Algorithm","score_opus":0.10020558974994306,"score_gpt":0.3380997005839064,"score_spread":0.23789411083396336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283830356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02223502,0.00018028582,0.9720597,0.0005834736,0.0011245633,0.0010378177,0.000019111634,0.000020733663,0.0027392644],"genre_scores_gemma":[0.74092925,0.0000120821305,0.2580121,0.00015878356,0.000038374328,0.00047620756,0.00020829515,0.0000031807626,0.00016175062],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988362,0.000024626654,0.0002907758,0.00035004166,0.0003785392,0.00011977362],"domain_scores_gemma":[0.9990636,0.00016210358,0.00025898943,0.000381328,0.000099906996,0.000034048084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010966812,0.00007161843,0.00008517577,0.0001735082,0.0002947143,0.000036914123,0.0012996654,0.000031286174,0.000030993873],"category_scores_gemma":[0.000033806282,0.0000724639,0.000011271096,0.0006599516,0.00011292238,0.0003911834,0.0002721508,0.00006237445,0.0000013040805],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001249732,0.00074885396,0.000120451885,0.000041898747,0.000014918498,9.3836485e-9,0.003945766,0.004710049,0.006384064,0.17560133,0.034587532,0.7738326],"study_design_scores_gemma":[0.0010436745,0.000985133,0.0024459392,0.00011998584,0.00012282151,0.000011598139,0.08876504,0.6608268,0.14271523,0.03806434,0.063732155,0.0011672664],"about_ca_topic_score_codex":0.000020826124,"about_ca_topic_score_gemma":8.932492e-7,"teacher_disagreement_score":0.7726654,"about_ca_system_score_codex":0.00006748845,"about_ca_system_score_gemma":0.0011071273,"threshold_uncertainty_score":0.29549924},"labels":[],"label_agreement":null},{"id":"W4284958100","doi":"10.3390/app12146920","title":"Design and Analysis: Servo-Tube-Powered Liquid Jet Injector for Drug Delivery Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Injector; Plunger; Acceleration; Actuator; Mechanical engineering; Materials science; Engineering; Electrical engineering; Physics","score_opus":0.09578794073972999,"score_gpt":0.4008386686345387,"score_spread":0.3050507278948087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284958100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68214697,0.003243914,0.3024299,0.0013493536,0.00073786115,0.004974598,0.0005401471,0.00031140968,0.004265801],"genre_scores_gemma":[0.98431337,0.00016008609,0.009758908,0.0025307913,0.0000673047,0.0029233552,0.000054466975,0.000014465226,0.00017723792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807304,0.0002323233,0.0003083502,0.000606656,0.00028368106,0.00049592176],"domain_scores_gemma":[0.9986091,0.00086546544,0.00013733571,0.00018639254,0.000051016363,0.00015066523],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017016154,0.00019595068,0.00026285733,0.00027059717,0.0019432137,0.00003403186,0.00060891826,0.00006584759,0.000700797],"category_scores_gemma":[0.000008575521,0.00019302161,0.0000835172,0.0011853944,0.00055140996,0.00013218884,0.00020003217,0.00034112798,0.00001731501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062424126,0.002288165,0.009192613,0.00025039053,0.004238498,0.000022594917,0.011841112,0.555524,0.29156572,0.046642903,0.014462318,0.057729308],"study_design_scores_gemma":[0.0057577887,0.0014188568,0.00068339554,0.0000067516194,0.0038688339,0.000025542582,0.009006771,0.16740735,0.14130333,0.012758243,0.6556658,0.0020972968],"about_ca_topic_score_codex":0.000011886742,"about_ca_topic_score_gemma":0.000013261266,"teacher_disagreement_score":0.6412035,"about_ca_system_score_codex":0.00006848819,"about_ca_system_score_gemma":0.00013158348,"threshold_uncertainty_score":0.9993561},"labels":[],"label_agreement":null},{"id":"W4285010437","doi":"10.3390/app12146983","title":"Prediction of Sound Insulation Using Artificial Neural Networks—Part II: Lightweight Wooden Façade Structures","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soundproofing; Acoustics; Structural engineering; Materials science; Engineering; Physics","score_opus":0.05876393510545007,"score_gpt":0.2598716038566603,"score_spread":0.20110766875121022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285010437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787917,0.000111233305,0.018445235,0.000020124131,0.0005463193,0.0002068454,0.000021847993,0.00009303989,0.0017636523],"genre_scores_gemma":[0.99890745,0.0000018969815,0.0007498961,0.000010433205,0.00027640347,0.000022212813,0.000011170474,0.000012515079,0.00000804624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986252,0.000026889382,0.00024740802,0.00020936558,0.0005992655,0.0002918283],"domain_scores_gemma":[0.9996938,0.000055373384,0.000055034874,0.00012870511,0.000019773293,0.00004728414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039270148,0.0001004075,0.00012370826,0.00015643326,0.00072308414,0.000046861525,0.00027459825,0.00003247183,0.00015679013],"category_scores_gemma":[0.000010009811,0.00009668821,0.000025078865,0.0007179197,0.00019001063,0.00012519766,0.00016689261,0.00020002648,8.5816725e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007826811,0.000010361838,0.00023335498,0.000007547097,0.000008741042,3.9794477e-7,0.00031345012,0.9555916,0.035018653,0.008044923,0.00006189086,0.0007012481],"study_design_scores_gemma":[0.00007636353,0.00005505291,0.001196506,0.0000014750327,0.00000960162,0.0000030587337,0.00046699162,0.9813524,0.0018273972,0.014850709,0.00007183013,0.000088604625],"about_ca_topic_score_codex":0.000011701666,"about_ca_topic_score_gemma":0.0000025994157,"teacher_disagreement_score":0.033191256,"about_ca_system_score_codex":0.000101109144,"about_ca_system_score_gemma":0.00003113418,"threshold_uncertainty_score":0.55614513},"labels":[],"label_agreement":null},{"id":"W4285092699","doi":"10.3390/app12147022","title":"DECIDE: A Deterministic Mixed Quantum-Classical Dynamics Approach","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Equations of motion; Quantum; Quantum dynamics; Basis (linear algebra); Harmonic oscillator; Computer science; Statistical physics; Representation (politics); Position (finance); Degrees of freedom (physics and chemistry); Classical mechanics; Physics; Applied mathematics; Mathematics; Quantum mechanics","score_opus":0.02001905521611586,"score_gpt":0.2630157697512108,"score_spread":0.24299671453509497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285092699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8239721,0.000042890864,0.010546575,0.00028758985,0.00023359297,0.00019388895,0.000052481617,0.00006497815,0.16460589],"genre_scores_gemma":[0.9982051,4.005856e-7,0.001246728,0.00008861179,0.00010641921,0.00021095018,0.000021105916,0.0000074159966,0.00011322819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986702,0.00002476481,0.00017577152,0.00039653675,0.000369492,0.00036324398],"domain_scores_gemma":[0.9995668,0.00014664062,0.00007421509,0.00013570415,0.000008493507,0.00006813258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021921897,0.00013624306,0.000188993,0.000038498158,0.0011815005,0.0000617828,0.0004330862,0.000013664951,0.0003243599],"category_scores_gemma":[0.000004270435,0.00011499546,0.00006817819,0.0004273197,0.0004311261,0.00003781982,0.00030326543,0.00020391824,0.00001886053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014999531,0.00019107234,0.002098588,0.0000033939723,0.000019519326,8.6530156e-7,0.00015334296,0.00021582881,0.0022309266,0.990849,0.0014287959,0.0027936394],"study_design_scores_gemma":[0.0019209776,0.00069003954,0.0040033706,0.000010352783,0.00015358272,0.000016924763,0.051525924,0.39407697,0.015676435,0.50951576,0.020471476,0.0019382127],"about_ca_topic_score_codex":0.000033598964,"about_ca_topic_score_gemma":0.0000023652965,"teacher_disagreement_score":0.4813333,"about_ca_system_score_codex":0.000049735576,"about_ca_system_score_gemma":0.000057755395,"threshold_uncertainty_score":0.9087266},"labels":[],"label_agreement":null},{"id":"W4285395468","doi":"10.3390/app12147070","title":"A Grant-Free Random Access Process for Low-End Distribution System Using Deep Neural Network","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Handshaking; Computer science; Computer network; Channel (broadcasting); Random access; Maximization; Data transmission; Process (computing); Transmission (telecommunications); Real-time computing; Distributed computing; Telecommunications; Mathematical optimization","score_opus":0.031567393593970774,"score_gpt":0.2803069546520505,"score_spread":0.24873956105807976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285395468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46636873,0.00065719575,0.50335693,0.00009311508,0.0028085576,0.02106079,0.00016315562,0.00096432545,0.0045272084],"genre_scores_gemma":[0.9921093,7.616935e-7,0.00029185435,0.00003426354,0.00039745544,0.007121129,0.00002640799,0.000016003312,0.0000028171585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986559,0.000025916086,0.00023011368,0.00025860293,0.00035475026,0.00047467925],"domain_scores_gemma":[0.99957126,0.00011026202,0.00006811307,0.00017348377,0.000022075232,0.000054774686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084860984,0.00014179309,0.00020239058,0.000033822744,0.0011705172,0.00023136305,0.0008862042,0.000034624172,0.000022430186],"category_scores_gemma":[0.000007620617,0.00012782286,0.000054482727,0.00074288447,0.00008791862,0.00018652558,0.00015724344,0.00013171922,9.008503e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006798995,0.0000062264153,0.00012584263,0.00015232492,0.0000074818377,0.0000010784062,0.000074911244,0.99480677,0.00011858818,0.0024435732,0.0005758663,0.0016193287],"study_design_scores_gemma":[0.00097588095,0.000032595824,0.00005283396,0.000023174645,0.000015172448,0.000009568366,0.00023843699,0.9953231,0.00033213635,0.0020075117,0.0007924796,0.00019707532],"about_ca_topic_score_codex":0.000008804293,"about_ca_topic_score_gemma":0.000008885367,"teacher_disagreement_score":0.52574056,"about_ca_system_score_codex":0.00008462794,"about_ca_system_score_gemma":0.00003136476,"threshold_uncertainty_score":0.90027905},"labels":[],"label_agreement":null},{"id":"W4285595336","doi":"10.3390/app12147106","title":"Skin Temperature: The Impact of Perfusion, Epidermis Thickness, and Skin Wetness","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Epidermis (zoology); Human skin; Drop (telecommunication); Skin temperature; Relative humidity; Materials science; Convection; Humidity; Degree Celsius; Biomedical engineering; Thermodynamics; Anatomy; Medicine; Biology","score_opus":0.011587034169983884,"score_gpt":0.2841031387394672,"score_spread":0.2725161045694833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285595336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878609,0.0012930927,0.000007846687,0.001707835,0.00012394963,0.0004368546,0.000010181547,0.000026480498,0.008532843],"genre_scores_gemma":[0.998495,0.00007124412,0.00019387511,0.0009580111,0.00011168473,0.00006350499,0.0000057263355,0.000009907022,0.00009103464],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984722,0.00008671436,0.00024559058,0.00030368307,0.00062236085,0.00026943567],"domain_scores_gemma":[0.99917513,0.0002422848,0.00012783206,0.00031694517,0.00005561781,0.00008220755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795778,0.00014583938,0.00028615387,0.00016873912,0.0008033792,0.000021111262,0.0003444846,0.000043821445,0.00062573276],"category_scores_gemma":[0.0000696829,0.00007705263,0.00009633706,0.001270859,0.001342898,0.000043782373,0.0001730433,0.00036655721,0.0000020465238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089338614,0.0008102482,0.08524141,0.00023992277,0.00031768705,0.000061644736,0.033488974,0.0014014979,0.7236129,0.031047676,0.049800307,0.07308434],"study_design_scores_gemma":[0.0058378656,0.003679929,0.86635596,0.00021864407,0.00037375628,0.0018958807,0.049419567,0.0015172525,0.043818448,0.018197753,0.007726023,0.00095889694],"about_ca_topic_score_codex":0.00024862264,"about_ca_topic_score_gemma":0.0000038407493,"teacher_disagreement_score":0.7811146,"about_ca_system_score_codex":0.000029482107,"about_ca_system_score_gemma":0.00023340892,"threshold_uncertainty_score":0.6851335},"labels":[],"label_agreement":null},{"id":"W4285733595","doi":"10.3390/app12147161","title":"Macro SOStream: An Evolving Algorithm to Self Organizing Density-Based Clustering with Micro and Macroclusters","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Macro; Computer science; Merge (version control); Cluster analysis; Merge algorithm; Algorithm; Hyperparameter; Data mining; Artificial intelligence; Machine learning; Information retrieval","score_opus":0.011227635369108174,"score_gpt":0.23211766456179578,"score_spread":0.2208900291926876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285733595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26526067,0.00001922056,0.73199964,0.00060055807,0.00010136198,0.00038675,0.000013430332,0.0008861029,0.00073227676],"genre_scores_gemma":[0.4685069,4.3751e-7,0.53056,0.00085780135,0.000014534519,0.00003959236,0.000003401764,0.000010142392,0.000007154402],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766654,0.00006306317,0.000191542,0.00097348687,0.00059378805,0.0005115972],"domain_scores_gemma":[0.99897724,0.000100873156,0.000104236504,0.0005746856,0.00004828107,0.00019469325],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009165509,0.00021774737,0.00019512129,0.00029620816,0.0013998343,0.0007985932,0.0018686594,0.000027841406,0.000012840107],"category_scores_gemma":[0.000011367419,0.00020223256,0.000015833048,0.0013502017,0.00017207804,0.0006042142,0.0018638583,0.00017875918,0.0000054757975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010692214,0.00070927385,0.014700301,0.00013610689,0.000100699675,0.00048310508,0.03773037,0.0066692457,0.30688688,0.011286944,0.0061959457,0.6149942],"study_design_scores_gemma":[0.0016041629,0.0031794189,0.004253192,0.00009929978,0.000057084533,0.00083618273,0.0070934147,0.7166401,0.25664547,0.0024034916,0.004514321,0.0026738304],"about_ca_topic_score_codex":0.000108905326,"about_ca_topic_score_gemma":0.00006682167,"teacher_disagreement_score":0.7099709,"about_ca_system_score_codex":0.00011089906,"about_ca_system_score_gemma":0.00018568173,"threshold_uncertainty_score":0.9999002},"labels":[],"label_agreement":null},{"id":"W4286209077","doi":"10.3390/app12147298","title":"Energy Prediction and Energy Management in Kinetic Energy-Harvesting Wireless Sensors Network for Industry 4.0","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Cégep de l'Abitibi Témiscamingue","funders":"","keywords":"Wireless sensor network; Energy harvesting; Mean squared error; Flexibility (engineering); Automotive engineering; Vibration; Engineering; Energy (signal processing); Ranging; Wireless; Real-time computing; Computer science; Telecommunications","score_opus":0.01623440042748719,"score_gpt":0.21078211978443806,"score_spread":0.19454771935695087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286209077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229002,0.0002913797,0.040805038,0.00012767046,0.0007381693,0.00013482703,0.00001748725,0.0012544856,0.033730727],"genre_scores_gemma":[0.991593,0.00003521282,0.0072256676,0.00009080453,0.00009157394,0.0005723217,0.000012242271,0.000024573274,0.00035458044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861264,0.000026367372,0.00027221692,0.0003847848,0.00024994477,0.00045401472],"domain_scores_gemma":[0.9996314,0.000113243594,0.000057340705,0.000152798,0.000014352124,0.000030858264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004566862,0.0001780102,0.00016416916,0.0003034969,0.0004162275,0.000059117523,0.00033162086,0.000101752084,0.0000069171724],"category_scores_gemma":[0.000010281451,0.00019111196,0.00001654198,0.001493988,0.00021942402,0.00009486522,0.0002636421,0.00020720094,1.1718917e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041824505,0.000008873826,0.0004944102,0.00001177461,0.000013440196,0.0000032095359,0.000030598487,0.521806,0.0014378178,0.4353753,0.000513699,0.04030072],"study_design_scores_gemma":[0.0008903544,0.00019173574,0.006017365,0.00007294568,0.000025559933,0.000027041802,0.0020886336,0.8834551,0.013552131,0.041094635,0.051727954,0.00085654267],"about_ca_topic_score_codex":0.00015740372,"about_ca_topic_score_gemma":0.000091387665,"teacher_disagreement_score":0.39428064,"about_ca_system_score_codex":0.00009634589,"about_ca_system_score_gemma":0.00001518505,"threshold_uncertainty_score":0.779332},"labels":[],"label_agreement":null},{"id":"W4286219817","doi":"10.3390/app12147258","title":"Research on Older Persons’ Access and Use of Technology in the Arab Region: Critical Overview and Future Directions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Qatar National Research Fund","keywords":"Information and Communications Technology; Thematic analysis; Context (archaeology); Usability; Population; Public relations; Knowledge management; Psychology; Political science; Qualitative research; Medicine; Geography; Computer science; Sociology; World Wide Web; Social science","score_opus":0.1439802415091183,"score_gpt":0.42624110455954073,"score_spread":0.2822608630504224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286219817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.847333,0.0016894233,0.0000032052599,0.1416816,0.00012596557,0.00046927013,0.0000043526347,0.00007222557,0.008620969],"genre_scores_gemma":[0.99829817,0.00094778254,0.00014540357,0.00035505998,0.00004187658,0.00017214027,1.6955227e-7,0.0000030149577,0.00003637253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99825716,0.00030613507,0.000119929246,0.00037206407,0.000613923,0.00033077784],"domain_scores_gemma":[0.99878174,0.00091579667,0.000034077013,0.00019768493,0.000037468515,0.000033253746],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021152282,0.00006659342,0.000119670636,0.0005485684,0.0022726036,0.0001249956,0.0007369115,0.00009647909,0.00002914408],"category_scores_gemma":[0.00022778034,0.000049844915,0.000013713253,0.003383072,0.005054583,0.0001888081,0.00033312626,0.00052540016,8.1053804e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072697367,0.00007770457,0.0059772246,0.000008604276,0.0000022433703,0.00000716543,0.010976207,0.0000015551648,0.000034640707,0.9633071,0.0012520794,0.018348215],"study_design_scores_gemma":[0.00044872388,0.0003651803,0.0736164,0.000055321707,0.00001495924,0.000058571106,0.43774268,0.00004150786,0.00019491478,0.14475067,0.34241614,0.0002949449],"about_ca_topic_score_codex":0.00048664658,"about_ca_topic_score_gemma":0.0009026517,"teacher_disagreement_score":0.8185564,"about_ca_system_score_codex":0.00003684151,"about_ca_system_score_gemma":0.000116935094,"threshold_uncertainty_score":0.9990263},"labels":[],"label_agreement":null},{"id":"W4286586272","doi":"10.3390/app12157358","title":"Artificial Intelligence for Multimedia Signal Processing","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia","score_opus":0.05763557611366788,"score_gpt":0.32869550653650637,"score_spread":0.2710599304228385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286586272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005413326,0.00007005918,0.9956809,0.0008161484,0.00017871847,0.00021578599,0.0000015675716,0.00012133287,0.0023741317],"genre_scores_gemma":[0.63276225,5.564974e-7,0.3665435,0.0005208338,0.000040812272,0.0001002612,6.3767834e-7,0.0000029714167,0.000028157887],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857545,0.000016587654,0.00019723814,0.00046351866,0.0004325706,0.00031462763],"domain_scores_gemma":[0.9995397,0.0001475344,0.00008767088,0.00013650763,0.000028884311,0.00005975921],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007568394,0.00008648964,0.00009119078,0.000115091774,0.0014475702,0.00021423365,0.0012091333,0.0000098996525,0.00005514787],"category_scores_gemma":[0.000017486745,0.0000781599,0.00003180082,0.00083710015,0.00019399343,0.00036586195,0.00038760283,0.0001062634,0.000015069133],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037073019,0.000026154992,0.0000061061937,0.0000025249433,5.481204e-7,6.245294e-7,0.00064050726,0.0026830991,0.0057216696,0.076094545,0.00008924809,0.91473126],"study_design_scores_gemma":[0.00002832905,0.0000658648,0.000009146852,0.0000022962931,0.0000010319475,0.0000041302737,0.0008693253,0.88287497,0.015090143,0.09620702,0.0047117285,0.000135998],"about_ca_topic_score_codex":0.0000016033194,"about_ca_topic_score_gemma":6.744441e-7,"teacher_disagreement_score":0.91459525,"about_ca_system_score_codex":0.000027554493,"about_ca_system_score_gemma":0.00013500157,"threshold_uncertainty_score":0.9998524},"labels":[],"label_agreement":null},{"id":"W4286586329","doi":"10.3390/app12157374","title":"Morphology of Dome- and Tepee-Like Landforms Generated by Expansive Hydration of Weathering Anhydrite: A Case Study at Dingwall, Nova Scotia, Canada","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Uddannelses- og Forskningsministeriet","keywords":"Landform; Geology; Gypsum; Anhydrite; Weathering; Mineralogy; Dome (geology); Geomorphology; Ridge; Paleontology","score_opus":0.012603027035292485,"score_gpt":0.20386553719929298,"score_spread":0.1912625101640005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286586329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836415,0.00033718918,0.000008342197,0.00004342,0.00023631174,0.00030697347,0.000096707954,0.000007833234,0.0005990907],"genre_scores_gemma":[0.9997337,0.0000031802076,0.00006358334,0.0000831619,0.00001426636,0.000004739207,0.000027431877,0.000002266831,0.00006765931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872327,0.000067170215,0.0003038562,0.0003237544,0.00034323172,0.00023869178],"domain_scores_gemma":[0.9994922,0.00009756188,0.00020249761,0.00011968233,0.000023794406,0.00006423617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053876673,0.00011021907,0.00026109276,0.00009020129,0.00040931173,0.000014482136,0.00019899255,0.000028635703,0.0005366318],"category_scores_gemma":[0.00000653874,0.00008663349,0.000014994611,0.00041321528,0.00026089142,0.00007584531,0.00006800936,0.0000790841,0.0000018304233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003848553,0.000047605143,0.96595776,0.000015212232,0.000029553528,0.00020852745,0.0035047163,0.010192393,0.018482821,0.0000305507,0.0005908413,0.00090155797],"study_design_scores_gemma":[0.011520823,0.012567409,0.4397207,0.000053668544,0.00034164236,0.01534355,0.3601434,0.10402984,0.046300195,0.00058780366,0.0059863254,0.0034046446],"about_ca_topic_score_codex":0.83698076,"about_ca_topic_score_gemma":0.9015142,"teacher_disagreement_score":0.5262371,"about_ca_system_score_codex":0.000013755726,"about_ca_system_score_gemma":0.00014786192,"threshold_uncertainty_score":0.5875742},"labels":[],"label_agreement":null},{"id":"W4287009640","doi":"10.3390/app12157432","title":"Identification of Multimodal Dynamic Characteristics of a Decurrent Tree with Application to a Model-Scale Wind Tunnel Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Aeroelasticity; Finite element method; Stiffness; Wind tunnel; Computer science; Tree (set theory); Structural engineering; Control theory (sociology); Simulation; Physics; Mathematics; Mechanics; Engineering; Aerodynamics; Artificial intelligence; Mathematical analysis","score_opus":0.010112854459044853,"score_gpt":0.23929024664447285,"score_spread":0.22917739218542799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287009640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97168356,0.000020710708,0.027495505,0.000023765127,0.00003746497,0.0005542037,0.00003866376,0.00003533679,0.00011077568],"genre_scores_gemma":[0.9990949,0.0000011378819,0.0006603325,0.0000018966718,0.000004584053,0.00022313095,0.000003829262,0.0000060211078,0.0000041905105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99905956,0.0000096212825,0.00027017042,0.00020501563,0.0003388359,0.00011680399],"domain_scores_gemma":[0.9996609,0.00002778746,0.000075091455,0.00017880352,0.000031292726,0.000026091557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029694475,0.000082594415,0.0001663865,0.00009374435,0.0001436077,0.0000093074905,0.00022971809,0.00000927651,0.0000021380456],"category_scores_gemma":[0.000004093956,0.00007303331,0.000017906235,0.00046385382,0.000096023236,0.000037313697,0.00007115904,0.000052288557,0.0000011081449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080419784,0.0007006478,0.060735513,0.000080029175,0.000044849818,1.7873836e-7,0.020200275,0.68074447,0.19022499,0.00042053979,0.000015997322,0.046752088],"study_design_scores_gemma":[0.0002612717,0.00019302653,0.5885537,0.0000035098521,0.000022136717,3.0723373e-7,0.005603132,0.403687,0.001363531,0.00016391986,0.000012893137,0.00013553466],"about_ca_topic_score_codex":0.000015820213,"about_ca_topic_score_gemma":0.0014141324,"teacher_disagreement_score":0.5278182,"about_ca_system_score_codex":0.000042023097,"about_ca_system_score_gemma":0.000019360336,"threshold_uncertainty_score":0.2978212},"labels":[],"label_agreement":null},{"id":"W4287833909","doi":"10.3390/app12157464","title":"Physics-Informed Data-Driven Model for Predicting Streamflow: A Case Study of the Voshmgir Basin, Iran","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; University of Guelph","funders":"National Research Foundation of Korea","keywords":"Surface runoff; Streamflow; Environmental science; Water resources; Structural basin; Hydrological modelling; Field (mathematics); Hydrology (agriculture); Meteorology; Drainage basin; Runoff model; Climatology; Computer science; Machine learning; Watershed; Geography; Geology; Cartography; Mathematics","score_opus":0.11044113149162565,"score_gpt":0.30495692874665886,"score_spread":0.1945157972550332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287833909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953343,0.0000012904505,0.00103305,0.0000833319,0.000086892775,0.0008523855,0.00007519157,0.000042383628,0.0024911193],"genre_scores_gemma":[0.99652135,1.246575e-7,0.0030901243,0.00017452866,0.000023718672,0.00012370903,0.0000045224665,0.000007573948,0.00005432976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981661,0.000050113103,0.00026180124,0.00051362015,0.000685268,0.00032313354],"domain_scores_gemma":[0.99896634,0.00022349649,0.00019689488,0.0005566516,0.000004936523,0.000051693823],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009807285,0.00012131564,0.00015793792,0.000018919529,0.0016853653,0.000036837402,0.0014672538,0.000019665613,0.00007649885],"category_scores_gemma":[0.00008601488,0.00008095573,0.000038136535,0.0006535986,0.0005622032,0.00016866933,0.0019929192,0.0001499246,0.00000351442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011658209,0.00024090234,0.014061659,0.0000037095535,0.000006551638,0.0000043990426,0.0049259667,0.97638965,0.00052915077,0.00007484917,0.000404649,0.003346841],"study_design_scores_gemma":[0.00034607283,0.00023096694,0.0003577112,0.0000021884118,0.000025250836,0.00003030099,0.0045634685,0.9933292,0.000090273956,0.0008126499,0.00010393895,0.00010793596],"about_ca_topic_score_codex":0.0006616456,"about_ca_topic_score_gemma":0.0005835258,"teacher_disagreement_score":0.016939577,"about_ca_system_score_codex":0.000082933926,"about_ca_system_score_gemma":0.000052369855,"threshold_uncertainty_score":0.9996143},"labels":[],"label_agreement":null},{"id":"W4288430721","doi":"10.3390/app12157618","title":"CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ocean Frontier Institute; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada First Research Excellence Fund; Agence Nationale de la Recherche; Dalhousie University; Fondation Université Grenoble Alpes","keywords":"Medicine; Continuous positive airway pressure; Computer science; Sleep apnea; Intensive care medicine; Machine learning; Artificial intelligence; Obstructive sleep apnea; Internal medicine","score_opus":0.04367208535777039,"score_gpt":0.3458262883698154,"score_spread":0.302154203012045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288430721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96483594,0.00020991826,0.0054228255,0.0006447662,0.00020888062,0.00077847164,0.000008927248,0.000049103528,0.027841149],"genre_scores_gemma":[0.9922205,0.000009453524,0.007353251,0.00012278547,0.000077938166,0.00015451665,0.0000065594263,0.000012490954,0.00004248712],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974557,0.00006807356,0.0002631838,0.00043942727,0.0014022967,0.00037132035],"domain_scores_gemma":[0.99935067,0.00007113525,0.00009997756,0.000292922,0.00007550583,0.00010978148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000844993,0.00013476067,0.00025563256,0.00018927705,0.00048750604,0.000027653137,0.00047215633,0.000037048598,0.0004965179],"category_scores_gemma":[0.000011365287,0.00010540473,0.0000649456,0.0009466072,0.00041295702,0.000069127615,0.0001988173,0.0003700773,0.000006733269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036275518,0.0006265432,0.02573468,0.00006345775,0.000120780416,0.000027736463,0.0016819142,0.007019243,0.75400406,0.008522717,0.00010903097,0.20172706],"study_design_scores_gemma":[0.006268498,0.004605238,0.027710471,0.00003711145,0.00007553163,0.00012656818,0.028017608,0.79378694,0.12558526,0.011254171,0.0016186329,0.0009139908],"about_ca_topic_score_codex":0.00007636414,"about_ca_topic_score_gemma":0.000002642123,"teacher_disagreement_score":0.78676766,"about_ca_system_score_codex":0.00009138735,"about_ca_system_score_gemma":0.00019657079,"threshold_uncertainty_score":0.5436523},"labels":[],"label_agreement":null},{"id":"W4289110433","doi":"10.3390/app12157641","title":"ATP-Binding Cassette (ABC) Transporters in Fusarium Specific Mycoparasite Sphaerodes mycoparasitica during Biotrophic Mycoparasitism","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ATP-binding cassette transporter; Biology; Transcriptome; Subfamily; Microbiology; Gene; Gene expression profiling; Genetics; Gene expression; Transporter","score_opus":0.01695062414499278,"score_gpt":0.21121249383395888,"score_spread":0.19426186968896608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289110433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995385,0.00076126365,0.0000026748683,0.00087946584,0.00021022819,0.00035993563,0.00030256604,0.00008453904,0.002014338],"genre_scores_gemma":[0.99889565,0.00021010818,0.000108756605,0.00031840193,0.0001542394,0.00010141266,0.00012217254,0.0000027569793,0.00008651392],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99700254,0.000088149216,0.00042990723,0.00082657154,0.00077906175,0.0008737579],"domain_scores_gemma":[0.99939436,0.00015695061,0.00013633218,0.00011001616,0.000014713789,0.00018765476],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00052946777,0.00027697592,0.00032079627,0.00010016376,0.0014728783,0.00015496083,0.000748793,0.000064231106,0.0004405966],"category_scores_gemma":[0.000004722668,0.00015332633,0.00010914192,0.0015794788,0.00031391176,0.00016362812,0.0001068616,0.000290787,0.00005948232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010454147,0.00012105923,0.033024035,0.000012559004,0.000008562468,0.00022596383,0.00026482707,0.0012758397,0.9627654,0.00064209464,0.00017882048,0.0013762808],"study_design_scores_gemma":[0.00081979897,0.0003060017,0.92278504,0.00004784819,0.00003557377,0.00012604584,0.00490495,0.00018198651,0.060225517,0.0010705856,0.008252348,0.0012443255],"about_ca_topic_score_codex":0.000077882425,"about_ca_topic_score_gemma":0.00024379791,"teacher_disagreement_score":0.9025399,"about_ca_system_score_codex":0.00010882067,"about_ca_system_score_gemma":0.000038661066,"threshold_uncertainty_score":0.9998271},"labels":[],"label_agreement":null},{"id":"W4289344822","doi":"10.3390/app12157738","title":"Fibonacci Wavelet Method for the Solution of the Non-Linear Hunter–Saxton Equation","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Mathematical Theories and Applications","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Wavelet; Algebraic equation; Fibonacci number; Applied mathematics; Linearization; Collocation method; Numerical analysis; Haar wavelet; Mathematical analysis; Wavelet transform; Computer science; Discrete wavelet transform; Nonlinear system; Differential equation; Discrete mathematics","score_opus":0.03853724690895239,"score_gpt":0.3343963103064615,"score_spread":0.2958590633975091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289344822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049286713,0.0000066704815,0.98749405,0.001017006,0.000063572654,0.0005016836,0.000031407668,0.000005862309,0.005951053],"genre_scores_gemma":[0.95691425,2.7932262e-7,0.042370845,0.00007586637,0.00007173024,0.00037230077,0.000004599418,0.0000036147771,0.00018651501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943155,0.000016478287,0.00013514838,0.0001304666,0.00016921695,0.000117147654],"domain_scores_gemma":[0.9992434,0.00044509608,0.00012457793,0.00015640425,0.000019117359,0.000011425637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005681422,0.000051784365,0.000073427764,0.000010241536,0.0010223851,0.00001265675,0.00035230664,0.0000061989026,0.00011148525],"category_scores_gemma":[0.0000071701706,0.000028590457,0.000060078823,0.00026989143,0.00014263151,0.000031122152,0.00013252963,0.000061615705,0.0000021223298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003840785,0.000028390768,0.000011735695,0.0000028584002,0.0000056152694,9.1691127e-10,0.00024184384,0.0058213617,0.007299716,0.97262645,0.00017009348,0.013788117],"study_design_scores_gemma":[0.00017158051,0.0000326024,0.000058507703,0.00000261935,0.000022848735,1.4257621e-7,0.0039371783,0.16328233,0.032180462,0.79247874,0.0077553634,0.00007759283],"about_ca_topic_score_codex":0.000018549648,"about_ca_topic_score_gemma":5.8075113e-7,"teacher_disagreement_score":0.9519856,"about_ca_system_score_codex":0.000008878387,"about_ca_system_score_gemma":0.000030986394,"threshold_uncertainty_score":0.7863463},"labels":[],"label_agreement":null},{"id":"W4289522155","doi":"10.3390/app12157784","title":"Discriminating and Clustering Ordered Permutations Using Artificial Neural Networks: A Potential Application in ANN-Guided Genetic Algorithms","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Permutation (music); Artificial neural network; Computer science; Cluster analysis; Binary number; Metaheuristic; Algorithm; Travelling salesman problem; Artificial intelligence; Mathematical optimization; Mathematics","score_opus":0.0271602963520645,"score_gpt":0.26382324727453826,"score_spread":0.23666295092247377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289522155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4087253,0.00010000232,0.5905676,0.000038230202,0.00017659557,0.00017167986,0.0000025890768,0.00009022558,0.00012781096],"genre_scores_gemma":[0.91476357,0.0000046722334,0.084999524,0.00003512512,0.00008187609,0.00008972648,0.000009399,0.000014417595,0.0000016885132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989743,0.000027458902,0.00025770316,0.00026974492,0.00021896418,0.00025182203],"domain_scores_gemma":[0.9997789,0.00003176299,0.000046670655,0.0000832902,0.000014534458,0.000044815315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023852263,0.000109602006,0.000109769535,0.00016947303,0.000607762,0.00011952895,0.0001518412,0.000027357113,0.000013278631],"category_scores_gemma":[0.000008609508,0.00012271055,0.000017031265,0.0007379532,0.00009483636,0.00009524079,0.00009019201,0.00014328794,5.644874e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015809048,0.000009817443,0.000119996286,0.0000052134124,0.000002226112,0.0000016601385,0.00049062376,0.9808252,0.0015043104,0.00019739888,0.0000013485375,0.01684063],"study_design_scores_gemma":[0.00013921708,0.0000119266715,0.00071531575,0.0000026119149,0.000008035014,0.000024335492,0.0025413819,0.99596524,0.000055290235,0.00038544042,0.000002340472,0.00014885626],"about_ca_topic_score_codex":0.0000584779,"about_ca_topic_score_gemma":0.00003307171,"teacher_disagreement_score":0.50603825,"about_ca_system_score_codex":0.0000525676,"about_ca_system_score_gemma":0.00001871897,"threshold_uncertainty_score":0.5003991},"labels":[],"label_agreement":null},{"id":"W4289523681","doi":"10.3390/app12157769","title":"Design and Development of Bladeless Vibration-Based Piezoelectric Energy–Harvesting Wind Turbine","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mast (botany); Airflow; Wind power; Computational fluid dynamics; Wind tunnel; Vibration; Turbine; Vortex; Vortex-induced vibration; Renewable energy; Acoustics; Energy harvesting; Mechanical energy; Mechanics; Marine engineering; Mechanical engineering; Engineering; Physics; Energy (signal processing); Power (physics); Electrical engineering","score_opus":0.016065003938152345,"score_gpt":0.2007529191445529,"score_spread":0.18468791520640054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289523681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13560016,0.00009002121,0.86334395,0.000027290269,0.00002568666,0.00005565987,8.6627784e-7,0.000045654393,0.0008106909],"genre_scores_gemma":[0.9589386,0.0000023581038,0.040951576,0.000054871547,0.000005801603,0.000020052757,0.000006346445,0.0000054289862,0.000014942436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993268,0.00001574835,0.00017788116,0.00013656284,0.00022663454,0.000116361734],"domain_scores_gemma":[0.99979085,0.00007573095,0.00003732041,0.000054540007,0.00001148975,0.000030090227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035146266,0.00006853295,0.00009252574,0.00017467342,0.0003268683,0.00003771273,0.0001241663,0.000012472106,0.000050954102],"category_scores_gemma":[0.0000040189716,0.00006707501,0.000010074985,0.0007208003,0.00004806944,0.000046803583,0.000024695342,0.000043260454,5.949299e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020483815,0.000008455289,0.00006133002,0.000005748135,0.00000794919,1.6378654e-7,0.00017780243,0.9496952,0.0352995,0.0027167387,0.000019719808,0.012005296],"study_design_scores_gemma":[0.00008826511,0.000017302289,0.00011764452,0.0000012967398,0.000004226971,3.6138715e-7,0.00011049408,0.97808796,0.021232555,0.00008286373,0.00017079392,0.00008623374],"about_ca_topic_score_codex":0.000006302022,"about_ca_topic_score_gemma":0.000007978602,"teacher_disagreement_score":0.82333845,"about_ca_system_score_codex":0.000025303354,"about_ca_system_score_gemma":0.000098842895,"threshold_uncertainty_score":0.27352393},"labels":[],"label_agreement":null},{"id":"W4289928533","doi":"10.3390/app12157846","title":"Novel Reversible Comparator Design in Quantum Dot-Cellular Automata with Power Dissipation Analysis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Comparator; Quantum dot cellular automaton; Computer science; Reversible computing; Dissipation; Energy consumption; Electronic circuit; Electronic engineering; Very-large-scale integration; Logic gate; Power analysis; Digital electronics; Quantum; Algorithm; Quantum computer; Electrical engineering; Embedded system; Engineering; Physics; Cryptography; Voltage","score_opus":0.0313778623767956,"score_gpt":0.24781751078022957,"score_spread":0.21643964840343397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289928533","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30160934,0.00006962072,0.6957673,0.00040904968,0.00014975943,0.00040532168,0.000006338704,0.00023377278,0.0013495057],"genre_scores_gemma":[0.9553591,0.0000011416835,0.044283904,0.0001723331,0.00000796514,0.00010256697,0.000011351883,0.000009474275,0.000052142652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965483,0.00017957202,0.00039030478,0.001011272,0.0013189558,0.0005515816],"domain_scores_gemma":[0.9985839,0.00020248946,0.00025245067,0.0008043571,0.000033134384,0.00012364515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024845602,0.00023145891,0.00036674688,0.00084824645,0.00078675034,0.0003380526,0.0024901044,0.00003761156,0.000118201475],"category_scores_gemma":[0.00001605285,0.00020099446,0.000073544674,0.008209106,0.00027232207,0.0006259373,0.00068122585,0.00023536613,0.000049435726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009551367,0.0012316023,0.0065888804,0.000022965723,0.00023104607,0.0001227047,0.005462774,0.3433992,0.17991848,0.46045244,0.0016632427,0.00081115315],"study_design_scores_gemma":[0.00065239694,0.0002431341,0.003929971,0.000006042631,0.000050599967,0.000015472086,0.00075201364,0.984283,0.0076671746,0.0015407109,0.0004259615,0.00043355333],"about_ca_topic_score_codex":0.00013471673,"about_ca_topic_score_gemma":0.00003962009,"teacher_disagreement_score":0.65374976,"about_ca_system_score_codex":0.00014336502,"about_ca_system_score_gemma":0.00033177753,"threshold_uncertainty_score":0.81963164},"labels":[],"label_agreement":null},{"id":"W4290467239","doi":"10.3390/app12157898","title":"Distributed Ledger Technologies and Their Applications: A Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cistel Technology (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distributed ledger; Blockchain; Computer science; Data science; Computer security","score_opus":0.045079738657581414,"score_gpt":0.30298400506052586,"score_spread":0.25790426640294445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290467239","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.243174e-8,0.9283118,0.06626119,0.0007911829,0.000036061014,0.0019267871,0.000042236017,0.0011015229,0.00152912],"genre_scores_gemma":[0.000015401969,0.98574513,0.0050466666,0.00017446795,0.000013044089,0.008941792,0.000038425613,0.000011260203,0.000013824174],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975266,0.00006597629,0.00053233636,0.0012317367,0.00024817153,0.00039520083],"domain_scores_gemma":[0.99765414,0.0004312782,0.00042941683,0.0014125993,0.000024127756,0.00004841236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001112963,0.00040643144,0.0011030136,0.00031311653,0.0010416139,0.00014861742,0.004436021,0.00025959237,0.000022980346],"category_scores_gemma":[0.000046876685,0.00028209487,0.00015752942,0.003907726,0.001047637,0.00010797767,0.0021568374,0.0006338872,0.000037394315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.1740438e-8,0.000019472787,8.3015514e-8,0.0018442135,0.000010364928,3.118756e-7,0.000008198267,3.1392723e-8,1.0041612e-7,0.27286983,0.0006579441,0.7245894],"study_design_scores_gemma":[0.000023975494,0.000016943632,6.30933e-8,0.00082121824,0.00004448811,0.000053641725,0.000078923935,0.000033193577,0.0000026865357,0.032499086,0.966113,0.00031280384],"about_ca_topic_score_codex":0.000001960265,"about_ca_topic_score_gemma":0.0000013695822,"teacher_disagreement_score":0.96545506,"about_ca_system_score_codex":0.0000618714,"about_ca_system_score_gemma":0.00025226135,"threshold_uncertainty_score":0.9999631},"labels":[],"label_agreement":null},{"id":"W4290703632","doi":"10.3390/app12157951","title":"Editorial for the Special Issue: “Laser Cooling of Solids: Novel Advances and Applications”","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Mechanical engineering; Environmental science; Engineering","score_opus":0.015512577327872468,"score_gpt":0.26338045625180784,"score_spread":0.24786787892393536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290703632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11417322,0.0031355396,0.58018845,0.007092129,0.14759764,0.012121034,0.001740006,0.0005684782,0.13338348],"genre_scores_gemma":[0.93585324,0.000013738734,0.003332932,0.00003659591,0.060037404,0.0006642956,0.0000035174737,0.000005333885,0.00005292896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935466,0.0000046067225,0.00015264466,0.0001726059,0.00017630344,0.00013917252],"domain_scores_gemma":[0.99956024,0.00019896183,0.000086483524,0.000116945586,0.000024544357,0.000012833145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038017004,0.00006318605,0.000104064544,0.000017523385,0.0006958847,0.000048218673,0.00038326817,0.000013116945,0.00016152015],"category_scores_gemma":[0.000009251451,0.000041307198,0.000024483788,0.00013014596,0.00042149125,0.000041035546,0.0002659801,0.00006434433,9.892875e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002275147,0.00019616589,0.00011708563,0.000054247826,0.000043028427,1.9337303e-8,0.0002514609,0.011568542,0.013801429,0.7763473,0.05097507,0.14641818],"study_design_scores_gemma":[0.0001992136,0.00006514948,0.0000016823817,0.000001455036,0.000011806955,9.012293e-8,0.0026022831,0.00059055607,0.004653176,0.033455282,0.9583437,0.00007563093],"about_ca_topic_score_codex":0.000009875287,"about_ca_topic_score_gemma":2.8388584e-7,"teacher_disagreement_score":0.9073686,"about_ca_system_score_codex":0.0000050770154,"about_ca_system_score_gemma":0.00002914576,"threshold_uncertainty_score":0.5352253},"labels":[],"label_agreement":null},{"id":"W4291009009","doi":"10.3390/app12168056","title":"Meeting 24 h Movement Guidelines and Health-Related Quality of Life in Youths during the COVID-19 Lockdown","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agricultural Research Institute of Ontario","funders":"","keywords":"Screen time; Medicine; Quality of life (healthcare); Sadness; Pandemic; Coronavirus disease 2019 (COVID-19); Psychology; Physical activity; Gerontology; Clinical psychology; Physical therapy; Anger","score_opus":0.2677866840870117,"score_gpt":0.469778213343713,"score_spread":0.20199152925670133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291009009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97406167,0.0017587261,0.000017255315,0.020095067,0.00031505642,0.00052248844,0.00001884574,0.000028906206,0.0031820047],"genre_scores_gemma":[0.98197335,0.00003220438,0.00008280658,0.017570982,0.00002361277,0.00011000971,0.0000023695097,0.0000046941445,0.00019997526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977334,0.00027041003,0.0008291003,0.00039487222,0.0004270454,0.00034513825],"domain_scores_gemma":[0.9989641,0.00031071118,0.0003567967,0.00020251794,0.000012510927,0.00015342065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007367395,0.00009580238,0.00023848587,0.0001212464,0.0008611332,0.000014033936,0.00032335773,0.000024784658,0.00029470405],"category_scores_gemma":[0.000121807025,0.00007199879,0.000026689728,0.0006543722,0.00029306623,0.000025076712,0.00026455236,0.00016914052,0.0000036363417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005448559,0.00069686363,0.7334134,0.0007365698,0.000052653413,0.000007293034,0.105462216,0.009579796,0.0036721574,0.12916608,0.00709358,0.00957456],"study_design_scores_gemma":[0.0073798276,0.00074967823,0.60058427,0.00005407911,0.000015276984,0.000017004462,0.3526765,0.00082614884,0.0002977702,0.017444273,0.019184051,0.00077109126],"about_ca_topic_score_codex":0.044530794,"about_ca_topic_score_gemma":0.0033095004,"teacher_disagreement_score":0.24721429,"about_ca_system_score_codex":0.00026394552,"about_ca_system_score_gemma":0.0006605133,"threshold_uncertainty_score":0.96183175},"labels":[],"label_agreement":null},{"id":"W4291366336","doi":"10.3390/app12168081","title":"On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":466,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Predictive maintenance; Prognostics; Downtime; Workflow; Industry 4.0; Condition-based maintenance; Context (archaeology); Predictive analytics; Engineering; Risk analysis (engineering); Production (economics); Computer science; Reliability engineering; Data science; Data mining; Business","score_opus":0.3400403376815759,"score_gpt":0.4494295485135332,"score_spread":0.1093892108319573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291366336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7616544,0.0054658344,0.00004855711,0.045338262,0.0006205227,0.0014095595,0.00009264856,0.00010410117,0.18526612],"genre_scores_gemma":[0.9935385,0.0014885467,0.00006761151,0.00419908,0.00004744595,0.0004940971,0.000002133046,0.0000055377996,0.00015705849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980242,0.00046590946,0.00028726493,0.00038733927,0.00040673706,0.00042850184],"domain_scores_gemma":[0.9988939,0.00073971576,0.0001070241,0.00015896648,0.000018623405,0.00008174446],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026662133,0.00009185371,0.00017323733,0.00010531904,0.0015338386,0.0000044077615,0.00025363377,0.00013775103,0.00015778364],"category_scores_gemma":[0.00005398018,0.00007875118,0.000012612783,0.00035376978,0.00021189247,0.00008539221,0.00025458567,0.0013492174,0.000012256231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007490986,0.000044839733,0.0019033884,0.00013150608,0.0000021316648,0.0000025941079,0.016430745,0.00306071,0.000003945068,0.9736797,0.00066284457,0.004002639],"study_design_scores_gemma":[0.0009989035,0.00048871,0.046482205,0.00023313022,0.00000390142,0.0000026584437,0.25542232,0.010164452,0.000004062363,0.67243415,0.013467201,0.00029829342],"about_ca_topic_score_codex":0.00023866024,"about_ca_topic_score_gemma":0.00028422408,"teacher_disagreement_score":0.3012456,"about_ca_system_score_codex":0.00013505243,"about_ca_system_score_gemma":0.00027540204,"threshold_uncertainty_score":0.99976605},"labels":[],"label_agreement":null},{"id":"W4291414753","doi":"10.3390/app12168071","title":"Integration of ARIMA and LSTM Models for Remaining Useful Life Prediction of a Water Hydraulic High-Speed On/Off Valve","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Autoregressive integrated moving average; Computer science; Artificial neural network; Autoregressive model; Process (computing); Engineering; Artificial intelligence; Reliability engineering; Time series; Machine learning; Mathematics; Statistics","score_opus":0.02370789287689983,"score_gpt":0.21490803693441474,"score_spread":0.1912001440575149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291414753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828863,0.000052130225,0.013646325,0.00005672718,0.00026669845,0.00030763866,0.000018311954,0.00006914404,0.0026966864],"genre_scores_gemma":[0.9995861,0.000003900887,0.00021913854,0.00004320784,0.000031984007,0.00008636038,0.000004715337,0.0000064708343,0.000018105377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930245,0.000014999838,0.00021363725,0.00014171077,0.00021512697,0.00011207219],"domain_scores_gemma":[0.9997769,0.000058649235,0.000045692566,0.00007476233,0.000016850638,0.000027159062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045750433,0.00006709515,0.00013946994,0.00011618747,0.00014114672,0.000016591091,0.000086391374,0.000025171845,0.000008551271],"category_scores_gemma":[0.000011030645,0.00005177094,0.000035217134,0.00014824762,0.00005716062,0.000083866,0.000017770908,0.000060415747,5.9769513e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004029793,0.000012994547,0.000015381238,0.000027223974,0.000021362997,4.4985672e-8,0.0018399674,0.6711844,0.31834257,0.0057244934,0.00007422901,0.002717016],"study_design_scores_gemma":[0.00041225628,0.00020153701,0.00016029093,0.000009704468,0.000011614022,0.0000012564142,0.0014644603,0.9494077,0.0458973,0.0018676309,0.0005042133,0.00006202252],"about_ca_topic_score_codex":0.00002377697,"about_ca_topic_score_gemma":0.000005262804,"teacher_disagreement_score":0.2782233,"about_ca_system_score_codex":0.00002208775,"about_ca_system_score_gemma":0.000011497907,"threshold_uncertainty_score":0.21111578},"labels":[],"label_agreement":null},{"id":"W4291746033","doi":"10.3390/app12094419","title":"Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Speech recognition; Computer science; Task (project management); Speech technology; Field (mathematics); Process (computing); Speech processing; Engineering","score_opus":0.028251749218005794,"score_gpt":0.2559027336825049,"score_spread":0.22765098446449908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291746033","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0631846,0.53442425,0.22396731,0.014189357,0.011824347,0.06807246,0.0008885911,0.0071696504,0.076279454],"genre_scores_gemma":[0.41558766,0.01565513,0.5105351,0.021811469,0.0007598614,0.033778973,0.00030016192,0.000117310265,0.0014543264],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975089,0.0002368496,0.0005130036,0.0005959859,0.0008012702,0.0003440287],"domain_scores_gemma":[0.9986847,0.0004131806,0.00029944247,0.00042672033,0.000088868794,0.000087113054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030688778,0.00018450413,0.00045068347,0.00024657644,0.000943297,0.0005420791,0.0013610256,0.00003676836,0.00010415841],"category_scores_gemma":[0.00016115964,0.0001481212,0.00013668295,0.0017821776,0.00006912838,0.00036601452,0.00019280791,0.00013728427,0.00010894685],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014506923,0.00068417,0.00006330006,0.16336945,0.00026122914,0.00006326629,0.0021502685,0.000055825687,0.00097570085,0.093632,0.079497606,0.6592327],"study_design_scores_gemma":[0.005234964,0.002729354,0.00059047504,0.23298852,0.0012713014,0.0134220235,0.005579991,0.63226414,0.009286805,0.07794252,0.010775966,0.00791397],"about_ca_topic_score_codex":0.0000033560439,"about_ca_topic_score_gemma":6.260048e-7,"teacher_disagreement_score":0.6513187,"about_ca_system_score_codex":0.00006328703,"about_ca_system_score_gemma":0.000092295246,"threshold_uncertainty_score":0.72551733},"labels":[],"label_agreement":null},{"id":"W4293008873","doi":"10.3390/app12178434","title":"Analysis of a Stochastic SICR Epidemic Model Associated with the Lévy Jump","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Jump; Uniqueness; Brownian motion; Statistical physics; Epidemic model; Classification of discontinuities; Noise (video); Applied mathematics; Mathematics; Econometrics; Mathematical economics; Computer science; Physics; Mathematical analysis; Population; Statistics; Sociology; Demography","score_opus":0.042020378182258865,"score_gpt":0.29601408065517065,"score_spread":0.2539937024729118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293008873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8371354,0.000048913418,0.14349341,0.0040884283,0.00001525839,0.0002453548,0.0000106763855,0.00002682087,0.014935738],"genre_scores_gemma":[0.99734485,9.660688e-7,0.00027275176,0.002084916,0.0000051618476,0.00008035004,0.0000057440516,0.0000028433856,0.00020240092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989828,0.00009194961,0.00022415072,0.00022302807,0.00024613083,0.00023196409],"domain_scores_gemma":[0.99794745,0.0016926803,0.00012524174,0.00015484638,0.000023524663,0.000056231496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026253592,0.000078967976,0.0004454142,0.000108506836,0.0004098511,0.0000025368663,0.00020697033,0.000039723538,0.0005128037],"category_scores_gemma":[0.000331618,0.000039280865,0.000093136776,0.0010592378,0.0013218636,0.0000137112065,0.00008476355,0.00021447371,0.0000037769912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074528616,0.0001272079,0.0006060157,0.00000616332,0.00041445406,8.883955e-7,0.00035913472,0.26849988,0.00021326815,0.72948354,0.00013886217,0.00007602322],"study_design_scores_gemma":[0.00019820368,0.00018015869,0.00093425676,0.000004607296,0.0009573283,0.0000023718965,0.00040475655,0.90868616,0.000017434872,0.08855598,0.0000033846313,0.000055342112],"about_ca_topic_score_codex":0.000006140552,"about_ca_topic_score_gemma":0.00000949875,"teacher_disagreement_score":0.6409276,"about_ca_system_score_codex":0.000018298197,"about_ca_system_score_gemma":0.00007559269,"threshold_uncertainty_score":0.56148404},"labels":[],"label_agreement":null},{"id":"W4293010070","doi":"10.3390/app12178442","title":"Special Issue on Nanoscale Assembly and Integration for Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Nanotechnology; Engineering ethics; Electronics; Nanoscopic scale; Engineering physics; Materials science; Engineering; Data science; Computer science; Electrical engineering","score_opus":0.01453415838759007,"score_gpt":0.24328692516732733,"score_spread":0.22875276677973727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293010070","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09430916,0.0001862276,0.075815655,0.002461841,0.0010418833,0.003957887,0.00019897535,0.0006567561,0.8213716],"genre_scores_gemma":[0.9923204,0.000010853459,0.0030782358,0.000107586944,0.0012934189,0.002891275,0.0000095042105,0.000009832444,0.00027889927],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994829,0.0000046091127,0.00009442834,0.0001739372,0.00012747146,0.00011661299],"domain_scores_gemma":[0.99975944,0.000095851035,0.000018234321,0.00009142399,0.000006784641,0.000028256543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018123591,0.000063969535,0.00006602399,0.000057940746,0.0005954116,0.0000445064,0.00014953327,0.0000123462105,0.00008904091],"category_scores_gemma":[0.000003208699,0.00006000491,0.000015300153,0.00025267413,0.000061933104,0.000034274904,0.000022473629,0.00005122976,0.000019985731],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007827031,0.000080696154,0.000012778745,0.000012549234,0.0000068016057,5.1847216e-8,0.00025760828,0.0043927957,0.11697909,0.39247072,0.05047384,0.43530524],"study_design_scores_gemma":[0.00010596106,0.00007489991,0.000119644355,0.0000015846811,0.000005970844,8.754613e-7,0.0005469981,0.004842934,0.033220105,0.004790082,0.95615864,0.00013228189],"about_ca_topic_score_codex":0.0000018046719,"about_ca_topic_score_gemma":0.000006875813,"teacher_disagreement_score":0.9056848,"about_ca_system_score_codex":0.000024128756,"about_ca_system_score_gemma":0.000011199094,"threshold_uncertainty_score":0.45794845},"labels":[],"label_agreement":null},{"id":"W4293027991","doi":"10.3390/app12178397","title":"Development of an Intelligent Solution for the Optimization of Hybrid Energy Systems","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Ontology; Installation; Structuring; Process (computing); Development (topology); Hybrid system; Software; Energy (signal processing); Software engineering; Systems engineering; Engineering; Mathematics; Machine learning; Programming language","score_opus":0.03229232865367201,"score_gpt":0.2451329285751688,"score_spread":0.2128405999214968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293027991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06660946,0.00053937524,0.9232986,0.000045120443,0.0012901016,0.00047899364,0.000016031281,0.000061588464,0.007660726],"genre_scores_gemma":[0.987106,0.000006444935,0.01211088,0.000017594011,0.00005635339,0.00047549527,0.000027736676,0.000011079376,0.00018837412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984365,0.000072347284,0.0004876272,0.00025516716,0.000541581,0.00020679606],"domain_scores_gemma":[0.9992138,0.0001356231,0.00033044713,0.00022380064,0.000061014554,0.000035326946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013773241,0.000098347555,0.00018196947,0.00011906308,0.00063293386,0.000024235056,0.0005628936,0.000013837834,0.000037164056],"category_scores_gemma":[0.000014175638,0.000072019124,0.00003911885,0.00041498992,0.00016627072,0.00006639732,0.00011748688,0.000030966807,4.948853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015500023,0.00004209169,0.0000027286414,0.000015615442,0.000019786326,1.2261233e-7,0.00034498496,0.91659176,0.007364735,0.06518048,0.000062051,0.010360137],"study_design_scores_gemma":[0.00013739629,0.00007565666,0.0000030891458,0.0000074542504,0.000011118661,0.0000060761363,0.0031211944,0.8434615,0.119585805,0.0001959657,0.033284176,0.000110547204],"about_ca_topic_score_codex":0.0015358818,"about_ca_topic_score_gemma":0.00021781531,"teacher_disagreement_score":0.9204966,"about_ca_system_score_codex":0.00008936691,"about_ca_system_score_gemma":0.00022890275,"threshold_uncertainty_score":0.48680797},"labels":[],"label_agreement":null},{"id":"W4293235215","doi":"10.3390/app12094229","title":"Efficacy of Transistor Interleaving in DICE Flip-Flops at a 22 nm FD SOI Technology Node","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transistor; Silicon on insulator; Dice; Interleaving; CMOS; Electronic engineering; Node (physics); Soft error; Computer science; Materials science; Electrical engineering; Engineering; Optoelectronics; Silicon; Voltage","score_opus":0.005241779077443456,"score_gpt":0.20933933228600632,"score_spread":0.20409755320856288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293235215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902257,0.00033180762,0.0008090379,0.000101081736,0.00016576296,0.00019620104,0.0000028414797,0.00016793265,0.007999652],"genre_scores_gemma":[0.9988877,0.0000064178944,0.00092997914,0.000033879838,0.000012940011,0.00009236031,0.0000017529499,0.000010176106,0.000024770088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900615,0.000020047679,0.0002079183,0.0002185539,0.0002488834,0.00029845932],"domain_scores_gemma":[0.99962044,0.00015374343,0.00004151084,0.00015590798,0.000005590182,0.000022803322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044133866,0.00009558538,0.00015791536,0.00035476938,0.00015879265,0.000008949917,0.00046877548,0.000042175798,0.00008963238],"category_scores_gemma":[0.00002107718,0.00010300587,0.000027847473,0.0012859927,0.00019314657,0.000048943017,0.000072319424,0.00023871684,0.0000074879326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014025185,0.000036130812,0.00032569328,0.000021095559,0.000009620888,0.0000018397271,0.001224406,0.88938403,0.08636088,0.006302049,0.00014960594,0.016170632],"study_design_scores_gemma":[0.0031022155,0.0005490895,0.00674616,0.000057058845,0.000043636093,0.000044779976,0.0032257915,0.7247514,0.20322607,0.0027889484,0.05429518,0.0011696822],"about_ca_topic_score_codex":0.000011961504,"about_ca_topic_score_gemma":0.00006369125,"teacher_disagreement_score":0.16463263,"about_ca_system_score_codex":0.00030763051,"about_ca_system_score_gemma":0.00004506479,"threshold_uncertainty_score":0.42004573},"labels":[],"label_agreement":null},{"id":"W4293414962","doi":"10.3390/app12178576","title":"Evaluation of Different Chemical Mechanisms on O3 and PM2.5 Predictions in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy; Alberta Environment and Protected Areas; University of Calgary","funders":"","keywords":"CMAQ; Ozone; Environmental science; Particulates; Atmospheric sciences; Aerosol; Air quality index; Environmental chemistry; Sulfate; Daytime; Chemical transport model; Pollutant; Meteorology; Chemistry; Ecology; Biology; Geography","score_opus":0.015531529549840172,"score_gpt":0.20595898212809827,"score_spread":0.1904274525782581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293414962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832523,0.000021442365,0.0000111522995,0.00018600849,0.000068722045,0.000111524896,0.000018349961,0.000003373314,0.016327143],"genre_scores_gemma":[0.9997588,0.0000014492207,0.00009459142,0.00007612063,0.000010364385,0.000010141764,0.0000140973725,6.35035e-7,0.000033794317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99879676,0.00003132774,0.00011222957,0.00019180794,0.000742674,0.00012518001],"domain_scores_gemma":[0.99971044,0.0001317422,0.000045229415,0.00006096237,0.000009077279,0.000042540854],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000494355,0.0000575825,0.00007910352,0.000006162378,0.00018874467,0.0000097921875,0.00013762793,0.000013436257,0.0012284305],"category_scores_gemma":[0.000023468941,0.00004655383,0.0000072885696,0.00020418504,0.00009069544,0.000025343264,0.000017698083,0.000077413286,7.3876413e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013805166,0.00029767764,0.110751085,0.00004437886,0.000047228063,0.0000055338355,0.0018688245,0.74811745,0.05946553,0.016267303,0.0014382179,0.06155872],"study_design_scores_gemma":[0.002107815,0.0006715245,0.44113746,0.000033714787,0.00011109059,0.000026208047,0.009164556,0.3947876,0.098341204,0.052151326,0.00065366016,0.0008138365],"about_ca_topic_score_codex":0.1729701,"about_ca_topic_score_gemma":0.33095074,"teacher_disagreement_score":0.35332984,"about_ca_system_score_codex":0.00001907177,"about_ca_system_score_gemma":0.0002388287,"threshold_uncertainty_score":0.9996846},"labels":[],"label_agreement":null},{"id":"W4293415082","doi":"10.3390/app12178603","title":"Leaf Extracts of Cistus ladanifer Exhibit Potent Antioxidant and Antiproliferative Activities against Liver, Prostate and Breast Cancer Cells","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sesquiterpenes and Asteraceae Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"DPPH; Chemistry; Antioxidant; Polyphenol; Ethyl acetate; IC50; Traditional medicine; Food science; Ethanol; Dichloromethane; Proanthocyanidin; Flavonoid; Biochemistry; Pharmacology; In vitro; Biology; Solvent; Medicine","score_opus":0.009713633124601644,"score_gpt":0.23529784808469137,"score_spread":0.22558421496008974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293415082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99606115,0.002551648,0.000013601911,0.00013332332,0.00007073664,0.00019434757,0.00011403557,0.0000043239907,0.0008568662],"genre_scores_gemma":[0.9975863,0.0018238345,0.00012726989,0.0002099234,0.00004258012,0.000045662953,0.000004261336,0.000006203933,0.00015397549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914503,0.00002574828,0.00012345082,0.00034419404,0.00017406212,0.00018753445],"domain_scores_gemma":[0.99974585,0.000015248258,0.00009553976,0.00008130504,0.00002416588,0.00003787879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017030696,0.00011846743,0.00014299765,0.000036878588,0.00041206245,0.000039732884,0.00009619606,0.000019246621,0.00001088607],"category_scores_gemma":[0.0000021653673,0.000096496944,0.000021549997,0.000092537775,0.00042663436,0.0000098253695,0.00032421012,0.000053169977,1.8078306e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000798459,0.000046981448,0.0041838763,0.000024534145,0.00002654838,0.0000030402396,0.0007681221,0.00012452171,0.9850022,0.00012040311,0.00016124995,0.009458666],"study_design_scores_gemma":[0.0009025592,0.0005715069,0.059367105,0.000033763994,0.000034804256,0.00006270666,0.01491952,0.00022973715,0.9194751,0.00007224214,0.0038424728,0.000488472],"about_ca_topic_score_codex":0.00004378451,"about_ca_topic_score_gemma":0.0000321839,"teacher_disagreement_score":0.065527104,"about_ca_system_score_codex":0.0000061836226,"about_ca_system_score_gemma":0.000053864318,"threshold_uncertainty_score":0.39350313},"labels":[],"label_agreement":null},{"id":"W4293791092","doi":"10.3390/app12168248","title":"Big Data Analysis and Visualization: Challenges and Solutions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Big data; Computer science; Visualization; Data science; Core (optical fiber); Data mining; Telecommunications","score_opus":0.6092219036420985,"score_gpt":0.42565579693940025,"score_spread":0.18356610670269824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293791092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31622007,0.09438035,0.2875185,0.2174772,0.0010738311,0.0022615548,0.0031690258,0.0013474331,0.07655205],"genre_scores_gemma":[0.9954421,0.0022471885,0.0019742853,0.00014726033,0.00002531994,0.00005972054,0.000027630245,0.0000023486841,0.00007418242],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99787694,0.000049161386,0.0002398879,0.0008546884,0.0007856081,0.00019371539],"domain_scores_gemma":[0.99834436,0.0004717351,0.00012360363,0.0009801276,0.000026600133,0.000053567655],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030430711,0.00007669809,0.00016121533,0.00046187654,0.001798238,0.00024408383,0.0017891803,0.000026558106,0.00008614869],"category_scores_gemma":[0.000196326,0.000058273552,0.000016471638,0.0034198866,0.0007646058,0.00019796798,0.003541066,0.00008097163,0.000009324652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011491913,0.000025992444,0.00059542595,9.2353963e-7,0.000019735748,2.612732e-7,0.00027354324,0.00005289173,0.0001661815,0.48309764,0.002575342,0.5131909],"study_design_scores_gemma":[0.00020068232,0.00008269944,0.027796188,0.0000015138812,0.00015454437,0.000014786849,0.040794943,0.024864174,0.00008580273,0.3798711,0.52577966,0.00035388395],"about_ca_topic_score_codex":0.000022064318,"about_ca_topic_score_gemma":0.00023026793,"teacher_disagreement_score":0.679222,"about_ca_system_score_codex":0.00000738773,"about_ca_system_score_gemma":0.000039033774,"threshold_uncertainty_score":0.9995013},"labels":[],"label_agreement":null},{"id":"W4293791119","doi":"10.3390/app12168270","title":"Intelligent Decision Forest Models for Customer Churn Prediction","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Random forest; Decision tree; Benchmark (surveying); Incentive; Software deployment; Robustness (evolution); Machine learning; Artificial intelligence; Majority rule; Scalability; Data mining; Operations research; Database; Engineering","score_opus":0.045575764057268105,"score_gpt":0.2618194326055124,"score_spread":0.21624366854824428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293791119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69614804,0.00009265426,0.17053993,0.000700216,0.0021242858,0.001600548,0.000019479288,0.000282139,0.12849273],"genre_scores_gemma":[0.9973435,0.00000388637,0.00079948135,0.0010736929,0.0003162322,0.00024319743,0.000039971375,0.000009392304,0.00017066608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988336,0.000002927788,0.00019350222,0.00029180612,0.00046586947,0.0002123244],"domain_scores_gemma":[0.99969316,0.00005306602,0.0001101128,0.00009611102,0.00003794772,0.000009598077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069266546,0.00009039889,0.000088472814,0.0002742289,0.0010228722,0.00021129745,0.00028313312,0.000017605376,0.0002296339],"category_scores_gemma":[0.000011862969,0.00008027592,0.00004839762,0.0006751333,0.000072034745,0.00062193995,0.00016896031,0.00006386911,0.000077720935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018671328,0.00018948622,0.0043557305,0.000048844948,0.000015244437,8.701247e-7,0.00040565582,0.28684318,0.0027219288,0.56269556,0.0291732,0.113363594],"study_design_scores_gemma":[0.00090805884,0.000054505294,0.0021826713,0.000010327167,0.000050232335,0.000002378142,0.0053013465,0.65584946,0.0003299247,0.15909272,0.17586604,0.00035232512],"about_ca_topic_score_codex":0.0000548176,"about_ca_topic_score_gemma":0.000046991543,"teacher_disagreement_score":0.40360284,"about_ca_system_score_codex":0.000047640515,"about_ca_system_score_gemma":0.000026511252,"threshold_uncertainty_score":0.7867209},"labels":[],"label_agreement":null},{"id":"W4293791135","doi":"10.3390/app12168256","title":"Serial Decoders-Based Auto-Encoders for Image Reconstruction","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Lossless compression; Encoder; Decoding methods; Artificial intelligence; Residual; Iterative reconstruction; Cascade; Algorithm; Image compression; Computer vision; Data compression; Pattern recognition (psychology); Image (mathematics); Image processing; Engineering","score_opus":0.03035883774656159,"score_gpt":0.2906182362045486,"score_spread":0.26025939845798696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293791135","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010511423,0.000018278637,0.97986394,0.0009451679,0.0013110073,0.0002979327,0.000004835513,0.00017054155,0.0068768775],"genre_scores_gemma":[0.22701903,5.2310725e-7,0.7716628,0.00096351275,0.00008433335,0.00016596992,0.00000209901,0.0000061662554,0.000095611926],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983813,0.000108608074,0.00019776908,0.00053609547,0.00042486194,0.00035133775],"domain_scores_gemma":[0.999246,0.00028300373,0.00011069097,0.00026054506,0.000040080584,0.00005965864],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021427893,0.00011322752,0.00013774248,0.00017309494,0.0015628868,0.0003489514,0.001135958,0.000025639922,0.00007231253],"category_scores_gemma":[0.000046717345,0.000108685366,0.0000738348,0.0007645352,0.0002703643,0.0004099805,0.00017739151,0.000113684866,0.000009948295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017202644,0.0001246544,0.000049206188,0.000029220997,0.000016373377,0.000012229606,0.001428899,0.01882675,0.3585941,0.13226809,0.006504623,0.48197386],"study_design_scores_gemma":[0.002021034,0.0004693447,0.00007219293,0.000005997488,0.0000140628745,0.00005306323,0.00087193004,0.80537903,0.07693288,0.103836015,0.009797305,0.00054713414],"about_ca_topic_score_codex":0.000014790343,"about_ca_topic_score_gemma":0.0000028954923,"teacher_disagreement_score":0.7865523,"about_ca_system_score_codex":0.000057522055,"about_ca_system_score_gemma":0.0003243395,"threshold_uncertainty_score":0.99973696},"labels":[],"label_agreement":null},{"id":"W4293791161","doi":"10.3390/app12168265","title":"Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Spectrogram; Feature extraction; Feature selection; Speech recognition; Emotion classification; Multilayer perceptron; Perceptron; Convolutional neural network; Pattern recognition (psychology); Support vector machine; Transfer of learning; Dimensionality reduction; Artificial neural network; Machine learning","score_opus":0.051694133940574725,"score_gpt":0.24987223619687413,"score_spread":0.1981781022562994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293791161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.135135,0.000026782465,0.85967124,0.0011182751,0.00018961291,0.00012006334,2.758058e-7,0.0001732809,0.0035654916],"genre_scores_gemma":[0.926111,6.6576047e-7,0.073110685,0.00060417835,0.00006208937,0.000019532026,0.0000029277737,0.0000056656436,0.000083292194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983958,0.00007795429,0.00013767951,0.00051775895,0.00059338164,0.0002774189],"domain_scores_gemma":[0.9996636,0.00005310015,0.000072952455,0.00012348936,0.000039166913,0.00004772815],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008241927,0.00010977848,0.000100187426,0.0001735464,0.0025157372,0.00032214908,0.0006310533,0.00003696706,0.00009121838],"category_scores_gemma":[0.00001026689,0.00010540286,0.000036862686,0.0018538234,0.00011087369,0.0003344255,0.000068746005,0.00030538527,0.0000062815393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006424043,0.000062721665,0.001325349,0.000017016639,0.000004635743,0.000001925234,0.0012311988,0.81323254,0.07307802,0.022869179,0.0002440379,0.08792693],"study_design_scores_gemma":[0.0001442753,0.000044743418,0.00077159563,0.000005159944,0.000005123396,0.000014031022,0.00054880173,0.9893876,0.006575442,0.0006175909,0.0017188233,0.00016681924],"about_ca_topic_score_codex":0.000013755764,"about_ca_topic_score_gemma":0.000007151173,"teacher_disagreement_score":0.790976,"about_ca_system_score_codex":0.00010095738,"about_ca_system_score_gemma":0.00023519968,"threshold_uncertainty_score":0.9987829},"labels":[],"label_agreement":null},{"id":"W4294343895","doi":"10.3390/app12178725","title":"Investigation of Behavior of Masonry Walls Constructed with Autoclaved Aerated Concrete Blocks under Blast Loading","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Masonry; Structural engineering; Autoclaved aerated concrete; Unreinforced masonry building; Shear wall; Composite material; Displacement (psychology); Ultimate tensile strength; Geotechnical engineering; Engineering","score_opus":0.014618675928354075,"score_gpt":0.21352202575142815,"score_spread":0.19890334982307406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294343895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776,0.0000220311,0.00018662374,0.000016348782,0.000093669914,0.0002809674,0.000022437267,0.00011215337,0.00150579],"genre_scores_gemma":[0.996999,9.973373e-7,0.0028686963,0.000021802478,0.000006324194,0.000053379557,0.00000902858,0.00001264622,0.000028120141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880946,0.000033002976,0.00027990664,0.00020439991,0.00046059006,0.00021264156],"domain_scores_gemma":[0.9994966,0.00014011248,0.00012334426,0.00014157295,0.0000419444,0.000056455407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545429,0.00013290033,0.00021122619,0.00016764733,0.00014515706,0.000019332092,0.0002780731,0.000037651535,0.00029909323],"category_scores_gemma":[0.000011953535,0.00011557206,0.000023054721,0.00091371074,0.00074519956,0.00007508349,0.000060384027,0.00014861352,0.0000012320955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031550928,8.1781775e-7,0.0025252139,0.000014264451,0.000020836032,0.0000017906808,0.00047273224,0.036565293,0.9575161,0.0025662526,0.000020126288,0.0002650694],"study_design_scores_gemma":[0.0012185238,0.0002905443,0.024734462,0.000037761834,0.00008459986,0.00006603577,0.0039111073,0.1044529,0.8639441,0.0007680511,0.000026213522,0.0004657005],"about_ca_topic_score_codex":0.000033316068,"about_ca_topic_score_gemma":0.000005796232,"teacher_disagreement_score":0.093571946,"about_ca_system_score_codex":0.00008107377,"about_ca_system_score_gemma":0.00015745341,"threshold_uncertainty_score":0.4712892},"labels":[],"label_agreement":null},{"id":"W4294867459","doi":"10.3390/app12178844","title":"Enhancement of In-Plane Seismic Full Waveform Inversion with CPU and GPU Parallelization","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inversion (geology); Computation; Waveform; CUDA; Computer science; Conjugate gradient method; Computational science; Parallel computing; Finite difference; Algorithm; Finite difference method; Mathematical analysis; Mathematics; Geology; Seismology","score_opus":0.010990550825643843,"score_gpt":0.19846823181727477,"score_spread":0.18747768099163092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294867459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864445,0.00009205527,0.0006716494,0.0003568306,0.000051094285,0.00014736013,0.0000055267783,0.000023567778,0.012207427],"genre_scores_gemma":[0.997356,0.00006366245,0.0017179031,0.0007623551,0.000005964785,0.0000035803328,0.000028300341,0.0000010745023,0.00006116905],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991451,0.000024199177,0.00013047662,0.00021193523,0.00033056966,0.00015774253],"domain_scores_gemma":[0.99977005,0.000038188915,0.00007887131,0.00007170087,0.000008432272,0.000032780656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004662958,0.00006905316,0.00009835201,0.00014915704,0.00025257288,0.000017347451,0.0001708678,0.000013592158,0.00056052185],"category_scores_gemma":[0.0000027588867,0.000051457973,0.000008089611,0.00040345415,0.00022371656,0.00011337368,0.000028914383,0.00007492449,0.000007186427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008439565,0.00021235067,0.4646937,0.0001566361,0.000028518825,0.000024655916,0.007100681,0.03709363,0.015725514,0.003811666,0.012585791,0.4577229],"study_design_scores_gemma":[0.0032058314,0.006055525,0.06636724,0.00012918921,0.000044827742,0.00012697146,0.025346713,0.67022157,0.14432336,0.01866359,0.06407183,0.0014433555],"about_ca_topic_score_codex":0.0015748005,"about_ca_topic_score_gemma":0.00006541408,"teacher_disagreement_score":0.6331279,"about_ca_system_score_codex":0.000007129731,"about_ca_system_score_gemma":0.00004413083,"threshold_uncertainty_score":0.6137321},"labels":[],"label_agreement":null},{"id":"W4294953629","doi":"10.3390/app12189025","title":"Calculating Bias-Free Volumetric Fracture Counts (VFCs) in Underground Works and Their Use in Estimating Rock Mass Strength and Deformability Parameters","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Geological Strength Index; Chart; Rock mass classification; Deformation (meteorology); Geotechnical engineering; Reliability (semiconductor); Geology; Measure (data warehouse); Statistics; Mathematics; Computer science; Physics; Data mining","score_opus":0.030528639738236916,"score_gpt":0.2227376908686064,"score_spread":0.19220905113036948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294953629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588599,0.00019442868,0.04058738,0.000010523819,0.000074608615,0.00010172128,0.0000026689975,0.000028265142,0.00014045247],"genre_scores_gemma":[0.9887727,0.000013090128,0.0111473,0.000034225868,0.0000064127835,0.000016787186,0.0000012191555,0.000006729237,0.0000015177941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993114,0.0000145783915,0.00015371598,0.0001893044,0.00013859032,0.00019241945],"domain_scores_gemma":[0.99960333,0.00023943199,0.000028748987,0.00009773826,0.000004053541,0.000026669475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000505239,0.00008895334,0.00011136938,0.00015429885,0.00017645229,0.000106778105,0.00012471888,0.00003275036,0.0000049119894],"category_scores_gemma":[0.00006894822,0.00007824141,0.000009606853,0.0004306992,0.000017172619,0.00015796928,0.000103131366,0.00021642874,2.3850927e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012251903,0.0000048489524,0.0020187348,0.000011853149,0.0000018565672,4.632416e-7,0.00055657706,0.9899539,0.00016738537,0.00015350914,0.000006550523,0.007123103],"study_design_scores_gemma":[0.00011951935,0.00000889845,0.00054146984,0.000014951476,0.0000013561036,0.0000014068264,0.0016348343,0.9936991,0.00006355158,0.0038067785,0.000012162583,0.00009597394],"about_ca_topic_score_codex":0.000117286974,"about_ca_topic_score_gemma":0.00012011822,"teacher_disagreement_score":0.029912768,"about_ca_system_score_codex":0.00006313975,"about_ca_system_score_gemma":0.000014540349,"threshold_uncertainty_score":0.31905922},"labels":[],"label_agreement":null},{"id":"W4294956262","doi":"10.3390/app12178870","title":"Towards Enabling Fault Tolerance and Reliable Green Communications in Next-Generation Wireless Systems","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Computer science; Wireless; Base station; Fault tolerance; Wireless sensor network; Node (physics); Distributed computing; Real-time computing; Computer network; Engineering; Telecommunications","score_opus":0.05479850875444793,"score_gpt":0.24956806561695463,"score_spread":0.1947695568625067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294956262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982258,0.0030499534,0.0013774713,0.00014207148,0.0003895026,0.00020146019,0.0000035942448,0.00021326289,0.012364636],"genre_scores_gemma":[0.9974536,0.00024318724,0.001842769,0.000050171413,0.0000775507,0.00024941773,0.0000096644135,0.000013344606,0.00006032444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990576,0.0000370524,0.00021755921,0.00021775844,0.00023999049,0.00023005201],"domain_scores_gemma":[0.99955666,0.00007292452,0.000040692867,0.000279126,0.0000131962315,0.000037419413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006581794,0.000097640186,0.000133106,0.00010489274,0.00054051046,0.0001432571,0.000507376,0.00003450174,0.000004959845],"category_scores_gemma":[0.00000467628,0.000105448016,0.000009816033,0.0007035664,0.00014398413,0.00018447271,0.00018736797,0.00022921117,0.0000015685702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.0269306e-7,0.0000074995673,0.0003261753,0.000015640599,0.0000021611168,6.543245e-7,0.00037509215,0.9685173,0.012035106,0.013967052,0.00011371364,0.0046388814],"study_design_scores_gemma":[0.00010318582,0.000010712127,0.0001322732,0.00001898762,0.0000021551618,0.0000043912955,0.00064217026,0.99517286,0.00052668265,0.00013152673,0.003117226,0.00013785808],"about_ca_topic_score_codex":0.00058128947,"about_ca_topic_score_gemma":0.00025257032,"teacher_disagreement_score":0.02665551,"about_ca_system_score_codex":0.00007533569,"about_ca_system_score_gemma":0.00003192594,"threshold_uncertainty_score":0.43000454},"labels":[],"label_agreement":null},{"id":"W4294988635","doi":"10.3390/app12178879","title":"Wideband Tympanometry in Adults with Severe to Profound Hearing Loss with and without Cochlear Implants","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tympanometry; Audiology; Medicine; Sensorineural hearing loss; Cochlear implantation; Hearing loss; Cochlear implant; Audiometry","score_opus":0.016703868845352153,"score_gpt":0.25646491356374485,"score_spread":0.23976104471839269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294988635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99110675,0.00007172633,0.000014565903,0.00028330606,0.000051886807,0.0004446698,0.000004357513,0.000024484269,0.00799826],"genre_scores_gemma":[0.998178,0.000007236729,0.0008414025,0.00059817353,0.000027447591,0.00006431065,0.0000034823513,0.00000971974,0.0002702252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987638,0.000017708673,0.00011470354,0.0003658954,0.0004448005,0.0002930727],"domain_scores_gemma":[0.99962664,0.000058235502,0.000038977683,0.000115544295,0.000014200486,0.00014638781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041339337,0.00010541966,0.00021420678,0.00019059345,0.00025459137,0.00003200722,0.000090789596,0.000018840332,0.0000707709],"category_scores_gemma":[0.000014300191,0.00007225546,0.000007752114,0.00082990923,0.000226479,0.00007672691,0.00007833741,0.00017508637,0.000007385264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080182496,0.0000453186,0.99428946,0.000044588054,0.00000818032,0.00007606226,0.0017149969,0.00010112867,0.00042948447,0.00022248151,0.000054031305,0.0022124199],"study_design_scores_gemma":[0.0022991733,0.0012075948,0.98696464,0.00030376035,0.000017529219,0.001207059,0.005973689,0.000059184502,0.00091141905,0.000062367864,0.0007124193,0.00028115185],"about_ca_topic_score_codex":0.000085532934,"about_ca_topic_score_gemma":0.0002844713,"teacher_disagreement_score":0.007728034,"about_ca_system_score_codex":0.000031376578,"about_ca_system_score_gemma":0.00014708414,"threshold_uncertainty_score":0.29464924},"labels":[],"label_agreement":null},{"id":"W4295122507","doi":"10.3390/app12188980","title":"Secure Smart Communication Efficiency in Federated Learning: Achievements and Challenges","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Bottleneck; Computer science; Federated learning; Bridge (graph theory); Computer security; Artificial intelligence","score_opus":0.050089985505696974,"score_gpt":0.27150800911364825,"score_spread":0.22141802360795126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295122507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8334337,0.006915764,0.013316154,0.10931968,0.00028945183,0.0008277423,0.000005231651,0.0013483359,0.034543976],"genre_scores_gemma":[0.9769609,0.0005322787,0.02226364,0.00013652082,0.0000026131884,0.00008473932,0.0000035709709,0.0000036304446,0.000012099643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837554,0.00015243432,0.00017743208,0.00054549123,0.00044960025,0.0002995271],"domain_scores_gemma":[0.99805474,0.0001777715,0.00010128162,0.0016224092,0.000013279353,0.000030515881],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0018856515,0.000104656094,0.000116797644,0.0002139795,0.0011782075,0.00019945974,0.014602126,0.000036844413,0.000010772093],"category_scores_gemma":[0.000805957,0.00010176764,0.0000100701745,0.0010898863,0.00031199123,0.00032583027,0.056083348,0.0003914152,0.000005680391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029312287,0.00082877325,0.021481957,0.00008210315,0.00002893014,0.000023934115,0.007973767,0.0026043004,0.0068460633,0.5999559,0.011503749,0.34864122],"study_design_scores_gemma":[0.0012010445,0.00061809673,0.019296067,0.000036956902,0.0000049636046,0.000031318414,0.009777565,0.4788455,0.002555288,0.46133676,0.0254214,0.000875055],"about_ca_topic_score_codex":0.000037155227,"about_ca_topic_score_gemma":0.00004116055,"teacher_disagreement_score":0.4762412,"about_ca_system_score_codex":0.00005368394,"about_ca_system_score_gemma":0.000056440196,"threshold_uncertainty_score":0.99072933},"labels":[],"label_agreement":null},{"id":"W4295765452","doi":"10.3390/app12189218","title":"Design and SAR Analysis of a Dual Band Wearable Antenna for WLAN Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Ground plane; Multi-band device; Bandwidth (computing); Acoustics; Microstrip antenna; Antenna (radio); Physics; Optoelectronics; Computer science; Electrical engineering; Engineering; Telecommunications","score_opus":0.02271885437213091,"score_gpt":0.2343766269791618,"score_spread":0.2116577726070309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295765452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020136282,0.00039650526,0.97866225,0.000037499707,0.000010828337,0.00024066686,0.000019530025,0.00004552346,0.00045093565],"genre_scores_gemma":[0.9904326,0.000040093186,0.009261556,0.000029011895,0.000008585102,0.00015520476,0.0000052074993,0.0000049554637,0.0000627614],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937326,0.000011725732,0.00013703182,0.00017662074,0.00015461407,0.00014677459],"domain_scores_gemma":[0.9997086,0.00011376399,0.000033633707,0.00009626749,0.000013596896,0.00003414657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708813,0.00006590022,0.0001817265,0.00028061715,0.0003124287,0.000024939174,0.0001394136,0.000013435994,0.0000539382],"category_scores_gemma":[0.0000026404944,0.000060245693,0.00005273829,0.0016344601,0.00012246602,0.000035941965,0.000021060492,0.000039302962,9.896112e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014846332,0.000039954743,0.0006612259,0.000026543314,0.0005405042,4.6459027e-7,0.0006549438,0.051991627,0.9392875,0.005134392,0.00010337669,0.0015446371],"study_design_scores_gemma":[0.000096357784,0.000031237036,0.00023629484,9.91796e-7,0.00030359908,7.2242966e-7,0.0011602223,0.996393,0.0005328921,0.0008139768,0.00033646318,0.00009423498],"about_ca_topic_score_codex":0.000009714473,"about_ca_topic_score_gemma":0.0000026891755,"teacher_disagreement_score":0.9702963,"about_ca_system_score_codex":0.000011235887,"about_ca_system_score_gemma":0.00001538505,"threshold_uncertainty_score":0.2456748},"labels":[],"label_agreement":null},{"id":"W4295956457","doi":"10.3390/app12189210","title":"The Role of Knee Flexors Hypertonia in the Decision-Making of Hamstring Lengthening Surgery for Individuals with Cerebral Palsy","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workers Compensation Board of Alberta","funders":"","keywords":"Hamstring; Hypertonia; Medicine; Cerebral palsy; Physical medicine and rehabilitation; Knee flexion; Physical therapy; Anesthesia","score_opus":0.019104300586154477,"score_gpt":0.2676062805652972,"score_spread":0.24850197997914275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295956457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952164,0.00046512563,0.000083207546,0.00040233566,0.000044227498,0.00058089703,0.0000060568404,0.0000074709083,0.0031942339],"genre_scores_gemma":[0.99855006,0.0000096530885,0.0009730882,0.00029388844,0.000014570247,0.00014238221,0.0000020054467,0.0000060189964,0.000008326625],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9985989,0.000039254795,0.0003139515,0.0001923524,0.0006105254,0.0002450608],"domain_scores_gemma":[0.99754703,0.0020515812,0.00019157049,0.0001755915,0.00001873639,0.000015500604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025108976,0.000085987514,0.00021924265,0.00012789028,0.000512322,0.000021652975,0.00029114267,0.000016807426,0.000028401584],"category_scores_gemma":[0.00013910941,0.000044621534,0.00006666858,0.0006470192,0.0002911357,0.000047239097,0.00008657623,0.00011296648,2.4197058e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000684541,0.0002704543,0.6406695,0.00006846759,0.00010440119,0.0000020093646,0.010269178,0.0030057828,0.0037013977,0.039253727,0.0003393884,0.30163115],"study_design_scores_gemma":[0.006445491,0.0025118887,0.27575243,0.00093961967,0.00036309956,0.000056496745,0.5483429,0.004214113,0.017141415,0.098987915,0.04429582,0.0009488206],"about_ca_topic_score_codex":0.000039791394,"about_ca_topic_score_gemma":0.00008016454,"teacher_disagreement_score":0.5380737,"about_ca_system_score_codex":0.000013750082,"about_ca_system_score_gemma":0.00014541745,"threshold_uncertainty_score":0.39404184},"labels":[],"label_agreement":null},{"id":"W4296087229","doi":"10.3390/app12189017","title":"Evidence-Based Software Engineering: A Checklist-Based Approach to Assess the Abstracts of Reviews Self-Identifying as Systematic Reviews","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software Engineering Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Systematic review; Checklist; Computer science; Management science; Data science; Engineering ethics; Psychology; Risk analysis (engineering); MEDLINE; Medicine; Political science; Engineering; Cognitive psychology","score_opus":0.16820838240296807,"score_gpt":0.3307259528974853,"score_spread":0.16251757049451723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296087229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013639681,0.014307249,0.9624291,0.0005172674,0.00064177887,0.0073424866,0.0000034537347,0.00069630594,0.00042264358],"genre_scores_gemma":[0.7585072,0.0000650161,0.23673965,0.00056186545,0.000040268405,0.0040171226,0.0000015873094,0.00002133141,0.00004595067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951568,0.00042441455,0.0010034733,0.00084461743,0.001955027,0.00061564695],"domain_scores_gemma":[0.99302346,0.0047652083,0.0004685413,0.0014427846,0.00010163101,0.00019840377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015600133,0.0003045193,0.00072910014,0.0004236029,0.0006070539,0.00043896498,0.0051522683,0.000042977423,0.000018567434],"category_scores_gemma":[0.007974318,0.00021050284,0.0001980399,0.00395215,0.000107122665,0.00035057453,0.0006707531,0.00041904027,0.000083976614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019581184,0.0006829597,0.00150072,0.060081348,0.00007057825,0.000020227824,0.0049906783,0.89432454,0.009453123,0.020289095,0.0051573385,0.0034097938],"study_design_scores_gemma":[0.0020136915,0.0017646932,0.013591089,0.03444911,0.0003971897,0.00018939626,0.0014688411,0.8280394,0.043645933,0.00068458956,0.068376556,0.005379497],"about_ca_topic_score_codex":0.000028008197,"about_ca_topic_score_gemma":8.1974696e-7,"teacher_disagreement_score":0.7448675,"about_ca_system_score_codex":0.00021533466,"about_ca_system_score_gemma":0.00052630174,"threshold_uncertainty_score":0.9574282},"labels":[],"label_agreement":null},{"id":"W4296252803","doi":"10.3390/app12189361","title":"Underwater Compressed Gas Energy Storage (UWCGES): Current Status, Challenges, and Future Perspectives","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Windsor","funders":"","keywords":"Underwater; Environmental science; Compressed natural gas; Energy storage; Current (fluid); Fossil fuel; Compressed air energy storage; Compressed air; Computer science; Engineering; Waste management; Oceanography; Mechanical engineering; Electrical engineering; Geology","score_opus":0.021342817987931636,"score_gpt":0.2236548458163913,"score_spread":0.20231202782845967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296252803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76464427,0.18038252,0.00013285666,0.0060112695,0.0012960681,0.00042334833,0.00016513879,0.00018413881,0.046760384],"genre_scores_gemma":[0.9903951,0.009029297,0.0001441179,0.00012293011,0.00019215004,0.000006255434,0.000026580225,0.000002943224,0.000080569225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984715,0.00016267115,0.00012064032,0.00046392935,0.00044399776,0.00033724713],"domain_scores_gemma":[0.9994826,0.000160297,0.000071687995,0.0001413477,0.000014592594,0.00012953147],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045207393,0.00013508723,0.00013784505,0.00013746397,0.0009889557,0.00009492367,0.00028419535,0.000022607515,0.0012524008],"category_scores_gemma":[0.0000039075444,0.0000968781,0.000027051348,0.00024687417,0.0004154922,0.00012280578,0.000049028753,0.00014143247,0.000013771075],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019165152,0.00015710188,0.002369123,0.00004330001,0.00003055196,0.000010678605,0.012765335,0.004378509,0.0007495969,0.09515424,0.0018804792,0.88226944],"study_design_scores_gemma":[0.00047005908,0.00036226146,0.14579624,0.0000048315555,0.000014326569,0.000019882033,0.046493158,0.005271574,0.00017920828,0.004663219,0.7962805,0.00044473924],"about_ca_topic_score_codex":0.000104836894,"about_ca_topic_score_gemma":0.00012703263,"teacher_disagreement_score":0.8818247,"about_ca_system_score_codex":0.000008729437,"about_ca_system_score_gemma":0.00007387771,"threshold_uncertainty_score":0.9996606},"labels":[],"label_agreement":null},{"id":"W4296312576","doi":"10.3390/app12189288","title":"Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hilbert–Huang transform; Computer science; Artificial neural network; Noise (video); Mean absolute percentage error; Term (time); Mode (computer interface); Artificial intelligence; Selection (genetic algorithm); Electric power system; White noise; Power (physics)","score_opus":0.019250747347459466,"score_gpt":0.22760118871693494,"score_spread":0.20835044136947548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296312576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97713405,0.000051672836,0.019240275,0.000004683331,0.000060130522,0.00013713397,0.0000035914663,0.00013740108,0.003231047],"genre_scores_gemma":[0.9955512,0.000002089499,0.0042482396,0.000031469986,0.000046611734,0.00007581314,0.0000107402775,0.000021994072,0.000011792314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988698,0.00002170019,0.00018723767,0.00029901476,0.00029587603,0.00032640542],"domain_scores_gemma":[0.9996664,0.00010229387,0.00004466979,0.00008229924,0.000029559786,0.00007481103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067061855,0.000129988,0.0001423543,0.00015488951,0.0007129877,0.000052774787,0.00019316976,0.000022875836,0.000009995248],"category_scores_gemma":[0.000019594983,0.0001344684,0.000026611893,0.0004122133,0.00004957403,0.0001608054,0.000026678521,0.00017077224,1.7195875e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019083083,0.00002104111,0.0005225795,0.000018012472,0.0000035337503,4.284636e-7,0.0002545067,0.92080927,0.04354885,0.00052758964,0.000005287887,0.034269825],"study_design_scores_gemma":[0.00017916583,0.00041303717,0.000113966424,0.0000058453998,0.0000082141605,0.000005987938,0.00013195681,0.9696816,0.028812636,0.00042396205,0.00006141596,0.00016216893],"about_ca_topic_score_codex":0.000010259879,"about_ca_topic_score_gemma":0.00002668437,"teacher_disagreement_score":0.04887238,"about_ca_system_score_codex":0.000054714073,"about_ca_system_score_gemma":0.000050911127,"threshold_uncertainty_score":0.5483797},"labels":[],"label_agreement":null},{"id":"W4296741026","doi":"10.3390/app12199462","title":"Agile Software Development in Healthcare: A Synthetic Scoping Review","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health care; Agile software development; Software development; Health informatics; Software development process; Data science; Knowledge management; Scopus; Computer science; Software; Software engineering; Political science; MEDLINE","score_opus":0.036137599844786504,"score_gpt":0.3052645245058959,"score_spread":0.26912692466110943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296741026","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008138545,0.06393547,0.898933,0.019352496,0.0011206301,0.003175465,0.0000027899555,0.0026276454,0.002713932],"genre_scores_gemma":[0.40711874,0.0010629387,0.5859575,0.0046491,0.000016336558,0.0011571099,0.0000016081576,0.000010605324,0.000026055985],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846643,0.000064367654,0.0002588588,0.00042346385,0.00048709888,0.00029977754],"domain_scores_gemma":[0.99925715,0.0002886995,0.00009952044,0.00028917135,0.000012931695,0.000052509746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089188,0.00009977877,0.00016407575,0.00013664784,0.0004560388,0.00008006171,0.0012460587,0.000015353802,0.000039762785],"category_scores_gemma":[0.00009424824,0.000095478994,0.000020481551,0.001248222,0.000042852396,0.00022133364,0.00060211594,0.00018819008,0.0000135329665],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008628682,0.00027298127,0.002684707,0.0048513706,0.000013804421,0.0000868533,0.0027444514,0.0045293313,0.00025507624,0.23691888,0.003970921,0.743663],"study_design_scores_gemma":[0.0032776343,0.0028368924,0.009247851,0.10253034,0.000073738905,0.0015429755,0.0009135119,0.027414383,0.03082392,0.13473314,0.67393506,0.012670562],"about_ca_topic_score_codex":0.000038564,"about_ca_topic_score_gemma":0.0000132966525,"teacher_disagreement_score":0.73099244,"about_ca_system_score_codex":0.00008389022,"about_ca_system_score_gemma":0.00036940837,"threshold_uncertainty_score":0.38935205},"labels":[],"label_agreement":null},{"id":"W4297152129","doi":"10.3390/app12199589","title":"Erosion Resistant Hydrophobic Coatings for Passive Ice Protection of Aircraft","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Ministère de la Défense Nationale","keywords":"Materials science; Composite material; Polyurethane; Ultimate tensile strength; Coating; Thermal stability; Contact angle; Polydimethylsiloxane; X-ray photoelectron spectroscopy; Polymer; Fluoropolymer; Chemical engineering","score_opus":0.017603569575723423,"score_gpt":0.2185897792721432,"score_spread":0.20098620969641978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297152129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642833,0.000028401759,0.03220358,0.00015818577,0.00021703166,0.00045227617,0.000008500959,0.00056872354,0.002080023],"genre_scores_gemma":[0.9965097,0.0000024796473,0.0031516512,0.00001592942,0.000011958057,0.000273566,0.0000010814931,0.0000072863745,0.000026367723],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936056,0.000006314022,0.00013300356,0.00014868237,0.00019721541,0.00015423367],"domain_scores_gemma":[0.9997586,0.000058432845,0.000052820043,0.00010502892,0.000014283172,0.000010821478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030015677,0.00006533943,0.000098875345,0.000106696796,0.00040866685,0.000014084789,0.00020258209,0.000026576272,0.000005032725],"category_scores_gemma":[0.00002625383,0.00005886423,0.000023434379,0.00042990266,0.000118448035,0.00003224335,0.000060037033,0.00009623286,0.0000015066388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018844275,0.000011029261,0.000017208109,0.000052690986,0.000002801218,2.4393498e-7,0.00040107768,0.04537666,0.941939,0.0041876202,0.00070066843,0.0072921636],"study_design_scores_gemma":[0.00017357476,0.00028359273,0.00010681486,0.000015685526,0.000006586871,0.0000017342253,0.0021673231,0.021264274,0.96848845,0.0059009795,0.0014640003,0.00012699173],"about_ca_topic_score_codex":0.00004576785,"about_ca_topic_score_gemma":0.0000066056027,"teacher_disagreement_score":0.032226402,"about_ca_system_score_codex":0.000042286883,"about_ca_system_score_gemma":0.000017592265,"threshold_uncertainty_score":0.31431764},"labels":[],"label_agreement":null},{"id":"W4297154489","doi":"10.3390/app12199542","title":"BIM for Facilities Management: An Investigation into the Asset Information Delivery Process and the Associated Challenges","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fraser Health Authority","keywords":"Building information modeling; Asset (computer security); Process management; Process (computing); Context (archaeology); Business; Facility management; Asset management; Knowledge management; Risk analysis (engineering); Quality (philosophy); Computer science; Operations management; Engineering; Computer security; Marketing","score_opus":0.014898337113708731,"score_gpt":0.206171406099654,"score_spread":0.1912730689859453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297154489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892064,0.00032315007,0.000975176,0.0010609396,0.00019828335,0.00053665746,0.000013431014,0.00012989156,0.0075560743],"genre_scores_gemma":[0.9991069,0.00007319748,0.00012221985,0.00011301451,0.000011203542,0.00053773174,0.00001644348,0.0000017500294,0.000017551198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99956685,0.000022447271,0.00009915613,0.000066774715,0.00017147495,0.000073300784],"domain_scores_gemma":[0.9998223,0.00005844526,0.0000347632,0.000051880925,0.000021461807,0.000011105812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006402998,0.000048996124,0.00004213206,0.00004948016,0.00075053994,0.000106719104,0.00014113657,0.0000143160005,0.000006559419],"category_scores_gemma":[0.0000069798807,0.000029765537,0.000009540227,0.0001740578,0.0002406753,0.00038010944,0.00002025514,0.000055988505,9.319108e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012655077,0.0000029091113,0.00005886383,0.000051107767,0.000019946521,1.1493437e-8,0.034870017,0.012428643,0.00005007318,0.85419405,0.00015043744,0.0981613],"study_design_scores_gemma":[0.00089184416,0.000075975964,0.0021313848,0.0000079159645,0.00003177404,0.00000255184,0.3984801,0.2407529,0.0006539794,0.3477382,0.009010706,0.00022268698],"about_ca_topic_score_codex":0.000021408132,"about_ca_topic_score_gemma":0.00007555231,"teacher_disagreement_score":0.50645584,"about_ca_system_score_codex":0.00001986671,"about_ca_system_score_gemma":0.000011207252,"threshold_uncertainty_score":0.5772622},"labels":[],"label_agreement":null},{"id":"W4297268591","doi":"10.3390/app12199726","title":"An Efficient FPGA Implementation of MUSIC Processor Using Cyclic Jacobi Method: LiDAR Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Singular value decomposition; Field-programmable gate array; Eigenvalues and eigenvectors; Singular value; Lidar; Position (finance); Algorithm; Jacobian matrix and determinant; Jacobi method; Jacobi eigenvalue algorithm; Mathematical optimization; Mathematics; Computer hardware; Applied mathematics","score_opus":0.04063495712668336,"score_gpt":0.37728068449618035,"score_spread":0.336645727369497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297268591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13200244,0.000015844942,0.86584234,0.0000541061,0.0000660618,0.0005950869,0.0000082771785,0.00016354275,0.0012523264],"genre_scores_gemma":[0.6572017,4.6086436e-7,0.34245208,0.0000464282,0.00000934776,0.00028191687,0.0000021532799,0.000003886772,0.000002029831],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819,0.00009068271,0.00039487588,0.0004462997,0.00068529433,0.00019286826],"domain_scores_gemma":[0.99895144,0.00009970968,0.00042981666,0.00037146691,0.00009641553,0.000051176175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014865471,0.000101217935,0.00016038175,0.00035295013,0.000580012,0.00006783758,0.0012188863,0.000019235458,0.000056068297],"category_scores_gemma":[0.000008611666,0.00010161806,0.00003828957,0.002365596,0.00016941287,0.0002879497,0.00025953827,0.00007496548,0.0000016404981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066695266,0.0003988857,0.00039708943,0.00006690593,0.000014155847,3.0525266e-7,0.005321734,0.08878272,0.29536328,0.24045987,0.000050670664,0.36913773],"study_design_scores_gemma":[0.00016782478,0.00023763158,0.0011291072,0.0000059221143,0.000015173473,0.000007863796,0.0024197078,0.16450341,0.8165901,0.014355453,0.00034954998,0.00021825865],"about_ca_topic_score_codex":0.00017147756,"about_ca_topic_score_gemma":0.000008547391,"teacher_disagreement_score":0.52519923,"about_ca_system_score_codex":0.000063801264,"about_ca_system_score_gemma":0.0002521468,"threshold_uncertainty_score":0.4461042},"labels":[],"label_agreement":null},{"id":"W4297347609","doi":"10.3390/app12199670","title":"A Novel Mechanical Fault Diagnosis Based on Transfer Learning with Probability Confidence Convolutional Neural Network Model","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Convolutional neural network; Transfer of learning; Artificial intelligence; Feature (linguistics); Pattern recognition (psychology); Feature extraction; Machine learning; Fault (geology); Generality; Identification (biology); Artificial neural network; Data mining","score_opus":0.023813928660073418,"score_gpt":0.25030876417064163,"score_spread":0.2264948355105682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297347609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50915617,0.0000359362,0.48290125,0.0006147495,0.0001097666,0.00100095,0.000038752125,0.0011839211,0.0049585276],"genre_scores_gemma":[0.9783077,0.000003067178,0.019333726,0.00038692335,0.000032190306,0.0019010074,0.000009212921,0.000020709167,0.00000543678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980408,0.000047127993,0.00022547077,0.00048398192,0.00077317964,0.00042941835],"domain_scores_gemma":[0.999344,0.00033163955,0.00002560587,0.00018817719,0.000022215165,0.000088344255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085468206,0.00020977475,0.0002099564,0.00007644279,0.0006123627,0.000059402257,0.0004830143,0.00004528533,0.0001772418],"category_scores_gemma":[0.000028367787,0.00018252917,0.000053153195,0.00060541875,0.00024040554,0.00009458852,0.000059306458,0.0005329964,0.0000026424414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026992115,0.00008835442,0.0010353659,0.000012284119,0.0000051204856,0.0000010226825,0.000060600374,0.960804,0.001226138,0.035832286,0.00033516958,0.00057267316],"study_design_scores_gemma":[0.00028331528,0.000257155,0.000478445,0.0000134791735,0.000010430454,0.0000034212308,0.00002897131,0.9941243,0.0020699925,0.0021265463,0.0003472272,0.00025670693],"about_ca_topic_score_codex":0.00003586619,"about_ca_topic_score_gemma":0.000035763533,"teacher_disagreement_score":0.46915156,"about_ca_system_score_codex":0.00011049072,"about_ca_system_score_gemma":0.000084734536,"threshold_uncertainty_score":0.7443323},"labels":[],"label_agreement":null},{"id":"W4297347652","doi":"10.3390/app12199702","title":"The Role of Privacy Fatigue in Privacy Paradox: A PSM and Heterogeneity Analysis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Internet privacy; Information privacy; Privacy protection; Matching (statistics); Cynicism; Psychology; Computer science; Political science; Medicine","score_opus":0.03634008905341565,"score_gpt":0.31733713568510563,"score_spread":0.28099704663169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297347652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916239,0.00076866423,0.00016585655,0.0009887087,0.0000693442,0.0003664316,0.000011707608,0.000025861971,0.0059795454],"genre_scores_gemma":[0.99933606,0.00016370435,0.00030395505,0.00004572719,0.00002791846,0.00010713601,0.0000028034565,0.0000024834696,0.000010191933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816847,0.00026685637,0.00024232478,0.00034625622,0.0006658985,0.00031021668],"domain_scores_gemma":[0.99921376,0.00023366786,0.00015922434,0.00030941484,0.000019618452,0.00006429382],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031179583,0.00008198378,0.00016766341,0.0001937059,0.0023848196,0.00012923476,0.0011806969,0.000032129923,0.000035786896],"category_scores_gemma":[0.0002475219,0.00006487783,0.00005244662,0.0023524335,0.0009226908,0.00019748887,0.0007743675,0.00014854837,0.0000013638343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011271703,0.00037330604,0.41314694,0.000016012656,0.00016257227,0.0000024559763,0.07697937,0.0008660292,0.005663505,0.41446313,0.00021415626,0.0879998],"study_design_scores_gemma":[0.000998906,0.00030380115,0.22124651,0.000009798698,0.00020733244,0.0000032116757,0.095567815,0.006248608,0.009243716,0.5140625,0.15127522,0.0008325776],"about_ca_topic_score_codex":0.004169871,"about_ca_topic_score_gemma":0.004239974,"teacher_disagreement_score":0.19190045,"about_ca_system_score_codex":0.000056341545,"about_ca_system_score_gemma":0.00014712688,"threshold_uncertainty_score":0.99891394},"labels":[],"label_agreement":null},{"id":"W4297347710","doi":"10.3390/app12199646","title":"Assessment of Runway Surface Conditions by British Pendulum Testing under the Global Reporting Format Winter Conditions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Runway; Environmental science; Icing; Snow; Marine engineering; Meteorology; Engineering; Geography","score_opus":0.022172130044476684,"score_gpt":0.2834065932816872,"score_spread":0.26123446323721056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297347710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589766,0.000005410193,0.00031982324,0.00020629175,0.0003311874,0.00028069408,0.0001681263,0.00004818141,0.03966366],"genre_scores_gemma":[0.99787104,5.6659303e-7,0.0017601053,0.0002123145,0.000014323717,0.00007226178,0.000029020057,0.0000049127407,0.000035430614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982052,0.00006149058,0.00054380286,0.0003038751,0.000616404,0.00026925938],"domain_scores_gemma":[0.9989609,0.000108634085,0.00070104754,0.00017365496,0.000010737997,0.00004503941],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012158941,0.00009111204,0.0001312008,0.000012181983,0.0018808743,0.00012929401,0.0003958707,0.00001982252,0.0026358254],"category_scores_gemma":[0.00004282108,0.00008399059,0.0000412234,0.0006076397,0.0010540866,0.00025104993,0.00043435875,0.00010250622,0.000020127349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021082699,0.000104859006,0.7359022,0.0000071122104,0.000017482698,0.00000516163,0.0001308413,0.04478824,0.19645917,0.009994892,0.012365514,0.00022239973],"study_design_scores_gemma":[0.00032643008,0.00011847313,0.9619417,0.000015287495,0.000037670863,0.00075938355,0.009371734,0.0037408639,0.0045744856,0.01685016,0.0019193087,0.00034447212],"about_ca_topic_score_codex":0.0015508669,"about_ca_topic_score_gemma":0.00033669485,"teacher_disagreement_score":0.22603951,"about_ca_system_score_codex":0.00023243528,"about_ca_system_score_gemma":0.00006432951,"threshold_uncertainty_score":0.99941856},"labels":[],"label_agreement":null},{"id":"W4297347715","doi":"10.3390/app12199668","title":"Projection Pursuit Multivariate Sampling of Parameter Uncertainty","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Latin hypercube sampling; Projection pursuit; Monte Carlo method; Sampling (signal processing); Multivariate statistics; Rejection sampling; Mathematics; Projection (relational algebra); Statistics; Slice sampling; Algorithm; Computer science; Importance sampling; Markov chain Monte Carlo; Hybrid Monte Carlo","score_opus":0.20537949278323764,"score_gpt":0.37585876511663296,"score_spread":0.17047927233339533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297347715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2875657,0.00009011737,0.6962934,0.0003824159,0.0012633079,0.0007280878,0.000028600953,0.00013556103,0.013512764],"genre_scores_gemma":[0.96651995,7.2544213e-7,0.033055168,0.00006892077,0.000031227995,0.000081959144,0.0000011681719,0.000004838457,0.00023605471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99696994,0.00010204168,0.0004601218,0.0005075124,0.0016958464,0.0002645307],"domain_scores_gemma":[0.9976868,0.001657558,0.00022397615,0.00030706587,0.000072781084,0.000051817548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060912115,0.00010573672,0.00021784221,0.0002769416,0.0006131512,0.00011168702,0.001140859,0.000028437456,0.00034222283],"category_scores_gemma":[0.0011243164,0.000074498086,0.00006671908,0.0017450672,0.00032695042,0.000106051964,0.00030116903,0.00014970808,0.000021964734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052937026,0.00010748756,0.0005949328,0.0000066447597,0.000013140288,0.0000010993663,0.0010523642,0.8285372,0.024400346,0.103965156,0.0013504487,0.03991821],"study_design_scores_gemma":[0.0009603626,0.0006591201,0.0070986957,0.000015231617,0.000036362435,0.000027935783,0.008695283,0.6476853,0.003923079,0.2951689,0.034958463,0.0007712779],"about_ca_topic_score_codex":0.00008592773,"about_ca_topic_score_gemma":0.000003357169,"teacher_disagreement_score":0.67895424,"about_ca_system_score_codex":0.000050735576,"about_ca_system_score_gemma":0.00014517565,"threshold_uncertainty_score":0.47159252},"labels":[],"label_agreement":null},{"id":"W4297464410","doi":"10.3390/app12199777","title":"Smoking and High-Sensitivity Troponin I Levels in Young and Healthy Adults from the General Population","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Universitätsspital Basel; Universität Basel","keywords":"Interquartile range; Medicine; Troponin I; Confounding; Internal medicine; Population; Cardiology; Troponin; Demography; Environmental health; Myocardial infarction","score_opus":0.03535137247358053,"score_gpt":0.3212080180136123,"score_spread":0.28585664554003176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297464410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894325,0.000111722315,0.00004475652,0.0095501775,0.00009375193,0.00029579265,0.00001865669,0.000014295584,0.00043834094],"genre_scores_gemma":[0.99718404,0.000019045601,0.00044816374,0.0021869491,0.000100171725,0.000031526943,0.000013029896,0.000003914781,0.000013155327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998852,0.0001290577,0.00012063069,0.00027254698,0.00044460982,0.00018116234],"domain_scores_gemma":[0.99961543,0.00018746397,0.00003895684,0.00009334412,0.000012063116,0.00005276186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011688763,0.000059186303,0.00012535224,0.0000737467,0.00056741503,0.000039088423,0.00005252958,0.000021545333,0.000029715398],"category_scores_gemma":[0.000037885562,0.000042617692,0.000010696733,0.0003440634,0.00021779566,0.000056321805,0.00014605084,0.00022022479,7.4418705e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005191139,0.000043253815,0.95258963,0.000009202471,0.000022930157,0.000017596514,0.002626636,0.00034737834,0.00856479,0.008602617,0.0005837626,0.026073104],"study_design_scores_gemma":[0.0006547741,0.00011003792,0.993018,0.000004602909,0.0000061071096,0.000020719803,0.001438609,0.0037874063,0.00012759454,0.00061900326,0.0001623471,0.000050832266],"about_ca_topic_score_codex":0.016911149,"about_ca_topic_score_gemma":0.00059512834,"teacher_disagreement_score":0.04042835,"about_ca_system_score_codex":0.00007162124,"about_ca_system_score_gemma":0.00004992149,"threshold_uncertainty_score":0.98963535},"labels":[],"label_agreement":null},{"id":"W4297464456","doi":"10.3390/app12199767","title":"Fatigue Effects on the Lower Leg Muscle Architecture Using Diffusion Tensor MRI","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports injuries and prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diffusion MRI; Muscle architecture; Anatomy; Biomedical engineering; Chemistry; Medicine; Magnetic resonance imaging; Radiology","score_opus":0.0256020003665403,"score_gpt":0.28430807909510847,"score_spread":0.25870607872856816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297464456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98610693,0.000049302464,0.00041586693,0.002219602,0.00036777818,0.00045214331,0.0000018863265,0.000032168555,0.010354331],"genre_scores_gemma":[0.99699956,0.0000026954312,0.0005763742,0.0019497013,0.00013153123,0.000040737697,0.000002923527,0.000006582508,0.00028988373],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896955,0.00003557764,0.00010186046,0.0002382182,0.00047597403,0.00017879887],"domain_scores_gemma":[0.99956644,0.00013603833,0.000060880986,0.0001892448,0.000008430492,0.000038961003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053836213,0.00008442369,0.00010766842,0.000064527005,0.00091410906,0.00002590049,0.00015192224,0.000020410294,0.00059417123],"category_scores_gemma":[0.000020260155,0.0000478646,0.00005405453,0.0003525426,0.00015342464,0.000017459584,0.00009386292,0.00019909022,0.000005998186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010366258,0.0014959117,0.011940731,0.00020338895,0.00009466582,0.0001478942,0.0079807555,0.018242935,0.49990508,0.07434833,0.017043058,0.36756063],"study_design_scores_gemma":[0.005891287,0.010151856,0.31424516,0.00067493314,0.0005667454,0.00027424938,0.018036814,0.01646301,0.0824047,0.042360857,0.5069255,0.0020048367],"about_ca_topic_score_codex":0.000029791467,"about_ca_topic_score_gemma":0.0000029936273,"teacher_disagreement_score":0.4898825,"about_ca_system_score_codex":0.000027913544,"about_ca_system_score_gemma":0.000041805604,"threshold_uncertainty_score":0.703068},"labels":[],"label_agreement":null},{"id":"W4297988790","doi":"10.3390/app12199820","title":"A Novel Deep Learning Approach for Deepfake Image Detection","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":197,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Convolutional neural network; Face (sociological concept); Transfer of learning; Artificial intelligence; Deep learning; Fake news; Social media; Computer security; Data science; Internet privacy; World Wide Web","score_opus":0.01717738125733426,"score_gpt":0.22326347762734564,"score_spread":0.20608609637001138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297988790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013190097,0.000015735484,0.9627945,0.00005934557,0.00052254694,0.00039064628,0.0000011972049,0.0002792736,0.022746665],"genre_scores_gemma":[0.8006997,3.5247257e-7,0.1985743,0.00009932462,0.000053035896,0.00048331212,0.0000025468134,0.0000070617416,0.00008038748],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829626,0.000022493074,0.00016797968,0.00059135025,0.000559966,0.00036197182],"domain_scores_gemma":[0.9994629,0.000116665615,0.00011829662,0.00020120856,0.000034821638,0.000066115055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009847794,0.00011632546,0.00011516081,0.00019428328,0.0012197455,0.0003420712,0.0008813753,0.000024311008,0.000005408855],"category_scores_gemma":[0.00007129805,0.00011385881,0.000057439094,0.0011918911,0.00018726967,0.0005620749,0.00039485746,0.0001768462,0.0000092148275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021969794,0.00013637869,0.000015612903,0.00001595058,0.0000099065355,7.1576153e-7,0.001267248,0.025086623,0.17585224,0.060084783,0.00005503919,0.7374535],"study_design_scores_gemma":[0.0005675416,0.00055943907,0.00015143206,0.0000013305232,0.0000070290807,0.000079815705,0.0014911423,0.94600266,0.035894986,0.008692346,0.006204035,0.00034826738],"about_ca_topic_score_codex":0.00000979685,"about_ca_topic_score_gemma":0.0000067237183,"teacher_disagreement_score":0.920916,"about_ca_system_score_codex":0.0000802405,"about_ca_system_score_gemma":0.000047571284,"threshold_uncertainty_score":0.93814194},"labels":[],"label_agreement":null},{"id":"W4303614015","doi":"10.3390/app12199995","title":"Magnetic Mallet and Laser for a Minimally Invasive Implantology: A Full Arch Case Report","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mallet; Surgery; Implant; Prosthesis; Dentistry","score_opus":0.03397183865622593,"score_gpt":0.3117519987049725,"score_spread":0.27778016004874656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303614015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99173,0.00009950125,0.00006862598,0.00017302178,0.0002870646,0.0005401221,0.00014207615,0.000080848346,0.006878758],"genre_scores_gemma":[0.9932172,0.0000038073358,0.0043651126,0.0005195896,0.00003069167,0.00042536831,0.000024607161,0.0000087910175,0.0014048454],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.998682,0.000025252262,0.00027085538,0.00044973625,0.0002512538,0.00032089397],"domain_scores_gemma":[0.99932307,0.00029511188,0.00012092488,0.00017011269,0.000018853701,0.000071922484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006365502,0.00012003569,0.00018772576,0.00010991064,0.0006305271,0.00008520988,0.00027075037,0.00003711465,0.00024093088],"category_scores_gemma":[0.000043869357,0.00010587894,0.000041282347,0.00020988128,0.00027205932,0.000053936783,0.00035497826,0.000108697226,0.0000118888065],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010221072,0.00042930938,0.045194738,0.0003161662,0.000103720406,0.6921694,0.0020085224,0.000028213635,0.08183471,0.037818473,0.11871839,0.020356236],"study_design_scores_gemma":[0.000707339,0.000749668,0.0027656343,0.0000047484173,0.00004173295,0.9682827,0.0037019823,0.000087941844,0.0043071075,0.0033930128,0.015630983,0.00032717906],"about_ca_topic_score_codex":0.00016103439,"about_ca_topic_score_gemma":0.0010201214,"teacher_disagreement_score":0.27611327,"about_ca_system_score_codex":0.00002171883,"about_ca_system_score_gemma":0.00008024489,"threshold_uncertainty_score":0.48495686},"labels":[],"label_agreement":null},{"id":"W4303614303","doi":"10.3390/app12199987","title":"A Novel Fault-Tolerant Approach for Dynamic Redundant Path Selection Service Migration in Vehicular Edge Computing","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Distributed computing; Edge computing; Computer network; Service (business); Path (computing); Fault tolerance; Telecommunications","score_opus":0.021305615017939657,"score_gpt":0.24649605057122112,"score_spread":0.22519043555328147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303614303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32900447,0.000034906436,0.6684927,0.0004042611,0.001024227,0.00044659228,5.3233015e-7,0.00011845462,0.00047390963],"genre_scores_gemma":[0.8414572,5.324115e-7,0.1578198,0.0004143933,0.00018219311,0.00009393736,0.000011955124,0.000007955518,0.000012039245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978177,0.000055616776,0.00034124166,0.0007656881,0.0005024098,0.00051733234],"domain_scores_gemma":[0.9993946,0.0001152441,0.0001754916,0.00020087506,0.00006105493,0.00005270986],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018623086,0.00016848509,0.0001992399,0.00025411497,0.0014924598,0.00027557032,0.0010900205,0.000041529813,6.7249783e-7],"category_scores_gemma":[0.000012887938,0.00016475827,0.000052560335,0.002373864,0.00005705515,0.00025464478,0.0004503213,0.00023171924,0.0000024026622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036876143,0.00062959595,0.0010227446,0.00013009114,0.000019305784,0.0000032525052,0.01755337,0.7991339,0.113818385,0.019656984,0.00070531643,0.04729019],"study_design_scores_gemma":[0.00039752235,0.00008278157,0.0010667982,0.000009170795,0.0000033661352,0.000026987,0.00055186945,0.9955126,0.0005099532,0.00067602977,0.00093477423,0.00022814819],"about_ca_topic_score_codex":0.00017902136,"about_ca_topic_score_gemma":0.000035427103,"teacher_disagreement_score":0.5124527,"about_ca_system_score_codex":0.00017179686,"about_ca_system_score_gemma":0.00020265872,"threshold_uncertainty_score":0.9998075},"labels":[],"label_agreement":null},{"id":"W4306651443","doi":"10.3390/app122010453","title":"X-ray Image Enhancement Based on Adaptive Gradient Domain Guided Image Filtering","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Image (mathematics); Computer science; Contrast enhancement; Image enhancement; Artificial intelligence; Image contrast; Edge enhancement; Contrast (vision); Domain (mathematical analysis); Image gradient; Algorithm; Enhanced Data Rates for GSM Evolution; Computer vision; Edge detection; Pattern recognition (psychology); Mathematics; Image processing","score_opus":0.021987860540974128,"score_gpt":0.26320707237209373,"score_spread":0.2412192118311196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306651443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008459095,0.00001502035,0.927056,0.0010304075,0.00034952463,0.00066919666,0.000006010843,0.00044083167,0.06197388],"genre_scores_gemma":[0.55476826,0.0000016072161,0.44306955,0.001393391,0.000029417137,0.0006177811,0.000004137065,0.000009955798,0.000105917956],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963084,0.00013560284,0.00038006916,0.0010593525,0.0014193308,0.0006972705],"domain_scores_gemma":[0.9987077,0.00013082896,0.00021586302,0.000790784,0.00004961287,0.000105184285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020353228,0.00027926825,0.00023148392,0.0003463928,0.0012892337,0.0003463186,0.0026515452,0.00002353028,0.00036024617],"category_scores_gemma":[0.000018909564,0.00026167827,0.00008334186,0.0012510852,0.00039213177,0.00050228735,0.001093347,0.0002445262,0.00009209019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003033023,0.0003526116,0.000008148866,0.000011011112,0.000010251025,0.0000503339,0.0011749405,0.0015844976,0.86569434,0.11457482,0.008991517,0.0075171907],"study_design_scores_gemma":[0.0009600755,0.0018866613,0.00017356836,0.000037421534,0.000008897887,0.000008898541,0.0007423832,0.14241453,0.8123241,0.025425432,0.01494619,0.0010718538],"about_ca_topic_score_codex":0.000020437603,"about_ca_topic_score_gemma":0.0000016728417,"teacher_disagreement_score":0.5463092,"about_ca_system_score_codex":0.0002996178,"about_ca_system_score_gemma":0.00015900872,"threshold_uncertainty_score":0.99998355},"labels":[],"label_agreement":null},{"id":"W4307122032","doi":"10.3390/app122010664","title":"Designing a Deep Q-Learning Model with Edge-Level Training for Multi-Level Task Offloading in Edge Computing Networks","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Mobile device; Mobile edge computing; Edge device; Cloud computing; Server; Enhanced Data Rates for GSM Evolution; Edge computing; Latency (audio); Workload; Task (project management); Distributed computing; Computer network; Artificial intelligence; Operating system; Engineering","score_opus":0.13716763146322977,"score_gpt":0.2881964247820711,"score_spread":0.1510287933188413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307122032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038198244,0.00012138166,0.95853454,0.00008820609,0.0011463253,0.00051322655,5.170139e-7,0.0002498763,0.0011476682],"genre_scores_gemma":[0.56691456,7.685672e-7,0.43251073,0.00020487305,0.00024486452,0.00006876459,0.0000026259515,0.00001813114,0.00003465682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99624693,0.00012574262,0.0005210824,0.0011560854,0.0006258392,0.0013243374],"domain_scores_gemma":[0.9985281,0.0006554835,0.00032662784,0.0002789915,0.00006323277,0.0001475229],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0038301235,0.0003376393,0.00042105792,0.00044462428,0.003322315,0.00048654524,0.0019289503,0.000069322945,0.0000013532991],"category_scores_gemma":[0.00006957086,0.00032615606,0.000082481594,0.002067574,0.00021075233,0.00045460826,0.0010009527,0.00069825514,0.0000024599262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015779919,0.000042009426,0.00057159015,0.000012038634,0.000009819486,0.0000067617443,0.015300587,0.8689435,0.001218248,0.0033311585,0.00006541863,0.110483095],"study_design_scores_gemma":[0.00091115275,0.00014237186,0.0004367188,0.000050375118,0.0000071722448,0.000024809597,0.0028313503,0.99410933,0.00019930642,0.00064987235,0.00014042748,0.0004971046],"about_ca_topic_score_codex":0.000021776585,"about_ca_topic_score_gemma":0.000014723447,"teacher_disagreement_score":0.5287163,"about_ca_system_score_codex":0.00017100971,"about_ca_system_score_gemma":0.0003406788,"threshold_uncertainty_score":0.99991906},"labels":[],"label_agreement":null},{"id":"W4307122368","doi":"10.3390/app122110693","title":"A Novel Approach for Selecting Effective Threshold Values in Ternary State Estimation Using Particle Swarm Optimization","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Particle swarm optimization; Computer science; Mathematical optimization; Set (abstract data type); Overhead (engineering); Event (particle physics); Pareto principle; Ternary operation; Multi-objective optimization; Pareto optimal; Algorithm; Mathematics; Machine learning","score_opus":0.028417534043814995,"score_gpt":0.2679585881732494,"score_spread":0.2395410541294344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307122368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07949992,0.000021575152,0.9193038,0.000035650613,0.00014637984,0.00057695707,0.0000046538644,0.00010007539,0.0003110188],"genre_scores_gemma":[0.62252486,4.487509e-7,0.3772218,0.000059896687,0.000014321452,0.00016474024,0.0000038175813,0.0000040562727,0.000006108776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863666,0.000037138045,0.0002050971,0.00046383482,0.0003439353,0.0003133032],"domain_scores_gemma":[0.9995448,0.00012534249,0.00012443357,0.00013088644,0.000032408505,0.00004214759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010679556,0.00010185756,0.00011895546,0.00011613069,0.0008585236,0.00024474453,0.00040607716,0.000019213167,0.0000020955006],"category_scores_gemma":[0.000020176321,0.00010057309,0.000030328682,0.0015610092,0.000067314184,0.0003786841,0.00018197736,0.00011569688,4.1709274e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011360343,0.00008049826,0.000093115086,0.0000041464505,0.000003504533,3.3848258e-7,0.0004906268,0.9873785,0.0020223511,0.002161462,0.0000071610466,0.007746964],"study_design_scores_gemma":[0.00037265834,0.000102434,0.00009155495,0.000002802147,0.0000030387944,0.000011859626,0.00029938988,0.9935254,0.0034685147,0.0019827122,0.0000075564703,0.00013210012],"about_ca_topic_score_codex":0.00003853584,"about_ca_topic_score_gemma":0.0000017964655,"teacher_disagreement_score":0.5430249,"about_ca_system_score_codex":0.00012001214,"about_ca_system_score_gemma":0.000055158223,"threshold_uncertainty_score":0.6603156},"labels":[],"label_agreement":null},{"id":"W4307216773","doi":"10.3390/app122110813","title":"Intelligent Control of Robotic Arm Using Brain Computer Interface and Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Brain–computer interface; Computer science; Artificial intelligence; Random forest; Support vector machine; Decision tree; Electroencephalography; Robotics; Software deployment; Machine learning; Interface (matter); Boosting (machine learning); Gradient boosting; Classifier (UML); Robotic arm; Robot; Pattern recognition (psychology)","score_opus":0.07289084466571548,"score_gpt":0.30939439869492286,"score_spread":0.23650355402920736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307216773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5886505,0.00008206968,0.4091941,0.0006879781,0.0005513262,0.00029291786,0.0000076076,0.0000451443,0.00048831507],"genre_scores_gemma":[0.9952249,0.0000033677798,0.0035005724,0.0011639491,0.000064773965,0.000013729479,2.446288e-7,0.0000092747,0.000019193476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978601,0.00016259443,0.0004394138,0.0006583244,0.00051823206,0.00036135406],"domain_scores_gemma":[0.998692,0.00081163924,0.00020722832,0.00018901394,0.00002020139,0.00007992705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084842107,0.0001767041,0.00027556543,0.00020026037,0.0005771957,0.00013643237,0.00078829174,0.000027389093,0.00013494096],"category_scores_gemma":[0.00005837088,0.00015605334,0.000050580555,0.00064764067,0.0009944731,0.00012613942,0.00055072753,0.00022622762,0.0000087363105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005744989,0.00021027758,0.000088741166,0.000021484253,0.000008120343,0.000006282629,0.0022483743,0.31330395,0.5743491,0.073773466,0.000088107336,0.035844658],"study_design_scores_gemma":[0.000076067765,0.00045495518,0.000018125875,0.000014674642,0.000008290255,0.000051762858,0.0011182557,0.4598238,0.5281757,0.009784343,0.00026631384,0.00020769917],"about_ca_topic_score_codex":0.000022873264,"about_ca_topic_score_gemma":0.0000037914524,"teacher_disagreement_score":0.40657434,"about_ca_system_score_codex":0.000037833353,"about_ca_system_score_gemma":0.0000654231,"threshold_uncertainty_score":0.6363671},"labels":[],"label_agreement":null},{"id":"W4307266360","doi":"10.3390/app122110750","title":"Game Development Topics: A Tag-Based Investigation on Game Development Stack Exchange","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Computer science; Game Developer; Video game development; Order (exchange); Video game; Face (sociological concept); Game design document; World Wide Web; Data science; Game design; Multimedia; Sociology; Artificial intelligence","score_opus":0.05939043689342571,"score_gpt":0.26174074229658445,"score_spread":0.20235030540315874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307266360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8507549,0.00010553517,0.14375018,0.0018809668,0.0006561898,0.00070863543,0.0000018852134,0.0006390948,0.0015026071],"genre_scores_gemma":[0.924477,7.887641e-7,0.073848315,0.00085477304,0.000036815098,0.00048656965,0.000006436536,0.000008942939,0.00028038002],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99706286,0.00005395473,0.00024795753,0.0006427269,0.0014907,0.0005018202],"domain_scores_gemma":[0.9990715,0.0002974559,0.00007370564,0.00036038266,0.000047631933,0.0001493351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194484,0.00016327878,0.00013247877,0.0003597336,0.0005583877,0.0002151945,0.0015973514,0.000028930257,0.00008325611],"category_scores_gemma":[0.00008902051,0.00015621488,0.000021674537,0.0013441925,0.000135885,0.0001493453,0.0005839526,0.00022284866,0.00011278611],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056611003,0.00068771973,0.02629731,0.00034733032,0.0000794904,0.000099037075,0.061895132,0.1334865,0.0080436785,0.09569894,0.006872894,0.66643536],"study_design_scores_gemma":[0.0017944503,0.0007655203,0.08954125,0.00010388996,0.000005219601,0.000014011166,0.00082732394,0.06515981,0.20071863,0.004673273,0.6343981,0.0019985116],"about_ca_topic_score_codex":0.00000826448,"about_ca_topic_score_gemma":0.000007250772,"teacher_disagreement_score":0.6644369,"about_ca_system_score_codex":0.0003670577,"about_ca_system_score_gemma":0.0010058577,"threshold_uncertainty_score":0.6370258},"labels":[],"label_agreement":null},{"id":"W4307291491","doi":"10.3390/app122110834","title":"Lateral Capacity of URM Walls: A Parametric Study Using Macro and Micro Limit Analysis Predictions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"European Research Council","keywords":"Macro; Limit analysis; Parametric statistics; Mathematics; Structural engineering; Limit (mathematics); Masonry; Multiplier (economics); Statistics; Computer science; Engineering; Mathematical analysis; Upper and lower bounds","score_opus":0.024312428186846244,"score_gpt":0.22858961257295107,"score_spread":0.20427718438610482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307291491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899817,0.00006220864,0.0001514031,0.000009656297,0.00004666698,0.000106654225,0.000022873803,0.00004135323,0.00056102563],"genre_scores_gemma":[0.99912727,0.000004916764,0.0008120817,0.000009581866,0.000011694589,0.000015857213,0.0000019005805,0.0000030423341,0.000013660501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918294,0.000028400127,0.00018008497,0.0002071694,0.00024838562,0.00015300898],"domain_scores_gemma":[0.99974537,0.0000442833,0.000044947275,0.00011364716,0.000011929554,0.00003980134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026466724,0.00008696897,0.00020463181,0.0003908841,0.00039723667,0.00003989896,0.0001839104,0.000014722818,0.0001709543],"category_scores_gemma":[0.0000048619836,0.00007588316,0.000062764346,0.0033906456,0.00015208103,0.00006370266,0.00008391098,0.00009837074,3.7102208e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009549856,0.000034729997,0.109380834,0.000020331887,0.0010043832,0.0000025477273,0.0034239455,0.86169535,0.022720503,0.000488415,0.00001637736,0.0012030175],"study_design_scores_gemma":[0.0002561898,0.00013593503,0.07177616,0.0000015683108,0.001301676,0.0000073552137,0.0051547713,0.91855377,0.0019411745,0.000500767,0.000084463405,0.0002861415],"about_ca_topic_score_codex":0.00024679155,"about_ca_topic_score_gemma":0.00004717935,"teacher_disagreement_score":0.05685843,"about_ca_system_score_codex":0.0000261465,"about_ca_system_score_gemma":0.0000087381795,"threshold_uncertainty_score":0.30944255},"labels":[],"label_agreement":null},{"id":"W4307327366","doi":"10.3390/app122110732","title":"T-Type Vertical Wall for Decoupling and Pattern Correction of Patch Antenna","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Decoupling (probability); Directivity; Optics; Radiation pattern; Ground plane; Physics; Patch antenna; Materials science; Acoustics; Antenna (radio); Electrical engineering; Engineering","score_opus":0.01756666142946317,"score_gpt":0.230019295352524,"score_spread":0.21245263392306082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307327366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8836435,0.0001346109,0.115519,0.000037711452,0.00022702254,0.000079735175,0.0000017064928,0.000045627796,0.00031107521],"genre_scores_gemma":[0.9996466,0.000018718061,0.00023903366,0.000041300147,0.000013324254,0.000015027839,0.0000015453818,0.000004410226,0.000020056363],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956954,0.0000033169022,0.00009391108,0.000109843895,0.00011120534,0.00011218091],"domain_scores_gemma":[0.99985504,0.00005874719,0.000010518566,0.000041789015,0.000011253807,0.000022645849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019762098,0.000045264223,0.00008549645,0.000052472034,0.00015513903,0.000013357346,0.000080526304,0.000011657307,0.000029868483],"category_scores_gemma":[0.000005101463,0.000040976207,0.000019836181,0.00024607024,0.00006046628,0.0000276822,0.000022423921,0.000043245385,0.0000011268953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050199218,0.000068139925,0.031696137,0.00009065353,0.0000947166,0.0000019226509,0.0016083204,0.023309655,0.8979072,0.0012266142,0.0007355017,0.043210953],"study_design_scores_gemma":[0.00007753938,0.000052156236,0.00064665,0.0000026040286,0.000015642165,0.00000122362,0.0007194902,0.9961228,0.0019816142,0.00019319542,0.0001252216,0.00006186095],"about_ca_topic_score_codex":0.000023557222,"about_ca_topic_score_gemma":0.00001073329,"teacher_disagreement_score":0.9728131,"about_ca_system_score_codex":0.000010225175,"about_ca_system_score_gemma":0.000008135205,"threshold_uncertainty_score":0.16709612},"labels":[],"label_agreement":null},{"id":"W4307327914","doi":"10.3390/app122110724","title":"Modelling of Failure Behaviour of 3D-Printed Composite Parts","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"3d printed; Nonlinear system; 3D printing; Computational model; Computer science; Materials science; Mechanical engineering; Engineering drawing; Composite material; Engineering; Simulation; Manufacturing engineering","score_opus":0.027060376418157225,"score_gpt":0.21980655789867082,"score_spread":0.1927461814805136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307327914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98325616,0.000036511792,0.012868229,0.000023424716,0.000055572673,0.00006812486,0.000012103972,0.00025037545,0.0034294839],"genre_scores_gemma":[0.9877784,0.000003341452,0.012174976,0.0000031736063,0.000004730708,0.000018481147,0.000002088712,0.000005875816,0.000008904786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993645,0.0000074155323,0.00015512557,0.00013065051,0.00020257871,0.00013975037],"domain_scores_gemma":[0.999744,0.000046064382,0.000054887078,0.00013149966,0.000010962827,0.000012587986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020084456,0.00007187784,0.00012890424,0.00010773632,0.00013544524,0.0000072459798,0.0003538443,0.000021188027,0.000046460198],"category_scores_gemma":[0.0000033354854,0.00006913333,0.000024286317,0.000235964,0.00021014844,0.000025331728,0.0001816912,0.00013563044,0.0000015397488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016793024,0.000012488151,0.0004999083,0.000015873946,0.0000071214067,4.824644e-7,0.00023679003,0.9856906,0.0091847135,0.0026455368,0.000079160585,0.0016256422],"study_design_scores_gemma":[0.00011762599,0.00005019499,0.0006046753,0.000015387095,0.000012017151,0.0000027984408,0.0020137003,0.15035562,0.843307,0.0029257587,0.00041923297,0.00017597871],"about_ca_topic_score_codex":0.000015325644,"about_ca_topic_score_gemma":0.0000014186894,"teacher_disagreement_score":0.83533496,"about_ca_system_score_codex":0.00001203613,"about_ca_system_score_gemma":0.0000082197685,"threshold_uncertainty_score":0.28191754},"labels":[],"label_agreement":null},{"id":"W4307345599","doi":"10.3390/app122110871","title":"Research on Key Technologies of Super-Resolution Reconstruction of Medium and Long Wave Maritime Infrared Image","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Department of Science and Technology of Jilin Province","keywords":"Computer science; Block (permutation group theory); Artificial intelligence; Infrared; Feature (linguistics); Remote sensing; Computer vision; Feature extraction; Optics; Geology; Physics; Mathematics","score_opus":0.04488835756362002,"score_gpt":0.319430853069567,"score_spread":0.27454249550594695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307345599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2681114,0.00087195856,0.6940457,0.0033608696,0.0003113852,0.0010141124,0.000018333298,0.0013053975,0.030960826],"genre_scores_gemma":[0.6679881,0.000023573615,0.3318995,0.000011464345,0.0000042092183,0.000050258186,4.976691e-7,0.0000028033542,0.000019596693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982517,0.00007453095,0.00023649119,0.0004343107,0.0007451014,0.00025789547],"domain_scores_gemma":[0.9991478,0.00022350751,0.00013838413,0.00033487994,0.00013331298,0.000022132872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018308613,0.00008393739,0.00015076919,0.00056894566,0.0005326346,0.00006618773,0.00094224536,0.000041718384,0.000009146844],"category_scores_gemma":[0.00014089342,0.00007784019,0.000017242248,0.0016775142,0.0020782882,0.0005119113,0.0011376688,0.00028072423,8.0150596e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050114093,0.00014219068,0.0008388917,0.000101331265,0.000008491644,0.000008260876,0.0012855325,0.00009881868,0.46262696,0.246547,0.0005641099,0.2877283],"study_design_scores_gemma":[0.00021763144,0.0006272436,0.001365037,0.000056917695,0.0000027969368,0.00006239048,0.0036977897,0.02408349,0.58996904,0.379516,0.00019991687,0.00020170069],"about_ca_topic_score_codex":0.0000121849,"about_ca_topic_score_gemma":0.00000254085,"teacher_disagreement_score":0.3998767,"about_ca_system_score_codex":0.000053483836,"about_ca_system_score_gemma":0.00013558673,"threshold_uncertainty_score":0.7657539},"labels":[],"label_agreement":null},{"id":"W4307634605","doi":"10.3390/app122110910","title":"Predicting the Influence of Shear on the Seismic Response of Bridge Columns","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Shear (geology); Nonlinear system; Finite element method; Brittleness; Geotechnical engineering; Seismic analysis; Materials science; Geology; Engineering; Composite material; Physics","score_opus":0.016179570627920768,"score_gpt":0.2293086218397516,"score_spread":0.21312905121183082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307634605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825716,0.000017233022,0.000017829663,0.00014254176,0.00007340639,0.00020769124,0.000013606307,0.000044225373,0.001226298],"genre_scores_gemma":[0.99977696,0.0000017395693,0.00005022055,0.00009826225,0.000007973609,0.000041883646,2.5857682e-7,0.00000539839,0.000017282451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909747,0.000040902487,0.00016980237,0.00010711356,0.00043187937,0.00015286414],"domain_scores_gemma":[0.9990998,0.0005774002,0.000065568755,0.00022697069,0.000013425529,0.000016870135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087661255,0.00006861307,0.000088420675,0.0000463245,0.00031469492,0.000015478387,0.00065305125,0.0000135223545,0.000036959085],"category_scores_gemma":[0.000058199515,0.000042384694,0.000029812889,0.00049728865,0.00040534823,0.000040644223,0.00010596111,0.00016504264,0.0000024200478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000342522,2.8727774e-7,0.0005420517,0.0000048449456,0.0000049961886,3.8422908e-7,0.0014966987,0.83334213,0.1617819,0.0023008506,0.00008451994,0.00040708823],"study_design_scores_gemma":[0.00039298207,0.0005174432,0.34770045,0.000040223113,0.000040170777,0.000027162085,0.008244008,0.14273277,0.49822468,0.0006025983,0.0011122875,0.00036521547],"about_ca_topic_score_codex":0.00006213947,"about_ca_topic_score_gemma":4.539148e-7,"teacher_disagreement_score":0.69060934,"about_ca_system_score_codex":0.00002623649,"about_ca_system_score_gemma":0.000043135664,"threshold_uncertainty_score":0.24204107},"labels":[],"label_agreement":null},{"id":"W4307635096","doi":"10.3390/app122110886","title":"Soccer Scoring Techniques: How Much Do We Know Them Biomechanically?—A State-of-the-Art Review","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Nomothetic and idiographic; Computer science; Management science; Data science; Engineering; Psychology","score_opus":0.044401009685137466,"score_gpt":0.2954289528321897,"score_spread":0.25102794314705223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307635096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.772777,0.04781968,0.00057331024,0.054577142,0.0017202732,0.0058463826,0.000026062236,0.00076617254,0.115893945],"genre_scores_gemma":[0.9890011,0.006736691,0.0018489364,0.0015103841,0.00004479906,0.00017643812,0.0000018690132,0.000010652514,0.000669123],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985646,0.000009475765,0.00022352774,0.000292439,0.0006492062,0.0002607414],"domain_scores_gemma":[0.99943715,0.000025040928,0.00015810764,0.000296339,0.000030859224,0.000052484873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012090572,0.000109679146,0.00025121815,0.00007979116,0.00039206241,0.000019927498,0.000383995,0.0000180611,0.00035419816],"category_scores_gemma":[0.000011790152,0.0000703997,0.00008458994,0.001091126,0.00026178197,0.000076661905,0.00021012229,0.00021545653,0.000016152593],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052941465,0.0002359535,0.011002244,0.0013960176,0.000056376488,0.000016365551,0.0016070151,0.0000056599506,0.0487054,0.011304016,0.017211841,0.9084062],"study_design_scores_gemma":[0.0007548167,0.00060932455,0.0012281389,0.0044498793,0.00017018241,0.00018336861,0.004258961,0.00016124382,0.18168344,0.006777055,0.79917175,0.0005518475],"about_ca_topic_score_codex":0.000002127694,"about_ca_topic_score_gemma":9.429889e-7,"teacher_disagreement_score":0.9078543,"about_ca_system_score_codex":0.000034757402,"about_ca_system_score_gemma":0.00017420012,"threshold_uncertainty_score":0.38782215},"labels":[],"label_agreement":null},{"id":"W4307751734","doi":"10.3390/app122111038","title":"Framework for Handling Rare Word Problems in Neural Machine Translation System Using Multi-Word Expressions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Machine translation; Fluency; Word (group theory); Test set; Set (abstract data type); Word embedding; Vocabulary; Translation (biology); Embedding; Linguistics; Programming language","score_opus":0.0708010812538504,"score_gpt":0.32704081290534803,"score_spread":0.2562397316514976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307751734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0195377,0.0043235677,0.97446233,0.00025850246,0.00023328699,0.0007238581,0.0000055722585,0.00041182927,0.00004335021],"genre_scores_gemma":[0.5239695,6.01184e-7,0.47577265,0.00006136004,0.000016565007,0.00016947537,0.0000015534671,0.000005042595,0.0000032605187],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983498,0.00006761238,0.0002852775,0.00054426264,0.00039867472,0.00035438366],"domain_scores_gemma":[0.999282,0.00025042356,0.00015523307,0.00023873732,0.000025315148,0.000048308393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961157,0.0001427003,0.00017796217,0.00025487877,0.0010688669,0.00023705604,0.0012703036,0.000053369826,0.0000054555776],"category_scores_gemma":[0.000034925706,0.00012107342,0.000044486198,0.0011615176,0.00009860758,0.00040739749,0.00028636595,0.00030883547,3.7226394e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050860996,0.00023568155,0.0014515038,0.00039193663,0.000011701217,0.000018343713,0.024585197,0.11400603,0.10194639,0.30467045,0.000015590653,0.4526163],"study_design_scores_gemma":[0.00024020918,0.000031273925,0.000037186343,0.000116771764,0.0000035669548,0.000010382596,0.00060386525,0.97658,0.003053465,0.019060085,0.000057946425,0.00020523212],"about_ca_topic_score_codex":0.00004828751,"about_ca_topic_score_gemma":0.00001890756,"teacher_disagreement_score":0.862574,"about_ca_system_score_codex":0.000098150645,"about_ca_system_score_gemma":0.000081961894,"threshold_uncertainty_score":0.8220968},"labels":[],"label_agreement":null},{"id":"W4307948283","doi":"10.3390/app122110946","title":"Whole-Heart Assessment of Turbulent Kinetic Energy in the Repaired Tetralogy of Fallot","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"University of Calgary","keywords":"Tetralogy of Fallot; Medicine; Ventricle; Cardiology; Internal medicine; Hemodynamics; Magnetic resonance imaging; Turbulence kinetic energy; Radiology; Heart disease; Turbulence","score_opus":0.027738464139809668,"score_gpt":0.3036641831607052,"score_spread":0.2759257190208955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307948283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829197,0.00035241467,0.000007753173,0.0014170947,0.00005206767,0.0002462878,0.000006365389,0.000011168153,0.014987178],"genre_scores_gemma":[0.9988783,0.000006537054,0.0003592725,0.0005428253,0.000015007658,0.00011520916,0.0000019011868,0.0000033201884,0.00007762542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986866,0.00006556543,0.00025009664,0.00020673985,0.00061988353,0.0001710778],"domain_scores_gemma":[0.9995594,0.0001501281,0.000038274604,0.00019845967,0.000024488563,0.000029249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005705086,0.000070436276,0.00021968376,0.00012565321,0.000121594734,0.0000036660072,0.0001861528,0.000011647596,0.00008447007],"category_scores_gemma":[0.000017535665,0.000047883303,0.000056972345,0.000647023,0.0004516239,0.000015116303,0.00011752373,0.00008340882,8.069583e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004127345,0.0038600708,0.42438635,0.0004169791,0.00019305624,0.00011973932,0.009958944,0.0010022712,0.40541545,0.1220245,0.012724674,0.019485243],"study_design_scores_gemma":[0.001476447,0.0019180648,0.95433956,0.000036146386,0.000099355064,0.000067387926,0.016672432,0.002204263,0.0038520545,0.0029530635,0.016173692,0.00020754627],"about_ca_topic_score_codex":0.00016872858,"about_ca_topic_score_gemma":0.000056349196,"teacher_disagreement_score":0.5299532,"about_ca_system_score_codex":0.000030380814,"about_ca_system_score_gemma":0.00016918335,"threshold_uncertainty_score":0.19526243},"labels":[],"label_agreement":null},{"id":"W4307999489","doi":"10.3390/app122111146","title":"A Review of the Scheduling Problem within Canadian Healthcare Centres","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nurse scheduling problem; Computer science; Fair-share scheduling; Two-level scheduling; Dynamic priority scheduling; Scheduling (production processes); Heuristics; Health care; Rate-monotonic scheduling; Operations research; Distributed computing; Operations management; Engineering; Political science; Operating system; Schedule","score_opus":0.2918358294277099,"score_gpt":0.4410873164600278,"score_spread":0.1492514870323179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307999489","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015450682,0.98301667,0.000011332268,0.0018021526,0.00084366,0.0012120279,0.0001053114,0.000029552602,0.012977742],"genre_scores_gemma":[0.00008164751,0.994865,0.0031222159,0.0013235986,0.0000785651,0.00019685247,0.000011293389,0.000018879851,0.000301928],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99306315,0.0007816887,0.0018355313,0.0010621655,0.0025434578,0.0007139787],"domain_scores_gemma":[0.9946032,0.0018559946,0.0017394803,0.0012869086,0.00017793101,0.0003364945],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014970046,0.0003573269,0.001606537,0.0006792503,0.0020252222,0.00024076164,0.004846232,0.00014539532,0.0009565825],"category_scores_gemma":[0.0032217493,0.0001906949,0.0006612395,0.008581802,0.0007532806,0.0001001361,0.0004911711,0.00078051584,0.00015327275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[6.920904e-7,0.000030412326,0.000026215312,0.015486953,0.000047608388,0.000001567547,0.000308806,0.00024009742,1.225038e-7,0.067124836,0.0058264364,0.91090626],"study_design_scores_gemma":[0.000026388472,0.000014108366,0.0000011602789,0.020478897,0.00014162078,0.000016496268,0.00032458146,0.00003022422,4.886665e-7,0.005067829,0.9736823,0.00021591983],"about_ca_topic_score_codex":0.012356286,"about_ca_topic_score_gemma":0.017322121,"teacher_disagreement_score":0.9678559,"about_ca_system_score_codex":0.00021966788,"about_ca_system_score_gemma":0.009921052,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W4308334006","doi":"10.3390/app122111170","title":"Biological Monitoring via Urine Samples to Assess Healthcare Workers’ Exposure to Hazardous Drugs: A Scoping Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Safe Handling of Antineoplastic Drugs","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hazardous waste; Medicine; Health care; Environmental health; Urine sample; Sample (material); Sample size determination; Urine; Toxicology; Internal medicine; Statistics; Waste management; Engineering; Chemistry","score_opus":0.4212903755243071,"score_gpt":0.5216391496985046,"score_spread":0.10034877417419746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308334006","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001453287,0.98466027,0.00037030387,0.0011746379,0.0031061294,0.008331095,0.00004858799,0.0003240141,0.0018396319],"genre_scores_gemma":[0.00021276966,0.98296374,0.00767367,0.002296055,0.0011337174,0.005465435,0.000046049616,0.000071094364,0.0001374819],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992278,0.0011018845,0.0020114612,0.0017525771,0.0012410708,0.0016150385],"domain_scores_gemma":[0.99162346,0.0058465353,0.00091446436,0.00082703185,0.00011405981,0.00067441905],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058530653,0.00075079466,0.0031342334,0.000512001,0.0030088972,0.0000728399,0.0019815022,0.00036344296,0.0006451899],"category_scores_gemma":[0.0014309953,0.0005519311,0.00032691463,0.0032480396,0.00017740014,0.000075091855,0.0016649001,0.0015621268,0.0008997612],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014730873,0.00004559675,0.0007552563,0.114120714,0.000043234348,0.000014141561,0.0010913447,0.00001237963,0.0000019474196,0.00033572473,0.0017101078,0.88185483],"study_design_scores_gemma":[0.00010757603,0.00019884066,0.000050656017,0.38172373,0.00011979209,0.0000082503575,0.0018347589,2.441424e-7,6.9323244e-7,0.000036615093,0.61530423,0.0006145952],"about_ca_topic_score_codex":0.00021583086,"about_ca_topic_score_gemma":0.000060344566,"teacher_disagreement_score":0.88124025,"about_ca_system_score_codex":0.00041846192,"about_ca_system_score_gemma":0.004383051,"threshold_uncertainty_score":0.99987817},"labels":[],"label_agreement":null},{"id":"W4308690699","doi":"10.3390/app122211420","title":"Smart Agriculture: A Fruit Flower Cluster Detection Strategy in Apple Orchards Using Machine Vision and Learning","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Artificial intelligence; Tree (set theory); Machine vision; Machine learning; Apple tree; Computer science; Mathematics; Horticulture; Biology","score_opus":0.015846893748374623,"score_gpt":0.22480279229961705,"score_spread":0.20895589855124244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308690699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997322,0.00015858108,0.000015650963,0.00034591928,0.00010253828,0.00026505167,0.000008141544,0.00005127157,0.0017308125],"genre_scores_gemma":[0.9992868,0.000010694628,0.00007511644,0.00024710668,0.00012889462,0.000047639245,0.000026807362,8.7109487e-7,0.00017612388],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984978,0.000121956335,0.00019140723,0.00046352542,0.0004005694,0.0003247386],"domain_scores_gemma":[0.9996922,0.00011238734,0.00008161743,0.000028946488,0.000016897637,0.00006797355],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00080294884,0.00015749651,0.00016408393,0.000032666267,0.0014114861,0.00014855397,0.000224356,0.000058643716,0.00021304472],"category_scores_gemma":[0.000011738432,0.000056556673,0.000043376516,0.0011153916,0.000100147314,0.00016613673,0.0002383428,0.00035718275,0.0000064694627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033411907,0.000075492666,0.0054392265,0.0000035828746,0.000004422915,0.000003359701,0.00032304236,0.0035618804,0.9654709,0.00018786122,0.00024328007,0.024653539],"study_design_scores_gemma":[0.0028511065,0.0044477633,0.4886812,0.00007883124,0.00010636653,0.00046003115,0.054599892,0.05981191,0.08919778,0.0028228385,0.29337442,0.0035678656],"about_ca_topic_score_codex":0.0009758771,"about_ca_topic_score_gemma":0.004245182,"teacher_disagreement_score":0.87627316,"about_ca_system_score_codex":0.000041354848,"about_ca_system_score_gemma":0.000008770607,"threshold_uncertainty_score":0.99988854},"labels":[],"label_agreement":null},{"id":"W4308695131","doi":"10.3390/app122211403","title":"Water Quality Modelling, Monitoring, and Mitigation","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Water quality; Environmental planning; Environmental resource management; Resource (disambiguation); Quality (philosophy); Environmental science; Business; Computer science; Ecology","score_opus":0.05546343623364892,"score_gpt":0.3001987046222681,"score_spread":0.2447352683886192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308695131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813485,0.000008851087,0.0012134317,0.0007147515,0.000113411676,0.00009393974,0.000002933056,0.000028323675,0.016475853],"genre_scores_gemma":[0.9975323,0.0000029768632,0.0017435185,0.00018338814,0.000020660813,0.000043757198,0.0000022861248,0.0000022356921,0.000468848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989077,0.000072473995,0.00013361602,0.00025414082,0.00044589626,0.00018617338],"domain_scores_gemma":[0.99980724,0.00001865717,0.000035494944,0.00008716255,0.0000012839379,0.00005015604],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012029979,0.000059666425,0.000059572554,0.000018987603,0.0008973399,0.00004830815,0.00017008263,0.000012727888,0.0013022624],"category_scores_gemma":[0.0000011243286,0.000045150908,0.000013609146,0.00011673715,0.00030455412,0.00011312083,0.00027249006,0.00007553155,0.000085195556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004169229,0.0002806895,0.13445027,0.000020803294,0.000014939931,0.0000026527598,0.02670198,0.5006489,0.24421811,0.08177906,0.0018942037,0.009946674],"study_design_scores_gemma":[0.0014759166,0.00045712496,0.120871454,0.000007921204,0.000033021337,0.00002118748,0.015010969,0.032995723,0.44428647,0.16992381,0.21324018,0.0016762383],"about_ca_topic_score_codex":0.0003531835,"about_ca_topic_score_gemma":0.0000049597697,"teacher_disagreement_score":0.46765321,"about_ca_system_score_codex":0.000058749,"about_ca_system_score_gemma":0.0000054917473,"threshold_uncertainty_score":0.99961066},"labels":[],"label_agreement":null},{"id":"W4309007945","doi":"10.3390/app122211463","title":"Review of Quantitative Methods for the Detection of Alzheimer’s Disease with Positron Emission Tomography","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Health Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Positron emission tomography; Neuroimaging; Dementia; Medical physics; Medicine; Artificial intelligence; Computer science; Nuclear medicine; Disease; Pathology; Psychiatry","score_opus":0.06100584565956751,"score_gpt":0.42951440329972945,"score_spread":0.36850855764016194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309007945","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29227665,0.40245736,0.27147532,0.007126485,0.00024536435,0.013649199,0.000073807416,0.000067632995,0.012628203],"genre_scores_gemma":[0.9908115,0.0008361435,0.007578715,0.0003196179,0.000005869703,0.00042054857,0.000004037122,0.000003463363,0.000020058344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991425,0.00009123692,0.00013757723,0.00014968257,0.00036889256,0.000110060835],"domain_scores_gemma":[0.9993756,0.000274903,0.00010845132,0.00009696496,0.00009739515,0.00004670489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018423374,0.00005018041,0.00013485698,0.00008623834,0.00025972293,0.000004138092,0.00010887209,0.000004955473,0.00006186289],"category_scores_gemma":[0.00005800946,0.00002668717,0.0000648355,0.0006960477,0.00030806346,0.000026852518,0.000047706737,0.00005708965,1.6946161e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002717322,0.0005757773,0.00954503,0.0030467233,0.00036106756,0.0000012061812,0.0004956377,0.000015334621,0.5476334,0.0050475174,0.00046731217,0.43009368],"study_design_scores_gemma":[0.0025229922,0.011329462,0.110119164,0.0022291709,0.0027214722,0.0000107659425,0.008191829,0.0024859144,0.842154,0.003076705,0.014866837,0.00029165045],"about_ca_topic_score_codex":0.000010484293,"about_ca_topic_score_gemma":4.6707407e-7,"teacher_disagreement_score":0.6985349,"about_ca_system_score_codex":0.0000064464584,"about_ca_system_score_gemma":0.000111938105,"threshold_uncertainty_score":0.19976051},"labels":[],"label_agreement":null},{"id":"W4309091908","doi":"10.3390/app122111127","title":"An Interpretable Machine Learning Approach for Hepatitis B Diagnosis","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Interpretability; Machine learning; Artificial intelligence; AdaBoost; Decision tree; Gradient boosting; Logistic regression; Random forest; Boosting (machine learning); Computer science; Support vector machine; Medicine","score_opus":0.1484017627015627,"score_gpt":0.45453613661608566,"score_spread":0.306134373914523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309091908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202574,0.00041376203,0.029575251,0.0014118359,0.0012973801,0.003807036,0.00015176173,0.00045337132,0.04263219],"genre_scores_gemma":[0.9829833,0.00003193623,0.007737206,0.0013932114,0.00016711652,0.0072121895,0.000059458176,0.000020777776,0.0003948246],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754626,0.00041663117,0.00043556717,0.0005333195,0.00041210066,0.00065611297],"domain_scores_gemma":[0.9984597,0.0009108838,0.00020293194,0.00022521806,0.00006611128,0.00013517456],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026401926,0.000125293,0.00021180075,0.00013138038,0.0074309,0.000027551569,0.0006754702,0.00006199119,0.0014850055],"category_scores_gemma":[0.00017134818,0.00011558645,0.000043928256,0.00057615107,0.00020256918,0.00015742154,0.00025245643,0.00066520297,0.000046126224],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000685357,0.00016537876,0.8819474,0.00013129544,0.000008702573,8.451695e-7,0.016460808,0.024976201,0.0005926164,0.051960055,0.0021331361,0.021555025],"study_design_scores_gemma":[0.0002472684,0.0012669095,0.0020674784,0.000029200668,0.000022638398,0.0000021809185,0.080864996,0.8223302,0.0011652622,0.013434559,0.07799738,0.00057197205],"about_ca_topic_score_codex":0.005665321,"about_ca_topic_score_gemma":0.0009743235,"teacher_disagreement_score":0.8798799,"about_ca_system_score_codex":0.0001677204,"about_ca_system_score_gemma":0.00026928674,"threshold_uncertainty_score":0.9994278},"labels":[],"label_agreement":null},{"id":"W4309118609","doi":"10.3390/app122211602","title":"A Dimension-Reduced Artificial Neural Network Model for the Cell Voltage Consistency Prediction of a Proton Exchange Membrane Fuel Cell Stack","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Department of Science and Technology of Sichuan Province; Ministry of Science and Technology of the People's Republic of China","keywords":"Stack (abstract data type); Proton exchange membrane fuel cell; Voltage; Consistency (knowledge bases); Artificial neural network; Computation; Computer science; Dimension (graph theory); Cell voltage; Fuel cells; Control theory (sociology); Engineering; Electronic engineering; Biological system; Algorithm; Artificial intelligence; Electrical engineering; Mathematics; Chemistry; Electrode; Control (management)","score_opus":0.028238940952903968,"score_gpt":0.2143328270417055,"score_spread":0.18609388608880154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309118609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9454529,0.0081108855,0.0025880816,0.00017098368,0.0038844915,0.007001607,0.00035776605,0.0004057951,0.032027435],"genre_scores_gemma":[0.99833894,0.00019676136,0.00037869447,0.000035792582,0.000108120235,0.00075875333,0.000010708137,0.000017873832,0.00015437188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988818,0.000017335446,0.0002930368,0.00022525253,0.00028188073,0.0003007002],"domain_scores_gemma":[0.99958694,0.00010332954,0.00009115952,0.0001596871,0.000021143147,0.000037732636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005949407,0.00012870405,0.0001716395,0.00004535105,0.0004933682,0.000037038095,0.00024637397,0.00004749387,0.000077753204],"category_scores_gemma":[0.0000030067295,0.00009147786,0.000057282276,0.000292031,0.00014957141,0.00005216368,0.00008217736,0.00011646591,0.0000025074119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028699864,0.000026922424,0.0000015316753,0.0004967672,0.000005400094,2.7623372e-7,0.0006499492,0.7185937,0.27909085,0.00010810853,0.00093904557,0.000058708185],"study_design_scores_gemma":[0.00022871683,0.000096438984,0.0000027655433,0.0000047670014,0.000031630934,9.882406e-7,0.00044535936,0.910673,0.08628263,0.00094616215,0.001183863,0.00010363129],"about_ca_topic_score_codex":0.000010698807,"about_ca_topic_score_gemma":0.0000027021754,"teacher_disagreement_score":0.19280821,"about_ca_system_score_codex":0.000020712585,"about_ca_system_score_gemma":0.00004368366,"threshold_uncertainty_score":0.37946394},"labels":[],"label_agreement":null},{"id":"W4309211661","doi":"10.3390/app122211532","title":"Photobiomodulation to Reduce Orthodontic Treatment Time in Adults: A Historical Prospective Study","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dentistry; Patient compliance; Orthodontics; Emergency medicine","score_opus":0.025669819849791685,"score_gpt":0.32163676135077135,"score_spread":0.2959669415009797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309211661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99009824,0.000033246473,0.000070982096,0.0009460606,0.000104983825,0.0024336618,0.0000028681534,0.00004561235,0.0062643224],"genre_scores_gemma":[0.9939755,0.0000012898489,0.0008776772,0.00014644806,0.00006609292,0.002000465,0.000008445841,0.00000589478,0.0029181403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868745,0.000033894,0.0002180628,0.00045653945,0.00042430815,0.00017973763],"domain_scores_gemma":[0.99956965,0.00004269018,0.000048569356,0.00022562263,0.000022648119,0.000090806294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048500716,0.000096406446,0.00020293769,0.00018744907,0.0002694899,0.000008849491,0.00013364076,0.000015484726,0.0002090453],"category_scores_gemma":[0.000030374573,0.00007693075,0.000023735955,0.001317351,0.00005604462,0.00003009544,0.000065281114,0.00008816719,0.000046416353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059943385,0.029028613,0.6093871,0.00009391764,0.00020231471,0.0004739648,0.068459615,0.0023268964,0.17237978,0.003999089,0.012075931,0.09557841],"study_design_scores_gemma":[0.021264378,0.022535186,0.8628356,0.000112736125,0.0003504424,0.00031542356,0.029631257,0.0029462844,0.019112311,0.0012460831,0.03872092,0.00092937535],"about_ca_topic_score_codex":0.0002063701,"about_ca_topic_score_gemma":0.000040097486,"teacher_disagreement_score":0.2534485,"about_ca_system_score_codex":0.0013034337,"about_ca_system_score_gemma":0.00013123725,"threshold_uncertainty_score":0.34084338},"labels":[],"label_agreement":null},{"id":"W4309212130","doi":"10.3390/app122211577","title":"Estimating Muscle Power of the Lower Limbs through the 5-Sit-to-Stand Test: A Comparison of Field vs. Laboratory Method","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Concentric; Mathematics; Statistics; Analysis of variance; Limits of agreement; Medicine; Nuclear medicine; Geometry","score_opus":0.051332683942538315,"score_gpt":0.395881345915006,"score_spread":0.3445486619724677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309212130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90518004,0.00065562717,0.007032228,0.040357407,0.0009467754,0.0013005493,0.00003451457,0.000053005362,0.04443988],"genre_scores_gemma":[0.95869464,0.0000013176533,0.03562376,0.0055655506,0.00003148742,0.000034223565,2.627403e-7,0.0000042719116,0.000044465225],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881625,0.00006197669,0.0002831332,0.00016967396,0.00050316635,0.00016581517],"domain_scores_gemma":[0.9988335,0.00066889223,0.00016965542,0.00023401818,0.000054899017,0.000039060727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011476766,0.00006427209,0.00020267953,0.000040240495,0.00055481016,0.000010750314,0.00029162935,0.000020086312,0.00023614259],"category_scores_gemma":[0.00019269703,0.000037002832,0.00003767816,0.0008657976,0.00019991526,0.000027375625,0.00015077367,0.00022370805,0.0000021408982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010611268,0.009870041,0.12310182,0.0018727678,0.00012747657,0.000014121409,0.19973905,0.013878887,0.30602524,0.13313343,0.17930229,0.03187374],"study_design_scores_gemma":[0.005778375,0.014541189,0.08073385,0.0012824682,0.00030476274,0.00004238769,0.17104436,0.03505504,0.31396833,0.018158033,0.3580653,0.0010258969],"about_ca_topic_score_codex":0.000036079524,"about_ca_topic_score_gemma":0.000005468569,"teacher_disagreement_score":0.178763,"about_ca_system_score_codex":0.000023459832,"about_ca_system_score_gemma":0.00018567483,"threshold_uncertainty_score":0.4267207},"labels":[],"label_agreement":null},{"id":"W4309307116","doi":"10.3390/app122211623","title":"Simvastatin Embedded into Poly(Lactic-Co-Glycolic Acid)-Based Scaffolds in Promoting Preclinical Bone Regeneration: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Simvastatin; Glycolic acid; Calvaria; Medicine; PLGA; Scaffold; Bone formation; Biomedical engineering; Pharmacology; Lactic acid; Internal medicine; Chemistry; In vitro; Biology; Biochemistry","score_opus":0.08228006474605494,"score_gpt":0.39675185646333816,"score_spread":0.31447179171728323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309307116","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003944347,0.99197024,0.00003119229,0.0002857933,0.00022473931,0.0055160336,0.000017752269,0.00009298294,0.0018218498],"genre_scores_gemma":[0.0010972221,0.993199,0.0016643598,0.0011317675,0.0002322452,0.0023156714,0.00016278299,0.000053484186,0.00014349908],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9940983,0.00062639505,0.0022940803,0.0010582637,0.0013217762,0.00060119625],"domain_scores_gemma":[0.99677765,0.0009786554,0.0013049317,0.0006622021,0.000034242996,0.00024230659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0053975726,0.0005611232,0.0037565925,0.00042745264,0.000499765,0.00011630863,0.000432183,0.00019940121,0.0006125111],"category_scores_gemma":[0.0010271785,0.00038261316,0.00044586477,0.0017383615,0.0003636463,0.000108885026,0.00013451529,0.0005412595,0.00011205004],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000953918,0.00017968263,0.0000047453723,0.6271096,0.000043668166,0.00011266424,0.00017443256,3.4935363e-7,0.0000029507594,0.00014804659,0.00027477008,0.37193954],"study_design_scores_gemma":[0.0012080692,0.0007271077,0.000002598145,0.6893949,0.0028291426,0.00097500236,0.0003076534,0.0002971503,0.000029139876,0.000033660966,0.30319852,0.0009970956],"about_ca_topic_score_codex":0.000011203415,"about_ca_topic_score_gemma":0.000026264539,"teacher_disagreement_score":0.37094244,"about_ca_system_score_codex":0.00019283705,"about_ca_system_score_gemma":0.001975079,"threshold_uncertainty_score":0.99986255},"labels":[],"label_agreement":null},{"id":"W4309307527","doi":"10.3390/app122211622","title":"Flood Prediction with Two-Dimensional Shallow Water Equations: A Case Study of Tongo-Bassa Watershed in Cameroon","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Infiltration (HVAC); Watershed; Finite volume method; Hydrology (agriculture); Flood myth; Environmental science; Upwind scheme; Geology; Mathematics; Geotechnical engineering; Meteorology; Mechanics; Geography","score_opus":0.015891825750013886,"score_gpt":0.2406536094353722,"score_spread":0.22476178368535832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309307527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951774,0.0000031605118,0.00007038882,0.00015058534,0.000053164385,0.0007416191,0.0000026233763,0.00002297604,0.0037781082],"genre_scores_gemma":[0.9989563,2.8336743e-7,0.00051027123,0.000072813156,0.0000071300747,0.00034894006,0.000007989812,0.000005326675,0.00009093844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9982233,0.00007014404,0.00022412806,0.00040934296,0.0008206972,0.0002523667],"domain_scores_gemma":[0.99970627,0.000030509864,0.000059808448,0.00016227772,0.000003892052,0.000037223388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009198878,0.00010643647,0.000119695396,0.00011333912,0.00046400912,0.000028459295,0.00023729476,0.000011202444,0.00089703506],"category_scores_gemma":[0.0000015149047,0.000069459005,0.000015255464,0.0004934346,0.00018287264,0.00019333162,0.00041270902,0.000102165366,0.000018185074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074867676,0.0014663576,0.13057722,0.000004819067,0.000022697182,0.00019598647,0.007996194,0.84711176,0.010526268,0.0003268042,0.0001494163,0.0015475971],"study_design_scores_gemma":[0.026847163,0.019054772,0.15036109,0.000041048737,0.00045155818,0.0005306519,0.4196403,0.34952918,0.025317393,0.0038831448,0.001768996,0.0025746753],"about_ca_topic_score_codex":0.0068930634,"about_ca_topic_score_gemma":0.008408562,"teacher_disagreement_score":0.49758258,"about_ca_system_score_codex":0.000087364126,"about_ca_system_score_gemma":0.0000141791315,"threshold_uncertainty_score":0.9997201},"labels":[],"label_agreement":null},{"id":"W4309314195","doi":"10.3390/app122211620","title":"MR Imaging and Electrophysiological Features of Doxorubicin-Induced Fibrosis: Protocol Development in a Small Preclinical Pig Study with Histological Validation","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Sunnybrook Research Institute","keywords":"Medicine; Ventricle; Cardiotoxicity; Doxorubicin; Ejection fraction; Histology; Magnetic resonance imaging; Fibrosis; Heart failure; Chemotherapy; Pathology; Internal medicine; Nuclear medicine; Cardiology; Radiology","score_opus":0.042440576303160504,"score_gpt":0.31595038689759747,"score_spread":0.27350981059443696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309314195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821844,0.0000106702555,0.000034707413,0.00017998501,0.000010793795,0.016918778,3.734158e-7,0.000026925853,0.0006333675],"genre_scores_gemma":[0.9804921,4.9745455e-7,0.001962727,0.00016451134,0.00001967822,0.017341718,0.0000033054912,0.0000047721423,0.000010654631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865144,0.00010667117,0.00028118724,0.00042108685,0.00034543412,0.00019419215],"domain_scores_gemma":[0.99959713,0.00009622096,0.00012566778,0.00010688662,0.000026503592,0.000047616653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078944204,0.0001161382,0.00029255994,0.000104555395,0.00022115234,0.000016934653,0.00011725641,0.00003524337,0.000019111712],"category_scores_gemma":[0.000034030825,0.00007893026,0.000024916186,0.0004188496,0.00018382473,0.000035489178,0.000079516394,0.00025824792,3.381911e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001246221,0.00063262926,0.01603456,0.000026477781,0.000016871558,0.000007773994,0.0011203295,0.000040312334,0.9707868,0.0003263996,0.000009601638,0.00975201],"study_design_scores_gemma":[0.0033787433,0.0045346785,0.29372332,0.000035184556,0.000026094767,0.000044799603,0.0032740128,0.000047914396,0.69421166,0.00038037758,0.00015412444,0.0001891134],"about_ca_topic_score_codex":0.00002374056,"about_ca_topic_score_gemma":0.000017387456,"teacher_disagreement_score":0.27768874,"about_ca_system_score_codex":0.00008861213,"about_ca_system_score_gemma":0.00020360306,"threshold_uncertainty_score":0.32186824},"labels":[],"label_agreement":null},{"id":"W4309461906","doi":"10.3390/app122211702","title":"Performance Analysis and Monitoring of Vanadium Redox Flow Battery via Polarization curves","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced battery technologies research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flow battery; Vanadium; Nafion; Electrolyte; Redox; Electrode; Ohmic contact; Polarization (electrochemistry); Materials science; Analytical Chemistry (journal); Voltage; Proton exchange membrane fuel cell; Concentration polarization; Battery (electricity); Chemical engineering; Chemistry; Membrane; Electrical engineering; Inorganic chemistry; Thermodynamics; Engineering; Electrochemistry; Chromatography; Physical chemistry","score_opus":0.012621384474219632,"score_gpt":0.24081568706091272,"score_spread":0.2281943025866931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309461906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986724,0.00035335065,0.011909007,0.0000635387,0.000072296534,0.00008846973,0.00000561391,0.00012171639,0.0006619709],"genre_scores_gemma":[0.9948675,0.00017339164,0.004872908,0.000010921138,0.000009437717,0.000036171572,0.0000033595525,0.0000055759792,0.000020713085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918854,0.000008835475,0.00012705797,0.00016858302,0.00031234775,0.00019461171],"domain_scores_gemma":[0.99974567,0.000044568165,0.00002786597,0.00014636508,0.0000121731455,0.000023341008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002651097,0.000067088076,0.000120089644,0.00035239916,0.00023751083,0.0000139191425,0.00029415588,0.000017669961,0.000039207214],"category_scores_gemma":[0.000008838674,0.00006724168,0.000016244543,0.0018406445,0.00017199997,0.00013700756,0.00015787451,0.00013096893,0.0000010779307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004311368,0.000011277213,0.25152922,0.00012957331,0.00006946777,0.0000011607184,0.00015122462,0.5561057,0.14789715,0.00005450731,0.00005377541,0.043992642],"study_design_scores_gemma":[0.00015068016,0.00013010712,0.1484233,0.000025061334,0.000067842644,0.00000540761,0.0010016494,0.6324663,0.21679808,0.000337701,0.00024473603,0.00034909407],"about_ca_topic_score_codex":0.000009587095,"about_ca_topic_score_gemma":0.0000025635004,"teacher_disagreement_score":0.10310592,"about_ca_system_score_codex":0.000037589252,"about_ca_system_score_gemma":0.0000103642315,"threshold_uncertainty_score":0.27420363},"labels":[],"label_agreement":null},{"id":"W4309603933","doi":"10.3390/app122211630","title":"Effects of Varroa destructor on Hemolymph Sugars and Secondary Infections in Honeybees (Apis mellifera)","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Laboratories; Université Laval; Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Varroa destructor; Varroa; Hemolymph; Biology; Deformed wing virus; Veterinary medicine; Mite; Horticulture; Botany; Medicine","score_opus":0.012480682756020534,"score_gpt":0.22651370326288983,"score_spread":0.2140330205068693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309603933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965812,0.00014953938,4.5869956e-7,0.00016515459,0.000074505304,0.00020267574,0.000010475856,0.000015797672,0.0028001699],"genre_scores_gemma":[0.9996803,0.000030670737,0.000044162512,0.00011571158,0.000034684148,0.00005874387,0.0000036020951,5.162429e-7,0.000031632328],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897367,0.0000833449,0.00012573418,0.00024467622,0.00033698764,0.00023561408],"domain_scores_gemma":[0.9990424,0.0008199328,0.000043097545,0.000028125833,0.000011269038,0.000055188568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046487377,0.00008021687,0.00012895565,0.00005459229,0.0005206907,0.000036088626,0.00022116711,0.000028207482,0.00052037917],"category_scores_gemma":[0.000034676883,0.00003527806,0.00002537578,0.00081464095,0.00027106114,0.000049913848,0.0001249891,0.0001478112,0.0000043711334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005051596,0.00018063103,0.030685708,0.00002827688,0.000005264119,0.000006942517,0.00036695765,0.00008093771,0.9084731,0.01129791,0.00009372311,0.048730087],"study_design_scores_gemma":[0.0006295323,0.0022161384,0.7272447,0.00002525579,0.000009289273,0.000031872638,0.0016820509,0.00018799791,0.25061426,0.016062167,0.00089927256,0.00039748318],"about_ca_topic_score_codex":0.00042069115,"about_ca_topic_score_gemma":0.00028132982,"teacher_disagreement_score":0.69655895,"about_ca_system_score_codex":0.000021496373,"about_ca_system_score_gemma":0.000033256707,"threshold_uncertainty_score":0.5697787},"labels":[],"label_agreement":null},{"id":"W4309607991","doi":"10.3390/app122211666","title":"Numerical Investigation of a Novel Bottom-Up Assisted Pressure Drive Process in Oil Sands Reservoirs with Shale Barriers","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BitCan (Canada)","funders":"China University of Petroleum, Beijing; China Postdoctoral Science Foundation","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Oil shale; Injector; Oil sands; Shale oil extraction; Shale oil; Unconventional oil; Steam injection; Bottom water; Asphalt; Tight oil; Environmental science; Geology; Engineering; Waste management; Materials science; Mechanical engineering","score_opus":0.014326448379768425,"score_gpt":0.2402565413992781,"score_spread":0.22593009301950967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309607991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891189,0.00007603799,0.001206234,0.000053749092,0.000054167394,0.00012558115,0.000012524749,0.00019899826,0.009153834],"genre_scores_gemma":[0.99521893,0.0000048962816,0.0043166145,0.0000342745,0.000007992693,0.00033460872,0.000004650734,0.000014243161,0.000063803425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987887,0.000019212373,0.00020324286,0.00026547635,0.0005004619,0.00022288664],"domain_scores_gemma":[0.9996289,0.000067273744,0.00007147225,0.00013929431,0.000026129215,0.00006690923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039534736,0.00011589315,0.00017303675,0.00017120033,0.00013730883,0.000023960925,0.0003882319,0.000041736213,0.000040973104],"category_scores_gemma":[0.000027867332,0.00010535016,0.000017421175,0.0014243064,0.0002548294,0.00017962059,0.000046712557,0.00024589233,4.0285295e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012228714,0.00006769079,0.02768373,0.0004436543,0.00005044851,0.0000044740555,0.009877407,0.7034335,0.25150687,0.0030953519,0.00059907674,0.0031154933],"study_design_scores_gemma":[0.0015893441,0.0005355893,0.011031773,0.00020710763,0.000038497208,0.000019293248,0.007818617,0.21932076,0.75546104,0.002626112,0.00045873926,0.0008931497],"about_ca_topic_score_codex":0.000034832305,"about_ca_topic_score_gemma":0.000026981297,"teacher_disagreement_score":0.5039542,"about_ca_system_score_codex":0.000054545544,"about_ca_system_score_gemma":0.00013866919,"threshold_uncertainty_score":0.42960548},"labels":[],"label_agreement":null},{"id":"W4309688679","doi":"10.3390/app122211839","title":"Development of an Ontology-Based Solution to Reduce the Spread of Viruses","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"New Brunswick Innovation Foundation","keywords":"Ontology; Computer science; Population; Event (particle physics); Social distance; Context (archaeology); Computer security; Coronavirus disease 2019 (COVID-19); Knowledge management; World Wide Web; Geography; Medicine; Environmental health","score_opus":0.051168020991230315,"score_gpt":0.31921406442727035,"score_spread":0.26804604343604005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309688679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705386,0.000086541426,0.0016116999,0.00026060294,0.00006670936,0.00008159178,0.0000045395864,0.0000058077435,0.0008286293],"genre_scores_gemma":[0.9707611,6.1405404e-7,0.028793994,0.00037192728,0.000013501286,0.00003970173,0.000005040191,0.0000017651041,0.00001233586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993552,0.00003149028,0.00013731724,0.00017756161,0.00018126483,0.00011715417],"domain_scores_gemma":[0.9997317,0.000019213197,0.00007016575,0.00013778277,0.000014897345,0.000026224043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690918,0.00004735179,0.00007348451,0.000030651725,0.00023244643,0.0000035359235,0.00037508752,0.000028045706,0.000013961774],"category_scores_gemma":[0.000034923512,0.000032278505,0.00001732815,0.00016816822,0.0004148563,7.5811323e-7,0.00013156275,0.000034511886,7.8735184e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004542934,0.000049630893,0.000117228825,0.0000031711163,0.0000050214526,8.656368e-8,0.0003576693,0.0001943187,0.96466553,0.00030598967,0.00028832766,0.033967573],"study_design_scores_gemma":[0.00011611997,0.00032581802,0.0015965685,0.0000021019932,0.000003404159,9.951658e-7,0.0017392179,0.00006248408,0.96656597,0.00008568205,0.029441385,0.000060263566],"about_ca_topic_score_codex":0.000018877125,"about_ca_topic_score_gemma":0.00006354811,"teacher_disagreement_score":0.033907313,"about_ca_system_score_codex":0.0000058818873,"about_ca_system_score_gemma":0.00020180304,"threshold_uncertainty_score":0.17878135},"labels":[],"label_agreement":null},{"id":"W4309786421","doi":"10.3390/app122211750","title":"Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transparency (behavior); Computer science; Trustworthiness; Field (mathematics); Data science; Computer security","score_opus":0.05818764195076393,"score_gpt":0.32765044737864485,"score_spread":0.2694628054278809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309786421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6777064,0.00016450221,0.30014357,0.0056529786,0.0014226234,0.0007009479,0.0000018853486,0.0010561468,0.013150932],"genre_scores_gemma":[0.97513455,0.0000041013627,0.023559166,0.0009802483,0.00009115528,0.00012535632,0.000004310565,0.000008339381,0.000092762144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99629694,0.00015543413,0.0005560451,0.0008571552,0.0015343528,0.0006000769],"domain_scores_gemma":[0.9990088,0.00012458955,0.00018443033,0.00048403512,0.00006206886,0.00013608579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043360176,0.00016584505,0.00020629416,0.00037310453,0.001262052,0.0003779201,0.0018189606,0.0000589158,0.00017016979],"category_scores_gemma":[0.00020638936,0.0001625399,0.00003830737,0.0027033885,0.00033351575,0.0008618495,0.00082925946,0.00029732744,0.00003108716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016669654,0.0006606527,0.003215271,0.000032519245,0.000019106985,0.0036298414,0.0065669976,0.3610481,0.2895314,0.29795375,0.011136304,0.026189351],"study_design_scores_gemma":[0.000089603105,0.00005776063,0.00035883783,0.0000061129244,0.0000020665072,0.00019398126,0.0013328593,0.9652746,0.027304986,0.0032111735,0.0019089822,0.0002590421],"about_ca_topic_score_codex":0.0005151325,"about_ca_topic_score_gemma":0.00007243003,"teacher_disagreement_score":0.60422647,"about_ca_system_score_codex":0.00018362317,"about_ca_system_score_gemma":0.0007745014,"threshold_uncertainty_score":0.97068113},"labels":[],"label_agreement":null},{"id":"W4309788759","doi":"10.3390/app122211760","title":"Persian Optical Character Recognition Using Deep Bidirectional Long Short-Term Memory","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Persian; Computer science; Artificial intelligence; Natural language processing; Optical character recognition; Context (archaeology); Character (mathematics); Convolutional neural network; Arabic; Deep learning; Term (time); Speech recognition; Linguistics; Image (mathematics); Mathematics; History","score_opus":0.046375180538908364,"score_gpt":0.27691000945899674,"score_spread":0.23053482892008836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309788759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6420251,0.00005320459,0.3295692,0.0006309944,0.00071521354,0.00046853727,0.0000088139095,0.0007014802,0.025827454],"genre_scores_gemma":[0.9239829,0.0000046356604,0.07514443,0.0005301143,0.00013314592,0.00014684566,0.0000123832,0.000009175637,0.000036354442],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977912,0.000081226186,0.0002561087,0.00066842063,0.00080618594,0.00039689985],"domain_scores_gemma":[0.99941367,0.000095045616,0.000080626174,0.00023655908,0.000057988396,0.000116137766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010388073,0.00015554359,0.00015720152,0.0003468367,0.0012859766,0.00030484394,0.00095022836,0.000047872698,0.0005335578],"category_scores_gemma":[0.000014789018,0.00015786274,0.00007833256,0.0009902572,0.000393999,0.00063789025,0.0004986277,0.00026934236,0.00006594756],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017966522,0.00029727112,0.0013275323,0.0000165815,0.000027909724,0.000056881865,0.0014238587,0.000120486846,0.061665963,0.010598938,0.00024342586,0.92420316],"study_design_scores_gemma":[0.0016185628,0.0014017647,0.025308797,0.000121736855,0.00013939134,0.0033124317,0.006699623,0.23636979,0.6625612,0.055621468,0.002218554,0.0046266937],"about_ca_topic_score_codex":0.000013767694,"about_ca_topic_score_gemma":0.000008754726,"teacher_disagreement_score":0.91957647,"about_ca_system_score_codex":0.0001398731,"about_ca_system_score_gemma":0.00013527159,"threshold_uncertainty_score":0.9890823},"labels":[],"label_agreement":null},{"id":"W4309852287","doi":"10.3390/app122312004","title":"Evaluating the Impact of Land Cover and Topography on Meteorological Parameters’ Relations and Similarities in the Alberta Oil Sands Region","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Calgary","funders":"","keywords":"Wind speed; Environmental science; Wind direction; Relative humidity; Land cover; Snow; Climatology; Meteorology; Geography; Physical geography; Land use; Geology; Engineering","score_opus":0.03278761711597607,"score_gpt":0.2767188634001122,"score_spread":0.24393124628413615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309852287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988355,0.00003675143,0.000029261304,0.0003648396,0.000008694085,0.00008622609,9.684663e-7,0.0000023944008,0.011115871],"genre_scores_gemma":[0.99885654,0.000029193548,0.0006907429,0.0002939571,0.0000023315788,0.00003242398,6.6565275e-7,0.0000018954721,0.00009224613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920636,0.00009912813,0.00010013157,0.00018525978,0.00028303268,0.00012605601],"domain_scores_gemma":[0.9993591,0.0004670985,0.00005587487,0.00009967398,4.3164263e-7,0.000017834802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000720792,0.00006917912,0.00007395252,0.0000075596085,0.0004890369,0.00002424119,0.0001878719,0.00001839659,0.00014065678],"category_scores_gemma":[0.000017963062,0.000034694818,0.000025886462,0.00026975726,0.0010446802,0.000053461885,0.00016246032,0.00011868515,0.0000012887488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031376192,0.00004148461,0.51928145,7.3070936e-7,0.000004485835,5.707734e-7,0.002461516,0.47240788,0.00017628144,0.00085863436,0.00004994876,0.004685609],"study_design_scores_gemma":[0.0002881304,0.00093676575,0.91702515,0.000002380433,0.000015069336,0.00001623149,0.0037575066,0.07151394,0.0000063158436,0.006216287,0.00010627266,0.00011596675],"about_ca_topic_score_codex":0.0011226597,"about_ca_topic_score_gemma":0.00005378563,"teacher_disagreement_score":0.40089396,"about_ca_system_score_codex":0.000030997566,"about_ca_system_score_gemma":0.0000044251765,"threshold_uncertainty_score":0.38491678},"labels":[],"label_agreement":null},{"id":"W4310039509","doi":"10.3390/app122312019","title":"Thermal Characterization of Phase Change Materials by Differential Scanning Calorimetry: A Review","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Differential scanning calorimetry; Materials science; Thermal energy storage; Characterization (materials science); Enthalpy; Thermodynamics; Heat capacity; Phase change; Melting temperature; Thermal; Nanotechnology; Composite material; Physics","score_opus":0.1646667814853099,"score_gpt":0.3787413893359703,"score_spread":0.2140746078506604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310039509","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002986906,0.99262875,0.00004139806,0.0000055999367,0.00075131183,0.0016581567,0.0013198948,0.00011942462,0.0004885529],"genre_scores_gemma":[0.0011493508,0.9954376,0.000015757207,0.00002385632,0.00032007543,0.0015317592,0.0014451056,0.0000638926,0.000012602022],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761355,0.00017184026,0.00068967574,0.00041428034,0.0006557998,0.0004548315],"domain_scores_gemma":[0.9992304,0.000078834586,0.00029541022,0.0002946357,0.000014804721,0.00008594005],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094917614,0.0003843003,0.0015660289,0.00027629745,0.00016511977,0.000097482676,0.0008358821,0.000114112845,0.0041654846],"category_scores_gemma":[0.000021939977,0.00031364517,0.000118292744,0.0009589249,0.00017991893,0.00014438851,0.00023958254,0.00017946852,0.00003417558],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000349847,0.00005567087,2.3882992e-8,0.0506255,0.000053721193,0.000002389345,0.00008260026,1.5158354e-7,0.29253137,0.000043533848,0.00034922283,0.6562523],"study_design_scores_gemma":[0.00020984918,0.000069302434,3.008971e-7,0.008215147,0.00022273153,0.0000037593763,0.0000075105286,0.000021342565,0.01801487,0.0000023258774,0.97276783,0.00046503491],"about_ca_topic_score_codex":0.000015332897,"about_ca_topic_score_gemma":2.0723024e-7,"teacher_disagreement_score":0.9724186,"about_ca_system_score_codex":0.00009352277,"about_ca_system_score_gemma":0.00006977208,"threshold_uncertainty_score":0.9999316},"labels":[],"label_agreement":null},{"id":"W4310184971","doi":"10.3390/app122312159","title":"Arabic Emotional Voice Conversion Using English Pre-Trained StarGANv2-VC-Based Model","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"King Saud University","keywords":"Prosody; Computer science; Speech recognition; Identity (music); Arabic; Natural language processing; Generative grammar; Artificial intelligence; Psychology; Linguistics","score_opus":0.040328397784666285,"score_gpt":0.25196903258446324,"score_spread":0.21164063479979695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310184971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39127117,0.000017916158,0.59889597,0.0004748745,0.00046134664,0.0002516604,0.000018418948,0.0002667428,0.0083419],"genre_scores_gemma":[0.9007399,8.1677405e-7,0.09784198,0.0012301413,0.000045134122,0.000027335731,0.000004400244,0.0000053171057,0.000104999526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979033,0.0000778908,0.00019817597,0.0005599373,0.00093267,0.00032801254],"domain_scores_gemma":[0.9992827,0.00018755111,0.00010259861,0.00024405323,0.00008075925,0.00010231601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009693716,0.00013148648,0.00014100829,0.00022036275,0.0012435479,0.00019547624,0.0011089379,0.00003150273,0.00032474805],"category_scores_gemma":[0.000046388614,0.00012631979,0.00006958888,0.0009588491,0.00020994704,0.00035492828,0.00026086168,0.00014283652,0.000024607953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011386656,0.0010166146,0.0012639285,0.000065410626,0.000050343337,0.000030434756,0.007846974,0.68243986,0.08705813,0.17000498,0.0048055546,0.045303892],"study_design_scores_gemma":[0.00030591903,0.000046827412,0.00018646475,0.000004538362,0.000005121737,0.000004314951,0.00043202678,0.98635757,0.00824013,0.0033943162,0.000821592,0.00020119443],"about_ca_topic_score_codex":0.00001435494,"about_ca_topic_score_gemma":0.0000034270115,"teacher_disagreement_score":0.50946873,"about_ca_system_score_codex":0.00009540139,"about_ca_system_score_gemma":0.00042938793,"threshold_uncertainty_score":0.95644903},"labels":[],"label_agreement":null},{"id":"W4310676773","doi":"10.3390/app122312342","title":"Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Computer science; Decision support system; Interpretation (philosophy); Expert system; Domain (mathematical analysis); Artificial intelligence","score_opus":0.061639019347754884,"score_gpt":0.3791529380262091,"score_spread":0.3175139186784542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310676773","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37333348,0.61196536,0.0012368704,0.0029847128,0.00036725384,0.0021231498,0.000009297549,0.00022225207,0.0077576176],"genre_scores_gemma":[0.95127636,0.046045627,0.0011186263,0.00003435003,0.0000760762,0.0014245906,0.000001971367,0.000005590966,0.000016817536],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99882275,0.00006239462,0.00016214019,0.0003660107,0.00040680534,0.00017991744],"domain_scores_gemma":[0.9992797,0.00042714304,0.00004217506,0.00010964282,0.000060039118,0.00008134099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024887205,0.0000709836,0.00024242052,0.00021857882,0.0007955162,0.000044435343,0.00006264519,0.000021417749,0.0000013721459],"category_scores_gemma":[0.00006812309,0.000055242235,0.000032772758,0.00038240582,0.00013607866,0.00004645511,0.00007815036,0.000102002065,5.6170023e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007720564,0.000045085995,0.0018796842,0.0020081683,0.00007834582,0.0000052915602,0.0018352967,0.000003026344,0.0011838385,0.0038684572,0.0010437954,0.9879718],"study_design_scores_gemma":[0.0072940323,0.014385412,0.026347281,0.026717322,0.0027817008,0.002520134,0.67996335,0.0425894,0.013474205,0.0032407404,0.17844449,0.0022419589],"about_ca_topic_score_codex":0.000024639487,"about_ca_topic_score_gemma":0.000004959535,"teacher_disagreement_score":0.9857299,"about_ca_system_score_codex":0.00006096601,"about_ca_system_score_gemma":0.000032394062,"threshold_uncertainty_score":0.61185473},"labels":[],"label_agreement":null},{"id":"W4310716484","doi":"10.3390/app122312355","title":"Performance Analysis of Hardware Implementations of Reverse Conversion from the Residue Number System","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Higher Education of the Russian Federation; Centre de Recherches Mathématiques","keywords":"Residue number system; Chinese remainder theorem; Computer science; Moduli; Computation; Arithmetic; Modulo; Residue (chemistry); Remainder; Computer hardware; Radix (gastropod); Algorithm; Parallel computing; Mathematics; Discrete mathematics; Chemistry","score_opus":0.01616653278421585,"score_gpt":0.24563189586925888,"score_spread":0.22946536308504303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310716484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916164,0.00003956027,0.0052583013,0.00027310703,0.0001256367,0.00014657457,0.000059683294,0.000024620478,0.002456098],"genre_scores_gemma":[0.99519986,0.0000072799703,0.0046730656,0.00007412603,0.000006620671,0.000021743677,0.0000073493507,0.0000013397253,0.000008616186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987587,0.000075648924,0.00023694709,0.00024693448,0.000550014,0.00013177647],"domain_scores_gemma":[0.9991215,0.00025539997,0.00020365797,0.0003579893,0.00003779579,0.000023654538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071440364,0.000060901923,0.00015482082,0.00015740762,0.0006998642,0.000027730677,0.001147842,0.000011494834,0.00014531563],"category_scores_gemma":[0.0000042852553,0.000042276126,0.00009604602,0.0035872513,0.00025385807,0.00012087551,0.00035968886,0.00006530209,0.0000035695552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003292036,0.00014547555,0.62345076,0.00007146344,0.0006949349,0.0000034494153,0.017634902,0.028121104,0.007181199,0.31500176,0.003884954,0.0037770916],"study_design_scores_gemma":[0.0009333832,0.00022910164,0.7200146,0.000042066757,0.000927861,0.000006725247,0.07683019,0.16625409,0.030594377,0.0013294253,0.0023697533,0.0004684648],"about_ca_topic_score_codex":0.0008680223,"about_ca_topic_score_gemma":0.000047185993,"teacher_disagreement_score":0.31367233,"about_ca_system_score_codex":0.000017700246,"about_ca_system_score_gemma":0.0000700668,"threshold_uncertainty_score":0.538286},"labels":[],"label_agreement":null},{"id":"W4311039742","doi":"10.3390/app122312213","title":"Improvement of the Wear Resistance of Circular Saws Used in the First Transformation of Wood through the Utilization of Variable Engineered Micro-Geometry Performed on PVD-Coated WC-Co Tips","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Université Laval","keywords":"Materials science; Coating; Tungsten carbide; Delamination (geology); Cemented carbide; Composite material; Enhanced Data Rates for GSM Evolution; Indentation; Circular saw; Abrasion (mechanical); Carbide; Geometry; Reduction (mathematics)","score_opus":0.03324847191504322,"score_gpt":0.23396066761645629,"score_spread":0.20071219570141308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311039742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961387,0.00012106263,0.0002004595,0.0002446221,0.00009731934,0.0005938207,0.00004186399,0.0000053540925,0.002556825],"genre_scores_gemma":[0.9996565,0.000016313803,0.0001526302,0.000085913955,0.0000054310763,0.000053832886,0.0000035295302,0.000004116411,0.000021754897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983009,0.00011058447,0.00047304214,0.00016224165,0.00079416967,0.00015907909],"domain_scores_gemma":[0.99919415,0.00015664984,0.00029858312,0.00030047575,0.000042044663,0.000008081914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024255288,0.00009171474,0.00019744934,0.00006904367,0.0002878043,0.000017329456,0.0008239986,0.00002705765,0.00013829542],"category_scores_gemma":[0.000043918335,0.0000453669,0.00005028049,0.0011619261,0.00040695546,0.00011609934,0.000053038693,0.00009176611,0.0000010332052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006652955,0.00008178386,0.000099963276,0.0001375314,0.0000056159015,2.2835087e-8,0.010444424,0.0038257395,0.9784184,0.006839775,0.000029672785,0.000050526727],"study_design_scores_gemma":[0.00027739652,0.00014328239,0.00077889697,0.000031470936,0.000013276712,3.9668103e-7,0.0067316424,0.00039004412,0.9904123,0.0006512477,0.0005136948,0.000056351822],"about_ca_topic_score_codex":0.00017064705,"about_ca_topic_score_gemma":0.00003295204,"teacher_disagreement_score":0.011993883,"about_ca_system_score_codex":0.000022973138,"about_ca_system_score_gemma":0.00009736918,"threshold_uncertainty_score":0.22135869},"labels":[],"label_agreement":null},{"id":"W4311545194","doi":"10.3390/app122312443","title":"Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Landslide; Satellite imagery; Satellite; Geohazard; Mediterranean climate; Geography; Physical geography; Geology; Debris; Remote sensing; Cartography; Meteorology; Geomorphology; Archaeology","score_opus":0.011206642927814581,"score_gpt":0.2162100057890423,"score_spread":0.2050033628612277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311545194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9430083,0.0007832757,0.000022612403,0.00059678644,0.00013979066,0.00021646591,0.000017586053,0.000026620333,0.05518858],"genre_scores_gemma":[0.99789417,0.00037313986,0.00022665392,0.00071998686,0.0000145978365,0.00003490032,0.000015568334,0.0000061869655,0.00071480963],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983382,0.00009413171,0.00024573007,0.00045079985,0.00052059547,0.00035053343],"domain_scores_gemma":[0.9994228,0.00026354584,0.000079394136,0.00012888157,0.000002135921,0.000103244456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018691235,0.00012384569,0.0001858821,0.000054269338,0.000432941,0.000052850475,0.00034825457,0.000057553345,0.005376484],"category_scores_gemma":[0.000023959707,0.000093524824,0.00002411214,0.00087655045,0.00032821394,0.00009119252,0.00035359644,0.00024057405,0.00006140569],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012592538,0.00016811154,0.6177609,0.000017479335,0.0000327621,0.000051241943,0.0026887348,0.0008738426,0.012067342,0.00014710403,0.09623983,0.26982674],"study_design_scores_gemma":[0.0031949992,0.000649464,0.43281743,0.000036351255,0.00003054873,0.00009383344,0.0050322437,0.003960397,0.0029368731,0.0034047877,0.5464808,0.0013622835],"about_ca_topic_score_codex":0.0009025867,"about_ca_topic_score_gemma":0.00054972124,"teacher_disagreement_score":0.45024094,"about_ca_system_score_codex":0.000042696553,"about_ca_system_score_gemma":0.000022155304,"threshold_uncertainty_score":0.99553275},"labels":[],"label_agreement":null},{"id":"W4311791768","doi":"10.3390/app122412862","title":"Bacterial Communities in Informal Dump Sites: A Rich Source of Unique Diversity and Functional Potential for Bioremediation Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Acidobacteria; Gemmatimonadetes; Proteobacteria; Firmicutes; Chloroflexi (class); Actinobacteria; Biology; Bacteroidetes; Bioremediation; Ecology; Bacteria; 16S ribosomal RNA; Contamination","score_opus":0.01977910338405017,"score_gpt":0.20906152685934948,"score_spread":0.1892824234752993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311791768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741364,0.000003085558,0.0013731974,0.000055800112,0.000035744662,0.00026017753,0.00002027696,0.000007115991,0.0008309918],"genre_scores_gemma":[0.9992782,0.0000036856457,0.00036938215,0.00013892572,0.000011455574,0.00007248267,0.00010418712,0.0000012574395,0.000020418254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954104,0.000068717505,0.000108120956,0.000083029896,0.00008679652,0.000112305],"domain_scores_gemma":[0.99968004,0.00014936122,0.00007235065,0.000077225566,0.0000044949,0.000016555126],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053666305,0.00004547073,0.00007385368,0.000052199415,0.0017143608,0.0000056998856,0.00023295748,0.000027736312,0.0011343461],"category_scores_gemma":[0.000004605604,0.000046888483,0.000013052736,0.00020793661,0.0006555915,0.0000900824,0.0013076668,0.00010046328,0.0000029492392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009638534,0.00075261167,0.4184451,0.000056396457,0.00003102576,2.6049403e-7,0.044441484,0.11081413,0.39299926,0.023577554,0.0029090699,0.0050092367],"study_design_scores_gemma":[0.0024926271,0.0009089792,0.9031725,0.0000033231468,0.000037352125,0.000012252879,0.02987012,0.01038606,0.0035665303,0.021498872,0.0275039,0.00054746907],"about_ca_topic_score_codex":0.00048567736,"about_ca_topic_score_gemma":0.001476091,"teacher_disagreement_score":0.4847274,"about_ca_system_score_codex":0.000025997348,"about_ca_system_score_gemma":0.000015644451,"threshold_uncertainty_score":0.99977875},"labels":[],"label_agreement":null},{"id":"W4311960301","doi":"10.3390/app122412614","title":"Lung Nodules Localization and Report Analysis from Computerized Tomography (CT) Scan Using a Novel Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Nodule (geology); Lung cancer; Radiology; Computed tomography; Computer science; Medicine; Tomography; Artificial intelligence; Pathology","score_opus":0.017104199214363524,"score_gpt":0.2753790537237313,"score_spread":0.25827485450936777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311960301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5862787,0.0002558196,0.41165906,0.00026984626,0.000056420264,0.00015958954,0.0000049088994,0.00006708698,0.0012486193],"genre_scores_gemma":[0.9151718,0.00000949662,0.08386289,0.00062760327,0.00006406529,0.00001509847,0.00021356033,0.000011825326,0.00002366486],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821883,0.000058113794,0.00030206982,0.000574955,0.00060964434,0.00023637307],"domain_scores_gemma":[0.99940145,0.000072027186,0.0002077279,0.0001665287,0.000023184379,0.00012907099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011273085,0.00013888176,0.00036833689,0.000464036,0.0010089154,0.00010480023,0.00016126395,0.000018173769,0.000066271066],"category_scores_gemma":[0.0000540862,0.00012064139,0.00008962339,0.001995748,0.00035757202,0.00005918062,0.00020722163,0.00035493658,1.9819512e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007260706,0.00025854094,0.56913567,0.000053333322,0.0006672668,0.000096651,0.0012975157,0.38559797,0.032318756,0.0013766303,0.00010390315,0.0090211565],"study_design_scores_gemma":[0.0006213056,0.000031827512,0.008697629,0.000007209295,0.0004228941,0.00019043818,0.00051388756,0.9874234,0.00004292239,0.00008231903,0.0018247908,0.00014135441],"about_ca_topic_score_codex":0.0011634484,"about_ca_topic_score_gemma":0.0000038502703,"teacher_disagreement_score":0.6018254,"about_ca_system_score_codex":0.00004850802,"about_ca_system_score_gemma":0.00006738724,"threshold_uncertainty_score":0.7759863},"labels":[],"label_agreement":null},{"id":"W4312123895","doi":"10.3390/app122412690","title":"Effect of Raster Angle and Infill Pattern on the In-Plane and Edgewise Flexural Properties of Fused Filament Fabricated Acrylonitrile–Butadiene–Styrene","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Materials science; Flexural strength; Composite material; Raster graphics; Flexural modulus; Acrylonitrile butadiene styrene; Scanning electron microscope; Geometry; Mathematics; Computer science","score_opus":0.015689165989598058,"score_gpt":0.2021522935754293,"score_spread":0.18646312758583125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312123895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990046,0.00017796828,0.000017286959,0.000067236055,0.000032554377,0.00019711831,0.000010201921,0.000063932566,0.00042908895],"genre_scores_gemma":[0.99987555,0.000012944385,0.00002204203,0.0000146496395,0.0000041503104,0.000058709786,0.0000011197003,0.0000047327912,0.000006091531],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994189,0.000033637887,0.00012414348,0.00013947555,0.00014351757,0.00014032466],"domain_scores_gemma":[0.99966395,0.00017196877,0.00004224247,0.000105448715,0.000004609978,0.000011778268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004030236,0.0000928993,0.00014886087,0.00011065612,0.000101049016,0.000015248923,0.00018257691,0.000019294777,0.000014022702],"category_scores_gemma":[0.000023541961,0.000055956865,0.000010723166,0.00018275339,0.0003185051,0.000023480008,0.00017447512,0.00011560841,6.149028e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020213956,0.00010117685,0.027687619,0.00062276004,0.00008783897,0.000005914352,0.0052080317,0.014018698,0.6191689,0.00083874754,0.00043089685,0.33162728],"study_design_scores_gemma":[0.0002465784,0.00034375873,0.008439378,0.000031880354,0.0000056307617,0.0000022312502,0.0007207825,0.0014112638,0.9885135,0.000107821055,0.00008460227,0.0000925663],"about_ca_topic_score_codex":0.000027868353,"about_ca_topic_score_gemma":0.000003399384,"teacher_disagreement_score":0.36934462,"about_ca_system_score_codex":0.000012391613,"about_ca_system_score_gemma":0.0000042212187,"threshold_uncertainty_score":0.22818547},"labels":[],"label_agreement":null},{"id":"W4312123994","doi":"10.3390/app122412660","title":"Users’ Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Chatbot; Nudge theory; Information sensitivity; Self-disclosure; Psychology; Internet privacy; Social psychology; Computer science; World Wide Web; Computer security","score_opus":0.009334310555833902,"score_gpt":0.2647970733220419,"score_spread":0.255462762766208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312123994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98823434,0.000017603406,0.0003544384,0.0016741874,0.0003451088,0.00082462956,0.000054289845,0.00007929202,0.008416137],"genre_scores_gemma":[0.9994255,0.000013026792,0.00007391099,0.00006081283,0.000051387895,0.0003132662,0.000037690083,0.0000028771774,0.000021575164],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9982659,0.0001877992,0.00026315896,0.00013015182,0.00090412167,0.0002488758],"domain_scores_gemma":[0.9992168,0.00014531823,0.00031502027,0.00022915177,0.000042830958,0.00005090537],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00167511,0.0001114353,0.0001248808,0.00018155387,0.003624155,0.00026233844,0.0007690475,0.000032686097,0.000108373766],"category_scores_gemma":[0.00013392125,0.00007140007,0.00004346979,0.0010713257,0.0006219281,0.0032565396,0.0002925315,0.0002503034,0.000014881586],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013990909,0.0003257668,0.22589508,0.00042637312,0.00016463014,0.0000024162023,0.5486032,0.007885996,0.0051532956,0.14286871,0.005465286,0.061810154],"study_design_scores_gemma":[0.0037748304,0.0026607537,0.22660084,0.000117119715,0.00032209585,0.000041622483,0.56499916,0.00067145657,0.027347809,0.005181855,0.16676015,0.0015223023],"about_ca_topic_score_codex":0.0014342847,"about_ca_topic_score_gemma":0.00080564595,"teacher_disagreement_score":0.16129486,"about_ca_system_score_codex":0.000106167594,"about_ca_system_score_gemma":0.00011450281,"threshold_uncertainty_score":0.997673},"labels":[],"label_agreement":null},{"id":"W4312125889","doi":"10.3390/app122412720","title":"A Localized Bloom Filter-Based CP-ABE in Smart Healthcare","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Encryption; Attribute-based encryption; Computer security; Computer science; Cloud computing; Ciphertext; Internet privacy; Cryptography; Client-side encryption; Health care; The Internet; Access control; On-the-fly encryption; Public-key cryptography; World Wide Web; Political science","score_opus":0.026619458411482444,"score_gpt":0.26041858577884786,"score_spread":0.2337991273673654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312125889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63045555,0.0011420901,0.3261209,0.020391505,0.0015278581,0.0017992774,0.00018741156,0.0009315826,0.017443769],"genre_scores_gemma":[0.9744559,0.0000029256955,0.022432636,0.0029235068,0.000016390599,0.00015146476,0.000010860045,0.0000034665882,0.0000028390134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977944,0.00012679427,0.0002489943,0.0006801159,0.000689985,0.00045973324],"domain_scores_gemma":[0.9991218,0.00015303575,0.00008459757,0.00051579723,0.000015505226,0.00010925997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013046095,0.00013012192,0.00017379769,0.00031377247,0.0007516531,0.0001768527,0.0019591812,0.00002915728,0.00010738634],"category_scores_gemma":[0.000012372509,0.00012358675,0.00005734327,0.0028386326,0.00025859333,0.00023393339,0.00059076544,0.00024723916,0.00001558211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035384826,0.00032364583,0.006837347,0.00002569135,0.0000039880583,0.000030715393,0.001558175,0.0013187263,0.0009959015,0.9732337,0.0019471715,0.01368954],"study_design_scores_gemma":[0.0076949415,0.0020518282,0.02023726,0.00009060445,0.000016563974,0.000062247076,0.0051258467,0.24190894,0.012599144,0.4388545,0.26851898,0.0028391771],"about_ca_topic_score_codex":0.00043117147,"about_ca_topic_score_gemma":0.0003344352,"teacher_disagreement_score":0.53437924,"about_ca_system_score_codex":0.000041545896,"about_ca_system_score_gemma":0.00027625958,"threshold_uncertainty_score":0.5781184},"labels":[],"label_agreement":null},{"id":"W4312202340","doi":"10.3390/app13010270","title":"Microscopic Pair Potentials and the Physical Properties of the Condensed Phases of Parahydrogen","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Spin isomers of hydrogen; Intermolecular force; Kinetic energy; Chemical physics; Thermodynamics; Materials science; Ab initio; Hard core; Computational chemistry; Molecule; Statistical physics; Chemistry; Physics; Hydrogen; Classical mechanics; Quantum mechanics","score_opus":0.013134000080154971,"score_gpt":0.22520146301958655,"score_spread":0.21206746293943157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312202340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837166,0.00017554201,0.00003936263,0.00031435103,0.000055989203,0.00029595353,0.00002760667,0.0000054053644,0.00071412406],"genre_scores_gemma":[0.99977857,9.137264e-7,0.000031277657,0.000050531653,0.000028383227,0.00005612605,8.1334684e-7,0.000004015004,0.000049374903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991647,0.00008158078,0.00017076649,0.00016156849,0.00028638798,0.000134971],"domain_scores_gemma":[0.9995833,0.000095052084,0.00011652671,0.00017240636,0.000017484494,0.000015207217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601556,0.00007933232,0.00018182768,0.000018749884,0.0004485336,0.000022318625,0.0004160865,0.0000067987626,0.000041216965],"category_scores_gemma":[0.000004638365,0.00004018964,0.000066212386,0.00022925768,0.0017542719,0.000035082077,0.00024465617,0.00008047627,7.943996e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043225566,0.00015017626,0.010472218,0.000016892855,0.000044683413,6.376449e-8,0.002979276,0.000781054,0.8345008,0.15026267,0.00007943565,0.0006695344],"study_design_scores_gemma":[0.0014522896,0.000097667034,0.0010140485,0.000017882665,0.00008169864,0.0000013795957,0.009378679,0.011814288,0.9458755,0.029866453,0.00022473941,0.00017537021],"about_ca_topic_score_codex":0.00020012686,"about_ca_topic_score_gemma":0.0000021211438,"teacher_disagreement_score":0.12039621,"about_ca_system_score_codex":0.0000043640734,"about_ca_system_score_gemma":0.00009000526,"threshold_uncertainty_score":0.6463688},"labels":[],"label_agreement":null},{"id":"W4312202405","doi":"10.3390/app13010302","title":"Predicting the Onset of Freezing of Gait Using EEG Dynamics","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Australian Research Council","keywords":"Electroencephalography; Physical medicine and rehabilitation; Gait; Turnover; Psychology; Work (physics); Computer science; Audiology; Medicine; Neuroscience; Engineering","score_opus":0.04245489006021748,"score_gpt":0.2796455589119075,"score_spread":0.23719066885169005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312202405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99193096,0.000020395984,0.00066394877,0.00021289774,0.0002351174,0.00012926494,0.000029400113,0.000022539667,0.006755477],"genre_scores_gemma":[0.9990886,0.0000012160574,0.0006513614,0.0002006741,0.000014728367,0.0000065543218,3.4144628e-7,0.0000037392124,0.000032773096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986821,0.00008194466,0.00023945843,0.0002691503,0.0005292239,0.0001981313],"domain_scores_gemma":[0.9989991,0.00055701146,0.0002336114,0.00017625382,0.000013855285,0.00002015501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083316467,0.00007370657,0.000121247635,0.00008283153,0.00068749354,0.000035260964,0.0009314777,0.000012813496,0.000031174797],"category_scores_gemma":[0.00008309635,0.000051901563,0.000038027258,0.00071171595,0.000681874,0.00007596953,0.00045036807,0.00013958666,6.684965e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012296782,0.000058640304,0.004909708,0.000020028965,0.0000038864,0.0000018395814,0.0033521622,0.046011407,0.9203302,0.023369292,0.00009388001,0.0018366599],"study_design_scores_gemma":[0.00013150711,0.00014153223,0.0005244536,0.000019374342,0.000009685395,0.000038905153,0.0070246984,0.4319681,0.55662686,0.0031927328,0.00019716553,0.00012504024],"about_ca_topic_score_codex":0.00008335982,"about_ca_topic_score_gemma":0.00001342605,"teacher_disagreement_score":0.38595667,"about_ca_system_score_codex":0.000025053872,"about_ca_system_score_gemma":0.00007457843,"threshold_uncertainty_score":0.5287714},"labels":[],"label_agreement":null},{"id":"W4312225122","doi":"10.3390/app122412837","title":"Bio-Sourced and Biodegradable Membranes","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Membrane; Biofouling; Biodegradable polymer; Biochemical engineering; Polymeric membrane; Materials science; Nanotechnology; Polymer; Chemistry; Engineering","score_opus":0.01008332891915419,"score_gpt":0.19028778154851989,"score_spread":0.18020445262936569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312225122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96335065,0.000070926886,0.0005295852,0.00029229655,0.000100155434,0.000089226756,0.000009740786,0.00002783344,0.035529565],"genre_scores_gemma":[0.9984762,0.000007996916,0.00084258954,0.00027138868,0.000010251657,0.000013834187,0.0000015456695,0.0000025716931,0.00037359644],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920493,0.000015380898,0.00007686283,0.00024390436,0.00026939405,0.00018954108],"domain_scores_gemma":[0.9997901,0.000057728023,0.00003420998,0.000065401415,6.933078e-7,0.000051899966],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034927647,0.000062845145,0.00005911452,0.000031019772,0.000900032,0.00003794885,0.00018025118,0.000011665406,0.0027187471],"category_scores_gemma":[0.0000070902843,0.0000519717,0.000010107869,0.0003396734,0.0005324468,0.000042813273,0.00023958512,0.00005834993,0.00009823323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000500543,0.00014526301,0.0217065,0.000015255895,0.00001138,0.00000763748,0.0017619557,0.02518722,0.8761615,0.03724237,0.016064122,0.021646746],"study_design_scores_gemma":[0.0013242132,0.0006025066,0.03223152,0.0000067457504,0.00004926226,0.00015048758,0.004484956,0.05344029,0.06308051,0.020217834,0.8231078,0.0013038617],"about_ca_topic_score_codex":0.00011847833,"about_ca_topic_score_gemma":0.000017620161,"teacher_disagreement_score":0.81308097,"about_ca_system_score_codex":0.000025730216,"about_ca_system_score_gemma":0.00000954733,"threshold_uncertainty_score":0.9981929},"labels":[],"label_agreement":null},{"id":"W4313210683","doi":"10.3390/app122412753","title":"Tracking the Biogenic Component of Lower-Carbon Intensive, Co-Processed Fuels—An Overview of Existing Approaches","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Radiocarbon dating; Fossil fuel; Environmental science; Carbon fibers; Process engineering; Yield (engineering); Component (thermodynamics); Accelerator mass spectrometry; Waste management; Materials science; Engineering; Geology; Metallurgy","score_opus":0.2550942207623097,"score_gpt":0.3612758352813464,"score_spread":0.10618161451903668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313210683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9528631,0.00095501024,0.000010810401,0.00025127895,0.00006117898,0.0001937165,0.00000476732,0.000024910703,0.045635246],"genre_scores_gemma":[0.999637,0.000019965064,0.000117183015,0.00009965646,0.000019516814,0.00005770021,0.0000057501916,0.0000073170017,0.00003588923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99790454,0.00020282828,0.00035312626,0.00036394456,0.0008249293,0.00035065852],"domain_scores_gemma":[0.9989682,0.00030147872,0.00018256894,0.0003275539,0.00016585857,0.00005434569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019522904,0.00012277345,0.0002554258,0.00010333772,0.0005497883,0.000037667432,0.0009763865,0.00003393452,0.00009248415],"category_scores_gemma":[0.00018765363,0.00008775076,0.00007866832,0.0011263185,0.0010653504,0.00008376317,0.00028581385,0.00019041925,7.990431e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002440421,0.00040778687,0.0013835564,0.00031721228,0.00005617841,0.0000061464193,0.003592839,0.061123367,0.063989736,0.82767147,0.000013600864,0.041194085],"study_design_scores_gemma":[0.0018570147,0.0026851739,0.010044668,0.00013796189,0.00013563743,0.00006137157,0.39849705,0.08331424,0.258663,0.22853546,0.014635286,0.0014331284],"about_ca_topic_score_codex":0.0014165471,"about_ca_topic_score_gemma":0.00011951826,"teacher_disagreement_score":0.599136,"about_ca_system_score_codex":0.000056671484,"about_ca_system_score_gemma":0.000188181,"threshold_uncertainty_score":0.42285827},"labels":[],"label_agreement":null},{"id":"W4313281824","doi":"10.3390/app122412905","title":"An Approach to Improve the Resolution of DLP 3D Printing by Parallel Mechanism","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Projection (relational algebra); Process (computing); Computer vision; Artificial intelligence; Resolution (logic); Orthographic projection; Feature (linguistics); Computer graphics (images); Algorithm","score_opus":0.015022678866648223,"score_gpt":0.21623892568201947,"score_spread":0.20121624681537126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313281824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8063676,0.000044721517,0.16564663,0.00013884851,0.0001677386,0.00039391732,0.000017345375,0.00076640584,0.026456842],"genre_scores_gemma":[0.9735523,0.000001888529,0.026208803,0.00003396897,0.000015538802,0.00015332349,0.0000025389086,0.000007640137,0.000024034522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991716,0.000018143986,0.00012538779,0.00022503153,0.00024061112,0.00021918827],"domain_scores_gemma":[0.99966204,0.00004127225,0.000041437597,0.00022703382,0.000006992107,0.000021249032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819007,0.00008454865,0.00008901777,0.00006462072,0.00045153213,0.000030984877,0.00066899345,0.00002408238,0.0000099493245],"category_scores_gemma":[0.000016539596,0.00006362286,0.000018080627,0.00027820468,0.00013187705,0.00004156313,0.000245945,0.00017240824,0.0000028579084],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009470632,0.00008523687,0.00004382749,0.00003785497,0.000024169878,2.983169e-7,0.0020576725,0.4047647,0.28623995,0.24124901,0.0018318499,0.06365595],"study_design_scores_gemma":[0.00023599554,0.00024884698,0.00079558673,0.000007134668,0.000015101449,0.0000045880697,0.013192465,0.21919535,0.726704,0.03127369,0.007792466,0.00053480064],"about_ca_topic_score_codex":0.000018918663,"about_ca_topic_score_gemma":5.9091514e-7,"teacher_disagreement_score":0.44046405,"about_ca_system_score_codex":0.000024928688,"about_ca_system_score_gemma":0.000008974522,"threshold_uncertainty_score":0.34728658},"labels":[],"label_agreement":null},{"id":"W4313316768","doi":"10.3390/app13010493","title":"NextGen ADS-B Software-Defined Reception with Enhanced Techniques","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Automatic dependent surveillance-broadcast; Computer science; Software-defined radio; GNSS applications; Avionics; Key (lock); Real-time computing; Software; Air traffic control; MATLAB; Embedded system; Engineering; Electronic engineering; Telecommunications; Global Positioning System; Computer security; Aerospace engineering; Operating system","score_opus":0.007667607919547427,"score_gpt":0.18976680251482803,"score_spread":0.1820991945952806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313316768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1025328,0.00006457754,0.7217023,0.00014570884,0.00021716331,0.0006409043,0.000002987651,0.00260563,0.17208795],"genre_scores_gemma":[0.95114714,0.000018075296,0.048293684,0.000073294155,0.000026982669,0.0001990729,0.000012672177,0.000010748565,0.00021831473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999345,0.000007123915,0.00008792092,0.00016547572,0.00024292,0.00015156202],"domain_scores_gemma":[0.9998444,0.000015887696,0.00002451183,0.000088029745,0.000007654002,0.00001953315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019881784,0.00007838661,0.00006665265,0.00009262059,0.00030138151,0.000040186445,0.00019129783,0.000014519712,0.00033913317],"category_scores_gemma":[0.0000023488483,0.000069297195,0.000011189863,0.00052237086,0.000063171916,0.00010367706,0.00004319366,0.00006685323,0.000012891999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019670391,0.000024581008,0.0000914642,0.000017543045,0.00001327921,7.5696806e-7,0.0006043845,0.87397456,0.009200598,0.011485422,0.0047540283,0.09981371],"study_design_scores_gemma":[0.0028726577,0.0025804837,0.002503653,0.00008661732,0.00019254391,0.00001662618,0.012497732,0.37570605,0.2960099,0.01187852,0.2911332,0.004522022],"about_ca_topic_score_codex":0.000002210111,"about_ca_topic_score_gemma":0.0000058402425,"teacher_disagreement_score":0.84861434,"about_ca_system_score_codex":0.000034481604,"about_ca_system_score_gemma":0.000011092013,"threshold_uncertainty_score":0.37132704},"labels":[],"label_agreement":null},{"id":"W4313362615","doi":"10.3390/app13010430","title":"Effect of Ti-B Grain Refiners on Wear and Corrosion of the A332 Alloy with Sr Modification","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Universidade Federal do Paraná; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Tecnológica Federal do Paraná; Fundacion Araucaria","keywords":"Materials science; Eutectic system; Metallurgy; Grain size; Acicular; Alloy; Corrosion; Indentation hardness; Casting; Phase (matter); Microstructure","score_opus":0.0072570082692029235,"score_gpt":0.1989102572647997,"score_spread":0.19165324899559677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313362615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982614,0.00007527248,0.00003455634,0.00003616582,0.00006729606,0.00017821681,0.000003646894,0.000021958538,0.0013215101],"genre_scores_gemma":[0.9997251,0.0000051203315,0.00018594335,0.00001377165,0.0000042944303,0.000024399596,7.3323184e-7,0.000006253671,0.000034361903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994451,0.000027905662,0.000087918255,0.000119066644,0.00023572614,0.00008429724],"domain_scores_gemma":[0.99976784,0.000048063837,0.000043863332,0.0001224814,0.0000060404573,0.000011718477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035242972,0.0000678181,0.0000905617,0.000038610713,0.00013448476,0.000007976677,0.00019902263,0.000013474908,0.000007351659],"category_scores_gemma":[0.0000072667026,0.000037405705,0.000012105522,0.00024074862,0.00031318274,0.000025016268,0.000052675055,0.00007500002,5.291508e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039101407,0.0000033020788,0.0006120687,0.000032289714,0.0000026110613,5.421096e-8,0.00064824213,0.025766337,0.97046345,0.0009813634,0.00006127774,0.0013899138],"study_design_scores_gemma":[0.00031697896,0.0005677737,0.0026767196,0.000021219823,0.000015836658,0.0000046394866,0.0005264285,0.009811249,0.9854084,0.000114696006,0.0004187219,0.00011729437],"about_ca_topic_score_codex":0.000011863908,"about_ca_topic_score_gemma":0.0000045947572,"teacher_disagreement_score":0.015955089,"about_ca_system_score_codex":0.00001715582,"about_ca_system_score_gemma":0.000011708963,"threshold_uncertainty_score":0.15253603},"labels":[],"label_agreement":null},{"id":"W4313362659","doi":"10.3390/app13010485","title":"Effectiveness of a Cucumber Extract Supplement on Articular Pain in Patients with Knee Osteoarthritis: A Randomized Double-Blind Controlled Clinical Trial","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sesquiterpenes and Asteraceae Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"WOMAC; Medicine; Osteoarthritis; Placebo; Visual analogue scale; Isometric exercise; Physical therapy; Randomized controlled trial; Placebo-controlled study; Internal medicine; Double blind","score_opus":0.01889145229416463,"score_gpt":0.31006097087423756,"score_spread":0.29116951858007295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313362659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955471,0.00011169011,0.00009024828,0.000035810765,0.00015867667,0.0035276979,0.000009797533,0.0000034272462,0.0005155498],"genre_scores_gemma":[0.9979835,0.0000044559833,0.000113221555,0.00007497049,0.00004414818,0.0017234919,0.000036178535,0.000007210705,0.000012812547],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99772483,0.00075556105,0.00048240594,0.00042579428,0.0003863276,0.00022508932],"domain_scores_gemma":[0.9990949,0.00045814714,0.0002065154,0.00016677893,0.000037352464,0.000036275967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005274847,0.00014321641,0.00059044454,0.00006382187,0.00015842509,0.000022945105,0.00016181065,0.00003492255,0.00003887372],"category_scores_gemma":[0.00009889856,0.0000974173,0.00012941091,0.00018097939,0.00031513363,0.000004069129,0.00013523741,0.000091057525,8.953377e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.99056864,0.00068798196,0.004321172,0.000010075887,0.000095811854,0.0000014136863,0.00004750453,0.00039179446,0.0013059946,0.00030127435,0.000016308428,0.0022520255],"study_design_scores_gemma":[0.9860275,0.01001652,0.000859731,0.00002248598,0.00003815024,2.9426099e-7,0.00024087762,0.000031563177,0.0022305266,0.00005107023,0.00033170657,0.00014957711],"about_ca_topic_score_codex":0.00001779116,"about_ca_topic_score_gemma":0.000023476672,"teacher_disagreement_score":0.009328538,"about_ca_system_score_codex":0.000010535721,"about_ca_system_score_gemma":0.00007038457,"threshold_uncertainty_score":0.39725623},"labels":[],"label_agreement":null},{"id":"W4313404342","doi":"10.3390/app122412981","title":"A Microscopic Traffic Flow Model Characterization for Weather Conditions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Traffic flow (computer networking); Adverse weather; Snow; Meteorology; Environmental science; Microscopic traffic flow model; Weather station; Computer science; Traffic generation model; Geography; Real-time computing","score_opus":0.011604966602726691,"score_gpt":0.21199107889013266,"score_spread":0.20038611228740597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313404342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8195363,0.000048641778,0.1713953,0.0003262039,0.00047858845,0.00087330886,0.00017401208,0.00051197654,0.0066556116],"genre_scores_gemma":[0.9974436,0.0000028075372,0.0013842451,0.00013485871,0.000023888993,0.00064720545,0.000041899297,0.000007295861,0.00031417486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995567,0.0000026888085,0.00007736952,0.00012448698,0.00009718969,0.00014155533],"domain_scores_gemma":[0.9998941,0.000012161589,0.000011979901,0.00005922458,0.00000387256,0.000018684215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010189854,0.00005611819,0.000060328155,0.000055294226,0.00034867183,0.000032456417,0.00013239286,0.000008741538,0.000085627886],"category_scores_gemma":[7.4323214e-7,0.000056001943,0.00002178281,0.00014043615,0.00003288766,0.000043225475,0.000019999023,0.000032168176,0.000006119289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000155565,0.000012440973,8.438735e-7,0.0000070415776,0.00000505958,6.8701155e-8,0.00022304048,0.93598664,0.05239181,0.0048511163,0.0007053116,0.005815057],"study_design_scores_gemma":[0.00022858544,0.000017887467,0.00013963689,9.3734303e-7,0.000007972642,2.9787205e-7,0.00015179378,0.98974603,0.00019202994,0.00030373613,0.009131255,0.000079812526],"about_ca_topic_score_codex":2.524951e-7,"about_ca_topic_score_gemma":0.0000026254668,"teacher_disagreement_score":0.17790727,"about_ca_system_score_codex":0.000022493603,"about_ca_system_score_gemma":0.000013680259,"threshold_uncertainty_score":0.2681737},"labels":[],"label_agreement":null},{"id":"W4313404466","doi":"10.3390/app122412948","title":"Blockchain Technology and Artificial Intelligence Together: A Critical Review on Applications","year":2022,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Blockchain; Computer science; Novelty; Computer security; Artificial intelligence; Data science","score_opus":0.07946330032399113,"score_gpt":0.35396050293899556,"score_spread":0.27449720261500443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313404466","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.769184e-7,0.92072964,0.07013674,0.0036787442,0.00007442942,0.0016486162,0.000013230668,0.00046404955,0.0032542488],"genre_scores_gemma":[0.00008117333,0.97803277,0.014694043,0.0007602926,0.000046236164,0.0063494286,0.00000441438,0.000016667389,0.000014963745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965901,0.00011180884,0.0007407743,0.0015712015,0.00046613414,0.000519989],"domain_scores_gemma":[0.99721915,0.0009558076,0.00029401795,0.001385643,0.00003552031,0.00010986155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001504206,0.00042541782,0.0010707583,0.0009429758,0.001242386,0.0001282815,0.0038244105,0.00036122222,0.00007160624],"category_scores_gemma":[0.00014793115,0.0003538206,0.00014857198,0.0059263296,0.001770142,0.00004179019,0.0012924325,0.0010084489,0.00013721315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.648886e-8,0.00004233484,1.853553e-8,0.00084833876,0.0000047140315,0.0000010978642,0.00000842333,3.7939583e-7,1.428415e-7,0.5009214,0.000052506497,0.49812052],"study_design_scores_gemma":[0.0000066687708,0.00006744962,1.0867138e-8,0.000877875,0.000056365247,0.000065978464,0.000033621865,0.00016082838,0.0000075004564,0.23091805,0.767507,0.00029863385],"about_ca_topic_score_codex":0.0000019179513,"about_ca_topic_score_gemma":0.000002075779,"teacher_disagreement_score":0.7674545,"about_ca_system_score_codex":0.00006642993,"about_ca_system_score_gemma":0.00029969247,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null},{"id":"W4313414456","doi":"10.3390/app13010195","title":"The Importance of Context Awareness in Acoustics-Based Automated Beehive Monitoring","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beehive; Context (archaeology); Spectrogram; Noise (video); Computer science; Environmental science; Geography; Speech recognition; Artificial intelligence; Ecology; Biology","score_opus":0.0521854446020567,"score_gpt":0.25459891877214075,"score_spread":0.20241347417008404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313414456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833333,0.0003534349,5.003964e-7,0.0003545882,0.0000549354,0.00010088828,0.000022751048,0.000048050322,0.0007315064],"genre_scores_gemma":[0.999813,0.000015509346,0.000021005586,0.000054879074,0.000031052892,0.00004838249,0.0000017225598,2.5398415e-7,0.000014201287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916893,0.0000264381,0.00015593783,0.00017101517,0.00027279728,0.00020487909],"domain_scores_gemma":[0.9994217,0.00043712193,0.00009395465,0.000013103175,0.000015359674,0.000018760787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046839018,0.000065492095,0.000107260465,0.000008876868,0.0010972129,0.000028590264,0.00039179254,0.000012680755,0.000021510004],"category_scores_gemma":[0.0000201926,0.000021863778,0.000024175486,0.00053019274,0.00023397645,0.000024870345,0.00011363613,0.00006835682,0.0000014334879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003684217,0.000045633635,0.5952129,0.000002614944,0.000003957879,0.0000032828136,0.00014409257,0.0011004565,0.39407134,0.0011712469,0.00021731769,0.0079903575],"study_design_scores_gemma":[0.000095524185,0.00012691501,0.98185456,0.0000067568453,0.0000027970511,7.4804666e-7,0.008309975,0.0031276054,0.00506393,0.00035437627,0.00094948005,0.00010730729],"about_ca_topic_score_codex":0.00015491345,"about_ca_topic_score_gemma":0.00084123935,"teacher_disagreement_score":0.3890074,"about_ca_system_score_codex":0.000017584201,"about_ca_system_score_gemma":0.000019543706,"threshold_uncertainty_score":0.84389853},"labels":[],"label_agreement":null},{"id":"W4313889315","doi":"10.3390/app13020831","title":"An Enhanced and Secure Trust-Aware Improved GSO for Encrypted Data Sharing in the Internet of Things","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Data aggregator; Computer network; Network packet; Encryption; Wireless sensor network; Energy consumption; Cuckoo search; Computer security","score_opus":0.05206971307375839,"score_gpt":0.3086295103452036,"score_spread":0.2565597972714452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.811138,0.000026432484,0.18592443,0.00039631073,0.00080643705,0.0003973836,9.926104e-7,0.0001245921,0.0011854358],"genre_scores_gemma":[0.9871581,0.000002885132,0.0124651315,0.00020872422,0.00012199301,0.000018485285,0.000008573258,0.0000037523644,0.000012361272],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986047,0.00002033331,0.00021174629,0.00064302416,0.00021155273,0.00030863387],"domain_scores_gemma":[0.9990066,0.00024210439,0.000097012875,0.00059704215,0.000023365576,0.000033835106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022558863,0.000098874814,0.00013535714,0.00013276198,0.00019533322,0.00029105748,0.0039266525,0.00004013449,5.9973036e-7],"category_scores_gemma":[0.000046376426,0.00006834262,0.000015246664,0.0009957877,0.00015831104,0.000666838,0.00093051785,0.000100216435,0.0000021003875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006484826,0.00020438664,0.0061437557,0.00031801825,0.000040863542,0.000008741414,0.2091837,0.0002719369,0.21988308,0.1355455,0.0056010582,0.4227341],"study_design_scores_gemma":[0.00022276645,0.00008580808,0.0018143702,0.00002362458,0.000002733367,0.0000015465479,0.0012018622,0.9787272,0.0074759843,0.010065898,0.00025076693,0.00012742187],"about_ca_topic_score_codex":0.00007393511,"about_ca_topic_score_gemma":0.000013073204,"teacher_disagreement_score":0.9784553,"about_ca_system_score_codex":0.0000064861133,"about_ca_system_score_gemma":0.00004864212,"threshold_uncertainty_score":0.72967625},"labels":[],"label_agreement":null},{"id":"W4315647222","doi":"10.3390/app13020984","title":"Applied Sciences—Special Issue on Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Visualization; Medical imaging; Medical physics; Medicine; Computer science; Data science; Artificial intelligence","score_opus":0.03475383920431621,"score_gpt":0.32821699029337537,"score_spread":0.2934631510890592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315647222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88523525,0.008558336,0.03178294,0.0035291933,0.00074996875,0.0051100557,0.000021350672,0.00090781465,0.06410511],"genre_scores_gemma":[0.99198765,0.0026630366,0.0034660636,0.0005544133,0.00088395306,0.00040504168,0.00000795612,0.00001746435,0.000014430533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985705,0.000015077423,0.00017663123,0.00052247255,0.00040746102,0.00030783645],"domain_scores_gemma":[0.9994332,0.0003091287,0.000040542214,0.00012364064,0.000030324305,0.0000631452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014766346,0.0001403732,0.00027802834,0.00043272178,0.00038062374,0.00012228011,0.000082624894,0.000039960385,0.000004463041],"category_scores_gemma":[0.000068453635,0.00011996483,0.00006901033,0.0009274964,0.0004763769,0.000078244055,0.00004362216,0.000071107344,0.0000037970979],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016595189,0.00019700087,0.104830295,0.00020733336,0.000108000975,0.000020287047,0.0048101577,0.023040196,0.002286636,0.04665901,0.008684057,0.8089911],"study_design_scores_gemma":[0.011854415,0.0015072275,0.0305319,0.0012504404,0.0006189585,0.00006263979,0.01596045,0.30525094,0.19980212,0.055472802,0.37455866,0.0031294823],"about_ca_topic_score_codex":0.000041409792,"about_ca_topic_score_gemma":0.000002378227,"teacher_disagreement_score":0.8058616,"about_ca_system_score_codex":0.000020201152,"about_ca_system_score_gemma":0.000052004372,"threshold_uncertainty_score":0.48920238},"labels":[],"label_agreement":null},{"id":"W4315781033","doi":"10.3390/app13021034","title":"Multi-Range Sequential Learning Based Dark Image Enhancement with Color Upgradation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Pattern recognition (psychology); Kernel (algebra); Residual; Computer vision; Algorithm; Mathematics","score_opus":0.02785724476311708,"score_gpt":0.2849439010123938,"score_spread":0.25708665624927673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315781033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048232347,0.000007592254,0.9443555,0.0005819568,0.00012902259,0.0004643795,8.548184e-7,0.001082192,0.005146156],"genre_scores_gemma":[0.6596734,0.00000470581,0.3395563,0.00020486642,0.000023762634,0.00018461188,0.000007822116,0.000007633624,0.000336906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978431,0.000057790206,0.00020903959,0.0006610013,0.000747962,0.0004811045],"domain_scores_gemma":[0.99932396,0.0000885907,0.00014303571,0.00031212065,0.00006832915,0.00006398843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012043712,0.00017352101,0.00014535738,0.00026499352,0.0006051681,0.00043268333,0.0010321506,0.000037362068,0.000035157616],"category_scores_gemma":[0.00002819634,0.00014131117,0.000029763607,0.0018216171,0.00033900677,0.00070263265,0.0002294639,0.00013677118,0.00024240006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025040557,0.00014137593,0.0005399738,0.00003750206,0.000015571177,0.000031230957,0.0010466354,0.0016902556,0.9646116,0.0103480425,0.0030450032,0.018467786],"study_design_scores_gemma":[0.00071552047,0.00042240202,0.0013290256,0.00003853878,0.000008997839,0.00000217718,0.00020840239,0.3235149,0.6707005,0.0004820833,0.0021255736,0.0004518903],"about_ca_topic_score_codex":0.00002427357,"about_ca_topic_score_gemma":0.00001715562,"teacher_disagreement_score":0.611441,"about_ca_system_score_codex":0.00006181279,"about_ca_system_score_gemma":0.0001601402,"threshold_uncertainty_score":0.57625026},"labels":[],"label_agreement":null},{"id":"W4315781851","doi":"10.3390/app13021001","title":"Reliability of Scores Computed by a Commercial Virtual Reality System and Association with Indices of Cognitive Performance in Male Elite Rugby Players","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stroop effect; Psychology; Repeatability; Cognition; Audiology; Medicine; Mathematics; Statistics","score_opus":0.018714679182911087,"score_gpt":0.2683107432778981,"score_spread":0.24959606409498702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315781851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973581,0.000018996427,0.000010834522,0.000032526023,0.00002645511,0.00027058882,0.000020494947,0.000026886308,0.0022351383],"genre_scores_gemma":[0.9998051,0.000034443965,0.000053662377,0.000029899324,0.000014145675,0.000015363876,0.00003045343,0.0000032707733,0.000013652873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890655,0.000012173465,0.00027439222,0.00020586523,0.0004257758,0.00017521116],"domain_scores_gemma":[0.9994089,0.00018243887,0.00024143205,0.00006592438,0.00006441723,0.000036901194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013933947,0.00007820175,0.0002765046,0.00014388254,0.00008950817,0.000008437377,0.0000630297,0.000053804433,0.0000029983353],"category_scores_gemma":[0.00002849593,0.00005830543,0.0000135606515,0.0008029261,0.0003949901,0.00012603763,0.000027705255,0.00010293883,0.0000014018281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022665995,0.000038068432,0.9940281,0.00019283003,0.000011499416,0.0000012281404,0.0025606202,0.000108689426,0.00044582912,0.00013114467,0.000027954604,0.0022273604],"study_design_scores_gemma":[0.0010043974,0.00032156208,0.9845817,0.0005250143,0.000024030556,0.0000027810534,0.0067362776,0.0038999626,0.0028331173,0.000003009282,0.0000058080586,0.00006231791],"about_ca_topic_score_codex":0.00017751772,"about_ca_topic_score_gemma":0.000048893515,"teacher_disagreement_score":0.009446394,"about_ca_system_score_codex":0.00003807675,"about_ca_system_score_gemma":0.00009654136,"threshold_uncertainty_score":0.23776264},"labels":[],"label_agreement":null},{"id":"W4316371959","doi":"10.3390/app13021148","title":"A Simple Method to Convert Cellular Polymers into Auxetic Metamaterials","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Auxetics; Materials science; Composite material; Ultimate tensile strength; Low-density polyethylene; Compressive strength; Compression (physics); Modulus; Poisson's ratio; Young's modulus; Polyethylene; Poisson distribution","score_opus":0.011485237103004843,"score_gpt":0.25963302468190586,"score_spread":0.24814778757890102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316371959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948199,0.00016496495,0.034619767,0.00013247032,0.00058483204,0.00028305617,0.0000062288186,0.0007562912,0.015253389],"genre_scores_gemma":[0.99394846,0.000003975772,0.0056906636,0.0001419112,0.000068612964,0.000033418502,0.000007825981,0.000015471935,0.00008965216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989875,0.00002144688,0.00016119241,0.00025537185,0.00024552963,0.00032898565],"domain_scores_gemma":[0.99964345,0.00006301078,0.000014368485,0.0001651434,0.000007523314,0.00010649121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004143747,0.00013531292,0.00018407576,0.00018112801,0.00017722807,0.0001105073,0.00035387455,0.000038726565,0.00030805968],"category_scores_gemma":[0.000005176523,0.000116654046,0.00004262014,0.00090415584,0.000073003626,0.00004668209,0.00008410766,0.00004557679,0.0003654444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023896798,0.0000013590576,0.000013406662,0.00001681124,0.000013256536,0.0000027854696,0.0006578463,0.010180327,0.97999036,0.003001994,0.00078857556,0.0053308937],"study_design_scores_gemma":[0.00008656574,0.000020771402,0.0001880105,0.0000028524728,0.00001452123,0.000001451052,0.00049424724,0.008638445,0.97348607,0.005477781,0.011375615,0.0002136751],"about_ca_topic_score_codex":0.00008090585,"about_ca_topic_score_gemma":0.000008851019,"teacher_disagreement_score":0.04574947,"about_ca_system_score_codex":0.000016159844,"about_ca_system_score_gemma":0.000016382923,"threshold_uncertainty_score":0.4757014},"labels":[],"label_agreement":null},{"id":"W4316372019","doi":"10.3390/app13021132","title":"Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"State of health; Battery (electricity); State of charge; Kalman filter; Dual (grammatical number); Lithium-ion battery; Computer science; Extended Kalman filter; Control theory (sociology); Engineering; Algorithm; Power (physics); Artificial intelligence; Control (management)","score_opus":0.08706181919739604,"score_gpt":0.3551650182606046,"score_spread":0.26810319906320856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316372019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28748494,0.000026094798,0.71116066,0.000107205124,0.00007640009,0.00029255662,0.000007211103,0.00073732046,0.00010760683],"genre_scores_gemma":[0.7868541,0.00001505408,0.21293925,0.00003723398,0.00003999771,0.00007727443,0.00000913666,0.000019461011,0.0000084991625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865305,0.000013195279,0.00020274137,0.00031355507,0.0002769081,0.00054054434],"domain_scores_gemma":[0.9994991,0.00022333815,0.0000534243,0.00014035945,0.00002941527,0.0000543783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006164532,0.00012506552,0.00014456194,0.00040275767,0.00039217586,0.00008655913,0.00025582008,0.00005660404,0.0000014346911],"category_scores_gemma":[0.000044066797,0.000121443496,0.000021163994,0.0011421118,0.00009389772,0.0004974186,0.00007498134,0.00018892331,0.000011779855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025439854,0.000006037389,0.0000029066773,0.000012952164,0.000003092404,4.15469e-7,0.00015753874,0.6814455,0.045135487,0.0002473994,0.00008812195,0.27289805],"study_design_scores_gemma":[0.00008415854,0.00009913127,0.000024548264,0.000017993065,0.0000015230526,0.0000028164488,0.0008561188,0.95759875,0.0360784,0.005099599,0.000010007966,0.00012693503],"about_ca_topic_score_codex":0.000009740765,"about_ca_topic_score_gemma":0.0000040993627,"teacher_disagreement_score":0.49936914,"about_ca_system_score_codex":0.0001715514,"about_ca_system_score_gemma":0.00007316511,"threshold_uncertainty_score":0.4952322},"labels":[],"label_agreement":null},{"id":"W4316372039","doi":"10.3390/app13021157","title":"Hydrothermal Reservoir and Electrical Anisotropy Investigated by Magnetotelluric Data, Case Study of Asal Rift, Republic of Djibouti","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Magnetotellurics; Geology; Rift; Anisotropy; Tectonics; Geophysics; Petrology; Hydrothermal circulation; Electrical resistivity and conductivity; Seismology","score_opus":0.053146628149848274,"score_gpt":0.28611673557917594,"score_spread":0.23297010742932767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316372039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833304,0.00021885289,0.000033376433,0.00010661469,0.00004348892,0.00029219233,0.000052497202,0.0000516279,0.00086832896],"genre_scores_gemma":[0.99870837,0.000020360641,0.0010617046,0.000051176048,0.00003044213,0.000002550378,0.000032027005,0.0000030430915,0.00009030057],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99782276,0.00021126251,0.00037244867,0.0005956638,0.0005597224,0.00043811812],"domain_scores_gemma":[0.99860436,0.00067148724,0.00014692823,0.0003526179,0.00003174751,0.00019288278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013150969,0.00014912902,0.0003199063,0.00019375297,0.00025265856,0.000051562933,0.0006590162,0.00006393474,0.0001373128],"category_scores_gemma":[0.00018927103,0.00010744463,0.000022125072,0.0035828063,0.00062861555,0.0001990287,0.000109366876,0.00017115181,0.000023736384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030070796,0.0011072888,0.38203502,0.00015343662,0.0001301376,0.0005866632,0.0025552977,0.0029652107,0.01804802,0.001976801,0.004983028,0.58515835],"study_design_scores_gemma":[0.0023376264,0.009290379,0.6214435,0.000016309432,0.00013150029,0.0002837711,0.004420213,0.33071104,0.011475129,0.01737758,0.0015336047,0.0009793214],"about_ca_topic_score_codex":0.0075716833,"about_ca_topic_score_gemma":0.00041965858,"teacher_disagreement_score":0.58417904,"about_ca_system_score_codex":0.000001465475,"about_ca_system_score_gemma":0.0000807438,"threshold_uncertainty_score":0.99903697},"labels":[],"label_agreement":null},{"id":"W4316372938","doi":"10.3390/app13021096","title":"Privacy-Preserving E-Voting System Supporting Score Voting Using Blockchain","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"University of Tabuk","keywords":"Voting; Computer science; Blockchain; Computer security; Database transaction; Scheme (mathematics); Encryption; Mathematics; Database; Political science; Law","score_opus":0.040462177784370654,"score_gpt":0.28529138260296605,"score_spread":0.24482920481859538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316372938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8061915,0.00004170433,0.18773827,0.0007993608,0.00019092388,0.00035505748,0.0000013115597,0.002132976,0.0025489172],"genre_scores_gemma":[0.9497179,8.5285484e-7,0.050014313,0.00008463463,0.00008760097,0.000057737183,0.0000011396855,0.000013159009,0.000022656246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996951,0.000050347942,0.00053776486,0.0009731238,0.0005610375,0.0009267301],"domain_scores_gemma":[0.99849856,0.0002606181,0.00037048114,0.0006909265,0.00006805125,0.00011135214],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003342903,0.00022027554,0.00026956337,0.00046052027,0.0019885527,0.00035469068,0.0034396239,0.00014573662,0.0000050901194],"category_scores_gemma":[0.00015206043,0.00020793904,0.0000674926,0.00426186,0.00032020462,0.00020086227,0.0022240174,0.00029894226,0.00007632003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.360342e-7,0.000018410732,0.0043014926,0.00007064285,0.000010169622,0.000015010353,0.0010898018,0.006194762,0.014293398,0.96522546,0.0001350129,0.00864512],"study_design_scores_gemma":[0.00010947937,0.000014116157,0.00052337744,0.000066161614,0.0000056105046,0.000033209835,0.0015511671,0.98652184,0.006707509,0.0040824884,0.000113558206,0.00027147052],"about_ca_topic_score_codex":0.000056849218,"about_ca_topic_score_gemma":0.000011959388,"teacher_disagreement_score":0.98032707,"about_ca_system_score_codex":0.000073502924,"about_ca_system_score_gemma":0.00013837648,"threshold_uncertainty_score":0.99931073},"labels":[],"label_agreement":null},{"id":"W4316673347","doi":"10.3390/app13021216","title":"Experimental and Modeling Investigation for Slugging Pressure under Zero Net Liquid Flow in Underwater Compressed Gas Energy Storage Systems","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Slugging; Slug flow; Compressed air energy storage; Underwater; Flow (mathematics); Petroleum engineering; Energy storage; Environmental science; Pipeline transport; Pipeline (software); Marine engineering; Mechanics; Materials science; Geology; Two-phase flow; Engineering; Mechanical engineering; Physics; Environmental engineering","score_opus":0.03369900250450891,"score_gpt":0.24379523373164771,"score_spread":0.2100962312271388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316673347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764493,0.0003337465,0.020519998,0.00015626702,0.00016227728,0.0003346676,0.0000038691232,0.00006927617,0.0019705733],"genre_scores_gemma":[0.99881375,0.000016143229,0.00069151353,0.00011897754,0.000024880192,0.00011464454,0.000014474807,0.00001129035,0.00019434979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872714,0.000041397027,0.00020412458,0.00042704365,0.00026777684,0.00033250306],"domain_scores_gemma":[0.99968547,0.00006802892,0.000053680673,0.00010334009,0.0000031509642,0.00008630373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005343663,0.00013043651,0.0001446955,0.000081311315,0.00029079808,0.00010142214,0.00018660219,0.000069390604,0.000037139424],"category_scores_gemma":[0.0000028704183,0.00010360895,0.000017056,0.00039261903,0.0002598047,0.0001891417,0.00014453674,0.00006556366,0.000014370262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013620144,0.0000088759625,0.000063463136,0.000009368417,0.000004201843,4.958504e-7,0.000860962,0.8478728,0.14887916,0.0021256786,0.00011426173,0.00004712564],"study_design_scores_gemma":[0.0002982933,0.000060275728,0.000028782346,0.00001829104,0.0000060359994,0.0000011391215,0.0011466163,0.9817199,0.0124911675,0.0037574624,0.00031777285,0.00015426987],"about_ca_topic_score_codex":0.0004123823,"about_ca_topic_score_gemma":0.000017957196,"teacher_disagreement_score":0.13638799,"about_ca_system_score_codex":0.00003763626,"about_ca_system_score_gemma":0.000013276326,"threshold_uncertainty_score":0.42250505},"labels":[],"label_agreement":null},{"id":"W4316690591","doi":"10.3390/app13031231","title":"Changes in Joint Power and Energetics during a Sport-Specific Jumping Fatigue Protocol","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Jumping; Ankle; Kinematics; Biomechanics; Physical medicine and rehabilitation; Knee Joint; Squat; Joint (building); Jump; Medicine; Orthodontics; Physical therapy; Anatomy; Structural engineering; Physics; Surgery; Engineering","score_opus":0.06980362328483103,"score_gpt":0.31794409788290995,"score_spread":0.24814047459807892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316690591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98657024,0.000010195008,0.0000016426451,0.0003276822,0.000042728945,0.0063146683,2.3708652e-7,0.00007724499,0.006655369],"genre_scores_gemma":[0.9923087,0.000026020889,0.0002982206,0.000102828984,0.00006470014,0.007095072,0.0000016347577,0.000007630816,0.00009522674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990039,0.0000011308733,0.00016643052,0.00027616767,0.00025437094,0.00029799878],"domain_scores_gemma":[0.99977076,0.0000066333014,0.00004956822,0.00010072045,0.000010940983,0.000061371735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044104914,0.00009167768,0.00016567014,0.000312106,0.00014712021,0.000030117351,0.00005762292,0.000036463563,0.000043446893],"category_scores_gemma":[0.0000033784913,0.000071647366,0.000014402839,0.0007625065,0.0001852729,0.00006156726,0.00004646829,0.00009655245,0.000013622112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012028361,0.00008090081,0.89747393,0.00030114502,0.0000121625735,0.00023906205,0.008835712,0.00019513971,0.07667028,0.005670803,0.00016760478,0.010232969],"study_design_scores_gemma":[0.0009712741,0.000099399185,0.9636685,0.00018357253,0.000003381217,0.000021474927,0.0038199928,0.0003088237,0.0273924,0.00013632825,0.0032444366,0.00015037732],"about_ca_topic_score_codex":0.000005961195,"about_ca_topic_score_gemma":0.000024792833,"teacher_disagreement_score":0.0661946,"about_ca_system_score_codex":0.000014959829,"about_ca_system_score_gemma":0.000037997608,"threshold_uncertainty_score":0.29216948},"labels":[],"label_agreement":null},{"id":"W4317207036","doi":"10.3390/app13031252","title":"Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Conestoga College","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Transparency (behavior); Computer security; Scope (computer science); Intrusion detection system; Internet of Things","score_opus":0.10063672507511486,"score_gpt":0.36797133523422526,"score_spread":0.2673346101591104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317207036","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007942452,0.5917506,0.40574735,0.00010139847,0.0003418393,0.0017836059,0.0000017565675,0.00015628134,0.00010921277],"genre_scores_gemma":[0.00042899066,0.9861623,0.012358058,0.00008309285,0.00011458428,0.00079855823,0.000010252747,0.00002420368,0.000019935344],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968473,0.0002140932,0.0009414903,0.0011054042,0.00042330424,0.00046845136],"domain_scores_gemma":[0.9976005,0.0013523073,0.00053739606,0.0003581025,0.000067577006,0.000084139756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032609336,0.00035641922,0.00097088376,0.0005303922,0.00048119095,0.0002821801,0.0011775858,0.00020217015,0.0000057797497],"category_scores_gemma":[0.000871764,0.00030275722,0.00012712774,0.002846842,0.0002625552,0.00028841835,0.00052929675,0.00041853642,0.000048728518],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019458687,0.000011163348,2.551006e-7,0.00873032,0.000006595203,0.0000021633498,0.00015328404,0.00024800128,0.0000051225506,0.042898696,0.000011100045,0.94793135],"study_design_scores_gemma":[0.00024483824,0.00060020323,0.000005890858,0.13236213,0.00044504288,0.00008113662,0.0012258765,0.29155672,0.0005112738,0.19189051,0.3781115,0.0029648715],"about_ca_topic_score_codex":0.00003112162,"about_ca_topic_score_gemma":0.000083884544,"teacher_disagreement_score":0.9449665,"about_ca_system_score_codex":0.00016063878,"about_ca_system_score_gemma":0.00025627986,"threshold_uncertainty_score":0.9999425},"labels":[],"label_agreement":null},{"id":"W4317394338","doi":"10.3390/app13031245","title":"Dual-Path Adversarial Generation Network for Super-Resolution Reconstruction of Remote Sensing Images","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Department of Science and Technology of Jilin Province; Education Department of Jilin Province","keywords":"Computer science; Discriminator; Artificial intelligence; Feature (linguistics); Computer vision; Remote sensing; Pattern recognition (psychology); Geography; Telecommunications","score_opus":0.03597837892627352,"score_gpt":0.28840280016439174,"score_spread":0.2524244212381182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317394338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008030867,0.000049300914,0.9896488,0.0003399047,0.0005857911,0.00026425163,0.0000024325718,0.0004919844,0.0005866671],"genre_scores_gemma":[0.18515673,0.000016174514,0.8145144,0.000045286422,0.00023020066,0.000003837861,0.000005046484,0.000005478331,0.000022829423],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986718,0.0000273429,0.00025682538,0.00045281457,0.00027899773,0.00031216632],"domain_scores_gemma":[0.9993438,0.00010596217,0.00017826051,0.00022751465,0.00011739878,0.000027062217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010985661,0.00010673327,0.00014253812,0.00014896042,0.0005966862,0.00013086849,0.00032656844,0.00005473458,8.58743e-7],"category_scores_gemma":[0.000098309974,0.000101651465,0.00003900204,0.0012261054,0.000286918,0.0006809241,0.00013432889,0.000060952563,0.0000042875813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073666615,0.000004160949,0.000008349775,0.000016528298,0.0000037115205,8.2773494e-7,0.00025581522,0.0034090572,0.33785382,0.012573794,0.0022098175,0.6436568],"study_design_scores_gemma":[0.00013210328,0.000051214287,0.00003354298,0.000025480047,0.000004299588,0.000011140652,0.000052654337,0.8268208,0.09121953,0.0811471,0.00038558367,0.00011659291],"about_ca_topic_score_codex":0.000017887052,"about_ca_topic_score_gemma":0.0000051088414,"teacher_disagreement_score":0.8234117,"about_ca_system_score_codex":0.000032906366,"about_ca_system_score_gemma":0.00010666806,"threshold_uncertainty_score":0.45892882},"labels":[],"label_agreement":null},{"id":"W4317423622","doi":"10.3390/app13031306","title":"A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Point cloud; Computer vision; Computer science; Artificial intelligence; Point (geometry); Laser scanning; Computer graphics (images); Mathematics; Geometry; Laser; Optics","score_opus":0.07422790755701382,"score_gpt":0.3031280085180515,"score_spread":0.2289001009610377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317423622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73955923,0.00027152378,0.21123968,0.0024177742,0.0013653171,0.0031320618,0.00038136507,0.0007628412,0.040870197],"genre_scores_gemma":[0.8931212,0.000005173825,0.10565585,0.0001984683,0.00016657423,0.000065311884,0.00028776698,0.0000038028718,0.0004958612],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985361,0.000051163843,0.00023368835,0.0004692519,0.00027172905,0.00043805604],"domain_scores_gemma":[0.9989295,0.00068561983,0.00011330155,0.00012095557,0.000053377942,0.00009724957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024142521,0.00013721261,0.00017302131,0.000073494,0.00082012283,0.00022286497,0.00033074198,0.00006807264,0.00008952758],"category_scores_gemma":[0.00017261505,0.00010080954,0.000058665748,0.0006602175,0.00014558283,0.00021626928,0.000012416901,0.00007837579,0.00009077671],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006875486,0.00011493848,0.015238916,0.0005571306,0.0000618845,0.00000879895,0.014422023,0.035615917,0.08228777,0.024887774,0.034561165,0.7915561],"study_design_scores_gemma":[0.0026334883,0.0025381257,0.02942253,0.00023731426,0.00007047709,0.000026000085,0.028291397,0.47659403,0.04399577,0.22525458,0.18857662,0.002359662],"about_ca_topic_score_codex":0.00036632246,"about_ca_topic_score_gemma":0.0020303705,"teacher_disagreement_score":0.7891965,"about_ca_system_score_codex":0.0000071037102,"about_ca_system_score_gemma":0.00007367507,"threshold_uncertainty_score":0.63078046},"labels":[],"label_agreement":null},{"id":"W4317433955","doi":"10.3390/app13031339","title":"The Interaction of Methyl Formate with Proton-Bound Solvent Clusters in the Gas Phase and the Unimolecular Chemistry of the Reaction Products","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Methyl formate; Solvent; Formate; Dissociation (chemistry); Protonation; Fragmentation (computing); Proton; Methanol; Ion; Molecule; Solvent effects; Computational chemistry; Photochemistry; Physical chemistry; Organic chemistry; Catalysis","score_opus":0.012525358512571156,"score_gpt":0.277461963639097,"score_spread":0.26493660512652584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317433955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99327415,0.000018300481,0.00008788588,0.0012638324,0.0000221831,0.0006126984,0.000001933688,0.000004211141,0.004714802],"genre_scores_gemma":[0.9997337,0.000007626886,0.00002140387,0.000014144888,0.000024596524,0.00018281107,0.0000014184659,0.0000026844873,0.000011656368],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993974,0.000024622987,0.00013083182,0.00012242899,0.00020605477,0.00011863981],"domain_scores_gemma":[0.9994292,0.00018739211,0.00017602804,0.00017155064,0.000029204599,0.0000066078014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047028332,0.000067907014,0.000086132,0.000007899035,0.00029817448,0.000025066656,0.00024197824,0.0000066965576,4.394538e-7],"category_scores_gemma":[0.000010760559,0.000024583082,0.000022821669,0.0004502282,0.000984622,0.00006859327,0.000084753476,0.0001069054,2.9296746e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023945524,0.000112406706,0.00029071613,0.00007307048,0.00006412929,9.652727e-8,0.005180582,0.0012948065,0.9633681,0.022609139,0.000078172096,0.006689321],"study_design_scores_gemma":[0.00062785635,0.00002102369,0.00006365731,0.000025558893,0.00001930285,3.6561812e-7,0.017238092,0.0005027982,0.9426269,0.03835238,0.00046922584,0.00005286802],"about_ca_topic_score_codex":0.000030111525,"about_ca_topic_score_gemma":0.0000023346793,"teacher_disagreement_score":0.020741234,"about_ca_system_score_codex":0.000007910728,"about_ca_system_score_gemma":0.000025814945,"threshold_uncertainty_score":0.3627881},"labels":[],"label_agreement":null},{"id":"W4317509339","doi":"10.3390/app13031294","title":"Validation of a Horizontally Dynamic Armrest for Joystick Controlled Mobile Equipment","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Joystick; Electromyography; Work (physics); Physical medicine and rehabilitation; Simulation; Medicine; Engineering; Mechanical engineering","score_opus":0.021167981445450953,"score_gpt":0.3335867272261434,"score_spread":0.31241874578069245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317509339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682289,0.000053822692,0.0011274875,0.0001183889,0.00045897672,0.0011806691,0.00001598179,0.00005075912,0.028765017],"genre_scores_gemma":[0.9979734,0.000011237096,0.0003544601,0.000038756752,0.000020173828,0.0010876097,0.000022865675,0.000008205896,0.00048332228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990538,0.000016427073,0.000253798,0.0002821721,0.0001380981,0.0002557176],"domain_scores_gemma":[0.9994422,0.00023232581,0.00012758422,0.00013657525,0.000024845944,0.000036467056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068794965,0.0000869857,0.00020593703,0.00013118521,0.000121083394,0.000023735704,0.00023090471,0.00004330882,0.000087839704],"category_scores_gemma":[0.000022495975,0.00007242164,0.0000891544,0.0003204983,0.00019041443,0.000032545217,0.00003498223,0.000031337157,0.000114977025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012453464,0.0005826527,0.0009511687,0.00013294432,0.00029024816,0.0000017212682,0.0038542834,0.007635462,0.267653,0.6568132,0.0038108802,0.057029095],"study_design_scores_gemma":[0.11479949,0.019468775,0.19389756,0.00023637823,0.0010775173,0.000011298689,0.12586926,0.075436614,0.031014973,0.401795,0.031096993,0.005296137],"about_ca_topic_score_codex":0.000037655784,"about_ca_topic_score_gemma":0.00003206982,"teacher_disagreement_score":0.2550182,"about_ca_system_score_codex":0.00001525925,"about_ca_system_score_gemma":0.000046864432,"threshold_uncertainty_score":0.29532686},"labels":[],"label_agreement":null},{"id":"W4317509872","doi":"10.3390/app13031287","title":"Blockchain-Based Internet of Medical Things","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Blockchain; Internet of Things; Computer science; Data science; Scalability; The Internet; Wearable computer; Thematic analysis; Open research; Health care; Internet privacy; World Wide Web; Computer security; Knowledge management; Qualitative research; Political science","score_opus":0.01876219983333288,"score_gpt":0.26696038795367616,"score_spread":0.24819818812034328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317509872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6705224,0.00006487011,0.29287294,0.024566226,0.00019999754,0.00026255214,0.000001209129,0.0012739182,0.010235892],"genre_scores_gemma":[0.98846054,0.0000030623326,0.010684352,0.00075436995,0.000012508466,0.000044920358,5.769844e-7,0.000002752433,0.000036898346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835265,0.000017160475,0.00021602029,0.00039203023,0.00076130533,0.0002608636],"domain_scores_gemma":[0.99920374,0.0002058995,0.000088850546,0.0004008123,0.000029605611,0.00007108672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001730959,0.00008513442,0.00013654014,0.00026275503,0.0001477212,0.000039291328,0.002903444,0.00013090178,0.00003843496],"category_scores_gemma":[0.000054326418,0.000069663474,0.00003700924,0.0021998978,0.0007210452,0.00002870311,0.0004487033,0.00015679939,0.0000998575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.10135e-7,0.000030275949,0.00016498084,0.0000059599606,0.00000288858,0.0000021199546,0.00039917888,0.00007955399,0.0005515981,0.979817,0.0012157748,0.017730113],"study_design_scores_gemma":[0.00022643876,0.000059028072,0.00048280467,0.00001695672,0.0000023554012,0.0000042221523,0.00015292429,0.8752461,0.03313029,0.08661203,0.0039020823,0.0001647612],"about_ca_topic_score_codex":0.000043674278,"about_ca_topic_score_gemma":0.000006875808,"teacher_disagreement_score":0.8932049,"about_ca_system_score_codex":0.000007902722,"about_ca_system_score_gemma":0.00015145664,"threshold_uncertainty_score":0.53953695},"labels":[],"label_agreement":null},{"id":"W4317509923","doi":"10.3390/app13031291","title":"Multiscale Analysis for Improving Texture Classification","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Computer science; Pyramid (geometry); Texture (cosmology); Image texture; Image (mathematics); Gaussian; Feature (linguistics); Feature vector; Computer vision; Mathematics; Image processing","score_opus":0.021855073336395903,"score_gpt":0.30414142043647674,"score_spread":0.2822863471000808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317509923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67903864,0.0001114342,0.30651745,0.00033719104,0.000029350756,0.0005271187,0.000011028538,0.0001894264,0.013238331],"genre_scores_gemma":[0.9945577,0.000015042747,0.004065398,0.00010098265,0.00006297607,0.00011038062,0.00013982278,0.000005421045,0.0009422925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921626,0.000008623501,0.000113755304,0.00037853114,0.000113855975,0.0001689681],"domain_scores_gemma":[0.9996307,0.000018510878,0.00006368477,0.00022151228,0.000037154347,0.0000284507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044275363,0.000069124806,0.00009085563,0.00015787131,0.00017913592,0.000050376915,0.00023604036,0.00006282823,0.0000066271973],"category_scores_gemma":[0.000044473145,0.000059352762,0.00010291067,0.0010545629,0.00012914336,0.0000033002275,0.00006223063,0.000025025405,0.000013879331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003676564,0.00000844379,0.0019385274,0.000003856792,0.000038426653,8.457823e-8,0.000019027717,0.00013882719,0.9828082,0.00026264924,0.0026867408,0.012091577],"study_design_scores_gemma":[0.00017166574,0.00008231001,0.016858231,0.0000011024132,0.00024161152,4.1284392e-7,0.00045308072,0.056013387,0.9099814,0.00054180925,0.015393806,0.00026116494],"about_ca_topic_score_codex":0.000009689809,"about_ca_topic_score_gemma":0.000065846514,"teacher_disagreement_score":0.315519,"about_ca_system_score_codex":0.0000050798017,"about_ca_system_score_gemma":0.000023227192,"threshold_uncertainty_score":0.24203354},"labels":[],"label_agreement":null},{"id":"W4317727892","doi":"10.3390/app13031424","title":"Towards a Provably Secure Authentication Protocol for Fog-Driven IoT-Based Systems","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer security; Cloud computing; Fog computing; Protocol (science); Forward secrecy; Authentication (law); Computer network; Cryptographic protocol; Cryptography; Internet of Things; Encryption; Public-key cryptography; Operating system","score_opus":0.061914984201276245,"score_gpt":0.365253110649034,"score_spread":0.30333812644775776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317727892","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002436432,9.4284303e-7,0.71812505,0.000944662,0.000119872646,0.27886018,0.000007023286,0.00067785825,0.0010207371],"genre_scores_gemma":[0.2135013,4.1458062e-8,0.060541466,0.00011105641,0.000054521915,0.72567654,0.0000045357538,0.0000114127515,0.000099127086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974146,0.000053118736,0.00040350234,0.00085373106,0.00072998955,0.00054509484],"domain_scores_gemma":[0.99858373,0.0001798975,0.0002935626,0.00065035047,0.00017316604,0.0001192927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011858385,0.00020200516,0.00020520149,0.00025923928,0.000607637,0.00047453828,0.0018293239,0.00008330438,0.0000069847238],"category_scores_gemma":[0.000100366546,0.0001688002,0.00007125959,0.002054056,0.00027961822,0.00034302438,0.00020940526,0.00009972669,0.0001532206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015656893,0.000093828065,0.00004956436,0.0002345439,0.000005899694,7.264424e-7,0.0010064335,0.0030475422,0.006529507,0.982881,0.00042748608,0.005707821],"study_design_scores_gemma":[0.001123408,0.00020524318,0.00030993568,0.000072100294,0.000005178682,0.0000018995095,0.0002052604,0.8134895,0.016829904,0.15128326,0.016111301,0.00036298862],"about_ca_topic_score_codex":0.0000051872507,"about_ca_topic_score_gemma":0.000002447576,"teacher_disagreement_score":0.83159775,"about_ca_system_score_codex":0.00006650037,"about_ca_system_score_gemma":0.0004639213,"threshold_uncertainty_score":0.6883472},"labels":[],"label_agreement":null},{"id":"W4317728396","doi":"10.3390/app13031426","title":"Comparative Study of Blue Light with Ultraviolet (UVC) Radiation on Betacoronavirus 1","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ultraviolet; Visible spectrum; Ultraviolet light; Blue light; Photosensitizer; Chemistry; Microbiology; Photochemistry; Virology; Biology; Materials science; Optoelectronics","score_opus":0.04315770927393457,"score_gpt":0.32898270198590196,"score_spread":0.2858249927119674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317728396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98803,0.000004654634,0.00018766432,0.00011566161,0.000068957765,0.0004983557,0.0000016340582,0.00005110509,0.01104194],"genre_scores_gemma":[0.99968696,0.000001788184,0.00001969246,0.000060227423,0.000052372983,0.00003650393,0.000007865068,0.0000028016193,0.00013180227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999233,0.000018066217,0.00013649187,0.00018174444,0.00032615024,0.0001045196],"domain_scores_gemma":[0.99968666,0.000070490554,0.00008873618,0.00008540779,0.00003829789,0.000030415966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028012833,0.000065897126,0.00016371091,0.00014936789,0.00014640483,0.000012106664,0.000045454486,0.000020217632,0.000024650644],"category_scores_gemma":[0.0000067764495,0.000043215507,0.000016335063,0.0006618906,0.00007171638,0.000046785266,0.000005879898,0.000056587825,0.0000729279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045011956,0.0065285997,0.44725794,0.00010830161,0.00063300633,0.000034738896,0.083509825,0.06653967,0.28058124,0.05279174,0.0035682716,0.053945456],"study_design_scores_gemma":[0.0037806781,0.0042449725,0.92423666,0.000035536355,0.00009711513,0.000003452019,0.011357511,0.003906949,0.051375702,0.00015846423,0.00065444363,0.00014850833],"about_ca_topic_score_codex":0.000027785944,"about_ca_topic_score_gemma":0.00003189874,"teacher_disagreement_score":0.47697872,"about_ca_system_score_codex":0.000013872876,"about_ca_system_score_gemma":0.00003808546,"threshold_uncertainty_score":0.17622772},"labels":[],"label_agreement":null},{"id":"W4317734081","doi":"10.3390/app13031462","title":"Spatial Characterization of Single-Cracked Space Based on Microcrack Distribution in Sandstone Failure","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Earthquake Administration; Wuyi University","keywords":"Ellipsoid; Materials science; Spatial distribution; Scale (ratio); Regular polygon; Convex hull; Fracture (geology); Geometry; Characterization (materials science); Space (punctuation); Hull; Geology; Structural engineering; Composite material; Mathematics; Computer science; Engineering; Geodesy; Cartography; Geography","score_opus":0.014301237303814105,"score_gpt":0.20850335515407895,"score_spread":0.19420211785026484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317734081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9214726,0.0000020426226,0.07779288,0.0001281737,0.00011247818,0.00010953771,0.000018471752,0.00009067907,0.00027315033],"genre_scores_gemma":[0.9995819,0.0000050427257,0.00023140787,0.000015050446,0.000027133268,0.0000112807775,0.00011479184,0.000007362569,0.000006077203],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993565,0.000005878468,0.00014517424,0.00014907605,0.0001744582,0.0001689056],"domain_scores_gemma":[0.99982417,0.000026075671,0.000034254906,0.00007900798,0.00001323991,0.000023236174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020947987,0.00007593053,0.00009955141,0.000119849945,0.000060144077,0.000021246746,0.000100011646,0.00004399948,0.000007741599],"category_scores_gemma":[0.000010389882,0.000073403105,0.000016995162,0.00062150264,0.000022568309,0.000051966672,0.000014835144,0.00005431877,0.00001482949],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005120109,0.0000115862895,0.000033625132,0.000011986538,7.7825e-7,3.728994e-7,0.000076161465,0.106686115,0.89090323,0.00065164664,0.000028980128,0.0015904219],"study_design_scores_gemma":[0.00015054765,0.000024453684,0.00086515886,0.000026256932,0.0000015829794,1.0310895e-7,0.000053946562,0.6181075,0.38038608,0.0001496491,0.00015833089,0.000076399476],"about_ca_topic_score_codex":0.000009502166,"about_ca_topic_score_gemma":0.000027234282,"teacher_disagreement_score":0.5114214,"about_ca_system_score_codex":0.00002911846,"about_ca_system_score_gemma":0.000016216183,"threshold_uncertainty_score":0.29932916},"labels":[],"label_agreement":null},{"id":"W4317906742","doi":"10.3390/app13031501","title":"Understanding the Salmonella Inactivation Mechanisms of 365, 395 and 455 nm Light Pulses Emitted from Light-Emitting Diodes","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry","keywords":"Salmonella; Light-emitting diode; Chemistry; Intracellular; Visible spectrum; Reactive oxygen species; Microbiology; Food science; Optoelectronics; Materials science; Biology; Bacteria; Biochemistry","score_opus":0.12875652122148282,"score_gpt":0.30564825172227705,"score_spread":0.17689173050079424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317906742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876151,0.00014338168,0.007402098,0.0006064742,0.00017380102,0.00018689441,0.000012395919,0.00002574152,0.0038341011],"genre_scores_gemma":[0.9988853,0.000071142,0.00073791883,0.00011816055,0.000095140516,0.000018876193,0.000025531153,0.000010758326,0.000037205427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989426,0.00003865335,0.00020750321,0.0003826569,0.00021813932,0.0002104053],"domain_scores_gemma":[0.99948883,0.00008436928,0.00014234569,0.00022729361,0.000022228303,0.00003491551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385413,0.00012418177,0.00013090821,0.00005367546,0.00036026095,0.00005993705,0.00031252138,0.00009584592,0.000004958825],"category_scores_gemma":[0.00006392174,0.000087393564,0.000032466593,0.0003839088,0.00022267544,0.000009326909,0.0003050568,0.00005213277,0.0000030271867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023898838,0.000006700107,0.0007680065,0.0000062438294,0.000023007853,3.9668083e-7,0.0003152064,0.000045899138,0.99212354,0.0061114426,0.00012602219,0.0004496384],"study_design_scores_gemma":[0.00015276058,0.000066408036,0.0012597749,0.000013900415,0.00001383855,0.0000016430306,0.00382714,0.00019085215,0.9774986,0.016419685,0.0004287532,0.00012666588],"about_ca_topic_score_codex":0.000022446584,"about_ca_topic_score_gemma":0.000016607713,"teacher_disagreement_score":0.014624959,"about_ca_system_score_codex":0.000018780227,"about_ca_system_score_gemma":0.000041175037,"threshold_uncertainty_score":0.3563806},"labels":[],"label_agreement":null},{"id":"W4317932088","doi":"10.3390/app13031541","title":"Warranty Cost Analysis for Multi-State Products Protected by Lemon Laws","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Warranty; Product (mathematics); Quality (philosophy); Reliability engineering; Actuarial science; Duration (music); Business; Operations research; Risk analysis (engineering); Computer science; Engineering; Law; Mathematics","score_opus":0.03769049162840287,"score_gpt":0.2616556071385514,"score_spread":0.22396511551014853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317932088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3309423,0.000074428455,0.66091514,0.0006974453,0.00032993517,0.0034857262,0.00010738976,0.0014819247,0.0019656962],"genre_scores_gemma":[0.9795342,0.00005342694,0.019331528,0.000025230162,0.000018181974,0.0005503697,0.00006986645,0.000011838828,0.0004053589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991392,0.00000749507,0.0001482411,0.0002808185,0.00014280836,0.00028146434],"domain_scores_gemma":[0.99972,0.000035221405,0.000027693715,0.00013506871,0.00004675797,0.00003528534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000505005,0.00009099887,0.00013579322,0.00013060421,0.00017881404,0.00006012906,0.00016532576,0.000032992793,0.00000602523],"category_scores_gemma":[0.000065066284,0.000075471566,0.000034953646,0.002486851,0.00012032792,0.000104151375,0.000015426987,0.000049140555,0.000023474031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007390505,0.000016091666,0.00016982279,0.00005853731,0.000042742067,1.6040381e-7,0.0003994406,0.94665164,0.044711906,0.00023125019,0.002997619,0.004713371],"study_design_scores_gemma":[0.00021383469,0.000016658425,0.0008081774,0.0000041122253,0.000027373206,9.533141e-8,0.00014522175,0.9579517,0.036465,0.00027811606,0.0039360393,0.00015362562],"about_ca_topic_score_codex":0.000017434026,"about_ca_topic_score_gemma":0.000046972425,"teacher_disagreement_score":0.6485919,"about_ca_system_score_codex":0.000022823424,"about_ca_system_score_gemma":0.00001716112,"threshold_uncertainty_score":0.3077641},"labels":[],"label_agreement":null},{"id":"W4317933255","doi":"10.3390/app13031516","title":"Detection of Periapical Lesions on Panoramic Radiographs Using Deep Learning","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Artificial intelligence; Convolutional neural network; Classifier (UML); Radiography; Computer science; Detector; Pattern recognition (psychology); Dentistry; Medicine; Radiology","score_opus":0.02956446719293342,"score_gpt":0.2926277044529598,"score_spread":0.2630632372600264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317933255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938689,0.000059282964,0.0014301433,0.000008603795,0.0003974304,0.00008961643,0.000001359622,0.00014284425,0.004001853],"genre_scores_gemma":[0.9995462,0.00001748796,0.0003188573,0.00002294181,0.000044378114,0.000006459266,0.0000020483674,0.000008378574,0.00003330604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988422,0.000041405026,0.00018155243,0.0002915529,0.0003776238,0.00026568415],"domain_scores_gemma":[0.99961376,0.0001215684,0.00008739313,0.00011206722,0.000014301468,0.000050882263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038617093,0.00009605168,0.00013192314,0.000546415,0.0005667871,0.00008029708,0.00021522364,0.000039052953,0.000037219634],"category_scores_gemma":[0.000029205337,0.0000863805,0.00010941994,0.0026032128,0.0004380712,0.00011704849,0.0000482576,0.00015508509,0.000100602294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030362033,0.000048827034,0.03885674,0.000019916773,0.000023540511,0.000015031,0.00048068265,0.0067355144,0.90699047,0.003496578,0.000027274615,0.043275073],"study_design_scores_gemma":[0.001060391,0.00039693218,0.63509583,0.00011917347,0.000097478354,0.000116767624,0.016123975,0.117503844,0.22317559,0.0045390106,0.0009968018,0.0007742109],"about_ca_topic_score_codex":0.000041471136,"about_ca_topic_score_gemma":0.000014402413,"teacher_disagreement_score":0.6838149,"about_ca_system_score_codex":0.000014077392,"about_ca_system_score_gemma":0.000012745796,"threshold_uncertainty_score":0.43593255},"labels":[],"label_agreement":null},{"id":"W4317934334","doi":"10.3390/app13031545","title":"Smart Manufacturing and Industry 4.0","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Industry 4.0; Smart manufacturing; Business; Manufacturing; Manufacturing engineering; Engineering; Marketing","score_opus":0.026984746964067476,"score_gpt":0.23213256457314901,"score_spread":0.20514781760908155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317934334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6460885,0.0000056434337,0.000048349404,0.000058983263,0.000105216124,0.000037708436,0.0000017959798,0.00037231288,0.35328153],"genre_scores_gemma":[0.9996456,0.0000063792363,0.00011136966,0.00003241823,0.000025214471,0.00001315747,0.0000012922936,0.000005531403,0.00015902767],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995236,0.0000012745185,0.000082403014,0.00009088441,0.00013079219,0.00017104401],"domain_scores_gemma":[0.9998614,0.000031975436,0.0000061265487,0.000052574447,0.000001994905,0.000045892324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013714308,0.000058873742,0.00004753204,0.00008832234,0.00009125681,0.0000974203,0.00010698145,0.00007716482,0.00003146078],"category_scores_gemma":[0.0000019438116,0.00005442659,0.0000069678217,0.00027636514,0.00011416713,0.00020231094,0.000019488863,0.00014654623,0.00017307825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070475035,0.000030240695,0.011556612,0.00051170704,0.0000920459,0.000025794354,0.0046834718,0.1994142,0.015025759,0.19946381,0.05853147,0.51065785],"study_design_scores_gemma":[0.0010960744,0.00007287736,0.10203219,0.00014249125,0.000022253837,0.000055764853,0.017872544,0.026936796,0.64570874,0.042919565,0.16124801,0.0018926625],"about_ca_topic_score_codex":9.869609e-7,"about_ca_topic_score_gemma":7.4788954e-7,"teacher_disagreement_score":0.630683,"about_ca_system_score_codex":0.000006847619,"about_ca_system_score_gemma":0.000006165511,"threshold_uncertainty_score":0.22246286},"labels":[],"label_agreement":null},{"id":"W4318473372","doi":"10.3390/app13031611","title":"City Ditty: An Immersive Soundscape Sketchpad for Professionals of the Built Environment","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Noise Effects and Management","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Centre for Interdisciplinary Research in Music Media and Technology; McGill University","keywords":"Soundscape; Usability; Built environment; Computer science; Architectural engineering; Human–computer interaction; Scarcity; Multimedia; Engineering; Sound (geography); Civil engineering","score_opus":0.1082957742261464,"score_gpt":0.43472747329210837,"score_spread":0.326431699065962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318473372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98014045,0.00002362041,0.00063774537,0.0043614362,0.0009274198,0.002931653,0.000026087075,0.00004295603,0.010908663],"genre_scores_gemma":[0.9950772,0.000012900675,0.0004016632,0.0010229255,0.00012835908,0.0007848718,0.0000070158712,0.000008216075,0.002556868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984859,0.00013081425,0.0002475092,0.0003118002,0.00041899987,0.00040495285],"domain_scores_gemma":[0.99872136,0.000691623,0.00020979204,0.0002942972,0.000020663518,0.000062241015],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019287005,0.00009895764,0.00015744007,0.000066367,0.0015507732,0.0000078843395,0.0004970097,0.000058552396,0.00020117345],"category_scores_gemma":[0.00005581388,0.00005605476,0.000053795742,0.00036320728,0.00028307477,0.000073656694,0.0003830676,0.0001255325,0.00009806884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020341776,0.00061683,0.0277207,0.0010549126,0.00013908636,0.0000016058148,0.03469993,0.0010266271,0.17786841,0.52811104,0.20725244,0.021305012],"study_design_scores_gemma":[0.0032965825,0.0008071979,0.35468802,0.00043470977,0.0001654621,3.1843578e-7,0.17201638,0.002204228,0.029099971,0.23144875,0.2048583,0.0009800685],"about_ca_topic_score_codex":0.00004732187,"about_ca_topic_score_gemma":0.000038185033,"teacher_disagreement_score":0.32696733,"about_ca_system_score_codex":0.00003291656,"about_ca_system_score_gemma":0.00012622279,"threshold_uncertainty_score":0.99974906},"labels":[],"label_agreement":null},{"id":"W4318484885","doi":"10.3390/app13031790","title":"Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Downtime; Predictive maintenance; Overall equipment effectiveness; Computer science; Production (economics); Workflow; Reliability engineering; Engineering","score_opus":0.011935016594448454,"score_gpt":0.2688826864552332,"score_spread":0.25694766986078477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318484885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950331,0.0006354896,0.001330594,0.000015644513,0.000085683125,0.00028255445,0.00021411944,0.0006718027,0.0017310437],"genre_scores_gemma":[0.9984208,0.0002567176,0.0010627403,0.000005387361,0.000017699913,0.000118696946,0.00004948324,0.000014510619,0.00005397635],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871606,0.00002337395,0.00024991116,0.0003245157,0.00034627362,0.00033986775],"domain_scores_gemma":[0.9995446,0.00016133857,0.00007410111,0.00012300294,0.000016143378,0.0000808142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031423825,0.00017627266,0.00032582213,0.000328162,0.00015974996,0.000054165088,0.0002679638,0.000054647477,0.000022246943],"category_scores_gemma":[0.00003029852,0.00015522004,0.000050643608,0.0011765525,0.00021640252,0.00010527965,0.00010485913,0.00016077231,0.0000037476104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004986693,0.00012769725,0.111600704,0.00009951593,0.00052035635,0.00001583013,0.0034529783,0.10839321,0.76976764,0.00059612724,0.004299612,0.0010764755],"study_design_scores_gemma":[0.0002969699,0.000054350323,0.0070076003,0.00002471817,0.00007063014,8.3897055e-7,0.00092487445,0.5649952,0.42525014,0.00001744717,0.001155208,0.00020197326],"about_ca_topic_score_codex":0.00017980345,"about_ca_topic_score_gemma":0.000010941177,"teacher_disagreement_score":0.45660204,"about_ca_system_score_codex":0.000040586154,"about_ca_system_score_gemma":0.0000069757207,"threshold_uncertainty_score":0.63296896},"labels":[],"label_agreement":null},{"id":"W4318612004","doi":"10.3390/app13031808","title":"A Single-Cell Electroporation Model for Quantitatively Estimating the Pore Area Ratio by High-Frequency Irreversible Electroporation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electroporation; Irreversible electroporation; Materials science; Pulse (music); Biomedical engineering; Electric field; Pulse duration; Membrane; Biophysics; Chemistry; Computer science; Medicine; Biology; Optics; Telecommunications; Physics; Biochemistry","score_opus":0.05227259365532582,"score_gpt":0.3092196372701547,"score_spread":0.2569470436148289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318612004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28882077,0.000034501016,0.7094047,0.0005445558,0.00004180338,0.00040004868,0.000015106761,0.00003127026,0.0007072764],"genre_scores_gemma":[0.86399955,0.000006777965,0.13437483,0.00022261769,0.00006778783,0.000097006414,0.00070149935,0.000012435987,0.00051750906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989276,0.000052373918,0.00020660942,0.0003804103,0.0001680157,0.0002649932],"domain_scores_gemma":[0.99945146,0.000057462814,0.0002032296,0.00015227713,0.000107621076,0.00002794172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086788204,0.00012526863,0.00009724803,0.000059284564,0.0005538341,0.00010436953,0.00025023095,0.00007699212,0.0000053843896],"category_scores_gemma":[0.0001470488,0.00009873073,0.000036898902,0.00055303157,0.00016664296,0.000022714374,0.00003305887,0.00006407113,0.000005686351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016554197,0.000020862684,0.000008627716,0.000006282173,0.0000056031754,5.3750483e-8,0.00012380423,0.008126949,0.96422195,0.009225819,0.017894516,0.00034895315],"study_design_scores_gemma":[0.00017545797,0.00017827975,0.0000044581593,0.000001749287,0.000009951251,7.0748774e-7,0.00022441604,0.15247366,0.8364066,0.0101542445,0.00024113168,0.00012936351],"about_ca_topic_score_codex":0.000012300818,"about_ca_topic_score_gemma":0.000015328387,"teacher_disagreement_score":0.5751788,"about_ca_system_score_codex":0.00003006145,"about_ca_system_score_gemma":0.00016667298,"threshold_uncertainty_score":0.42597},"labels":[],"label_agreement":null},{"id":"W4318614074","doi":"10.3390/app13031799","title":"New Validation Methodology of an Adaptive Wing for UAV S45 for Fuel Reduction and Climate Improvement","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; École de technologie supérieure","keywords":"Drag; Lift-to-drag ratio; Airfoil; Wing; Lift (data mining); Aerodynamics; Wing configuration; Reduction (mathematics); Computer science; Simulation; Engineering; Aerospace engineering; Mathematics; Data mining","score_opus":0.09343989066996895,"score_gpt":0.3313343014611452,"score_spread":0.23789441079117624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318614074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62047213,0.000020893374,0.37721592,0.00031566079,0.0001411737,0.0009787973,0.000010762067,0.0001662749,0.0006783962],"genre_scores_gemma":[0.70684236,0.00002505339,0.2929636,0.000014815593,0.000016156744,0.00009815815,0.000003707763,0.0000036844442,0.000032466516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992305,0.000011073759,0.00012942393,0.00030885494,0.000110907145,0.0002092092],"domain_scores_gemma":[0.99963677,0.0001527103,0.00009129812,0.00008491747,0.000005321658,0.000028969976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085077964,0.00006704516,0.00010236602,0.00005593981,0.00018781555,0.000013780228,0.00014511796,0.000041439827,0.0000090864405],"category_scores_gemma":[0.000045804263,0.00005625917,0.000017745402,0.00029914515,0.00031926463,0.00020880983,0.00008194256,0.000024381412,0.00000317466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003671229,0.000007895937,0.00008310484,0.000013487022,0.0000027207832,4.4913442e-8,0.00029102204,0.0013963028,0.6665939,0.011433467,0.00008035757,0.32006097],"study_design_scores_gemma":[0.00044012244,0.0010238676,0.0013371325,0.0000053616955,0.000015768876,0.0000014428143,0.0053339275,0.00614022,0.6460604,0.3389951,0.0004900504,0.0001565841],"about_ca_topic_score_codex":0.000029700484,"about_ca_topic_score_gemma":0.000014536388,"teacher_disagreement_score":0.32756162,"about_ca_system_score_codex":0.000021128173,"about_ca_system_score_gemma":0.000009275743,"threshold_uncertainty_score":0.22941823},"labels":[],"label_agreement":null},{"id":"W4318705717","doi":"10.3390/app13031784","title":"Kernel Density Derivative Estimation of Euler Solutions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Central South University","keywords":"Kernel density estimation; Spurious relationship; Mathematics; Euler's formula; Kernel (algebra); Probability density function; Algorithm; Density estimation; Variable kernel density estimation; Multivariate statistics; Applied mathematics; Estimator; Computer science; Kernel method; Statistics; Mathematical analysis; Artificial intelligence","score_opus":0.04423843907268621,"score_gpt":0.27044070450616586,"score_spread":0.22620226543347965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318705717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798774,0.000018631072,0.0053873453,0.0003250541,0.00011545505,0.0000895656,0.000007764253,0.00006717287,0.0141116185],"genre_scores_gemma":[0.99247915,0.000004425904,0.0073515605,0.00006148453,0.000025319205,0.0000014133868,0.000010062684,6.7790745e-7,0.000065902765],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991163,0.000037868052,0.00012390836,0.00019300118,0.00027016384,0.00025877575],"domain_scores_gemma":[0.9992845,0.00050981494,0.000053739626,0.00007203559,0.000021671263,0.00005820962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053174037,0.00006259404,0.00011104994,0.00008149414,0.00029458717,0.000020894293,0.00017820636,0.000028246695,0.0002054952],"category_scores_gemma":[0.0001377403,0.000045017805,0.000029920131,0.0016563357,0.00032798562,0.000091175214,0.00001755791,0.000059101032,0.00054445333],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001961597,0.000037871276,0.020549351,0.000019348607,0.000014282089,0.0000018085502,0.0005221342,0.07997711,0.003303281,0.033122946,0.0010448304,0.86138743],"study_design_scores_gemma":[0.000056965397,0.00006987471,0.7847911,0.0000030096978,0.0000050640992,5.792044e-7,0.00014000306,0.118840165,0.004277649,0.091648884,0.00008230842,0.00008440181],"about_ca_topic_score_codex":0.00036104568,"about_ca_topic_score_gemma":0.00007047176,"teacher_disagreement_score":0.86130303,"about_ca_system_score_codex":0.0000012445298,"about_ca_system_score_gemma":0.000035907622,"threshold_uncertainty_score":0.69980276},"labels":[],"label_agreement":null},{"id":"W4319025100","doi":"10.3390/app13031897","title":"Zeolites: A Theoretical and Practical Approach with Uses in (Bio)Chemical Processes","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"RUDN University; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agriculture and Agri-Food Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Zeolite; Crystallization; Materials science; Porosity; Chemical engineering; Nanoreactor; Nanotechnology; Mineralogy; Chemistry; Catalysis; Organic chemistry; Composite material; Nanoparticle","score_opus":0.026605815113571525,"score_gpt":0.27003313641639193,"score_spread":0.2434273213028204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319025100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148961,0.000064836284,0.00005756412,0.0005506461,0.0000038685907,0.00006223108,0.0000047264507,0.000094733296,0.08426534],"genre_scores_gemma":[0.9969741,0.000032261363,0.0027153525,0.00008656661,0.000038525202,0.00008050189,0.000009829575,0.000009653698,0.00005318582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852514,0.000011537771,0.00017937536,0.00052824203,0.0003903548,0.0003653428],"domain_scores_gemma":[0.99895424,0.0007054685,0.0000461126,0.0001687631,0.000025508954,0.00009990375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047627994,0.00014188822,0.00021218968,0.00009085739,0.00010843305,0.00013722842,0.00018738201,0.000085048254,0.00011658995],"category_scores_gemma":[0.00036909382,0.00009243411,0.000018757195,0.001062232,0.0016958636,0.000117482836,0.000103378254,0.00013959121,0.000020745028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028295405,0.0007350696,0.052679636,0.0010940661,0.0000758064,0.00008743816,0.004794392,0.000053795724,0.1325266,0.79683644,0.0007727528,0.010061071],"study_design_scores_gemma":[0.0019818004,0.00012658973,0.0034938785,0.00032492884,0.00019294047,0.0003380308,0.032540794,0.01043217,0.8629001,0.08034027,0.0053156414,0.0020128607],"about_ca_topic_score_codex":0.000005307725,"about_ca_topic_score_gemma":0.0000035303424,"teacher_disagreement_score":0.7303735,"about_ca_system_score_codex":0.000012742316,"about_ca_system_score_gemma":0.00012700635,"threshold_uncertainty_score":0.624848},"labels":[],"label_agreement":null},{"id":"W4319080748","doi":"10.3390/app13031985","title":"Shielding Assessment and Optimization of the Target Station for Medical Isotope Production Based on Superconducting Proton Linac","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF","funders":"National Natural Science Foundation of China","keywords":"Electromagnetic shielding; Nuclear engineering; Linear particle accelerator; Nuclear decommissioning; Environmental science; Economic shortage; Nuclear physics; Radiation protection; Nuclear power; Physics; Beam (structure); Engineering; Electrical engineering","score_opus":0.03796920564475817,"score_gpt":0.3488860013469317,"score_spread":0.31091679570217357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319080748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96359074,0.000012103277,0.025246488,0.007983107,0.00026271213,0.002003571,0.0000025231855,0.000052456922,0.00084631226],"genre_scores_gemma":[0.9852842,0.000009451582,0.014132006,0.00029518484,0.00007982395,0.00015627162,0.000010750127,0.000004276012,0.000028035176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917763,0.000024404766,0.00014534467,0.00017896536,0.00038317512,0.00009045442],"domain_scores_gemma":[0.99964005,0.00014792812,0.0000682347,0.00007807169,0.000036248162,0.000029444409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357694,0.000047320642,0.00008096512,0.00009906683,0.0002294731,0.00001585901,0.00005479072,0.00003935663,0.000032317952],"category_scores_gemma":[0.00026043557,0.000030151741,0.000017876902,0.00053806556,0.00011869164,0.000071497125,0.0000089483265,0.00006182167,4.3569472e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042165536,0.0003879896,0.10217434,0.0008202875,0.000045402514,7.7007894e-7,0.0031924557,0.6879794,0.14200093,0.020001194,0.000969946,0.042005632],"study_design_scores_gemma":[0.0008280852,0.00035445864,0.0120966025,0.00010095365,0.000016192009,0.000001352313,0.0015972984,0.88530564,0.09863035,0.00076017296,0.00022840833,0.00008050075],"about_ca_topic_score_codex":0.0000033550104,"about_ca_topic_score_gemma":4.617591e-7,"teacher_disagreement_score":0.19732624,"about_ca_system_score_codex":0.000019395982,"about_ca_system_score_gemma":0.00016410089,"threshold_uncertainty_score":0.17649448},"labels":[],"label_agreement":null},{"id":"W4319318926","doi":"10.3390/app13042033","title":"Application of Machine Learning to Predict the Mechanical Characteristics of Concrete Containing Recycled Plastic-Based Materials","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Polyethylene terephthalate; Materials science; Composite material; Bottle; Fiber; Structural engineering; Engineering","score_opus":0.01630436640845895,"score_gpt":0.24177365422619224,"score_spread":0.2254692878177333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319318926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513679,0.0000032198843,0.047115806,0.00003519592,0.00023046338,0.00034261178,0.000058977217,0.00017690372,0.00066892797],"genre_scores_gemma":[0.9991947,0.000004731642,0.00054506166,0.00004002078,0.00004679135,0.00010431778,0.000043913755,0.000015167824,0.0000053430344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874395,0.000037152295,0.0005036086,0.00016207754,0.00030693668,0.0002462947],"domain_scores_gemma":[0.99910784,0.00046246927,0.00018258474,0.0001477065,0.00006602404,0.000033402986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434002,0.00012270664,0.0002917492,0.00014174932,0.00010263066,0.00003286854,0.0003187615,0.000047484747,0.000053595402],"category_scores_gemma":[0.00021370793,0.00009240225,0.00002044726,0.0007442957,0.00015306855,0.000042014406,0.00007218168,0.000058197547,0.000022115784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042056578,5.074709e-7,0.00015908827,0.00005314992,0.000013132014,1.9503484e-7,0.0001312989,0.005779047,0.97443324,0.018794242,0.00001449683,0.0005795224],"study_design_scores_gemma":[0.00021173863,0.00012380528,0.0008894263,0.000035069737,0.0000122478705,2.497697e-7,0.00014920777,0.14751376,0.8504932,0.000100155776,0.00036151422,0.00010965808],"about_ca_topic_score_codex":0.000016669253,"about_ca_topic_score_gemma":6.255151e-7,"teacher_disagreement_score":0.1417347,"about_ca_system_score_codex":0.000019630537,"about_ca_system_score_gemma":0.000031102798,"threshold_uncertainty_score":0.37680545},"labels":[],"label_agreement":null},{"id":"W4319786705","doi":"10.3390/app13042209","title":"Biomedical Imaging Technologies for Cardiovascular Disease","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Disease; Internal medicine","score_opus":0.02258453776785431,"score_gpt":0.29121846065524837,"score_spread":0.26863392288739407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319786705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70859534,0.033430666,0.085602954,0.10388906,0.0045178514,0.0059200977,0.000249201,0.015482359,0.04231248],"genre_scores_gemma":[0.99701536,0.00006038307,0.002376497,0.00021139898,0.000119140714,0.00014086129,0.000020576152,0.00000815524,0.000047630067],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888694,0.000004057779,0.00009665188,0.0003051736,0.00041125133,0.00029589678],"domain_scores_gemma":[0.999399,0.00021155577,0.000014999679,0.00025311607,0.000028940853,0.0000923739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059955026,0.000078086196,0.00017242871,0.0002033715,0.00019950868,0.00003955872,0.00012288337,0.000023158647,0.0000022433942],"category_scores_gemma":[0.0006428603,0.00005979835,0.00022475675,0.0007789174,0.00069446827,0.000030602943,0.00007431243,0.000056904766,0.000075729644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015634332,0.00026465105,0.16180727,0.00057496486,0.0007069334,0.0004778944,0.00052967557,0.0010020186,0.008128338,0.050251868,0.15676573,0.61933434],"study_design_scores_gemma":[0.005376479,0.00021679293,0.08094779,0.00031329275,0.002123503,0.00009261859,0.015869817,0.023384104,0.00911919,0.067554355,0.79380774,0.0011942995],"about_ca_topic_score_codex":0.0000052863375,"about_ca_topic_score_gemma":7.7789515e-8,"teacher_disagreement_score":0.63704205,"about_ca_system_score_codex":0.000014605682,"about_ca_system_score_gemma":0.000102770886,"threshold_uncertainty_score":0.25587973},"labels":[],"label_agreement":null},{"id":"W4319922998","doi":"10.3390/app13042223","title":"A Systematic Literature Review on Urban Resilience Enabled with Asset and Disaster Risk Management Approaches and GIS-Based Decision Support Tools","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Resilience (materials science); Multidisciplinary approach; Asset (computer security); Emergency management; Risk analysis (engineering); Geographic information system; Asset management; Computer science; Decision support system; Scopus; Community resilience; Conceptual framework; Management science; Environmental planning; Business; Geography; Engineering; Political science; Resource (disambiguation); Sociology; Computer security; Data mining","score_opus":0.016673110547623937,"score_gpt":0.24166520920216986,"score_spread":0.22499209865454592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319922998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6842279,0.008776374,0.0075191725,0.0031050486,0.00032668907,0.016808229,0.00005657072,0.0006500259,0.27852997],"genre_scores_gemma":[0.9757174,0.0082595,0.012927259,0.0010349356,0.000016867007,0.00069549296,0.000023689256,0.000018533816,0.001306323],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99777097,0.000071907256,0.00026634333,0.00073428726,0.0008092985,0.00034717622],"domain_scores_gemma":[0.99920356,0.00018472454,0.00015284635,0.0003503481,0.000003843753,0.0001046721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017728173,0.00022073761,0.00028320722,0.00011457542,0.0003937794,0.00035109825,0.00035141126,0.00003335437,0.000048525675],"category_scores_gemma":[0.000024847108,0.0001300066,0.000025976446,0.0011764275,0.00039567146,0.0002968577,0.00028899894,0.00009958237,0.00010792906],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083263166,0.0014714214,0.1022231,0.1872347,0.00054139685,0.00076225674,0.013898994,0.02273743,0.0006099451,0.08625858,0.21356496,0.36986458],"study_design_scores_gemma":[0.0128745185,0.008423293,0.5331153,0.23382331,0.0035869712,0.00010728287,0.032743398,0.104630426,0.0010378906,0.019530445,0.041489616,0.008637506],"about_ca_topic_score_codex":0.000005324332,"about_ca_topic_score_gemma":0.000028318258,"teacher_disagreement_score":0.43089223,"about_ca_system_score_codex":0.00003278695,"about_ca_system_score_gemma":0.0000068964314,"threshold_uncertainty_score":0.53015155},"labels":[],"label_agreement":null},{"id":"W4319923091","doi":"10.3390/app13042227","title":"Low-Complexity Data-Reuse RLS Algorithm for Stereophonic Acoustic Echo Cancellation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Stereophonic sound; Computer science; Loudspeaker; Algorithm; Microphone; Echo (communications protocol); Convergence (economics); Context (archaeology); Reuse; Channel (broadcasting); Acoustics; Telecommunications; Engineering","score_opus":0.102311236366389,"score_gpt":0.32041198157162504,"score_spread":0.21810074520523604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319923091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033401377,0.000036425325,0.9612627,0.000056191424,0.00041814437,0.00060897495,0.00026159876,0.0022477605,0.0017068187],"genre_scores_gemma":[0.6548991,0.000043347092,0.34456578,0.000028355931,0.0001377509,0.0001339287,0.000088017616,0.000027736454,0.00007593723],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998873,0.0000055381506,0.00017472089,0.00037795948,0.00020563178,0.00036316234],"domain_scores_gemma":[0.9989907,0.00013517945,0.000038198406,0.0007657194,0.00002100272,0.000049179813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003825499,0.00014260029,0.00014727621,0.00012087767,0.00019668651,0.000060433256,0.0012944445,0.00004491624,0.000015027819],"category_scores_gemma":[0.000046238416,0.00013729754,0.000019847415,0.0005803972,0.00019576003,0.00024065371,0.00036909967,0.00008273873,0.000057854606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013148274,0.00003841686,0.000042409363,0.00030229872,0.00004122073,0.0000063300286,0.0007334459,0.24746779,0.39331648,0.0037803615,0.030403702,0.32385442],"study_design_scores_gemma":[0.00016459425,0.000036407426,0.00032930673,0.00002856118,0.000009303011,0.0000011625547,0.00012797338,0.9094464,0.053450912,0.033215858,0.002888001,0.0003015009],"about_ca_topic_score_codex":0.000008813768,"about_ca_topic_score_gemma":0.000035991237,"teacher_disagreement_score":0.66197866,"about_ca_system_score_codex":0.000064945416,"about_ca_system_score_gemma":0.00003172111,"threshold_uncertainty_score":0.5598831},"labels":[],"label_agreement":null},{"id":"W4320492887","doi":"10.3390/app13042377","title":"Management of Used COVID-19 Personal Protective Equipment: A Bibliometric Analysis and Literature Review","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Personal protective equipment; Coronavirus disease 2019 (COVID-19); Greenhouse gas; Sustainable development; Production (economics); Business; Environmental planning; Environmental economics; Engineering; Environmental science; Political science; Medicine","score_opus":0.06050488817790063,"score_gpt":0.3615464188168904,"score_spread":0.3010415306389898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320492887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91796446,0.034550518,0.0015149312,0.018462297,0.00007509897,0.005364477,0.000043232685,0.00018033954,0.021844642],"genre_scores_gemma":[0.9701661,0.02681425,0.0006596637,0.0017792573,0.000011837479,0.00015750997,0.000023470751,0.0000046200157,0.00038330842],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985162,0.000027073605,0.00021162689,0.00037314688,0.000645533,0.00022639109],"domain_scores_gemma":[0.99953556,0.000045408062,0.00008232751,0.00014075247,0.000010824559,0.00018513836],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0011951146,0.00010176286,0.0002845978,0.013326318,0.00014245661,0.000026116693,0.000103600585,0.00002881509,0.00006603441],"category_scores_gemma":[0.000018675597,0.000075122385,0.00006855126,0.12797622,0.00019944599,0.00004872997,0.00015219225,0.00007108685,0.000021987797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027217713,0.00070825516,0.12023709,0.08628556,0.004653066,0.0012564923,0.011646351,0.00020064578,0.0026703181,0.010460604,0.008863026,0.7527464],"study_design_scores_gemma":[0.0031282837,0.0013943828,0.9414346,0.0049850713,0.0039661466,0.000046078647,0.016352478,0.0015497566,0.0007822788,0.001264514,0.024305487,0.0007908962],"about_ca_topic_score_codex":0.000033425487,"about_ca_topic_score_gemma":0.0000050602093,"teacher_disagreement_score":0.82119757,"about_ca_system_score_codex":0.00006207375,"about_ca_system_score_gemma":0.00002835428,"threshold_uncertainty_score":0.9978568},"labels":[],"label_agreement":null},{"id":"W4320492970","doi":"10.3390/app13042370","title":"Design of a Compact Planar Magnetic Levitation System with Wrench–Current Decoupling Enhancement","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Planar; Magnet; Levitation; Decoupling (probability); Control theory (sociology); Computer science; Acoustics; Physics; Electrical engineering; Engineering; Control engineering","score_opus":0.02963295158332533,"score_gpt":0.23893791223361824,"score_spread":0.20930496065029291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320492970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5543105,0.0003735531,0.43858907,0.000031816053,0.00027777423,0.0005354791,0.000003939595,0.00032547998,0.0055523724],"genre_scores_gemma":[0.9946217,0.000033926935,0.005268935,0.0000032205203,0.000013115954,0.000028434413,0.0000046583245,0.0000074224904,0.000018592362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991875,0.000007873906,0.00018767455,0.00014705135,0.00028246385,0.00018742077],"domain_scores_gemma":[0.99970007,0.0001053257,0.000048972448,0.00008516782,0.000022207387,0.000038281578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037631372,0.00009254425,0.00012306303,0.0001374826,0.000082316765,0.000037811027,0.00013640207,0.00001825828,0.00001887194],"category_scores_gemma":[0.0000036879442,0.00007489616,0.000011850038,0.0006007464,0.00008316613,0.000044865246,0.0000064894652,0.000049814375,0.000034911733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070962506,0.000010987729,0.00018291897,0.0002829521,0.0000077273835,8.102682e-7,0.000984337,0.95816493,0.019416118,0.007990435,0.00021251745,0.012739144],"study_design_scores_gemma":[0.00018838533,0.00014383493,0.0021044763,0.00010141122,0.000011571327,0.0000012346815,0.0010286301,0.9943613,0.0017069821,0.00013074584,0.00008850737,0.00013291593],"about_ca_topic_score_codex":0.000008104349,"about_ca_topic_score_gemma":0.0000046927385,"teacher_disagreement_score":0.4403112,"about_ca_system_score_codex":0.000026944874,"about_ca_system_score_gemma":0.000026653961,"threshold_uncertainty_score":0.30541766},"labels":[],"label_agreement":null},{"id":"W4321231450","doi":"10.3390/app13042592","title":"Thermal-Hydraulic-Mechanical Coupling Simulation of CO2 Enhanced Coalbed Methane Recovery with Regards to Low-Rank but Relatively Shallow Coal Seams","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Petroleum engineering; Coalbed methane; Coal; Coal mining; Multiphysics; Enhanced coal bed methane recovery; Permeability (electromagnetism); Methane; Environmental science; Materials science; Geotechnical engineering; Geology; Finite element method; Engineering; Waste management; Chemistry; Structural engineering","score_opus":0.022893055505359236,"score_gpt":0.244468498918724,"score_spread":0.22157544341336477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321231450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92688555,0.000024994439,0.067810856,0.00006149027,0.00014465497,0.00036548596,0.000005933029,0.0002495225,0.004451502],"genre_scores_gemma":[0.99906945,0.000020027974,0.00060398644,0.000046922964,0.00004712891,0.000033554425,0.000010187647,0.000022490638,0.00014622339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986947,0.00001258756,0.0002711821,0.00030264625,0.00042536086,0.00029352732],"domain_scores_gemma":[0.99943787,0.00020697691,0.0000615373,0.0001558714,0.000059928178,0.000077839824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005249122,0.00015269303,0.00022958362,0.00013013542,0.00012373281,0.000041921223,0.00021619398,0.00007905884,0.000039544455],"category_scores_gemma":[0.000053065476,0.000120282486,0.000036096255,0.0008970512,0.00009871464,0.00016902537,0.000058878322,0.00010437452,0.000049782167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008159673,0.0000074704544,0.000025579138,0.00002775493,0.000013390151,6.112991e-7,0.00028688036,0.8069658,0.19080392,0.00022444814,0.00001906239,0.0015434645],"study_design_scores_gemma":[0.00027276453,0.00015900789,0.0006187174,0.00006386927,0.000011796321,2.4528697e-7,0.0004173854,0.8218133,0.17620182,0.00015375967,0.00010867639,0.0001786708],"about_ca_topic_score_codex":0.00003264025,"about_ca_topic_score_gemma":0.000057338508,"teacher_disagreement_score":0.07218392,"about_ca_system_score_codex":0.00004224947,"about_ca_system_score_gemma":0.000046397403,"threshold_uncertainty_score":0.49049774},"labels":[],"label_agreement":null},{"id":"W4321372906","doi":"10.3390/app13042706","title":"Improving User Experience with Recommender Systems by Informing the Design of Recommendation Messages","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Recommender system; Situational ethics; Computer science; Extant taxon; Transparency (behavior); Advice (programming); Product (mathematics); Perception; World Wide Web; Psychology; Social psychology; Computer security","score_opus":0.16084535546783849,"score_gpt":0.37387475979399887,"score_spread":0.21302940432616038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321372906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84138644,0.00004127386,0.15122148,0.003016927,0.00042203997,0.00069955847,0.000011198318,0.00031116456,0.0028899193],"genre_scores_gemma":[0.9977729,0.000013247875,0.0012920817,0.00016246336,0.000010318109,0.00011886119,0.0000022001493,0.0000058785017,0.0006220833],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99782526,0.000105559884,0.0004906511,0.00041312937,0.0008689893,0.00029642376],"domain_scores_gemma":[0.99795,0.0011082166,0.0004156794,0.00038032004,0.00010315448,0.000042617456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051683933,0.00012477314,0.00018689882,0.00029389586,0.0006391824,0.0002811147,0.0012128247,0.000076870136,0.000082046885],"category_scores_gemma":[0.00029140667,0.00006434611,0.000023215287,0.002431459,0.00065383303,0.0005014409,0.00017632355,0.00013749544,0.000071463786],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014030356,0.000196093,0.1371457,0.00002867343,0.00005709207,0.0000051233724,0.022771655,0.015069437,0.111841455,0.04706002,0.13604134,0.5296431],"study_design_scores_gemma":[0.0028012812,0.0010864915,0.04368196,0.00012779793,0.00008315045,0.0000717781,0.64272064,0.091802865,0.12134817,0.008602702,0.085595295,0.0020778582],"about_ca_topic_score_codex":0.00004894892,"about_ca_topic_score_gemma":0.0000070747383,"teacher_disagreement_score":0.619949,"about_ca_system_score_codex":0.000017813485,"about_ca_system_score_gemma":0.00006866118,"threshold_uncertainty_score":0.4916139},"labels":[],"label_agreement":null},{"id":"W4321374879","doi":"10.3390/app13042639","title":"Heads Up! A Biomechanical Pilot Investigation of Soccer Heading Using Instrumented Mouthguards (iMGs)","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"University of Leeds","keywords":"Header; Kinematics; Ball (mathematics); Computer science; Simulation; Physical medicine and rehabilitation; Medicine; Mathematics; Physics","score_opus":0.31216272898608866,"score_gpt":0.4158810673932417,"score_spread":0.10371833840715305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321374879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662495,0.000010454293,0.00038651822,0.0012113272,0.0001641352,0.00042581777,0.000007054983,0.00011903962,0.0010507079],"genre_scores_gemma":[0.9962014,0.00000380867,0.0034097845,0.00018800284,0.00005654214,0.000025262872,0.000011281285,0.000012603524,0.000091339745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979288,0.000046920064,0.00035377062,0.00034020084,0.00093156274,0.00039873942],"domain_scores_gemma":[0.99933404,0.00014603557,0.000094272,0.00020855304,0.00006383017,0.00015327157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017848307,0.000112752066,0.0002594059,0.0004993407,0.0002159882,0.00003802089,0.00021836236,0.000059860366,0.000106976586],"category_scores_gemma":[0.00013752723,0.00009247318,0.000036297195,0.0027187353,0.00077524415,0.00010518125,0.00011637037,0.00015119795,0.00007285728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006469922,0.000027702052,0.0027617132,0.0000936104,0.000021353459,0.0000018425757,0.0008407331,0.000011818907,0.9848734,0.0078348955,0.0003094753,0.0031587481],"study_design_scores_gemma":[0.0024247319,0.0011695463,0.019560358,0.0003545709,0.00005794789,0.00003571172,0.005666701,0.028838173,0.9300722,0.011434973,0.00007319563,0.00031189938],"about_ca_topic_score_codex":0.00012670123,"about_ca_topic_score_gemma":0.0000071902145,"teacher_disagreement_score":0.054801214,"about_ca_system_score_codex":0.00007411652,"about_ca_system_score_gemma":0.00036559874,"threshold_uncertainty_score":0.3770947},"labels":[],"label_agreement":null},{"id":"W4321374905","doi":"10.3390/app13042604","title":"A Survey on Consensus Protocols and Attacks on Blockchain Technology","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Blockchain; Computer security; Computer science; Cryptography; Hash function; Protocol (science); Byzantine fault tolerance; Public-key cryptography; Encryption; Distributed computing; Fault tolerance","score_opus":0.04513829260041784,"score_gpt":0.31564127447177637,"score_spread":0.2705029818713585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321374905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580564,0.000025557349,0.0025052277,0.017711578,0.00009636946,0.007671654,0.000017172726,0.0024379403,0.011478114],"genre_scores_gemma":[0.9930764,0.0000027036294,0.0027215346,0.00046787056,0.000011311139,0.0036397348,0.0000010512148,0.0000053702347,0.00007402721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831456,0.000043950142,0.00018936579,0.0007658207,0.00028176434,0.0004045296],"domain_scores_gemma":[0.9987413,0.00042651125,0.00008689696,0.0006497724,0.000033944747,0.000061568906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014567581,0.00015236315,0.00018080036,0.00056627486,0.0005943451,0.00009424949,0.0012182998,0.00017519091,0.0000027472327],"category_scores_gemma":[0.00010281418,0.00012563424,0.000017490353,0.0033761335,0.0010042215,0.000012890794,0.000365795,0.00024426583,0.0001955244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005704942,0.000058307844,0.001608984,0.0000036660267,0.0000043666196,0.000004996776,0.00008239698,0.00008622355,0.0007499519,0.96005005,0.0023409107,0.03500444],"study_design_scores_gemma":[0.0020077056,0.0023350143,0.08727488,0.00011247495,0.0000072646644,0.000048408536,0.0005628143,0.11887534,0.05203522,0.70850056,0.02664275,0.0015975583],"about_ca_topic_score_codex":0.000015037283,"about_ca_topic_score_gemma":0.000038964365,"teacher_disagreement_score":0.25154948,"about_ca_system_score_codex":0.000014076177,"about_ca_system_score_gemma":0.00006651087,"threshold_uncertainty_score":0.51232153},"labels":[],"label_agreement":null},{"id":"W4321377464","doi":"10.3390/app13042597","title":"Lower Bound for Sculpture Garden Problem: Localization of IoT Devices","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Monotone polygon; Conjecture; Polygon (computer graphics); Vertex (graph theory); Guard (computer science); Sculpture; Combinatorics; Computer science; Upper and lower bounds; Mathematics; Theoretical computer science; Art; Geometry; Visual arts","score_opus":0.02609842024207973,"score_gpt":0.2757502606391312,"score_spread":0.2496518403970515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321377464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021351308,0.000059229762,0.9719328,0.0006638561,0.0003078103,0.00035549724,0.0000028144502,0.0001225171,0.005204114],"genre_scores_gemma":[0.95906657,0.000003885744,0.04027525,0.0002467675,0.00007767616,0.000047829606,0.000011175007,0.0000030985373,0.00026776074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998991,0.000013040572,0.00017257656,0.00030189435,0.0003485375,0.00017295081],"domain_scores_gemma":[0.99951917,0.0001272978,0.00009255205,0.00012365577,0.00010315767,0.000034138517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006436356,0.000071094044,0.000091197246,0.00017583984,0.00029977565,0.00013447834,0.0004719725,0.00003465959,0.000006496148],"category_scores_gemma":[0.000022524577,0.000059494716,0.000033593755,0.0016565714,0.00012826003,0.00015595084,0.000086180466,0.00002529855,0.000024700581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009317623,0.000055565946,0.00024838373,0.00008381699,0.000014273999,5.888217e-7,0.0011588035,0.33725467,0.0067849527,0.6124321,0.008144741,0.033812758],"study_design_scores_gemma":[0.000424681,0.00023330841,0.0013152852,0.00003117943,0.000011175009,0.000002626996,0.00025818511,0.819128,0.01989117,0.112548456,0.04585191,0.00030406343],"about_ca_topic_score_codex":0.0000024135552,"about_ca_topic_score_gemma":0.000011219996,"teacher_disagreement_score":0.93771523,"about_ca_system_score_codex":0.000009339951,"about_ca_system_score_gemma":0.00011697434,"threshold_uncertainty_score":0.2426124},"labels":[],"label_agreement":null},{"id":"W4321459764","doi":"10.3390/app13042735","title":"The Improvement and Application of the Electrogeochemical Exploration Method","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Anode; Prospecting; Cationic polymerization; Dipole; Extraction (chemistry); Cathode; Mineral exploration; Ion; Materials science; Mining engineering; Process engineering; Nanotechnology; Chemistry; Geology; Electrode; Metallurgy; Engineering; Chromatography; Physical chemistry","score_opus":0.017104915576765467,"score_gpt":0.26401294929371605,"score_spread":0.24690803371695058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321459764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12891261,0.00011936723,0.7912482,0.051822353,0.00020802164,0.00084326504,9.849798e-7,0.00023969938,0.026605505],"genre_scores_gemma":[0.9958886,0.000012036983,0.0038358336,0.00008863496,0.000014418403,0.00007173864,4.0748367e-7,4.4093932e-7,0.00008787588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993195,0.00001734748,0.00010759089,0.00020829757,0.0002013559,0.00014589119],"domain_scores_gemma":[0.9994717,0.00017481303,0.00007697986,0.000233617,0.000026611375,0.000016254748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010230814,0.00004523017,0.00004514132,0.000013432565,0.00043716893,0.000058531958,0.0006668216,0.000020987696,4.171035e-7],"category_scores_gemma":[0.00004644572,0.000023422439,0.00001546061,0.0007249191,0.00020104826,0.00007355839,0.00026215523,0.000048599704,0.000003162537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.9640685e-7,0.0000045452307,0.000106739506,0.0000047921794,0.0000021864232,2.33736e-8,0.00026347762,0.00027762103,0.5551505,0.36791,0.00024871295,0.07603049],"study_design_scores_gemma":[0.000048991486,0.00001745716,0.000460851,0.0000019504553,0.0000017754867,0.0000012244603,0.00029967565,0.09028104,0.66173816,0.24253121,0.004566092,0.0000515735],"about_ca_topic_score_codex":0.0000057280886,"about_ca_topic_score_gemma":0.000002680263,"teacher_disagreement_score":0.866976,"about_ca_system_score_codex":0.0000045849342,"about_ca_system_score_gemma":0.000027845628,"threshold_uncertainty_score":0.3362394},"labels":[],"label_agreement":null},{"id":"W4321497314","doi":"10.3390/app13052778","title":"Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"King Saud University","keywords":"Selfishness; Honesty; Computer science; Internet privacy; Network packet; Perspective (graphical); Social network (sociolinguistics); Computer security; The Internet; World Wide Web; Social psychology; Artificial intelligence; Psychology; Social media","score_opus":0.02217420398298532,"score_gpt":0.30268001142912015,"score_spread":0.28050580744613485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321497314","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34021506,0.0000027288813,0.6507163,0.0020401317,0.000938303,0.00032236282,1.1649637e-7,0.0002453827,0.005519605],"genre_scores_gemma":[0.98154724,1.5903527e-7,0.017615903,0.00048733782,0.0002553917,0.000044841585,0.0000010700456,0.0000036375322,0.0000444492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988055,0.000033257606,0.00022097373,0.00035036448,0.00030361422,0.00028625128],"domain_scores_gemma":[0.99969053,0.00007742116,0.00007747909,0.000089900444,0.000037932285,0.000026708823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012492276,0.00008837401,0.0001415703,0.00028548506,0.0002700097,0.000120025376,0.00086659275,0.000055197594,0.0000013993777],"category_scores_gemma":[0.000022310096,0.00008364296,0.000027476137,0.0023389666,0.000136224,0.00026881497,0.00024029281,0.0000979849,0.00004876347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032856056,0.00016845056,0.0011112022,0.00008882163,0.000007835525,0.000012277164,0.053558733,0.00095553545,0.5269902,0.21474424,0.031126201,0.17120364],"study_design_scores_gemma":[0.00039044567,0.00024270704,0.0066660647,0.00009198648,0.0000036127458,0.0000017984314,0.0003419859,0.1675049,0.8003806,0.019393649,0.0042295326,0.0007527239],"about_ca_topic_score_codex":0.000048990194,"about_ca_topic_score_gemma":0.0000053623367,"teacher_disagreement_score":0.64133215,"about_ca_system_score_codex":0.000030441475,"about_ca_system_score_gemma":0.00013143934,"threshold_uncertainty_score":0.3410861},"labels":[],"label_agreement":null},{"id":"W4321598712","doi":"10.3390/app13052825","title":"Neurofeedback Effects on EEG Connectivity among Children with Reading Disorders: I. Coherence","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Consejo Nacional de Ciencia y Tecnología; Fondation Brain Canada","keywords":"Neurofeedback; Psychology; Electroencephalography; Audiology; Reading comprehension; Developmental psychology; Reading (process); Neuroscience; Medicine","score_opus":0.01907063591720632,"score_gpt":0.25641985093925884,"score_spread":0.23734921502205253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321598712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838213,0.0000030945196,0.00016520939,0.00041883532,0.0002525322,0.0005193711,0.000003742375,0.0004318677,0.014384062],"genre_scores_gemma":[0.9989612,0.0000063705384,0.000073116724,0.00066803425,0.00005698918,0.000057872225,0.0000010310189,0.000015184406,0.00016017935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99771804,0.00010038044,0.00014103204,0.0009421784,0.00055391947,0.00054444326],"domain_scores_gemma":[0.99819624,0.0013134899,0.00010545686,0.0002735681,0.00000937131,0.000101882666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038023782,0.00022405578,0.00019975551,0.00017839321,0.00064230216,0.0002676293,0.00076385133,0.0000464302,0.0000118427415],"category_scores_gemma":[0.00015302651,0.00015778812,0.000036228575,0.0015623507,0.0008139525,0.00027387287,0.00016399568,0.000219478,0.00027545248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014866589,0.00031519105,0.247527,0.00008423353,0.00003078209,0.000046531088,0.0028133392,0.009368324,0.63473207,0.03503356,0.004901139,0.064999156],"study_design_scores_gemma":[0.00059740816,0.00086597295,0.397312,0.00010268152,0.00000932297,0.0000099155695,0.0001683391,0.0027325142,0.59438694,0.0031753918,0.00013952354,0.0005000089],"about_ca_topic_score_codex":0.000046162055,"about_ca_topic_score_gemma":0.000049626513,"teacher_disagreement_score":0.14978497,"about_ca_system_score_codex":0.000014516601,"about_ca_system_score_gemma":0.000035767614,"threshold_uncertainty_score":0.64344126},"labels":[],"label_agreement":null},{"id":"W4321598928","doi":"10.3390/app13052810","title":"4D-Flow MRI Characterization of Pulmonary Flow in Repaired Tetralogy of Fallot","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"University of Calgary","keywords":"Medicine; Cardiology; Internal medicine; Hemodynamics; Tetralogy of Fallot; Blood flow; Ventricle; Pulmonary artery; Magnetic resonance imaging; Regurgitant fraction; Ejection fraction; Radiology; Heart failure; Heart disease","score_opus":0.026945988989302453,"score_gpt":0.27727650237178364,"score_spread":0.2503305133824812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321598928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947336,0.0000417725,0.000023786582,0.00026029957,0.00008232197,0.000285572,0.000017906132,0.000050876195,0.0045038844],"genre_scores_gemma":[0.9991948,0.00004093964,0.00049904274,0.000048947804,0.000028223814,0.000029115654,0.000016837517,0.0000052526707,0.00013685097],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990253,0.000014677119,0.000261124,0.0002253324,0.00028814175,0.00018545517],"domain_scores_gemma":[0.99967724,0.00006725254,0.00003770583,0.00013415948,0.000040601673,0.000043066655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029856118,0.00007369694,0.00023988987,0.000252402,0.00005965314,0.0000039290726,0.00008652622,0.00003270745,0.00003541949],"category_scores_gemma":[0.000048699727,0.000062571926,0.00004071354,0.0012314288,0.00047479678,0.00005262306,0.000064009706,0.00004359068,0.000017641985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017699815,0.00021223596,0.23269445,0.00027098367,0.000026903452,0.000037059744,0.0014388618,0.000054425404,0.706287,0.00056640874,0.00010129031,0.058133386],"study_design_scores_gemma":[0.00043715627,0.00014912277,0.9426323,0.00008098758,0.000026180045,0.0000056308904,0.0009036479,0.038332336,0.016654534,0.00050004874,0.00016552265,0.00011253891],"about_ca_topic_score_codex":0.000020429929,"about_ca_topic_score_gemma":0.000030069174,"teacher_disagreement_score":0.7099379,"about_ca_system_score_codex":0.00001294472,"about_ca_system_score_gemma":0.00010869623,"threshold_uncertainty_score":0.25516093},"labels":[],"label_agreement":null},{"id":"W4321786849","doi":"10.3390/app13052908","title":"Experimental Analysis of the Behavior of Mirror-like Objects in LiDAR-Based Robot Navigation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Lidar; Computer science; Computer vision; Artificial intelligence; Specular reflection; Mobile robot; Ranging; Robot; Remote sensing; Obstacle; Optics; Geology; Geography; Physics","score_opus":0.022896775464772017,"score_gpt":0.2643260176285673,"score_spread":0.24142924216379527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321786849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984431,0.000017735061,0.0007145226,0.000008114645,0.000088916706,0.00015096246,0.000003757647,0.000032523563,0.0005403151],"genre_scores_gemma":[0.9994794,9.620828e-7,0.0004549178,0.0000098980845,0.0000024134563,0.000029145023,0.000013479014,0.0000047052013,0.0000050456283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932194,0.000012161103,0.00018935816,0.00011163465,0.00025500153,0.00010991007],"domain_scores_gemma":[0.9997675,0.00003871508,0.00004507039,0.0001190683,0.000013874228,0.000015791402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018151072,0.000059626855,0.00012543707,0.00024689693,0.000045344677,0.000012462321,0.00015014171,0.000031348292,0.000010745486],"category_scores_gemma":[0.0000040100476,0.000046594352,0.000050267176,0.0030202297,0.00012430601,0.000033282256,0.000014559931,0.00003409357,0.0000019644667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010820421,0.000017729417,0.007684343,0.000006753359,0.000007093913,2.596506e-7,0.0002862279,0.68444926,0.3071442,0.00031654842,0.0000030730885,0.00008342023],"study_design_scores_gemma":[0.00010420464,0.000013656708,0.059603475,0.000011368264,0.000039847866,4.673065e-8,0.00063413806,0.4332609,0.50625277,0.000019358025,0.0000024175447,0.000057812424],"about_ca_topic_score_codex":0.00008862421,"about_ca_topic_score_gemma":0.00007070497,"teacher_disagreement_score":0.2511884,"about_ca_system_score_codex":0.000020569014,"about_ca_system_score_gemma":0.000020912967,"threshold_uncertainty_score":0.19000626},"labels":[],"label_agreement":null},{"id":"W4321789740","doi":"10.3390/app13052901","title":"Pulsed Thermography Dataset for Training Deep Learning Models","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Deep learning; Thermography; Artificial intelligence; Preprocessor; Computer science; Segmentation; Machine learning; Data pre-processing; Field (mathematics); Process (computing); Pattern recognition (psychology); Infrared","score_opus":0.06150658131897701,"score_gpt":0.2581299149224241,"score_spread":0.19662333360344708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321789740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32311034,0.0005397168,0.61971086,0.00008683137,0.0006050412,0.0017114186,0.0030794926,0.008102013,0.043054298],"genre_scores_gemma":[0.997039,0.0000413099,0.0023830459,0.000038809343,0.00004201262,0.00020831088,0.00022192819,0.00001903654,0.0000065436816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991325,0.000008234518,0.0001286553,0.00021830222,0.00015301508,0.000359296],"domain_scores_gemma":[0.9996314,0.0001698093,0.0000214145,0.0001199945,0.0000074830464,0.000049887734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657351,0.00011931712,0.00012291915,0.00023850595,0.0002891121,0.000062949046,0.00031048074,0.000054107306,0.00001682839],"category_scores_gemma":[0.000006682026,0.00010705813,0.000053511903,0.0009785376,0.0001506422,0.000115385454,0.00002118202,0.00010631362,0.000003592149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020221218,0.000015377927,0.0000554547,0.000102099795,0.00007542543,0.0000029254984,0.0063398173,0.61738515,0.16308558,0.024266023,0.005824995,0.18282694],"study_design_scores_gemma":[0.00027041268,0.00007996707,0.00020295435,0.000020696374,0.00002582322,0.0000020174452,0.0032260898,0.892914,0.012238377,0.08033878,0.010209119,0.0004717629],"about_ca_topic_score_codex":0.00000388773,"about_ca_topic_score_gemma":0.000004133508,"teacher_disagreement_score":0.6739287,"about_ca_system_score_codex":0.0000043427226,"about_ca_system_score_gemma":0.000007916413,"threshold_uncertainty_score":0.43657038},"labels":[],"label_agreement":null},{"id":"W4322587950","doi":"10.3390/app13053105","title":"Security Establishment in ADS-B by Format-Preserving Encryption and Blockchain Schemes","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Encryption; Blockchain; Computer security; Cryptography; Scheme (mathematics); Ciphertext; Cipher; Entropy (arrow of time); Advanced Encryption Standard; Theoretical computer science; Mathematics","score_opus":0.007469081308200654,"score_gpt":0.20484183305837877,"score_spread":0.19737275175017813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322587950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765187,0.00012978917,0.003356256,0.00013597427,0.00007485539,0.00018719996,0.0000016801811,0.00034533255,0.01925023],"genre_scores_gemma":[0.99916846,0.00014843534,0.00056667416,0.000020588834,0.000012768197,0.000028269065,0.000009315976,0.000004329401,0.00004117781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994223,0.000004535423,0.000104047744,0.00013136635,0.00015243034,0.00018532271],"domain_scores_gemma":[0.999872,0.00002430187,0.00001715938,0.000057080397,0.0000039710076,0.000025447991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036269458,0.00006570383,0.000061084764,0.00013677368,0.000086685686,0.00007173191,0.000121660305,0.000027174912,0.000022127178],"category_scores_gemma":[0.000008168958,0.00006331168,0.00000645578,0.00063454785,0.000045847446,0.00014199743,0.00006334246,0.000047133326,0.000010870495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006475472,0.000030608808,0.0047792783,0.00024040668,0.000013129415,0.0000020921582,0.0051648743,0.89823407,0.0034371368,0.022961833,0.04068722,0.02444287],"study_design_scores_gemma":[0.00015014778,0.000007693168,0.00046287998,0.000011317642,0.0000019220927,1.0906051e-7,0.0016331088,0.99283326,0.0007143189,0.0012332427,0.0028451101,0.000106878164],"about_ca_topic_score_codex":0.00000852565,"about_ca_topic_score_gemma":0.00002838759,"teacher_disagreement_score":0.094599195,"about_ca_system_score_codex":0.0000146833445,"about_ca_system_score_gemma":0.0000033342858,"threshold_uncertainty_score":0.25817752},"labels":[],"label_agreement":null},{"id":"W4322741930","doi":"10.3390/app13053145","title":"Analysis of Upstream Turbulence Impact on Wall Heat Transfer in an Acoustic Liner with Large-Eddy Simulations","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Grand Équipement National De Calcul Intensif","keywords":"Turbulence; Mechanics; Large eddy simulation; Heat transfer; Boundary layer; Jet (fluid); Scale (ratio); Physics","score_opus":0.012554977378736072,"score_gpt":0.2685555020355974,"score_spread":0.25600052465686135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322741930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865405,0.000006438272,0.012596894,0.000012898606,0.000029295335,0.00010081982,0.00007236439,0.00008529906,0.0005555112],"genre_scores_gemma":[0.99965745,0.0000117243,0.0002440756,0.000016477283,0.000012916559,0.00000831657,0.00003070709,0.0000108873555,0.0000074648415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909085,0.0000073757597,0.00016839901,0.00021417886,0.00025059402,0.000268606],"domain_scores_gemma":[0.9996048,0.00013534885,0.0000067804053,0.00018058474,0.00001933235,0.000053160165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023281993,0.00012204739,0.00020143234,0.00043422257,0.000072769886,0.000030579286,0.000212313,0.000042799704,0.000040795487],"category_scores_gemma":[0.000005796462,0.00008495932,0.00004214493,0.0027506934,0.000091121445,0.000071876886,0.000009680987,0.00009838368,0.0000051238603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057264524,0.00003290494,0.0059397365,0.0000064761393,0.00003951101,0.0000015732522,0.00036155916,0.9863704,0.0067919176,0.00032351268,0.0000042715496,0.0001224011],"study_design_scores_gemma":[0.000117629745,0.00007226055,0.023416948,0.000010166788,0.00007455426,1.03487096e-7,0.00017222471,0.9756718,0.00026383103,0.000085556785,0.0000018704709,0.00011300068],"about_ca_topic_score_codex":0.000027862534,"about_ca_topic_score_gemma":0.0008525481,"teacher_disagreement_score":0.017477212,"about_ca_system_score_codex":0.00002797007,"about_ca_system_score_gemma":0.000022819306,"threshold_uncertainty_score":0.34645405},"labels":[],"label_agreement":null},{"id":"W4322760659","doi":"10.3390/app13053165","title":"Deep Neural Network Modeling for CFD Simulations: Benchmarking the Fourier Neural Operator on the Lid-Driven Cavity Case","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Lakes Environmental (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Artificial neural network; Reynolds-averaged Navier–Stokes equations; Computer science; Hyperparameter; Benchmarking; Artificial intelligence; Deep learning; Fourier transform; Algorithm; Coherence (philosophical gambling strategy); Machine learning; Applied mathematics; Turbulence; Mathematics; Statistics; Physics; Mechanics; Mathematical analysis","score_opus":0.06419709443718544,"score_gpt":0.30272070368730947,"score_spread":0.23852360925012403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322760659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97719955,0.000018616398,0.01802237,0.002369058,0.00057917414,0.0006979129,0.000009529466,0.00005798894,0.0010457705],"genre_scores_gemma":[0.99739337,0.0000011853765,0.00032548074,0.0005876582,0.0014635767,0.00014986852,0.000011238414,0.0000111366335,0.000056495126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987828,0.00005615306,0.00019075963,0.00033243152,0.0002265916,0.00041124498],"domain_scores_gemma":[0.9990629,0.00054571853,0.0000691149,0.0002283965,0.000034262706,0.000059599126],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004812948,0.00014679454,0.000116680254,0.00003175738,0.0024566657,0.00024731897,0.00031387788,0.000027370364,0.00011764518],"category_scores_gemma":[0.0000078503035,0.00008019707,0.00008869049,0.000600369,0.0001635861,0.00011184541,0.0000851395,0.00019642175,0.00001506467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007596233,0.0000076334945,0.00019747893,8.726904e-7,0.00000797434,0.0000011472094,0.0002155507,0.96719307,0.00003706169,0.020129915,0.000821168,0.011380507],"study_design_scores_gemma":[0.00010383272,0.000023586585,0.000018080815,0.0000038920152,0.000012128582,0.0000029065445,0.0007475477,0.9938346,0.000029270952,0.0047563566,0.00035692757,0.00011087414],"about_ca_topic_score_codex":0.000033723238,"about_ca_topic_score_gemma":0.000027228249,"teacher_disagreement_score":0.026641501,"about_ca_system_score_codex":0.000008870046,"about_ca_system_score_gemma":0.000025661444,"threshold_uncertainty_score":0.998842},"labels":[],"label_agreement":null},{"id":"W4323317708","doi":"10.3390/app13053302","title":"Reconfigurable Terahertz Moiré Frequency Selective Surface Based on Additive Manufacturing Technology","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Terahertz technology and applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Terahertz radiation; Materials science; Polyethylene terephthalate; Optoelectronics; Substrate (aquarium); Inkwell; Moiré pattern; Grating; 3D printing; Optics; Composite material","score_opus":0.010758596673820783,"score_gpt":0.22349499601238831,"score_spread":0.21273639933856753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323317708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77694786,0.00003382894,0.0019736958,0.0013739051,0.00018341785,0.00047085813,0.000039610393,0.0048215026,0.21415535],"genre_scores_gemma":[0.9974993,0.000011615574,0.0020036988,0.00009681073,0.00001937929,0.0002101775,0.000012042852,0.000018423098,0.00012857499],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988867,0.000007730715,0.0001501179,0.00038268356,0.00014465093,0.00042810224],"domain_scores_gemma":[0.9995032,0.00015495576,0.000032288342,0.00025493646,0.000015554402,0.000039093087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017445393,0.00016769499,0.00014765964,0.00034588084,0.0003875237,0.00003402119,0.00043509394,0.00017798704,0.00012690893],"category_scores_gemma":[0.000014365816,0.00015734606,0.000027725138,0.001515278,0.00032804435,0.0000780062,0.00001885067,0.00029918863,0.00070529396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001652092,0.00012155214,0.0010948365,0.000045093744,0.00009516537,0.000025508123,0.0005411253,0.15215454,0.2673257,0.12446677,0.021178847,0.43293437],"study_design_scores_gemma":[0.00020302256,0.00006845778,0.0013702447,0.00002049021,0.0000067154724,0.0000028479644,0.0003953825,0.026111789,0.91410094,0.04179756,0.0155885955,0.00033392297],"about_ca_topic_score_codex":0.000007502364,"about_ca_topic_score_gemma":0.000017907132,"teacher_disagreement_score":0.6467753,"about_ca_system_score_codex":0.00005916523,"about_ca_system_score_gemma":0.00003114512,"threshold_uncertainty_score":0.90653616},"labels":[],"label_agreement":null},{"id":"W4323663847","doi":"10.3390/app13063455","title":"Radial and Oblique Impact Testing of Alpine Helmets onto Snow Surfaces","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Tillväxtverket; European Commission; Australian Government","keywords":"Snow; Oblique case; Alpine skiing; Environmental science; Drop (telecommunication); Meteorology; Physical geography; Engineering; Physics; Geography; Mechanical engineering","score_opus":0.03712346598290881,"score_gpt":0.321902927192388,"score_spread":0.28477946120947917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323663847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887822,0.00012050442,0.000008121599,0.00034740983,0.00008619603,0.00012659015,0.0000048360494,0.000048197748,0.010475936],"genre_scores_gemma":[0.9982552,0.000053829903,0.0012796043,0.00009269459,0.00008857573,0.0000044163617,0.0000030773415,0.0000045236147,0.0002180609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923813,0.0000040765526,0.00016211501,0.0001799543,0.00020964912,0.00020610026],"domain_scores_gemma":[0.9996162,0.00010862969,0.00007018074,0.00009992454,0.000028497423,0.000076575154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005375734,0.00008053735,0.00018603327,0.000108506974,0.00011238573,0.000022498585,0.000091510345,0.000028956763,0.000053449705],"category_scores_gemma":[0.000063981926,0.000054199245,0.000024139768,0.00066141994,0.00032962754,0.0000799619,0.000049349346,0.000061710045,0.000008900669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022998953,0.000079639314,0.7695136,0.00022864714,0.00006266748,0.000029072937,0.0031393766,0.0005286656,0.13523073,0.0026463985,0.0059019146,0.08240926],"study_design_scores_gemma":[0.0006637916,0.0009686754,0.94931436,0.00018154037,0.000027659218,0.000050717048,0.00082995126,0.005230419,0.039154995,0.00074359635,0.0026375614,0.00019674732],"about_ca_topic_score_codex":0.00025235218,"about_ca_topic_score_gemma":0.00003225529,"teacher_disagreement_score":0.1798007,"about_ca_system_score_codex":0.000009450684,"about_ca_system_score_gemma":0.000105901716,"threshold_uncertainty_score":0.2210181},"labels":[],"label_agreement":null},{"id":"W4323848216","doi":"10.3390/app13063496","title":"Bisphosphonates and Their Influence on the Implant Failure: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Bone health and treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scopus; Medicine; Osseointegration; MEDLINE; Dentistry; Implant failure; Implant; Web of science; Dental implant; Internal medicine; Surgery; Meta-analysis","score_opus":0.0706656130973529,"score_gpt":0.3560994932551702,"score_spread":0.2854338801578173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323848216","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003169916,0.9935841,1.8012001e-7,0.00079751544,0.000050967898,0.004924741,0.000021457716,0.00006347775,0.0005258933],"genre_scores_gemma":[0.00019120566,0.9958309,0.000018027169,0.0021804837,0.000010214148,0.0015472306,0.000011619833,0.000018643568,0.00019167615],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9981984,0.00008321371,0.0005807355,0.0004553652,0.0003446033,0.00033771756],"domain_scores_gemma":[0.9978632,0.0012002296,0.00035625199,0.00041279296,0.000022439697,0.00014513274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012331158,0.00034153034,0.0019187913,0.000095070805,0.00032446109,0.000051144736,0.0002868138,0.00009641794,0.000009508846],"category_scores_gemma":[0.00022128093,0.00012483024,0.0001436011,0.00091085647,0.00028295728,0.000023302015,0.00007137561,0.00025493116,0.00044018863],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015019025,0.000017509485,0.0000012294985,0.96634805,0.00010111075,0.000012984303,0.00004407231,1.6477179e-8,1.2808623e-7,0.0028372998,0.0010363942,0.029599726],"study_design_scores_gemma":[0.00009776828,0.00013284614,0.0000047554536,0.8810671,0.001172362,0.00029030617,0.00008530534,0.0000014907481,0.0000015066602,0.0002723205,0.116694316,0.00017993595],"about_ca_topic_score_codex":0.00004231539,"about_ca_topic_score_gemma":0.000017207645,"teacher_disagreement_score":0.115657926,"about_ca_system_score_codex":0.000042658867,"about_ca_system_score_gemma":0.00037168895,"threshold_uncertainty_score":0.5657881},"labels":[],"label_agreement":null},{"id":"W4324058432","doi":"10.3390/app13063640","title":"A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANET","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Vehicular ad hoc network; Markov decision process; Network congestion; Computer network; Transmission (telecommunications); Intelligent transportation system; Channel (broadcasting); Situation awareness; Flexibility (engineering); Traffic congestion; Network packet; Wireless ad hoc network; Distributed computing; Markov process; Wireless; Engineering; Artificial intelligence; Transport engineering; Telecommunications","score_opus":0.016919017836995662,"score_gpt":0.23257097250966563,"score_spread":0.21565195467266995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324058432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19844046,0.00043327757,0.76598424,0.0005119124,0.00023325901,0.0034283453,0.0000064741243,0.0018503319,0.029111678],"genre_scores_gemma":[0.9966108,0.000018422434,0.0026620778,0.00006394113,0.000023225117,0.00046825624,0.0001012415,0.000013080639,0.000038923008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909586,0.000027196567,0.00018582708,0.00017611173,0.0001967985,0.00031821476],"domain_scores_gemma":[0.99954,0.00020274342,0.000037299447,0.0001646416,0.000015415486,0.000039939485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011119583,0.00010089177,0.00013306586,0.00014267086,0.00015148192,0.00005376302,0.0002626127,0.000060169117,0.000007019179],"category_scores_gemma":[0.00002674555,0.000098920435,0.00002542734,0.00059760624,0.00010921809,0.000069297435,0.000018738976,0.00013969581,0.000023634775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008529246,0.000005958183,0.0001842699,0.000022478365,0.000004664528,1.9937737e-7,0.000090774556,0.9956217,0.0006430978,0.0019195327,0.00058499776,0.0009137939],"study_design_scores_gemma":[0.0006899143,0.00003401327,0.0006279652,0.000011636998,0.0000056564813,3.193823e-7,0.00015495547,0.9960146,0.00024951735,0.00017780792,0.0019136183,0.00012000342],"about_ca_topic_score_codex":0.000012173313,"about_ca_topic_score_gemma":0.000027313214,"teacher_disagreement_score":0.7981704,"about_ca_system_score_codex":0.000051842093,"about_ca_system_score_gemma":0.000025517853,"threshold_uncertainty_score":0.40338582},"labels":[],"label_agreement":null},{"id":"W4324059065","doi":"10.3390/app13063625","title":"Enhanced µCT Imaging Protocol to Enable High-Resolution 3D Visualization of Microdamage in Rat Vertebrae","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Voxel; Biomedical engineering; Visualization; Materials science; Image quality; Image resolution; Nuclear medicine; Medicine; Artificial intelligence; Computer science","score_opus":0.009646604797271738,"score_gpt":0.2727982242331091,"score_spread":0.26315161943583737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324059065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60185254,0.000033455457,0.33178598,0.00013103627,0.0005891814,0.03348384,0.0000069010657,0.0012647777,0.030852303],"genre_scores_gemma":[0.9902053,0.000002232945,0.002995791,0.00004386171,0.000029078637,0.0066659586,0.000004148599,0.000013482285,0.00004017535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990418,0.000011546464,0.00021790144,0.000220645,0.00019305175,0.00031507478],"domain_scores_gemma":[0.99976075,0.00003337844,0.000034412627,0.00011374858,0.000020007867,0.000037679158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368365,0.00010429591,0.00012902131,0.00028126026,0.000103698636,0.000036089907,0.00019269212,0.000021592661,0.000025921154],"category_scores_gemma":[0.000021419079,0.00010370149,0.000014283185,0.0016735051,0.00007952991,0.00026874527,0.00005024628,0.0000569684,0.00008070658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070525402,0.0000096368385,0.00016074955,0.000052284755,0.0000012232179,9.0455484e-7,0.00059754774,0.21599077,0.77528584,0.0018896937,0.00018006178,0.005824247],"study_design_scores_gemma":[0.00037654425,0.000018842118,0.0006387391,0.000067326066,0.0000021208432,4.268746e-7,0.000616756,0.10090494,0.8943968,0.0015068927,0.0012800066,0.00019064307],"about_ca_topic_score_codex":0.000020964262,"about_ca_topic_score_gemma":0.00002130489,"teacher_disagreement_score":0.38835275,"about_ca_system_score_codex":0.00004483001,"about_ca_system_score_gemma":0.000023101282,"threshold_uncertainty_score":0.4228824},"labels":[],"label_agreement":null},{"id":"W4327599133","doi":"10.3390/app13063770","title":"FSopt_k: Finding the Optimal Anonymization Level for a Social Network Graph","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Graph; k-anonymity; Privacy protection; Theoretical computer science; Social graph; Anonymity; Information loss; Computer security; Social media; World Wide Web; Artificial intelligence","score_opus":0.12392654016940213,"score_gpt":0.3244650942543809,"score_spread":0.20053855408497878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327599133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014846621,0.000029724579,0.9488638,0.032428537,0.00054743275,0.00045359763,0.000014830905,0.0011530088,0.0016624489],"genre_scores_gemma":[0.5847275,0.000013576412,0.41429716,0.00048252798,0.00021161659,0.00019835774,0.000010806969,0.000008210999,0.00005024207],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831426,0.000025192521,0.00017541571,0.0005169023,0.00040261023,0.0005656084],"domain_scores_gemma":[0.99795276,0.00046573518,0.00011202695,0.001414086,0.00003101172,0.000024406138],"candidate_categories":["sts","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0018809345,0.00011550914,0.00011418241,0.00013824769,0.0018257411,0.00042523103,0.019924728,0.000066424764,0.0000032403736],"category_scores_gemma":[0.0014698448,0.000082942315,0.00004801584,0.0033356466,0.00048292338,0.00039028883,0.018758714,0.00011599883,0.000032286105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045649567,0.000011664856,0.000247609,0.000008104369,0.000013097902,0.0000011547252,0.000396182,0.0049374523,0.0006199024,0.39604566,0.5656623,0.03205227],"study_design_scores_gemma":[0.00015172664,0.000031941632,0.0015448295,0.0000063414564,0.000004235562,0.0000015639785,0.00020064959,0.31195703,0.0011095819,0.68136466,0.0034441345,0.0001832895],"about_ca_topic_score_codex":0.000005135501,"about_ca_topic_score_gemma":0.0000066808952,"teacher_disagreement_score":0.5698809,"about_ca_system_score_codex":0.000021859483,"about_ca_system_score_gemma":0.000082162915,"threshold_uncertainty_score":0.99947375},"labels":[],"label_agreement":null},{"id":"W4327623588","doi":"10.3390/app13063785","title":"Temperature- and Frequency-Dependent Nonlinearities of an Integrated Hydro-Pneumatic Suspension with Mixed Gas-Oil Emulsion Flow","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"University of Science and Technology Beijing; Concordia University; Basic Public Welfare Research Program of Zhejiang Province; National Natural Science Foundation of China","keywords":"Materials science; Suspension (topology); Emulsion; Polytropic process; Mechanics; Volume fraction; Stiffness; Composite material; Thermodynamics; Chemistry; Physics","score_opus":0.011797680085789736,"score_gpt":0.21325566606910287,"score_spread":0.20145798598331313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327623588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952784,0.00009331788,0.00014906762,0.000036747584,0.00018960964,0.00012993604,0.000010072059,0.00025981714,0.0038530198],"genre_scores_gemma":[0.9972612,0.000061531005,0.00250617,0.000012196672,0.000030274836,0.000023731864,0.000022812375,0.000016836595,0.000065233304],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987896,0.000032282718,0.00028098523,0.00024240672,0.00040427572,0.00025046163],"domain_scores_gemma":[0.9995377,0.000105507075,0.000048412123,0.0001902655,0.000032358956,0.00008573105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047747153,0.00016878059,0.0002760435,0.00016880016,0.00015601052,0.00008229105,0.00020538717,0.00007715824,0.000019621804],"category_scores_gemma":[0.000017116883,0.00011497056,0.000017033673,0.0006594862,0.00022608004,0.00015575388,0.000027896036,0.00011404971,0.000023773573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002929337,0.000069892485,0.0008459165,0.0009471434,0.00007504926,0.00003463895,0.009167247,0.17156042,0.7730049,0.0015711079,0.00050851767,0.042185865],"study_design_scores_gemma":[0.00071424537,0.00028922697,0.0013904468,0.00056462747,0.000028050661,0.00006437476,0.013877618,0.9037252,0.077750884,0.0009807028,0.00008337164,0.0005312546],"about_ca_topic_score_codex":0.0001254331,"about_ca_topic_score_gemma":0.00030619223,"teacher_disagreement_score":0.7321648,"about_ca_system_score_codex":0.000016457314,"about_ca_system_score_gemma":0.000030438378,"threshold_uncertainty_score":0.4688363},"labels":[],"label_agreement":null},{"id":"W4361007366","doi":"10.3390/app13074178","title":"Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tornado; Computer science; Leverage (statistics); Context (archaeology); Search and rescue; Intersection (aeronautics); Engineering; Geography; Meteorology; Transport engineering; Artificial intelligence; Archaeology","score_opus":0.13746075705298064,"score_gpt":0.33571835659676913,"score_spread":0.1982575995437885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361007366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307936,0.00001049874,0.0002056961,0.0022100052,0.00021618063,0.00031023743,0.00009348587,0.000019443656,0.0038550864],"genre_scores_gemma":[0.99488676,8.798198e-7,0.0039164955,0.0010426483,0.0000588373,0.0000027510143,0.000045187182,0.0000015875951,0.000044873057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984351,0.00012986752,0.0002984904,0.0003848616,0.0004354896,0.0003161906],"domain_scores_gemma":[0.99875534,0.00076911296,0.000058177564,0.00029629306,0.000020644136,0.00010041639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969354,0.000094671275,0.00018013813,0.0003227613,0.00026858496,0.00009294459,0.0010608791,0.00003609018,0.00013124276],"category_scores_gemma":[0.00016738607,0.000056290748,0.000021454958,0.00191682,0.000108995686,0.00015661785,0.000113268514,0.00008306156,0.00005173289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010524048,0.00020387016,0.38459882,0.000039010258,0.000041976673,0.000042257045,0.016535481,0.32453966,0.13197304,0.07821674,0.002273385,0.06048336],"study_design_scores_gemma":[0.00042337633,0.00062315195,0.8396706,0.00002174865,0.000017935903,0.0000018390767,0.009491228,0.13843463,0.00005920292,0.0047811316,0.0061204587,0.00035470896],"about_ca_topic_score_codex":0.0010825174,"about_ca_topic_score_gemma":0.0026334873,"teacher_disagreement_score":0.45507178,"about_ca_system_score_codex":0.000024603174,"about_ca_system_score_gemma":0.000081777354,"threshold_uncertainty_score":0.22954701},"labels":[],"label_agreement":null},{"id":"W4361213773","doi":"10.3390/app13074253","title":"Flexible-Imaging-Fiber-Guided Intratracheal Intubation in Rodents","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Research Foundation of Korea; National Institute of Environmental Research; Ministry of Education, India; Ministry of Environment; Korea University; National Research Foundation","keywords":"Intubation; Medicine; Intratracheal instillation; Drug; Lung; Anesthesia; Pharmacology; Biomedical engineering; Internal medicine; Bronchoalveolar lavage","score_opus":0.05128469752088876,"score_gpt":0.33994242247029244,"score_spread":0.28865772494940367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361213773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90313643,0.000022495331,0.00006986728,0.0013233684,0.00017289723,0.00025100776,8.095466e-7,0.00017454523,0.094848596],"genre_scores_gemma":[0.99753696,0.000008942491,0.00022512136,0.0008713599,0.000102961974,0.000021334256,0.000009573679,0.000006116289,0.0012176189],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988892,0.000019073723,0.00022543452,0.0002561536,0.0003745491,0.00023560172],"domain_scores_gemma":[0.9997099,0.000038741313,0.000047004905,0.00010644786,0.00003210918,0.00006579977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072014844,0.0000794609,0.00012003619,0.00037814854,0.00013238228,0.000037918733,0.00010531421,0.000041358966,0.00026448793],"category_scores_gemma":[0.0000333466,0.00006474112,0.000025095975,0.0013259504,0.00018169201,0.00010372443,0.000033255565,0.00011420597,0.0010763059],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022633858,0.0006028938,0.1744855,0.00030176225,0.000044929744,0.0002102387,0.008160657,0.0096059,0.20945272,0.029861186,0.07423039,0.4928175],"study_design_scores_gemma":[0.012026256,0.0007768796,0.5436172,0.0004892715,0.00012078552,0.00015103,0.016483316,0.118536115,0.24607466,0.0077213943,0.05207831,0.0019247677],"about_ca_topic_score_codex":0.000017742686,"about_ca_topic_score_gemma":0.000007465467,"teacher_disagreement_score":0.4908927,"about_ca_system_score_codex":0.00003489845,"about_ca_system_score_gemma":0.00012684756,"threshold_uncertainty_score":0.9997015},"labels":[],"label_agreement":null},{"id":"W4361275775","doi":"10.3390/app13074337","title":"Considerations for Developing Robot-Assisted Crisis De-Escalation Practices","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; York University","funders":"","keywords":"Robot; Leverage (statistics); Computer science; Computer security; Task (project management); Human–computer interaction; Order (exchange); Business; Engineering; Artificial intelligence; Systems engineering; Finance","score_opus":0.13200011279261803,"score_gpt":0.3664267835128175,"score_spread":0.23442667072019946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361275775","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055061737,0.000007007316,0.97643524,0.0138443215,0.000066988425,0.00035443314,0.000001542921,0.0007646333,0.0030196758],"genre_scores_gemma":[0.6131669,0.0000073267674,0.3858876,0.00050116726,0.00002695127,0.00035248714,0.0000015396149,0.0000029091996,0.000053103504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990099,0.000019651725,0.00018676887,0.00036711618,0.00017722539,0.00023930737],"domain_scores_gemma":[0.9989531,0.0005061534,0.00022026149,0.00020313935,0.00007534415,0.000042000054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079726457,0.00007771147,0.00008210008,0.00017257914,0.0010977128,0.00038794783,0.0003716083,0.00004785845,0.0000052414057],"category_scores_gemma":[0.00014411061,0.00007243723,0.00003455085,0.0013383756,0.000078550795,0.00039949294,0.000090598944,0.000051041745,0.000044341683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.2389664e-7,0.000012446116,0.000083637184,0.000006010099,0.000004872901,3.195752e-7,0.00028787454,0.00039715006,0.012983653,0.9648691,0.008036553,0.013317564],"study_design_scores_gemma":[0.00027462855,0.0001017947,0.018901808,0.000013706849,0.00001875952,0.000030730895,0.0012667283,0.15584074,0.10190064,0.70138043,0.019741245,0.00052876765],"about_ca_topic_score_codex":0.000017773496,"about_ca_topic_score_gemma":0.000027418133,"teacher_disagreement_score":0.6076608,"about_ca_system_score_codex":0.00003743969,"about_ca_system_score_gemma":0.000204566,"threshold_uncertainty_score":0.84428304},"labels":[],"label_agreement":null},{"id":"W4362581558","doi":"10.3390/app13074491","title":"Diagnosis, Follow-Up and Therapy for Secondary Osteoporosis in Vulnerable Children: A Narrative Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Medicine; Osteoporosis; Context (archaeology); Gold standard (test); Dual energy; Pediatrics; Bone mineral; Physical therapy; Intensive care medicine; Radiology; Internal medicine","score_opus":0.09645299158570991,"score_gpt":0.4203758571430804,"score_spread":0.3239228655573705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362581558","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031508927,0.98811144,3.9141796e-7,0.0009233489,0.00014735764,0.009287066,0.00008124667,0.00005542678,0.0010786449],"genre_scores_gemma":[0.000034492114,0.9880275,0.00024193506,0.0015933422,0.00013091254,0.009151232,0.00017612914,0.00004875163,0.000595711],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965191,0.00018963328,0.00089524715,0.0010184554,0.0005904933,0.00078707095],"domain_scores_gemma":[0.99775,0.0012180174,0.00030064868,0.00035026172,0.00007066843,0.00031040426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037634945,0.00043400528,0.0024318874,0.00044126966,0.0005661292,0.000076331045,0.00035310184,0.0002709907,0.00013318533],"category_scores_gemma":[0.00035426515,0.00029158022,0.00028215945,0.0018709402,0.00044385894,0.000092202004,0.00010870574,0.0008164831,0.00004818295],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002297316,0.000051761785,0.00009548686,0.0388696,0.000043364806,0.0000026330667,0.00030641977,1.8447427e-8,4.985771e-7,0.00007852465,0.015059336,0.9454694],"study_design_scores_gemma":[0.0017999881,0.0005999113,0.00020952254,0.04553125,0.00017689247,0.00003182545,0.0003947154,0.0000013967772,0.0000074038057,0.00018404264,0.9506691,0.00039397096],"about_ca_topic_score_codex":0.00014432233,"about_ca_topic_score_gemma":0.00017045201,"teacher_disagreement_score":0.9450754,"about_ca_system_score_codex":0.00008521756,"about_ca_system_score_gemma":0.0019542484,"threshold_uncertainty_score":0.9999536},"labels":[],"label_agreement":null},{"id":"W4362588213","doi":"10.3390/app13074489","title":"MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Zernike polynomials; Pattern recognition (psychology); Artificial intelligence; Particle swarm optimization; Computer science; Algorithm; Physics; Optics","score_opus":0.019993395447162974,"score_gpt":0.30415053003786185,"score_spread":0.28415713459069886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362588213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744956,0.000035779656,0.023061428,0.00060274114,0.0000951742,0.0006691811,0.000004455935,0.00007154194,0.00096411776],"genre_scores_gemma":[0.9971584,0.000105376006,0.0021735614,0.0001409028,0.00002516279,0.00003896355,0.000014463996,0.0000048915767,0.00033824093],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900603,0.000030746476,0.000117978525,0.00022499666,0.00038734698,0.0002328827],"domain_scores_gemma":[0.99971753,0.000059473216,0.00003961229,0.00007444439,0.0000441402,0.00006477945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084324606,0.00006584072,0.00009027531,0.0000751637,0.00040589127,0.00006771444,0.00006625562,0.00002525334,0.00004183652],"category_scores_gemma":[0.000024080868,0.00004146321,0.000018480368,0.0005742625,0.0004731342,0.00010873305,0.00008277291,0.000063482556,0.000019909063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020746414,0.0008550504,0.14167787,0.00036960217,0.0004766974,0.00004942641,0.00684443,0.026151745,0.42652726,0.0015864794,0.00084381143,0.39254296],"study_design_scores_gemma":[0.0020991424,0.00011962085,0.011385786,0.000012790895,0.000043157845,0.000004977759,0.0014265459,0.9798585,0.0048549213,0.00010804091,0.0000418975,0.000044605247],"about_ca_topic_score_codex":0.000027139502,"about_ca_topic_score_gemma":7.433094e-7,"teacher_disagreement_score":0.95370674,"about_ca_system_score_codex":0.000030393647,"about_ca_system_score_gemma":0.00005008416,"threshold_uncertainty_score":0.31218284},"labels":[],"label_agreement":null},{"id":"W4362699500","doi":"10.3390/app13084660","title":"A Versatile Resilience Packet Ring Protocol Model for Homogeneous Networks","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"Computer network; Computer science; Packet loss; Network packet; Wireless network; Wireless","score_opus":0.045943711909204786,"score_gpt":0.31391078648046966,"score_spread":0.2679670745712649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362699500","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00083303236,0.0000042762217,0.88376075,0.00021795472,0.0001050957,0.10974598,0.0000026376722,0.0004935411,0.0048367484],"genre_scores_gemma":[0.40387857,0.0000016195651,0.044156756,0.00028397428,0.0001546612,0.5512395,0.0000015122997,0.000012954736,0.00027044315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977288,0.000025632826,0.00027188868,0.0007570354,0.00044850208,0.000768103],"domain_scores_gemma":[0.9989356,0.000280267,0.00012658293,0.0004840246,0.000046554036,0.0001269762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012807276,0.00018223935,0.00019166319,0.00012827548,0.0008304535,0.0004485057,0.0018579542,0.00008155306,0.000005191854],"category_scores_gemma":[0.000023424775,0.00015173046,0.000068269655,0.001668336,0.00023796312,0.00034119887,0.0004182758,0.00011361769,0.000041028197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019099218,0.000019432162,0.00007858439,0.000024494184,0.0000036705396,0.0000029960474,0.0004454859,0.8720428,0.00030599057,0.07915784,0.0047194203,0.04318019],"study_design_scores_gemma":[0.00033579062,0.000089189925,0.000065959204,0.000022745679,0.0000015089776,0.0000021632272,0.000039186878,0.9781971,0.0006347792,0.017898064,0.0024934812,0.00022003999],"about_ca_topic_score_codex":0.000005325352,"about_ca_topic_score_gemma":0.000014522429,"teacher_disagreement_score":0.83960396,"about_ca_system_score_codex":0.000025473106,"about_ca_system_score_gemma":0.00018090328,"threshold_uncertainty_score":0.63872606},"labels":[],"label_agreement":null},{"id":"W4364379315","doi":"10.3390/app13084757","title":"In-Service Performance Evaluation of Flexible Pavement with Lightweight Cellular Concrete Subbase","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Subbase; Stiffness; Pavement engineering; Geotechnical engineering; Civil engineering; Engineering; Structural engineering; Environmental science; Materials science; Asphalt; Composite material; Mathematics","score_opus":0.02102656775869188,"score_gpt":0.23836432339591662,"score_spread":0.21733775563722474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364379315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874149,0.00004956949,0.00012340232,0.000027739037,0.00025672655,0.00017302252,7.573795e-7,0.00006752653,0.011886346],"genre_scores_gemma":[0.9992949,0.000010121633,0.0005252551,0.000026207596,0.00005365511,0.000054835316,0.0000022555544,0.0000066218076,0.000026142865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990801,0.0000054257443,0.00013063094,0.00013487718,0.00042579247,0.00022316787],"domain_scores_gemma":[0.9997753,0.000016793116,0.000027338956,0.000106944455,0.000050865616,0.000022771594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006899619,0.00007938291,0.00009139766,0.00012848151,0.00006011773,0.000014403151,0.00014208253,0.00002362897,0.000037824484],"category_scores_gemma":[0.0000017863298,0.000060104674,0.000008274328,0.0009475721,0.000055398225,0.00012691358,0.0000148496565,0.00005390414,0.00002884174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018868119,0.000004206308,0.006639914,0.00017776381,0.000024410176,0.0000049856058,0.004354486,0.52290136,0.4509406,0.006514357,0.00031629432,0.008102744],"study_design_scores_gemma":[0.00040236439,0.00004284445,0.0071976287,0.000056648387,0.0000132403775,5.7651414e-7,0.001112161,0.08864903,0.901633,0.0002973403,0.00044578844,0.00014937624],"about_ca_topic_score_codex":0.000014822287,"about_ca_topic_score_gemma":0.000009232282,"teacher_disagreement_score":0.45069242,"about_ca_system_score_codex":0.000037012356,"about_ca_system_score_gemma":0.000041655247,"threshold_uncertainty_score":0.24509975},"labels":[],"label_agreement":null},{"id":"W4365516988","doi":"10.3390/app13084916","title":"Variations in Gold Nanoparticle Size on DNA Damage: A Monte Carlo Study Based on a Multiple-Particle Model Using Electron Beams","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Toronto Metropolitan University","funders":"","keywords":"DNA damage; Monte Carlo method; DNA; Electron; Colloidal gold; Materials science; Double strand; Biophysics; Chemistry; Nanotechnology; Nanoparticle; Physics; Biology; Nuclear physics; Biochemistry; Statistics; Mathematics","score_opus":0.042394107103074646,"score_gpt":0.3202635850603141,"score_spread":0.2778694779572395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365516988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977671,0.000005447232,0.00009712005,0.0006659273,0.0000400171,0.0006672006,0.000003017817,0.00011013822,0.000644031],"genre_scores_gemma":[0.9983584,6.3531525e-7,0.0004292198,0.00096931943,0.000028737424,0.00008106273,9.77068e-7,0.000011523788,0.00012012074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985215,0.000052243064,0.00022782141,0.00036614528,0.00047207545,0.00036023348],"domain_scores_gemma":[0.9990851,0.00050194,0.000057980273,0.00023990724,0.000020270305,0.00009478549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008328602,0.00011703013,0.00017215265,0.00018866522,0.00021329147,0.000050294584,0.00012868551,0.00003849485,0.000013507234],"category_scores_gemma":[0.00022928033,0.00009845921,0.0000333311,0.0019067951,0.0000784153,0.00009313704,0.000016256769,0.00012563863,0.000038297352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027491062,0.0007770791,0.038904574,0.000004265486,0.000009676223,0.0000067630453,0.0015335545,0.69107777,0.26643318,0.00065464387,0.000058274058,0.00026530912],"study_design_scores_gemma":[0.0020537851,0.00053709844,0.07070091,0.00001158819,0.000015984553,2.712546e-7,0.0006070493,0.8833091,0.042480674,0.0001806679,0.0000043814753,0.00009843202],"about_ca_topic_score_codex":0.00009720608,"about_ca_topic_score_gemma":0.000059360078,"teacher_disagreement_score":0.22395249,"about_ca_system_score_codex":0.00009193548,"about_ca_system_score_gemma":0.00015634629,"threshold_uncertainty_score":0.401505},"labels":[],"label_agreement":null},{"id":"W4366089059","doi":"10.3390/app13085012","title":"Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Hyperparameter; Kyphosis; Support vector machine; Artificial intelligence; Naive Bayes classifier; Machine learning; Computer science; Random forest; Cross-validation; Logistic regression; Artificial neural network; Statistics; Medicine; Mathematics; Surgery","score_opus":0.026779136213000175,"score_gpt":0.2826946303811358,"score_spread":0.25591549416813564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366089059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215898,0.0003258538,0.07726488,0.000053304906,0.00003949925,0.00008770176,0.000010816464,0.00017673805,0.00045141455],"genre_scores_gemma":[0.99897826,0.00006133994,0.00087078224,0.0000095772075,0.000012672175,0.000027280717,0.000017489136,0.0000029748437,0.000019607367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942166,0.000010033476,0.00011896374,0.00015500974,0.00016085514,0.00013346282],"domain_scores_gemma":[0.9996737,0.00015668871,0.000021229644,0.000051993396,0.000015450854,0.00008091395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029911075,0.00006454615,0.00019885664,0.0003238412,0.00014624868,0.0000267482,0.00007540377,0.000014177482,0.000016118449],"category_scores_gemma":[0.00002653404,0.00005316797,0.000059126272,0.0019305539,0.00013656718,0.00004073936,0.000015059858,0.00004623512,0.0000028178401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011496582,0.000026931533,0.019146252,0.00012906229,0.001022695,0.0000010677956,0.002934006,0.70210147,0.048661612,0.0003361148,0.00005399548,0.2255753],"study_design_scores_gemma":[0.00008416054,0.000007952786,0.0108699715,0.0000029913572,0.00032437316,3.1992897e-8,0.0005519594,0.9848103,0.0030873264,0.00010391293,0.000092476366,0.000064541506],"about_ca_topic_score_codex":0.000023266512,"about_ca_topic_score_gemma":0.000022684539,"teacher_disagreement_score":0.28270885,"about_ca_system_score_codex":0.0000059442164,"about_ca_system_score_gemma":0.0000043700834,"threshold_uncertainty_score":0.21681269},"labels":[],"label_agreement":null},{"id":"W4366090357","doi":"10.3390/app13085002","title":"Effectiveness of Fiber Optic Distributed Acoustic Sensing (DAS) in Vertical Seismic Profiling (VSP) Field Survey","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wireline; Distributed acoustic sensing; Vertical seismic profile; Casing; Geology; Inflatable; Attenuation; Tiltmeter; Coiled tubing; Fiber optic sensor; Acoustics; Optical fiber; Engineering; Seismology; Petroleum engineering; Telecommunications; Mechanical engineering; Wireless; Optics","score_opus":0.01850118931936271,"score_gpt":0.2722185076869328,"score_spread":0.25371731836757005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366090357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97654223,0.000017654733,0.022221033,0.000008353431,0.00017052179,0.00023423908,0.000010044839,0.0001961569,0.0005997449],"genre_scores_gemma":[0.997011,0.000003240965,0.0029233983,0.000004543469,0.000011573795,0.000008775533,0.000016307416,0.00001638846,0.000004740311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987837,0.000057277743,0.00024205823,0.00027369626,0.000243822,0.00039943185],"domain_scores_gemma":[0.9975178,0.0022307453,0.000018407685,0.00015696442,0.000025282796,0.00005077058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009909562,0.00013815182,0.00024457028,0.00015682165,0.000061773615,0.000021341215,0.00017036905,0.000080171354,0.000006827288],"category_scores_gemma":[0.00032693183,0.00013230216,0.000026006579,0.0015515286,0.00016414405,0.000077712975,0.000052694628,0.00016570732,0.00005367278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019435678,0.000008130595,0.0011483367,0.00012195014,0.000008012672,0.000008527095,0.00007233002,0.9402956,0.05747684,0.00024334666,0.000012240761,0.00058525417],"study_design_scores_gemma":[0.00031152877,0.00004286711,0.040479567,0.00011334139,0.0000096452795,0.000004699908,0.00024981963,0.79232246,0.16534895,0.0008711017,0.0000031937159,0.00024283929],"about_ca_topic_score_codex":0.000028338432,"about_ca_topic_score_gemma":0.00001288629,"teacher_disagreement_score":0.14797315,"about_ca_system_score_codex":0.00005459626,"about_ca_system_score_gemma":0.000029973353,"threshold_uncertainty_score":0.5395125},"labels":[],"label_agreement":null},{"id":"W4366090521","doi":"10.3390/app13084970","title":"Using Machine Learning to Explore the Risk Factors of Problematic Smartphone Use among Canadian Adolescents during COVID-19: The Important Role of Fear of Missing Out (FoMO)","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Anxiety; Coronavirus disease 2019 (COVID-19); Clinical psychology; Medicine; Psychiatry","score_opus":0.07408266119000158,"score_gpt":0.3262256485138352,"score_spread":0.2521429873238336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366090521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982789,0.000036989542,0.00002770825,0.00061443663,0.00009689823,0.00069780677,0.000015704756,0.00007052515,0.0001610416],"genre_scores_gemma":[0.9995773,0.000024813175,0.00028021194,0.00004946643,0.000014748238,0.000008216192,0.0000012019494,0.000013699262,0.000030347455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974451,0.00023066913,0.0005302603,0.00029679635,0.0008490128,0.0006481769],"domain_scores_gemma":[0.9983971,0.00023166029,0.0006967599,0.00030800875,0.00006218372,0.00030428806],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002887541,0.00016653945,0.0003193976,0.00038552846,0.0023511695,0.0000897151,0.0010774846,0.00010365576,0.00002000341],"category_scores_gemma":[0.0019158171,0.00010538097,0.00008469922,0.0018643688,0.002097939,0.0001840222,0.00018470029,0.00028885025,0.0000038114429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000097461925,0.000022255936,0.9345213,0.000055687186,0.000017977956,0.0000017292826,0.047298614,0.0026665328,0.01505648,0.00014776191,0.000011548113,0.00019034575],"study_design_scores_gemma":[0.00036012378,0.000059118393,0.7805518,0.00037600633,0.00006799229,0.0000013458024,0.18374594,0.00385903,0.028089155,0.0025193647,0.0000733411,0.0002968158],"about_ca_topic_score_codex":0.29596248,"about_ca_topic_score_gemma":0.14170468,"teacher_disagreement_score":0.15425779,"about_ca_system_score_codex":0.00016597565,"about_ca_system_score_gemma":0.0007225492,"threshold_uncertainty_score":0.9989476},"labels":[],"label_agreement":null},{"id":"W4366774570","doi":"10.3390/app13085176","title":"Non-Compliance Distalization Appliances Supported by Mini-Implants: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Molar; Medicine; Dentistry; Cochrane Library; Orthodontics; Malocclusion; Maxillary molar; Randomized controlled trial; Surgery","score_opus":0.11321501329910526,"score_gpt":0.3909559119256987,"score_spread":0.2777408986265934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366774570","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000035958208,0.9872714,0.00084319746,0.000012012902,0.0008958763,0.0043545375,0.0006210862,0.00022894403,0.005769335],"genre_scores_gemma":[0.000020240916,0.9932584,0.000121975594,0.00019723663,0.00013577417,0.0013020794,0.00078691036,0.000080366626,0.004096992],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944593,0.00012924106,0.0020909866,0.0012042896,0.00139882,0.0007173948],"domain_scores_gemma":[0.99673253,0.0003482399,0.0018308338,0.00078682415,0.00008337819,0.00021819682],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020283957,0.0007219198,0.0037245618,0.0002106265,0.0004726335,0.00046780956,0.0015129965,0.00031599097,0.00011916274],"category_scores_gemma":[0.00020042396,0.0005323849,0.0005208477,0.0026412152,0.00038317326,0.00016742418,0.00024727717,0.00030879246,0.003908533],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.03671e-7,0.00003630663,0.000020932554,0.9667381,0.00011576859,0.00004460797,0.000015391715,1.7986613e-7,9.605202e-7,0.00080695876,0.023969883,0.008250088],"study_design_scores_gemma":[0.00010017026,0.00002483359,0.000003234577,0.48933375,0.002217292,0.000082104205,0.00005233353,0.000020698237,0.0000017392186,0.000053617463,0.5072879,0.0008222982],"about_ca_topic_score_codex":0.000028409206,"about_ca_topic_score_gemma":0.000050215953,"teacher_disagreement_score":0.48331806,"about_ca_system_score_codex":0.0000761048,"about_ca_system_score_gemma":0.00032608167,"threshold_uncertainty_score":0.99971277},"labels":[],"label_agreement":null},{"id":"W4366827206","doi":"10.3390/app13095278","title":"Electronic Atlas of Climatic Changes in the Western Russian Arctic in 1950–2021 as Geoinformatic Support of Railway Development","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Arctic; Geospatial analysis; Physical geography; Russian federation; Environmental resource management; Geography; Meteorology; Environmental science; Regional science; Cartography; Geology; Oceanography","score_opus":0.033491699021251216,"score_gpt":0.25699014377094337,"score_spread":0.22349844474969216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366827206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98475957,0.00007105154,7.7854537e-7,0.0008242681,0.000057747264,0.00029021915,0.000025123652,0.000007688954,0.0139635485],"genre_scores_gemma":[0.9992222,0.00019574931,0.000033375534,0.0002970392,0.000016996848,0.000013573487,0.00016396919,0.0000019296847,0.000055151464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983382,0.000043201962,0.0004127762,0.00018879611,0.00049143104,0.00052557164],"domain_scores_gemma":[0.9993278,0.00031539553,0.00015564059,0.00015360529,0.000008596245,0.00003899106],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019013233,0.0001215993,0.00023955232,0.00034390515,0.00010123026,0.000039541184,0.00052562525,0.000042212858,0.0012044049],"category_scores_gemma":[0.000018304807,0.00007819876,0.000026149324,0.0015556082,0.00023771908,0.00013509562,0.000030431656,0.000116630385,0.00041881978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002834453,0.000043607102,0.9442603,0.00033758327,0.000008618815,0.000011728042,0.040449522,0.0005604879,0.00034987237,0.0009080274,0.00009662262,0.012945277],"study_design_scores_gemma":[0.00037256157,0.0002572709,0.9799062,0.000103690494,0.000007771957,0.000013981266,0.0137835285,0.0010902698,0.0010207394,0.001487447,0.0017435653,0.00021297192],"about_ca_topic_score_codex":0.0015320362,"about_ca_topic_score_gemma":0.0947332,"teacher_disagreement_score":0.09320116,"about_ca_system_score_codex":0.000008735546,"about_ca_system_score_gemma":0.00019027702,"threshold_uncertainty_score":0.99970865},"labels":[],"label_agreement":null},{"id":"W4366987038","doi":"10.3390/app13095339","title":"Development of Equipment for Ski Mountaineering, a New Olympic Event","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Mountaineering; Climbing; Aeronautics; Popularity; Engineering; Geography; Psychology","score_opus":0.03847002486936495,"score_gpt":0.32466399727391787,"score_spread":0.2861939724045529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366987038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919594,0.00006923644,0.0055452753,0.00045466484,0.0002375736,0.0003915208,0.0000015703239,0.00006259254,0.0040416205],"genre_scores_gemma":[0.9814392,0.0000093577455,0.017102685,0.00012776605,0.00009179205,0.000082284714,0.0000045598795,0.0000054574666,0.0011369385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990698,6.5769495e-7,0.00022771185,0.00016235485,0.00032631808,0.00021313575],"domain_scores_gemma":[0.9997402,0.000012235239,0.000058289384,0.00009686786,0.000022924962,0.000069488866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464331,0.000070783455,0.00013805357,0.000094665476,0.00010056281,0.000011662439,0.00011894835,0.00002051264,0.00006278807],"category_scores_gemma":[0.000007881148,0.00005308733,0.000032873402,0.0003059833,0.000068203146,0.000029162346,0.000052457726,0.00002603174,0.000023130455],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064064394,0.00037942227,0.010498705,0.0015236671,0.0002592159,0.000014841281,0.029057093,0.0016726726,0.15829198,0.074720524,0.07853964,0.6444016],"study_design_scores_gemma":[0.0019316714,0.0006052397,0.041778132,0.000326899,0.00004476478,0.000011957485,0.0032275592,0.004172355,0.20102985,0.0013360911,0.7451474,0.0003880543],"about_ca_topic_score_codex":0.0000074274058,"about_ca_topic_score_gemma":0.000006283843,"teacher_disagreement_score":0.6666078,"about_ca_system_score_codex":0.000037600596,"about_ca_system_score_gemma":0.00035298208,"threshold_uncertainty_score":0.21648385},"labels":[],"label_agreement":null},{"id":"W4367052795","doi":"10.3390/app13095381","title":"STEAM Education and the Innovative Pedagogies in the Intelligence Era","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Engineering ethics; Pedagogy; Political science; Mathematics education; Psychology; Engineering","score_opus":0.04525932670580616,"score_gpt":0.3362232034624637,"score_spread":0.2909638767566575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367052795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8402173,0.00072726654,0.091189474,0.03998263,0.0007243782,0.0008184704,2.5422852e-7,0.00053226354,0.025807947],"genre_scores_gemma":[0.99368566,0.000017664564,0.0055872337,0.00052725413,0.000028747758,0.00006379146,2.9447486e-7,0.0000013977128,0.000087949775],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9990105,0.00020821705,0.00011357467,0.00023842393,0.0002501922,0.00017911059],"domain_scores_gemma":[0.9987296,0.0009917406,0.00005449243,0.00019266522,0.00002029992,0.0000111988575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005273695,0.00006114552,0.0000630579,0.000121296325,0.0007207527,0.00042901596,0.0010863,0.000016002665,6.633075e-7],"category_scores_gemma":[0.00022374092,0.000030069132,0.00000932096,0.002672694,0.00054473104,0.00017351963,0.00017388121,0.00031403554,0.000021343702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.623283e-7,0.0000074617137,0.00025898105,0.0000014651815,6.0006727e-7,1.6072573e-7,0.04056982,0.00013948343,0.000008139308,0.43379772,0.000098574485,0.52511674],"study_design_scores_gemma":[0.00059828686,0.00022251862,0.09053024,0.00009997605,0.000007816057,0.000043557622,0.531073,0.038384695,0.0005399268,0.24487606,0.09292089,0.000703059],"about_ca_topic_score_codex":0.000104136845,"about_ca_topic_score_gemma":0.000017966931,"teacher_disagreement_score":0.5244137,"about_ca_system_score_codex":0.000006632544,"about_ca_system_score_gemma":0.00012142691,"threshold_uncertainty_score":0.554352},"labels":[],"label_agreement":null},{"id":"W4367310779","doi":"10.3390/app13095504","title":"A Systematic Literature Review of Reliable Provisioning for Virtual Network Function Chaining","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College","funders":"Mitacs","keywords":"Provisioning; Chaining; Computer science; Virtual network; Virtualization; Distributed computing; Computer network; Cloud computing; Operating system","score_opus":0.017456204483268168,"score_gpt":0.2519188468834019,"score_spread":0.2344626424001337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367310779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001151453,0.07611783,0.91212946,0.0009544611,0.0023080239,0.002954408,0.0000034621567,0.0009913272,0.0033895914],"genre_scores_gemma":[0.76736045,0.0236492,0.19434234,0.008362384,0.0016512489,0.0029301187,0.0000592368,0.00007458805,0.0015704117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833363,0.000033072065,0.0004103108,0.00042695034,0.00041970125,0.00037631404],"domain_scores_gemma":[0.998658,0.00060500327,0.00026454826,0.0003289753,0.00009269851,0.0000508028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030682152,0.00012440496,0.00033818843,0.00011105082,0.000409517,0.0001789035,0.0007120141,0.000052699772,0.000002269693],"category_scores_gemma":[0.00018160103,0.000089207766,0.000078714365,0.0034928732,0.000066150686,0.00026962525,0.00017451363,0.000084506195,0.000017226075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016601825,0.000028196693,0.000109020264,0.06973119,0.00004121336,0.0000036573274,0.0011423107,0.021081189,0.00019956644,0.850426,0.04243592,0.014785096],"study_design_scores_gemma":[0.0007562055,0.0012472159,0.00026366918,0.39043736,0.0001070847,0.000024037332,0.00046755376,0.55585885,0.00021023725,0.044919547,0.004827333,0.0008809002],"about_ca_topic_score_codex":8.7269234e-7,"about_ca_topic_score_gemma":4.933711e-7,"teacher_disagreement_score":0.80550647,"about_ca_system_score_codex":0.000010900542,"about_ca_system_score_gemma":0.00007551315,"threshold_uncertainty_score":0.36377874},"labels":[],"label_agreement":null},{"id":"W4367626136","doi":"10.3390/app13095545","title":"A New Macroscopic Traffic Flow Characterization Incorporating Traffic Emissions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Hail","keywords":"Traffic congestion reconstruction with Kerner's three-phase theory; Traffic flow (computer networking); Traffic congestion; Traffic bottleneck; Greenhouse gas; Traffic generation model; Environmental science; Presumption; Traffic optimization; Computer science; Transport engineering; Floating car data; Engineering; Real-time computing; Computer network","score_opus":0.013118514487496917,"score_gpt":0.2208180810696284,"score_spread":0.20769956658213148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367626136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795818,0.000033643602,0.011221804,0.00038057525,0.0006485181,0.00033844166,0.000005761708,0.002142571,0.0056468877],"genre_scores_gemma":[0.9968098,0.000018134857,0.0024410486,0.00004538689,0.00012604706,0.000039725855,0.000027255237,0.000013427965,0.00047921608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908835,0.000006062923,0.00017748281,0.00022619098,0.00021596797,0.00028594834],"domain_scores_gemma":[0.9997273,0.000030112922,0.000028019696,0.00011192951,0.0000058438523,0.000096807955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001999076,0.0001210733,0.000121311394,0.00015053856,0.0002926968,0.00011500725,0.00022246054,0.000037688977,0.00006906064],"category_scores_gemma":[0.000006435685,0.0001082267,0.000028255998,0.001032303,0.000044830493,0.00010879849,0.00003429787,0.00007214565,0.00020172494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011019933,0.000004733736,0.0000051466354,0.000016235717,0.0000059895838,0.0000017339826,0.0004018935,0.6057771,0.029694228,0.0007242916,0.0017355938,0.361632],"study_design_scores_gemma":[0.00043453122,0.00003046593,0.0043525454,0.00003142052,0.000015014848,0.0000011395967,0.00049015053,0.9816208,0.0005447072,0.00014516583,0.012040752,0.00029331096],"about_ca_topic_score_codex":0.0000013463783,"about_ca_topic_score_gemma":0.000016315467,"teacher_disagreement_score":0.37584373,"about_ca_system_score_codex":0.000018678174,"about_ca_system_score_gemma":0.00004118407,"threshold_uncertainty_score":0.44133565},"labels":[],"label_agreement":null},{"id":"W4376138664","doi":"10.3390/app13105908","title":"Reducing Lumbar Flexion in a Repetitive Lifting Task: Comparison of Leukotape and Kinesio Tape and Their Effect on Lumbar Proprioception","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Lumbar; Proprioception; Trunk; Physical medicine and rehabilitation; Medicine; Sagittal plane; Reduction (mathematics); Physical therapy; Surgery; Anatomy; Mathematics","score_opus":0.019336454389695657,"score_gpt":0.31500930778346803,"score_spread":0.29567285339377236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376138664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646807,0.00009513727,0.00001561852,0.00031378822,0.000049688726,0.00065850007,6.7357456e-7,0.000043816635,0.0023547066],"genre_scores_gemma":[0.99960876,0.000034764867,0.00021042104,0.000036291065,0.00004084317,0.00003579064,0.0000058354017,0.000006494419,0.000020776633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890107,0.00007676352,0.0002507781,0.0003697599,0.00022890548,0.00017274402],"domain_scores_gemma":[0.9994828,0.00024153027,0.00010114697,0.00010261328,0.000020064927,0.000051849584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013465412,0.000110344554,0.00027676809,0.00023913199,0.00013444328,0.000017596989,0.00004456587,0.00006105467,0.000004502815],"category_scores_gemma":[0.00027155,0.000073717914,0.000027549515,0.0006775088,0.00040253936,0.000058713405,0.000038417646,0.0001234596,0.0000046950454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006277407,0.00005133698,0.04416089,0.00057700416,0.0000056041576,6.1772005e-7,0.0049285116,0.00009050598,0.89095885,0.0006486217,0.000016841053,0.058498472],"study_design_scores_gemma":[0.00079296576,0.0017561843,0.9384946,0.00074265315,0.0000110922,0.0000017571706,0.005219455,0.0075841392,0.04487373,0.00038546533,0.000012580228,0.00012535792],"about_ca_topic_score_codex":0.000041949872,"about_ca_topic_score_gemma":0.0000190972,"teacher_disagreement_score":0.8943337,"about_ca_system_score_codex":0.000019381276,"about_ca_system_score_gemma":0.000033505406,"threshold_uncertainty_score":0.30061293},"labels":[],"label_agreement":null},{"id":"W4376138748","doi":"10.3390/app13105906","title":"Predicting Maximum Effective Temperatures and Thermal Gradients for Steel I-Girder in Canadian Climate Regions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Temperature gradient; Thermal; Materials science; Finite element method; Parametric statistics; Structural engineering; Meteorology; Engineering; Mathematics; Geography; Statistics","score_opus":0.008704291758654809,"score_gpt":0.22746699626959718,"score_spread":0.21876270451094237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376138748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995671,0.000047436733,0.000005964373,0.00006520063,0.00035767315,0.0007277237,0.000035776986,0.00019847517,0.00289079],"genre_scores_gemma":[0.9993994,0.0000115113635,0.00015228188,0.000044808003,0.000054412645,0.00030617265,0.000006665627,0.000017194234,0.0000075105786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998996,0.000020371515,0.00011741653,0.00022997735,0.000093003204,0.0005432374],"domain_scores_gemma":[0.99953854,0.0002531758,0.000015985364,0.00008323162,0.000008609824,0.00010044711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007728082,0.00011500597,0.00013875053,0.00022410382,0.00024038822,0.000114717026,0.00013846769,0.000051117073,0.0000034539821],"category_scores_gemma":[0.000049434082,0.000101243575,0.0000148779,0.00042761062,0.00011086978,0.000091349044,0.000028708806,0.00006432345,0.000011921894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000763272,0.0000149387315,0.09631418,0.0010106195,0.00010102004,0.000069001464,0.009065549,0.032134697,0.8088804,0.0340813,0.002723384,0.0155285755],"study_design_scores_gemma":[0.0033350578,0.00046083625,0.5718395,0.0004212316,0.00006051408,0.000027293956,0.0026911562,0.32328096,0.0865462,0.0054947343,0.003986594,0.0018559032],"about_ca_topic_score_codex":0.0029212334,"about_ca_topic_score_gemma":0.015080457,"teacher_disagreement_score":0.7223342,"about_ca_system_score_codex":0.000046117628,"about_ca_system_score_gemma":0.00002953816,"threshold_uncertainty_score":0.84152484},"labels":[],"label_agreement":null},{"id":"W4376273823","doi":"10.3390/app13105957","title":"Prevalence of Root Canal Treatments among Diabetic Patients: Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Educación y Formación Profesional","keywords":"Medicine; Root canal; Dentistry; Pulp necrosis; Meta-analysis; Periodontitis; Periapical periodontitis; Endodontics; Randomized controlled trial; Diabetes mellitus; MEDLINE; Systematic review; Internal medicine","score_opus":0.04327055710598742,"score_gpt":0.2995354016200602,"score_spread":0.2562648445140728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376273823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823509,0.013194097,0.0000089624,0.00005338757,0.000047417616,0.0012637519,0.00018880716,0.000043505494,0.002849208],"genre_scores_gemma":[0.99640113,0.00032237484,0.00005331181,0.000048711372,0.0000025108611,0.00021506514,0.00001223115,0.000005504673,0.0029391455],"study_design_codex":"observational","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9982136,0.0000792515,0.00046725298,0.0003962831,0.0005995333,0.00024407875],"domain_scores_gemma":[0.9990413,0.00016965797,0.00032033434,0.0003161887,0.000059865546,0.00009262695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433001,0.00017028935,0.0010808959,0.00020585732,0.00016619122,0.000044447974,0.0002942813,0.000031059928,0.00019911847],"category_scores_gemma":[0.00006907688,0.00010304447,0.00030710569,0.0015810314,0.00023096305,0.000084287305,0.00008235693,0.000037807822,0.0000494284],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034636244,0.00027669748,0.7697596,0.110191196,0.1164771,0.00002527615,0.0001850335,0.00014004792,0.00003584944,0.0023746532,0.0005065495,0.000024566196],"study_design_scores_gemma":[0.00024272356,0.00007135373,0.36139822,0.0004056092,0.6371719,8.7572374e-7,0.00005589079,0.000098781864,0.00018863537,0.00017413576,0.0000017139272,0.00019013183],"about_ca_topic_score_codex":0.00022778752,"about_ca_topic_score_gemma":0.00049986935,"teacher_disagreement_score":0.52069485,"about_ca_system_score_codex":0.000025145051,"about_ca_system_score_gemma":0.00002088583,"threshold_uncertainty_score":0.42020315},"labels":[],"label_agreement":null},{"id":"W4376321273","doi":"10.3390/app13084875","title":"Rheological, Spectroscopic, and Chemical Characterization of Asphalt Binders Modified with Phase Change Materials, Polymers, and Glass Powder","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphalt; Materials science; Rheology; Differential scanning calorimetry; Composite material; Polymer","score_opus":0.03868931840042736,"score_gpt":0.2681204949922879,"score_spread":0.22943117659186055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376321273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986921,0.000032765114,0.00030397388,0.00011956604,0.00006943623,0.0002684296,0.000007051021,0.00010781587,0.00039884544],"genre_scores_gemma":[0.9994794,0.00013784108,0.00019400065,0.00003622688,0.0000424006,0.00005538882,0.0000371982,0.0000072664966,0.000010250404],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928015,0.0000073052474,0.0001382436,0.00018133514,0.00020240851,0.00019057681],"domain_scores_gemma":[0.99980766,0.000016627288,0.00004712077,0.00007991443,0.000009073984,0.00003960077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023549568,0.00009864847,0.00013050974,0.00009418973,0.00007096263,0.00003579544,0.000091849084,0.000043738142,0.000058684156],"category_scores_gemma":[0.0000040969544,0.0000767621,0.0000046418,0.00033148564,0.0002504563,0.00019916496,0.000039708375,0.000034426674,0.0000054912034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001541368,0.000009532225,0.00054616365,0.00003987287,0.000005670734,3.1349362e-7,0.0003010562,0.000021442112,0.9967963,0.0009947371,0.0000065517556,0.0012629495],"study_design_scores_gemma":[0.0008448419,0.0001384283,0.013028532,0.00002120507,0.000014142176,0.0000014151396,0.0002191142,0.019922858,0.96550137,0.0001347893,0.000020524147,0.00015277773],"about_ca_topic_score_codex":0.0000041026287,"about_ca_topic_score_gemma":7.4121766e-7,"teacher_disagreement_score":0.031294927,"about_ca_system_score_codex":0.000010412247,"about_ca_system_score_gemma":0.00001050397,"threshold_uncertainty_score":0.31302676},"labels":[],"label_agreement":null},{"id":"W4376611294","doi":"10.3390/app13106027","title":"Detection and Analysis of Ethereum Energy Smart Contracts","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Smart contract; Computer science; Database transaction; Blockchain; Domain (mathematical analysis); Computer security; Database","score_opus":0.013757445931127694,"score_gpt":0.23887703664859927,"score_spread":0.2251195907174716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376611294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.738189,0.000080661535,0.25643554,0.00076352595,0.000049904378,0.00006864566,0.0000018146658,0.00029647243,0.004114434],"genre_scores_gemma":[0.9978031,0.000032784083,0.0020303663,0.00008317169,0.000003826887,0.000026988013,6.541211e-7,0.000001187687,0.00001790277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992842,0.000013178079,0.0001240096,0.00028515566,0.00014841116,0.00014502539],"domain_scores_gemma":[0.9995066,0.00012543447,0.000072436946,0.00024362475,0.000022923392,0.000028965733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051764114,0.00005344024,0.00012795463,0.00044375632,0.00020252101,0.000035349964,0.00044696327,0.000060217437,0.000002757309],"category_scores_gemma":[0.000011778505,0.000045609846,0.000026968859,0.0043782433,0.00031775952,0.00006601431,0.00013260863,0.000045258148,0.0000040991936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.166428e-7,0.000015732414,0.00075852196,0.0000014777435,0.000048405873,3.880355e-7,0.00022424405,0.00013716565,0.02600229,0.8687583,0.000026610494,0.104025915],"study_design_scores_gemma":[0.00020214,0.00008592103,0.07114573,0.000003042066,0.00009729469,0.0000031315544,0.00031991402,0.6632486,0.105100036,0.15497945,0.004556665,0.0002580921],"about_ca_topic_score_codex":0.000075255884,"about_ca_topic_score_gemma":0.0001644519,"teacher_disagreement_score":0.71377885,"about_ca_system_score_codex":0.000004431125,"about_ca_system_score_gemma":0.000017048895,"threshold_uncertainty_score":0.21036008},"labels":[],"label_agreement":null},{"id":"W4377108108","doi":"10.3390/app13106135","title":"Detection and Characterization of Artificial Porosity and Impact Damage in Aerospace Carbon Fiber Composites by Pulsed and Line Scan Thermography","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fédération Wallonie-Bruxelles","keywords":"Thermography; Nondestructive testing; Materials science; Aerospace; Composite material; Composite number; Infrared; Optics; Engineering; Aerospace engineering","score_opus":0.007105423183662079,"score_gpt":0.21520353838304102,"score_spread":0.20809811519937893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377108108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992913,0.000060333427,0.0001820978,0.000007782328,0.000015447045,0.00014854029,0.000050171086,0.00011343011,0.00013088185],"genre_scores_gemma":[0.9998416,0.000083829924,0.000039049413,0.0000032578992,0.0000074519535,0.000009863573,0.000007786798,0.0000055517685,0.0000016296116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957323,0.00001061419,0.00009819468,0.00013208449,0.000073362164,0.00011250592],"domain_scores_gemma":[0.9998592,0.000035451976,0.000027462664,0.000042111587,0.0000057860148,0.000029986722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021109894,0.00007971351,0.000105018305,0.0001750052,0.000060646784,0.00003465126,0.00003648768,0.000045374138,0.0000024008914],"category_scores_gemma":[0.0000017535252,0.00007001821,0.000010290499,0.00061840325,0.00019728606,0.00005913693,0.000015983926,0.000053674557,3.9644966e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009787034,0.0000052360356,0.008473502,0.000017438277,0.0000037398904,1.6221779e-7,0.0002710022,0.000054513544,0.9827785,0.000010148938,0.0000011335933,0.008374874],"study_design_scores_gemma":[0.000079844875,0.00006292305,0.4286784,0.000013888532,0.0000065868753,7.7446674e-7,0.00007588839,0.018756965,0.5519817,0.00024509514,0.0000026203877,0.00009531475],"about_ca_topic_score_codex":0.000121491204,"about_ca_topic_score_gemma":0.00006556868,"teacher_disagreement_score":0.43079677,"about_ca_system_score_codex":0.0000040170503,"about_ca_system_score_gemma":0.000002754642,"threshold_uncertainty_score":0.285526},"labels":[],"label_agreement":null},{"id":"W4377240922","doi":"10.3390/app13106273","title":"Day and Night: Locating the General Practitioner’s Panel after Hours","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nova scotia; Primary care; Medicine; Operations research; Computer science; Operations management; Geography; Family medicine; Mathematics; Engineering","score_opus":0.05127805443844842,"score_gpt":0.2598000312290356,"score_spread":0.2085219767905872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377240922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92102146,0.0000531108,0.00042109785,0.012209461,0.0004906839,0.0003095988,0.0000011128425,0.00021629469,0.065277174],"genre_scores_gemma":[0.9953934,0.000019022049,0.00009174436,0.0032098258,0.0003158775,0.00009684736,0.000007470729,0.0000050187905,0.00086077244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99906874,0.0000074606774,0.00014049729,0.00026423286,0.0002930136,0.00022606962],"domain_scores_gemma":[0.9997496,0.00002751203,0.000043326236,0.00014191442,0.000028574586,0.000009060098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010920401,0.00008940783,0.000064782726,0.00012799492,0.0005918607,0.0003495603,0.00022322108,0.000018825987,0.0001867128],"category_scores_gemma":[0.00004355177,0.00005892265,0.000019119492,0.0009601519,0.00022673202,0.00046362376,0.00018618129,0.000056191948,0.0008081947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033039785,0.00012119851,0.041773118,0.0002602065,0.00006215381,0.000010560503,0.0024966134,0.019907026,0.0020398372,0.7432864,0.11123772,0.078772135],"study_design_scores_gemma":[0.0004991996,0.000015505411,0.5090391,0.000036787005,0.000079495425,0.0000014367124,0.013573965,0.12287909,0.00016095374,0.02315106,0.32975727,0.00080611405],"about_ca_topic_score_codex":0.00033419766,"about_ca_topic_score_gemma":0.0002686984,"teacher_disagreement_score":0.72013533,"about_ca_system_score_codex":0.00000642156,"about_ca_system_score_gemma":0.000010845914,"threshold_uncertainty_score":0.9999698},"labels":[],"label_agreement":null},{"id":"W4378087396","doi":"10.3390/app13106342","title":"VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Anhui Provincial Key Research and Development Plan; National Key Research and Development Program of China; Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Initialization; Cluster analysis; Computer science; Subspace topology; Fuzzy clustering; Data mining; Pattern recognition (psychology); Correlation clustering; Algorithm; Artificial intelligence; Fuzzy logic","score_opus":0.04843435855030365,"score_gpt":0.31999287265577925,"score_spread":0.2715585141054756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378087396","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002437109,0.00005035298,0.9749071,0.0040581655,0.0004734029,0.0003864281,0.000008676337,0.0010576867,0.016621077],"genre_scores_gemma":[0.07693704,0.000087803244,0.9196597,0.00072335964,0.0002530825,0.00020916932,0.0000055507608,0.000033669367,0.0020906671],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99618274,0.00003785696,0.0002849085,0.001081286,0.0013270739,0.0010861284],"domain_scores_gemma":[0.99850255,0.00031161756,0.00010048629,0.0007472918,0.00008720831,0.00025082994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001252437,0.00024310796,0.00026185825,0.00044323085,0.0007417726,0.00044880676,0.00311907,0.000078460725,0.000014390977],"category_scores_gemma":[0.00006938929,0.0002128048,0.00007464713,0.004798206,0.0005755863,0.00065591256,0.001401592,0.00028591932,0.0012523946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068600793,0.00015955514,0.00008384945,0.000047921338,0.000037793554,0.00008987837,0.0033688548,0.031251967,0.048825156,0.21528165,0.004001438,0.69684505],"study_design_scores_gemma":[0.00051693537,0.00013330953,0.00078593846,0.000028152963,0.0000035120113,0.000038965194,0.00055469543,0.9630873,0.004591187,0.017102502,0.012623853,0.00053361384],"about_ca_topic_score_codex":0.00003156327,"about_ca_topic_score_gemma":0.000016964266,"teacher_disagreement_score":0.93183535,"about_ca_system_score_codex":0.00007799427,"about_ca_system_score_gemma":0.00021415408,"threshold_uncertainty_score":0.99952525},"labels":[],"label_agreement":null},{"id":"W4378576131","doi":"10.3390/app13116497","title":"Federated Reinforcement Learning in IoT: Applications, Opportunities and Open Challenges","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Reinforcement learning; Internet of Things; Computer science; Sustainability; Open research; Automation; Field (mathematics); Industrial Internet; Computer security; World Wide Web; Engineering; Artificial intelligence","score_opus":0.1626758843475256,"score_gpt":0.32764233580456475,"score_spread":0.16496645145703914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378576131","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059978694,0.0044387206,0.18281424,0.4134315,0.00041771715,0.0048810774,0.000006333962,0.00821675,0.32581496],"genre_scores_gemma":[0.9629019,0.004348567,0.031792935,0.0002317698,0.000013006202,0.00050435716,0.0000071136174,0.0000064035326,0.00019398401],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857926,0.00003247835,0.00020297735,0.0005618797,0.00028570625,0.00033768048],"domain_scores_gemma":[0.9985723,0.0001845713,0.000085463435,0.0010914968,0.000019311256,0.000046862864],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0016263705,0.000109367895,0.00014322846,0.0002933871,0.00050126656,0.000790427,0.013766414,0.000055847795,0.0000053842746],"category_scores_gemma":[0.00062032894,0.00009919396,0.0000076270517,0.0011442123,0.000316254,0.0006047842,0.052794036,0.00014664159,0.000040045707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025624379,0.000017808734,0.00022545029,0.000027233666,0.0000063438047,0.000009130278,0.00039678032,0.00044384142,0.00056771585,0.42477852,0.006916559,0.5666081],"study_design_scores_gemma":[0.0005783162,0.00015507765,0.0030200074,0.00007183772,0.0000030737663,0.000010835522,0.010597574,0.43158117,0.0030826232,0.47799096,0.07225039,0.00065815635],"about_ca_topic_score_codex":0.000044593773,"about_ca_topic_score_gemma":0.00003124822,"teacher_disagreement_score":0.90292317,"about_ca_system_score_codex":0.000026496553,"about_ca_system_score_gemma":0.00010340486,"threshold_uncertainty_score":0.9915696},"labels":[],"label_agreement":null},{"id":"W4379231690","doi":"10.3390/app13116746","title":"The Role of AI in Warehouse Digital Twins: Literature Review","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Supply chain; Computer science; Production (economics); Process management; Maturity (psychological); Supply chain management; Data science; Risk analysis (engineering); Operations management; Business; Engineering; Marketing","score_opus":0.011529078434345424,"score_gpt":0.23376115532218936,"score_spread":0.22223207688784394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379231690","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07876982,0.021170624,0.000049935894,0.00090032245,0.00030777729,0.00056985865,0.000046130444,0.00062383036,0.8975617],"genre_scores_gemma":[0.99749815,0.002315749,0.000013416158,0.00006781843,0.000012709149,0.000029691686,0.0000042540246,0.0000052346227,0.0000529754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939805,0.000002663457,0.00018288982,0.00007333618,0.00019090468,0.00015213847],"domain_scores_gemma":[0.99978334,0.00007123072,0.000014096617,0.00010009107,0.000010815114,0.000020448524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022727635,0.000058761234,0.000078114026,0.000061201456,0.000047317008,0.00014598298,0.00027055194,0.00002901067,0.0000030153928],"category_scores_gemma":[0.000017359049,0.0000390008,0.000020583673,0.0013412648,0.00011150632,0.00038199258,0.000017961802,0.000115204944,0.00006918007],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008266667,0.00005478834,0.0033479843,0.002309903,0.00003987104,0.000010389991,0.005224708,0.043693416,0.0024358546,0.23210213,0.039449595,0.6713231],"study_design_scores_gemma":[0.00060343515,0.00008391698,0.004574108,0.007567321,0.000014692651,0.000020519343,0.008202824,0.012518653,0.020030536,0.082373604,0.8629619,0.0010485199],"about_ca_topic_score_codex":3.7377967e-7,"about_ca_topic_score_gemma":0.0000016065101,"teacher_disagreement_score":0.91872835,"about_ca_system_score_codex":0.000007990984,"about_ca_system_score_gemma":0.000014416831,"threshold_uncertainty_score":0.15904064},"labels":[],"label_agreement":null},{"id":"W4380083527","doi":"10.3390/app13126976","title":"Automatic COVID-19 Detection from Cough Sounds Using Multi-Headed Convolutional Neural Networks","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Respiratory and Cough-Related Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Speech recognition; Pattern recognition (psychology); Machine learning; Disease; Medicine; Infectious disease (medical specialty); Pathology","score_opus":0.164164413726917,"score_gpt":0.39163468912987043,"score_spread":0.22747027540295342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380083527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98356396,0.00018477855,0.014384577,0.00039788813,0.00032226898,0.00037025363,0.0000047461194,0.0003107473,0.00046076166],"genre_scores_gemma":[0.99811906,0.000008829355,0.0005444288,0.0009377253,0.00021906506,0.000038616752,0.000016200824,0.000010493621,0.00010557619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812496,0.00007599314,0.00025347612,0.0004176829,0.0006847211,0.00044318475],"domain_scores_gemma":[0.99908423,0.0003519949,0.00007590555,0.00017691517,0.000043659526,0.00026726304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009157003,0.00012973808,0.00019794492,0.00019958572,0.0009074,0.00008537012,0.0001963028,0.00014254298,0.00024887518],"category_scores_gemma":[0.00016310131,0.000104873114,0.00005935959,0.0015254983,0.0007087748,0.00011962626,0.00006995964,0.00032605138,0.00011520392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005593634,0.0003700882,0.02836939,0.00020652256,0.00027490425,0.0002757921,0.0030042708,0.48768446,0.42879793,0.0019184008,0.002161274,0.046377618],"study_design_scores_gemma":[0.0009790668,0.00008301611,0.011558938,0.000015843703,0.000029828012,0.000018244036,0.0009911855,0.98422515,0.001075143,0.00048166464,0.00041759483,0.00012433027],"about_ca_topic_score_codex":0.0001941497,"about_ca_topic_score_gemma":0.000042203657,"teacher_disagreement_score":0.4965407,"about_ca_system_score_codex":0.00013500317,"about_ca_system_score_gemma":0.00039968884,"threshold_uncertainty_score":0.69790787},"labels":[],"label_agreement":null},{"id":"W4380324549","doi":"10.3390/app13127030","title":"A Percentile Method to Determine Cold Days and Spells in Bangladesh","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Extreme Cold; Cold weather; Percentile; Maximum temperature; Cold winter; Geography; Climatology; Mathematics; Meteorology; Statistics","score_opus":0.03887927696895243,"score_gpt":0.29094869358765124,"score_spread":0.2520694166186988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380324549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95699674,0.0000025386996,0.0004990263,0.0004293135,0.000035974077,0.0002632367,0.000004551926,0.000030641164,0.041737955],"genre_scores_gemma":[0.9859208,0.0000071524855,0.013095701,0.00042155158,0.000010549392,0.000015945088,8.2121767e-7,0.0000040545087,0.00052346714],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887574,0.000026269954,0.00013262696,0.00042441522,0.00023455461,0.00030637695],"domain_scores_gemma":[0.9995994,0.00015690338,0.00001876736,0.00012669757,0.0000013100379,0.00009693735],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013577958,0.00007925102,0.00010962818,0.00007454767,0.00009774871,0.00005406185,0.00022988259,0.000032853626,0.0007892013],"category_scores_gemma":[0.000018457933,0.00006833146,0.000013602234,0.00094927,0.0002275198,0.00010532691,0.00032347205,0.000050511775,0.0014468781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021552489,0.000117967196,0.047362477,0.00002455463,0.0000027153458,0.000015106079,0.006513616,0.029964661,0.8824891,0.0087954495,0.004212745,0.020480042],"study_design_scores_gemma":[0.0019660776,0.00052782975,0.35715663,0.00008618562,0.000035265355,0.000025273259,0.0068409797,0.40303093,0.08622784,0.046466764,0.09567367,0.0019625656],"about_ca_topic_score_codex":0.00021710178,"about_ca_topic_score_gemma":0.00034124602,"teacher_disagreement_score":0.79626125,"about_ca_system_score_codex":0.000035279438,"about_ca_system_score_gemma":0.0000076780125,"threshold_uncertainty_score":0.99933064},"labels":[],"label_agreement":null},{"id":"W4380324561","doi":"10.3390/app13127037","title":"Cognitive Computing with a Big Data System in a Secure Internet of Things","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Big data; Computer science; Internet of Things; Cognitive computing; The Internet; Internet privacy; Cognition; World Wide Web; Computer security; Data science; Psychology; Data mining","score_opus":0.0685787369157393,"score_gpt":0.27828260266690286,"score_spread":0.20970386575116357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380324561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43636703,0.0000674985,0.54975855,0.0000949437,0.0002806663,0.00025538288,0.0000032509406,0.00033383048,0.012838806],"genre_scores_gemma":[0.994814,0.0000022727404,0.004981944,0.00011101089,0.000057934147,0.0000048425745,0.0000070401275,0.0000051988454,0.000015782609],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998193,0.0000584415,0.00024906496,0.00071130414,0.00042452317,0.0003636629],"domain_scores_gemma":[0.9987187,0.0006674987,0.00016364717,0.00033142942,0.00006895875,0.000049789545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017845372,0.00013005923,0.00022110605,0.00028105837,0.00012861897,0.00014063758,0.0018552743,0.00003869933,6.126872e-7],"category_scores_gemma":[0.00004166281,0.00009995432,0.000016790282,0.0030240873,0.00029107108,0.00023188244,0.0014899874,0.00016798428,0.000023511762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055681332,0.00011154447,0.009308739,0.00020849731,0.00005713627,0.00012402907,0.023500044,0.0013602319,0.00033266825,0.08964088,0.0009373328,0.87436324],"study_design_scores_gemma":[0.0004651334,0.00011175948,0.0038478074,0.00084340444,0.0000065846984,0.000019749003,0.0032578944,0.9901069,0.00063000235,0.0004502969,0.000052951968,0.00020752838],"about_ca_topic_score_codex":0.00009306491,"about_ca_topic_score_gemma":0.00003677542,"teacher_disagreement_score":0.98874664,"about_ca_system_score_codex":0.000015861715,"about_ca_system_score_gemma":0.000118071555,"threshold_uncertainty_score":0.40760186},"labels":[],"label_agreement":null},{"id":"W4380484899","doi":"10.3390/app13127052","title":"Progress of Machine Vision Technologies in Intelligent Dairy Farming","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Science Foundation of Inner Mongolia; China Scholarship Council; Inner Mongolia Agricultural University; National Natural Science Foundation of China","keywords":"Artificial intelligence; Dairy cattle; Machine vision; Lameness; Engineering; Computer science; Medicine; Animal science; Biology","score_opus":0.01741032876590411,"score_gpt":0.25756906099203686,"score_spread":0.24015873222613274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380484899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972966,0.000246271,0.0000010630231,0.000774056,0.00003542564,0.00024471834,0.000005675453,0.00015021094,0.0012460094],"genre_scores_gemma":[0.9995761,0.000068292575,0.00026374517,0.000013014335,0.000009648053,0.000036102643,0.0000067361257,5.070466e-7,0.000025853236],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989908,0.000018614272,0.00017543747,0.00029034176,0.0002759399,0.00024887535],"domain_scores_gemma":[0.9996569,0.00019186508,0.00007776279,0.000047060814,0.0000038605417,0.000022517665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041917543,0.00009284231,0.00013073496,0.00004816828,0.00012602205,0.000024019382,0.00047602283,0.00005628527,0.000030165129],"category_scores_gemma":[0.000025163965,0.000034844597,0.000028757464,0.0011652759,0.00061744516,0.00008283718,0.0002677037,0.000078137266,0.000041780942],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012452096,0.00009784621,0.088514686,0.000010856638,0.0000022750846,0.0000038974135,0.00009799685,0.00015178652,0.36482385,0.0017974016,0.00006140228,0.54442555],"study_design_scores_gemma":[0.00018076223,0.00093730906,0.70775306,0.000112720525,0.000004774522,0.0000026317532,0.005720318,0.0011757456,0.27359524,0.008081911,0.0020523185,0.0003831865],"about_ca_topic_score_codex":0.00006146169,"about_ca_topic_score_gemma":0.00014852316,"teacher_disagreement_score":0.6192384,"about_ca_system_score_codex":0.000013646742,"about_ca_system_score_gemma":0.0000023036816,"threshold_uncertainty_score":0.22750023},"labels":[],"label_agreement":null},{"id":"W4380991894","doi":"10.3390/app13127177","title":"Microwave-Assisted Chemical Ablation (MA-CA): A Novel Microwave-Assisted Tissue Ablation Procedure—Preliminary Assessment of Efficiency","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Dr. Georges-L.-Dumont University Hospital Centre; Atlantic Cancer Research Institute","funders":"Atlantic Canada Opportunities Agency; New Brunswick Innovation Foundation; Cancer Research Institute","keywords":"Ablation; Microwave ablation; Ablation zone; Microwave; Materials science; Ethanol; Biomedical engineering; Analytical Chemistry (journal); Chemistry; Medicine; Chromatography; Computer science; Telecommunications; Organic chemistry","score_opus":0.021444691256993872,"score_gpt":0.2707073048796359,"score_spread":0.24926261362264202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380991894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.939807,0.00006566513,0.037315182,0.00011063094,0.0001235233,0.00057437463,0.000025439575,0.00044729246,0.021530885],"genre_scores_gemma":[0.98386097,0.000014246062,0.015649864,0.000029092524,0.000059076374,0.00015927179,0.000103821556,0.000026578256,0.00009709862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831784,0.000010580984,0.0004401128,0.00042441578,0.00042184797,0.00038521853],"domain_scores_gemma":[0.9993017,0.00018058361,0.00011819335,0.0002516996,0.00006386761,0.00008399832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885988,0.00021371935,0.00024703823,0.00024395733,0.0002852366,0.00007471953,0.00038070994,0.00013644231,0.000040802868],"category_scores_gemma":[0.000022218226,0.0002038717,0.000058256705,0.0018729235,0.0002820491,0.0001366536,0.000050642782,0.00015221228,0.00007758671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004675097,0.000081692255,0.00018340662,0.00007341814,0.000015245686,4.3598206e-7,0.00039644205,0.004460644,0.9847234,0.0029933641,0.0003231325,0.0067441436],"study_design_scores_gemma":[0.0009549064,0.0001377298,0.10060098,0.00010367328,0.00009509524,0.00004566834,0.0013410683,0.16010197,0.7328246,0.0009338259,0.0020740137,0.0007864666],"about_ca_topic_score_codex":0.000013980761,"about_ca_topic_score_gemma":0.0000130472135,"teacher_disagreement_score":0.2518988,"about_ca_system_score_codex":0.00007855913,"about_ca_system_score_gemma":0.00011769217,"threshold_uncertainty_score":0.8313647},"labels":[],"label_agreement":null},{"id":"W4380995398","doi":"10.3390/app13127112","title":"Source Microphone Identification Using Swin Transformer","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"King Saud University","keywords":"Microphone; Computer science; Transformer; Digital audio; Identification (biology); Speech recognition; Audio analyzer; Artificial intelligence; Audio signal; Engineering; Telecommunications; Speech coding; Electrical engineering","score_opus":0.02935601443706471,"score_gpt":0.2557583507319746,"score_spread":0.2264023362949099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380995398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6031384,0.000010156591,0.39008301,0.00026312252,0.00074893725,0.00014125697,6.157311e-7,0.00036995733,0.0052445084],"genre_scores_gemma":[0.9910562,0.0000030005726,0.008495837,0.000091986556,0.00005191353,0.0000146665825,0.0000011628624,0.0000053799426,0.00027984587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986622,0.000010842921,0.00018579254,0.00040763032,0.0004330096,0.0003005366],"domain_scores_gemma":[0.9995658,0.00005441012,0.00006335925,0.00023259352,0.000023998438,0.00005987307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059564674,0.00008821396,0.00008491656,0.00024475623,0.00029665302,0.00038017865,0.0006790124,0.000033612494,0.000004326852],"category_scores_gemma":[0.000018994142,0.0000791556,0.000033290104,0.0025265615,0.00024054025,0.0006148761,0.00005971322,0.000055643155,0.00060837646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018169671,0.000014591909,0.000050953782,0.000006570573,0.0000036858526,0.0000012166824,0.0010932843,0.0013291312,0.7672158,0.00975252,0.00029039738,0.22024001],"study_design_scores_gemma":[0.000299535,0.00006460783,0.0024872038,0.000019178284,0.000007244178,0.000028664235,0.0007235343,0.110346615,0.8539013,0.025584474,0.00611805,0.00041955913],"about_ca_topic_score_codex":0.000020905243,"about_ca_topic_score_gemma":0.000008914805,"teacher_disagreement_score":0.3879178,"about_ca_system_score_codex":0.00002736289,"about_ca_system_score_gemma":0.00005935401,"threshold_uncertainty_score":0.7819652},"labels":[],"label_agreement":null},{"id":"W4380995862","doi":"10.3390/app13127126","title":"An Optimized Approach to Translate Technical Patents from English to Japanese Using Machine Translation Models","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topic Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Machine translation; Artificial intelligence; Natural language processing; Preprocessor; Evaluation of machine translation; Transformer; Translation (biology); Machine learning; Hyperparameter; BLEU; Example-based machine translation; Machine translation software usability; Engineering","score_opus":0.10246256568746862,"score_gpt":0.30376575361934804,"score_spread":0.20130318793187943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380995862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26166192,0.000016136624,0.7344814,0.00020099946,0.00015909265,0.0004446835,0.0000074587865,0.00049583375,0.0025324866],"genre_scores_gemma":[0.5752469,0.0000010962943,0.4244818,0.00016837614,0.000046686477,0.0000382879,0.0000057805355,0.0000071843315,0.0000039284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739695,0.000054907072,0.00033134158,0.0010305264,0.0006992098,0.00048709667],"domain_scores_gemma":[0.99900335,0.00007383332,0.000044917717,0.00056429143,0.000043300846,0.0002702838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010004411,0.000189952,0.00024339737,0.00029820055,0.00031412733,0.00033932106,0.0017688356,0.000086818814,0.0000038914786],"category_scores_gemma":[0.0000113018905,0.00016815872,0.000051385017,0.0019841085,0.00006342943,0.0007337966,0.00013941806,0.0001278223,0.000021878088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013453857,0.00004388484,0.0000138594305,0.000003021192,0.000003526796,0.0000011623125,0.011692124,0.9382294,0.02896778,0.0032750883,0.000006463616,0.017750239],"study_design_scores_gemma":[0.0002968583,0.00003253906,0.00005942971,0.0000083135,0.000005706283,9.0889273e-7,0.00028413697,0.993877,0.00091079785,0.004267117,0.000021592256,0.000235636],"about_ca_topic_score_codex":0.0003286838,"about_ca_topic_score_gemma":0.000022124072,"teacher_disagreement_score":0.31358492,"about_ca_system_score_codex":0.000028834964,"about_ca_system_score_gemma":0.00005640231,"threshold_uncertainty_score":0.68573135},"labels":[],"label_agreement":null},{"id":"W4381248971","doi":"10.3390/app13127234","title":"A Microscopic Traffic Model Considering Time Headway and Distance Headway","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Microscopic traffic flow model; Traffic flow (computer networking); Acceleration; Traffic wave; Simulation; Traffic model; Computer science; Constant (computer programming); Three-phase traffic theory; Traffic generation model; Traffic congestion reconstruction with Kerner's three-phase theory; Statistical physics; Transport engineering; Real-time computing; Engineering; Physics; Traffic congestion; Classical mechanics; Computer network","score_opus":0.012944544549846644,"score_gpt":0.21099966481686946,"score_spread":0.19805512026702282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381248971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778785,0.0004133791,0.005778952,0.00024196482,0.00013180559,0.0002601831,0.0000049157325,0.001097305,0.0141929835],"genre_scores_gemma":[0.99830145,0.00004711899,0.001038987,0.00006563614,0.000018661092,0.000038697268,0.0000013960208,0.000010044468,0.0004779892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992074,0.0000032825699,0.00012028791,0.00023155917,0.00013574603,0.00030174063],"domain_scores_gemma":[0.99978304,0.000043763896,0.000011600998,0.000100288984,0.0000039439974,0.00005735277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018861316,0.00010953762,0.00013225556,0.00008276224,0.00015372391,0.00008258357,0.0001295129,0.000023971865,0.000012081915],"category_scores_gemma":[0.0000031363602,0.00009937101,0.000017299513,0.00032199663,0.00015713536,0.00006811313,0.00004144592,0.00005408042,0.000110235625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020287346,0.000005196813,0.000009950528,0.00004033407,0.000009132693,0.000002515902,0.00038279628,0.9544743,0.022615558,0.005971513,0.0025394247,0.013947292],"study_design_scores_gemma":[0.00023828182,0.000011111565,0.00038501035,0.000014729517,0.000006304666,0.0000010862168,0.00013169296,0.99502474,0.00037427153,0.00063368963,0.0030163657,0.00016274358],"about_ca_topic_score_codex":0.0000014857657,"about_ca_topic_score_gemma":0.000022361855,"teacher_disagreement_score":0.040550455,"about_ca_system_score_codex":0.000014222743,"about_ca_system_score_gemma":0.000013340414,"threshold_uncertainty_score":0.40522322},"labels":[],"label_agreement":null},{"id":"W4381429689","doi":"10.3390/app13127306","title":"Identifying Neurobiological Markers in Obsessive–Compulsive Disorder: A Study Protocol for a Cross-Sectional Study in Subgroups of Differing Phenotype","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Clinical psychology; Polysomnography; Cognition; Brain-derived neurotrophic factor; Population; Psychology; Disease; Medicine; Psychiatry; Neurotrophic factors; Internal medicine; Electroencephalography","score_opus":0.0702696491744299,"score_gpt":0.4086435466723722,"score_spread":0.3383738974979423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381429689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8880494,0.0000042655643,0.00008563806,0.000020572139,0.00028161352,0.11030291,0.000007066373,0.00008191753,0.0011665759],"genre_scores_gemma":[0.8191381,1.928198e-7,0.00007523995,0.000015509997,0.00002949445,0.18068627,0.0000037438233,0.000018851724,0.000032590884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996594,0.0002785565,0.0008201403,0.0011471623,0.0004454872,0.00071466627],"domain_scores_gemma":[0.9984889,0.00079144613,0.0003202284,0.0002939421,0.000049757207,0.000055710952],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001468587,0.0002877907,0.0004924345,0.00069971365,0.000292436,0.00011658851,0.0008234578,0.000095224175,0.00013576164],"category_scores_gemma":[0.0001415282,0.00024609917,0.00009179106,0.0025833545,0.0005449356,0.00014614277,0.00031368414,0.00028919624,0.00003423978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073895906,0.0021015003,0.9888745,0.00003259876,0.000030555155,0.000022512606,0.0045011486,0.001242459,0.00061378,0.001189428,0.000011407515,0.00064116047],"study_design_scores_gemma":[0.006282271,0.0011949772,0.9610362,0.000014464104,0.000005446867,0.0000011002671,0.02818872,0.0003439614,0.000015916597,0.0026653528,0.0000071293953,0.00024442765],"about_ca_topic_score_codex":0.00048960134,"about_ca_topic_score_gemma":0.001424313,"teacher_disagreement_score":0.070383355,"about_ca_system_score_codex":0.000068078,"about_ca_system_score_gemma":0.00006626746,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W4382174897","doi":"10.3390/app13127064","title":"Predicting Rutting Development of Pavement with Flexible Overlay Using Artificial Neural Network","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rut; Overlay; Pavement management; Asphalt pavement; Artificial neural network; Asphalt; Geotechnical engineering; Engineering; Computer science; Civil engineering; Environmental science; Machine learning; Geography","score_opus":0.02831043706255206,"score_gpt":0.24518360506168213,"score_spread":0.21687316799913006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382174897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99027747,0.000017191262,0.0069303554,0.000004848863,0.00047788981,0.00011043184,5.1990133e-7,0.00024270205,0.001938594],"genre_scores_gemma":[0.96977735,9.008784e-7,0.029913926,0.000008505066,0.00027037837,0.000011060022,0.000001231463,0.000011810427,0.0000048573143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988904,0.0000039437055,0.00023143982,0.00016407252,0.00028825772,0.0004219011],"domain_scores_gemma":[0.9997883,0.000031799176,0.00005435983,0.000074909825,0.000016729407,0.000033942364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040781862,0.000108670305,0.00012255562,0.00007844517,0.00033528946,0.00004155868,0.00013922258,0.000026476606,0.000004929578],"category_scores_gemma":[0.0000036664717,0.000086182095,0.00001481487,0.00072997133,0.0000812032,0.00008098429,0.000050383405,0.00007817219,0.0000032669718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026740497,0.000001750045,0.005907704,0.00002647847,0.00001185077,0.0000011659303,0.0008439235,0.9288178,0.054688413,0.001104019,0.00001700845,0.00857721],"study_design_scores_gemma":[0.0002235743,0.000053041866,0.011310016,0.00022319722,0.000019802479,0.000004710658,0.0044802255,0.49127007,0.48978114,0.0017157983,0.00046727087,0.00045115524],"about_ca_topic_score_codex":0.000005607035,"about_ca_topic_score_gemma":0.000007893651,"teacher_disagreement_score":0.43754774,"about_ca_system_score_codex":0.000036999423,"about_ca_system_score_gemma":0.000049301776,"threshold_uncertainty_score":0.35144037},"labels":[],"label_agreement":null},{"id":"W4382403093","doi":"10.3390/app13137580","title":"Fault Diagnosis of Wind Turbine with Alarms Based on Word Embedding and Siamese Convolutional Neural Network","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Natural Science Foundation of China","keywords":"ALARM; Discriminative model; Turbine; Convolutional neural network; Fault (geology); Computer science; Similarity (geometry); Artificial intelligence; Pattern recognition (psychology); Embedding; Artificial neural network; Speech recognition; Engineering","score_opus":0.012527080150804656,"score_gpt":0.26747229349919555,"score_spread":0.2549452133483909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382403093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949831,0.00008702388,0.0005577797,0.00028050586,0.000077191995,0.00027472342,0.0000119518345,0.000518636,0.003209132],"genre_scores_gemma":[0.99560034,0.000034715347,0.0040216255,0.00013496731,0.00006407611,0.00011149755,0.000008701094,0.000016538745,0.0000075212006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988879,0.00001358306,0.0001671302,0.00026012814,0.00036073744,0.00031050626],"domain_scores_gemma":[0.99930894,0.00042908234,0.000042641594,0.00013570208,0.000017209168,0.00006643277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036738525,0.0001563834,0.00018828189,0.0001630461,0.00012592353,0.00004230177,0.00020370244,0.000047237074,0.000034103585],"category_scores_gemma":[0.000022635779,0.000121320016,0.00002384533,0.00096498,0.00029290776,0.00008312867,0.000039533694,0.00012461847,0.000006006296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012576283,0.000021751013,0.052732546,0.000036719597,0.000010876608,0.000004040991,0.000083479645,0.9352247,0.000544576,0.0012496896,0.005701391,0.004377618],"study_design_scores_gemma":[0.00029393643,0.00013416698,0.041075032,0.00009371254,0.000011516419,0.0000015129024,0.00006419109,0.9520336,0.004894447,0.0005312232,0.0006364025,0.00023026466],"about_ca_topic_score_codex":0.000014508779,"about_ca_topic_score_gemma":0.000015037271,"teacher_disagreement_score":0.016808858,"about_ca_system_score_codex":0.000017318804,"about_ca_system_score_gemma":0.000016962102,"threshold_uncertainty_score":0.49472865},"labels":[],"label_agreement":null},{"id":"W4382560571","doi":"10.3390/app13137658","title":"Amino-Acid-Derived Oxazolidin-5-Ones as Chemical Markers for Schiff Base Formation in Glycation Reactions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Chemistry; Schiff base; Amadori rearrangement; Aldimine; Alanine; Imine; Monomer; Amino acid; Glycation; Organic chemistry; Polymer chemistry; Catalysis; Biochemistry","score_opus":0.03440608961596291,"score_gpt":0.3311043071556962,"score_spread":0.2966982175397333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382560571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98974407,0.000044191034,0.004794005,0.0013304843,0.00008788172,0.00053403096,0.000009784791,0.00004067426,0.00341488],"genre_scores_gemma":[0.99500895,0.000095613905,0.0038082518,0.00010185482,0.000092029564,0.00030204764,0.00022902459,0.0000088467905,0.0003534065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989782,0.000021031286,0.00018246555,0.00036156637,0.00019161716,0.00026514046],"domain_scores_gemma":[0.9995897,0.00004338099,0.00006527316,0.00018789795,0.000062581355,0.000051167728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004792228,0.000086394706,0.00007392518,0.00014592292,0.00018614846,0.000034834728,0.00020466221,0.000066883484,0.000013505942],"category_scores_gemma":[0.00036257727,0.00008335991,0.000027002763,0.000639565,0.00017673199,0.00002351225,0.000063553976,0.00005803426,0.000052934225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007099887,0.000016120954,0.000033070057,0.000017760734,0.0000026917533,1.9625548e-7,0.00006617343,0.0003150097,0.99230695,0.0015473098,0.00059009646,0.005033628],"study_design_scores_gemma":[0.000306134,0.000058006975,0.000509198,0.000005491594,0.000001962349,0.0000039553547,0.00069197937,0.0009986717,0.9867414,0.0022036997,0.008365445,0.00011405418],"about_ca_topic_score_codex":0.000009675465,"about_ca_topic_score_gemma":0.000014380107,"teacher_disagreement_score":0.0077753486,"about_ca_system_score_codex":0.000025518832,"about_ca_system_score_gemma":0.00008368521,"threshold_uncertainty_score":0.33993188},"labels":[],"label_agreement":null},{"id":"W4382940975","doi":"10.3390/app13137801","title":"Climate Change Impacts on Frost and Thaw Considerations: Case Study of Airport Pavement Design in Canada","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Permafrost; Frost heaving; Frost (temperature); Climate change; Environmental science; Cold climate; Geotechnical engineering; Climatology; Meteorology; Engineering; Geology; Geography","score_opus":0.15737145798516713,"score_gpt":0.2866198867119463,"score_spread":0.1292484287267792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382940975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977218,0.00007000554,2.4989257e-7,0.00017632352,0.00011285916,0.00056020496,0.00042755483,0.000011429999,0.0009195956],"genre_scores_gemma":[0.9993507,0.00013494003,0.000023067178,0.00040625347,0.000024967017,0.0000151083395,0.000041573552,0.0000017207916,0.000001615685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886036,0.000044614462,0.00021009457,0.00026154344,0.00030734634,0.00031602124],"domain_scores_gemma":[0.9992898,0.00043776468,0.00006962498,0.00010440353,0.0000113708975,0.000087038796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007600368,0.00010270647,0.00015631574,0.00014078809,0.00028323996,0.000050657614,0.000078277604,0.00001863527,0.000455143],"category_scores_gemma":[0.000013333562,0.000078253215,0.0000074688246,0.0004669326,0.00009387551,0.000102369726,0.000019641755,0.00005484792,0.000018320192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011368299,0.000027883652,0.9908291,0.000013770435,0.0000032643165,0.000846049,0.004634798,0.0011130534,0.00008325137,0.000066603185,0.00037260933,0.0019982455],"study_design_scores_gemma":[0.00048029385,0.0004575576,0.9146968,0.000027722826,0.000008142608,0.000090268244,0.079791985,0.0036840907,0.00025660067,0.00031159862,0.000014636716,0.00018027145],"about_ca_topic_score_codex":0.9059749,"about_ca_topic_score_gemma":0.9961288,"teacher_disagreement_score":0.09015386,"about_ca_system_score_codex":0.000007795413,"about_ca_system_score_gemma":0.00015791507,"threshold_uncertainty_score":0.49834967},"labels":[],"label_agreement":null},{"id":"W4382940990","doi":"10.3390/app13137804","title":"Real-Time Deployment of MobileNetV3 Model in Edge Computing Devices Using RGB Color Images for Varietal Classification of Chickpea","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Indian Council of Agricultural Research","keywords":"RGB color model; Artificial intelligence; Computer science; Android (operating system); Classifier (UML); Mobile phone; Computer vision","score_opus":0.09524131139528383,"score_gpt":0.33112575329109095,"score_spread":0.23588444189580712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382940990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982855,0.000018746392,0.000062403225,0.00014442488,0.00001991692,0.00038267483,0.00002011929,0.000027973527,0.0010382663],"genre_scores_gemma":[0.99798614,0.00002489545,0.0018884545,0.0000061205124,0.000029426517,0.000020212883,0.000013014732,8.046328e-7,0.00003093929],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882454,0.000029781591,0.00027172628,0.00027582358,0.0003115385,0.00028656612],"domain_scores_gemma":[0.99932873,0.0003879545,0.0001434815,0.000039434515,0.000060453633,0.00003993427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010928493,0.000079077116,0.00017708573,0.000051709198,0.00020972459,0.000029490948,0.00032735767,0.000050326027,0.000009210252],"category_scores_gemma":[0.000023305889,0.000032652013,0.000045375506,0.0010372739,0.00028074413,0.0000785355,0.00009446244,0.000043067022,0.0000040785867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001216927,0.000049527425,0.0023112632,0.000022677415,0.0000028203922,1.12652e-7,0.00013916403,0.0066281934,0.9839328,0.0010253536,0.000032293217,0.005843612],"study_design_scores_gemma":[0.00015095675,0.00017330154,0.22921851,0.000032551765,0.0000073984274,4.839833e-7,0.001845524,0.7084193,0.058919396,0.0010918095,0.000015691643,0.00012502777],"about_ca_topic_score_codex":0.0002554625,"about_ca_topic_score_gemma":0.000084619795,"teacher_disagreement_score":0.9250134,"about_ca_system_score_codex":0.000016995215,"about_ca_system_score_gemma":0.000044531283,"threshold_uncertainty_score":0.16130532},"labels":[],"label_agreement":null},{"id":"W4382941114","doi":"10.3390/app13137740","title":"Development of Fire Safety Assessment Model for Buildings Using Analytic Hierarchy Process","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fire safety; Analytic hierarchy process; Prioritization; Risk analysis (engineering); Process (computing); Fire protection; Fire hazard; Hazard analysis; Risk assessment; Hazard; Identification (biology); Computer science; Engineering; Construction engineering; Architectural engineering; Operations research; Civil engineering; Business; Environmental science; Management science; Reliability engineering; Computer security; Environmental protection","score_opus":0.22843107013921612,"score_gpt":0.4635070795960657,"score_spread":0.23507600945684956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382941114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6438251,0.000018405577,0.3530579,0.00052892935,0.000058304937,0.00028098884,0.000012950059,0.000043027936,0.002174404],"genre_scores_gemma":[0.8422405,0.0000137486495,0.15736508,0.00004752505,0.000017609433,0.000033052023,0.000003836593,0.000006156497,0.0002724765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956772,0.000029045934,0.0010013413,0.00074087636,0.0021128117,0.00043874732],"domain_scores_gemma":[0.99817437,0.00071399566,0.00042129922,0.0003225204,0.00025852726,0.00010926433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007919334,0.00015805435,0.00044657534,0.00058138376,0.0010761506,0.00016620827,0.0011704013,0.00005928326,0.00003680195],"category_scores_gemma":[0.00028822655,0.00011097516,0.00014998899,0.005079563,0.0003953783,0.00028287846,0.0001836643,0.00007690386,0.000021622782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035524143,0.000051332667,0.0012056476,0.000025309902,0.000039003244,7.0754584e-7,0.0044055292,0.8289788,0.005546715,0.016983308,0.00026874762,0.1424594],"study_design_scores_gemma":[0.0001664969,0.00001322791,0.0009637459,0.000011436738,0.000021975327,4.5635238e-7,0.0039270204,0.9249317,0.0014003864,0.06793933,0.0004711914,0.00015301698],"about_ca_topic_score_codex":0.0000064238334,"about_ca_topic_score_gemma":0.000025703042,"teacher_disagreement_score":0.19841541,"about_ca_system_score_codex":0.000062325766,"about_ca_system_score_gemma":0.0009081506,"threshold_uncertainty_score":0.8276989},"labels":[],"label_agreement":null},{"id":"W4382941178","doi":"10.3390/app13137766","title":"Laboratory Study on Influence of Blending Conditions on Chemo-Thermal Characteristics of Lignin-Modified Bitumen","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphalt; Lignin; Dynamic shear rheometer; Kraft paper; Materials science; Thermogravimetric analysis; Rheology; Environmental scanning electron microscope; Fourier transform infrared spectroscopy; Rheometer; Composite material; Chemical engineering; Pulp and paper industry; Scanning electron microscope; Chemistry; Organic chemistry","score_opus":0.027814318106972505,"score_gpt":0.2922677950353677,"score_spread":0.2644534769283952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382941178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516785,0.0000016848596,0.000007344141,0.000010801352,0.00010336397,0.0003087691,0.000025066252,0.00011271967,0.0042623966],"genre_scores_gemma":[0.999835,0.0000044043704,0.000027428401,0.000019253352,0.000027256983,0.000059651295,0.000008326938,0.000008974865,0.000009673295],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998928,0.000013549956,0.00027370048,0.00015545581,0.0004537816,0.00017552359],"domain_scores_gemma":[0.9995736,0.00010174463,0.0000995529,0.00015575554,0.00004071279,0.000028636996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006458398,0.00009932745,0.00015091551,0.00023318984,0.00010403323,0.000013426838,0.00020713509,0.000029084735,0.0000123412765],"category_scores_gemma":[0.000023028942,0.00009318113,0.000014395871,0.00087816187,0.00013382209,0.00012514066,0.000024912219,0.00007573716,0.00007356102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007874011,0.000102714424,0.01097086,0.000057963756,0.000024122694,8.421686e-7,0.0017848826,0.29111916,0.69288456,0.0024925293,0.0001487235,0.00040577867],"study_design_scores_gemma":[0.00039727034,0.00034130382,0.5305995,0.0000659477,0.000018242235,5.9317923e-8,0.0016283427,0.014651168,0.452028,0.00008126948,0.000014979468,0.00017390272],"about_ca_topic_score_codex":0.0000016067746,"about_ca_topic_score_gemma":6.0522433e-7,"teacher_disagreement_score":0.51962864,"about_ca_system_score_codex":0.000029940631,"about_ca_system_score_gemma":0.00004191948,"threshold_uncertainty_score":0.37998164},"labels":[],"label_agreement":null},{"id":"W4382982125","doi":"10.3390/app13137810","title":"A Microscopic Traffic Model Considering Driver Reaction and Sensitivity","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Sensitivity (control systems); Platoon; Acceleration; Traffic flow (computer networking); Simulation; Exponent; String (physics); Computer science; Traffic model; Microscopic traffic flow model; Real-time computing; Traffic generation model; Mathematics; Engineering; Physics; Artificial intelligence; Computer network; Electronic engineering; Classical mechanics","score_opus":0.0166465993439332,"score_gpt":0.21503712856969906,"score_spread":0.19839052922576586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382982125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993564,0.000026334497,0.0013113747,0.00008030782,0.00009792911,0.00009685851,9.736876e-7,0.00052270835,0.004299524],"genre_scores_gemma":[0.9993657,0.00003517583,0.00047774255,0.000031714193,0.000015285517,0.00001133299,6.3372136e-7,0.000004591443,0.000057809808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954575,0.000003342045,0.00006055553,0.00014499419,0.000085515974,0.00015984905],"domain_scores_gemma":[0.99987257,0.000035054567,0.0000077224595,0.00005289813,0.000003151826,0.000028582252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019279977,0.00006206639,0.0000701762,0.00007192183,0.000105705825,0.00003996418,0.000025554684,0.00001850168,0.0000014142771],"category_scores_gemma":[0.0000025903478,0.0000582903,0.000010228396,0.00018815353,0.000083472805,0.000063398395,0.000024297666,0.00004018043,0.000025247362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.579688e-7,0.000002721383,0.0000131702745,0.000016767388,0.00000621781,0.000003897983,0.00030639232,0.78045046,0.1963913,0.0016688247,0.0005728092,0.020566497],"study_design_scores_gemma":[0.00015130907,0.000004950343,0.0034380325,0.000005555426,0.000006682829,0.0000025437591,0.00025183792,0.9941223,0.0010924595,0.0002496425,0.000577465,0.00009718211],"about_ca_topic_score_codex":0.000003197939,"about_ca_topic_score_gemma":0.000044592663,"teacher_disagreement_score":0.2136719,"about_ca_system_score_codex":0.000010223068,"about_ca_system_score_gemma":0.0000067395463,"threshold_uncertainty_score":0.23770095},"labels":[],"label_agreement":null},{"id":"W4383104267","doi":"10.3390/app13137837","title":"Loaded 5 Sit-to-Stand Test to Determine the Force–Velocity Relationship in Older Adults: A Validation Study","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fondazione Cassa Di Risparmio Di Trento E Rovereto","keywords":"Medicine; Muscle strength; Physical therapy; Physical medicine and rehabilitation; Mathematics","score_opus":0.09314730923073275,"score_gpt":0.3707302620611137,"score_spread":0.2775829528303809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383104267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856449,0.000008747691,0.00017802989,0.0100521315,0.00006573184,0.0017689806,0.0000027741798,0.000076561206,0.0022021679],"genre_scores_gemma":[0.9971492,0.000001769999,0.0006544224,0.0015813825,0.000062923646,0.00024043722,0.0000040477985,0.0000054160614,0.0003003634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988173,0.000029364855,0.0002494555,0.00028295725,0.00037162748,0.00024927148],"domain_scores_gemma":[0.9991728,0.00047163447,0.000040971347,0.000157586,0.000039243918,0.00011778093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013568711,0.00007545259,0.00012773805,0.00028324104,0.00037050078,0.0000442561,0.0001376041,0.000027993785,0.000030598047],"category_scores_gemma":[0.0003643876,0.00005178183,0.000014539464,0.002247318,0.000063676925,0.000052637337,0.000048529397,0.00012344749,0.00017389176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017606595,0.00050231285,0.9528502,0.00014072996,0.0000045873426,0.000016900245,0.028294936,0.00020416269,0.0040312475,0.0011944456,0.0038068607,0.008777518],"study_design_scores_gemma":[0.0013944082,0.00025084557,0.9824219,0.0001508756,0.000008131299,0.0000027170165,0.012603115,0.0008744684,0.0013056513,0.00059876515,0.00029743408,0.00009170236],"about_ca_topic_score_codex":0.000037333153,"about_ca_topic_score_gemma":0.00011575839,"teacher_disagreement_score":0.029571652,"about_ca_system_score_codex":0.00005609742,"about_ca_system_score_gemma":0.00008155246,"threshold_uncertainty_score":0.284963},"labels":[],"label_agreement":null},{"id":"W4383104531","doi":"10.3390/app13137813","title":"Using Imaging Techniques to Analyze the Microstructure of Asphalt Concrete Mixtures: Literature Review","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Asphalt; Composite material","score_opus":0.021474117544858146,"score_gpt":0.31017338676853257,"score_spread":0.2886992692236744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383104531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8722254,0.08366052,0.010769975,0.003534886,0.0013248244,0.005007845,0.00009051087,0.0020454347,0.021340609],"genre_scores_gemma":[0.9849479,0.0034431687,0.010040134,0.0013371836,0.00011895625,0.0000589147,0.000015180144,0.000017749659,0.000020807047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989867,0.000017840419,0.00023967729,0.00017964661,0.00034454672,0.00023159107],"domain_scores_gemma":[0.9996143,0.000044409924,0.000060285292,0.00019706218,0.000050641127,0.00003329849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010270787,0.00012172587,0.00015478706,0.00014086976,0.00016995717,0.00006121925,0.0003657046,0.000030274241,0.000023637711],"category_scores_gemma":[0.00002530759,0.00008074367,0.000035155404,0.0021095865,0.000121796045,0.00015505955,0.000057254543,0.000112770904,0.0000132701725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020653645,6.55795e-7,0.00029140772,0.00073253125,0.000014192247,0.000001728597,0.0010524403,0.0057848315,0.9699257,0.00059734087,0.009324956,0.012272155],"study_design_scores_gemma":[0.00025048773,0.00005766695,0.0020043221,0.0061976947,0.00014735544,0.00003394679,0.0008962587,0.19197583,0.7720601,0.0016761473,0.02383261,0.00086759985],"about_ca_topic_score_codex":0.000002078874,"about_ca_topic_score_gemma":0.0000010581563,"teacher_disagreement_score":0.1978656,"about_ca_system_score_codex":0.000025579859,"about_ca_system_score_gemma":0.000028520331,"threshold_uncertainty_score":0.32926315},"labels":[],"label_agreement":null},{"id":"W4383552188","doi":"10.3390/app13137943","title":"Characterisation of Geotechnical Properties of Residual Tropical Soils Used for Road Infrastructure: French Guiana Experience","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Regional Development Fund; Agence Nationale de la Recherche","keywords":"Gibbsite; Goethite; Soil water; Hematite; Kaolinite; Geology; Geotechnical engineering; Mining engineering; Mineralogy; Soil science; Chemistry","score_opus":0.027634855909798795,"score_gpt":0.23680683407034764,"score_spread":0.20917197816054883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865246,0.000030490348,0.00054566754,0.00008167423,0.00018348818,0.00020763498,0.000011335787,0.0001766061,0.000110630725],"genre_scores_gemma":[0.99910015,0.000020469517,0.00069421943,0.000005276536,0.000049178696,0.00011578333,0.0000019302176,0.0000053916315,0.0000075948237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990766,0.000007926577,0.00032905096,0.0001675304,0.0002285646,0.00019031957],"domain_scores_gemma":[0.99973184,0.000030448113,0.0000642735,0.00011324243,0.00003498501,0.000025189307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014101535,0.00009507246,0.00021759345,0.00008603413,0.00009681933,0.000017409002,0.0002173312,0.00006756229,0.000017347404],"category_scores_gemma":[0.00004896411,0.00007181154,0.000035012265,0.0003601021,0.0005690942,0.00007312011,0.000058919853,0.000045571593,0.000003547345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009236462,0.0000066178413,0.00041104297,0.00009570539,0.000010095453,9.858358e-8,0.0006474806,0.0066636307,0.98646855,0.0019806756,0.00014957672,0.0035572734],"study_design_scores_gemma":[0.00020985506,0.00007670474,0.06706448,0.000032552754,0.000009565155,0.0000014901467,0.0008790255,0.004817921,0.9242501,0.002307489,0.0001936887,0.00015710326],"about_ca_topic_score_codex":0.000013507145,"about_ca_topic_score_gemma":0.0000029056744,"teacher_disagreement_score":0.06665344,"about_ca_system_score_codex":0.000008459942,"about_ca_system_score_gemma":0.000021952756,"threshold_uncertainty_score":0.292839},"labels":[],"label_agreement":null},{"id":"W4383878419","doi":"10.3390/app13148059","title":"Design of Energy Recovery Control for General Virtual Synchronous Machines Based on Various Forms of Energy Storage","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Harbin Institute of Technology; Beihang University","keywords":"Energy storage; Control theory (sociology); Automatic frequency control; Inertia; Energy (signal processing); Renewable energy; Computer science; Power (physics); Control engineering; Engineering; Control (management); Electrical engineering; Physics","score_opus":0.007259353583030241,"score_gpt":0.1907203679430882,"score_spread":0.18346101436005796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383878419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016770774,0.00012126732,0.981811,0.000019831112,0.00020122949,0.00015863728,0.00003562371,0.00011271355,0.00076891034],"genre_scores_gemma":[0.9952569,0.000055852375,0.004358085,0.00009628263,0.00005895531,0.000098868215,0.00002200443,0.000015888741,0.000037170907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915,0.00001567043,0.00023575655,0.00018347881,0.00018312511,0.00023196307],"domain_scores_gemma":[0.9994685,0.00027066033,0.00007540915,0.00012218163,0.000028966078,0.00003427244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031951076,0.00012637186,0.00022972678,0.00020233112,0.00008119827,0.000020435315,0.00020336702,0.00005893951,0.0000127730245],"category_scores_gemma":[0.000013947266,0.00010253122,0.000057202382,0.000374754,0.00008337377,0.000065122906,0.0000103737775,0.00002687566,0.00000122139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007587133,0.00001655221,0.0000064233504,0.000013122251,0.000017813178,4.131596e-7,0.000022338318,0.93463796,0.036142476,0.008167577,0.00020119164,0.020698275],"study_design_scores_gemma":[0.0007435891,0.0003070654,0.000036440106,0.000007838656,0.00001364497,3.0371612e-7,0.000011053118,0.9835025,0.013881794,0.0012209777,0.00015669515,0.00011809691],"about_ca_topic_score_codex":0.000028986671,"about_ca_topic_score_gemma":0.000015623906,"teacher_disagreement_score":0.9784861,"about_ca_system_score_codex":0.000022968123,"about_ca_system_score_gemma":0.0000552294,"threshold_uncertainty_score":0.4181102},"labels":[],"label_agreement":null},{"id":"W4383912218","doi":"10.3390/app13148067","title":"Defining Breast Tumor Location Using a Four-Element Wearable Circular UWB MIMO Antenna Array","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Antenna (radio); Imaging phantom; Coaxial antenna; Bandwidth (computing); Materials science; Acoustics; Electrical engineering; Physics; Microstrip antenna; Optoelectronics; Telecommunications; Optics; Computer science; Engineering","score_opus":0.02076495312126668,"score_gpt":0.23156710702719122,"score_spread":0.21080215390592455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383912218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8904289,0.00053694425,0.10197033,0.00031809884,0.0002912196,0.00011691144,0.00000992332,0.000822524,0.005505146],"genre_scores_gemma":[0.9960535,0.000017952112,0.003731958,0.000074611205,0.000044274882,0.000012245403,0.0000051548336,0.000017335706,0.000042927855],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987953,0.000014131516,0.00020011804,0.00030622663,0.00027571968,0.0004085307],"domain_scores_gemma":[0.99964255,0.000031683965,0.00003789093,0.00019288821,0.000031606956,0.00006340374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005953732,0.00013232428,0.0001559476,0.00021780365,0.00032169808,0.00016514007,0.0002078065,0.000021898986,0.000030891635],"category_scores_gemma":[0.000011021087,0.00013106421,0.00004649599,0.0016293396,0.00010116885,0.00009640373,0.00003113402,0.00008949214,0.0003155832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.721382e-7,0.000007205365,0.0013980368,0.00006542739,0.00003467696,0.000010567191,0.0003416179,0.21661718,0.77889687,0.0002208429,0.0003219908,0.0020846054],"study_design_scores_gemma":[0.00020184956,0.000008303031,0.0022632184,0.0001385312,0.000061030634,0.000115359006,0.0016536062,0.942152,0.05145474,0.00079667417,0.00069646986,0.0004581775],"about_ca_topic_score_codex":0.00006187155,"about_ca_topic_score_gemma":0.000009137614,"teacher_disagreement_score":0.72744215,"about_ca_system_score_codex":0.00005465661,"about_ca_system_score_gemma":0.000051499814,"threshold_uncertainty_score":0.53446436},"labels":[],"label_agreement":null},{"id":"W4384131487","doi":"10.3390/app13148116","title":"Quality of Soybean Seeds after Microwave Drying","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Global Affairs Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Government of Canada; McGill University","keywords":"Germination; Microwave; Agronomy; Microwave power; Horticulture; Materials science; Pulp and paper industry; Environmental science; Biology; Engineering","score_opus":0.01543217460681649,"score_gpt":0.2791619495349917,"score_spread":0.2637297749281752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384131487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660567,0.00015506984,0.00020935854,0.0000879375,0.000052373874,0.00010409376,0.000002847178,0.000015347743,0.03331629],"genre_scores_gemma":[0.99826384,0.00001758784,0.00075063814,0.00015765865,0.000059112586,0.000025797393,0.000010677779,0.0000053050576,0.00070939],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912715,0.000030501998,0.00015469742,0.00026549635,0.00016987511,0.00025227218],"domain_scores_gemma":[0.9996872,0.000029840108,0.000053685075,0.00016786074,0.000019271854,0.000042142114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006349122,0.00008297225,0.00010742632,0.00004678941,0.00007395287,0.0000146155435,0.00019105701,0.000059171067,0.000034697892],"category_scores_gemma":[0.000032341708,0.00007095528,0.000043528216,0.0003111284,0.00030730016,0.0000013768366,0.00009385286,0.000036035453,0.000031589454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022435299,0.000010276175,0.0016931054,0.000018950512,0.00000489237,4.581573e-7,0.00007297906,0.000004414629,0.99319047,0.0009777608,0.0008142703,0.0031900178],"study_design_scores_gemma":[0.00026132748,0.00034350462,0.029722096,0.000005720673,0.0000060390903,0.0000018965944,0.00025777155,0.000036633362,0.9662608,0.0014183009,0.0015072555,0.00017865306],"about_ca_topic_score_codex":0.00001888255,"about_ca_topic_score_gemma":0.000026169759,"teacher_disagreement_score":0.0326069,"about_ca_system_score_codex":0.000002177798,"about_ca_system_score_gemma":0.000049252732,"threshold_uncertainty_score":0.2893472},"labels":[],"label_agreement":null},{"id":"W4384340927","doi":"10.3390/app13148152","title":"The Contribution of Ski Poles to Aerodynamic Drag in Alpine Skiing","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Aerodynamics; Drag; Drag coefficient; Aerodynamic drag; Position (finance); Wind tunnel; Aerodynamic force; Environmental science; Geology; Mathematics; Structural engineering; Engineering; Aerospace engineering","score_opus":0.010478707396801753,"score_gpt":0.2966807704492582,"score_spread":0.2862020630524565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384340927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925937,0.00004817872,0.000047906433,0.0030209858,0.00014247831,0.00018085273,0.0000013781128,0.000023403418,0.003941117],"genre_scores_gemma":[0.999407,0.00003175307,0.00009346139,0.00019411255,0.00004810655,0.000014405537,0.000003404097,0.0000023732841,0.0002053668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929595,0.000004089682,0.00017213686,0.00012534673,0.00020250941,0.00019999406],"domain_scores_gemma":[0.99973536,0.00005442808,0.000043183212,0.00011087984,0.000022872238,0.000033251883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073896605,0.000048179674,0.0001099997,0.00009681149,0.00014096231,0.00001888476,0.00013409845,0.000018610332,0.000010671958],"category_scores_gemma":[0.000037705286,0.000029083005,0.00001871931,0.0007861863,0.00019540155,0.00003381146,0.000048819704,0.00005430474,0.000026315229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007091447,0.00017380896,0.3346819,0.00011647775,0.000052010295,0.000036095826,0.007268127,0.003018764,0.22610328,0.27968937,0.00849523,0.1396558],"study_design_scores_gemma":[0.0006692685,0.00037381455,0.94536126,0.00019994055,0.000013154741,0.000009302465,0.003400424,0.004795871,0.024450451,0.0019245787,0.018629083,0.00017288352],"about_ca_topic_score_codex":0.000067430396,"about_ca_topic_score_gemma":0.00029686128,"teacher_disagreement_score":0.6106793,"about_ca_system_score_codex":0.000017241679,"about_ca_system_score_gemma":0.000047989422,"threshold_uncertainty_score":0.11859705},"labels":[],"label_agreement":null},{"id":"W4384557886","doi":"10.3390/app13148249","title":"The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Educational Games and Gamification","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Disengagement theory; Computer science; Video game; Human–computer interaction; Multimedia; Balance (ability); Cognitive psychology; Psychology","score_opus":0.06288127112032096,"score_gpt":0.3531246711950196,"score_spread":0.2902434000746986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384557886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887114,0.000030757426,0.0027241171,0.0043490776,0.00047295212,0.0008751449,0.000005670499,0.000053305994,0.002777565],"genre_scores_gemma":[0.9973386,0.000018552735,0.0008631741,0.00044322666,0.000026010526,0.0006156935,0.000019446801,0.0000072334756,0.00066806906],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998622,0.000120472156,0.00027153542,0.0003980874,0.00033372827,0.00025415636],"domain_scores_gemma":[0.99856865,0.00095248636,0.00014506876,0.0002643291,0.000035444846,0.0000339921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008319672,0.00009684157,0.0000969322,0.00012917182,0.00018416748,0.00005057631,0.00025263408,0.000043152646,0.000044948796],"category_scores_gemma":[0.0001354333,0.00006674505,0.000030849875,0.0009180775,0.00014008576,0.000053591804,0.000030460207,0.00013590556,0.00019633901],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002491944,0.0014112996,0.0063639893,0.000030473648,0.00004677821,0.0000012466459,0.06376247,0.17138313,0.08610642,0.24529552,0.0024739197,0.42287555],"study_design_scores_gemma":[0.00036140505,0.00020663919,0.9104156,0.000020212248,0.000008169147,1.643657e-7,0.013485366,0.054157935,0.000355277,0.0006777096,0.020166522,0.00014501298],"about_ca_topic_score_codex":0.00006956885,"about_ca_topic_score_gemma":0.00009682331,"teacher_disagreement_score":0.9040516,"about_ca_system_score_codex":0.00008256655,"about_ca_system_score_gemma":0.000037848375,"threshold_uncertainty_score":0.27217844},"labels":[],"label_agreement":null},{"id":"W4384823451","doi":"10.3390/app13148291","title":"Is Orthodontic Treatment an Etiologic Factor for Altered Passive Eruption? A Clinical Study and Systematic Review","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Jazan University","keywords":"Medicine; Cementoenamel junction; Dentistry; Cochrane Library; Cone beam computed tomography; Orthodontics; MEDLINE; Maxilla; Meta-analysis; Computed tomography; Surgery; Internal medicine","score_opus":0.22979633419914977,"score_gpt":0.4682733756982171,"score_spread":0.23847704149906732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384823451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99345547,0.00087927387,0.00035623737,0.00015307013,0.0005202086,0.0042373226,0.00010982662,0.00013413737,0.00015444215],"genre_scores_gemma":[0.99645066,0.0014467502,0.00048142267,0.00048142916,0.0001340509,0.00051934586,0.00001624799,0.000013422956,0.000456685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975449,0.00024261068,0.0007886715,0.00069258414,0.00040289588,0.0003283527],"domain_scores_gemma":[0.9984491,0.00060256687,0.00032907553,0.0003787274,0.00007520875,0.00016532508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019570955,0.00021203983,0.0007805829,0.00009742443,0.00040482782,0.00019072159,0.0002634571,0.00008099386,0.000044207485],"category_scores_gemma":[0.00035292128,0.0001385139,0.0001421558,0.00054719154,0.00020317842,0.00011171287,0.00008280189,0.000071899056,0.00014167358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014185668,0.0019510327,0.92949986,0.040501937,0.0006709573,0.00012074446,0.0037489608,0.000008955549,0.00021735726,0.005487453,0.0018577985,0.015793085],"study_design_scores_gemma":[0.0044578086,0.007901815,0.9649325,0.0050850385,0.0026903944,0.000045301684,0.007807142,0.0026393924,0.00006201813,0.0014952138,0.0014847295,0.0013986198],"about_ca_topic_score_codex":0.000015029248,"about_ca_topic_score_gemma":0.00015908132,"teacher_disagreement_score":0.035432663,"about_ca_system_score_codex":0.000022129183,"about_ca_system_score_gemma":0.00007569789,"threshold_uncertainty_score":0.5648433},"labels":[],"label_agreement":null},{"id":"W4384929751","doi":"10.3390/app13148383","title":"Recent Progress in Hybrid Additive Manufacturing of Metallic Materials","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; New Brunswick Innovation Foundation","keywords":"Manufacturing engineering; Computer science; Process engineering; Mechanical engineering; Materials science; Engineering","score_opus":0.020687219995066963,"score_gpt":0.2438496081499902,"score_spread":0.22316238815492326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384929751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952001,0.00015003514,0.000017229824,0.000028214847,0.0002640778,0.00016931245,0.00008018734,0.00020938543,0.0038814405],"genre_scores_gemma":[0.999107,0.0004909395,0.00020041778,0.000010376858,0.00004939713,0.00008789297,0.000025411364,0.00001356661,0.00001499364],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990583,0.000014183335,0.00023715472,0.00020341849,0.00019642293,0.00029050477],"domain_scores_gemma":[0.9997475,0.00007351771,0.000050695206,0.00008678569,0.000011246442,0.00003021976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038946996,0.00012850165,0.00021877052,0.00018024801,0.000056507295,0.000053432588,0.00022761292,0.000026425458,0.00043008925],"category_scores_gemma":[0.000008949364,0.000107465734,0.000015169297,0.0002852494,0.00019459942,0.00010356585,0.00006148073,0.00004275695,0.00009837851],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011984517,0.00014660435,0.00045734813,0.001828272,0.00015260391,0.00011157613,0.002920335,0.013592787,0.44999263,0.011948651,0.0059734276,0.51275593],"study_design_scores_gemma":[0.000089041016,0.000015272426,0.0044175913,0.000030267029,0.0000034087827,0.0000011920332,0.00011712371,0.000047569134,0.9881423,0.0026988278,0.0043064277,0.0001309527],"about_ca_topic_score_codex":0.00000318203,"about_ca_topic_score_gemma":0.0000038119492,"teacher_disagreement_score":0.5381497,"about_ca_system_score_codex":0.000015808273,"about_ca_system_score_gemma":0.000015174047,"threshold_uncertainty_score":0.47091755},"labels":[],"label_agreement":null},{"id":"W4384929752","doi":"10.3390/app13148391","title":"Exploration of Machine Learning Algorithms for pH and Moisture Estimation in Apples Using VIS-NIR Imaging","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mean squared error; Hyperspectral imaging; Artificial intelligence; Feature selection; Random forest; Partial least squares regression; Machine learning; Artificial neural network; Mathematics; Computer science; Statistics","score_opus":0.050240361094921776,"score_gpt":0.3343668322107889,"score_spread":0.2841264711158671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384929752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9411787,0.00037482491,0.05656531,0.00013788512,0.000020021953,0.00010473243,0.000007932819,0.00007531093,0.001535294],"genre_scores_gemma":[0.98946846,0.000029329602,0.010383049,0.000009267195,0.000021047525,0.000020965113,0.000024451914,0.0000051015145,0.00003833226],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993546,0.0000037692637,0.00014879713,0.00020192828,0.00014891053,0.00014202241],"domain_scores_gemma":[0.99969757,0.0001248275,0.000095350006,0.000048058813,0.000015940632,0.000018280842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926793,0.00007128098,0.00012366424,0.0002011372,0.00016770791,0.000040314637,0.000087244334,0.000028225246,0.000013163369],"category_scores_gemma":[0.000065119566,0.00006418115,0.00001725408,0.0009587564,0.000119576485,0.00017771329,0.00003012012,0.00006287438,8.2727524e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013108058,0.000028752265,0.017567419,0.00015320511,0.000013070472,7.464994e-7,0.0013304725,0.052423943,0.90966886,0.0019151738,0.000024035431,0.016861195],"study_design_scores_gemma":[0.00020453811,0.0000073364886,0.00032750668,0.0000142423,0.000019296785,8.4613265e-7,0.0035795732,0.69432336,0.29876453,0.0026322033,0.000037983682,0.00008855686],"about_ca_topic_score_codex":0.00010093431,"about_ca_topic_score_gemma":0.00001591758,"teacher_disagreement_score":0.64189947,"about_ca_system_score_codex":0.000019131516,"about_ca_system_score_gemma":0.000020005566,"threshold_uncertainty_score":0.26172313},"labels":[],"label_agreement":null},{"id":"W4385253688","doi":"10.3390/app13158561","title":"Novel Technological Advances to Protect People Who Exercise or Work in Thermally Stressful Conditions: A Transition to More Personalized Guidelines","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Work (physics); Heat illness; Mobile phone; Core temperature; Phone; Construct (python library); Applied psychology; Core (optical fiber); Psychology; Medicine; Computer science; Engineering; Geography; Telecommunications","score_opus":0.07272993101474248,"score_gpt":0.3745110960441649,"score_spread":0.3017811650294224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385253688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677635,0.00008674743,0.001002915,0.0101624215,0.00002394483,0.0014320308,0.000022419345,0.00024527012,0.0002478902],"genre_scores_gemma":[0.991729,0.00005328642,0.005079803,0.0018987624,0.000033447715,0.0007981168,0.000013278335,0.000007548489,0.0003867413],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862796,0.000023217617,0.0002596781,0.00041050636,0.00038624753,0.00029241867],"domain_scores_gemma":[0.9994081,0.00021875511,0.000040873456,0.00014336388,0.00006485246,0.00012402853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046400377,0.00014100395,0.00030574537,0.00028266266,0.00016306256,0.00003110927,0.00020775004,0.00008330257,0.00033197438],"category_scores_gemma":[0.00043922107,0.00008431647,0.000047491085,0.0030154206,0.00029680162,0.00006330912,0.000046001947,0.00009901159,0.000092380506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015023633,0.0003747729,0.00045996957,0.00009779339,0.000015965461,0.00003470676,0.0070815193,0.013422055,0.744279,0.005400512,0.0018568782,0.21195318],"study_design_scores_gemma":[0.0034483138,0.0013395124,0.9289264,0.0017822518,0.000045261753,0.000022193411,0.028414704,0.0022493466,0.018941635,0.0037127032,0.010261797,0.0008558916],"about_ca_topic_score_codex":0.000011343056,"about_ca_topic_score_gemma":0.00003063902,"teacher_disagreement_score":0.92846644,"about_ca_system_score_codex":0.000022486869,"about_ca_system_score_gemma":0.00008387697,"threshold_uncertainty_score":0.36348867},"labels":[],"label_agreement":null},{"id":"W4385345928","doi":"10.3390/app13158677","title":"Evaluating the Effect of Road Surface Potholes Using a Microscopic Traffic Model","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Road surface; Traffic flow (computer networking); Surface (topology); Conical surface; Sensitivity (control systems); Computer science; Simulation; Geology; Engineering; Geometry; Computer network; Civil engineering; Mathematics; Electronic engineering; Mechanical engineering","score_opus":0.04117586371077792,"score_gpt":0.31051233273653467,"score_spread":0.26933646902575675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385345928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731714,0.00015157435,0.0007736337,0.000029764939,0.0001060084,0.0002575527,0.0000016122601,0.00020886924,0.0011538303],"genre_scores_gemma":[0.9989397,0.0000063607226,0.0009730148,0.000007663797,0.000013544445,0.000013510387,4.9051323e-7,0.0000071055692,0.000038593786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992712,0.000018448422,0.00012777532,0.00014092008,0.00023034096,0.00021130507],"domain_scores_gemma":[0.9997294,0.000107509004,0.000024309975,0.00011649531,0.000005050811,0.000017255812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009887356,0.00008810817,0.00012272572,0.00004886758,0.00015470768,0.000038253198,0.00023681571,0.000018465606,0.000003417211],"category_scores_gemma":[0.000009178253,0.00005629068,0.00003226661,0.0004682005,0.00012215874,0.000037564012,0.000042076597,0.000048711427,0.000012503782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022493348,0.0000011717713,0.000012780328,0.000029112607,0.000006867972,1.3030817e-7,0.00021748268,0.83637303,0.14298166,0.00012177461,0.000043715077,0.020210037],"study_design_scores_gemma":[0.00018634251,0.000042560237,0.00037316812,0.000013018313,0.00001871612,2.3159045e-7,0.00014310078,0.9943883,0.004721083,0.000040727686,0.000009513079,0.00006324228],"about_ca_topic_score_codex":0.000006942013,"about_ca_topic_score_gemma":0.000006497422,"teacher_disagreement_score":0.15801528,"about_ca_system_score_codex":0.000012206183,"about_ca_system_score_gemma":0.000014096244,"threshold_uncertainty_score":0.22954673},"labels":[],"label_agreement":null},{"id":"W4385346091","doi":"10.3390/app13158659","title":"Enhanced Distributed Non-Linear Voltage Regulation and Power Apportion Technique for an Islanded DC Microgrid","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Inyuvesi Yakwazulu-Natali","keywords":"Microgrid; Voltage droop; Controller (irrigation); Computer science; Converters; Control theory (sociology); Distributed generation; Control engineering; Engineering; Voltage; Control (management); Voltage source; Electrical engineering","score_opus":0.009812791133633994,"score_gpt":0.23302015484173794,"score_spread":0.22320736370810396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385346091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1666919,0.000039356455,0.8314252,0.000028623572,0.000107231404,0.0006985217,0.000032307416,0.00037045372,0.0006064242],"genre_scores_gemma":[0.99509746,0.000044207296,0.004342544,0.000016601978,0.00005183175,0.00020784777,0.00020593585,0.000011188423,0.000022389431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932814,0.00000405243,0.0001549238,0.00021447125,0.00009663607,0.00020176011],"domain_scores_gemma":[0.9997759,0.000025500476,0.00003696302,0.00009177594,0.000028717994,0.000041180985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035069996,0.00009645825,0.00010464763,0.00009498767,0.00016242256,0.000056517056,0.000092821974,0.000065639855,0.000008263077],"category_scores_gemma":[0.000008479566,0.000087901135,0.000019068888,0.00042368035,0.000067997964,0.00015217505,0.000014566045,0.00004025653,0.000007148756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010253368,0.000006005923,0.000018974722,0.00001521703,0.000004168723,1.049999e-7,0.00013398207,0.02985924,0.963933,0.0002606371,0.00031906288,0.00543934],"study_design_scores_gemma":[0.0004713197,0.00008981432,0.0018388777,0.000011847224,0.000011347919,0.0000014953536,0.00018964472,0.4808547,0.5130445,0.0015829531,0.0016666903,0.00023685268],"about_ca_topic_score_codex":0.0000025092716,"about_ca_topic_score_gemma":0.0000072398357,"teacher_disagreement_score":0.82840556,"about_ca_system_score_codex":0.000012885144,"about_ca_system_score_gemma":0.000012283332,"threshold_uncertainty_score":0.3584504},"labels":[],"label_agreement":null},{"id":"W4385420463","doi":"10.3390/app13158803","title":"Simulation and Experimental Studies of Optimization of σ-Value for Block Matching and 3D Filtering Algorithm in Magnetic Resonance Images","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Noise reduction; Algorithm; Noise (video); Median filter; Similarity (geometry); Computer science; Gaussian noise; Mathematics; Pattern recognition (psychology); Artificial intelligence; Image (mathematics); Image processing","score_opus":0.04453496473955269,"score_gpt":0.349991691835723,"score_spread":0.3054567270961703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385420463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3191896,0.0021545875,0.67826706,0.000034177785,0.000054860062,0.00018754792,0.0000014549598,0.000022581482,0.0000881116],"genre_scores_gemma":[0.5569819,0.000024023986,0.4429639,0.0000086281425,0.0000050179983,0.000008176373,1.4915176e-7,0.0000014935626,0.000006648439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993504,0.000028013625,0.0001650912,0.00021020137,0.00013779975,0.00010844853],"domain_scores_gemma":[0.9993743,0.0004594483,0.000060492934,0.000066771114,0.000026604555,0.000012391544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007630455,0.000056906974,0.00012816729,0.00012911487,0.00010006411,0.000040941246,0.00013503645,0.000015031485,2.525385e-7],"category_scores_gemma":[0.00004318882,0.000050561644,0.000008640676,0.00040431187,0.00019296259,0.00020437645,0.00013248138,0.00001934318,8.091504e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009315626,0.000014242004,0.00006536619,0.00005125021,0.0000021679691,0.0000010469747,0.005341784,0.8153487,0.08104079,0.0026044133,0.0000030436422,0.095517874],"study_design_scores_gemma":[0.0002754572,0.00009002404,0.0005828156,0.000038271235,0.0000017303777,8.0947365e-7,0.0006767135,0.93453526,0.060463022,0.0032729453,0.0000038618746,0.000059068778],"about_ca_topic_score_codex":0.000010023729,"about_ca_topic_score_gemma":4.0533354e-7,"teacher_disagreement_score":0.23779234,"about_ca_system_score_codex":0.0000054551433,"about_ca_system_score_gemma":0.000011638855,"threshold_uncertainty_score":0.2061844},"labels":[],"label_agreement":null},{"id":"W4385423973","doi":"10.3390/app13158820","title":"An Explanation of the LSTM Model Used for DDoS Attacks Classification","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Denial-of-service attack; Computer science; Artificial intelligence; Ambiguity; Machine learning; Classifier (UML); Deep learning; Relevance (law); The Internet","score_opus":0.07246282160780187,"score_gpt":0.31040178737454005,"score_spread":0.23793896576673818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385423973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45384005,0.0000050569497,0.54245466,0.0011333418,0.00034124684,0.00036781287,0.0000026707744,0.00015161018,0.0017035673],"genre_scores_gemma":[0.9945997,0.0000063535003,0.005135932,0.00011308169,0.00003706182,0.000061964616,0.000002058039,0.0000022327647,0.000041635685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912214,0.000022295597,0.00014414528,0.00025838785,0.0003119911,0.00014106602],"domain_scores_gemma":[0.99942714,0.000080905964,0.00013960151,0.0002842606,0.000042746684,0.000025368581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464429,0.000052346757,0.000060157465,0.00008916504,0.00040667463,0.00008308468,0.00085053133,0.000039381754,0.0000018563373],"category_scores_gemma":[0.000018329494,0.000036795842,0.000030257932,0.0010932036,0.00012102556,0.00035589974,0.00006355316,0.000042017396,0.000007972846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060187867,0.000034782777,0.0001241611,0.000011313749,0.0000023323225,3.8893013e-8,0.0019554608,0.051114254,0.11070279,0.80216104,0.0016157156,0.03227209],"study_design_scores_gemma":[0.000080528254,0.00003404791,0.0012272637,0.0000031661193,0.000001533873,2.8267323e-7,0.00010831445,0.93362707,0.026707057,0.0378775,0.00028271505,0.00005053431],"about_ca_topic_score_codex":0.0000040541113,"about_ca_topic_score_gemma":0.000019647056,"teacher_disagreement_score":0.8825128,"about_ca_system_score_codex":0.0000119886145,"about_ca_system_score_gemma":0.00005739006,"threshold_uncertainty_score":0.31278536},"labels":[],"label_agreement":null},{"id":"W4385556035","doi":"10.3390/app13158942","title":"DNA Damage of Iron-Gold Nanoparticle Heterojunction Irradiated by kV Photon Beams: A Monte Carlo Study","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Colloidal gold; Monte Carlo method; Materials science; Irradiation; Heterojunction; DNA damage; Nanoparticle; Photon; Photoelectric effect; Radiation; Optoelectronics; DNA; Radiochemistry; Nanotechnology; Chemistry; Optics; Physics; Nuclear physics","score_opus":0.021655731324396237,"score_gpt":0.2821008674649076,"score_spread":0.26044513614051135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385556035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972714,0.000070729344,0.00000444509,0.00016523407,0.00014613997,0.00053858093,0.0000069416374,0.00013017221,0.0016663463],"genre_scores_gemma":[0.99908566,0.000009172664,0.00003245548,0.00021708489,0.000032599673,0.000050276376,0.0000059010367,0.000009315888,0.00055751525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987172,0.000034497352,0.00025581152,0.00030570565,0.0004466124,0.00024019241],"domain_scores_gemma":[0.99950194,0.00006613632,0.00010013666,0.00021155099,0.000025844065,0.00009439026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006112392,0.00010682058,0.00020695585,0.00017865357,0.0001395331,0.000027888795,0.000138344,0.00004427346,0.000059924507],"category_scores_gemma":[0.000022093,0.0000862002,0.00003994295,0.0014564637,0.00019854496,0.00011213866,0.000019688972,0.00007419567,0.00007053763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001738689,0.00047975127,0.03267816,0.000022252745,0.000040048948,0.0000048790316,0.0034254724,0.00043148492,0.9547328,0.00006782417,0.0055379313,0.0024055243],"study_design_scores_gemma":[0.0064439382,0.0043415064,0.32637587,0.00003887326,0.00015534986,0.000005388698,0.021955047,0.01579706,0.6220539,0.00023287369,0.0021246136,0.00047554617],"about_ca_topic_score_codex":0.00017164223,"about_ca_topic_score_gemma":0.0000113188025,"teacher_disagreement_score":0.33267885,"about_ca_system_score_codex":0.000027171067,"about_ca_system_score_gemma":0.000045591725,"threshold_uncertainty_score":0.35151422},"labels":[],"label_agreement":null},{"id":"W4385812180","doi":"10.3390/app13169202","title":"Dimensional Tolerances in Mechanical Assemblies: A Cost-Based Optimization Approach","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Quality (philosophy); Reliability engineering; Heuristic; Component (thermodynamics); Manufacturing cost; Mathematical optimization; Product (mathematics); Industrial engineering; Engineering; Mechanical engineering; Artificial intelligence; Mathematics","score_opus":0.024442043286053993,"score_gpt":0.23970716609377304,"score_spread":0.21526512280771906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385812180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13854897,0.00008822949,0.8252714,0.00026992534,0.00043440989,0.00072272954,0.0000060511475,0.0013199371,0.033338353],"genre_scores_gemma":[0.9611652,0.00001355188,0.038560014,0.00007237115,0.000022625114,0.00011718371,0.000023792585,0.0000095975865,0.000015694357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991374,0.000007997702,0.00015062466,0.00021997286,0.00026109343,0.00022288034],"domain_scores_gemma":[0.99979776,0.00006073478,0.00002052608,0.00007339374,0.000011232834,0.000036334062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029944422,0.00009516833,0.00010796187,0.0002033516,0.00010622466,0.00006967535,0.00016594026,0.00005305123,0.00003264766],"category_scores_gemma":[0.000011179329,0.00008311881,0.000016027838,0.0009646568,0.00005192928,0.00011332553,0.000019951607,0.00007163213,0.000013607333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028858183,0.000010383432,0.00003147409,0.000024098046,0.0000012562623,4.103366e-7,0.00005028358,0.99739283,0.00019366205,0.0012335383,0.000116771655,0.0009423984],"study_design_scores_gemma":[0.00017725822,0.000007987787,0.00015831119,0.000010154443,0.0000015389735,2.589218e-7,0.000076824275,0.9950976,0.0040585287,0.00020208592,0.00009715666,0.00011232991],"about_ca_topic_score_codex":0.0000045640036,"about_ca_topic_score_gemma":0.0000047154454,"teacher_disagreement_score":0.8226162,"about_ca_system_score_codex":0.000020850734,"about_ca_system_score_gemma":0.000022419677,"threshold_uncertainty_score":0.33894867},"labels":[],"label_agreement":null},{"id":"W4385812383","doi":"10.3390/app13169220","title":"Continuous-Flow Microwave Heating Inactivation Kinetics of α-Amylase from Bacillus subtilis and a Comparison with Conventional Heating Conditions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Analytical Chemistry (journal); Microwave heating; Microwave oven; Microwave; Materials science; Chemistry; Chromatography; Physics","score_opus":0.02855293323216658,"score_gpt":0.3042150235141509,"score_spread":0.27566209028198435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385812383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97407377,0.000035446625,0.024280773,0.00008812371,0.000039019327,0.00017372375,0.00006215102,0.00001674679,0.0012302196],"genre_scores_gemma":[0.962325,0.000006706402,0.037176907,0.00007104755,0.00005008943,0.000018185961,0.00029694708,0.000007710183,0.000047424455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991031,0.000053460048,0.00023279582,0.0003043144,0.00015308934,0.0001531963],"domain_scores_gemma":[0.99945813,0.00013114016,0.00017753748,0.00010840206,0.0000848585,0.000039931412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030553562,0.0001020152,0.00015753631,0.00007262801,0.00015959315,0.00003581799,0.00009796115,0.00006458557,0.000025300451],"category_scores_gemma":[0.00009050749,0.0000931801,0.000022410088,0.00034221474,0.00042017354,0.0000088154275,0.00006326151,0.000060427938,0.0000023217779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003181557,0.000029144749,0.003272328,0.000008796519,0.000018843994,2.3349634e-7,0.00017413011,0.0007618927,0.9935657,0.0005741581,0.00025800877,0.0013049673],"study_design_scores_gemma":[0.0004298816,0.00017151271,0.0061853398,0.000022960507,0.000012116324,0.0000025045538,0.0015662048,0.0020507846,0.9886011,0.0004759094,0.00036159542,0.00012010157],"about_ca_topic_score_codex":0.00008273163,"about_ca_topic_score_gemma":0.00005774925,"teacher_disagreement_score":0.012896133,"about_ca_system_score_codex":0.000010628089,"about_ca_system_score_gemma":0.000046921148,"threshold_uncertainty_score":0.37997743},"labels":[],"label_agreement":null},{"id":"W4385812522","doi":"10.3390/app13169198","title":"Photobiomodulation and Orthodontic Treatment with Clear Aligners: A Case Report of Severe Crowding and Agenesis","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Malocclusion; Crowding; Dentistry; Orthodontics; Psychology","score_opus":0.04263343146319197,"score_gpt":0.3251721548046638,"score_spread":0.28253872334147184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385812522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973057,0.000054813885,0.00017064926,0.00022243518,0.0000159076,0.00031097038,0.0000022101697,0.000036798432,0.0018805371],"genre_scores_gemma":[0.99636513,0.00005620464,0.0030548358,0.000029581495,0.00002331246,0.000040812858,0.000008613377,0.0000044468406,0.0004170776],"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","domain_scores_codex":[0.9993507,0.0000068035993,0.00014177417,0.00024612882,0.00015067756,0.000103867744],"domain_scores_gemma":[0.9996432,0.000058577472,0.000070117894,0.0001387886,0.0000229815,0.00006631969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003202619,0.0000693708,0.00014446964,0.000089324196,0.0001503763,0.000012561076,0.000022435343,0.00002587739,0.0000074772624],"category_scores_gemma":[0.000012859118,0.000045115918,0.000010424381,0.0004978757,0.00032774804,0.00004042127,0.00001893808,0.000018721343,0.000001695026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009717698,0.0005902955,0.28173828,0.0011775335,0.0005325196,0.053849246,0.013143162,0.00027396693,0.44078434,0.0092533715,0.0010418294,0.19664368],"study_design_scores_gemma":[0.012157219,0.0059762266,0.25804257,0.00070056715,0.0020902592,0.4070736,0.040126197,0.008619499,0.25550708,0.0014105784,0.007225539,0.0010706596],"about_ca_topic_score_codex":0.000095267846,"about_ca_topic_score_gemma":0.000026595573,"teacher_disagreement_score":0.35322434,"about_ca_system_score_codex":0.00001346271,"about_ca_system_score_gemma":0.000044953453,"threshold_uncertainty_score":0.18397738},"labels":[],"label_agreement":null},{"id":"W4386031913","doi":"10.3390/app13169453","title":"HIPPP: Health Information Portal for Patients and Public","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Science Foundation Ireland","keywords":"Computer science; Domain (mathematical analysis); The Internet; World Wide Web; Misinformation; Context (archaeology); Quality (philosophy); Public domain; Pipeline (software); Health care; Internet privacy; Knowledge management; Computer security","score_opus":0.0827955988575386,"score_gpt":0.44744856013737666,"score_spread":0.36465296127983804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386031913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592299,0.0000113470915,0.0015246831,0.005689641,0.0006854679,0.002221574,0.000116387186,0.00027614913,0.03024485],"genre_scores_gemma":[0.9866378,0.000021955419,0.0013716709,0.011299329,0.0000482683,0.00034171835,0.00019990659,0.0000027422755,0.00007661043],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815226,0.0000578762,0.00086183555,0.00014033736,0.00026675442,0.0005209257],"domain_scores_gemma":[0.99883294,0.00031112452,0.00042825227,0.00010241934,0.0001409846,0.00018426758],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033830188,0.000072280185,0.0001255865,0.00020438933,0.0021828497,0.000057933405,0.00015288485,0.000062755826,0.00008582543],"category_scores_gemma":[0.00034977897,0.000054870477,0.000014977765,0.0006460108,0.000113267575,0.0019150284,0.00007742515,0.00013077431,0.00029695957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003342084,0.000046106354,0.42949945,0.0014868873,0.0000040198197,1.937937e-8,0.016875016,0.0000042264583,0.000002234553,0.19340725,0.10728814,0.25135323],"study_design_scores_gemma":[0.0013691464,0.00020135497,0.4831106,0.000039535298,0.0000018252554,1.4639595e-7,0.0141139375,0.0059335087,0.000003688457,0.0079691345,0.48705772,0.00019939583],"about_ca_topic_score_codex":0.000038259608,"about_ca_topic_score_gemma":0.000017777144,"teacher_disagreement_score":0.3797696,"about_ca_system_score_codex":0.00004110207,"about_ca_system_score_gemma":0.00052319985,"threshold_uncertainty_score":0.9991162},"labels":[],"label_agreement":null},{"id":"W4386113162","doi":"10.3390/app13179503","title":"Aircraft Trajectory Prediction Enhanced through Resilient Generative Adversarial Networks Secured by Blockchain: Application to UAS-S4 Ehécatl","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Adversarial system; Computer science; Trajectory; Blockchain; Artificial neural network; Generative adversarial network; Artificial intelligence; Generative grammar; Deep learning; Data mining; Machine learning; Computer security","score_opus":0.007448631020037727,"score_gpt":0.21957752722292437,"score_spread":0.21212889620288664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386113162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47393042,0.00015029224,0.5130167,0.00051591644,0.00066522387,0.0009246681,0.000033063323,0.0026051104,0.008158599],"genre_scores_gemma":[0.99780947,0.000045145604,0.0012490104,0.00015278878,0.00019621328,0.00039810568,0.000038192786,0.000018794462,0.00009225688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985502,0.000019428342,0.00026302657,0.00048283374,0.0002455023,0.00043904688],"domain_scores_gemma":[0.9995628,0.0000619091,0.00004443047,0.00024060407,0.000020753261,0.0000695086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619676,0.00018532634,0.0001803431,0.00010973944,0.00041808226,0.00002526153,0.00035608947,0.00021819513,0.000016389438],"category_scores_gemma":[0.000009840505,0.00018359841,0.00003753249,0.0012165183,0.00023902276,0.00007668247,0.00006047293,0.00022354913,0.0001260519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001981907,0.000017623193,0.000034918976,0.0000062630097,0.00002179405,5.0180284e-7,0.0014927016,0.84276634,0.13417165,0.0038950155,0.010445154,0.0071281814],"study_design_scores_gemma":[0.0006100962,0.00017267853,0.0010831738,0.000013922738,0.000024973275,0.0000018010394,0.0014841284,0.7483327,0.23507021,0.002761831,0.0099088885,0.0005356261],"about_ca_topic_score_codex":0.000012793835,"about_ca_topic_score_gemma":0.000036793328,"teacher_disagreement_score":0.52387905,"about_ca_system_score_codex":0.00009895918,"about_ca_system_score_gemma":0.000034977245,"threshold_uncertainty_score":0.74869263},"labels":[],"label_agreement":null},{"id":"W4386142339","doi":"10.3390/app13179546","title":"Review of sEMG for Robot Control: Techniques and Applications","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Anhui Provincial Key Research and Development Plan; Nanjing Medical University; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Robot; Artificial intelligence; Computer science; Signal processing; Feature (linguistics); Control engineering; SIGNAL (programming language); Feature extraction; Control (management); Robot control; Robotics; Engineering; Mobile robot; Digital signal processing; Computer hardware","score_opus":0.01889879146912625,"score_gpt":0.26967083275583276,"score_spread":0.2507720412867065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386142339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012443522,0.18491957,0.42996696,0.008484622,0.0003259084,0.015166574,0.00014983918,0.0076431567,0.34089985],"genre_scores_gemma":[0.9629247,0.031274322,0.0036060568,0.00037693678,0.000056264205,0.0017282682,0.0000048532816,0.000008856469,0.0000196974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996756,0.0000019385875,0.00009206439,0.00008144643,0.00005568904,0.000093308125],"domain_scores_gemma":[0.9998198,0.00007900219,0.00001889274,0.00005173181,0.000017033259,0.000013535944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020848835,0.000042393327,0.00009485191,0.00006870881,0.000083846215,0.0000063674793,0.00006753783,0.0000117925765,0.0000019497934],"category_scores_gemma":[0.000005541083,0.000035543733,0.000018186245,0.0005204064,0.000089646834,0.000027321883,0.0000074194822,0.000017711036,5.3750995e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003365604,0.000013958587,0.00018987397,0.004722357,0.000059435726,6.4432854e-8,0.00010196212,0.00017917098,0.05293077,0.08379376,0.030206988,0.8277983],"study_design_scores_gemma":[0.00063243305,0.00015862739,0.004598506,0.0010614012,0.000077223725,0.0000030366639,0.00039964824,0.002780527,0.085440665,0.020246238,0.88404256,0.00055911514],"about_ca_topic_score_codex":8.4268083e-7,"about_ca_topic_score_gemma":7.8665175e-7,"teacher_disagreement_score":0.95048124,"about_ca_system_score_codex":0.0000023762068,"about_ca_system_score_gemma":0.000004443146,"threshold_uncertainty_score":0.14494315},"labels":[],"label_agreement":null},{"id":"W4386168035","doi":"10.3390/app13179632","title":"Special Issue: New Developments and Prospects in Clean and Renewable Energies","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Environmental science; Natural resource economics; Economics; Engineering; Electrical engineering","score_opus":0.020498305840739313,"score_gpt":0.2782912149688909,"score_spread":0.2577929091281516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386168035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7222027,0.000038585767,9.4998995e-7,0.0005275316,0.000089009176,0.000096101045,2.7432478e-7,0.000051643256,0.27699322],"genre_scores_gemma":[0.98766583,0.00010969374,0.00049049756,0.0000819587,0.00038701674,0.000017816277,0.0000019759123,0.00000527991,0.011239951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987586,0.000021119065,0.00013272681,0.0003695659,0.00029649495,0.00042147955],"domain_scores_gemma":[0.9996998,0.00006678745,0.000018067289,0.00009015482,0.000015939197,0.0001092724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053449813,0.00009383421,0.00012651706,0.00016434443,0.0002520445,0.0001261912,0.00018228553,0.00005327772,0.00007296255],"category_scores_gemma":[0.00008704513,0.00008004109,0.000008130986,0.0011532658,0.00037917163,0.00012619988,0.00021471182,0.0000642302,0.000033994726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009040077,0.00004296323,0.026070524,0.00006033661,0.000012284468,0.00004250006,0.0041469573,0.013387827,0.0013194097,0.5271878,0.019602558,0.40803644],"study_design_scores_gemma":[0.00125002,0.00013240555,0.12719437,0.000028907352,0.0000039570377,0.0000069394687,0.01445546,0.0007557437,0.008496933,0.3394717,0.5076918,0.0005117471],"about_ca_topic_score_codex":0.0035461285,"about_ca_topic_score_gemma":0.007965361,"teacher_disagreement_score":0.48808926,"about_ca_system_score_codex":0.000036014844,"about_ca_system_score_gemma":0.00018039042,"threshold_uncertainty_score":0.5360709},"labels":[],"label_agreement":null},{"id":"W4386223903","doi":"10.3390/app13179701","title":"The Influence of Stimulus Composition and Scoring Method on Objective Listener Assessments of Tracheoesophageal Speech Accuracy","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Intelligibility (philosophy); Audiology; Speech recognition; Rhyme; Computer science; Headphones; Stimulus (psychology); Psychology; Linguistics; Cognitive psychology; Medicine; Acoustics","score_opus":0.03433580658313622,"score_gpt":0.3808869391791692,"score_spread":0.346551132596033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386223903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942617,0.000038804246,0.00011770046,0.0002440345,0.000031018797,0.00024576072,0.0000024653036,0.00001982168,0.0050387233],"genre_scores_gemma":[0.9970402,0.000048925824,0.0027359573,0.000099432735,0.000013947678,0.000011741451,0.000001790252,0.000003743952,0.000044271605],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999047,0.000031980413,0.00017897213,0.00019437092,0.00039534012,0.00015237529],"domain_scores_gemma":[0.9989989,0.00067693973,0.000112572714,0.00012202384,0.000052788528,0.000036790156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086230563,0.00007248518,0.00015930663,0.00009890864,0.00018665873,0.000019501054,0.00012464225,0.000030212579,0.0000026995042],"category_scores_gemma":[0.000087154454,0.00004585188,0.000026370339,0.00058538927,0.00034632615,0.00008728348,0.000042993925,0.00009076223,0.0000038688795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035768855,0.00021523543,0.023034494,0.00016787018,0.00009133626,0.000014681633,0.0024077285,0.0074664783,0.77104753,0.0135711,0.00008958592,0.18153629],"study_design_scores_gemma":[0.0011193268,0.00071841443,0.7558353,0.00014221079,0.000077053,0.000009845575,0.0056365062,0.003344761,0.22951835,0.003432385,0.000033440523,0.00013241771],"about_ca_topic_score_codex":0.00005864085,"about_ca_topic_score_gemma":0.000008190216,"teacher_disagreement_score":0.7328008,"about_ca_system_score_codex":0.000012754062,"about_ca_system_score_gemma":0.00006732518,"threshold_uncertainty_score":0.18697853},"labels":[],"label_agreement":null},{"id":"W4386250627","doi":"10.3390/app13179719","title":"Low-Frequency Vibrations of Saccharides Using Terahertz Time-Domain Spectroscopy and Ab-Initio Simulations","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Terahertz technology and applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Consiglio Nazionale delle Ricerche","keywords":"Intermolecular force; Terahertz radiation; Terahertz time-domain spectroscopy; Intramolecular force; van der Waals force; Chemistry; Terahertz spectroscopy and technology; Density functional theory; Hydrogen bond; Spectroscopy; Molecular vibration; Molecular dynamics; Infrared spectroscopy; Molecular physics; Computational chemistry; Materials science; Molecule; Physics; Optoelectronics; Stereochemistry; Organic chemistry","score_opus":0.016841476302342225,"score_gpt":0.25508716660322955,"score_spread":0.23824569030088733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386250627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843433,0.00003961043,0.010567275,0.0001518105,0.00003564624,0.00017100273,0.00002859554,0.0004623034,0.004200476],"genre_scores_gemma":[0.97982585,0.000014814183,0.020061221,0.000021060965,0.00002186486,0.00002588773,0.000008421564,0.0000092836135,0.000011579859],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935997,0.0000054753064,0.00017656048,0.00017248842,0.00010072739,0.00018476113],"domain_scores_gemma":[0.99967194,0.00010437343,0.00003250649,0.000147839,0.000012692476,0.000030660514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113279595,0.00008989957,0.00010863522,0.00019626741,0.00030662597,0.000034028606,0.00016873659,0.000060017795,0.00006699134],"category_scores_gemma":[0.000009182834,0.00008856996,0.000017047796,0.0009423895,0.0003649757,0.000133217,0.000030720224,0.00007583795,0.0000475481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.079448e-7,0.00000972079,0.00045399286,0.000009258048,0.0000073613596,3.135463e-7,0.00019963918,0.005562015,0.9619348,0.03069625,0.000100953395,0.0010252676],"study_design_scores_gemma":[0.00027304704,0.00003984723,0.00426361,0.000039342955,0.000024946065,0.00000657078,0.0006041985,0.21435827,0.58756375,0.19189169,0.0005537549,0.00038097345],"about_ca_topic_score_codex":0.000005949039,"about_ca_topic_score_gemma":0.000010358316,"teacher_disagreement_score":0.37437105,"about_ca_system_score_codex":0.000013453879,"about_ca_system_score_gemma":0.000023564942,"threshold_uncertainty_score":0.36117783},"labels":[],"label_agreement":null},{"id":"W4386282920","doi":"10.3390/app13179768","title":"Robotic Systems and Navigation Techniques in Orthopedics: A Historical Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sturgeon Community Hospital; University of Alberta","funders":"Government of Alberta","keywords":"Robotics; Artificial intelligence; Software deployment; Navigation system; Robotic surgery; Orthopedic surgery; Robot; Computer science; Medicine; Medical physics; Surgery; Software engineering","score_opus":0.0787329782625896,"score_gpt":0.3312531980703932,"score_spread":0.2525202198078036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386282920","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.6291115e-7,0.995981,0.00080937,0.000015942976,0.00014009512,0.0010034429,0.0000022448257,0.00031612406,0.0017314132],"genre_scores_gemma":[0.000013474731,0.9980552,0.0007190306,0.000008826189,0.00007807435,0.0010264831,0.000017670616,0.000026405147,0.000054818054],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883956,0.000017341508,0.00047083595,0.00029462494,0.00019253587,0.000185119],"domain_scores_gemma":[0.99951863,0.000163793,0.000085870655,0.00017073279,0.000010079968,0.0000508763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057662715,0.0001906015,0.0007533255,0.00017048747,0.000070195856,0.000053989108,0.00023709035,0.000120238765,0.0000013751401],"category_scores_gemma":[0.000018069135,0.00015370555,0.00005127725,0.0012366342,0.000065042106,0.00003652751,0.00004377703,0.00020913687,0.000039592433],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.8334456e-8,0.000009972079,0.0000021226926,0.08896068,0.000015270709,0.0000042511697,0.000022228482,0.0005574594,0.000001037375,0.014115489,0.003443558,0.89286786],"study_design_scores_gemma":[0.00001129425,0.000005788818,4.4766784e-7,0.026788361,0.000091383816,0.000013633832,0.0000060560355,0.00073666725,1.5190905e-7,0.00016286704,0.9719616,0.00022173954],"about_ca_topic_score_codex":0.000018291723,"about_ca_topic_score_gemma":0.0000033506778,"teacher_disagreement_score":0.9685181,"about_ca_system_score_codex":0.00018687687,"about_ca_system_score_gemma":0.000056323493,"threshold_uncertainty_score":0.6267931},"labels":[],"label_agreement":null},{"id":"W4386457077","doi":"10.3390/app131810006","title":"Sex-Related Variations in the Brain Motor-Network Connectivity at Rest during Puberty","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Universidad Nacional Autónoma de México; University of Waterloo; Consejo Nacional de Ciencia y Tecnología; QIMR Berghofer Medical Research Institute","keywords":"Resting state fMRI; Precuneus; Psychology; Neuroscience; Cognition; Betweenness centrality; Lateralization of brain function; Developmental psychology; Centrality","score_opus":0.043449993176665064,"score_gpt":0.26794677912205916,"score_spread":0.2244967859453941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386457077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94658756,0.000011284495,0.000018437278,0.023425043,0.00038193853,0.00048642626,0.000007970363,0.00023362708,0.028847724],"genre_scores_gemma":[0.9963375,0.000007908548,0.000025216597,0.0024226885,0.00010349954,0.000199451,0.0000013350826,0.000009342322,0.00089306245],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99746925,0.00031539422,0.00023053373,0.0007664685,0.00065692427,0.00056140625],"domain_scores_gemma":[0.984285,0.015264594,0.000095046074,0.00029928872,0.000013978118,0.000042072013],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002705577,0.00015762684,0.00017588095,0.00017716196,0.0022208786,0.00015680911,0.0005957799,0.0000600175,0.000034177618],"category_scores_gemma":[0.005394435,0.000113101545,0.000049149927,0.0037570526,0.0005549055,0.00027119537,0.00034869811,0.00023074709,0.00030940847],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008407602,0.00020595016,0.031166868,0.00002708964,0.000024116765,0.00006550309,0.0074565797,0.028663402,0.5018401,0.40781453,0.021882428,0.00076931453],"study_design_scores_gemma":[0.00085279497,0.00011183466,0.8813697,0.00002115969,0.000010334695,0.00004279989,0.0022986955,0.008276996,0.014674698,0.08844033,0.0033820055,0.0005186432],"about_ca_topic_score_codex":0.000060123544,"about_ca_topic_score_gemma":0.00057994766,"teacher_disagreement_score":0.85020286,"about_ca_system_score_codex":0.000099128774,"about_ca_system_score_gemma":0.0000594119,"threshold_uncertainty_score":0.9990781},"labels":[],"label_agreement":null},{"id":"W4386638315","doi":"10.3390/app131810208","title":"Remediation Opportunities for Arsenic-Contaminated Gold Mine Waste","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Environment Protection Authority Victoria; RMIT University","keywords":"Phytoremediation; Environmental science; Environmental remediation; Hyperaccumulator; Soil contamination; Rhizosphere; Native plant; Soil water; Contamination; Ecology; Geology; Soil science; Biology; Introduced species","score_opus":0.07744184493135696,"score_gpt":0.26895871092610485,"score_spread":0.19151686599474788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386638315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95884866,0.0000092756145,0.00038660533,0.0012429595,0.00025823613,0.00048085378,0.000010516745,0.00012635363,0.03863654],"genre_scores_gemma":[0.9910374,0.000045936107,0.0024247805,0.00038476774,0.00007090597,0.00022164304,0.000022133056,0.000012776295,0.0057796338],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831957,0.000027768161,0.00024143692,0.00042555554,0.00055029226,0.00043540282],"domain_scores_gemma":[0.99938977,0.0001977553,0.000091277456,0.00021311283,0.0000030798271,0.000105004496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015114592,0.00013262937,0.00013803,0.000078024284,0.00024515117,0.00004003792,0.00038442705,0.000055172477,0.00033196877],"category_scores_gemma":[0.000066766355,0.0001146729,0.000041502317,0.0005303679,0.0006901905,0.00018863035,0.0001795259,0.000053886717,0.0007465406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004749429,0.00017126853,0.005647141,0.000040144598,0.000028569924,0.00001921614,0.0024013976,0.024935504,0.66498756,0.010861409,0.09791601,0.19294429],"study_design_scores_gemma":[0.0027057703,0.0008869029,0.05562208,0.00004828779,0.000115434,0.000013714679,0.031702984,0.07629573,0.36814842,0.020291911,0.44192556,0.0022432015],"about_ca_topic_score_codex":0.000023237542,"about_ca_topic_score_gemma":0.00004265346,"teacher_disagreement_score":0.34400955,"about_ca_system_score_codex":0.00008717867,"about_ca_system_score_gemma":0.000016551397,"threshold_uncertainty_score":0.9595518},"labels":[],"label_agreement":null},{"id":"W4386781331","doi":"10.3390/app131810327","title":"Construction of Geosynthetic–Reinforced Pavements and Evaluation of Their Impacts","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geogrid; Geosynthetics; Subgrade; Geotechnical engineering; Asphalt; Geomembrane; Geotextile; Rut; Reinforcement; Engineering; Materials science; Structural engineering; Composite material","score_opus":0.022977495525895612,"score_gpt":0.24189614450481842,"score_spread":0.2189186489789228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386781331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966195,0.000024876077,0.00097364513,0.0000066463185,0.000056432855,0.0000966548,0.0000023527327,0.000086029504,0.0021338114],"genre_scores_gemma":[0.99981123,0.00003204193,0.00013758222,9.007294e-7,0.000003932503,0.000007614859,0.0000023826017,0.0000029403786,0.0000013591084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995066,0.0000052273926,0.00012463181,0.00006392695,0.00021740957,0.00008219619],"domain_scores_gemma":[0.99982876,0.000038533475,0.00002521516,0.00005826338,0.00003064135,0.000018619687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006160095,0.00004371725,0.00007175551,0.000084389656,0.000026650687,0.0000058454384,0.00004809468,0.000027240003,0.0000073037045],"category_scores_gemma":[0.000030759973,0.000036258647,0.000009987087,0.0003818241,0.000114433504,0.000039319893,0.000011759941,0.000021417929,0.0000013864146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.361021e-7,0.0000011828092,0.00006614187,0.00003664795,0.000004441171,7.867022e-9,0.00021108071,0.8987039,0.0813033,0.0046975417,0.0000041936064,0.014970977],"study_design_scores_gemma":[0.00012123607,0.000017590462,0.003936795,0.000016259386,0.0000079920555,3.6865492e-7,0.00038408933,0.92319393,0.07053653,0.0017255675,0.000011995008,0.000047631765],"about_ca_topic_score_codex":0.000005482441,"about_ca_topic_score_gemma":0.0000011216084,"teacher_disagreement_score":0.024490096,"about_ca_system_score_codex":0.00000813153,"about_ca_system_score_gemma":0.000011716928,"threshold_uncertainty_score":0.14785847},"labels":[],"label_agreement":null},{"id":"W4386880206","doi":"10.3390/app131810488","title":"Time-Dependent, Two-Photon Rabi Frequency Shift Observed in Multi-Frequency Raman Spectra","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raman scattering; Spectrogram; Raman spectroscopy; Frequency-resolved optical gating; Physics; Photon; Atomic physics; Pulse (music); Coherent anti-Stokes Raman spectroscopy; X-ray Raman scattering; Frequency shift; Spectral line; Optics; Ultrashort pulse; Molecular physics; Computational physics; Bandwidth-limited pulse; Laser; Quantum mechanics","score_opus":0.04256651010966719,"score_gpt":0.3028373000779035,"score_spread":0.2602707899682363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386880206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173088,0.000006745054,0.0012968619,0.00072010246,0.0001428334,0.0004685884,0.000051747822,0.00015688362,0.07984745],"genre_scores_gemma":[0.9962239,0.0000015315356,0.0021584528,0.00009742297,0.00010929663,0.0003199582,0.0000540962,0.000015410218,0.0010199196],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998415,0.0000282373,0.00032707563,0.0005281147,0.0002478164,0.00045376536],"domain_scores_gemma":[0.9993475,0.00010479086,0.00011179109,0.00032742383,0.000020178095,0.00008831013],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003937495,0.00018200326,0.00018781859,0.00018622952,0.00038166775,0.00018034568,0.00056858995,0.00003124257,0.0018905399],"category_scores_gemma":[0.0000037879781,0.00016196011,0.00007285469,0.0011574841,0.00022028213,0.00026674915,0.0000819332,0.00020193981,0.0032693997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011498875,0.0011681578,0.15278813,0.000028260598,0.000081516344,0.000015039381,0.0026778807,0.0028525838,0.47799277,0.35385486,0.0032877654,0.0052415035],"study_design_scores_gemma":[0.0059305737,0.00019630908,0.18666701,0.00017908785,0.00009731053,0.0000060705183,0.00869009,0.020240944,0.16372634,0.6071754,0.004180016,0.002910824],"about_ca_topic_score_codex":0.0014986165,"about_ca_topic_score_gemma":0.00031623038,"teacher_disagreement_score":0.31426644,"about_ca_system_score_codex":0.00003645614,"about_ca_system_score_gemma":0.0000843803,"threshold_uncertainty_score":0.9990219},"labels":[],"label_agreement":null},{"id":"W4386895318","doi":"10.3390/app131810470","title":"Enhancing Early Dementia Detection: A Machine Learning Approach Leveraging Cognitive and Neuroimaging Features for Optimal Predictive Performance","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Janssen Alzheimer Immunotherapy Research And Development; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; University of Southern California; Bristol-Myers Squibb; Eli Lilly and Company; Biogen; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Machine learning; Artificial intelligence; Dementia; Neuroimaging; Computer science; Support vector machine; Cognition; AdaBoost; Artificial neural network; Benchmark (surveying); Naive Bayes classifier; Psychology; Disease; Medicine; Neuroscience","score_opus":0.023781724814255993,"score_gpt":0.2890402966174187,"score_spread":0.2652585718031627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386895318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681256,0.00017010937,0.023103869,0.0000970533,0.000049954026,0.0008748714,0.000003809517,0.00016388079,0.0074108588],"genre_scores_gemma":[0.9976863,0.000056303455,0.0013593859,0.00009227129,0.00009141493,0.00029609262,0.000018565981,0.000015766735,0.0003838614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829906,0.000034017026,0.00015973767,0.00052940985,0.00047164978,0.000506145],"domain_scores_gemma":[0.9994812,0.00018910649,0.000061955805,0.000056294295,0.00010061087,0.00011081245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010137074,0.00015306755,0.00018061648,0.00029613564,0.0009972949,0.0001566539,0.00009099638,0.000034090957,0.000013650906],"category_scores_gemma":[0.00009514269,0.00013004194,0.00004264427,0.0007171328,0.00033194752,0.00021947682,0.00012785588,0.00027720263,0.000009819416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019053781,0.00024609905,0.56271785,0.0008602415,0.0005344255,0.000033106815,0.011386448,0.001056767,0.22021106,0.00024338746,0.00007310664,0.20073211],"study_design_scores_gemma":[0.0028867864,0.0018348041,0.73081917,0.00015313877,0.00023585818,0.000079908736,0.009020542,0.13174595,0.122645326,0.00007701245,0.00018078946,0.00032071723],"about_ca_topic_score_codex":0.000013276217,"about_ca_topic_score_gemma":0.0000018425209,"teacher_disagreement_score":0.2004114,"about_ca_system_score_codex":0.000017498905,"about_ca_system_score_gemma":0.00006717753,"threshold_uncertainty_score":0.7670487},"labels":[],"label_agreement":null},{"id":"W4387056359","doi":"10.3390/app131910675","title":"Vision- and Lidar-Based Autonomous Docking and Recharging of a Mobile Robot for Machine Tending in Autonomous Manufacturing Environments","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited; Ministero dello Sviluppo Economico; Government of Alberta","keywords":"Mobile robot; Robot; Computer science; Lidar; Real-time computing; Artificial intelligence; Object detection; Computation; Simulation; Computer vision; Remote sensing; Pattern recognition (psychology)","score_opus":0.013562543772872108,"score_gpt":0.24238632309814775,"score_spread":0.22882377932527564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387056359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96227926,0.00012468954,0.036801957,0.00002985693,0.0000696975,0.00034815105,0.000005924988,0.0000904336,0.00025003246],"genre_scores_gemma":[0.99465615,0.000038442497,0.0052061467,0.000014167838,0.000011076092,0.000043642816,0.000007935357,0.00001468547,0.000007780598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919355,0.0000073718156,0.00021333713,0.00023553899,0.000119383745,0.00023082952],"domain_scores_gemma":[0.9996822,0.00015468021,0.000042454776,0.000077093995,0.0000023193425,0.000041253214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039394933,0.000112907706,0.00016356022,0.00025371806,0.00013642864,0.000040960655,0.00008308219,0.00004334988,0.0000036094332],"category_scores_gemma":[0.000008134847,0.00010485464,0.000016226424,0.00020187937,0.000087808745,0.000074807635,0.000033746175,0.000057522713,0.0000011793702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032427608,0.0000071091754,0.000986382,0.00006353829,0.0000031852949,0.0000011024122,0.00023644362,0.95399415,0.031151144,0.00024273575,0.000001953101,0.013309034],"study_design_scores_gemma":[0.0003104672,0.000046245776,0.0034017488,0.00004160272,0.000005002384,8.2845435e-7,0.00019295022,0.9390055,0.056429997,0.00031070254,0.00012720995,0.00012773935],"about_ca_topic_score_codex":0.000015860689,"about_ca_topic_score_gemma":0.000009125511,"teacher_disagreement_score":0.032376867,"about_ca_system_score_codex":0.000036340625,"about_ca_system_score_gemma":0.000010863315,"threshold_uncertainty_score":0.4275848},"labels":[],"label_agreement":null},{"id":"W4387101011","doi":"10.3390/app131910729","title":"Detection and Classification of Buildings by Height from Single Urban High-Resolution Remote Sensing Images","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Shadow (psychology); Remote sensing; Beijing; Computer science; Geography; Artificial intelligence; Change detection; Computer vision","score_opus":0.019792637584718675,"score_gpt":0.21978770631476793,"score_spread":0.19999506873004927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387101011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8140017,0.00014204365,0.18364215,0.00013537142,0.00021251345,0.00013500932,0.000008842473,0.00042249638,0.0012998718],"genre_scores_gemma":[0.9837473,0.00004467337,0.016080149,0.000008616147,0.0000502797,5.3178485e-7,0.000020746798,0.000018003197,0.000029679952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989521,0.000021806729,0.00023669536,0.00032518536,0.0002566512,0.00020758902],"domain_scores_gemma":[0.9995252,0.0001246024,0.00009684539,0.00017714986,0.00003907346,0.000037140635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032098682,0.00012267225,0.00013759283,0.00017957592,0.00018278534,0.00009420766,0.00010111324,0.00008133883,0.0000020138664],"category_scores_gemma":[0.00004664396,0.00012490031,0.00001910267,0.0007797408,0.00030467263,0.00019486944,0.000025312173,0.00008721881,0.000024410163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030297522,0.000002522848,0.000010947126,0.00001005871,0.0000044854232,2.1976413e-7,0.00011459647,0.00050057843,0.87526965,0.000063203646,0.0006625559,0.123358175],"study_design_scores_gemma":[0.000103458326,0.000015672105,0.005328211,0.000021767037,0.000011242986,0.0000014504536,0.00014862757,0.40718356,0.58490086,0.0011471674,0.0010110309,0.00012694187],"about_ca_topic_score_codex":0.00010454503,"about_ca_topic_score_gemma":0.000012012506,"teacher_disagreement_score":0.406683,"about_ca_system_score_codex":0.00006543726,"about_ca_system_score_gemma":0.000009248635,"threshold_uncertainty_score":0.5093287},"labels":[],"label_agreement":null},{"id":"W4387231110","doi":"10.3390/app131910893","title":"Advances in Riblets Design","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Drag; Boundary layer; Turbulence; Marine engineering; Aerospace engineering; Wind tunnel; Mechanical engineering; Noise control; Aviation; Engineering; Noise (video); Computer science; Acoustics; Mechanics; Noise reduction; Physics","score_opus":0.018413490053280683,"score_gpt":0.24298772391320234,"score_spread":0.22457423385992165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387231110","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3997758,0.0009890589,0.19288589,0.00014785165,0.0015020648,0.00047620476,0.000006574627,0.0014609572,0.40275562],"genre_scores_gemma":[0.99483496,0.0005128943,0.0045466046,0.000018337727,0.000028765158,0.000023943447,8.802186e-7,0.0000067161886,0.000026907554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994161,0.0000037946756,0.00009023176,0.00012774787,0.0001357489,0.00022637384],"domain_scores_gemma":[0.9998089,0.000089496636,0.000007803368,0.000066873166,0.0000035195999,0.00002341238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036813936,0.00006176224,0.00006772577,0.00011251656,0.000066852386,0.000028999311,0.00019664362,0.000024151917,0.000012763326],"category_scores_gemma":[0.000009756318,0.0000549256,0.000008761171,0.0008672178,0.000084684645,0.000080862796,0.000023118895,0.000059810558,0.00013240127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.854161e-7,0.0000022724757,0.00008683179,0.000007823153,5.385094e-7,0.000003034448,0.00007294063,0.97008026,0.0047291736,0.010764455,0.0004075765,0.0138446065],"study_design_scores_gemma":[0.000078955156,0.000010170351,0.0006025233,0.000009517998,0.0000010350115,5.413299e-7,0.00019684744,0.9704127,0.0009991447,0.02551068,0.0020405124,0.00013738993],"about_ca_topic_score_codex":8.8947917e-7,"about_ca_topic_score_gemma":0.000011700443,"teacher_disagreement_score":0.59505916,"about_ca_system_score_codex":0.000013233091,"about_ca_system_score_gemma":0.000010046975,"threshold_uncertainty_score":0.2239801},"labels":[],"label_agreement":null},{"id":"W4387235073","doi":"10.3390/app131910863","title":"Real Fluid Modeling and Simulation of the Structures and Dynamics of Condensation in CO2 Flows Shocked Inside a de Laval Nozzle, Considering the Effects of Impurities","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Condensation; Nozzle; Supercritical fluid; Mechanics; Impurity; Materials science; Computational fluid dynamics; Flow (mathematics); Thermodynamics; Physics","score_opus":0.009892621630097718,"score_gpt":0.22737949880278727,"score_spread":0.21748687717268955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387235073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982474,0.000042535536,0.0013915902,0.000017817782,0.000047197558,0.00013559882,0.0000029983214,0.000018263372,0.00009663725],"genre_scores_gemma":[0.99968636,0.000078069075,0.00021965966,0.0000037052275,0.0000039061483,0.0000030655267,9.4360354e-7,0.0000034609227,8.083822e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995841,0.000015226105,0.00014910348,0.00006533637,0.000110911904,0.00007536456],"domain_scores_gemma":[0.9995631,0.00031898203,0.000032883978,0.000060127197,0.000015285328,0.000009598177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022613474,0.00004930284,0.00009463672,0.000070564085,0.000049751754,0.000010991031,0.00006241712,0.000029598452,3.2083517e-7],"category_scores_gemma":[0.000052721214,0.000034354234,0.0000107343185,0.00023023615,0.00018709563,0.000036072757,0.00003907001,0.000048867827,1.8997968e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033910267,0.000001032087,0.0020895035,0.000096107535,0.0000031487707,9.002658e-8,0.0018666638,0.94627786,0.041673347,0.007526012,3.110655e-7,0.00046251487],"study_design_scores_gemma":[0.00013341809,0.00000774447,0.0136221815,0.000027612215,0.0000053870376,6.211948e-7,0.0013058017,0.97169983,0.0034156267,0.009748307,9.095409e-8,0.000033374097],"about_ca_topic_score_codex":0.00009140364,"about_ca_topic_score_gemma":0.0006073861,"teacher_disagreement_score":0.038257718,"about_ca_system_score_codex":0.000012777864,"about_ca_system_score_gemma":0.000020754109,"threshold_uncertainty_score":0.14009249},"labels":[],"label_agreement":null},{"id":"W4387343375","doi":"10.3390/app131910950","title":"A Blockchain-Powered Traffic Management System for Unmanned Aerial Vehicles","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Drone; Blockchain; Leverage (statistics); Computer science; Computer security; Real-time computing; Artificial intelligence","score_opus":0.013434692624187545,"score_gpt":0.2214912062740469,"score_spread":0.20805651364985936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387343375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255347,0.00007024303,0.041164365,0.00018955859,0.0007561869,0.0017852588,0.000027096894,0.0027688802,0.027703715],"genre_scores_gemma":[0.9925824,0.000012261997,0.006686184,0.000009928318,0.00007747368,0.00051354704,0.000012622534,0.000012767549,0.00009280515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931765,0.0000029546131,0.00013547379,0.00018776809,0.00013434784,0.00022183],"domain_scores_gemma":[0.9997915,0.000032120344,0.000019409923,0.000112165486,0.0000111188265,0.000033684464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024045685,0.00008152789,0.00008480558,0.00012235626,0.00023036248,0.00006411841,0.00019375389,0.000031798918,0.0000046640926],"category_scores_gemma":[0.0000012796764,0.00007580025,0.000025288997,0.0007326246,0.000049781236,0.000022325636,0.000020154974,0.000020796258,0.00007788048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057043844,0.000007722109,0.0000025046038,0.00009815814,0.000015195883,4.5264875e-7,0.0002019722,0.933113,0.0026531753,0.051099893,0.00195492,0.010847298],"study_design_scores_gemma":[0.00044287715,0.000021357133,0.00012438354,0.000015813714,0.00001752805,7.340448e-7,0.0016742642,0.98767984,0.0027833527,0.00043057193,0.0066206427,0.00018860927],"about_ca_topic_score_codex":9.087738e-7,"about_ca_topic_score_gemma":0.0000030691047,"teacher_disagreement_score":0.067047715,"about_ca_system_score_codex":0.000027507018,"about_ca_system_score_gemma":0.0000065379854,"threshold_uncertainty_score":0.30910444},"labels":[],"label_agreement":null},{"id":"W4387572923","doi":"10.3390/app132011189","title":"A Review of Image Inpainting Methods Based on Deep Learning","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Inpainting; Artificial intelligence; Computer science; Deep learning; Image (mathematics); Computer vision; Field (mathematics); Feature (linguistics); Image restoration; Pattern recognition (psychology); Feature extraction; Image processing; Mathematics","score_opus":0.08770687798474226,"score_gpt":0.399027600227316,"score_spread":0.31132072224257373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387572923","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.6695773e-9,0.5720563,0.42035797,0.00004081465,0.00014049838,0.00033045377,6.7708726e-7,0.000077305594,0.006995998],"genre_scores_gemma":[0.0000010691845,0.692913,0.30660686,0.0002761181,0.00007275132,0.00008004911,0.0000029471594,0.000015691418,0.000031515832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996367,0.0009805263,0.00077927375,0.00091410696,0.0005193748,0.0004397302],"domain_scores_gemma":[0.9959626,0.0024468317,0.00085288484,0.0005743329,0.00008108828,0.00008222699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0075817695,0.0003766623,0.0015482795,0.00034933703,0.0003633073,0.00019255785,0.0021272611,0.00010851153,0.000031124473],"category_scores_gemma":[0.0009324864,0.00026694412,0.00043082205,0.0032624349,0.0003056666,0.00016786343,0.00042603532,0.00039229947,0.00010671656],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.8348821e-7,0.0000101680125,5.272946e-8,0.016404808,0.000015251695,0.0000014613486,0.000017936683,0.00031821968,0.000005044952,0.0021332973,0.00022423288,0.98086935],"study_design_scores_gemma":[0.000051742143,0.00008582705,2.7357675e-7,0.07614878,0.00014484958,0.000001968064,0.000016954553,0.07273026,0.00005820405,0.00034343195,0.8499395,0.0004782217],"about_ca_topic_score_codex":0.000007213527,"about_ca_topic_score_gemma":9.312428e-7,"teacher_disagreement_score":0.98039114,"about_ca_system_score_codex":0.000036811307,"about_ca_system_score_gemma":0.00026788053,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W4387615981","doi":"10.3390/app132011262","title":"A New Traffic System on Driver Sensitivity and Safe Distance Headway","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Sensitivity (control systems); Three-phase traffic theory; Traffic system; Traffic flow (computer networking); Discretization; Simulation; Traffic congestion reconstruction with Kerner's three-phase theory; Computer science; Traffic wave; MATLAB; Control theory (sociology); Engineering; Traffic congestion; Mathematics; Mathematical analysis; Transport engineering; Electronic engineering","score_opus":0.008863591473068809,"score_gpt":0.1928876259641222,"score_spread":0.1840240344910534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387615981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93347937,0.00011402805,0.0103906505,0.00038220137,0.0005104088,0.0003583058,0.0000054552224,0.0016565899,0.053102966],"genre_scores_gemma":[0.99945986,0.000011780538,0.00019010932,0.000026997228,0.000049357994,0.00000981606,6.7433473e-7,0.00000529658,0.0002460931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936604,0.000006398347,0.00007340138,0.00019035333,0.00016464942,0.00019915306],"domain_scores_gemma":[0.99977976,0.00006363643,0.000009592011,0.000084110136,0.0000025796814,0.000060318675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023389087,0.000082831684,0.00010024312,0.00006277988,0.00010954387,0.00005091156,0.00006547787,0.000017910394,0.0000040791683],"category_scores_gemma":[0.0000019292763,0.000068837675,0.000015086673,0.00032289868,0.00005338589,0.00003909779,0.000020251422,0.000041960244,0.000111791465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000852225,0.00000632224,0.000019146964,0.00008210392,0.00001667114,0.00002108282,0.0005043821,0.68648195,0.0024874932,0.117233194,0.009997273,0.18314187],"study_design_scores_gemma":[0.0012437175,0.000101561425,0.0360006,0.00013497252,0.00003463551,0.0000075032635,0.0027914336,0.89929485,0.0005725922,0.00028047097,0.058837205,0.0007004522],"about_ca_topic_score_codex":0.000006060431,"about_ca_topic_score_gemma":0.00009515651,"teacher_disagreement_score":0.21281293,"about_ca_system_score_codex":0.000021518283,"about_ca_system_score_gemma":0.000008366383,"threshold_uncertainty_score":0.2807119},"labels":[],"label_agreement":null},{"id":"W4387616172","doi":"10.3390/app132011255","title":"Assessment of Water Availability and Environmental Influence on People’s Lives in a Small Basin in the Hinterland of Pernambuco, Using the SUPer and UAV","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Universidade Federal de Pernambuco; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Geography; Climate change; Water scarcity; Resource (disambiguation); Scale (ratio); Population; Water cycle; Water resource management; Arid; Water resources; Environmental change; Environmental resource management; Environmental planning; Environmental science; Environmental protection; Agriculture; Ecology; Cartography","score_opus":0.015046232752401004,"score_gpt":0.22582753939701367,"score_spread":0.21078130664461267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387616172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998541,0.000033272507,0.0000021330272,0.00016193253,0.000010824572,0.00024053079,0.000005323979,0.0000027747476,0.0010022253],"genre_scores_gemma":[0.9996617,0.00012887995,0.000093389186,0.00008560993,0.0000021669046,0.000019973328,7.952787e-7,0.000002369557,0.000005106975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897194,0.00007238271,0.00019419182,0.00028526236,0.0002665751,0.00020967811],"domain_scores_gemma":[0.99963635,0.00016792981,0.000041475603,0.0001343866,4.8476215e-7,0.000019346615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010870711,0.000103781225,0.00013948098,0.00004820162,0.00017545825,0.00001943515,0.00023578848,0.00002112842,0.00006264592],"category_scores_gemma":[0.000006086171,0.00005096987,0.000021583352,0.00025074824,0.0018142962,0.000079617355,0.0003200635,0.00008972947,0.0000036311349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006180831,0.000058979134,0.96538544,0.000007989125,0.0000022746433,6.990994e-7,0.007841675,0.0020901107,0.024243241,0.00004307918,0.0000016371401,0.00031870537],"study_design_scores_gemma":[0.00014484017,0.00007732153,0.9831826,0.000010691427,0.0000043001446,0.0000019650815,0.0141246375,0.0008683187,0.0011227537,0.00038228993,0.000013691207,0.00006655558],"about_ca_topic_score_codex":0.0018163522,"about_ca_topic_score_gemma":0.0015786693,"teacher_disagreement_score":0.023120487,"about_ca_system_score_codex":0.00002681871,"about_ca_system_score_gemma":0.0000026560185,"threshold_uncertainty_score":0.668485},"labels":[],"label_agreement":null},{"id":"W4387702457","doi":"10.3390/app132011380","title":"Improved Cardiac Performance with Dexamethasone Therapy in Premature Neonates: Novel Insights Using Serial Echocardiographic Assessments","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; London Health Sciences Centre; Lawson Health Research Institute; University of Toronto; Western University","funders":"","keywords":"Medicine; Dexamethasone; Ejection fraction; Gestational age; Cardiology; Internal medicine; Heart failure; Pregnancy","score_opus":0.08189410279292152,"score_gpt":0.3790586894976867,"score_spread":0.29716458670476514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387702457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996102,0.0006556563,0.0000752575,0.000081070655,0.00017759092,0.0013412887,0.0000047190947,0.0001001692,0.0014622713],"genre_scores_gemma":[0.9955165,0.00067094865,0.0032204462,0.00023937649,0.00012972602,0.00015396939,0.000006898738,0.000025016645,0.000037132344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973001,0.000054283195,0.00026987225,0.00060555275,0.0010849524,0.00068523764],"domain_scores_gemma":[0.9991132,0.00017403388,0.00008840082,0.00032396827,0.00009288523,0.0002075249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014440566,0.00020782158,0.0004115595,0.0007138756,0.0003083773,0.00007227683,0.00029106694,0.00013344831,0.000008961743],"category_scores_gemma":[0.000034501918,0.00014130454,0.000055793458,0.0045210733,0.00044988413,0.0002441195,0.00011341776,0.0004503939,0.000012016557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024370858,0.0002093678,0.059193257,0.0005336106,0.00013246512,0.000046267032,0.0009990316,0.0015412795,0.79447484,0.00037820035,0.000026661486,0.14002794],"study_design_scores_gemma":[0.022159604,0.008592694,0.6573704,0.0013420966,0.000107779524,0.00006110785,0.005093688,0.104861885,0.18593065,0.00057242083,0.011979116,0.0019285581],"about_ca_topic_score_codex":0.000110403314,"about_ca_topic_score_gemma":0.00002554612,"teacher_disagreement_score":0.6085442,"about_ca_system_score_codex":0.000105099265,"about_ca_system_score_gemma":0.0009272877,"threshold_uncertainty_score":0.57622313},"labels":[],"label_agreement":null},{"id":"W4387723173","doi":"10.3390/app132011370","title":"Topology Optimisation of Structural Steel with Non-Penalisation SEMDOT: Optimisation, Physical Nonlinear Analysis, and Benchmarking","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nonlinear system; Benchmark (surveying); Topology optimization; Benchmarking; Computer science; Design for manufacturability; Mathematical optimization; Topology (electrical circuits); Finite element method; Structural engineering; Mathematics; Mechanical engineering; Engineering","score_opus":0.008235823966576357,"score_gpt":0.2362323299895809,"score_spread":0.22799650602300456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387723173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393195,0.000010554518,0.059028212,0.00005971825,0.0000993884,0.00013313326,0.000006404517,0.00017781642,0.0011653019],"genre_scores_gemma":[0.95840675,0.0000092997525,0.041394774,0.000009365379,0.00008722008,0.000018452605,0.00005084973,0.0000089433715,0.00001432801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991384,0.00001095014,0.00019755076,0.00023545978,0.00020894004,0.00020869993],"domain_scores_gemma":[0.99963325,0.00010124065,0.000064033826,0.000121953075,0.000036786227,0.000042744978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020957147,0.00013040076,0.00021420252,0.00040328712,0.00013505976,0.000031557764,0.00013009831,0.000054628785,0.00002668507],"category_scores_gemma":[0.000007651962,0.000115142095,0.0000262048,0.0016835338,0.00032382127,0.00016739994,0.000029210485,0.000079843994,0.0000017510527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030860526,0.0000024887265,0.0034494617,0.000019515106,0.00006779054,3.7918812e-7,0.00094794127,0.9877787,0.005254615,0.0016493839,0.000012842766,0.00081378367],"study_design_scores_gemma":[0.0001665444,0.0000337221,0.021411767,0.0000045765346,0.000066267574,0.0000023484488,0.00039964027,0.9698279,0.007737314,0.00019990558,0.000014559793,0.00013544015],"about_ca_topic_score_codex":0.000011664309,"about_ca_topic_score_gemma":0.00001159334,"teacher_disagreement_score":0.019087294,"about_ca_system_score_codex":0.00002159759,"about_ca_system_score_gemma":0.000019261128,"threshold_uncertainty_score":0.46953586},"labels":[],"label_agreement":null},{"id":"W4387774799","doi":"10.3390/app132011461","title":"Marginal Discrepancy and Internal Fit of Bi-Layered and Monolithic Zirconia Fixed Dental Prostheses: An In Vitro Study","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental materials and restorations","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Western University","funders":"King Saud University","keywords":"Cubic zirconia; Materials science; Abutment; Scanning electron microscope; Composite material; Dentistry; Ceramic; Medicine; Structural engineering","score_opus":0.03876933815111817,"score_gpt":0.31923283725825496,"score_spread":0.2804634991071368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387774799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989701,0.000037148966,0.000004422161,0.000021717171,0.00016331146,0.00031925555,0.000024134582,0.000027553817,0.00043233638],"genre_scores_gemma":[0.9996412,0.0000075806106,0.00016136555,0.000007991313,0.000024812884,0.00004356967,0.000004040852,0.000005228673,0.00010422554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990686,0.000041387633,0.00021730913,0.00028474975,0.00022524437,0.0001626624],"domain_scores_gemma":[0.99973327,0.000030565807,0.00007277629,0.000101587066,0.000009456033,0.00005232557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041590005,0.000087109445,0.00015569098,0.00013713293,0.00014122843,0.00017959649,0.00017191676,0.000030975734,0.0000188328],"category_scores_gemma":[0.000014401219,0.00006686324,0.000011488768,0.00031085263,0.00030392167,0.0001884885,0.00014815449,0.000053734464,0.000014825932],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120584424,0.00025976237,0.20602882,0.000032063766,0.0000123212785,0.000051658608,0.002410137,0.000008551116,0.78782105,0.0013183567,0.000019575835,0.0019171339],"study_design_scores_gemma":[0.0007938419,0.00023596622,0.9447167,0.000025417085,0.00000845569,0.000035032997,0.016056903,0.00070017215,0.03601548,0.0012480643,0.000018180559,0.0001457737],"about_ca_topic_score_codex":0.0004803781,"about_ca_topic_score_gemma":0.00086381496,"teacher_disagreement_score":0.75180554,"about_ca_system_score_codex":0.000009258537,"about_ca_system_score_gemma":0.000023178154,"threshold_uncertainty_score":0.27266037},"labels":[],"label_agreement":null},{"id":"W4387781143","doi":"10.3390/app132011445","title":"Flow Governed by Generalised Brinkman’s Equation through an Inclined Porous Channel","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mechanics; Porous medium; Permeability (electromagnetism); Flow (mathematics); Materials science; Viscosity; Porosity; Open-channel flow; Exponential function; Shear stress; Thermodynamics; Mathematics; Physics; Mathematical analysis; Chemistry; Composite material","score_opus":0.04129143633616277,"score_gpt":0.25092537198849113,"score_spread":0.20963393565232835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387781143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421263,0.00020591098,0.03637643,0.0004539681,0.0006721807,0.00035711288,0.00005298075,0.0013776917,0.018377446],"genre_scores_gemma":[0.99779636,0.00018225014,0.0012265518,0.00025685018,0.00018153917,0.000058267062,0.00008684705,0.00002338992,0.00018795433],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873346,0.000011453876,0.00019736712,0.00029757794,0.00037934136,0.00038080933],"domain_scores_gemma":[0.9997029,0.000035543275,0.000010487852,0.00016165516,0.000015618554,0.000073838855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033061998,0.00014791869,0.00014932423,0.00006607036,0.00022741004,0.000096000535,0.00028809556,0.00008542401,0.00006549192],"category_scores_gemma":[0.0000047131616,0.00013665523,0.0000295899,0.000711336,0.000091435046,0.00042218968,0.00002073231,0.00008285782,0.00024953415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020265985,0.000061429055,0.00011294699,0.00005536272,0.000032909313,0.0000069523403,0.0035303533,0.17643222,0.7656729,0.0177314,0.028797064,0.007546182],"study_design_scores_gemma":[0.00094693474,0.00012000346,0.0009653857,0.00001259824,0.00002025313,0.0000020607931,0.0003985295,0.8336391,0.14864866,0.0060449066,0.008579125,0.00062246376],"about_ca_topic_score_codex":0.00007886688,"about_ca_topic_score_gemma":0.00005067724,"teacher_disagreement_score":0.65720683,"about_ca_system_score_codex":0.000035417383,"about_ca_system_score_gemma":0.000024438421,"threshold_uncertainty_score":0.55726385},"labels":[],"label_agreement":null},{"id":"W4387836817","doi":"10.3390/app132011501","title":"Numerical Study of the Flow and Blockage Ratio of Cylindrical Pier Local Scour","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"Compute Canada","keywords":"Pier; Bed load; Turbulence; Mechanics; Geology; Flow (mathematics); Large eddy simulation; Channel (broadcasting); Geotechnical engineering; Finite volume method; Open-channel flow; Sediment transport; Engineering; Geomorphology; Physics; Sediment; Structural engineering","score_opus":0.012875423885120639,"score_gpt":0.23519573194219384,"score_spread":0.2223203080570732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387836817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995333,0.000008427771,0.0005807742,0.00019938435,0.000039480994,0.00016948656,8.980596e-7,0.000013767918,0.00365478],"genre_scores_gemma":[0.9997548,0.0000026073053,0.000111959365,0.000066154666,0.000006378301,0.00001130527,2.9692515e-7,0.0000021334056,0.00004437439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904716,0.000023644585,0.00016788622,0.00022805535,0.00038252285,0.00015072337],"domain_scores_gemma":[0.99972796,0.000072809155,0.000051682273,0.00011013506,0.0000030806177,0.00003431375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040992285,0.000064949556,0.00012036025,0.000023079689,0.0001940619,0.000005499547,0.00030212424,0.000033989665,0.00022142769],"category_scores_gemma":[0.00000990252,0.000039114628,0.000016864316,0.0007569531,0.001277543,0.00005573276,0.000090641384,0.00007052675,0.000027720685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006574567,0.0009140484,0.7950542,0.000029203216,0.000031211977,0.000007517975,0.0104909325,0.1498556,0.026213616,0.0012030613,0.00050174264,0.015633125],"study_design_scores_gemma":[0.0008968903,0.0006340932,0.9073493,0.000009609314,0.00004975416,0.0000039429447,0.0040633837,0.05605747,0.028185882,0.0021467549,0.00036893247,0.00023398874],"about_ca_topic_score_codex":0.000054173343,"about_ca_topic_score_gemma":0.000039842093,"teacher_disagreement_score":0.112295106,"about_ca_system_score_codex":0.000004588209,"about_ca_system_score_gemma":0.0000150892865,"threshold_uncertainty_score":0.47071603},"labels":[],"label_agreement":null},{"id":"W4387860035","doi":"10.3390/app132011553","title":"Ratcheting Simulation of Additively Manufactured Aluminum 4043 Samples through Finite Element Analysis","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Brick; Structural engineering; Quadratic equation; Tetrahedron; Materials science; Stress space; Mathematics; Geometry; Composite material; Engineering; Constitutive equation","score_opus":0.03823128757703037,"score_gpt":0.2710552994010211,"score_spread":0.2328240118239907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387860035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92239743,0.000037479727,0.0697282,0.00003984542,0.00017349936,0.00019945504,0.0002442401,0.0004014512,0.0067784158],"genre_scores_gemma":[0.998239,0.000031323634,0.0014780047,0.000023480668,0.000063610714,0.000025603787,0.000104161714,0.000010281996,0.000024534202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989652,0.000014531535,0.00025864993,0.00023316624,0.00027454164,0.00025391724],"domain_scores_gemma":[0.99930596,0.00044876753,0.00008886419,0.000103297425,0.00002656626,0.000026540172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033353223,0.00013769479,0.00023380118,0.00017561649,0.00016091626,0.000055060755,0.00018814085,0.000040698014,0.00044156326],"category_scores_gemma":[0.00003966484,0.00011728012,0.000057518177,0.0009883008,0.00013163313,0.00012479199,0.000047419988,0.000044786597,0.000039038325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038889857,0.0000042741062,0.00015636228,0.000047290243,0.00008351531,5.210791e-7,0.0006987629,0.99235696,0.0048736394,0.00021141359,0.00019961662,0.0013637719],"study_design_scores_gemma":[0.0001927777,0.000039211907,0.022695392,0.000025559952,0.00015199913,1.3613978e-7,0.0016608031,0.119748086,0.8442062,0.00419229,0.006710802,0.00037672208],"about_ca_topic_score_codex":0.000021876958,"about_ca_topic_score_gemma":0.000016693963,"teacher_disagreement_score":0.87260884,"about_ca_system_score_codex":0.000013450174,"about_ca_system_score_gemma":0.000013358808,"threshold_uncertainty_score":0.4834808},"labels":[],"label_agreement":null},{"id":"W4387903956","doi":"10.3390/app132111612","title":"Integrated Artificial Intelligence in Data Science","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Eesti Teadusagentuur","keywords":"Computer science; Everyday life; Artificial intelligence; Data science; Epistemology; Philosophy","score_opus":0.12167423046355076,"score_gpt":0.35167014930921464,"score_spread":0.2299959188456639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387903956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02705271,0.000011659163,0.9502663,0.0021633392,0.00018606888,0.00032316588,0.000005291978,0.001004715,0.01898677],"genre_scores_gemma":[0.94241136,0.00001837979,0.05731912,0.0001285669,0.000022377088,0.000055839268,0.0000033937965,0.0000029717044,0.00003796621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980045,0.000013408814,0.00025937887,0.00086149585,0.0004577687,0.00040343066],"domain_scores_gemma":[0.99880695,0.000086395565,0.00006215438,0.00093121413,0.00004130542,0.000071982395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022823229,0.000095057505,0.00009715901,0.0006163106,0.0005341953,0.00038364483,0.0050998055,0.000033446435,0.000012760172],"category_scores_gemma":[0.00006981983,0.00008119911,0.000012874827,0.012326341,0.00093937904,0.00097560685,0.0012571092,0.00012985498,0.00035532322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.733696e-7,0.000017443685,0.000033117256,9.390754e-7,3.605612e-7,0.000001256865,0.0001157634,0.000158317,0.010018942,0.8230651,0.00019213335,0.16639605],"study_design_scores_gemma":[0.000022369084,0.00003430183,0.0010713595,0.000009777767,0.0000010520972,0.0000050979306,0.00073201285,0.7247577,0.05517764,0.21345256,0.0044767824,0.00025935943],"about_ca_topic_score_codex":0.0000559628,"about_ca_topic_score_gemma":0.000058680336,"teacher_disagreement_score":0.91535866,"about_ca_system_score_codex":0.000036719066,"about_ca_system_score_gemma":0.00030415665,"threshold_uncertainty_score":0.9476793},"labels":[],"label_agreement":null},{"id":"W4387936515","doi":"10.3390/app132111672","title":"The Reaction–Diffusion Models in Biomedicine: Highly Accurate Calculations via a Hybrid Matrix Collocation Algorithm","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Algorithm; Mathematics; Exponential function; Applied mathematics; Spectral method; Nonlinear system; Collocation (remote sensing); Computer science; Mathematical analysis","score_opus":0.06897645432963484,"score_gpt":0.3555210006517389,"score_spread":0.2865445463221041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387936515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33805022,0.000077970726,0.6389769,0.011384615,0.0012529135,0.001716735,0.000051974468,0.00066435157,0.007824367],"genre_scores_gemma":[0.99210227,0.000058552254,0.0064643193,0.0000334552,0.00009256111,0.00029018003,0.00005229155,0.000012343287,0.0008940054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998292,0.00005852208,0.00041284156,0.00030246895,0.0006227101,0.0003114384],"domain_scores_gemma":[0.9983119,0.0011126791,0.0001741653,0.00024871735,0.00009431373,0.000058264566],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010262235,0.00012532051,0.0001340615,0.00042387992,0.0013142924,0.00009794666,0.00028909178,0.000050710205,0.000014593871],"category_scores_gemma":[0.00019949846,0.000091414906,0.000043602726,0.0026178549,0.00033478663,0.00029308104,0.00007479334,0.00014080486,0.00020692345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012228555,0.000168323,0.000023277029,0.000012850061,0.000020842032,0.0000022191696,0.000491434,0.009666129,0.025464164,0.9354412,0.006241034,0.022456326],"study_design_scores_gemma":[0.00020293107,0.000014279296,0.0016921747,0.000013276669,0.000014339452,0.000004090061,0.00045720022,0.5455141,0.00029601567,0.45101634,0.0006721456,0.00010313037],"about_ca_topic_score_codex":0.00025597657,"about_ca_topic_score_gemma":0.00025954682,"teacher_disagreement_score":0.6540521,"about_ca_system_score_codex":0.00014554407,"about_ca_system_score_gemma":0.0001579321,"threshold_uncertainty_score":0.9999859},"labels":[],"label_agreement":null},{"id":"W4387958609","doi":"10.3390/app132111693","title":"Comparing Usability of Augmented Reality and Virtual Reality for Creating Virtual Bounding Boxes of Real Objects","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Australian Research Council","keywords":"Headset; Human–computer interaction; Computer science; Virtual reality; Augmented reality; Usability; Interface (matter); Immersion (mathematics); Task (project management); User interface; Multimedia; Engineering","score_opus":0.09357313008340269,"score_gpt":0.345066693403712,"score_spread":0.2514935633203093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387958609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9133831,0.000010247989,0.07875966,0.00021123946,0.00007889782,0.0005165099,0.00003378042,0.0001419639,0.0068645976],"genre_scores_gemma":[0.9948288,0.000032777716,0.0049826414,0.000025753725,0.00003100565,0.00005918738,0.000011215907,0.000005981765,0.000022597318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975495,0.00008725425,0.00067171647,0.00067128066,0.0005714598,0.0004488055],"domain_scores_gemma":[0.9976039,0.0011675315,0.00041179414,0.0005506622,0.00011607959,0.00015006067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040414487,0.00017438085,0.00044790146,0.00019362367,0.0005926046,0.00014853448,0.0008612027,0.000073804535,0.0000017864719],"category_scores_gemma":[0.00042504488,0.00015591084,0.00007110076,0.0016020208,0.0009844899,0.00043674553,0.0004794531,0.00009266293,0.0000018246404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044695153,0.00012910514,0.007569085,0.00011040021,0.00002477987,2.690282e-7,0.0043505346,0.0015591485,0.062499896,0.90327895,0.00018130196,0.020251818],"study_design_scores_gemma":[0.0019082834,0.0016459045,0.41717353,0.00020440664,0.000057390695,0.000008301584,0.011550864,0.37244177,0.104639046,0.089197025,0.00029193392,0.00088154816],"about_ca_topic_score_codex":0.0011638456,"about_ca_topic_score_gemma":0.00020164864,"teacher_disagreement_score":0.81408197,"about_ca_system_score_codex":0.00005372031,"about_ca_system_score_gemma":0.00021095625,"threshold_uncertainty_score":0.63578594},"labels":[],"label_agreement":null},{"id":"W4387975014","doi":"10.3390/app132111747","title":"Impact of Peri-Implant Inflammation on Metabolic Syndrome Factors: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Metabolic syndrome; Peri-implantitis; Internal medicine; Triglyceride; Cholesterol; Implant; Surgery; Obesity","score_opus":0.10041518948504269,"score_gpt":0.418866489207863,"score_spread":0.3184512997228203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387975014","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006211942,0.9929241,0.000010883705,0.000022873925,0.00012099974,0.0050265184,0.00007251286,0.00009091021,0.0011100046],"genre_scores_gemma":[0.0014117729,0.99685097,0.000041860374,0.000032199914,0.000075011245,0.00099541,0.00022957372,0.00002861143,0.00033459085],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9970034,0.00009000375,0.0012932882,0.0004924763,0.0008290302,0.0002917964],"domain_scores_gemma":[0.99757415,0.00046610765,0.0009817003,0.0007568918,0.00006469425,0.00015648156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013406364,0.00040726454,0.003850765,0.00041606984,0.00012053312,0.000023892668,0.000498072,0.00015927407,0.000083345985],"category_scores_gemma":[0.0003951981,0.00021210221,0.00059588935,0.0019302212,0.00027404208,0.000050050112,0.000065605745,0.00027362822,0.00034939923],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020279092,0.000048530488,0.0000027507515,0.9891334,0.00040915175,0.00002227146,0.000049206446,5.8076995e-7,0.0000063544153,0.001529574,0.00044469547,0.008351458],"study_design_scores_gemma":[0.00019816059,0.0003841219,0.00008869689,0.9645247,0.00921114,0.0010308875,0.00006647345,0.0000032789696,0.000014551844,0.00005992131,0.024099763,0.00031834652],"about_ca_topic_score_codex":0.000014757443,"about_ca_topic_score_gemma":7.243602e-7,"teacher_disagreement_score":0.02460874,"about_ca_system_score_codex":0.00009763415,"about_ca_system_score_gemma":0.0005714622,"threshold_uncertainty_score":0.8649277},"labels":[],"label_agreement":null},{"id":"W4388017638","doi":"10.3390/app132111894","title":"Proof-of-Principle of Absolute Dosimetry Using an Absorbed Dose Portable Calorimeter with Laser-Driven Proton Beams","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Metrology Programme for Innovation and Research; National Physical Laboratory; European Commission; Queen's University; Central Laser Facility, Science and Technology Facilities Council; Engineering and Physical Sciences Research Council","keywords":"Dosimetry; Calorimeter (particle physics); Laser; Absorbed dose; Proton; Materials science; Optics; Radiation; Nuclear physics; Nuclear engineering; Detector; Physics; Nuclear medicine","score_opus":0.040046504689157984,"score_gpt":0.32248218100073894,"score_spread":0.28243567631158095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388017638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99138534,0.0000010476987,0.0030199995,0.000025331567,0.000034718705,0.0005951467,0.000042463067,0.00002958652,0.004866372],"genre_scores_gemma":[0.99515396,1.371423e-7,0.004388199,0.000013194132,0.000056499302,0.00019383043,0.000026076532,0.000010932075,0.00015718506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998998,0.000010394625,0.00024757083,0.000287167,0.00022817765,0.00022873071],"domain_scores_gemma":[0.9993784,0.000036688067,0.0002062234,0.00026820364,0.000049490114,0.000060993872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018215436,0.000110849345,0.00017268713,0.00011830679,0.00021140961,0.000045285156,0.00027307347,0.0000207666,0.00016603598],"category_scores_gemma":[9.407428e-7,0.00008265373,0.000040430015,0.0009092135,0.00021615841,0.00022845794,0.000065078115,0.000074192845,0.000021309152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015707461,0.0030400704,0.12525181,0.00029547783,0.00037639463,0.000003670196,0.0023083303,0.1279372,0.66443896,0.060033374,0.0008042599,0.015353361],"study_design_scores_gemma":[0.00041782673,0.00016094181,0.004933866,0.000047062033,0.00004403693,8.5722587e-7,0.00086627976,0.01364411,0.97558737,0.0019148453,0.0021265799,0.0002562507],"about_ca_topic_score_codex":0.00041037984,"about_ca_topic_score_gemma":0.000008627991,"teacher_disagreement_score":0.31114835,"about_ca_system_score_codex":0.000008943426,"about_ca_system_score_gemma":0.000101263126,"threshold_uncertainty_score":0.33705214},"labels":[],"label_agreement":null},{"id":"W4388074007","doi":"10.3390/app132111912","title":"Comparative Study of Ultrasound Tissue Motion Tracking Techniques for Effective Breast Ultrasound Elastography","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elastography; Breast cancer; Ultrasound; Ultrasound elastography; Displacement (psychology); Medicine; Computer science; Breast tissue; Biomedical engineering; Match moving; Artificial intelligence; Radiology; Cancer; Motion (physics)","score_opus":0.022459489999493685,"score_gpt":0.32337143971981547,"score_spread":0.30091194972032176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388074007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831938,0.000036509344,0.0097447615,0.000055180695,0.00012676184,0.0026499825,0.000034412642,0.00036560214,0.0037929695],"genre_scores_gemma":[0.9960114,0.000010078015,0.0032991,0.000038318205,0.000100714075,0.00046719387,0.000028654924,0.000017322258,0.000027271895],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99814904,0.000055072684,0.0003343526,0.0005539263,0.00050131796,0.00040629713],"domain_scores_gemma":[0.9979985,0.0013395124,0.00017151357,0.00022479208,0.00016855642,0.00009715249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009610145,0.00022979196,0.0004938565,0.00072216534,0.00045554934,0.00007084839,0.00020943549,0.000065409615,0.0000132661025],"category_scores_gemma":[0.00007580174,0.00018679509,0.000119767974,0.0027435455,0.000913921,0.00016620803,0.00002082573,0.00016182418,0.000012055669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025480115,0.0012321689,0.087325074,0.0001266354,0.00023960783,0.0000010873697,0.012839486,0.0001150205,0.87000024,0.0006443706,0.0010343655,0.026187114],"study_design_scores_gemma":[0.0027010622,0.0053538615,0.58018696,0.00019617037,0.00045664003,0.00020167003,0.06210547,0.000052888554,0.34309977,0.00313797,0.001862862,0.0006446658],"about_ca_topic_score_codex":0.00006939692,"about_ca_topic_score_gemma":0.000022810971,"teacher_disagreement_score":0.52690053,"about_ca_system_score_codex":0.000023778959,"about_ca_system_score_gemma":0.00003683447,"threshold_uncertainty_score":0.7617283},"labels":[],"label_agreement":null},{"id":"W4388288497","doi":"10.3390/app132112005","title":"Characterization of Cardiac Fat in Atrial Fibrillation Patients Prior to Ablation Treatment","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Siemens Healthineers; University of Calgary","keywords":"Medicine; Internal medicine; Cardiology; Atrial fibrillation; Epicardial adipose tissue; Cardiac function curve; Overweight; Body mass index; Obesity paradox; Diastole; Adipose tissue; Obesity; Heart failure; Blood pressure","score_opus":0.017296588116779074,"score_gpt":0.2636616963389849,"score_spread":0.2463651082222058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388288497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998638,0.000016138809,0.000019070349,0.00008666941,0.00010146242,0.0006028774,0.000008642366,0.000022977405,0.0005041693],"genre_scores_gemma":[0.9995778,0.00003976303,0.000048861857,0.000012443641,0.00014532704,0.00000800503,0.000128478,0.0000029932185,0.00003632524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934787,0.000015773889,0.00012728547,0.0001640846,0.00024849316,0.00009651886],"domain_scores_gemma":[0.99979556,0.000018642726,0.000035640813,0.000087253306,0.000018167662,0.000044750308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014138149,0.000050779912,0.00015134652,0.00015467935,0.000048637234,0.000009527717,0.000024443056,0.000025694502,0.0000053740537],"category_scores_gemma":[0.000013951186,0.00004152144,0.000097834556,0.00071060355,0.000024695079,0.000049721122,0.00001484264,0.000011980516,0.000031969972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002148918,0.00003305863,0.49783581,0.000026312162,0.00006791464,7.356052e-7,0.0009724208,0.0011192665,0.25853357,0.00025734326,0.000010287592,0.24092838],"study_design_scores_gemma":[0.0005120258,0.000109619716,0.9733094,0.000015207655,0.00005347442,6.263791e-8,0.00004222678,0.00023040206,0.025119096,0.00001943117,0.0005436304,0.000045428194],"about_ca_topic_score_codex":0.0000173915,"about_ca_topic_score_gemma":0.000002026478,"teacher_disagreement_score":0.47547358,"about_ca_system_score_codex":0.00003102886,"about_ca_system_score_gemma":0.000034105393,"threshold_uncertainty_score":0.16931953},"labels":[],"label_agreement":null},{"id":"W4388408463","doi":"10.3390/app132112088","title":"Marine Bioactives and Their Application in the Food Industry: A Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nutraceutical; Food industry; Antimicrobial; Biology; Functional food; Biotechnology; Chemistry; Food science; Microbiology","score_opus":0.13750572282158108,"score_gpt":0.323333419787605,"score_spread":0.18582769696602391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388408463","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008366859,0.99222136,6.206035e-7,0.0010341974,0.00003898413,0.0017706453,0.000042467156,0.00006662066,0.0039884495],"genre_scores_gemma":[0.0020761942,0.9964603,0.000019418181,0.00042492145,0.00015941517,0.0007631172,0.00007224403,0.0000021045728,0.000022248747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807125,0.00020831164,0.00037670255,0.0007168182,0.00028643542,0.00034047366],"domain_scores_gemma":[0.99840534,0.0010952897,0.0002959869,0.00012675922,0.000020382688,0.000056254983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408775,0.000344234,0.00078066695,0.00004947867,0.00031840082,0.00014703156,0.0011371756,0.00026991527,0.000025693176],"category_scores_gemma":[0.00005525434,0.000089887,0.00012690523,0.0028832867,0.0005348994,0.00008005004,0.0003316281,0.0005470462,0.000041579606],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.530774e-7,0.000023129462,0.000023809333,0.0008668703,0.000013630245,3.3668562e-7,0.000030372477,1.3580008e-8,0.000040957402,0.0012232125,0.00013886068,0.99763817],"study_design_scores_gemma":[0.000028435627,0.000118714386,0.0011190753,0.0025650307,0.000055672564,0.000015227783,0.0007594632,0.0000017210256,0.0000046337864,0.0018282388,0.9931955,0.00030828395],"about_ca_topic_score_codex":0.00011475023,"about_ca_topic_score_gemma":0.00054606155,"teacher_disagreement_score":0.9973299,"about_ca_system_score_codex":0.000032942386,"about_ca_system_score_gemma":0.000039304352,"threshold_uncertainty_score":0.36654857},"labels":[],"label_agreement":null},{"id":"W4388630202","doi":"10.3390/app132212281","title":"Scripts to Insert Cohesive Elements at the Interfaces between Matrix and Precipitates with Irregular Shapes in Representative Volume Elements in ABAQUS","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Material Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Microscale chemistry; Materials science; Solver; Insert (composites); MATLAB; Finite element method; Computational science; Matrix (chemical analysis); Interface (matter); Computer science; Composite material; Structural engineering; Engineering","score_opus":0.01847960321398706,"score_gpt":0.26938848761517226,"score_spread":0.2509088844011852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388630202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985573,0.00007051726,0.000047213485,0.00020083226,0.00008740458,0.00065162015,0.000016663655,0.00008247102,0.00028597185],"genre_scores_gemma":[0.998836,0.000015880869,0.000825597,0.00002153693,0.000017310706,0.0001469504,0.0000056691683,0.000014218687,0.0001168676],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872196,0.000032160668,0.0002686395,0.00033824987,0.00028689223,0.00035207983],"domain_scores_gemma":[0.9996784,0.000097837066,0.00004123411,0.00011914274,0.000012349819,0.000051034465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005266908,0.00015150792,0.00018343443,0.00022494984,0.00011045309,0.00012276386,0.00029424226,0.000027610493,0.000023597388],"category_scores_gemma":[0.000015443064,0.00011050196,0.000008144329,0.0009579913,0.000104270985,0.00013202324,0.0003134382,0.0000734276,0.00006816945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016519106,0.000043620577,0.3865171,0.00014177823,0.00011708967,0.00003685665,0.029858327,0.036876176,0.53350943,0.00089503825,0.002745444,0.00909396],"study_design_scores_gemma":[0.0019508904,0.000644449,0.5842583,0.00035653892,0.000040788884,0.000006510821,0.016324762,0.040895652,0.34831318,0.003912383,0.0021981231,0.001098397],"about_ca_topic_score_codex":0.00011044943,"about_ca_topic_score_gemma":0.0007381216,"teacher_disagreement_score":0.19774121,"about_ca_system_score_codex":0.00007963341,"about_ca_system_score_gemma":0.000011346774,"threshold_uncertainty_score":0.45061395},"labels":[],"label_agreement":null},{"id":"W4388634648","doi":"10.3390/app132212262","title":"English Speech Emotion Classification Based on Multi-Objective Differential Evolution","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Initialization; Computer science; Speech recognition; Mel-frequency cepstrum; Crossover; Differential evolution; Feature selection; Artificial intelligence; Set (abstract data type); Feature (linguistics); Mode (computer interface); Support vector machine; Emotion recognition; Pattern recognition (psychology); Feature extraction","score_opus":0.06575999504684185,"score_gpt":0.32713320100507826,"score_spread":0.26137320595823643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388634648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79702854,0.0000029532011,0.022782408,0.00030215742,0.0029609809,0.0005514459,0.0000150598835,0.0006337226,0.17572275],"genre_scores_gemma":[0.9983952,0.0000015065144,0.00033183012,0.00013494954,0.0002600483,0.00009412916,0.00007961873,0.000009740159,0.0006929669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99863786,0.00010076922,0.00017326469,0.00048189342,0.00033561233,0.0002706001],"domain_scores_gemma":[0.99948627,0.00011022971,0.00010019961,0.00016761558,0.000078414065,0.000057272322],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048592818,0.00011589324,0.00009857379,0.00037284015,0.00034950973,0.000053493786,0.00015332029,0.00011792928,0.0004892491],"category_scores_gemma":[0.000065367494,0.00010322279,0.000050421848,0.00095303415,0.00019856956,0.000077941186,0.00001585427,0.0001347104,0.001730524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056656986,0.0032202853,0.014363575,0.00006559986,0.00009468609,0.000013247476,0.017424172,0.0012924037,0.13107511,0.4279021,0.024270808,0.37971142],"study_design_scores_gemma":[0.002178084,0.00034859692,0.92033523,0.000034049768,0.000030259926,0.0000016878179,0.011864831,0.05493407,0.005684168,0.0035094738,0.0006791523,0.00040039807],"about_ca_topic_score_codex":0.000020241614,"about_ca_topic_score_gemma":0.000019585368,"teacher_disagreement_score":0.90597165,"about_ca_system_score_codex":0.00006755083,"about_ca_system_score_gemma":0.00003755636,"threshold_uncertainty_score":0.99904674},"labels":[],"label_agreement":null},{"id":"W4388637036","doi":"10.3390/app132212243","title":"Nucleation Mechanism and Rupture Dynamics of Laboratory Earthquakes at Different Loading Rates","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council","keywords":"Nucleation; Slip (aerodynamics); Strain rate; Shear (geology); Geology; Seismology; Materials science; Shear stress; Composite material; Thermodynamics; Physics","score_opus":0.015432536121815698,"score_gpt":0.2190357452055291,"score_spread":0.2036032090837134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388637036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936714,0.00031492292,0.000016117214,0.0002495683,0.00013536781,0.000109082874,0.000046595953,0.000070664006,0.0053862715],"genre_scores_gemma":[0.9993993,0.00023269617,0.00014562381,0.00006456845,0.000026471345,0.0000016835743,0.000023779368,0.0000022904196,0.000103553735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990379,0.000022827975,0.00015122915,0.00026242778,0.00028041148,0.0002452111],"domain_scores_gemma":[0.9995308,0.00022758357,0.000078949604,0.000087256456,0.000021188942,0.000054255495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080259,0.00011229081,0.00016627996,0.00011979041,0.0004606676,0.00004542248,0.00013922431,0.000047006866,0.0002574665],"category_scores_gemma":[0.000022260017,0.000080424645,0.000022389015,0.00057573395,0.00034001115,0.00009562092,0.00003639647,0.000059496586,0.000090166446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041540417,0.00002275611,0.8368262,0.00010608251,0.00006265704,0.000008893904,0.0030602084,0.0007704176,0.010840064,0.09625334,0.00062801654,0.051379796],"study_design_scores_gemma":[0.00022904422,0.00015982043,0.9514368,0.00002374632,0.000017262724,0.0000025112784,0.0032522648,0.0148733435,0.010565079,0.01897655,0.00022859567,0.00023496864],"about_ca_topic_score_codex":0.00008809985,"about_ca_topic_score_gemma":0.0023138686,"teacher_disagreement_score":0.11461058,"about_ca_system_score_codex":0.0000037915258,"about_ca_system_score_gemma":0.00001594855,"threshold_uncertainty_score":0.35431293},"labels":[],"label_agreement":null},{"id":"W4388639251","doi":"10.3390/app132212269","title":"Lateral Ultimate Capacity of Monopile Foundations for Offshore Wind Turbines: Effects of Monopile Geometry and Soil Stiffness Properties","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Qassim University","keywords":"Offshore wind power; Foundation (evidence); Geotechnical engineering; Turbine; Bending moment; Pile; Stiffness; Finite element method; Geology; Structural engineering; Engineering; Environmental science; Mechanical engineering","score_opus":0.02206675170438013,"score_gpt":0.21796535337205478,"score_spread":0.19589860166767464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388639251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765563,0.0000672283,0.0015118573,0.000014840153,0.00018147574,0.00026067378,0.000014184373,0.00018825456,0.000105869585],"genre_scores_gemma":[0.99921256,0.000026770207,0.00064352393,0.0000030753033,0.000018466522,0.000059250644,0.0000044965414,0.00001153102,0.000020299572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999298,0.0000042355878,0.00019028854,0.00015486119,0.00014289586,0.00020972981],"domain_scores_gemma":[0.99964994,0.00013101324,0.000032015138,0.000115248266,0.00003068433,0.000041099134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045267,0.000107927466,0.0002057161,0.00013909915,0.00008507771,0.000022814753,0.00015364241,0.000064016145,0.0000013012869],"category_scores_gemma":[0.0000621577,0.00008858809,0.0000309963,0.000487499,0.00014603895,0.00007462248,0.000037288628,0.00006489708,0.000002184943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011182504,0.000032267435,0.0000987642,0.0022159494,0.00003883853,3.8497762e-7,0.0010328537,0.6150717,0.37023264,0.005885404,0.00010473351,0.0052752495],"study_design_scores_gemma":[0.0003649329,0.0000876388,0.003700551,0.00011062443,0.000022686845,8.650086e-7,0.00020412648,0.7278848,0.264983,0.0023588936,0.000074585616,0.00020729547],"about_ca_topic_score_codex":0.000021491258,"about_ca_topic_score_gemma":0.000004476478,"teacher_disagreement_score":0.11281306,"about_ca_system_score_codex":0.000009213705,"about_ca_system_score_gemma":0.000014007705,"threshold_uncertainty_score":0.36125174},"labels":[],"label_agreement":null},{"id":"W4388672347","doi":"10.3390/app132212303","title":"Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Schwartz/Reisman Emergency Medicine Institute; North York General Hospital; Toronto Metropolitan University; University of Toronto; University of New Brunswick; Canada Research Chairs","funders":"","keywords":"Cardiopulmonary resuscitation; Medicine; Hemodynamics; Oxygenation; Cardiology; Blood volume; Internal medicine; Blood flow; Resuscitation; Anesthesia","score_opus":0.01957622459927974,"score_gpt":0.28660501286781953,"score_spread":0.2670287882685398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388672347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595857,0.0007410986,0.000047326103,0.0006218581,0.0000885131,0.00019729324,0.0000014613645,0.0002124364,0.0021314183],"genre_scores_gemma":[0.99143404,0.00034657257,0.008023714,0.00007614287,0.000055207667,0.000023043762,0.0000033051963,0.000008325789,0.0000296372],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990593,0.000018573657,0.00011647069,0.00033409343,0.00022504023,0.00024652568],"domain_scores_gemma":[0.9996984,0.00005974405,0.000023701852,0.00011466576,0.000014977553,0.0000885303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050078274,0.00009551389,0.00022313652,0.0001516541,0.00024502666,0.00009183127,0.00005079795,0.00003545984,8.707388e-7],"category_scores_gemma":[0.000040612595,0.00007799375,0.00004388844,0.00043469176,0.000450006,0.00010100783,0.000045242825,0.00010295912,0.0000038412463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005003463,0.000023730823,0.1187315,0.00016432584,0.00010471587,0.000040223014,0.0014932564,0.000020485315,0.8593841,0.0077826125,0.00017565144,0.012029322],"study_design_scores_gemma":[0.00046460057,0.00008708393,0.6724567,0.00009226637,0.00017363206,0.000026214453,0.0017359246,0.000886026,0.3205181,0.0025637865,0.00070896675,0.00028671796],"about_ca_topic_score_codex":0.000039274666,"about_ca_topic_score_gemma":5.4060035e-7,"teacher_disagreement_score":0.5537252,"about_ca_system_score_codex":0.000009134202,"about_ca_system_score_gemma":0.000018988712,"threshold_uncertainty_score":0.31804928},"labels":[],"label_agreement":null},{"id":"W4388672468","doi":"10.3390/app132212318","title":"Information Communication Technology (ICT) and Education","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Blended learning; Information and Communications Technology; Information technology; Computer science; Educational technology; Pedagogy; Sociology; World Wide Web","score_opus":0.01068467493415896,"score_gpt":0.27367073479096155,"score_spread":0.26298605985680257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388672468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7761847,0.00026373728,0.04018222,0.08410968,0.00028815385,0.00030564098,0.0000010175338,0.0019941397,0.09667073],"genre_scores_gemma":[0.9823373,0.00005223031,0.017233016,0.00024377512,0.00000893829,0.000010120937,0.0000036630368,8.6590427e-7,0.0001101084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996028,0.0000086883765,0.00008751695,0.000082821345,0.00011873908,0.00009945211],"domain_scores_gemma":[0.99967164,0.00003741498,0.000051894294,0.00019124894,0.00002763713,0.000020162288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036186326,0.000036571233,0.000040401355,0.00028705818,0.0002838656,0.0001643441,0.00048228353,0.00002929538,9.0898584e-7],"category_scores_gemma":[0.000031749456,0.00003187922,0.0000054733814,0.0015172543,0.0001457165,0.00044350064,0.00017669558,0.00006277873,0.00013089181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.3341415e-7,0.000005466023,0.0007127463,0.0000030524568,7.567959e-7,2.9654947e-8,0.0004979336,0.00013535355,0.00014906132,0.79109275,0.0009058764,0.20649685],"study_design_scores_gemma":[0.00017014425,0.00006752134,0.008973815,0.000027650238,0.000004525775,0.0000139721105,0.0049918857,0.2221923,0.0007906452,0.7167429,0.045773298,0.000251341],"about_ca_topic_score_codex":0.000004609348,"about_ca_topic_score_gemma":0.0000010601068,"teacher_disagreement_score":0.22205694,"about_ca_system_score_codex":0.0000062786567,"about_ca_system_score_gemma":0.00008262476,"threshold_uncertainty_score":0.21832934},"labels":[],"label_agreement":null},{"id":"W4388699524","doi":"10.3390/app132212338","title":"Event Knowledge Graph: A Review Based on Scientometric Analysis","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Beijing Association for Science and Technology; Ministry of Natural Resources of the People's Republic of China; China Scholarship Council; Strong","keywords":"Data science; Computer science; Citation; Field (mathematics); Event (particle physics); Knowledge graph; Graph; Network analysis; Power graph analysis; Information retrieval; World Wide Web; Engineering","score_opus":0.12785732350427878,"score_gpt":0.4173282751491699,"score_spread":0.2894709516448911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388699524","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.349726e-8,0.9333819,0.059396654,0.00008588192,0.0005639374,0.0013044341,0.000010004188,0.0004799735,0.004777088],"genre_scores_gemma":[0.000025241934,0.9934928,0.0050671035,0.00054898375,0.00007831551,0.00053219794,0.000021531223,0.000030630534,0.00020318873],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.993403,0.0003028082,0.0011087311,0.0024290732,0.0017173509,0.0010390256],"domain_scores_gemma":[0.99502313,0.0018148603,0.0008728885,0.0018624319,0.00009916068,0.00032750066],"candidate_categories":["metaepi_narrow","bibliometrics","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037217473,0.0007503721,0.0025716752,0.010044123,0.00068041676,0.00039674487,0.0064600767,0.00019436007,0.000023456307],"category_scores_gemma":[0.00019248985,0.0005263025,0.0015875963,0.16948825,0.0005427749,0.00025078075,0.00076838594,0.00057789264,0.00081932585],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.1308932e-7,0.000067977046,0.0000011017713,0.0058428007,0.00012318879,0.000008961293,0.000008091338,0.0011971153,3.716797e-8,0.015394576,0.0019287337,0.9754271],"study_design_scores_gemma":[0.00010511221,0.00013959687,0.000008100581,0.021139542,0.0018162912,0.0000046020964,0.0000024847589,0.017752806,6.6871945e-7,0.0020217123,0.95584077,0.0011683273],"about_ca_topic_score_codex":0.0000027340893,"about_ca_topic_score_gemma":0.000009642504,"teacher_disagreement_score":0.9742588,"about_ca_system_score_codex":0.00014029726,"about_ca_system_score_gemma":0.00058138446,"threshold_uncertainty_score":0.99995863},"labels":[],"label_agreement":null},{"id":"W4388722993","doi":"10.3390/app132212410","title":"A Feature Selection Algorithm Based on Differential Evolution for English Speech Emotion Recognition","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Computer science; Speech recognition; Artificial intelligence; Classifier (UML); Mel-frequency cepstrum; Feature selection; Discrete cosine transform; Pattern recognition (psychology); Population; Prosody; Differential evolution; Feature extraction","score_opus":0.026500129653614788,"score_gpt":0.2986559911649881,"score_spread":0.2721558615113733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388722993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2139704,0.000012086717,0.7544775,0.002056357,0.0042196256,0.001736938,0.000055615637,0.0022418841,0.021229608],"genre_scores_gemma":[0.9608448,0.0000048712723,0.036203895,0.00010532527,0.0020000124,0.00010459601,0.000078997684,0.000012702446,0.0006447804],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983747,0.00007340525,0.00010959343,0.0004397295,0.0005626301,0.00043993787],"domain_scores_gemma":[0.99933434,0.00027515393,0.000095165975,0.000070513546,0.00014976591,0.00007507531],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009724853,0.00011742729,0.000114521914,0.00023136128,0.0019081542,0.0001502251,0.00019115923,0.00011934893,0.000022304637],"category_scores_gemma":[0.00021760973,0.000111337074,0.00006452143,0.0015920976,0.00023838223,0.00014777805,0.000016181173,0.00013252436,0.000047121466],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046682886,0.00011317768,0.00014398209,0.000015689946,0.000008429272,0.0000010813164,0.0025376603,0.0046117976,0.0015433013,0.012078747,0.006620685,0.9722788],"study_design_scores_gemma":[0.0016540163,0.0006716085,0.0033733104,0.0001120649,0.00004421485,0.0000012273655,0.010997723,0.87483937,0.0056043207,0.083542965,0.018324776,0.0008344105],"about_ca_topic_score_codex":0.000042631615,"about_ca_topic_score_gemma":0.000067862726,"teacher_disagreement_score":0.97144437,"about_ca_system_score_codex":0.00013913648,"about_ca_system_score_gemma":0.00014247146,"threshold_uncertainty_score":0.9993912},"labels":[],"label_agreement":null},{"id":"W4388794914","doi":"10.3390/app132212476","title":"Electrospinning of High-Performance Nanofibres: State of the Art and Insights into the Path Forward","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrospinning; Aramid; Materials science; Nanofiber; Polymer; Polyamide; Membrane; Composite material; Fiber; Chemistry","score_opus":0.007071868814744426,"score_gpt":0.23012987234252105,"score_spread":0.22305800352777663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388794914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972161,0.00010801697,0.0004699736,0.0008534068,0.00009586866,0.0002773891,0.0000026283508,0.00004307476,0.00093353604],"genre_scores_gemma":[0.9967743,0.0001556208,0.0027149818,0.00014212832,0.000015633801,0.0000702586,0.00000116759,0.0000058071673,0.00012010326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985006,0.000032680222,0.00029820393,0.0002895369,0.00058431807,0.00029465658],"domain_scores_gemma":[0.9991637,0.0002245572,0.00021333744,0.00031645305,0.000043442855,0.000038533068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009079634,0.00010105381,0.00016536874,0.00007007657,0.00055796583,0.000037364378,0.0008360852,0.000031968317,0.000009645191],"category_scores_gemma":[0.000020925318,0.000050364422,0.00002362587,0.0018150269,0.002195285,0.00009751874,0.00025484714,0.00007167647,0.000032252752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056632516,0.000009839943,0.00025724043,0.000021621207,0.0000029090836,5.1161837e-8,0.0015327637,0.000053876312,0.97640294,0.018320117,0.00043766393,0.0029552882],"study_design_scores_gemma":[0.00009254473,0.00008844938,0.0071799913,0.000024735675,0.0000064927362,7.852314e-7,0.00013882994,0.00042720904,0.95438695,0.036649127,0.0009307232,0.00007416001],"about_ca_topic_score_codex":0.00003276388,"about_ca_topic_score_gemma":0.000017394896,"teacher_disagreement_score":0.022016013,"about_ca_system_score_codex":0.000015360923,"about_ca_system_score_gemma":0.00011819859,"threshold_uncertainty_score":0.80886185},"labels":[],"label_agreement":null},{"id":"W4388831826","doi":"10.3390/app132212488","title":"Biomechanical Insights for Developing Evidence-Based Training Programs: Unveiling the Kinematic Secrets of the Overhead Forehand Smash in Badminton through Novice-Skilled Player Comparison","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Kinematics; Computer science; Throwing; Simulation; Physical medicine and rehabilitation; Engineering; Mechanical engineering; Medicine; Physics","score_opus":0.12282618055471652,"score_gpt":0.3100828878811093,"score_spread":0.18725670732639282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388831826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684026,0.00012224259,0.029422475,0.0003665377,0.00036789506,0.0010787776,0.0000024968006,0.00011909987,0.00011783538],"genre_scores_gemma":[0.99309754,0.00002016276,0.006555558,0.0000842046,0.00003237085,0.00018344673,0.0000066507887,0.000017245671,0.0000028120605],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836266,0.000017514376,0.0004966902,0.00028971912,0.00042632446,0.0004071038],"domain_scores_gemma":[0.99906313,0.000525267,0.0001313465,0.00021558227,0.000035437744,0.000029207682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010063276,0.00018154908,0.00030300976,0.00014548031,0.00025556362,0.00008458578,0.0005772222,0.00009744302,0.0000028594118],"category_scores_gemma":[0.00007053373,0.00010338201,0.0000835158,0.0021346428,0.00017030885,0.00011802239,0.00007929685,0.00013386691,0.0000017154268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002090679,0.0002557253,0.004147002,0.0026006773,0.0001930944,0.000009612941,0.04797636,0.24978292,0.34787005,0.28294978,0.00018036492,0.06382535],"study_design_scores_gemma":[0.00038086405,0.000057416422,0.000541776,0.0006392979,0.000016488963,9.200771e-7,0.0038453587,0.9643181,0.02104548,0.008768596,0.00017630652,0.00020938888],"about_ca_topic_score_codex":0.000022654765,"about_ca_topic_score_gemma":0.0004069283,"teacher_disagreement_score":0.7145352,"about_ca_system_score_codex":0.00006320256,"about_ca_system_score_gemma":0.00015423218,"threshold_uncertainty_score":0.42157957},"labels":[],"label_agreement":null},{"id":"W4388859628","doi":"10.3390/app132312563","title":"Exploring BIM Implementation Challenges in Complex Renovation Projects: A Case Study of UBC’s BRDF Expansion","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Building information modeling; Process management; Workflow; Procurement; Knowledge management; Key (lock); Engineering management; Project management; CLARITY; Engineering; Business; Computer science; Systems engineering; Operations management","score_opus":0.3557410557898048,"score_gpt":0.3422381483836603,"score_spread":0.013502907406144515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388859628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981345,0.00002289028,0.0001096514,0.00003098112,0.00013484147,0.00033419204,0.0000010919241,0.00014969682,0.0010821839],"genre_scores_gemma":[0.9994421,0.000079351434,0.00021253106,0.0000025012207,0.000023567944,0.00022865625,0.0000048771612,0.0000053609456,0.0000010451332],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9992606,0.000014762527,0.00024099364,0.00016434464,0.00019396067,0.00012533955],"domain_scores_gemma":[0.99981445,0.000028623852,0.00004058617,0.0000798613,0.000023071092,0.000013421819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035722024,0.00006991535,0.00008921865,0.00039274458,0.00009052865,0.000020283056,0.00006661706,0.000017624003,0.000011991658],"category_scores_gemma":[0.000003612352,0.000064697095,0.000009134469,0.0011532183,0.00003661566,0.00025146984,0.000016056121,0.000047841404,0.000005360774],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014043954,0.00012281687,0.006523901,0.00015039802,0.000023463099,0.00005232701,0.06737343,0.017386813,0.08988923,0.031800948,0.000114209826,0.78654844],"study_design_scores_gemma":[0.00082418113,0.00022166719,0.03269138,0.000024800136,0.000008119875,0.000052190015,0.9339234,0.01850343,0.012391366,0.0010431422,0.00010430394,0.00021198756],"about_ca_topic_score_codex":0.0002506623,"about_ca_topic_score_gemma":0.0025315383,"teacher_disagreement_score":0.86655,"about_ca_system_score_codex":0.000026640553,"about_ca_system_score_gemma":0.000014708194,"threshold_uncertainty_score":0.26382712},"labels":[],"label_agreement":null},{"id":"W4388898364","doi":"10.3390/app132312600","title":"Mineral Characterization Using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Nanotechnology; Scanning electron microscope; Artificial intelligence; Computer science; Materials science","score_opus":0.12636609813688998,"score_gpt":0.43055680762959747,"score_spread":0.3041907094927075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388898364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017747836,0.99675024,0.000028069526,0.000011961843,0.00022020022,0.00052811054,0.000015550853,0.000058070782,0.0006130208],"genre_scores_gemma":[0.00018900409,0.99912983,0.00025170433,0.00001315209,0.00008334864,0.00007906714,0.000021952754,0.000027914619,0.0002040525],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985517,0.00006388481,0.00039392503,0.00029049857,0.0003615258,0.0003384473],"domain_scores_gemma":[0.9995554,0.00007957877,0.00014983753,0.00014939228,0.000029924155,0.000035859386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010794183,0.00018529681,0.0005073484,0.0002304511,0.00050751615,0.00009341193,0.00029800503,0.00006523762,0.000006099305],"category_scores_gemma":[0.00003531095,0.00012746135,0.00006595156,0.0021129423,0.00024341412,0.00010183332,0.00011134507,0.0002896544,0.0000044377102],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013346659,0.000023076043,0.000020057034,0.23384944,0.00009518406,6.694883e-7,0.00026212315,0.00016166028,0.041763447,0.00041683807,0.0005674726,0.7228387],"study_design_scores_gemma":[0.0000616305,0.000024288147,0.000012253411,0.16923049,0.00017555905,0.000013986489,0.00006428411,0.00060370757,0.0005633884,0.00004882836,0.82883734,0.0003642513],"about_ca_topic_score_codex":0.000012664221,"about_ca_topic_score_gemma":0.000003323271,"teacher_disagreement_score":0.82826984,"about_ca_system_score_codex":0.00010535305,"about_ca_system_score_gemma":0.00011964895,"threshold_uncertainty_score":0.5197723},"labels":[],"label_agreement":null},{"id":"W4388912435","doi":"10.3390/app132312571","title":"Environment-Aware Knowledge Distillation for Improved Resource-Constrained Edge Speech Recognition","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Speech recognition; Word error rate; Estimator; Benchmark (surveying); Inference; Artificial intelligence; Noise reduction; Machine learning","score_opus":0.039738359534765,"score_gpt":0.2665861711993528,"score_spread":0.22684781166458778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388912435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19645946,0.00013341635,0.7579233,0.0025955457,0.0006391898,0.0014051768,0.000044475222,0.001378464,0.039420992],"genre_scores_gemma":[0.9092757,0.000012636118,0.08956614,0.0001902423,0.00024499476,0.00012927817,0.00004958035,0.000012762668,0.0005186741],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985749,0.000017655488,0.00020658306,0.00058883685,0.00019353494,0.00041845863],"domain_scores_gemma":[0.9993619,0.00021270824,0.00010660996,0.00020681546,0.000026756747,0.00008525497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081644807,0.00013624688,0.0001304372,0.00017934295,0.00062692614,0.00027845698,0.00060777675,0.00006241825,0.000015817028],"category_scores_gemma":[0.000047468482,0.0001211392,0.000049735325,0.000900773,0.0002460376,0.0003661476,0.00015190094,0.00006775018,0.00027034324],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006055083,0.000022680184,0.00005222647,0.00001945865,0.000004478009,7.509018e-7,0.00039379444,0.00003212837,0.050140187,0.0006679406,0.0014721982,0.9471881],"study_design_scores_gemma":[0.0014876768,0.00028503066,0.0015785686,0.00007178773,0.000023424509,0.000017979144,0.001074956,0.13992956,0.7191237,0.09743183,0.037968952,0.001006499],"about_ca_topic_score_codex":0.0000014565833,"about_ca_topic_score_gemma":0.000002693185,"teacher_disagreement_score":0.9461816,"about_ca_system_score_codex":0.000033028373,"about_ca_system_score_gemma":0.0000883702,"threshold_uncertainty_score":0.49399135},"labels":[],"label_agreement":null},{"id":"W4388945038","doi":"10.3390/app132312601","title":"Capability Enhancing of CO2 Laser Cutting for PMMA Sheet Using Statistical Modeling and Optimization","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Generalitat de Catalunya; Agència de Gestió d'Ajuts Universitaris i de Recerca; University of Northampton","keywords":"Laser cutting; Design of experiments; Response surface methodology; Laser power scaling; Laser; Position (finance); Power (physics); Materials science; Cardinal point; Mechanical engineering; Plane (geometry); Process (computing); Quality (philosophy); Computer science; Optics; Engineering; Mathematics; Statistics; Machine learning","score_opus":0.026476588312756365,"score_gpt":0.2603956062315305,"score_spread":0.23391901791877415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388945038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35113934,0.000009351203,0.64843124,0.0000047792973,0.00003719047,0.000095589334,0.000005597484,0.000069164125,0.00020774401],"genre_scores_gemma":[0.8354549,0.000009858042,0.16448793,0.000004246698,0.000016716805,0.000010438237,0.0000070556966,0.0000071756626,0.0000017099477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999393,0.0000042277397,0.00017322652,0.00015921472,0.000113936825,0.00015642242],"domain_scores_gemma":[0.999763,0.000108614055,0.000026672651,0.000048746384,0.000025105755,0.000027858803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041662116,0.000065906854,0.00010115314,0.00006961886,0.00015153078,0.000039436465,0.000058584326,0.000031260388,0.000008131136],"category_scores_gemma":[0.000046440528,0.000062448526,0.0000090005,0.00021122284,0.00006261549,0.00009890384,0.000020943373,0.000030253426,3.6882707e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020225555,0.0000018391551,0.000034946548,0.0001387606,0.000002111252,4.247247e-8,0.00021722859,0.9971773,0.0010947873,0.00063394546,0.000003140252,0.00069388666],"study_design_scores_gemma":[0.0000772262,0.0000074105665,0.000017465125,0.000015068197,0.000006568271,2.275641e-7,0.0002469433,0.98540944,0.013225445,0.00092173077,0.0000019984773,0.000070474016],"about_ca_topic_score_codex":0.0000111107165,"about_ca_topic_score_gemma":0.0000038769085,"teacher_disagreement_score":0.48431554,"about_ca_system_score_codex":0.000012514097,"about_ca_system_score_gemma":0.000016566733,"threshold_uncertainty_score":0.25465772},"labels":[],"label_agreement":null},{"id":"W4389049918","doi":"10.3390/app132312679","title":"An Overview of Transcranial Magnetic Stimulation and Its Application in Multiple Sclerosis","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Transcranial magnetic stimulation; Neuroscience; Multiple sclerosis; Motor cortex; Context (archaeology); Physical medicine and rehabilitation; Corticospinal tract; Silent period; Psychology; Medicine; Evoked potential; Motor system; Stimulation; Magnetic resonance imaging; Biology; Psychiatry","score_opus":0.20177345507080147,"score_gpt":0.334125418980143,"score_spread":0.1323519639093415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389049918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980262,0.00023700505,0.00029558336,0.00015566498,0.00004531872,0.0005920609,0.000012974054,0.000096152085,0.00053904636],"genre_scores_gemma":[0.9992595,0.00029403772,0.00026108278,0.00007486783,0.000016924585,0.00007878353,0.0000014651226,0.000007685506,0.000005659311],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985927,0.000055372897,0.00028739066,0.00046685722,0.00038025653,0.0002174551],"domain_scores_gemma":[0.9993006,0.0004450455,0.00006477006,0.00012193065,0.000020100195,0.000047559242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037542733,0.00011131989,0.00017905142,0.00024295208,0.00019437216,0.000028669761,0.00021910013,0.000042583237,0.000022193506],"category_scores_gemma":[0.00008123977,0.00010496022,0.000020300798,0.0018056976,0.0003152672,0.0001794048,0.00002368569,0.000051826137,0.000027980514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028884977,0.000046393525,0.0042130305,0.000026779617,3.538512e-7,2.5598683e-7,0.0007575973,0.006424079,0.96242857,0.011310492,0.0000014479504,0.014762136],"study_design_scores_gemma":[0.0014158954,0.0002672615,0.78358597,0.000026002477,0.000010664449,7.337424e-7,0.0002395141,0.17013168,0.040506214,0.0035773497,0.000044369423,0.00019433664],"about_ca_topic_score_codex":0.000045533485,"about_ca_topic_score_gemma":0.00006626908,"teacher_disagreement_score":0.9219223,"about_ca_system_score_codex":0.000007735558,"about_ca_system_score_gemma":0.000019621833,"threshold_uncertainty_score":0.42801535},"labels":[],"label_agreement":null},{"id":"W4389079858","doi":"10.3390/app132312777","title":"Influence of Dipole Orientation of Zwitterionic Materials on Hemodialysis Membrane Interactions with Human Serum Proteins","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Membrane; Zwitterion; Chemistry; Phosphorylcholine; Dialysis; Hemodialysis; Dipole; Biocompatibility; Materials science; Organic chemistry; Medicine; Surgery; Molecule; Biochemistry","score_opus":0.023439378901999302,"score_gpt":0.3032423253018163,"score_spread":0.27980294639981695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389079858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975358,0.000003891096,0.000030316613,0.00018100553,0.00015293734,0.00029630322,0.00004521994,0.00008685242,0.0016676348],"genre_scores_gemma":[0.9992985,0.0000039467914,0.00030938134,0.000042125204,0.000021197291,0.000120935634,0.0000040905134,0.0000085108795,0.00019130096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983498,0.000056390545,0.00042919352,0.00036645407,0.0005493201,0.0002488405],"domain_scores_gemma":[0.99903035,0.00015401251,0.00042755812,0.00025256144,0.00009800738,0.00003748292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005699584,0.00014053834,0.00029739825,0.0002797074,0.00033825263,0.000060788625,0.00032084214,0.000025320162,0.0003084333],"category_scores_gemma":[0.000039628252,0.00010485633,0.000030821077,0.0010682277,0.000668168,0.00034768463,0.00010013335,0.00005083184,0.00023100185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050557253,0.00004255177,0.000693095,0.000031810323,0.000014151117,5.848602e-7,0.0008786905,0.00531397,0.99159306,0.001297439,0.00002670689,0.00005735943],"study_design_scores_gemma":[0.00018443137,0.00015494156,0.016269675,0.00007091898,0.000018405824,0.0000011440721,0.0011140459,0.0000144481855,0.9818368,0.00018388392,0.00004043568,0.000110856214],"about_ca_topic_score_codex":0.0003359245,"about_ca_topic_score_gemma":0.00008356918,"teacher_disagreement_score":0.015576579,"about_ca_system_score_codex":0.000028846642,"about_ca_system_score_gemma":0.000060151495,"threshold_uncertainty_score":0.4275917},"labels":[],"label_agreement":null},{"id":"W4389098472","doi":"10.3390/app132312759","title":"Processes and Challenges for the Manufacturing of Lyocell Fibres with Alternative Agricultural Feedstocks","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Chemicals (Canada); University of Alberta","funders":"Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Lyocell; Raw material; Cellulosic ethanol; Economic shortage; Pulp and paper industry; Pulp (tooth); Waste management; Engineering; Cellulose; Chemistry","score_opus":0.06444898914383942,"score_gpt":0.2951749568165937,"score_spread":0.2307259676727543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389098472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242353,0.002486627,0.0003714495,0.0013913278,0.000045771143,0.000597863,0.000013025251,0.00006494067,0.0026054739],"genre_scores_gemma":[0.996834,0.0016134636,0.0011873309,0.000008566204,0.000049082504,0.00018945656,5.8129365e-7,0.000004371587,0.00011317654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989296,0.0000107146825,0.000102602986,0.00029275974,0.00036498997,0.00029930257],"domain_scores_gemma":[0.9986982,0.0010331576,0.000086974476,0.00008530958,0.00006473632,0.00003164976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044857338,0.00010139694,0.00013558901,0.00004656911,0.0004999228,0.00005514407,0.00033128666,0.000014205944,0.0000054889765],"category_scores_gemma":[0.000063094434,0.000044904824,0.000011948348,0.00023232761,0.0009828376,0.00014497683,0.00015999783,0.000036058453,0.0000059518634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019661197,0.000058728197,0.00015494118,0.001764553,0.00008060502,0.000003992985,0.015154756,0.007641004,0.93167,0.018210795,0.000322186,0.024741843],"study_design_scores_gemma":[0.00018282242,0.0001633141,0.002672818,0.00003553184,0.00000822508,0.000002109816,0.014488657,0.000076286335,0.97788024,0.0038837881,0.0005001088,0.00010612657],"about_ca_topic_score_codex":0.00001466037,"about_ca_topic_score_gemma":0.0000408897,"teacher_disagreement_score":0.04621023,"about_ca_system_score_codex":0.000007960102,"about_ca_system_score_gemma":0.000036774734,"threshold_uncertainty_score":0.38450524},"labels":[],"label_agreement":null},{"id":"W4389306409","doi":"10.3390/app132312965","title":"Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Augmented Reality, and Modern Data Visualization in Performance Analysis","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Virtual reality; Data science; Visualization; Augmented reality; Intelligence analysis; Big data; Human–computer interaction; Artificial intelligence; Data mining","score_opus":0.08266697396798309,"score_gpt":0.3886578314941948,"score_spread":0.3059908575262117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389306409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689245,0.000116820695,0.0015871334,0.0007004777,0.000052397652,0.00024227327,0.000009129454,0.000045790417,0.00035350322],"genre_scores_gemma":[0.99763066,0.0018392821,0.00023538995,0.00003671699,0.000063173415,0.000010924376,0.00017745113,0.0000041041176,0.0000023088405],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983462,0.000011191034,0.00046662238,0.0004984454,0.0004438487,0.0002336679],"domain_scores_gemma":[0.99947035,0.000032748707,0.00016026518,0.00025602584,0.00003512927,0.00004550372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020211032,0.000113608716,0.00031338184,0.0006693453,0.000096603144,0.000030229181,0.00018372429,0.000090221896,0.0000073327315],"category_scores_gemma":[0.000032585627,0.000091610855,0.000016514108,0.003483725,0.000669872,0.0003695735,0.00024258433,0.00018495975,0.0000013417509],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038919805,0.00037829604,0.31952226,0.000119815144,0.00006252052,0.00003511955,0.0018737644,0.0029878432,0.0005567241,0.031624645,0.00001767339,0.64243215],"study_design_scores_gemma":[0.00029860684,0.00017141184,0.4782728,0.00006768505,0.0001934709,0.000020122085,0.009240731,0.5096221,0.0003831857,0.0013161106,0.0002499749,0.0001638245],"about_ca_topic_score_codex":0.00008823921,"about_ca_topic_score_gemma":0.00016395573,"teacher_disagreement_score":0.6422683,"about_ca_system_score_codex":0.000016944896,"about_ca_system_score_gemma":0.00007439728,"threshold_uncertainty_score":0.37357822},"labels":[],"label_agreement":null},{"id":"W4389306616","doi":"10.3390/app132312971","title":"Skin Imaging: A Digital Twin for Geometric Deviations on Manufactured Surfaces","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Production line; Computer vision; Segmentation; Process (computing); Artificial intelligence; Engineering drawing; Engineering; Mechanical engineering","score_opus":0.01969188415393798,"score_gpt":0.24136996653343748,"score_spread":0.22167808237949949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389306616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97437936,0.00006538683,0.005630731,0.00018611806,0.00044030996,0.0003284108,0.0002015933,0.0007835562,0.017984508],"genre_scores_gemma":[0.99933124,0.0000129203345,0.00026045888,0.000048418508,0.00008698349,0.000080073,0.00004162519,0.000015135484,0.00012317189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991976,0.000002596176,0.00012313866,0.00021340029,0.00017831709,0.00028496567],"domain_scores_gemma":[0.9995571,0.00028095342,0.000026234147,0.00008095012,0.000013692792,0.00004107146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017716987,0.00012395509,0.000115328075,0.00026842504,0.00022149908,0.00029791205,0.00020998609,0.000024479323,0.0000542055],"category_scores_gemma":[0.000043043154,0.00010049239,0.000029746301,0.0006776574,0.00008285372,0.0001508981,0.000026705158,0.00003738629,0.00020953368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006244646,0.00011921675,0.0012877792,0.00074477046,0.00013709573,0.000010541927,0.0020891307,0.6205601,0.022366155,0.019024558,0.11846851,0.21512969],"study_design_scores_gemma":[0.00064587593,0.000115013645,0.031700652,0.000041197567,0.000022220547,0.0000031037937,0.0010120731,0.013148392,0.7729269,0.03130338,0.14809877,0.0009823763],"about_ca_topic_score_codex":0.000002164412,"about_ca_topic_score_gemma":0.0000017433766,"teacher_disagreement_score":0.7505608,"about_ca_system_score_codex":0.000015450374,"about_ca_system_score_gemma":0.000013836863,"threshold_uncertainty_score":0.40979606},"labels":[],"label_agreement":null},{"id":"W4389486906","doi":"10.3390/app132413093","title":"A Dataset of Pulsed Thermography for Automated Defect Depth Estimation","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"European Regional Development Fund","keywords":"Thermography; Artificial intelligence; Computer science; Dimension (graph theory); Domain (mathematical analysis); CAD; Pattern recognition (psychology); Computer vision; Infrared; Engineering drawing; Mathematics; Engineering; Optics","score_opus":0.02186137128062448,"score_gpt":0.2792656585509211,"score_spread":0.25740428727029663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389486906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7948956,0.00015943479,0.1825071,0.000027880344,0.0002820404,0.0015913052,0.007167479,0.008169398,0.005199787],"genre_scores_gemma":[0.9934058,0.000008263176,0.006100164,0.0000145121985,0.000007900312,0.00013515695,0.00031838322,0.000009036855,7.6609456e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943185,0.000005902038,0.0001417321,0.00012925267,0.00011945938,0.00017177944],"domain_scores_gemma":[0.99967235,0.00013690664,0.000031599844,0.0001257647,0.000009220728,0.000024158151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039330058,0.00007996896,0.00010183283,0.00023036209,0.00008320627,0.000019950157,0.00020413061,0.000039592775,0.0000070721794],"category_scores_gemma":[0.000009489041,0.00006744859,0.00005201092,0.0011191103,0.00013508063,0.000056849218,0.000012485777,0.00003062803,0.0000022355528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003806476,0.00004795437,0.00042819185,0.00042650793,0.000135318,0.0000013515429,0.00093351287,0.2511147,0.622872,0.0065873233,0.05474364,0.062671445],"study_design_scores_gemma":[0.00020464393,0.000076057324,0.003404472,0.000023010836,0.00003261748,9.33698e-7,0.00012997474,0.8679364,0.118530385,0.008616938,0.0008427388,0.0002018802],"about_ca_topic_score_codex":0.0000073383844,"about_ca_topic_score_gemma":0.000005325664,"teacher_disagreement_score":0.61682165,"about_ca_system_score_codex":0.000003199273,"about_ca_system_score_gemma":0.000008740464,"threshold_uncertainty_score":0.27504736},"labels":[],"label_agreement":null},{"id":"W4389571266","doi":"10.3390/app132413114","title":"Resource-Aware Federated Hybrid Profiling for Edge Node Selection in Federated Patient Similarity Network","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Computer science; Edge computing; Cloud computing; Quality of service; Distributed computing; Enhanced Data Rates for GSM Evolution; Profiling (computer programming); Edge device; Node (physics); Computer network; Data mining; Artificial intelligence; Operating system","score_opus":0.03271451044599577,"score_gpt":0.2618716434740733,"score_spread":0.22915713302807755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389571266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80002826,0.000038854952,0.18899862,0.00098108,0.0032049718,0.0011688764,0.0000011127778,0.0010854615,0.004492734],"genre_scores_gemma":[0.98707163,0.0000016180662,0.011617849,0.00048464045,0.0006576283,0.000098972676,0.0000163792,0.000012206748,0.000039072936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975376,0.00007021565,0.0003750296,0.0007794086,0.00037617568,0.0008615387],"domain_scores_gemma":[0.99926805,0.0002957242,0.00013303982,0.00012711482,0.00008969604,0.00008637959],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014764719,0.00019416315,0.00022219378,0.00021887,0.0018007089,0.0007343736,0.00057437475,0.0000712464,9.984312e-7],"category_scores_gemma":[0.00006102816,0.00018029458,0.000048628564,0.0031730754,0.00009363283,0.0002584909,0.00030095718,0.00020324808,0.000028472065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023760123,0.0004875578,0.031391412,0.0002753689,0.00007823584,0.00007006007,0.007267552,0.41747448,0.019168291,0.016511874,0.25805488,0.24898267],"study_design_scores_gemma":[0.00029535353,0.00010216491,0.0010963294,0.00003457754,0.0000024064307,0.0000045907054,0.00016050298,0.97681445,0.01442938,0.0029194013,0.0038424495,0.0002984036],"about_ca_topic_score_codex":0.000028700142,"about_ca_topic_score_gemma":0.000018800372,"teacher_disagreement_score":0.55933994,"about_ca_system_score_codex":0.00008140324,"about_ca_system_score_gemma":0.0002004665,"threshold_uncertainty_score":0.9994988},"labels":[],"label_agreement":null},{"id":"W4389613384","doi":"10.3390/app132413201","title":"Impact of Storage Conditions of Yogurt Dry Ingredients on the Physicochemical Properties of the Final Product","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Food science; Chemistry; Starter; Fermentation; Rheology; Materials science","score_opus":0.06391225011180615,"score_gpt":0.25851340083700713,"score_spread":0.19460115072520098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389613384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980107,0.0000128403535,8.091291e-8,0.00046092027,0.00004636095,0.00019490544,0.000045877412,0.000009178381,0.0012191274],"genre_scores_gemma":[0.99989414,0.000004035888,0.0000031610382,0.000019244895,0.00003178723,0.000009675838,0.0000034727204,3.3123004e-7,0.00003413846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927914,0.0000221869,0.0001428038,0.0001430324,0.00027420238,0.00013864065],"domain_scores_gemma":[0.9996821,0.00006928307,0.00012465921,0.00006898153,0.00003814938,0.000016784374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782034,0.00006437119,0.00010489031,0.000011077699,0.00018626102,0.0000106192865,0.00044358082,0.000020193589,0.000024692155],"category_scores_gemma":[0.000041735944,0.000015018899,0.00008395575,0.00079424476,0.00081186823,0.00002726434,0.00010218981,0.000063153115,0.0000034030245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010396086,0.000084842344,0.0026409368,0.000004861656,0.000008799951,2.5330896e-8,0.00016089957,0.00006927458,0.9939904,0.0022335388,0.00025696572,0.00053902244],"study_design_scores_gemma":[0.000054660144,0.00027995877,0.31673762,0.00005005618,0.000007603301,2.0372477e-7,0.00057227956,0.00014609973,0.68066955,0.0013958345,0.000025477619,0.000060626986],"about_ca_topic_score_codex":0.00004736538,"about_ca_topic_score_gemma":0.000005872535,"teacher_disagreement_score":0.3140967,"about_ca_system_score_codex":0.0000069507932,"about_ca_system_score_gemma":0.000023490795,"threshold_uncertainty_score":0.29913622},"labels":[],"label_agreement":null},{"id":"W4389891322","doi":"10.3390/app132413346","title":"Exploring and Visualizing Research Progress and Emerging Trends of Event Prediction: A Survey","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Beijing Association for Science and Technology; China Scholarship Council; Ministry of Natural Resources of the People's Republic of China","keywords":"Data science; Field (mathematics); Citation; Event (particle physics); Computer science; World Wide Web","score_opus":0.3725692043739006,"score_gpt":0.4182089870302184,"score_spread":0.045639782656317796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389891322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774665,0.00004550115,0.000029624165,0.00009654474,0.00007885759,0.000059181006,0.0000026880466,0.000049047656,0.0018919368],"genre_scores_gemma":[0.9994891,0.00004674843,0.0003128829,0.0000020246919,0.00003807929,0.00003697915,0.0000013656215,0.000004570561,0.00006821069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985585,0.00008745867,0.00016818503,0.00032112692,0.0005670119,0.00029767025],"domain_scores_gemma":[0.9995601,0.00023417154,0.000046484234,0.00008213622,0.000007647142,0.00006944252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053444603,0.000062111314,0.000092841794,0.0001515873,0.00057522755,0.000048806112,0.00012963192,0.000019857178,0.000014741811],"category_scores_gemma":[0.00006156985,0.000055625245,0.000009515176,0.0016953417,0.0010235052,0.0002023496,0.0003325511,0.00008862744,0.0000076190345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010017588,0.000019380534,0.6635442,0.000024725638,0.000004539623,0.000001204717,0.006141154,0.00041309933,0.0033214432,0.00073460594,0.00011118856,0.32567447],"study_design_scores_gemma":[0.00009679972,0.000094152056,0.9871089,0.000035891408,0.000002222328,0.000001768251,0.004162134,0.0059443447,0.0018083536,0.0003968512,0.00026087946,0.00008774022],"about_ca_topic_score_codex":0.0002786045,"about_ca_topic_score_gemma":0.000027864986,"teacher_disagreement_score":0.32558674,"about_ca_system_score_codex":0.000019820136,"about_ca_system_score_gemma":0.0000061678693,"threshold_uncertainty_score":0.44242433},"labels":[],"label_agreement":null},{"id":"W4389949721","doi":"10.3390/app14010012","title":"Predicting River Discharge in the Niger River Basin: A Deep Learning Approach","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hydropower; Environmental science; Hydroelectricity; Hydrology (agriculture); Drainage basin; Discharge; Dry season; Streamflow; Percentile; Structural basin; Water resource management; Geography; Geology; Ecology; Cartography","score_opus":0.01589230736108352,"score_gpt":0.23754759448717544,"score_spread":0.22165528712609192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389949721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83391607,0.000009135625,0.0007911469,0.00039063103,0.00006901689,0.00034787695,3.9212085e-7,0.00008680084,0.16438895],"genre_scores_gemma":[0.9971282,0.000024139776,0.0017525724,0.00029916706,0.00003543556,0.000102483034,0.0000043466575,0.000006072341,0.0006476235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998283,0.000071550305,0.00014456626,0.00041688318,0.00065753335,0.00042644778],"domain_scores_gemma":[0.9996657,0.000089357774,0.00005689892,0.00015022613,0.0000014882676,0.000036362708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718989,0.000114621376,0.00009685796,0.00007704789,0.0005850987,0.000098354496,0.0006265026,0.00002942864,0.00018177426],"category_scores_gemma":[0.00001569704,0.00007194732,0.000032447522,0.0013670586,0.00063156936,0.00024348665,0.00036543724,0.00017194133,0.00067953666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071474014,0.00013492169,0.88121694,0.000012922482,0.000009994857,0.000008755661,0.026349079,0.059740648,0.00074763194,0.009293217,0.0040132306,0.018465506],"study_design_scores_gemma":[0.0003763964,0.000058791124,0.84444535,0.0000072248154,0.000015198788,0.0000015677928,0.015800238,0.12251074,0.00008106975,0.0031059461,0.013296901,0.00030055485],"about_ca_topic_score_codex":0.00034342989,"about_ca_topic_score_gemma":0.00010075191,"teacher_disagreement_score":0.16374134,"about_ca_system_score_codex":0.00003575972,"about_ca_system_score_gemma":0.000005475673,"threshold_uncertainty_score":0.87342954},"labels":[],"label_agreement":null},{"id":"W4390112387","doi":"10.3390/app14010108","title":"Concrete with Organic Waste Materials as Aggregate Replacement","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Husk; Waste management; Compressive strength; Slump; Environmental science; Portland cement; Aggregate (composite); Corncob; Cement; Flexural strength; Straw; Biodegradable waste; Properties of concrete; Materials science; Composite material; Raw material; Engineering","score_opus":0.017407736678263872,"score_gpt":0.24791441198100406,"score_spread":0.2305066753027402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390112387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727639,0.00002500176,0.000025229583,0.00009365727,0.00019214119,0.00025194042,0.000006330982,0.0003921655,0.026249656],"genre_scores_gemma":[0.9990225,0.00011667685,0.00007726015,0.0000790655,0.000080594335,0.00008040321,0.00001201095,0.000019431305,0.00051206624],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998684,0.000016074344,0.00016881389,0.00025667076,0.00043393116,0.00044051316],"domain_scores_gemma":[0.999651,0.000040457366,0.000026444965,0.0001934371,0.00001627426,0.000072393545],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064873253,0.00012884852,0.00015565968,0.000113567614,0.00017089643,0.00021080556,0.0002867969,0.00003201154,0.0012334917],"category_scores_gemma":[0.0000073953765,0.00009677274,0.000011432044,0.0006614055,0.00015073772,0.00009240592,0.00009237977,0.00004471482,0.0015739725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024701516,3.9193142e-7,0.000009901601,0.000030281368,0.00001543639,0.0000067952305,0.00015918835,0.00013055185,0.99701124,0.0011324246,0.001262497,0.00021660667],"study_design_scores_gemma":[0.00026753143,0.00011754286,0.000022769636,0.000021451287,0.0000056643253,0.0000031952156,0.000758716,0.00037748765,0.99569386,0.00016231327,0.002405772,0.00016367335],"about_ca_topic_score_codex":0.000012688026,"about_ca_topic_score_gemma":0.0000033467657,"teacher_disagreement_score":0.026258616,"about_ca_system_score_codex":0.00002364549,"about_ca_system_score_gemma":0.00004458357,"threshold_uncertainty_score":0.9996795},"labels":[],"label_agreement":null},{"id":"W4390272395","doi":"10.3390/app14010235","title":"A Novel Line-Scan Algorithm for Unsynchronised Dynamic Measurements","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Subpixel rendering; Image stitching; Artificial intelligence; Computer vision; Computer science; Pixel; Vignetting; Sample (material); Frame rate; Optics; Algorithm; Physics; Lens (geology)","score_opus":0.11208083442521997,"score_gpt":0.32915677309997565,"score_spread":0.21707593867475566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390272395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012073693,0.000019447281,0.9792864,0.00081105565,0.00033305085,0.0005613021,0.0000045665415,0.00086705154,0.01690981],"genre_scores_gemma":[0.6967127,0.000006348376,0.30258343,0.00024315245,0.000044655797,0.000244671,0.0000035088017,0.000008118493,0.00015345585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978953,0.000011481703,0.00024871022,0.0005992277,0.000696932,0.0005483603],"domain_scores_gemma":[0.9993028,0.00009442449,0.00007757986,0.00031753103,0.00010548919,0.000102180486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013940737,0.0001681697,0.00017475287,0.00022599477,0.00038070162,0.00031458033,0.0016065045,0.00005791152,0.000012852228],"category_scores_gemma":[0.00004276134,0.00013726934,0.00006808004,0.0012663183,0.0002282533,0.00033465686,0.00021003779,0.00008171519,0.00008957153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047205026,0.00012955035,0.0000373626,0.000019687695,0.000023957133,7.303652e-7,0.00027063358,0.00006865716,0.3324993,0.091712296,0.00173454,0.57349855],"study_design_scores_gemma":[0.0008171551,0.0006894258,0.0005265551,0.000037246882,0.000013242607,0.0000025324878,0.00013980374,0.7876359,0.16998832,0.037844677,0.0017204613,0.00058466743],"about_ca_topic_score_codex":0.0000091145175,"about_ca_topic_score_gemma":0.000013153745,"teacher_disagreement_score":0.78756726,"about_ca_system_score_codex":0.00006873573,"about_ca_system_score_gemma":0.00014590115,"threshold_uncertainty_score":0.55976814},"labels":[],"label_agreement":null},{"id":"W4390412439","doi":"10.3390/app14010318","title":"Machine Learning Approach to Predict the Illite Weight Percent of Unconventional Reservoirs from Well-Log Data: An Example from Montney Formation, NE British Columbia, Canada","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Yayasan UTP; Universiti Teknologi Petronas","keywords":"Illite; Shale gas; Artificial neural network; Oil shale; Well logging; Geology; Petroleum engineering; Hydraulic fracturing; Backpropagation; Artificial intelligence; Mineralogy; Computer science; Clay minerals","score_opus":0.03185745390747956,"score_gpt":0.21460845989480043,"score_spread":0.18275100598732086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390412439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856608,0.00021983907,0.006722993,0.00025243332,0.00020535945,0.0002891018,0.00047153162,0.00017605867,0.0060018976],"genre_scores_gemma":[0.99585414,0.00012045931,0.0007503565,0.00007815899,0.00010227639,0.000042987675,0.0027421755,0.000012456165,0.0002970051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819404,0.00005950116,0.00035198437,0.00038549118,0.0007515346,0.0002574291],"domain_scores_gemma":[0.99923086,0.00010145068,0.00006335368,0.00042660418,0.00004093606,0.0001368028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067272224,0.00009834567,0.00019472087,0.00006375341,0.00045767444,0.00028282843,0.00094173354,0.00004137136,0.00020042207],"category_scores_gemma":[0.000022632694,0.00009935166,0.000031490872,0.0010628414,0.00011857208,0.00037393952,0.00018474585,0.0001514022,0.000013744608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004668519,0.0000289592,0.006902458,0.000016116277,0.00008233206,0.0000021060125,0.001858149,0.9672513,0.00086134986,0.00009904637,0.021669464,0.0012240509],"study_design_scores_gemma":[0.00019333085,0.000010714036,0.010544017,0.000012248528,0.000023935028,5.493667e-7,0.0038750095,0.9656998,0.00008091348,0.00036636638,0.019047247,0.00014585302],"about_ca_topic_score_codex":0.89716977,"about_ca_topic_score_gemma":0.9548473,"teacher_disagreement_score":0.05767752,"about_ca_system_score_codex":0.000051120263,"about_ca_system_score_gemma":0.000113394824,"threshold_uncertainty_score":0.4051443},"labels":[],"label_agreement":null},{"id":"W4390671833","doi":"10.3390/app14020525","title":"Addressing Ergonomic Challenges in Agriculture through AI-Enabled Posture Classification","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Artificial intelligence; Computer science; Machine learning; Support vector machine; Field (mathematics); Robustness (evolution); Mathematics","score_opus":0.11170120864687699,"score_gpt":0.2852431195514138,"score_spread":0.1735419109045368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390671833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83960134,0.015066609,0.000016523169,0.022797458,0.0005237029,0.00060946314,0.000024792833,0.00042340168,0.12093674],"genre_scores_gemma":[0.9976309,0.0010193376,0.00014648554,0.0004904825,0.0004548956,0.00005129763,0.00003826392,0.0000010461056,0.00016729222],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983549,0.000044555843,0.00024875844,0.00067883666,0.00028048365,0.00039246923],"domain_scores_gemma":[0.9996458,0.00015764436,0.000056603585,0.00005523894,0.000026579592,0.000058093498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041161242,0.00020206241,0.00019085532,0.00002203272,0.00035748442,0.00028703685,0.0004226272,0.00018667497,0.0000855881],"category_scores_gemma":[0.000005646023,0.00006307986,0.000071538336,0.001023114,0.00015950139,0.00042877567,0.000066322,0.0002789732,0.00011858309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019417794,0.00008902883,0.00053448044,0.00003185487,0.000013391612,0.000009538789,0.0014669348,0.000054532844,0.6898803,0.16722584,0.0035842296,0.13709044],"study_design_scores_gemma":[0.00031169358,0.00031215095,0.585637,0.00031807774,0.000046109984,0.000054825305,0.023567779,0.0005755481,0.007699565,0.030286983,0.34985805,0.0013322773],"about_ca_topic_score_codex":0.000071450224,"about_ca_topic_score_gemma":0.0008470126,"teacher_disagreement_score":0.6821807,"about_ca_system_score_codex":0.00004996784,"about_ca_system_score_gemma":0.000022951892,"threshold_uncertainty_score":0.2767903},"labels":[],"label_agreement":null},{"id":"W4390912973","doi":"10.3390/app14020759","title":"Water Flow Boiling in Micro/Mini Channels Using Volume of Fluid Model","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volume of fluid method; Mechanics; Computational fluid dynamics; Heat transfer; Heat exchanger; Materials science; Boiling; Micro heat exchanger; Adiabatic process; Thermodynamics; Mechanical engineering; Flow (mathematics); Heat transfer coefficient; Engineering; Physics","score_opus":0.03167166275286262,"score_gpt":0.24973069575826054,"score_spread":0.21805903300539792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390912973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790523,0.0007237262,0.016715916,0.000037903887,0.00030048698,0.000078497535,0.000004682963,0.00011545071,0.0029710373],"genre_scores_gemma":[0.9958542,0.000042420732,0.003994806,0.000012792716,0.000046252164,0.000007880537,8.2331036e-7,0.000010913999,0.000029913626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918,0.0000036621275,0.0001946592,0.00019141856,0.00014226811,0.00028794954],"domain_scores_gemma":[0.9998787,0.000020869009,0.0000019648712,0.00006590696,0.000009114342,0.000023460098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025677678,0.0001028184,0.0001534792,0.00014759948,0.0000667964,0.000050859257,0.00013508907,0.000038963266,0.000007913251],"category_scores_gemma":[0.0000019866095,0.00007507456,0.000032917334,0.00027444863,0.00012652391,0.00010114616,0.000022714084,0.000081295024,0.000015014968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.708149e-7,0.0000035042247,0.000035971098,0.0000863469,0.000005929357,0.0000012469118,0.0020233437,0.5373208,0.459638,0.00014159505,0.000028778166,0.0007137277],"study_design_scores_gemma":[0.00003794539,0.000005628519,0.0000070094766,0.000050958235,0.0000051127663,9.5395e-7,0.00021808232,0.74301416,0.25595498,0.00056163396,0.000057096036,0.00008641028],"about_ca_topic_score_codex":0.00001705485,"about_ca_topic_score_gemma":0.000011358956,"teacher_disagreement_score":0.2056934,"about_ca_system_score_codex":0.00002168675,"about_ca_system_score_gemma":0.00002306729,"threshold_uncertainty_score":0.3061452},"labels":[],"label_agreement":null},{"id":"W4391029812","doi":"10.3390/app14020849","title":"The Dynamic Failure Behaviour of High-Pressure Zones during Medium-Scale Ice Indentation Tests","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Spall; Materials science; Indentation; Amplitude; Mechanics; Geotechnical engineering; Composite material; Geology; Optics","score_opus":0.005510291159499037,"score_gpt":0.21840253815766303,"score_spread":0.212892246998164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391029812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961223,0.0003651373,0.0003018476,0.0009992606,0.0005024068,0.00014418342,0.000040307714,0.000056658348,0.0014679068],"genre_scores_gemma":[0.9982998,0.00008289402,0.0011932839,0.00003252054,0.00006479415,0.0000030856168,0.000020415131,0.0000031353488,0.000300123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868405,0.000026548902,0.0002149352,0.000291737,0.0005030146,0.00027973155],"domain_scores_gemma":[0.999382,0.00032598784,0.00007351698,0.0001363087,0.000025003932,0.00005717573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048368506,0.00011432375,0.000114472605,0.00007224959,0.0006608026,0.00017278378,0.00044754596,0.00005633423,0.00021054254],"category_scores_gemma":[0.000016631515,0.00007000675,0.000037929305,0.00049453846,0.0006366011,0.00025033762,0.000029223818,0.00015816055,0.000065722554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010231663,0.000073496536,0.8647567,0.00049468223,0.0001551179,0.000039151397,0.009203136,0.022656653,0.007635748,0.01840938,0.0005850915,0.07588849],"study_design_scores_gemma":[0.00013151705,0.00006876073,0.97003305,0.000052816573,0.00006706509,0.000029232584,0.006460793,0.015467439,0.00062723865,0.00650548,0.0003549692,0.00020163058],"about_ca_topic_score_codex":0.0008104353,"about_ca_topic_score_gemma":0.0046267086,"teacher_disagreement_score":0.105276324,"about_ca_system_score_codex":0.000004194818,"about_ca_system_score_gemma":0.00009430489,"threshold_uncertainty_score":0.5082426},"labels":[],"label_agreement":null},{"id":"W4391098672","doi":"10.3390/app14020892","title":"Multidimensional 3D-Printed Scaffolds for Ridge Preservation and Dental Implant Placement: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; European Commission","keywords":"Dentistry; Medicine; Randomized controlled trial; Dental implant; Clinical trial; Data extraction; Cone beam computed tomography; Systematic review; Medical physics; MEDLINE; Implant; Computed tomography; Surgery; Pathology","score_opus":0.07287756316770716,"score_gpt":0.38942524667900585,"score_spread":0.3165476835112987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391098672","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047748512,0.99172276,0.00011481562,0.000012266752,0.0007125166,0.0062652943,0.00047333562,0.00018353855,0.00046771715],"genre_scores_gemma":[0.00005663881,0.9946795,0.0013970645,0.00019050337,0.000060215734,0.0020927673,0.00038023657,0.000035810044,0.0011072571],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99719316,0.0000688634,0.001028895,0.00075525383,0.0005877922,0.00036603495],"domain_scores_gemma":[0.9986585,0.00042144462,0.00048210085,0.0003084723,0.000033046825,0.00009646963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012841428,0.00046369262,0.001825803,0.0002134022,0.00025031302,0.00024838815,0.0005298815,0.00017936814,0.000029070694],"category_scores_gemma":[0.00005951549,0.00029092678,0.00033039623,0.0004319444,0.00015285879,0.00015845109,0.00041497423,0.00013239967,0.00031579498],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034839122,0.000025048505,0.0000015385666,0.97358245,0.00013951915,0.000046109868,0.000013475313,5.9543684e-8,0.000006458764,0.007166587,0.01116928,0.007845967],"study_design_scores_gemma":[0.00023713842,0.00009090995,0.000002138704,0.70055884,0.005489711,0.0042297295,0.00007164565,0.00017566449,0.000018146704,0.00017000939,0.2882009,0.0007551268],"about_ca_topic_score_codex":0.000016397178,"about_ca_topic_score_gemma":0.000020122978,"teacher_disagreement_score":0.27703163,"about_ca_system_score_codex":0.00009355486,"about_ca_system_score_gemma":0.000103329236,"threshold_uncertainty_score":0.9999543},"labels":[],"label_agreement":null},{"id":"W4391098728","doi":"10.3390/app14020890","title":"Investigating the Impact of Local Manipulations on Spontaneous and Evoked Brain Complexity Indices: A Large-Scale Computational Model","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"European Research Council; Horizon 2020 Framework Programme; Università degli Studi di Milano; Ministero degli Affari Esteri e della Cooperazione Internazionale; European Commission; Tiny Blue Dot Foundation; Ministero dell'Università e della Ricerca; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Complexity index; Computational model; Neuroscience; Computer science; Node (physics); Psychology; Artificial intelligence; Algorithm; Physics","score_opus":0.09471878156467872,"score_gpt":0.3287286133990675,"score_spread":0.23400983183438878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391098728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761264,0.000031161282,0.014023405,0.003570621,0.00005639424,0.00023470975,0.00006674349,0.000072211486,0.0058183735],"genre_scores_gemma":[0.99742395,9.594823e-7,0.0013050593,0.0011897458,0.000021915523,0.00001798781,0.000002093626,0.0000061942255,0.000032094562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986549,0.00006266986,0.00016881611,0.00043530145,0.00047372244,0.00020456676],"domain_scores_gemma":[0.9933341,0.006438795,0.00006160289,0.00009779242,0.000019789875,0.000047922655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105238,0.000119499266,0.00012862003,0.00011303376,0.0007958015,0.000116923555,0.0002056003,0.00002687705,0.000014142731],"category_scores_gemma":[0.000517366,0.00007594508,0.0000484856,0.0006381137,0.0018434866,0.00012514745,0.000115505405,0.00015097126,0.000010505695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109629345,0.00004450112,0.0003417052,0.000017083823,0.000009933846,0.000004331281,0.0025577785,0.6731602,0.008166482,0.3143717,0.00087632413,0.0004389748],"study_design_scores_gemma":[0.00008788645,0.00008978453,0.0063244035,0.000020508098,0.000004188533,0.00004661803,0.00062634406,0.8474136,0.0005347512,0.14475356,0.000017337143,0.000081018254],"about_ca_topic_score_codex":0.000055964676,"about_ca_topic_score_gemma":0.00011260331,"teacher_disagreement_score":0.17425339,"about_ca_system_score_codex":0.00005009075,"about_ca_system_score_gemma":0.0001587085,"threshold_uncertainty_score":0.67924035},"labels":[],"label_agreement":null},{"id":"W4391131306","doi":"10.3390/app14020946","title":"Pilot Study on the Biomechanical Quantification of Effective Offensive Range and Ball Speed Enhancement of the Diving Header in Soccer: Insights for Skill Advancement and Application Strategy","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Offensive; Ball (mathematics); Header; Mechanical engineering; Engineering; Computer science; Mathematics; Operations research","score_opus":0.05633237929343427,"score_gpt":0.33486437697067745,"score_spread":0.2785319976772432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391131306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961724,0.00021799642,0.0006983368,0.00038621642,0.000049173956,0.0023120479,0.0000015424018,0.0000056840345,0.00015656327],"genre_scores_gemma":[0.99961746,0.000032142107,0.000048138787,0.00007128693,0.00001745176,0.00020128847,0.0000014681359,0.00000358858,0.000007158795],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992498,0.000011083913,0.0001934085,0.00024208169,0.00021097426,0.0000926494],"domain_scores_gemma":[0.9995855,0.00018332897,0.000074708485,0.00011111505,0.00003008709,0.000015274009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060542306,0.00007247013,0.00014004837,0.000073055504,0.00009380405,0.000013753484,0.00006214927,0.000012652594,0.000001828571],"category_scores_gemma":[0.000012282959,0.000036971836,0.000013722532,0.00028164475,0.00019783527,0.00003915279,0.000025259495,0.00006411852,4.5753222e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051296566,0.001027311,0.024151789,0.000378015,0.00009081243,7.3809775e-7,0.016471192,0.00009598224,0.83845395,0.069595985,0.0000176109,0.049203668],"study_design_scores_gemma":[0.0021722738,0.0061452514,0.5910691,0.0005433259,0.00012496597,0.0000022301103,0.031858496,0.011419382,0.35310447,0.0032980742,0.000091673275,0.00017075062],"about_ca_topic_score_codex":0.000035736135,"about_ca_topic_score_gemma":0.00004342828,"teacher_disagreement_score":0.5669173,"about_ca_system_score_codex":0.0000153935,"about_ca_system_score_gemma":0.000033921064,"threshold_uncertainty_score":0.15076678},"labels":[],"label_agreement":null},{"id":"W4391578286","doi":"10.3390/app14041347","title":"High-Temperature Creep and Microstructure Evolution of Alloy 800H Weldments with Inconel 625 and Haynes 230 Filler Materials","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Inconel 625; Creep; Microstructure; Materials science; Alloy; Metallurgy","score_opus":0.003936706029882772,"score_gpt":0.1741255201648187,"score_spread":0.17018881413493592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391578286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967129,0.0023120733,0.000044458215,0.00009299485,0.0002916899,0.00017088978,0.000037117636,0.00007626334,0.00026160857],"genre_scores_gemma":[0.99824464,0.00012302281,0.0014422629,0.000044435903,0.000058811904,0.000008474741,0.0000046802347,0.000012565725,0.00006112511],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926406,0.0000068016902,0.00015293289,0.00025797132,0.000141381,0.00017682729],"domain_scores_gemma":[0.99980706,0.00001991442,0.000020380912,0.00008843471,0.000015073518,0.000049161583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001201174,0.00014963678,0.00018775073,0.000063760526,0.00010313512,0.00015007435,0.000113319315,0.00009894264,0.000056986966],"category_scores_gemma":[0.0000032185687,0.00009383799,0.000010595772,0.0001528937,0.0002617371,0.00014888147,0.000054549917,0.00009121288,0.000002711402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014777823,0.0000016849813,0.000016521317,0.00017629137,0.000020140067,0.0000013672378,0.00025469266,0.00016137857,0.9923104,0.006010521,0.000405093,0.0006271272],"study_design_scores_gemma":[0.00025188402,0.00009417334,0.0011101736,0.00013899922,0.000028448856,0.000029641364,0.0004187845,0.00013530649,0.9927092,0.0036805938,0.0011702906,0.00023246823],"about_ca_topic_score_codex":0.000032724598,"about_ca_topic_score_gemma":0.000014365545,"teacher_disagreement_score":0.0023299276,"about_ca_system_score_codex":0.000015384196,"about_ca_system_score_gemma":0.00002052648,"threshold_uncertainty_score":0.38266024},"labels":[],"label_agreement":null},{"id":"W4391613952","doi":"10.3390/app14041361","title":"Sources, Processing, Transport, Health and Climate Impacts of Air Pollutants","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Pollutant; Chemistry","score_opus":0.030557398289495948,"score_gpt":0.31747777605213867,"score_spread":0.28692037776264273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391613952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774251,0.0023739068,0.00025747248,0.0055524316,0.00008414455,0.0002788369,0.000034579058,0.00010244486,0.013891104],"genre_scores_gemma":[0.9953987,0.00028678894,0.0013501622,0.0029005096,0.000022296856,0.00000437215,0.0000010387118,0.0000065672157,0.000029550893],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984528,0.000022457536,0.0002884015,0.00034102137,0.00039973634,0.0004955859],"domain_scores_gemma":[0.99945474,0.000040733954,0.000094999275,0.00008772135,0.0000018503522,0.00031994292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284153,0.000109828456,0.00017759761,0.00005430712,0.0003851266,0.00003509464,0.00017616988,0.00004177648,0.00017147724],"category_scores_gemma":[0.000008752968,0.00008204289,0.000020400325,0.00056445994,0.0009057786,0.000261897,0.00004892579,0.00009769745,0.000044549743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010536388,0.00020707202,0.09159003,0.0029697586,0.0000147835735,0.000013123521,0.059799716,0.0005505145,0.006486572,0.021455403,0.004092455,0.81271523],"study_design_scores_gemma":[0.0014439315,0.002719182,0.83453476,0.0016978276,0.00005859,0.00010405316,0.017117644,0.01722291,0.009228057,0.021187775,0.09291555,0.0017697092],"about_ca_topic_score_codex":0.00033056064,"about_ca_topic_score_gemma":0.00030143012,"teacher_disagreement_score":0.8109455,"about_ca_system_score_codex":0.000046268135,"about_ca_system_score_gemma":0.00019105554,"threshold_uncertainty_score":0.3345612},"labels":[],"label_agreement":null},{"id":"W4391646685","doi":"10.3390/app14041387","title":"A Design Language for Prototyping and Storyboarding Data-Driven Stories","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Computer science; Persona; Storytelling; Human–computer interaction; Narrative; Pluralistic walkthrough; Design language; Visual language; Process (computing); Set (abstract data type); Software engineering; Engineering drawing; Usability; Programming language; Linguistics; Engineering","score_opus":0.1055296468185108,"score_gpt":0.36822724214057917,"score_spread":0.2626975953220684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391646685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040975073,0.00039831304,0.9976356,0.00028153637,0.00014623223,0.00033644857,0.0000146371785,0.00017743395,0.0006000367],"genre_scores_gemma":[0.5743737,0.00003579807,0.42468402,0.00041768735,0.00013733632,0.00011719347,0.000029595654,0.000008492357,0.0001961842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991599,0.000015046515,0.00009029543,0.0004185299,0.00016658203,0.00014966275],"domain_scores_gemma":[0.9995117,0.00016639053,0.000022730566,0.00024780573,0.000012826299,0.000038541086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080383674,0.00006523164,0.00007408095,0.00008989001,0.00025396654,0.0008001286,0.0008111042,0.000016950713,0.0000028062925],"category_scores_gemma":[0.000034813613,0.000051627976,0.000008782111,0.00041131457,0.00012456259,0.0006719735,0.00028119326,0.000034475433,0.000009161791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000275113,0.00001264167,0.000018520563,0.00010574724,0.000017754086,0.0000039433357,0.0065208157,0.00041575136,0.0038507814,0.9032334,0.008271596,0.07754626],"study_design_scores_gemma":[0.00006849089,0.000034661516,0.000004911913,0.000026546833,0.0000069954685,0.0000028299492,0.00069658825,0.9639421,0.0010739658,0.0019741948,0.032046035,0.00012264827],"about_ca_topic_score_codex":0.0000032064308,"about_ca_topic_score_gemma":0.0000026213627,"teacher_disagreement_score":0.96352637,"about_ca_system_score_codex":0.000009819957,"about_ca_system_score_gemma":0.00010308113,"threshold_uncertainty_score":0.77156585},"labels":[],"label_agreement":null},{"id":"W4391883589","doi":"10.3390/app14041579","title":"Simultaneous Trajectory and Speed Planning for Autonomous Vehicles Considering Maneuver Variants","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trajectory; Control theory (sociology); Sequential quadratic programming; Kinematics; Trajectory optimization; Mathematics; Position (finance); Acceleration; Tangent; Quadratic programming; Computer science; Mathematical optimization; Optimal control; Geometry; Physics; Classical mechanics; Artificial intelligence","score_opus":0.018960742478443884,"score_gpt":0.24480660705981055,"score_spread":0.22584586458136668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391883589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978606,0.0018839457,0.0082038045,0.000105554594,0.00034600313,0.00028048648,0.000010277468,0.0016192727,0.008944686],"genre_scores_gemma":[0.996829,0.000017896691,0.00295406,0.000049445396,0.000050136772,0.000016768588,0.000001162889,0.000018290873,0.000063265325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991668,0.0000041067165,0.00015525353,0.00029424074,0.00007925091,0.00030034376],"domain_scores_gemma":[0.99942535,0.00042427256,0.000012628165,0.00008821398,0.000005578856,0.000043948963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258415,0.00013549016,0.00014566057,0.000118208955,0.00023257776,0.00008923563,0.00014722577,0.00011116813,0.000013069773],"category_scores_gemma":[0.000015695745,0.0001259581,0.000024066365,0.00016450052,0.00028841948,0.00009670456,0.000031369254,0.0001520529,0.000016831775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000374355,0.000028899767,0.0005530147,0.0005892829,0.00020088135,0.00026809596,0.00598145,0.49495658,0.19725497,0.089599915,0.0011900973,0.20933938],"study_design_scores_gemma":[0.00024855311,0.00006314863,0.00058440154,0.000055446948,0.000029645264,0.00008038946,0.00089461665,0.9634072,0.020201271,0.0084752,0.0055659823,0.00039415172],"about_ca_topic_score_codex":0.0000023612502,"about_ca_topic_score_gemma":0.000003995306,"teacher_disagreement_score":0.4684506,"about_ca_system_score_codex":0.000029087758,"about_ca_system_score_gemma":0.000037847665,"threshold_uncertainty_score":0.51364225},"labels":[],"label_agreement":null},{"id":"W4391941478","doi":"10.3390/app14041614","title":"Strength Reduction Method for the Assessment of Existing Large Reinforced Concrete Structures","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Finite element method; Structural engineering; Strength reduction; Ultimate tensile strength; Reduction (mathematics); Computer science; Engineering; Materials science; Mathematics; Composite material","score_opus":0.02507203102163259,"score_gpt":0.3276441720179057,"score_spread":0.3025721409962731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391941478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007764134,0.00028350475,0.9874003,0.00007767399,0.0002676216,0.00013296533,0.000010673902,0.00027192343,0.0037912193],"genre_scores_gemma":[0.9350589,0.000015405989,0.06475401,0.000004179464,0.00006679785,0.000029390587,0.000002564393,0.0000066191587,0.000062150175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994134,0.0000045236784,0.00014994983,0.00012981934,0.00015113455,0.00015118104],"domain_scores_gemma":[0.99960023,0.0002534742,0.000017426693,0.00009746786,0.000011613173,0.00001978475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063738634,0.000072775125,0.000105110994,0.0000636802,0.00010956167,0.000055966124,0.00015728506,0.00003233686,0.000015775398],"category_scores_gemma":[0.000022371356,0.000046558078,0.00005678113,0.0003932953,0.00005277109,0.000038469185,0.000016499778,0.00009550127,4.3470186e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.9550128e-7,1.4306687e-7,3.3022323e-7,0.00005308375,0.000028811513,6.3404315e-8,0.000055789904,0.76254696,0.061299708,0.16976804,0.00010866453,0.0061381124],"study_design_scores_gemma":[0.000037349982,0.000011348113,0.000019708077,0.000013796166,0.000033366374,0.0000010240963,0.00030095447,0.982202,0.014184674,0.0006496279,0.0024842236,0.00006194214],"about_ca_topic_score_codex":0.0000075299245,"about_ca_topic_score_gemma":4.1184504e-7,"teacher_disagreement_score":0.92729473,"about_ca_system_score_codex":0.000013380189,"about_ca_system_score_gemma":0.00001726498,"threshold_uncertainty_score":0.18985832},"labels":[],"label_agreement":null},{"id":"W4391945914","doi":"10.3390/app14041615","title":"Distributed Detection of Large-Scale Internet of Things Botnets Based on Graph Partitioning","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Botnet; Computer science; Internet of Things; Computer security; Computer network; The Internet; World Wide Web","score_opus":0.010306839064811469,"score_gpt":0.23339352743523367,"score_spread":0.2230866883704222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391945914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14018884,0.00009940301,0.85639083,0.00016290971,0.00046449204,0.00009451992,0.0000027049202,0.00013181253,0.0024644816],"genre_scores_gemma":[0.99654365,0.000008155874,0.0032663294,0.00013421432,0.000023235207,0.000011736393,0.0000019878698,0.0000027095325,0.000007978865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988609,0.000033257667,0.00022694634,0.00032918254,0.00037353966,0.00017615902],"domain_scores_gemma":[0.9995366,0.00012369268,0.00009507362,0.00017394114,0.000034055873,0.000036653237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596846,0.00008216643,0.00011283322,0.00019763265,0.0001372108,0.00011024022,0.00040157544,0.000049694223,0.000021210903],"category_scores_gemma":[0.0000150401975,0.00006896615,0.00005979623,0.0013505775,0.00017171331,0.00034393492,0.000076163116,0.00011781018,0.000010259048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013158892,0.0005268112,0.00039236734,0.00047610042,0.000045282373,0.0000109528355,0.008152444,0.026032077,0.1925393,0.60134274,0.0018236139,0.16852672],"study_design_scores_gemma":[0.00009102347,0.00020465069,0.00030194077,0.00009211266,0.000004416773,0.0000018278164,0.00005065537,0.7190388,0.26956075,0.009725618,0.000848241,0.000079997604],"about_ca_topic_score_codex":0.000031946707,"about_ca_topic_score_gemma":0.000018465422,"teacher_disagreement_score":0.85635483,"about_ca_system_score_codex":0.00001622077,"about_ca_system_score_gemma":0.000036679885,"threshold_uncertainty_score":0.28123578},"labels":[],"label_agreement":null},{"id":"W4391960083","doi":"10.3390/app14051688","title":"Biomedical Imaging Technologies for Cardiovascular Disease - Volume II","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Cardiology","score_opus":0.013891529050080868,"score_gpt":0.2747102020565894,"score_spread":0.2608186730065086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391960083","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17986429,0.33542174,0.25903058,0.1596649,0.0075546377,0.004726589,0.0003126005,0.01073639,0.042688277],"genre_scores_gemma":[0.9950096,0.000061393446,0.0041447263,0.00020209583,0.00022199855,0.0001251713,0.000013879602,0.000011048169,0.000210088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987626,0.000004089118,0.000116080904,0.00040864016,0.0004245631,0.0002840229],"domain_scores_gemma":[0.9994984,0.0001099317,0.000009810116,0.00025221426,0.000026975498,0.00010266448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000537655,0.00010076156,0.00018954746,0.0001870861,0.00026995203,0.0001003825,0.0001294617,0.0000302384,0.000007872643],"category_scores_gemma":[0.00035717976,0.00007501787,0.00030205652,0.0004980462,0.00085689063,0.000058113343,0.00009855645,0.00009503487,0.00004286313],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073151605,0.00023902996,0.015497969,0.00088357716,0.00077596004,0.0004771364,0.0005243967,0.00025386235,0.0031662583,0.064744785,0.21808124,0.69528264],"study_design_scores_gemma":[0.0005760772,0.000094163035,0.0015272711,0.00022145735,0.000949299,0.00006318042,0.0016244942,0.0188515,0.0010804888,0.013021252,0.96168387,0.00030696834],"about_ca_topic_score_codex":0.000008513335,"about_ca_topic_score_gemma":1.00330254e-7,"teacher_disagreement_score":0.8151453,"about_ca_system_score_codex":0.000028611374,"about_ca_system_score_gemma":0.00021833961,"threshold_uncertainty_score":0.3157249},"labels":[],"label_agreement":null},{"id":"W4392378993","doi":"10.3390/app14052136","title":"Effects of Rib Spacing and Grout Annulus on Grouted Rock Bolt Performance Utilizing Fiber Optic Strain Sensing","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Grout; Geotechnical engineering; Geology; Materials science; Structural engineering; Engineering","score_opus":0.006184904910055711,"score_gpt":0.1980258932639192,"score_spread":0.19184098835386348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392378993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877334,0.0006174476,0.00562403,0.000019485977,0.00023450292,0.00011946862,0.0000019715192,0.0004065459,0.0052430965],"genre_scores_gemma":[0.9975876,0.000025469117,0.002289179,0.000010172934,0.00004167063,0.0000030094238,8.524986e-7,0.000015597847,0.000026445994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913156,0.0000060665125,0.00015051969,0.00023612115,0.00020457445,0.00027116723],"domain_scores_gemma":[0.9996358,0.00019772262,0.000013743823,0.00008921039,0.000006907748,0.00005662352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753511,0.00015601692,0.00016532418,0.00013613059,0.00011016164,0.00010031567,0.00009809562,0.0000688907,0.000003870082],"category_scores_gemma":[0.00001783279,0.00012987107,0.000028082806,0.0003641073,0.00008245744,0.00010364223,0.000027686556,0.00019744152,0.0000066712796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006092437,0.000006777032,0.000009763805,0.0013696788,0.000038957827,0.000015515929,0.0007052978,0.776359,0.14917544,0.016827134,0.00005205907,0.05543425],"study_design_scores_gemma":[0.00015488757,0.00009481384,0.0028226988,0.00041455185,0.000024986884,0.000029010358,0.00017181713,0.95916104,0.035580795,0.0010284287,0.00022620076,0.0002907509],"about_ca_topic_score_codex":0.000006383763,"about_ca_topic_score_gemma":9.045906e-7,"teacher_disagreement_score":0.18280202,"about_ca_system_score_codex":0.000022570026,"about_ca_system_score_gemma":0.00001131229,"threshold_uncertainty_score":0.52959883},"labels":[],"label_agreement":null},{"id":"W4392548400","doi":"10.3390/app14062253","title":"Improved Adversarial Transfer Network for Bearing Fault Diagnosis under Variable Working Conditions","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Adversarial system; Computer science; Fault (geology); Rotor (electric); Artificial intelligence; Data mining; Domain (mathematical analysis); Dual (grammatical number); Bearing (navigation); Metric (unit); Feature (linguistics); Machine learning; Pattern recognition (psychology); Engineering; Mathematics","score_opus":0.019021918278476845,"score_gpt":0.27929126989239883,"score_spread":0.260269351613922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392548400","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06828819,0.0014134316,0.8747776,0.0004664296,0.0031368183,0.0021433025,0.000107408065,0.004834567,0.04483223],"genre_scores_gemma":[0.9737606,0.00007097104,0.023821233,0.00016163122,0.00054006337,0.0015570433,0.000022071836,0.00003833577,0.00002806604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870336,0.000009211993,0.0002365655,0.00038104577,0.0001799354,0.0004899028],"domain_scores_gemma":[0.99914116,0.00061930355,0.000009846626,0.00014478817,0.000014186849,0.00007074201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005072417,0.00019171603,0.00018695832,0.00012347611,0.00034516832,0.00031586166,0.0003142,0.000109726534,0.00011706596],"category_scores_gemma":[0.000015632559,0.00018012049,0.000079324716,0.0007337053,0.0001282109,0.00019341064,0.000030880525,0.00018876522,0.000011307415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008667059,0.000042133805,0.0004058306,0.00018821257,0.0001405005,0.0000019218505,0.00039017395,0.41980052,0.027730454,0.51195836,0.029130278,0.010202943],"study_design_scores_gemma":[0.0006200712,0.00013482665,0.00032971788,0.0004339773,0.00019502593,0.0000049307323,0.0002467866,0.75209403,0.053974718,0.08786341,0.102989286,0.0011132129],"about_ca_topic_score_codex":0.00004118,"about_ca_topic_score_gemma":0.000050843904,"teacher_disagreement_score":0.9054724,"about_ca_system_score_codex":0.000065050444,"about_ca_system_score_gemma":0.000046049692,"threshold_uncertainty_score":0.73451006},"labels":[],"label_agreement":null},{"id":"W4392654384","doi":"10.3390/app14062323","title":"Brief Review of Recent Developments in Fiber Lasers","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science","score_opus":0.033617642573711484,"score_gpt":0.2962325745534471,"score_spread":0.2626149319797356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392654384","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19107114,0.008152098,0.00044095944,0.0028170033,0.0004895628,0.00061414833,0.000018664488,0.00016818666,0.79622823],"genre_scores_gemma":[0.9955202,0.0010201904,0.003166052,0.00011450637,0.00002114329,0.00002670198,0.000002482303,0.000003440987,0.00012528291],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938,0.000006649902,0.00019924533,0.00016237053,0.00012043881,0.00013129937],"domain_scores_gemma":[0.9998374,0.000030436064,0.000024977142,0.00008218466,0.0000120150435,0.000013007251],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037172495,0.00005792943,0.00011837675,0.000032268308,0.000029416406,0.00003216234,0.00021383852,0.000014141189,0.0011857573],"category_scores_gemma":[0.000009992701,0.00003989663,0.000017578703,0.00033468156,0.00015178615,0.000036959056,0.00010283532,0.000047743622,0.000040065326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074684717,0.00007271171,0.00043759437,0.001583096,0.000025298334,0.0000017525477,0.00008452467,0.00006786823,0.003930828,0.42725316,0.004176339,0.56235933],"study_design_scores_gemma":[0.00022179881,0.00007894956,0.0001953071,0.0056699156,0.000022067226,6.113166e-7,0.00048192384,0.00024662077,0.06021044,0.07259308,0.8598345,0.00044478057],"about_ca_topic_score_codex":0.000015192859,"about_ca_topic_score_gemma":3.8336225e-7,"teacher_disagreement_score":0.8556582,"about_ca_system_score_codex":0.000009418174,"about_ca_system_score_gemma":0.00006475394,"threshold_uncertainty_score":0.9997273},"labels":[],"label_agreement":null},{"id":"W4392696443","doi":"10.3390/app14062384","title":"A Study on the Surrogate-Based Optimization of Flexible Wings Considering a Flutter Constraint","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flutter; Constraint (computer-aided design); Computer science; Mathematical optimization; Structural engineering; Engineering; Mathematics; Mechanical engineering; Aerospace engineering; Aerodynamics","score_opus":0.03468813933784622,"score_gpt":0.24762347650828748,"score_spread":0.21293533717044125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392696443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5224056,0.000055233817,0.458648,0.0006559756,0.0003107403,0.0005504957,0.0000050201293,0.00036351284,0.01700539],"genre_scores_gemma":[0.99903405,3.7991865e-7,0.0007611806,0.00012761935,0.000021441476,0.00004148651,4.2426598e-7,0.0000056925983,0.000007735762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944365,0.000013094092,0.00013218299,0.0001267521,0.00017230847,0.00011199357],"domain_scores_gemma":[0.9995112,0.00036982016,0.000014043941,0.000074959346,0.000011284661,0.00001873415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322918,0.000070939175,0.00007923596,0.00006655608,0.00010134083,0.00010302823,0.000101109064,0.00001863873,0.0001250564],"category_scores_gemma":[0.000017485141,0.00004741107,0.000020389378,0.0002951139,0.00018131298,0.000061772924,0.000008964986,0.00007091406,0.000019047517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029401021,0.00001611427,0.0000678091,0.000010746584,0.000015749754,0.0000015408143,0.0010936952,0.971678,0.0036986442,0.0230094,0.000110313995,0.00029499922],"study_design_scores_gemma":[0.00022389741,0.00010643767,0.00013931104,0.0000463616,0.00001795428,9.764303e-7,0.0039605363,0.969746,0.025338449,0.00023739954,0.00007351962,0.000109145374],"about_ca_topic_score_codex":0.0000027661365,"about_ca_topic_score_gemma":0.0000027067194,"teacher_disagreement_score":0.47662842,"about_ca_system_score_codex":0.000010372233,"about_ca_system_score_gemma":0.00003900733,"threshold_uncertainty_score":0.19333673},"labels":[],"label_agreement":null},{"id":"W4392763661","doi":"10.3390/app14062430","title":"Wiener Filter Using the Conjugate Gradient Method and a Third-Order Tensor Decomposition","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ministerul Cercetării, Inovării şi Digitalizării","keywords":"Wiener filter; Conjugate gradient method; Robustness (evolution); Algorithm; Mathematical optimization; Mathematics; Tensor decomposition; Applied mathematics; Third order; Computer science; Tensor (intrinsic definition)","score_opus":0.07959954090645134,"score_gpt":0.3947157876944449,"score_spread":0.31511624678799355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392763661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6390189,0.0002792046,0.33606002,0.006091026,0.00020851883,0.000687765,0.000018615283,0.00030146836,0.017334525],"genre_scores_gemma":[0.8475498,0.000010008641,0.15140826,0.000712717,0.00006916784,0.00006859022,0.0000017588916,0.0000109060275,0.0001687966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907124,0.000042691016,0.00017977666,0.00031650555,0.00020375257,0.00018605913],"domain_scores_gemma":[0.99927026,0.0004416498,0.0000445975,0.0001621859,0.00003173872,0.00004957579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059832324,0.00010995413,0.00011262113,0.000073044335,0.00054210663,0.00029308553,0.00016737824,0.000034667813,0.000057143963],"category_scores_gemma":[0.00001236555,0.00006525018,0.000035760037,0.00043823628,0.00030205914,0.00009713517,0.00005606039,0.00010287532,0.000027592125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031874788,0.000028427985,0.000013824089,0.000021896389,0.000017759274,0.0000014111056,0.0010444417,0.00015814672,0.05549112,0.93948966,0.0016269074,0.002103232],"study_design_scores_gemma":[0.00023059302,0.00004237972,0.00027968956,0.000072511764,0.00013253398,0.00016934515,0.0012452946,0.13155639,0.01571139,0.8374065,0.012804906,0.00034843283],"about_ca_topic_score_codex":0.000011098693,"about_ca_topic_score_gemma":0.0000062199924,"teacher_disagreement_score":0.20853092,"about_ca_system_score_codex":0.00001687556,"about_ca_system_score_gemma":0.00002838995,"threshold_uncertainty_score":0.41695008},"labels":[],"label_agreement":null},{"id":"W4392817178","doi":"10.3390/app14062442","title":"Comprehensive Evaluation of Lateral Performance of Innovative Post in Sand","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Mitacs","keywords":"Environmental science","score_opus":0.023314047412493866,"score_gpt":0.2577410599905539,"score_spread":0.23442701257806003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392817178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714285,0.0001755788,0.00020588383,0.0000060514226,0.00006913377,0.000082839746,0.000001758976,0.000040827497,0.0022750609],"genre_scores_gemma":[0.9998575,0.000010535703,0.000110203946,0.0000021406518,0.0000047765316,0.000008465949,0.0000022318916,0.000002874757,0.0000012570739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994889,0.000004915938,0.00013743536,0.00007160757,0.00023088242,0.00006624795],"domain_scores_gemma":[0.9998373,0.000034688066,0.000009761327,0.000040260784,0.00007108899,0.0000069030934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033934545,0.000041472736,0.00007209647,0.000120325,0.000009229341,0.000008191097,0.000069330075,0.000024528625,0.000008461928],"category_scores_gemma":[0.000009966539,0.000035451736,0.0000070407405,0.00086768845,0.00007285749,0.000060299066,0.000009933525,0.000048751077,0.0000016182711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015094831,0.0000042483452,0.00041412725,0.00011767877,0.0000027893905,4.799335e-8,0.0004398988,0.9268555,0.06346854,0.0011682439,0.0000031278375,0.007524286],"study_design_scores_gemma":[0.00008478431,0.00003316812,0.03182684,0.00006216296,0.0000025196034,3.098669e-7,0.00006902377,0.9359265,0.03162099,0.00029626326,0.00002621726,0.00005125271],"about_ca_topic_score_codex":0.000008972982,"about_ca_topic_score_gemma":0.0000018781773,"teacher_disagreement_score":0.031847544,"about_ca_system_score_codex":0.000017140803,"about_ca_system_score_gemma":0.00002257591,"threshold_uncertainty_score":0.144568},"labels":[],"label_agreement":null},{"id":"W4392988003","doi":"10.3390/app14062593","title":"Linear Axis Guide Rail Misalignment Detection and Localization Using a Novel Signal Segmentation Analysis Technique","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; SIGNAL (programming language); Segmentation; Computer vision; Pattern recognition (psychology)","score_opus":0.011832032641556163,"score_gpt":0.2448653266490838,"score_spread":0.23303329400752765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392988003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068714194,0.00012444626,0.9301106,0.0000040723994,0.000085762644,0.00012067964,0.0000047455537,0.00030401346,0.0005315371],"genre_scores_gemma":[0.95816886,0.000020462692,0.04170764,0.0000081210665,0.000037917136,0.000028143117,0.0000058889364,0.000010715568,0.000012270328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993572,0.000003849258,0.00014911272,0.0001936451,0.00016886063,0.00012729171],"domain_scores_gemma":[0.99985725,0.000027560329,0.000012457492,0.000057644727,0.000010201225,0.000034870056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027829726,0.00009520192,0.00008766671,0.0002806819,0.00010096764,0.00010320297,0.000053412918,0.000047675785,0.000008247831],"category_scores_gemma":[0.0000031408492,0.00009017742,0.000027330318,0.0011026869,0.000052477353,0.000105320236,0.000011998293,0.00005354055,0.0000020489003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.552233e-7,0.0000021621481,0.000037502086,0.000024464285,0.000029094848,2.406911e-7,0.00010398353,0.6922663,0.30475768,0.00023232133,0.0000028943844,0.0025428957],"study_design_scores_gemma":[0.00003396454,0.000011484526,0.000048298094,0.000012944952,0.00006849908,0.0000037733175,0.00010595273,0.944021,0.055292614,0.0001051134,0.000191579,0.00010481588],"about_ca_topic_score_codex":0.000035148983,"about_ca_topic_score_gemma":0.000017054645,"teacher_disagreement_score":0.88945466,"about_ca_system_score_codex":0.00007696493,"about_ca_system_score_gemma":0.000013221591,"threshold_uncertainty_score":0.36773282},"labels":[],"label_agreement":null},{"id":"W4393003732","doi":"10.3390/app14062589","title":"Optimized Two-Tier Caching with Hybrid Millimeter-Wave and Microwave Communications for 6G Networks","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Multimedia University","keywords":"Computer science; Backhaul (telecommunications); Cache; Computer network; Base station; Exploit; Data transmission","score_opus":0.036580156025216325,"score_gpt":0.2563270457599049,"score_spread":0.21974688973468856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393003732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024678541,0.0024818175,0.9673459,0.0012415485,0.00021299552,0.00030077857,0.0000042153324,0.00017986352,0.0035543486],"genre_scores_gemma":[0.86199594,0.00006258037,0.13734329,0.0003971093,0.000044927052,0.00006126804,0.0000037496459,0.000006963407,0.0000841822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988548,0.00003458827,0.00015557022,0.0004889481,0.00017616576,0.00028991268],"domain_scores_gemma":[0.99887747,0.0004852906,0.00004454596,0.00048879534,0.000030265344,0.00007362762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072307256,0.00013498198,0.00015174133,0.00011559619,0.00065589696,0.0008839176,0.00083527324,0.000022444156,0.0000010258912],"category_scores_gemma":[0.000007468654,0.00009972808,0.000046011854,0.00035378707,0.00037439135,0.00032217524,0.00033698743,0.00015789324,0.0000033926851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090495465,0.00013691091,0.00013409964,0.00008496595,0.0002524737,0.000040187893,0.004842612,0.04461489,0.023819119,0.4828621,0.0033738143,0.43974835],"study_design_scores_gemma":[0.00032958254,0.000077053075,0.0000120686655,0.00004878394,0.000021732609,0.000051814703,0.00013783721,0.99427456,0.000667362,0.0028717045,0.0013065133,0.00020097401],"about_ca_topic_score_codex":0.00004916763,"about_ca_topic_score_gemma":0.000019881825,"teacher_disagreement_score":0.9496597,"about_ca_system_score_codex":0.00001910316,"about_ca_system_score_gemma":0.00007220945,"threshold_uncertainty_score":0.8523638},"labels":[],"label_agreement":null},{"id":"W4393005048","doi":"10.3390/app14062576","title":"Adversarial Attacks on Medical Segmentation Model via Transformation of Feature Statistics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Ministry of Education, India; National Research Foundation of Korea; Hanyang University; Korea Institute for Advancement of Technology; Ministry of Trade, Industry and Energy; National Research Foundation","keywords":"Computer science; Segmentation; Artificial intelligence; Feature (linguistics); Adversarial system; Pattern recognition (psychology); Transformation (genetics); Statistics; Mathematics","score_opus":0.01648488935171837,"score_gpt":0.303485871632201,"score_spread":0.2870009822804826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393005048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021123802,0.000022782127,0.988497,0.0011612496,0.0005478131,0.00015219024,0.0000070331166,0.0001253834,0.007374158],"genre_scores_gemma":[0.82377476,0.0000068573017,0.17591281,0.00017088147,0.00007277658,0.000009152282,0.000008757911,0.0000049421064,0.000039100516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807125,0.000038945072,0.00022072216,0.00033952866,0.0011338029,0.00019572719],"domain_scores_gemma":[0.999439,0.0002462554,0.00006802012,0.00014985139,0.000028693074,0.00006817353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008797846,0.00011517207,0.00012620704,0.00016210462,0.00018879818,0.00012960563,0.00071127625,0.00009034967,0.000030226025],"category_scores_gemma":[0.00004584833,0.00009316603,0.000032355743,0.0006133584,0.00020458184,0.00048353177,0.00007292652,0.00025756302,0.000027280359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010146937,0.00001768576,0.000006963045,0.000036416208,0.00000828706,0.0000033796289,0.002606121,0.26352513,0.0013244606,0.64214176,0.0006829,0.089636765],"study_design_scores_gemma":[0.00017706731,0.00006463614,0.000021232969,0.000029579565,0.0000070515944,0.0000032967,0.00009267341,0.97904396,0.0020553232,0.018250499,0.00015185746,0.00010279922],"about_ca_topic_score_codex":0.000008892817,"about_ca_topic_score_gemma":0.0000058262995,"teacher_disagreement_score":0.82166237,"about_ca_system_score_codex":0.000041645337,"about_ca_system_score_gemma":0.00024949602,"threshold_uncertainty_score":0.37992007},"labels":[],"label_agreement":null},{"id":"W4393026050","doi":"10.3390/app14062594","title":"Techniques for Measuring the Fluctuation of Residual Lower Limb Volume in Clinical Practices: A Systematic Review of the Past Four Decades","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Residual; Volume (thermodynamics); Geology; Computer science; Physics; Algorithm; Thermodynamics","score_opus":0.20976882727912974,"score_gpt":0.49767994879574873,"score_spread":0.287911121516619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393026050","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035777655,0.9866522,0.000070379974,0.0003955636,0.00051915296,0.01018762,0.000020808673,0.00003020732,0.0020883002],"genre_scores_gemma":[0.001099121,0.99449664,0.00058647024,0.00015610339,0.0002579407,0.0030865986,0.0000059122804,0.000019149931,0.00029204207],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9941252,0.0018355845,0.0027210482,0.00042284327,0.000616222,0.00027910693],"domain_scores_gemma":[0.99120456,0.0033604994,0.0046955016,0.0005480667,0.00016265399,0.000028709193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023006363,0.00022131379,0.001676894,0.0001324562,0.00033533116,0.000021297514,0.0010662457,0.00030415127,0.0000041064004],"category_scores_gemma":[0.0033748008,0.00009759089,0.00045177824,0.0009913261,0.00035601342,0.00009810599,0.00022109947,0.00077311,0.000020984262],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050145495,0.000059462112,0.000017767201,0.9826966,0.000043281612,1.2793531e-7,0.00013263423,1.2745755e-8,0.000004256914,0.0025139928,0.0014501846,0.013076684],"study_design_scores_gemma":[0.00007164815,0.00008468173,0.000110789915,0.9455724,0.0018211373,0.0000021718201,0.00047723146,0.000013114571,3.4913717e-7,0.0014350641,0.05027415,0.00013727292],"about_ca_topic_score_codex":0.000020137983,"about_ca_topic_score_gemma":0.00008121704,"teacher_disagreement_score":0.048823964,"about_ca_system_score_codex":0.00007165267,"about_ca_system_score_gemma":0.00095942226,"threshold_uncertainty_score":0.7973592},"labels":[],"label_agreement":null},{"id":"W4393142380","doi":"10.3390/app14072697","title":"Stability Evaluation of a Simplified Reclaimer Using Fluid–Structure Interaction","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Vale Canada Limited","keywords":"Computer science","score_opus":0.06078436011460304,"score_gpt":0.3177596290078695,"score_spread":0.2569752688932665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393142380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9358416,0.00012737288,0.0554511,0.000020888468,0.00025791145,0.00009896061,0.000004591551,0.000090072404,0.008107458],"genre_scores_gemma":[0.9988103,0.000002452971,0.0011369936,0.000008616644,0.000026600772,0.0000036001238,0.0000048647807,0.0000039527663,0.0000026541245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931103,0.000018576424,0.0001494157,0.00014095048,0.000305316,0.000074709555],"domain_scores_gemma":[0.99981374,0.000033814296,0.000016773729,0.00008234934,0.00003556521,0.000017749735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005370554,0.000056368917,0.00007498083,0.00010023452,0.000055741253,0.000052640615,0.00006498643,0.000031889627,0.00042751624],"category_scores_gemma":[0.000014559132,0.000046549107,0.00002818844,0.00054765446,0.00006793822,0.00016262056,0.000008941361,0.000052640044,0.0000060921598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016146384,0.0000031095403,0.000053061114,0.000029085122,0.000021862772,5.400247e-8,0.0005186311,0.6111285,0.37135643,0.0024194766,0.00005086921,0.014417314],"study_design_scores_gemma":[0.00003037346,0.0000033012357,0.00010345815,0.0000075199955,0.000045163608,7.111472e-7,0.00046028712,0.9562479,0.040403366,0.0025975285,0.000050857867,0.0000495081],"about_ca_topic_score_codex":0.000012427522,"about_ca_topic_score_gemma":0.000028051767,"teacher_disagreement_score":0.34511945,"about_ca_system_score_codex":0.000063934574,"about_ca_system_score_gemma":0.000049959886,"threshold_uncertainty_score":0.4681003},"labels":[],"label_agreement":null},{"id":"W4393253942","doi":"10.3390/app14072869","title":"Unveiling the Biomechanical Insights: Motor Control Shifts Induced by Shoe Friction Adjustments and Their Impact on Defensive Slide, Crossover Dribbling, and Full Approach Jump in Basketball","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Basketball; Jump; Ankle; Impulse (physics); Crossover study; Physical medicine and rehabilitation; Simulation; Psychology; Mathematics; Computer science; Medicine; Physics; Anatomy; Classical mechanics","score_opus":0.023552073718649782,"score_gpt":0.28363258623156795,"score_spread":0.2600805125129182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393253942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628234,0.0011269505,0.000115544324,0.00019261109,0.00012476122,0.0005305338,0.000007053608,0.00004765633,0.0015725651],"genre_scores_gemma":[0.9990053,0.00008182338,0.00006563456,0.00067501504,0.00008905236,0.000050405502,0.000007572845,0.000011567819,0.000013602817],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872935,0.000011931197,0.00022218045,0.00047050734,0.0002670907,0.0002989551],"domain_scores_gemma":[0.99956304,0.00014012189,0.000051592873,0.00012462736,0.000019969946,0.000100676916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054320315,0.00019878638,0.0002499239,0.00021769485,0.00024236368,0.00016210016,0.00009123785,0.00010201603,0.0000115471],"category_scores_gemma":[0.000017909515,0.00009757437,0.000043129694,0.0005548673,0.0002160829,0.00018412378,0.00003398316,0.0002828856,0.0000059222143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033773137,0.00084769743,0.053184815,0.00043051035,0.0006819138,0.0000755319,0.045603897,0.0003947275,0.8181389,0.01836118,0.0010374231,0.057866096],"study_design_scores_gemma":[0.013978849,0.0056438693,0.3818036,0.001152546,0.0003718478,0.00018395485,0.031825025,0.5299465,0.026665563,0.0043228446,0.0025531808,0.0015522169],"about_ca_topic_score_codex":0.000045062094,"about_ca_topic_score_gemma":0.000007609366,"teacher_disagreement_score":0.7914733,"about_ca_system_score_codex":0.0000510698,"about_ca_system_score_gemma":0.00008995017,"threshold_uncertainty_score":0.3978967},"labels":[],"label_agreement":null},{"id":"W4393279205","doi":"10.3390/app14072842","title":"Inertial and Flexible Resistive Sensor Data Fusion for Wearable Breath Recognition","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Windsor Regional Hospital; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Computer science; Inertial measurement unit; Sensor fusion; Resistive touchscreen; Artificial intelligence; Computer vision; Embedded system","score_opus":0.05472822745034474,"score_gpt":0.28328011808702774,"score_spread":0.22855189063668302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393279205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95311636,0.002708838,0.021298548,0.0005193376,0.00036462132,0.00057687133,0.0003168541,0.003280525,0.017818073],"genre_scores_gemma":[0.9768897,0.00026677636,0.022588365,0.000017488372,0.00007321963,0.000031966185,0.00002988149,0.000012035657,0.000090567635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932593,0.0000016425718,0.00008841555,0.00030910442,0.0000947207,0.00018016511],"domain_scores_gemma":[0.99967295,0.0001413821,0.000008354342,0.00014386518,0.000009319412,0.000024103962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086889595,0.00008200783,0.00008032716,0.000060231738,0.00010626283,0.00007465634,0.00017361538,0.00005654292,0.000007962947],"category_scores_gemma":[0.000051245213,0.00006715742,0.00000777785,0.0002940432,0.00018654384,0.0001750728,0.000088681845,0.0000778009,0.000015009124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010937014,0.0000040226114,0.0000044718568,0.00007243974,0.000008930143,0.000001356266,0.000052328698,0.00054679817,0.87885624,0.0011184883,0.0022747256,0.11704927],"study_design_scores_gemma":[0.00013352347,0.000034502336,0.000023428354,0.000077192075,0.00001655044,0.0000065590243,0.00048573178,0.05850531,0.9034473,0.02387787,0.013174169,0.00021786972],"about_ca_topic_score_codex":0.0000038984836,"about_ca_topic_score_gemma":0.0000034144368,"teacher_disagreement_score":0.1168314,"about_ca_system_score_codex":0.000018062821,"about_ca_system_score_gemma":0.0000049866126,"threshold_uncertainty_score":0.27386},"labels":[],"label_agreement":null},{"id":"W4393388009","doi":"10.3390/app14072974","title":"Sensorimotor Control Using Adaptive Neuro-Fuzzy Inference for Human-Like Arm Movement","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Movement (music); Adaptive neuro fuzzy inference system; Computer science; Movement control; Neuro-fuzzy; Artificial intelligence; Inference system; Inference; Human arm; Fuzzy control system; Fuzzy logic; Physical medicine and rehabilitation; Medicine","score_opus":0.08612575086065982,"score_gpt":0.32019960323477537,"score_spread":0.23407385237411554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393388009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6935444,0.00020230642,0.27374288,0.0011477504,0.0029343131,0.0040109265,0.00014969533,0.00065926166,0.023608437],"genre_scores_gemma":[0.9960679,0.0000039914366,0.0011821213,0.0021541151,0.00021576065,0.00015563816,8.5856783e-7,0.000014237222,0.00020539443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805015,0.000044923567,0.00026449448,0.0007481269,0.0004724605,0.00041983346],"domain_scores_gemma":[0.9987551,0.0008848475,0.00008870018,0.00014797217,0.000034465207,0.00008890928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041233836,0.00018611403,0.00018480564,0.00015049551,0.0006325765,0.00035594712,0.00033873736,0.000044030392,0.000033911427],"category_scores_gemma":[0.00012911564,0.00015069537,0.00006678918,0.00043814155,0.00033439192,0.00027230853,0.000042548418,0.00011565782,0.00003497169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020861466,0.00002686682,0.0000076110286,0.000011704976,0.000003225446,0.0000038704607,0.00011277835,0.0021036777,0.70664024,0.28914618,0.000032508207,0.0018904501],"study_design_scores_gemma":[0.0017713696,0.0010795767,0.0005005587,0.00008307362,0.00008313133,0.0000070633164,0.00044929722,0.76124036,0.107949056,0.11890726,0.0071431333,0.0007860948],"about_ca_topic_score_codex":0.00004924878,"about_ca_topic_score_gemma":0.000010648646,"teacher_disagreement_score":0.7591367,"about_ca_system_score_codex":0.000045806722,"about_ca_system_score_gemma":0.0001262911,"threshold_uncertainty_score":0.61451787},"labels":[],"label_agreement":null},{"id":"W4393495164","doi":"10.3390/app14072979","title":"Classification of Parkinson’s Disease Using Machine Learning with MoCA Response Dynamics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Parkinson's disease; Dynamics (music); Artificial intelligence; Computer science; Machine learning; Disease; Psychology; Medicine; Internal medicine","score_opus":0.03700766242090589,"score_gpt":0.2990759398556391,"score_spread":0.26206827743473315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393495164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965457,0.00035006236,0.00055547955,0.0010053938,0.000020471924,0.0001493138,0.000004839976,0.00004510718,0.0013236831],"genre_scores_gemma":[0.99896836,0.000018334023,0.0007502896,0.00009047576,0.000006504516,0.000009469973,0.0000067183187,0.000005399155,0.00014445328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934417,0.000024865842,0.000087835215,0.0002288257,0.00020794442,0.00010634796],"domain_scores_gemma":[0.99973094,0.00008770216,0.000030555588,0.000075521755,0.0000116945375,0.00006360813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001890714,0.000065684704,0.00009206253,0.0000742665,0.00010155227,0.000023569854,0.00004865866,0.000017498836,0.000020434258],"category_scores_gemma":[0.000027309741,0.000038952527,0.000022154913,0.00035646168,0.00023757161,0.00003540755,0.0000146202865,0.00007440153,0.0000059848444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068104276,0.0005470234,0.8642311,0.00020034831,0.00008729928,0.00025942238,0.00038500328,0.0019661079,0.06351758,0.042925663,0.000035462694,0.019034537],"study_design_scores_gemma":[0.0006281308,0.00091140385,0.52116656,0.000078944715,0.00015476921,0.000007139095,0.00030445505,0.47237566,0.0004339664,0.0029381455,0.0008711897,0.00012964467],"about_ca_topic_score_codex":0.0000149438165,"about_ca_topic_score_gemma":0.0000062018926,"teacher_disagreement_score":0.47040954,"about_ca_system_score_codex":0.00002314541,"about_ca_system_score_gemma":0.00009462739,"threshold_uncertainty_score":0.15884379},"labels":[],"label_agreement":null},{"id":"W4394567328","doi":"10.3390/app14073118","title":"Performance of Eco-Friendly Zero-Cement Particle Board under Harsh Environment","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cement; Waste management; Materials science; Environmental science; Durability; Particle (ecology); Engineering; Composite material; Ecology","score_opus":0.019139950277929,"score_gpt":0.23916203746934017,"score_spread":0.22002208719141117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394567328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862311,0.0002727141,0.00059528375,0.000060262584,0.0001451774,0.000113225724,0.000003933482,0.00006776097,0.012510566],"genre_scores_gemma":[0.99930125,0.0002476961,0.00023276312,0.000020520161,0.000026435377,0.00003675011,0.0000015552483,0.0000073070073,0.00012570608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991026,0.0000059113922,0.00015182696,0.00016463116,0.0003278712,0.0002471545],"domain_scores_gemma":[0.9998072,0.000024546005,0.00000864203,0.00011335331,0.0000031804984,0.000043117794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031952994,0.00007588863,0.00008471519,0.000042167485,0.00006581177,0.00007468219,0.00017108972,0.000019228653,0.0007053347],"category_scores_gemma":[7.378553e-7,0.00006236426,0.000020000745,0.0001529021,0.00014445168,0.00010400312,0.00005840745,0.00004337537,0.00027932588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007477567,0.000011480072,0.000229171,0.0001425463,0.000025483892,0.0000011931958,0.00022285646,0.022541545,0.95535636,0.009287087,0.001204548,0.010970232],"study_design_scores_gemma":[0.00013770348,0.00015335422,0.0006507281,0.000028413819,0.000011151313,5.714897e-7,0.00022802729,0.094999306,0.88731194,0.00031944778,0.015993172,0.00016620374],"about_ca_topic_score_codex":0.0000049880396,"about_ca_topic_score_gemma":7.694596e-7,"teacher_disagreement_score":0.07245776,"about_ca_system_score_codex":0.000032107764,"about_ca_system_score_gemma":0.000018557259,"threshold_uncertainty_score":0.772292},"labels":[],"label_agreement":null},{"id":"W4394720119","doi":"10.3390/app14083204","title":"Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems Using Transfer Learning","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Physics; Scale (ratio); Artificial neural network; Statistical physics; Artificial intelligence; Computer science; Quantum mechanics","score_opus":0.04161899572458597,"score_gpt":0.2845620461019023,"score_spread":0.2429430503773163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394720119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42540878,0.00014515877,0.5725382,0.00008827311,0.00032881543,0.00035378354,0.0000038895046,0.000072548064,0.0010605362],"genre_scores_gemma":[0.9946826,0.0000072078287,0.004594908,0.000032902917,0.00047765678,0.00006130347,0.000009841358,0.000012444086,0.00012112585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910325,0.000010060319,0.00015484724,0.00032154363,0.00010910805,0.00030120503],"domain_scores_gemma":[0.99977475,0.00006853198,0.000021238484,0.000056047822,0.000014575352,0.00006483909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014350687,0.0001326758,0.00013008238,0.00003419599,0.00043155355,0.00023118132,0.00010227574,0.00003142194,0.000033726887],"category_scores_gemma":[5.9244303e-7,0.00010496723,0.000052033643,0.00026388557,0.00019779625,0.00023900229,0.000019698877,0.00017182117,0.0000018441285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010202662,0.00003833414,0.0019102963,0.000059943857,0.000033556396,2.7717573e-7,0.0010106646,0.7000284,0.012465824,0.11482812,0.000075793294,0.16953857],"study_design_scores_gemma":[0.00020923257,0.000030441219,0.0000387854,0.000022104443,0.00001831597,8.672034e-7,0.00025295827,0.99420595,0.0008548861,0.004040982,0.00017225248,0.00015320703],"about_ca_topic_score_codex":0.000045457724,"about_ca_topic_score_gemma":0.000004453083,"teacher_disagreement_score":0.5692738,"about_ca_system_score_codex":0.000009252403,"about_ca_system_score_gemma":0.00003869181,"threshold_uncertainty_score":0.42804393},"labels":[],"label_agreement":null},{"id":"W4394762557","doi":"10.3390/app14083244","title":"The Development of an Automated System for a Quality Evaluation of Engineering BIM Models: A Case Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"","keywords":"Building information modeling; Visualization; Computer science; Database; Systems engineering; Quality (philosophy); Software engineering; Engineering; Data mining; Operations management","score_opus":0.08244500862354975,"score_gpt":0.3419511979695829,"score_spread":0.25950618934603314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394762557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666453,0.00011222736,0.031979263,0.0000014296933,0.00023076459,0.00039888706,0.0000023826683,0.00026272782,0.0003670118],"genre_scores_gemma":[0.9953388,2.3930266e-7,0.004436026,1.6726948e-7,0.0000100584075,0.00020960698,7.357857e-7,0.000003758003,5.9028696e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992884,0.000016542519,0.0002655552,0.0000967537,0.00026406176,0.00006867989],"domain_scores_gemma":[0.9997438,0.00007480889,0.000026079619,0.000071085364,0.00007066436,0.000013538554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021685234,0.000050674316,0.00006972285,0.00006512517,0.000106049774,0.000041874453,0.00007475106,0.000018434224,6.6045425e-7],"category_scores_gemma":[0.00000771709,0.000034182278,0.000013785249,0.0002709645,0.000031555646,0.000093738854,0.000005834104,0.000023526643,3.2665014e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051270276,0.00002448845,0.000017397637,0.00032980673,0.000063532636,6.7329546e-7,0.01060745,0.7343172,0.015443892,0.11453162,0.0000045826814,0.12465427],"study_design_scores_gemma":[0.00008046047,0.000015497266,0.000048413243,0.00001944937,0.000016575532,0.000009592974,0.022935264,0.96792156,0.008644539,0.0002613248,0.000006283187,0.000041071464],"about_ca_topic_score_codex":0.00001838719,"about_ca_topic_score_gemma":0.00011852717,"teacher_disagreement_score":0.23360437,"about_ca_system_score_codex":0.00004631144,"about_ca_system_score_gemma":0.00009558708,"threshold_uncertainty_score":0.13939129},"labels":[],"label_agreement":null},{"id":"W4394807483","doi":"10.3390/app14083318","title":"Numerical Study of a Latent Heat Storage System’s Performance as a Function of the Phase Change Material’s Thermal Conductivity","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Thermal conductivity; Thermal energy storage; Phase-change material; Multiphysics; Materials science; Thermal conduction; Thermodynamics; Work (physics); Latent heat; Heat exchanger; Thermal; Mechanics; Composite material; Physics; Finite element method","score_opus":0.08144210313826179,"score_gpt":0.30656826515291247,"score_spread":0.2251261620146507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394807483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730116,0.00009936854,0.000032354405,0.000019370817,0.0010018209,0.00064679596,0.000019403746,0.00010537259,0.000774377],"genre_scores_gemma":[0.9996788,0.0000035534235,0.0000043260993,0.0000037116338,0.00011144439,0.0001786832,0.0000010375296,0.000011566173,0.0000069004805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896723,0.000051047777,0.0001685711,0.0001875883,0.00042627132,0.00019928189],"domain_scores_gemma":[0.99971646,0.000028458096,0.000022769622,0.00018024942,0.000018923667,0.00003312721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005687444,0.00010491774,0.00018593363,0.000093305585,0.00009055895,0.000057435027,0.00025821384,0.000031484444,0.00007355408],"category_scores_gemma":[0.0000036547124,0.00006572283,0.000025873473,0.00048393273,0.00015072014,0.00016540874,0.000073288655,0.000073286785,0.000016283075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052027128,0.00012520491,0.0000749035,0.00052630214,0.000026542664,0.0000023461375,0.0021840506,0.0022182674,0.9927924,0.00020109407,0.000020164209,0.0017766834],"study_design_scores_gemma":[0.0007829869,0.0011256976,0.0050441776,0.0002061836,0.00004700757,0.00001121585,0.002150194,0.08839021,0.90187776,0.000016115435,0.0001225387,0.00022592842],"about_ca_topic_score_codex":0.000109611996,"about_ca_topic_score_gemma":0.0000035123103,"teacher_disagreement_score":0.09091467,"about_ca_system_score_codex":0.000052702107,"about_ca_system_score_gemma":0.000029992032,"threshold_uncertainty_score":0.26800993},"labels":[],"label_agreement":null},{"id":"W4394821229","doi":"10.3390/app14083277","title":"Topic Modelling of Management Research Assertions to Develop Insights into the Role of Artificial Intelligence in Enhancing the Value Propositions of Early-Stage Growth-Oriented Companies","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Carleton University","funders":"","keywords":"Computer science; Artificial intelligence; Identification (biology); Value (mathematics); Interpretation (philosophy); Data science; Knowledge management; Machine learning","score_opus":0.06387400206298131,"score_gpt":0.3136588629786914,"score_spread":0.24978486091571006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394821229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76390994,0.00014525512,0.07034069,0.0009531945,0.00021224972,0.0009800774,5.5897095e-7,0.000031567048,0.16342647],"genre_scores_gemma":[0.99780554,0.000008544975,0.0019031318,0.00006226705,0.00005714563,0.000081089056,0.0000017168998,0.0000051141906,0.00007542807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985424,0.000027215945,0.00048655816,0.00023256982,0.00052230514,0.00018895265],"domain_scores_gemma":[0.9992221,0.00012563348,0.000090540605,0.00016976976,0.00038620128,0.0000057493535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019636764,0.00008345048,0.00011902167,0.000753103,0.00038615425,0.00014091287,0.0005063474,0.000020674086,0.000012423214],"category_scores_gemma":[0.000040904157,0.000052015177,0.000024164538,0.006395675,0.00035957719,0.00020535872,0.00036524876,0.0001251772,0.00002448424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008437757,0.000051318373,0.00010573914,0.00015344663,0.000012308768,3.6444138e-7,0.0052082287,0.0048876926,0.0028829777,0.9822404,0.00000755075,0.0044415467],"study_design_scores_gemma":[0.00005901068,0.00004305532,0.0010889524,0.00043171414,0.00003370509,8.239784e-8,0.10729671,0.28054002,0.05085182,0.5562372,0.0032079604,0.00020974032],"about_ca_topic_score_codex":0.00058407633,"about_ca_topic_score_gemma":0.0006322054,"teacher_disagreement_score":0.42600316,"about_ca_system_score_codex":0.00002839016,"about_ca_system_score_gemma":0.000052365267,"threshold_uncertainty_score":0.30729097},"labels":[],"label_agreement":null},{"id":"W4394821742","doi":"10.3390/app14083310","title":"Toxic and Environmental Effects of Neonicotinoid Based Insecticides","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"American University of Sharjah","keywords":"Neonicotinoid; Clothianidin; Thiacloprid; Acetamiprid; Thiamethoxam; Imidacloprid; Toxicology; Agriculture; Pesticide; Biology; Ecology","score_opus":0.012791064645478321,"score_gpt":0.2244526437471573,"score_spread":0.21166157910167896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394821742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556136,0.0010382633,0.0000070225788,0.00016927635,0.00006155978,0.00013092559,0.000004648161,0.00002918991,0.002997748],"genre_scores_gemma":[0.9997085,0.000036929334,0.00008106475,0.000071617236,0.00005651066,0.000011328441,0.0000038062078,4.3229227e-7,0.000029830435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992322,0.000025575871,0.0000903907,0.00021934517,0.00024070819,0.00019178759],"domain_scores_gemma":[0.99914545,0.00076147466,0.000016230542,0.000022320852,0.0000029779874,0.00005153464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028756075,0.00007148934,0.0000858881,0.000022060283,0.00016388594,0.00008019268,0.00014475406,0.000036242924,0.00026386243],"category_scores_gemma":[0.000017131491,0.000025484022,0.000027140202,0.00030128745,0.0003812688,0.00005645476,0.000044606833,0.00006962677,0.000016122192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005008822,0.000019846093,0.0021373506,0.000037609414,0.0000026317075,0.0000029787284,0.000060164606,0.000004559904,0.945192,0.0025555508,0.00003267497,0.049949616],"study_design_scores_gemma":[0.00011660376,0.0007725456,0.1095786,0.00007319019,0.000015506283,0.000008558306,0.00036126297,0.0032043112,0.87927085,0.0047931196,0.0015775902,0.00022787951],"about_ca_topic_score_codex":0.00006899988,"about_ca_topic_score_gemma":0.00003811913,"teacher_disagreement_score":0.10744125,"about_ca_system_score_codex":0.000008085247,"about_ca_system_score_gemma":0.000013937501,"threshold_uncertainty_score":0.28891084},"labels":[],"label_agreement":null},{"id":"W4394821878","doi":"10.3390/app14083320","title":"Synthesis of a Multi-Template Molecular Imprinted Bulk Polymer for the Adsorption of Non-Steroidal Inflammatory and Antiretroviral Drugs","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adsorption; Molecularly imprinted polymer; Chemistry; Chromatography; Freundlich equation; Efavirenz; Aqueous solution; Naproxen; Nuclear chemistry; Human immunodeficiency virus (HIV); Organic chemistry; Antiretroviral therapy; Medicine; Selectivity","score_opus":0.01728010307088443,"score_gpt":0.28364411818350044,"score_spread":0.266364015112616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394821878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701208,0.00040944904,0.027640581,0.00007049688,0.000031490985,0.00010675146,0.000014019485,0.000025432328,0.0015810006],"genre_scores_gemma":[0.9906536,0.000014166189,0.009122379,0.000010998043,0.00001738746,0.000049942042,9.712726e-7,0.00000894712,0.00012166294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989988,0.0000071719373,0.0002845463,0.00028439844,0.00025017204,0.00017490168],"domain_scores_gemma":[0.99912494,0.0005653118,0.00009111111,0.00014863652,0.000028256167,0.00004176023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058598735,0.00011642733,0.00017612123,0.00004211357,0.000059802005,0.000034125176,0.00025453893,0.00006763705,0.00004274956],"category_scores_gemma":[0.000069242546,0.00008038072,0.000066924054,0.00017345036,0.00058769324,0.000041081883,0.00009579497,0.00008093343,0.0000016043034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017812676,0.000011229979,0.00024282862,0.00037051723,0.00004694549,5.4072086e-7,0.00024410871,0.0000064762894,0.99058205,0.00064722414,0.0000025791662,0.007827707],"study_design_scores_gemma":[0.00011419548,0.000009501164,0.00011394852,0.000076099444,0.00004725341,0.0000018187914,0.00042185717,0.014729401,0.9842277,0.00013032857,0.00003300326,0.00009487892],"about_ca_topic_score_codex":0.000013375777,"about_ca_topic_score_gemma":3.954817e-7,"teacher_disagreement_score":0.020532768,"about_ca_system_score_codex":0.000017886374,"about_ca_system_score_gemma":0.00008279993,"threshold_uncertainty_score":0.32778305},"labels":[],"label_agreement":null},{"id":"W4394922947","doi":"10.3390/app14083410","title":"Advances in High–Speed, High–Power Photodiodes: From Fundamentals to Applications","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Computer science; Materials science","score_opus":0.00858571572804371,"score_gpt":0.25229088203229744,"score_spread":0.24370516630425373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394922947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7387485,0.0073780892,0.008573951,0.0003489247,0.0007627767,0.0008142362,0.000099926765,0.00071907,0.24255453],"genre_scores_gemma":[0.9958916,0.00026611,0.0033063816,0.00021341904,0.000057172892,0.0002113691,0.0000072736048,0.000012311886,0.000034373053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989009,0.00000475925,0.00019272059,0.00036884705,0.00023912924,0.00029364834],"domain_scores_gemma":[0.999588,0.00014858575,0.000009266717,0.00015007964,0.0000058185637,0.00009826508],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015813584,0.0001342206,0.00015494859,0.00013324685,0.000079311925,0.00017646141,0.0003484828,0.00004531803,0.00037079284],"category_scores_gemma":[0.0000033516533,0.000112985435,0.0000245134,0.00083869527,0.00013978136,0.00025291505,0.00004821135,0.00011004274,0.0007874106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000185382,0.000108052234,0.00042628124,0.00017663321,0.00004640124,0.000018674216,0.0020575512,0.05656956,0.124914244,0.7371778,0.0015446868,0.0769416],"study_design_scores_gemma":[0.0007440661,0.00016486464,0.0058236877,0.00039195584,0.000050870218,0.00000424764,0.0042776726,0.04916995,0.14171885,0.16070141,0.63509476,0.0018576413],"about_ca_topic_score_codex":0.00007954995,"about_ca_topic_score_gemma":0.00011557273,"teacher_disagreement_score":0.6335501,"about_ca_system_score_codex":0.000059948637,"about_ca_system_score_gemma":0.000024533167,"threshold_uncertainty_score":0.9999906},"labels":[],"label_agreement":null},{"id":"W4394972366","doi":"10.3390/app14083447","title":"Assessing Gender Bias in Auditory-Perceptual Ratings of Tracheoesophageal Speakers","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Regional Health Centre; Western University","funders":"","keywords":"Audiology; Psychology; Cognitive psychology; Medicine","score_opus":0.12002758326652706,"score_gpt":0.3706103396595218,"score_spread":0.2505827563929947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394972366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413553,0.00040403707,0.00015332154,0.00042552248,0.00022517478,0.00014569606,7.3812487e-7,0.000049090566,0.057241146],"genre_scores_gemma":[0.9975708,0.000011764345,0.0018765964,0.00024708768,0.00014644982,0.00000763401,0.0000023034356,0.000008088264,0.00012924739],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987934,0.0000180623,0.00023821568,0.0003031439,0.00041766732,0.00022948887],"domain_scores_gemma":[0.9996706,0.0001264816,0.00003687397,0.000095676805,0.000014938148,0.000055379922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802478,0.00009843695,0.00018846466,0.00021594048,0.00006692031,0.00008556739,0.00011622299,0.00005889118,0.0002037888],"category_scores_gemma":[0.000052867766,0.00007490886,0.000052030617,0.00071319053,0.0004045331,0.00022714643,0.000021445081,0.0001735732,0.000044468747],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008728348,0.0006284695,0.082104854,0.0011687658,0.00012702066,0.0003394104,0.04969045,0.00061407004,0.6250785,0.032621454,0.013093308,0.19444643],"study_design_scores_gemma":[0.003383675,0.00069326005,0.72243714,0.0007577384,0.00025568175,0.00010839495,0.20078187,0.012883411,0.04448059,0.0075713955,0.00560725,0.001039574],"about_ca_topic_score_codex":0.000035371617,"about_ca_topic_score_gemma":0.000022453356,"teacher_disagreement_score":0.6403323,"about_ca_system_score_codex":0.0000308606,"about_ca_system_score_gemma":0.0002588015,"threshold_uncertainty_score":0.30546945},"labels":[],"label_agreement":null},{"id":"W4395673742","doi":"10.3390/app14093669","title":"Pruning Deep Neural Network Models via Minimax Concave Penalty Regression","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hubei Provincial Department of Education; National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Minimax; Artificial neural network; Computer science; Pruning; Regression; Deep neural networks; Artificial intelligence; Mathematics; Mathematical optimization; Statistics; Biology","score_opus":0.0291427606070673,"score_gpt":0.2788633953610094,"score_spread":0.2497206347539421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395673742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057986416,0.0004927145,0.9658212,0.0008276161,0.00023958221,0.00022899496,5.054729e-7,0.00079525553,0.025795484],"genre_scores_gemma":[0.90934134,0.000017360131,0.08990769,0.00033658647,0.000136217,0.000099479235,8.940792e-7,0.000006646223,0.0001537912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984709,0.000022716795,0.00021446917,0.00061084935,0.00033095735,0.000350097],"domain_scores_gemma":[0.9993851,0.000111552654,0.000066763016,0.00031687182,0.000027560814,0.00009216113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005026682,0.00013950714,0.00012427915,0.00009625989,0.00067904906,0.0004965915,0.000958467,0.00005958402,0.000019824585],"category_scores_gemma":[0.0000027728258,0.00010419244,0.000058354388,0.0012901265,0.00022618739,0.00055930635,0.0002801934,0.00016810549,0.000051952346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018806198,0.000013681972,0.00001745162,0.000010440056,0.0000052917553,0.0000052516743,0.00045874377,0.017794184,0.0036644635,0.7870127,0.002115408,0.18890052],"study_design_scores_gemma":[0.000028444738,0.000038762035,0.000037886246,0.00001710972,0.0000034272277,0.000018517288,0.000047175145,0.88915336,0.0026848011,0.10488974,0.002936482,0.00014427239],"about_ca_topic_score_codex":0.000013222716,"about_ca_topic_score_gemma":0.0000050904796,"teacher_disagreement_score":0.9035427,"about_ca_system_score_codex":0.000028912522,"about_ca_system_score_gemma":0.00005635428,"threshold_uncertainty_score":0.52227646},"labels":[],"label_agreement":null},{"id":"W4395676174","doi":"10.3390/app14093699","title":"Product Improvement Using Knowledge Mining and Effect Analogy","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Analogy; Computer science; Ranking (information retrieval); Selection (genetic algorithm); Dimension (graph theory); Data mining; Product design; Product (mathematics); Industrial engineering; Machine learning; Engineering; Mathematics","score_opus":0.027964540392913604,"score_gpt":0.312019620852078,"score_spread":0.2840550804591644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395676174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321723,0.0028492638,0.0012668086,0.00008652616,0.0010207568,0.0001487891,4.2474218e-7,0.00016816703,0.06228696],"genre_scores_gemma":[0.9980489,0.000017138143,0.0016887278,0.000021577132,0.00011250425,0.000012750163,3.3537793e-7,0.0000059281074,0.00009211611],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956626,0.000010704796,0.00006793682,0.00016662915,0.00006325415,0.00012523313],"domain_scores_gemma":[0.9997537,0.00014921643,0.0000067614046,0.000053524,0.0000047433136,0.000032036358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000556982,0.00006192014,0.00005754463,0.00008500642,0.000090135356,0.00013595524,0.00006125109,0.000013388484,0.000028241466],"category_scores_gemma":[0.000013813361,0.0000503552,0.000007810734,0.00033092493,0.00006628281,0.00011941172,0.000014012975,0.000044756332,0.000024535913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028854743,0.000013075187,0.00023561074,0.0002982843,0.000031632928,0.000002169489,0.0033754895,0.0014733265,0.48068914,0.0066462196,0.0031710437,0.5040611],"study_design_scores_gemma":[0.00039225043,0.00035839924,0.0019328367,0.0001701731,0.0001625156,0.000093980634,0.0024218748,0.55067843,0.22621894,0.0014142499,0.2151387,0.0010176334],"about_ca_topic_score_codex":0.000003686643,"about_ca_topic_score_gemma":0.0000034944248,"teacher_disagreement_score":0.5492051,"about_ca_system_score_codex":0.000017739054,"about_ca_system_score_gemma":0.0000368257,"threshold_uncertainty_score":0.20534255},"labels":[],"label_agreement":null},{"id":"W4396896613","doi":"10.3390/app14104085","title":"Enhancing Field Multiplication in IoT Nodes with Limited Resources: A Low-Complexity Systolic Array Solution","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Prince Sattam bin Abdulaziz University","keywords":"Computer science; Cryptography; Multiplier (economics); Distributed computing; Multiplication (music); Internet of Things; Field-programmable gate array; Embedded system; Computer security; Mathematics","score_opus":0.023769059919736137,"score_gpt":0.24822382730306583,"score_spread":0.2244547673833297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396896613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5151038,0.00013743012,0.4793574,0.00066392473,0.00009376747,0.00016562817,4.5459808e-7,0.0002746263,0.0042029647],"genre_scores_gemma":[0.97436905,0.000003648484,0.025292467,0.00022050172,0.000043173928,0.000055287477,5.8036454e-7,0.000004076335,0.000011241151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986098,0.000049726234,0.00018635146,0.000566156,0.00029149427,0.0002964818],"domain_scores_gemma":[0.99925274,0.00032835905,0.00004944677,0.0002994494,0.000019336512,0.000050646235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091508037,0.00012149884,0.00011989616,0.00033911946,0.00030901143,0.0003872832,0.00073290226,0.00004770938,0.0000070170568],"category_scores_gemma":[0.000022998525,0.00009347057,0.000035067136,0.0021638402,0.0002537524,0.00024873664,0.000080831065,0.00015043175,0.000025655065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036100777,0.00008306345,0.0007473109,0.0001320626,0.000010187417,0.000006821585,0.008750541,0.0005125823,0.2061995,0.74787855,0.000039919225,0.035603352],"study_design_scores_gemma":[0.0010200824,0.0007575186,0.016021179,0.0019727855,0.000034451146,0.00007155555,0.0027698039,0.2764994,0.42512617,0.27100855,0.0029846816,0.0017338468],"about_ca_topic_score_codex":0.00007733965,"about_ca_topic_score_gemma":0.00024822904,"teacher_disagreement_score":0.47687,"about_ca_system_score_codex":0.00003061116,"about_ca_system_score_gemma":0.000059635946,"threshold_uncertainty_score":0.38116193},"labels":[],"label_agreement":null},{"id":"W4396896820","doi":"10.3390/app14104067","title":"The Montreal Experience: Impact of Different Orthokeratology Lens Designs on Corneal Treatment Zone Characteristics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Orthokeratology; Optometry; Lens (geology); Ophthalmology; Optics; Medicine; Cornea; Physics","score_opus":0.08254206528526048,"score_gpt":0.39568840247806536,"score_spread":0.3131463371928049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396896820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528044,0.00024406776,0.000030274206,0.00032220135,0.00023819068,0.00030728136,0.000010033567,0.000036405338,0.0035310907],"genre_scores_gemma":[0.9991305,0.0002753499,0.000022348308,0.000044650827,0.00007257347,0.00007892513,0.0000045479833,0.0000056736467,0.00036544492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899167,0.00003249555,0.00021439513,0.0002745077,0.00018850948,0.0002984206],"domain_scores_gemma":[0.9992979,0.00042002802,0.0000542263,0.00014800981,0.000020458358,0.000059339953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001561713,0.00016362812,0.00030143437,0.00006522513,0.0003838003,0.000029500614,0.000097818294,0.000054780296,0.000048232596],"category_scores_gemma":[0.000020992024,0.0000725454,0.00010146297,0.00018928433,0.0009953948,0.000029475028,0.000030137007,0.00008803515,0.000023283696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002437015,0.003216848,0.83032656,0.00011088548,0.0011593873,0.00034210866,0.01783675,0.000020816307,0.036494773,0.04550702,0.0016139053,0.060933914],"study_design_scores_gemma":[0.0006160436,0.015504953,0.97471166,0.000060306545,0.00012285124,0.00012246166,0.0014962466,0.0006273391,0.0060704215,0.00034344292,0.00017505576,0.00014924453],"about_ca_topic_score_codex":0.000060122555,"about_ca_topic_score_gemma":0.000013057401,"teacher_disagreement_score":0.14438505,"about_ca_system_score_codex":0.0000716225,"about_ca_system_score_gemma":0.00011728613,"threshold_uncertainty_score":0.36675733},"labels":[],"label_agreement":null},{"id":"W4396919421","doi":"10.3390/app14104185","title":"Analysis and Applications of the Two Phases Closed Thermosyphon Technology in the Highways in Permafrost Regions: A Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Thermosiphon; Environmental science; Engineering; Geology; Mechanical engineering; Oceanography; Heat exchanger","score_opus":0.06805319708816401,"score_gpt":0.3349401326297804,"score_spread":0.26688693554161635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396919421","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013810347,0.992454,0.0000020107216,0.00075837853,0.000046221005,0.0013835549,0.001592782,0.000019504287,0.0036054314],"genre_scores_gemma":[0.0050268034,0.99400425,0.000011753103,0.00029446694,0.000043148782,0.00017631934,0.00042353134,0.0000036561578,0.000016095988],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815327,0.00014690496,0.0005646841,0.00052822084,0.00032719967,0.0002797295],"domain_scores_gemma":[0.99871916,0.00048194116,0.0002677528,0.0004898052,0.000013694477,0.000027671376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012720226,0.00025199307,0.0009112543,0.0006883097,0.00019772965,0.000076093966,0.001217724,0.00011820343,0.00019293545],"category_scores_gemma":[0.000023845663,0.00011294825,0.00020996657,0.009905639,0.00088080607,0.000053268537,0.00006751681,0.0003680646,0.00003238397],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022465076,0.000052192714,0.010262026,0.008933962,0.00009819187,0.000008408176,0.0006556144,0.000008276572,0.000004797819,0.0049776114,0.0006853762,0.9743113],"study_design_scores_gemma":[0.00017826202,0.000049869424,0.0028792066,0.013385095,0.0032562856,0.000067801804,0.0015083146,0.00016758012,0.0000024392536,0.0051882705,0.9727694,0.00054748054],"about_ca_topic_score_codex":0.0010220704,"about_ca_topic_score_gemma":0.028303951,"teacher_disagreement_score":0.9737638,"about_ca_system_score_codex":0.000007657159,"about_ca_system_score_gemma":0.00014037832,"threshold_uncertainty_score":0.989427},"labels":[],"label_agreement":null},{"id":"W4397002069","doi":"10.3390/app14104266","title":"Practical Estimation of Machine Tool Spindle Dynamics for Maintenance Decision Making","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Estimation; Dynamics (music); Engineering; Systems engineering; Psychology","score_opus":0.014440731616833787,"score_gpt":0.320325387161728,"score_spread":0.3058846555448942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397002069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004473574,0.00015525841,0.992699,0.000063627536,0.00020805864,0.0001388982,0.00000895786,0.00013226102,0.0021203144],"genre_scores_gemma":[0.59683764,0.000015144214,0.40309733,0.000007742956,0.000011593583,0.000013640267,0.0000040365203,0.0000064635483,0.0000064214933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994532,0.0000014309785,0.00014962025,0.00014614605,0.00012742162,0.000122184],"domain_scores_gemma":[0.99965876,0.0002293974,0.000024896897,0.0000574419,0.000017485007,0.000012030991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022978144,0.000066008346,0.00007765082,0.00006347602,0.000072615556,0.00005885094,0.0000797129,0.000029499994,0.0000071959557],"category_scores_gemma":[0.00009309294,0.00005441823,0.0000190843,0.00028815243,0.000054778102,0.00020943793,0.000015702633,0.00005486991,0.0000030817187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006135471,0.0000033603687,0.000004746714,0.00009252299,0.0000023455138,2.4704124e-7,0.0000388369,0.72841835,0.00009440406,0.10148415,0.00007554949,0.16977933],"study_design_scores_gemma":[0.00005278815,0.000023427743,0.000019183979,0.00010014667,0.0000066634543,0.0000031957832,0.000037065027,0.97568023,0.00048660237,0.023315543,0.0002054931,0.00006965252],"about_ca_topic_score_codex":5.516421e-7,"about_ca_topic_score_gemma":0.000005135056,"teacher_disagreement_score":0.5923641,"about_ca_system_score_codex":0.000030961477,"about_ca_system_score_gemma":0.00002544996,"threshold_uncertainty_score":0.2219111},"labels":[],"label_agreement":null},{"id":"W4398140937","doi":"10.3390/app14104307","title":"A Comprehensive Review of Plant-Based Biopolymers as Viscosity-Modifying Admixtures in Cement-Based Materials","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Materials science; Cement; Composite material","score_opus":0.09324387390095552,"score_gpt":0.4026438416280542,"score_spread":0.3093999677270987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398140937","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014830452,0.9954692,0.000045526842,0.00010274971,0.00043503975,0.0022348645,0.00060396263,0.000090085305,0.0008702811],"genre_scores_gemma":[0.00051925494,0.9969689,0.0011843719,0.00032723372,0.00007076156,0.0007354735,0.00012829748,0.000044073455,0.000021596832],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944821,0.00042127908,0.0014089163,0.0013145299,0.0014364257,0.00093675265],"domain_scores_gemma":[0.9975326,0.0008965033,0.00077432976,0.00056295056,0.00008230374,0.00015132013],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001971561,0.0007323137,0.0029005317,0.00077766983,0.000279281,0.00017219536,0.0014264651,0.00017962696,0.0004738179],"category_scores_gemma":[0.00017399521,0.0004976246,0.0003028712,0.0018471574,0.0015845839,0.00012079144,0.0004791626,0.0003415947,0.0003980704],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005744965,0.00021053465,5.054474e-7,0.8446793,0.000096822514,0.00014562532,0.000099465986,0.00007015606,0.0761603,0.003278407,0.0012402582,0.07396118],"study_design_scores_gemma":[0.00047193572,0.0002784747,3.094742e-7,0.30880502,0.0006897353,0.00001068153,0.00022793694,0.000021201377,0.10445065,0.000394654,0.58338284,0.0012665518],"about_ca_topic_score_codex":0.000117242635,"about_ca_topic_score_gemma":0.000010967955,"teacher_disagreement_score":0.5821426,"about_ca_system_score_codex":0.00020054399,"about_ca_system_score_gemma":0.0016189474,"threshold_uncertainty_score":0.9997475},"labels":[],"label_agreement":null},{"id":"W4398783943","doi":"10.3390/app14114507","title":"Kalman Filter Using a Third-Order Tensorial Decomposition of the Impulse Response","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Kalman filter; Tensor decomposition; Infinite impulse response; Computer science; Impulse response; Algorithm; Control theory (sociology); Invariant extended Kalman filter; Mathematics; Extended Kalman filter; Filter (signal processing); Digital filter; Tensor (intrinsic definition); Artificial intelligence; Computer vision","score_opus":0.02223739571201783,"score_gpt":0.29282224769862536,"score_spread":0.27058485198660753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398783943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9333634,0.00011456194,0.062116507,0.00007026804,0.0006024334,0.00020138189,0.0000096169615,0.00048637344,0.0030354587],"genre_scores_gemma":[0.9642503,0.0000035882176,0.03559129,0.000022065153,0.00008401137,0.00001326388,3.3230629e-7,0.000013317599,0.000021800215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993089,0.00002246114,0.00014413965,0.00017248963,0.00018887293,0.00016316997],"domain_scores_gemma":[0.9996683,0.00011528705,0.000019653637,0.00015961686,0.000017466464,0.000019680738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035855742,0.00009724984,0.00009092866,0.00009048175,0.00010879989,0.000047018046,0.00025909382,0.00003850601,0.000015134902],"category_scores_gemma":[0.000020051675,0.00006675316,0.000037769852,0.0005140491,0.00023265486,0.00012516128,0.00007299341,0.00010676656,0.0000059600407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002453672,0.0000038712806,0.000010909553,0.000019865596,0.0000068157146,0.0000013189806,0.0002506234,0.024514882,0.9687867,0.0051311646,0.00021466313,0.001034653],"study_design_scores_gemma":[0.00010965539,0.000060730163,0.00082963536,0.00018628719,0.000018458843,0.000019699837,0.00012724948,0.1556272,0.8251177,0.013992842,0.0036421153,0.00026843697],"about_ca_topic_score_codex":0.000005073623,"about_ca_topic_score_gemma":0.0000019045997,"teacher_disagreement_score":0.14366901,"about_ca_system_score_codex":0.000046275196,"about_ca_system_score_gemma":0.000031716492,"threshold_uncertainty_score":0.2722115},"labels":[],"label_agreement":null},{"id":"W4398784020","doi":"10.3390/app14114511","title":"Progressive Damage Simulation of Wood Veneer Laminates and Their Uncertainty Using Finite Element Analysis Informed by Genetic Algorithms","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"German Academic Exchange Service London","keywords":"Veneer; Finite element method; Computer science; Structural engineering; Algorithm; Materials science; Composite material; Engineering","score_opus":0.01225144716542659,"score_gpt":0.2631245609141753,"score_spread":0.2508731137487487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398784020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989997,0.00085078704,0.008794875,0.0000085109905,0.000048968486,0.00011378435,0.000024543167,0.000057329973,0.0001041737],"genre_scores_gemma":[0.99749386,0.000014171889,0.002432379,0.000004892125,0.000021056872,0.000008225053,0.000017125962,0.0000055979995,0.000002706535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992617,0.000009960479,0.00023223294,0.00016798468,0.00017533549,0.00015280244],"domain_scores_gemma":[0.99965066,0.00016390313,0.000046363246,0.000086030916,0.00002289555,0.000030132534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014222293,0.00011908763,0.00020229277,0.00021930691,0.00006999295,0.0001558738,0.00013150387,0.000029528996,0.00003892934],"category_scores_gemma":[0.000007174912,0.00008311923,0.000043428452,0.0008628058,0.00013312655,0.0001058999,0.000039581166,0.00003127338,0.0000010241206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013409726,0.0000017056902,0.0001078889,0.00004101701,0.00017650348,4.827306e-7,0.00039928948,0.91413546,0.080609284,0.00004081272,0.000003555025,0.0044826353],"study_design_scores_gemma":[0.000042477604,0.000014112924,0.0007248974,0.000016114063,0.00013839813,3.5547814e-7,0.0001817318,0.93744504,0.060939264,0.00035213336,0.000045289922,0.00010020297],"about_ca_topic_score_codex":0.000014755036,"about_ca_topic_score_gemma":0.0000040043733,"teacher_disagreement_score":0.02330954,"about_ca_system_score_codex":0.000026574771,"about_ca_system_score_gemma":0.0000142262925,"threshold_uncertainty_score":0.3389504},"labels":[],"label_agreement":null},{"id":"W4399042416","doi":"10.3390/app14114552","title":"Application of Natural Edible Coating to Enhance the Shelf Life of Red Fruits and Their Bioactive Content","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Shelf life; Food science; Chemistry","score_opus":0.044576368427917894,"score_gpt":0.29859634132442153,"score_spread":0.25401997289650363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399042416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98769945,0.00062509306,0.00043160433,0.009290059,0.000028021372,0.00046966568,0.00002809915,0.000024675575,0.0014033512],"genre_scores_gemma":[0.9994448,0.000037509133,0.00018909031,0.00015309552,0.00005511556,0.00009138066,0.0000027606945,4.313846e-7,0.00002585885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991745,0.000020246143,0.00016847902,0.00025843957,0.00021589195,0.00016247363],"domain_scores_gemma":[0.99901175,0.0007493018,0.00005423092,0.000051249834,0.000057020534,0.00007642999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005109456,0.00006678809,0.00010626582,0.000010766441,0.00020529311,0.000053856405,0.00032668092,0.000026130336,0.00001317646],"category_scores_gemma":[0.00011007538,0.000019490168,0.000030218664,0.0008217094,0.00040286273,0.000058801845,0.00010279687,0.00008644303,0.000006023392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006223767,0.000011951845,0.00007756006,0.000005163069,0.000004601571,1.5212716e-8,0.0001035256,0.0000021505582,0.86982304,0.0128496885,0.00008250275,0.11703359],"study_design_scores_gemma":[0.000033607386,0.0002041615,0.02726237,0.000035693247,0.0000068010722,7.7812234e-7,0.0036307594,0.0021130778,0.9561772,0.0067123957,0.003700243,0.00012294887],"about_ca_topic_score_codex":0.00017600758,"about_ca_topic_score_gemma":0.00013392525,"teacher_disagreement_score":0.116910644,"about_ca_system_score_codex":0.000006435266,"about_ca_system_score_gemma":0.000018792438,"threshold_uncertainty_score":0.15789694},"labels":[],"label_agreement":null},{"id":"W4399042459","doi":"10.3390/app14114539","title":"Integrating Modular Design Concepts for Enhanced Efficiency in Digital and Sustainable Manufacturing: A Literature Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Modular design; Computer science; Manufacturing engineering; Systems engineering; Engineering; Programming language","score_opus":0.024286562232812694,"score_gpt":0.29011725550641515,"score_spread":0.2658306932736025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399042459","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016350756,0.9901897,0.0026744578,0.00006544955,0.00014874649,0.0025663064,0.0000023338725,0.00007717588,0.0042595053],"genre_scores_gemma":[0.0011132383,0.9964391,0.00062327046,0.00020987545,0.00027229855,0.000578659,0.00007968762,0.000027876938,0.00065598224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805444,0.000008509099,0.00048076888,0.0007539871,0.00023764605,0.0004646679],"domain_scores_gemma":[0.9994273,0.00007608705,0.00027590507,0.00013782368,0.00007091948,0.000011951975],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0015037227,0.00037007444,0.0007581904,0.0004719875,0.00027468748,0.0016765529,0.00040992405,0.00011344284,0.0000075141247],"category_scores_gemma":[0.00022557963,0.00024899063,0.00009628321,0.0016047669,0.0001251118,0.0010142339,0.00023401211,0.00020687396,0.000029772451],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004593447,0.000021654474,4.0101725e-7,0.13731682,0.000017466431,0.0000091140955,0.00014010484,0.000009979921,0.0000034954608,0.042795982,0.0018312297,0.81784916],"study_design_scores_gemma":[0.00011522849,0.00001119016,1.9831141e-7,0.051394317,0.00021989529,0.0000032008143,0.0002656274,0.00020456883,0.000025587808,0.00914331,0.9380614,0.00055543263],"about_ca_topic_score_codex":0.000002029834,"about_ca_topic_score_gemma":7.821717e-7,"teacher_disagreement_score":0.93623024,"about_ca_system_score_codex":0.00005337368,"about_ca_system_score_gemma":0.00014932497,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W4399055438","doi":"10.3390/app14114580","title":"Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fuzhou University","keywords":"Automotive engineering; Psychology; Computer science; Human–computer interaction; Applied psychology; Engineering","score_opus":0.0997968092015148,"score_gpt":0.42157309878312066,"score_spread":0.32177628958160587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399055438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97289103,0.0004794961,0.0063694404,0.000275786,0.0009953728,0.0006302697,0.000019220352,0.00020189468,0.018137468],"genre_scores_gemma":[0.9898538,0.0000021911578,0.009663135,0.00012882934,0.00007769678,0.00014664639,0.0000064950277,0.000018318377,0.00010286255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982376,0.000032703563,0.00036740268,0.0005564932,0.00040336172,0.0004024317],"domain_scores_gemma":[0.9987928,0.0007401323,0.000118711556,0.0002294137,0.000054415817,0.00006451985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094615656,0.00016989553,0.00022149165,0.00016594747,0.00025604575,0.000090770416,0.0004896459,0.0001191268,0.00045276777],"category_scores_gemma":[0.000076435594,0.0001406887,0.00009126914,0.0010325854,0.00045220085,0.00014853838,0.000044250384,0.00015935485,0.00010321223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009784073,0.00038922348,0.003626594,0.0001541341,0.00047041767,0.0000051842653,0.031351086,0.0035061808,0.12829024,0.32630688,0.0021558816,0.5036463],"study_design_scores_gemma":[0.004036603,0.00077708403,0.008759784,0.001016069,0.00046036002,0.0000073939805,0.022948232,0.9495009,0.009935011,0.0009739333,0.0005299205,0.0010546971],"about_ca_topic_score_codex":0.000046597863,"about_ca_topic_score_gemma":0.000019801675,"teacher_disagreement_score":0.94599473,"about_ca_system_score_codex":0.000039200353,"about_ca_system_score_gemma":0.00010259136,"threshold_uncertainty_score":0.5737119},"labels":[],"label_agreement":null},{"id":"W4399288972","doi":"10.3390/app14114837","title":"Whole-Genome Alignment: Methods, Challenges, and Future Directions","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Computational biology; Computer science; Biology","score_opus":0.025082464467123353,"score_gpt":0.2890784614231944,"score_spread":0.263995996956071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399288972","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19680609,0.71380514,0.00052564184,0.0047336207,0.0010379682,0.00028941888,0.000041307223,0.000028365745,0.08273245],"genre_scores_gemma":[0.9234243,0.06505526,0.010003901,0.00018713222,0.00089415465,0.000053839693,0.00000942589,0.000011974967,0.00035999203],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930537,0.000019752137,0.00007981255,0.00037233188,0.00006800937,0.00015472574],"domain_scores_gemma":[0.9998088,0.000016198339,0.00001417807,0.00010943877,0.000008829358,0.000042593754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032558988,0.00009279239,0.00007724745,0.000034681463,0.00018577944,0.000049395687,0.00010985729,0.00005024889,0.0000049448186],"category_scores_gemma":[0.0000033402773,0.000073631454,0.000026942873,0.00008703313,0.0001867216,6.971613e-7,0.00010206164,0.000036062287,0.000007079179],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019993663,0.0000073880656,0.0000068092722,0.000013004707,0.00003730837,4.348342e-7,0.00046532482,0.0000037718335,0.8386548,0.015646774,0.00014335982,0.14501904],"study_design_scores_gemma":[0.000043655495,0.00006265491,0.0015392022,0.0000022535608,0.000012217556,0.000007480317,0.0008366565,0.00001156729,0.009691702,0.0025384193,0.9851415,0.00011268843],"about_ca_topic_score_codex":0.0000024807855,"about_ca_topic_score_gemma":0.000009969438,"teacher_disagreement_score":0.98499817,"about_ca_system_score_codex":0.0000036738506,"about_ca_system_score_gemma":0.000026238218,"threshold_uncertainty_score":0.30026037},"labels":[],"label_agreement":null},{"id":"W4399388674","doi":"10.3390/app14114930","title":"Examining Memory Performance in Senior Adults: A Comparative Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Medicine","score_opus":0.08045412430422469,"score_gpt":0.39383066281205675,"score_spread":0.3133765385078321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399388674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93739223,0.00008926021,0.000015979009,0.000028270166,0.00010677981,0.00062445627,0.0000013851743,0.000046841473,0.06169481],"genre_scores_gemma":[0.99892616,0.000005327979,0.00010134908,0.000054991742,0.000077157616,0.00016480395,0.0000029793116,0.000003924543,0.00066330645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984648,0.000026221955,0.0001968399,0.00040252763,0.0006481026,0.00026150155],"domain_scores_gemma":[0.99968964,0.00011774523,0.000017595132,0.000071152586,0.000043945893,0.00005994182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011556961,0.000089541994,0.0001330772,0.00025161394,0.0001729168,0.00016173412,0.000111149246,0.000022769169,0.00026284702],"category_scores_gemma":[0.000013403021,0.00006561597,0.0000191786,0.0007903529,0.00034100818,0.00016986096,0.000060049995,0.00019226337,0.00018073789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011833927,0.00020865645,0.9918577,0.000047252168,0.000017085144,0.000029336858,0.002741269,0.00001779837,0.0011661963,0.000095900294,0.000024037789,0.0036763933],"study_design_scores_gemma":[0.00085089356,0.0008228572,0.9822359,0.00006572589,0.000006620208,0.000013582345,0.011330354,0.002433583,0.0020666155,0.000022200502,0.00007684867,0.00007480561],"about_ca_topic_score_codex":0.000022948838,"about_ca_topic_score_gemma":0.000029735633,"teacher_disagreement_score":0.06153394,"about_ca_system_score_codex":0.000048420647,"about_ca_system_score_gemma":0.000175572,"threshold_uncertainty_score":0.28779906},"labels":[],"label_agreement":null},{"id":"W4399489418","doi":"10.3390/app14125050","title":"Combining Transformer, Convolutional Neural Network, and Long Short-Term Memory Architectures: A Novel Ensemble Learning Technique That Leverages Multi-Acoustic Features for Speech Emotion Recognition in Distance Education Classrooms","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Speech recognition; Spectrogram; Deep learning; Convolutional neural network; Artificial intelligence; Transformer; Mel-frequency cepstrum; Feature extraction; Multimedia; Engineering","score_opus":0.05644224838648238,"score_gpt":0.32829145001565946,"score_spread":0.2718492016291771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399489418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5872576,0.0010056591,0.40479067,0.00021092684,0.0011129961,0.0013673862,0.000019517438,0.00017851887,0.0040567243],"genre_scores_gemma":[0.99365646,0.000044734035,0.0048798714,0.00014005849,0.00018396134,0.0005327972,0.0001404689,0.00001990723,0.00040172608],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99856794,0.00006890985,0.00024358812,0.0005624403,0.00019380778,0.00036330355],"domain_scores_gemma":[0.9994854,0.00028578052,0.00006212229,0.0000690809,0.000036202986,0.000061448074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007289997,0.00018638988,0.00017178108,0.0002580545,0.00034185476,0.00014269742,0.000102580365,0.00015313154,0.00003706883],"category_scores_gemma":[0.0000231536,0.00017314531,0.00005614897,0.00036179848,0.0002578877,0.00014750235,0.0000121898875,0.00038679017,0.000004784343],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020009361,0.0003919826,0.0040056366,0.00037140556,0.000045417248,0.0000075496146,0.005882046,0.004248184,0.093555965,0.004043584,0.00027815058,0.88697],"study_design_scores_gemma":[0.010874705,0.0028241293,0.66603345,0.0067726555,0.00066993944,0.0032138356,0.056401763,0.12975019,0.056343243,0.059575062,0.0020868874,0.005454135],"about_ca_topic_score_codex":0.000029314933,"about_ca_topic_score_gemma":0.0004666452,"teacher_disagreement_score":0.88151586,"about_ca_system_score_codex":0.000054166758,"about_ca_system_score_gemma":0.00008655162,"threshold_uncertainty_score":0.7060661},"labels":[],"label_agreement":null},{"id":"W4399529996","doi":"10.3390/app14125081","title":"Microbial Biopolymers: From Production to Environmental Applications—A Review","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Institut national de la recherche scientifique","keywords":"Biopolymer; Biochemical engineering; Environmentally friendly; Bioremediation; Environmental science; Sewage treatment; Environmental engineering; Waste management; Engineering; Chemistry; Ecology; Biology; Polymer","score_opus":0.008743651019528757,"score_gpt":0.24825805373288698,"score_spread":0.23951440271335822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399529996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118681,0.050065197,0.013699994,0.015278229,0.0018403468,0.002234052,0.00012048238,0.00018113214,0.004712458],"genre_scores_gemma":[0.9925778,0.002697224,0.0010847382,0.0016346017,0.0008500953,0.00016427955,0.00028050595,0.000008951243,0.0007018189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926555,0.000009669424,0.000102477665,0.00043735735,0.00009361138,0.00009131605],"domain_scores_gemma":[0.9997932,0.0000020386944,0.000019976524,0.00014502677,0.0000047098542,0.000035071887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012798313,0.0000687057,0.00005218761,0.00003062965,0.00010025832,0.000041163006,0.00011677188,0.00002923483,0.00008818797],"category_scores_gemma":[0.0000057023594,0.00006124122,0.000022246279,0.00019275035,0.00008508609,0.000005609103,0.00004135629,0.000029667619,0.00022944008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026950952,0.000012574474,0.000021113496,0.000022518487,0.000004836702,5.0419274e-8,0.000020680049,0.0000030442427,0.9771393,0.0001426514,0.0057035703,0.016926983],"study_design_scores_gemma":[0.000014789197,0.000016905158,0.000081247614,0.000029132365,0.000007549142,0.0000025212046,0.000034134227,0.0000019229483,0.65876764,0.000036974317,0.34093288,0.000074344345],"about_ca_topic_score_codex":0.0000023717034,"about_ca_topic_score_gemma":0.0000015702688,"teacher_disagreement_score":0.3352293,"about_ca_system_score_codex":0.000008575744,"about_ca_system_score_gemma":0.00002503514,"threshold_uncertainty_score":0.29490647},"labels":[],"label_agreement":null},{"id":"W4399530896","doi":"10.3390/app14125073","title":"Comparative Analysis of MoCA and DigiMoCA Test Results: A Pilot Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Verbal fluency test; Fluency; Psychology; Cognitive impairment; Memory span; Depressive symptoms; Test (biology); Clinical psychology; Effects of sleep deprivation on cognitive performance; Audiology; Medicine; Psychiatry; Working memory; Neuropsychology","score_opus":0.07222767426511406,"score_gpt":0.3945883414987711,"score_spread":0.32236066723365703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399530896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89802957,0.00018117964,0.000047308862,0.00025820945,0.0000136894705,0.00042415436,0.000025175896,0.000026012207,0.1009947],"genre_scores_gemma":[0.9992823,0.000015106915,0.00009344153,0.000046436515,0.000013840347,0.000035970203,0.000007858211,0.0000018548109,0.00050318823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878174,0.000020832003,0.0001954964,0.00033779137,0.00050276174,0.00016139295],"domain_scores_gemma":[0.99934953,0.00039692665,0.000028747454,0.00009946975,0.000054410833,0.00007088758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076358736,0.00007640139,0.0002613272,0.0004397448,0.00009836631,0.00008388621,0.000085811706,0.000008416653,0.000058889702],"category_scores_gemma":[0.000047506877,0.000050545696,0.000027747044,0.002325896,0.0004805931,0.00006335415,0.00006222329,0.00007384776,0.000015990598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013879265,0.00668533,0.8651992,0.00019586139,0.0043361965,0.00011820348,0.015393022,0.00004052004,0.079635255,0.007516213,0.0021719679,0.017320301],"study_design_scores_gemma":[0.0010717697,0.010190004,0.9635612,0.000040518597,0.001344629,0.0000027871467,0.01386118,0.0037522174,0.005409307,0.00024085407,0.00041254857,0.000113015674],"about_ca_topic_score_codex":0.00004080974,"about_ca_topic_score_gemma":0.00006035824,"teacher_disagreement_score":0.10125273,"about_ca_system_score_codex":0.000010796112,"about_ca_system_score_gemma":0.000089141526,"threshold_uncertainty_score":0.20611937},"labels":[],"label_agreement":null},{"id":"W4399584695","doi":"10.3390/app14125096","title":"Advancing Insights into Runway De-Icing: Combining Infrared Thermography and Raman Spectroscopy to Assess Ice Melt","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Runway; Icing; Environmental science; Brine; Thermography; Materials science; Sublimation (psychology); Atmospheric sciences; Nuclear engineering; Meteorology; Infrared; Chemistry; Engineering; Geology; Geography","score_opus":0.01012639467793621,"score_gpt":0.2531315616922095,"score_spread":0.2430051670142733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399584695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97925144,0.00006725196,0.0023712174,0.0001535004,0.00050964183,0.00021775503,5.1963065e-7,0.0001452553,0.017283395],"genre_scores_gemma":[0.98260534,0.000013108208,0.017043527,0.00022191646,0.00005676737,0.00003618818,8.282535e-7,0.000011407901,0.000010904912],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860466,0.000033818942,0.00017815255,0.00051069685,0.00033270125,0.00034000067],"domain_scores_gemma":[0.9995465,0.0001287955,0.000040784496,0.00014341992,0.000003505967,0.00013698566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006016525,0.00014521886,0.00013861302,0.0001473041,0.0004756093,0.00037812343,0.00027464677,0.000045784822,0.00013478474],"category_scores_gemma":[0.000025033258,0.00012163607,0.00002418699,0.00092007266,0.00050132273,0.00039011933,0.00021463957,0.000092186085,0.00010422677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000079216525,0.000008609422,0.021501094,0.000014182993,0.000005988599,0.00000363913,0.0035153306,0.00023572712,0.96563745,0.0057602217,0.00025897578,0.0030508551],"study_design_scores_gemma":[0.000304967,0.0002727521,0.09834851,0.00013100408,0.00003744821,0.00003754239,0.003959887,0.0033097898,0.81187916,0.067684375,0.013325024,0.0007095211],"about_ca_topic_score_codex":0.0002340977,"about_ca_topic_score_gemma":0.00019765044,"teacher_disagreement_score":0.15375827,"about_ca_system_score_codex":0.00009542334,"about_ca_system_score_gemma":0.000028735809,"threshold_uncertainty_score":0.4960175},"labels":[],"label_agreement":null},{"id":"W4399624640","doi":"10.3390/app14125137","title":"AI-Enhanced Prediction of Peak Rate of Torque Development from Accelerometer Signals","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Accelerometer; Artificial neural network; Computer science; Isometric exercise; Torque; Artificial intelligence; Machine learning; Medicine; Physical therapy; Physics","score_opus":0.044880446524364286,"score_gpt":0.29546842623382114,"score_spread":0.25058797970945684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399624640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99183327,0.00013858311,0.0006275234,0.000084258914,0.00017050053,0.0001388963,0.0000046395926,0.000038238504,0.0069640693],"genre_scores_gemma":[0.99792755,0.000019806645,0.0017040386,0.00015720616,0.00006858093,0.00001901383,0.000012829781,0.0000047559147,0.00008622476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915004,0.0000024884941,0.0002746721,0.00020869353,0.00023692485,0.00012718086],"domain_scores_gemma":[0.9997515,0.00003733493,0.00005740549,0.00008467777,0.000032891825,0.000036180576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188139,0.00007201251,0.00017523557,0.00013544135,0.00004789814,0.00001585736,0.00008322861,0.000035674417,0.0002753789],"category_scores_gemma":[0.0000049651244,0.000051765164,0.000029660723,0.00038633822,0.0001690077,0.00012220748,0.00002103054,0.00006869592,0.000016823737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004637572,0.000045794266,0.006265049,0.00011844853,0.00006934083,0.0000030490742,0.005626025,0.00006292615,0.96116865,0.00054802373,0.0002422206,0.025804114],"study_design_scores_gemma":[0.00023997972,0.00011471632,0.11777007,0.0002381975,0.000031668016,0.0000010915801,0.0008776208,0.00046302855,0.87899077,0.00034805102,0.00086647156,0.000058309888],"about_ca_topic_score_codex":0.000018364975,"about_ca_topic_score_gemma":0.000003172556,"teacher_disagreement_score":0.111505024,"about_ca_system_score_codex":0.0000141544615,"about_ca_system_score_gemma":0.00022013392,"threshold_uncertainty_score":0.3015206},"labels":[],"label_agreement":null},{"id":"W4399736032","doi":"10.3390/app14125209","title":"Machine Learning-Based Classification of Rock Bursts in an Active Coal Mine Dominated by Non-Destructive Tremors","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Ministerstwo Edukacji i Nauki","keywords":"Naive Bayes classifier; Geology; Mining engineering; Artificial intelligence; Coal mining; Classifier (UML); Rock burst; Coal; Machine learning; Support vector machine; Computer science; Engineering","score_opus":0.014258750592997057,"score_gpt":0.24628467047648003,"score_spread":0.23202591988348298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399736032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642335,0.00012444332,0.034262814,0.00002742708,0.00010709425,0.00013974024,0.000010303543,0.00008403356,0.001010618],"genre_scores_gemma":[0.9995234,0.000009866967,0.0003751991,0.000004855009,0.000014802174,0.000021057731,0.000024412464,0.000013060843,0.000013336707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992401,0.000011508779,0.00016505364,0.00024495606,0.00017176227,0.00016659626],"domain_scores_gemma":[0.9997889,0.000049418974,0.00002910138,0.000073702045,0.00001785084,0.000041062096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020198978,0.00010585933,0.0001301912,0.00018067587,0.000062149404,0.000035702,0.00015268406,0.000054719127,0.000009097934],"category_scores_gemma":[0.000006542417,0.000095616684,0.000020014537,0.00046980992,0.000031550357,0.00012722051,0.000012097236,0.00015040346,0.0000039626666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013853903,0.000015992679,0.000049093083,0.000023964303,0.0000046839777,7.928063e-7,0.0005065944,0.5370052,0.45752397,0.0005469894,0.0000144732385,0.0042944206],"study_design_scores_gemma":[0.00015732326,0.000056440116,0.00020304066,0.000024566214,0.000005208451,4.2517016e-7,0.00046386762,0.8664164,0.13215134,0.0003917818,0.000033747718,0.00009584524],"about_ca_topic_score_codex":0.000041909912,"about_ca_topic_score_gemma":0.000052819745,"teacher_disagreement_score":0.32941127,"about_ca_system_score_codex":0.00004995486,"about_ca_system_score_gemma":0.000038778162,"threshold_uncertainty_score":0.38991353},"labels":[],"label_agreement":null},{"id":"W4399802442","doi":"10.3390/app14125301","title":"AtomGID: An Atomic Gesture Identifier for Qualitative Spatial Reasoning","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Identifier; Gesture; Artificial intelligence; Programming language","score_opus":0.04742960477213524,"score_gpt":0.36757281114696433,"score_spread":0.32014320637482907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399802442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26004666,0.000569854,0.7316905,0.0010763247,0.0011605379,0.00028835723,0.000003940601,0.00046587083,0.0046979594],"genre_scores_gemma":[0.9362364,0.00000481271,0.06314588,0.00021053835,0.00014378087,0.000060709088,0.0000020699058,0.0000056112353,0.00019019388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841905,0.000050122206,0.00017857323,0.00067727664,0.00033026133,0.00034474675],"domain_scores_gemma":[0.99910843,0.0004769022,0.00004623154,0.000268807,0.00003344109,0.00006620103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001455092,0.00013019062,0.00015041974,0.00012295479,0.00037522093,0.0008999956,0.0010851267,0.00006110852,0.00001313467],"category_scores_gemma":[0.0000610617,0.00009727376,0.000054539047,0.0005058835,0.0002821888,0.0006642119,0.00013760255,0.00009169495,0.00008260381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037811324,0.000012589507,0.000033709082,0.00001961003,0.000010156267,0.0000046244472,0.016116297,0.000017915178,0.0017858368,0.9543602,0.0018002049,0.02583507],"study_design_scores_gemma":[0.0004578574,0.00035305962,0.002765351,0.00011896412,0.000035012887,0.000036568432,0.019831793,0.2519709,0.024319652,0.6822856,0.0169404,0.0008848548],"about_ca_topic_score_codex":0.000096572076,"about_ca_topic_score_gemma":0.00011639583,"teacher_disagreement_score":0.6761897,"about_ca_system_score_codex":0.000022712014,"about_ca_system_score_gemma":0.00016062548,"threshold_uncertainty_score":0.8678678},"labels":[],"label_agreement":null},{"id":"W4399802505","doi":"10.3390/app14125299","title":"The Efficiency of Calcium Oxide on Microbial Self-Healing Activity in Alkali-Activated Slag (AAS)","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Slag (welding); Calcium; Chemistry; Materials science; Metallurgy","score_opus":0.015559841700926459,"score_gpt":0.2669511196411402,"score_spread":0.25139127794021376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399802505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98764884,0.000014844309,0.0004705739,0.00036481748,0.00030481024,0.0003550726,0.000008479211,0.000083676416,0.0107489],"genre_scores_gemma":[0.9981599,0.000012366625,0.0016440949,0.000056392295,0.000028848026,0.00003894665,6.721061e-7,0.000007787193,0.00005101449],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985719,0.00005807062,0.0002835253,0.00047306786,0.00030641846,0.00030703258],"domain_scores_gemma":[0.99933594,0.0002797796,0.00009485248,0.00024527122,0.0000053422864,0.00003879648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011472618,0.00013042925,0.00013766896,0.00008140686,0.00038616688,0.00012851562,0.00052536186,0.00006135221,0.00022822362],"category_scores_gemma":[0.00002265862,0.000091805545,0.000036260255,0.0011522218,0.0009105023,0.00012049132,0.00015787323,0.00013511698,0.00026352121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011966534,0.00003957713,0.00014639215,0.000008038605,0.0000027690444,4.4315448e-7,0.00017102559,0.00066825806,0.99000466,0.0054288562,0.0003210072,0.0031969934],"study_design_scores_gemma":[0.00008680904,0.000022706237,0.0010143899,0.000019360265,0.000004408834,0.000004785105,0.00012361491,0.0006596879,0.99092823,0.0012154087,0.0057904683,0.00013015611],"about_ca_topic_score_codex":0.0003356598,"about_ca_topic_score_gemma":0.00007896266,"teacher_disagreement_score":0.0106978845,"about_ca_system_score_codex":0.0001602259,"about_ca_system_score_gemma":0.000056525027,"threshold_uncertainty_score":0.37437215},"labels":[],"label_agreement":null},{"id":"W4399891843","doi":"10.3390/app14125340","title":"Heart Rate Dynamics and Quantifying Physical Fatigue in Canadian Football","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal; University of Waterloo","funders":"","keywords":"Football; Geography","score_opus":0.0641350424323026,"score_gpt":0.3456002178583979,"score_spread":0.2814651754260953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399891843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837814,0.00011453429,0.000010133388,0.0011695655,0.00007978101,0.00009575909,9.533314e-7,0.000027325046,0.014720571],"genre_scores_gemma":[0.999307,0.000009246959,0.00020375212,0.0003581109,0.000057231307,0.000007939582,0.0000036975318,0.0000045456804,0.000048471724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993536,0.0000016636099,0.000077286546,0.00020459284,0.00010521499,0.00025768398],"domain_scores_gemma":[0.9997981,0.000024577152,0.0000068083928,0.00005186633,0.000004832452,0.000113774884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036435464,0.00006059863,0.000107737345,0.00017724477,0.00009547243,0.000061878876,0.00003946627,0.000022977207,0.000009323532],"category_scores_gemma":[0.000004380401,0.000047006673,0.000013490806,0.0004101968,0.00016244008,0.00008078884,0.000009780419,0.000111068446,0.000013585371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016942853,0.000032664717,0.76108336,0.0001702822,0.00001658704,0.00015386648,0.005566708,0.00021824181,0.003650768,0.19524127,0.00017189559,0.03367739],"study_design_scores_gemma":[0.0002979699,0.000107457985,0.6520229,0.00021627362,0.000018863177,0.000044350516,0.0026437314,0.34059,0.00068100484,0.0010036625,0.0021858548,0.00018789279],"about_ca_topic_score_codex":0.014205732,"about_ca_topic_score_gemma":0.09006643,"teacher_disagreement_score":0.34037176,"about_ca_system_score_codex":0.000045209013,"about_ca_system_score_gemma":0.00027985199,"threshold_uncertainty_score":0.99235874},"labels":[],"label_agreement":null},{"id":"W4399895119","doi":"10.3390/app14125350","title":"Investigation of Structural Seismic Vulnerability Using Machine Learning on Rapid Visual Screening","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Computer science; Artificial intelligence; Computer security","score_opus":0.05224834362512428,"score_gpt":0.2990121197542804,"score_spread":0.2467637761291561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399895119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92552364,0.0003976618,0.07259412,0.00041981804,0.00028157455,0.00007906968,7.3492623e-7,0.00012800083,0.0005753493],"genre_scores_gemma":[0.9836366,0.000003316209,0.016086707,0.00020787255,0.00004643917,0.0000029036873,0.0000011213124,0.0000030789388,0.000011930586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877316,0.000091143986,0.00019149478,0.00043394524,0.00028991874,0.00022032393],"domain_scores_gemma":[0.9994653,0.0002927425,0.0000637676,0.0001170676,0.000022770853,0.000038350336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009690871,0.00011302064,0.00014492654,0.00015986296,0.00056927564,0.00010852605,0.00034853077,0.000041948384,0.000011163986],"category_scores_gemma":[0.000044578093,0.0000873162,0.00003848156,0.00078355824,0.000597993,0.00028656918,0.00014604573,0.00021406042,0.000007834202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048711412,0.000021660455,0.08065281,0.000175542,0.00012996401,0.000018714083,0.013296919,0.18857448,0.07178512,0.25941542,0.000075653836,0.385805],"study_design_scores_gemma":[0.00007653895,0.00014540525,0.013940716,0.00003047835,0.000005975131,0.000008926901,0.00016062906,0.9542226,0.019799275,0.011390312,0.00009087018,0.00012824987],"about_ca_topic_score_codex":0.000095391886,"about_ca_topic_score_gemma":0.000004281749,"teacher_disagreement_score":0.7656481,"about_ca_system_score_codex":0.000013343241,"about_ca_system_score_gemma":0.000068603804,"threshold_uncertainty_score":0.43784654},"labels":[],"label_agreement":null},{"id":"W4400038831","doi":"10.3390/app14135503","title":"A Defect Detection Method Based on YOLOv7 for Automated Remanufacturing","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Computer science; Artificial intelligence; Object detection; Segmentation; Inference; Process (computing); Machine learning; Transfer of learning; Field (mathematics); Object (grammar); Computer vision; Data mining; Pattern recognition (psychology); Engineering; Mathematics","score_opus":0.026502238561161573,"score_gpt":0.2988873500524747,"score_spread":0.2723851114913131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400038831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24426186,0.00010554202,0.7197095,0.00007635468,0.0041722236,0.0015682317,0.00000829281,0.0063724825,0.0237255],"genre_scores_gemma":[0.99663293,6.827019e-7,0.0029018044,0.000058776823,0.00015355542,0.00020999687,0.0000010243047,0.000018213896,0.000023010562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990936,0.000021315174,0.00016917047,0.00028804058,0.00021375081,0.0002141374],"domain_scores_gemma":[0.99949676,0.00032687484,0.000017880056,0.0001097269,0.000010415475,0.00003833955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010247597,0.00012126819,0.00012267288,0.00026381583,0.00021754463,0.00019273483,0.000087040185,0.00009094461,0.00001222573],"category_scores_gemma":[0.000025094449,0.00009564223,0.00009351987,0.00049185305,0.000024032337,0.00007479835,0.000006202537,0.000116718584,0.00005542566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004643837,0.000015685719,0.0000010798599,0.00017889717,0.000036772006,0.0000028711381,0.00015039073,0.72271985,0.11212234,0.001030362,0.0032963804,0.15998101],"study_design_scores_gemma":[0.0007650632,0.00020062305,0.000008676983,0.000037641017,0.00000893989,0.0000024674662,0.00003666279,0.8216472,0.16616759,0.00016567686,0.010842883,0.00011652318],"about_ca_topic_score_codex":0.0000105083645,"about_ca_topic_score_gemma":0.00000650281,"teacher_disagreement_score":0.7523711,"about_ca_system_score_codex":0.000067094195,"about_ca_system_score_gemma":0.00002276078,"threshold_uncertainty_score":0.3900177},"labels":[],"label_agreement":null},{"id":"W4400061124","doi":"10.3390/app14135559","title":"A Multi-Stage Approach to UAV Detection, Identification, and Tracking Using Region-of-Interest Management and Rate-Adaptive Video Coding","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Korea Institute of Energy Technology Evaluation and Planning; National Research Foundation of Korea","keywords":"Computer science; Region of interest; Artificial intelligence; Computer vision; ENCODE; Coding (social sciences); Drone; Real-time computing","score_opus":0.20592806616059806,"score_gpt":0.34961529259937524,"score_spread":0.14368722643877718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400061124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104396604,0.0002580746,0.894123,0.00007932703,0.00020311329,0.000260342,8.501243e-7,0.000091424256,0.0005872328],"genre_scores_gemma":[0.8023134,0.000025116047,0.19752192,0.000045592988,0.000018889805,0.000019954065,1.6169989e-7,0.0000054579946,0.00004949063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985482,0.00007847778,0.00026499477,0.000719335,0.00016937398,0.00021960387],"domain_scores_gemma":[0.99939084,0.00018319808,0.00008380269,0.0002249414,0.000045684184,0.00007155074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019693456,0.00012907118,0.00015583087,0.0003160274,0.00036190514,0.0006857884,0.00039487577,0.000033800465,3.9660566e-7],"category_scores_gemma":[0.000031612162,0.00011297243,0.000024668952,0.0011338415,0.00023146608,0.0004891547,0.00021961339,0.00008532369,0.0000021352491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022742348,0.00009311947,0.0014233233,0.00048584133,0.000096340984,0.00003106165,0.009342029,0.0031605908,0.13823955,0.5154399,0.00004288846,0.33162257],"study_design_scores_gemma":[0.0003993295,0.00009602893,0.028731234,0.00029410142,0.00003758497,0.000093296774,0.0034084094,0.8961957,0.058783803,0.010631704,0.00070067553,0.00062810205],"about_ca_topic_score_codex":0.000031395415,"about_ca_topic_score_gemma":0.000023093364,"teacher_disagreement_score":0.8930351,"about_ca_system_score_codex":0.000025118221,"about_ca_system_score_gemma":0.000026221469,"threshold_uncertainty_score":0.66130733},"labels":[],"label_agreement":null},{"id":"W4400083383","doi":"10.3390/app14135596","title":"Activated Biochar-Amended Phytoextraction of Selenium in Contaminated Soil under Cold Climate in Northern Québec (Canada)","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; York University; Université du Québec en Abitibi-Témiscamingue; Centre Technologique des Résidus Industriels; Cégep de l'Abitibi Témiscamingue","funders":"","keywords":"Biochar; Amendment; Phytoremediation; Environmental remediation; Chemistry; Environmental chemistry; Organic matter; Soil contamination; Soil water; Agronomy; Environmental science; Pyrolysis; Contamination; Heavy metals; Soil science; Biology; Ecology","score_opus":0.020115419070984714,"score_gpt":0.2578927071670917,"score_spread":0.23777728809610696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400083383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952771,0.0002884588,0.000009496277,0.0009005677,0.00061266415,0.00034321554,0.000007374859,0.000078025085,0.002483109],"genre_scores_gemma":[0.9997231,0.000006803721,0.000026003805,0.00013119656,0.000037914353,0.000043931603,0.0000044669305,0.000011097134,0.000015504796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820745,0.000086306194,0.0004298256,0.0004680916,0.0003847056,0.00042364126],"domain_scores_gemma":[0.99931204,0.00036807856,0.00012259962,0.000119740886,0.000030682768,0.000046857982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007014808,0.00015929772,0.00027305246,0.00019608387,0.00008747941,0.00005141371,0.00025033098,0.00012794703,0.000031671912],"category_scores_gemma":[0.000029980776,0.00012578655,0.000028925773,0.001397813,0.00024203918,0.000120596196,0.000032978383,0.0002315745,0.000017104303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075626944,0.000059059374,0.02310256,0.000053277676,0.0000064952733,0.000002007215,0.00020673586,0.00058702583,0.9739221,0.00097210205,0.000065555585,0.00094747305],"study_design_scores_gemma":[0.0004001088,0.00010313122,0.049109757,0.00013518851,0.0000074184622,0.000003601838,0.0022662159,0.0015968148,0.94522524,0.00021043004,0.0007017934,0.00024032837],"about_ca_topic_score_codex":0.34058923,"about_ca_topic_score_gemma":0.9301996,"teacher_disagreement_score":0.5896104,"about_ca_system_score_codex":0.00055192574,"about_ca_system_score_gemma":0.00032534183,"threshold_uncertainty_score":0.66380185},"labels":[],"label_agreement":null},{"id":"W4400411957","doi":"10.3390/app14135958","title":"Retrofitting of Steel Structures with CFRP: Literature Review and Research Needs","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Retrofitting; Materials science; Structural engineering; Carbon fiber reinforced polymer; Corrosion; Reinforced concrete; Composite material; Engineering","score_opus":0.023355638713363158,"score_gpt":0.29850032268623294,"score_spread":0.2751446839728698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400411957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8468126,0.13110408,0.00007052191,0.00016957251,0.0001427043,0.00042539192,0.000009916048,0.00025157406,0.021013647],"genre_scores_gemma":[0.9945563,0.0026083896,0.002663921,0.000029884635,0.00003719229,0.000013785413,0.0000016559956,0.000011783057,0.00007709865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989844,0.000011834036,0.00015107132,0.00018998752,0.0004139083,0.00024882017],"domain_scores_gemma":[0.99963033,0.000111324116,0.000015300357,0.00014533121,0.000044689907,0.000053049247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048239995,0.00011444582,0.00017308323,0.00023690825,0.00009698666,0.00016808619,0.00023310437,0.00004980284,0.000025044319],"category_scores_gemma":[0.000017016158,0.00007379546,0.0000185672,0.0017150085,0.00038073456,0.0001680351,0.000048540736,0.00030336413,0.0000024565554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018870847,5.190864e-7,0.00063047453,0.016270507,0.00012452222,0.000057324294,0.0061425343,0.0012634126,0.4228186,0.4079105,0.0037969246,0.14096583],"study_design_scores_gemma":[0.0014490065,0.0015914015,0.013870005,0.038719736,0.0008363454,0.0012652623,0.009873677,0.018617513,0.8494504,0.019848606,0.04055627,0.003921771],"about_ca_topic_score_codex":0.000002882431,"about_ca_topic_score_gemma":2.791132e-7,"teacher_disagreement_score":0.4266318,"about_ca_system_score_codex":0.000015904214,"about_ca_system_score_gemma":0.00003021617,"threshold_uncertainty_score":0.30092916},"labels":[],"label_agreement":null},{"id":"W4400453381","doi":"10.3390/app14145971","title":"Parameter Design and Optimization of Grass Aerial Seeding Tower Based Computational Fluid Dynamics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Airflow; Seeding; Tower; Computational fluid dynamics; Traverse; Marine engineering; Acceleration; Mechanics; Fluent; Environmental science; Meteorology; Engineering; Structural engineering; Aerospace engineering; Geology; Physics; Mechanical engineering; Geodesy","score_opus":0.011699739119979145,"score_gpt":0.22278686565449243,"score_spread":0.21108712653451328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400453381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112494156,0.00008971727,0.8862153,0.000020601105,0.00026663192,0.00009985645,0.000007170743,0.000091751725,0.0007148026],"genre_scores_gemma":[0.86373824,0.000009015922,0.13618687,0.000013266079,0.00002500318,0.000007024351,0.000009837969,0.00000782796,0.000002903004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944174,0.000005852766,0.00013689505,0.00014777618,0.00015353673,0.000114206094],"domain_scores_gemma":[0.9997356,0.00016822222,0.00001153712,0.000040451585,0.000013827491,0.000030365134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002257097,0.00008085994,0.00009171385,0.00010080054,0.000060814324,0.00010418101,0.00007183362,0.00003815857,0.000015090308],"category_scores_gemma":[0.0000062281324,0.00007297606,0.000018053512,0.00030929066,0.0001295835,0.00009492495,0.000013245385,0.00004241692,0.0000013038632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000343628,0.000003513638,0.000028850625,0.00001793329,0.0000058909336,4.6091702e-7,0.00005653863,0.9857456,0.0021527794,0.010950759,0.00009275089,0.0009415059],"study_design_scores_gemma":[0.00007597802,0.000019956113,0.000037834663,0.000011985333,0.000007841406,0.0000013269544,0.000026438765,0.9977127,0.00060984096,0.0013897008,0.000018604256,0.000087793436],"about_ca_topic_score_codex":0.0000029197472,"about_ca_topic_score_gemma":0.0000018456007,"teacher_disagreement_score":0.7512441,"about_ca_system_score_codex":0.000025568903,"about_ca_system_score_gemma":0.00003143381,"threshold_uncertainty_score":0.29758772},"labels":[],"label_agreement":null},{"id":"W4400483986","doi":"10.3390/app14146020","title":"A Review of Recent Literature on Audio-Based Pseudo-Haptics","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Ontario Tech University","funders":"","keywords":"Haptic technology; Computer science; Human–computer interaction; Virtual reality; Stereotaxy; Multimedia; Simulation","score_opus":0.15367942205278418,"score_gpt":0.40399728197016355,"score_spread":0.25031785991737937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400483986","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000001074854,0.94193393,0.0000053048902,0.00035066513,0.000931528,0.0007661198,0.00012263657,0.000081307684,0.055807408],"genre_scores_gemma":[0.000023603367,0.99599046,0.00014198676,0.003213587,0.00012867546,0.00012527686,0.000012708651,0.00002717417,0.00033650288],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973091,0.0001446128,0.0006844115,0.00091146154,0.0006270924,0.00032335808],"domain_scores_gemma":[0.9981024,0.00077318546,0.0004475189,0.0005335118,0.000049585564,0.00009377103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025931693,0.00041417553,0.0011016934,0.0004036252,0.00019249946,0.00016736129,0.0008226043,0.00016556388,0.00027532937],"category_scores_gemma":[0.00046540255,0.0002576101,0.00043545404,0.0028022176,0.00035782607,0.000077297,0.00007110266,0.0007288747,0.00076030625],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005875942,0.00016308045,1.7547947e-8,0.15565048,0.000022678061,0.000040394858,0.00006621044,0.0000051675443,0.00042541028,0.031233443,0.029398888,0.78298837],"study_design_scores_gemma":[0.000023516464,0.000073679155,6.328017e-9,0.10439642,0.00028294403,0.000033838453,0.0000058446763,0.000013029952,0.00067675754,0.00013768072,0.8941336,0.00022263263],"about_ca_topic_score_codex":7.4544266e-7,"about_ca_topic_score_gemma":7.050915e-7,"teacher_disagreement_score":0.86473477,"about_ca_system_score_codex":0.00007185821,"about_ca_system_score_gemma":0.00048824327,"threshold_uncertainty_score":0.9999876},"labels":[],"label_agreement":null},{"id":"W4400491829","doi":"10.3390/app14146002","title":"An Integrated Numerical Study of CO2 Storage in Carbonate Gas Reservoirs with Chemical Interaction between CO2, Brine, and Carbonate Rock Matrix","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Carbonate; Brine; Geology; Geochemistry; Petroleum engineering; Mineralogy; Materials science; Chemistry; Metallurgy","score_opus":0.016371917276107466,"score_gpt":0.29232946207825133,"score_spread":0.27595754480214385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400491829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924589,0.000011105095,0.00018962173,0.00022159201,0.000060010283,0.00026684356,0.0000036972096,0.00005048016,0.0067377836],"genre_scores_gemma":[0.99960876,0.0000028382544,0.00023818764,0.00001848909,0.000017573278,0.00002875764,0.0000054696466,0.000005651768,0.00007428127],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872667,0.00006008537,0.00024632592,0.0004506712,0.00032751847,0.0001887382],"domain_scores_gemma":[0.9996134,0.00011362132,0.000059431888,0.00012709587,0.0000101471605,0.00007632405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034811578,0.0001265461,0.00016818637,0.000107596636,0.00008402414,0.000088999404,0.00020477093,0.000044761564,0.0002096809],"category_scores_gemma":[0.000014569075,0.000092355025,0.000013942838,0.00080384954,0.00024351092,0.0002938664,0.000082697916,0.00025054,0.000017614406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058462506,0.0017688198,0.56894994,0.000062338586,0.000101552745,0.00016735468,0.01989184,0.25522017,0.13980111,0.0027078888,0.0005821925,0.010162176],"study_design_scores_gemma":[0.0021710538,0.004371613,0.27887505,0.00017781065,0.00013856313,0.0001255986,0.046672106,0.63954306,0.019949105,0.002483705,0.004183353,0.0013089947],"about_ca_topic_score_codex":0.0037343658,"about_ca_topic_score_gemma":0.0013041964,"teacher_disagreement_score":0.38432288,"about_ca_system_score_codex":0.000092418966,"about_ca_system_score_gemma":0.000030160956,"threshold_uncertainty_score":0.56452686},"labels":[],"label_agreement":null},{"id":"W4400577661","doi":"10.3390/app14146101","title":"Enhanced Energy, Conversion Efficiency and Collimation of Protons Driven by High-Contrast and Ultrashort Laser Pulses","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"European Research Council","keywords":"Laser; Proton; Optics; Laser beam quality; Collimated light; Energy conversion efficiency; Beam (structure); Materials science; Acceleration; Physics; Atomic physics; Optoelectronics; Nuclear physics; Laser beams","score_opus":0.004775194104492942,"score_gpt":0.22627001377733807,"score_spread":0.22149481967284512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400577661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809221,0.00001954218,0.009915534,0.000095454925,0.00010244265,0.00021077231,0.000069103866,0.00001704662,0.008648007],"genre_scores_gemma":[0.9994822,0.000017335593,0.0002416848,0.000012192808,0.000025819172,0.00006154577,0.000018036357,0.0000034794539,0.0001376889],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994322,0.0000075585754,0.00012441367,0.00020819469,0.00011388803,0.00011376294],"domain_scores_gemma":[0.999641,0.00020706527,0.000040371484,0.000048382994,0.000022110138,0.000041052484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007830779,0.00007637403,0.00009468448,0.000049196995,0.00015261628,0.000104714854,0.00005977631,0.000018939174,0.00015764503],"category_scores_gemma":[0.0000042369616,0.000059446724,0.000014600574,0.00017960307,0.0002458391,0.00014343146,0.000023054825,0.000039377952,0.00000824837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037610615,0.00044438397,0.010246353,0.00015526678,0.00008482874,0.0000013317346,0.0010618356,0.001298254,0.6520992,0.3042848,0.0051726303,0.025113484],"study_design_scores_gemma":[0.00025848093,0.00010961184,0.0008548376,0.00006841091,0.000033806973,7.923552e-7,0.0009113965,0.005673434,0.9879319,0.002061207,0.0019407134,0.00015540519],"about_ca_topic_score_codex":0.000200966,"about_ca_topic_score_gemma":0.000007108051,"teacher_disagreement_score":0.3358327,"about_ca_system_score_codex":0.0000057513425,"about_ca_system_score_gemma":0.000037553233,"threshold_uncertainty_score":0.24241671},"labels":[],"label_agreement":null},{"id":"W4400582546","doi":"10.3390/app14146077","title":"RETRACTED: Mohan et al. Laser Welding of UNS S33207 Hyper-Duplex Stainless Steel to 6061 Aluminum Alloy Using High Entropy Alloy as a Filler Material. Appl. Sci. 2022, 12, 2849","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Natural Science Foundation of China","keywords":"Alloy; Materials science; Aluminium; Metallurgy; Welding; Duplex (building); High entropy alloys","score_opus":0.018399120672024136,"score_gpt":0.2677665259628558,"score_spread":0.24936740529083162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400582546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926704,0.00008121208,0.0010452695,0.0006145817,0.0014341949,0.00061708747,0.00010122246,0.0012585601,0.0021774427],"genre_scores_gemma":[0.9801013,0.00006198722,0.018621186,0.0006237268,0.00017701364,0.00010897121,0.000027805996,0.000099165925,0.00017885899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99692285,0.000052152445,0.0006026314,0.0007958461,0.00087189313,0.0007545985],"domain_scores_gemma":[0.9991205,0.000101594705,0.000101086254,0.00041457542,0.000069922266,0.00019234707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013102763,0.00043426605,0.00048909616,0.0004486857,0.0002449878,0.00079866505,0.0008530408,0.00020209471,0.00051667914],"category_scores_gemma":[0.000038379443,0.00039157417,0.00007315609,0.0009357559,0.000323006,0.0005706406,0.00032516642,0.0002959335,0.00008477598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029622359,0.000034755532,0.000017802138,0.00024586022,0.000038090435,0.000017917902,0.0004735954,0.015387881,0.9704948,0.0036331653,0.009082845,0.00054363126],"study_design_scores_gemma":[0.00017803776,0.00010171792,0.0000716551,0.00035357862,0.000040511757,0.000014897061,0.00046961723,0.011435866,0.957064,0.0013583023,0.028291345,0.0006204932],"about_ca_topic_score_codex":0.00033926452,"about_ca_topic_score_gemma":0.000032085813,"teacher_disagreement_score":0.019208498,"about_ca_system_score_codex":0.00016227223,"about_ca_system_score_gemma":0.00018501971,"threshold_uncertainty_score":0.9998536},"labels":[],"label_agreement":null},{"id":"W4400642174","doi":"10.3390/app14146151","title":"Coordinated Control Method for Unequal-Cycle Adjacent Intersections Using Vehicle–Road Collaboration","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Transport engineering; Engineering","score_opus":0.015562657813191785,"score_gpt":0.2811791192339183,"score_spread":0.26561646142072654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400642174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043489963,0.00046583655,0.9469509,0.0004385225,0.0013477,0.00074120215,0.00002493077,0.00071924395,0.005821678],"genre_scores_gemma":[0.99389774,0.0000062463896,0.0057545663,0.00006282017,0.0000816404,0.00013387462,0.0000028681472,0.000011665673,0.000048588452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928886,0.000012296918,0.00015517158,0.00021805767,0.00011525826,0.00021035744],"domain_scores_gemma":[0.99975365,0.00009329643,0.000015008218,0.000073637406,0.000025214878,0.00003916824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039411752,0.00009827044,0.00011498111,0.00013072553,0.00017259331,0.00019334546,0.00010590682,0.000032458014,0.000020891532],"category_scores_gemma":[0.000008600208,0.00008736384,0.000038033402,0.00059617026,0.000044614146,0.00012705987,0.000013493283,0.000054884444,0.000012271438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009918126,0.000011630741,0.0000015954902,0.000050783172,0.000056420628,8.597214e-7,0.0003373918,0.8481369,0.044564288,0.029533492,0.0012168082,0.076079935],"study_design_scores_gemma":[0.00035342955,0.000030663155,0.000036716527,0.000016037367,0.000045961046,5.196571e-7,0.00079728296,0.98596734,0.00092432013,0.00062472647,0.011088513,0.00011451209],"about_ca_topic_score_codex":0.000033094977,"about_ca_topic_score_gemma":0.00009117128,"teacher_disagreement_score":0.95040774,"about_ca_system_score_codex":0.00007795822,"about_ca_system_score_gemma":0.000033195316,"threshold_uncertainty_score":0.35625944},"labels":[],"label_agreement":null},{"id":"W4400642526","doi":"10.3390/app14146133","title":"Fenton-Based Treatment of Flax Biomass for Modification of Its Fiber Structure and Physicochemical Properties","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Saskatchewan","funders":"","keywords":"Fiber; Adsorption; Materials science; Chemical engineering; Raw material; Hydrogen peroxide; Cellulose fiber; Scanning electron microscope; Composite material; Chemistry; Organic chemistry","score_opus":0.031495703928001786,"score_gpt":0.2735304933785718,"score_spread":0.24203478945057005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400642526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998074,0.0010245926,0.000111392204,0.00011654413,0.00006198661,0.00037596156,0.000042991425,0.00003131946,0.00016121428],"genre_scores_gemma":[0.996839,0.000004031267,0.0030152968,0.0000053903796,0.000026281594,0.000040101597,0.0000064636724,0.0000043706414,0.00005906277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992692,0.000006475069,0.00016048018,0.00024710697,0.0001907123,0.00012601365],"domain_scores_gemma":[0.9996895,0.00008976665,0.000059743998,0.00009514979,0.00004016105,0.00002565159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007322772,0.00009332566,0.00014292776,0.000062875784,0.000065352695,0.000060495182,0.00014539974,0.000035754547,0.000025096859],"category_scores_gemma":[0.000006406412,0.000057399055,0.000032328957,0.00020848012,0.00031395155,0.000096923344,0.000017509798,0.00001440407,0.0000039033966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002616547,0.00001093123,0.0000045161096,0.0001669016,0.0000044417197,5.3297278e-8,0.0002045713,0.0001928741,0.99422354,0.0030383745,0.000012610398,0.0021150243],"study_design_scores_gemma":[0.00013524215,0.00013533542,0.00002137267,0.000034784392,0.000016040274,5.524284e-7,0.000023202198,0.009714907,0.9889028,0.00080083427,0.00014518695,0.000069755144],"about_ca_topic_score_codex":0.000012728486,"about_ca_topic_score_gemma":8.073483e-7,"teacher_disagreement_score":0.009522033,"about_ca_system_score_codex":0.000022398215,"about_ca_system_score_gemma":0.00006354575,"threshold_uncertainty_score":0.23406655},"labels":[],"label_agreement":null},{"id":"W4400776303","doi":"10.3390/app14146235","title":"Evaluation of Hydrogen Generation with Hybrid Renewable Energy Sources","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Government of Canada","keywords":"TRNSYS; Renewable energy; Photovoltaic system; Environmental science; Automotive engineering; Hydrogen production; Wind power; Electricity; Process engineering; Variable renewable energy; Electric power system; Engineering; Power (physics); Hydrogen; Meteorology; Electrical engineering; Thermal","score_opus":0.03591162134995788,"score_gpt":0.2566532103320681,"score_spread":0.22074158898211024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400776303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.712098,0.0025442208,0.00453804,0.000068593945,0.00040432482,0.00016045145,0.0000044882536,0.00019880956,0.27998304],"genre_scores_gemma":[0.9976594,0.00001949179,0.0005052091,0.000035879235,0.00039171122,0.00013066176,0.000023515413,0.000024423807,0.0012097268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695843,0.00015064742,0.0003352853,0.0005560736,0.0016972149,0.00030234363],"domain_scores_gemma":[0.99931103,0.000073234616,0.00011408896,0.00028070345,0.00015056212,0.000070355316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002627156,0.00018034039,0.00021458288,0.00025620637,0.00021699506,0.00015590212,0.0003189412,0.000046241632,0.00019921697],"category_scores_gemma":[0.000025801677,0.00013070057,0.000048537157,0.0008852735,0.00029596165,0.00023870217,0.000040210783,0.000044219883,0.00002693875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038556645,0.000016572663,0.000025278207,0.0000131931065,0.000057757414,0.0000030544231,0.00014146365,0.8366339,0.11805842,0.027893672,0.000728388,0.016424414],"study_design_scores_gemma":[0.00017116453,0.000065919216,0.000004801913,0.000038536353,0.00009009077,0.00002832567,0.00017939374,0.34995332,0.6303162,0.003780173,0.015192715,0.00017936486],"about_ca_topic_score_codex":0.010451078,"about_ca_topic_score_gemma":0.0050982563,"teacher_disagreement_score":0.51225775,"about_ca_system_score_codex":0.000100479425,"about_ca_system_score_gemma":0.0005511305,"threshold_uncertainty_score":0.9961384},"labels":[],"label_agreement":null},{"id":"W4400809215","doi":"10.3390/app14146293","title":"A Novel Fragmented Approach for Securing Medical Health Records in Multimodal Medical Images","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Commonwealth Cyber Initiative","keywords":"Computer science; Robustness (evolution); Cloud computing; Encryption; Medical record; Artificial intelligence; Computer vision; Computer security; Medicine; Radiology","score_opus":0.05663542944880358,"score_gpt":0.33823559611040516,"score_spread":0.2816001666616016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400809215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12487194,0.00032180187,0.7781081,0.043493334,0.002224238,0.0022470756,0.0000453731,0.0009905542,0.047697593],"genre_scores_gemma":[0.99266917,0.00003640754,0.0042154975,0.0025610228,0.00013693082,0.0002666598,0.000003006099,0.000011061766,0.00010024649],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974403,0.000054923217,0.00033296828,0.0007381149,0.0010446191,0.0003890739],"domain_scores_gemma":[0.9991013,0.00049980386,0.000055547087,0.00011939536,0.000009030822,0.00021494871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023523828,0.00011758758,0.00015493705,0.00022148831,0.00028964962,0.00014081714,0.000481205,0.00009216104,0.0001304655],"category_scores_gemma":[0.00058590795,0.00009436476,0.00004393292,0.0010213432,0.0005083638,0.00013763708,0.000066898276,0.0003027126,0.00001768828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104423954,0.0010390797,0.0001516977,0.0005509875,0.000009438102,0.000024099982,0.0033091446,0.0002573502,0.31440252,0.26453003,0.005165373,0.41045585],"study_design_scores_gemma":[0.0012822382,0.00018111354,0.0007479956,0.00016009157,0.0000034371587,0.00013997381,0.0015235977,0.90213776,0.08392767,0.0015726436,0.007944389,0.0003791193],"about_ca_topic_score_codex":0.00006741859,"about_ca_topic_score_gemma":0.000057763787,"teacher_disagreement_score":0.9018804,"about_ca_system_score_codex":0.000075954464,"about_ca_system_score_gemma":0.00054740417,"threshold_uncertainty_score":0.38480833},"labels":[],"label_agreement":null},{"id":"W4400917402","doi":"10.3390/app14156397","title":"Advanced Industrial Fault Detection: A Comparative Analysis of Ultrasonic Signal Processing and Ensemble Machine Learning Techniques","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Ultrasonic sensor; Fault (geology); Signal processing; Artificial intelligence; Pattern recognition (psychology); Acoustics; Digital signal processing; Computer hardware; Seismology; Physics; Geology","score_opus":0.02050614818878334,"score_gpt":0.2664166819216689,"score_spread":0.24591053373288554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400917402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414501,0.0027786891,0.042643275,0.000017931487,0.00013457742,0.00030499249,0.000005256599,0.0008010105,0.011864144],"genre_scores_gemma":[0.9995748,0.000018688483,0.00028407187,0.0000035539813,0.00004116851,0.000041055875,0.0000011822921,0.0000048675056,0.00003064115],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926144,0.000020016425,0.00019456387,0.00020431774,0.00018402633,0.0001356223],"domain_scores_gemma":[0.9997864,0.000086241205,0.000036750687,0.000039655948,0.000016921356,0.00003404773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030395202,0.00010203416,0.0002361751,0.00032582987,0.0001502154,0.00011488091,0.00007339011,0.000056629957,0.000014477128],"category_scores_gemma":[0.000005020301,0.00008480173,0.000042640953,0.0016743159,0.00011288759,0.00012856205,0.000009255,0.00018200523,0.0000021643862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016856044,0.0000056073027,0.00011585498,0.000045552948,0.00016769471,8.244578e-7,0.0011238012,0.05286989,0.65573394,0.00021942442,0.0000051112534,0.2896954],"study_design_scores_gemma":[0.00010803308,0.00007176431,0.000055754055,0.00003726813,0.000100200064,0.0000038376747,0.0010524383,0.78633296,0.20993356,0.000034964254,0.0021519838,0.00011722609],"about_ca_topic_score_codex":0.000024820956,"about_ca_topic_score_gemma":0.000100162426,"teacher_disagreement_score":0.73346305,"about_ca_system_score_codex":0.0000248059,"about_ca_system_score_gemma":0.000020536669,"threshold_uncertainty_score":0.34581143},"labels":[],"label_agreement":null},{"id":"W4400939773","doi":"10.3390/app14156468","title":"A Study of Discriminatory Speech Classification Based on Improved Smote and SVM-RF","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Support vector machine; Computer science; Speech recognition; Pattern recognition (psychology); Artificial intelligence; Machine learning","score_opus":0.027102394153505814,"score_gpt":0.27805737573873324,"score_spread":0.25095498158522744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400939773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715517,0.000105598665,0.016903097,0.00008935852,0.00010744446,0.00043372455,0.0000074340605,0.00021014024,0.010591504],"genre_scores_gemma":[0.99719656,0.000006306366,0.0026684105,0.0000122064575,0.000021537113,0.00006950137,0.0000012073455,0.0000075685325,0.000016731017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946207,0.0000029456792,0.00010944288,0.00020290706,0.00012648571,0.00009617404],"domain_scores_gemma":[0.9997724,0.000057896137,0.000013847156,0.000119952085,0.000007543928,0.000028330407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013244046,0.000071701186,0.00007195029,0.00008002339,0.000080040096,0.000038268365,0.0000992006,0.000019317378,0.0000044334574],"category_scores_gemma":[0.000003057298,0.000057475074,0.000010655998,0.00031795766,0.00010227203,0.000055484845,0.000011771988,0.00006553301,0.0000046919045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009167887,0.00037913362,0.00024858693,0.0002118615,0.000030162711,0.0000038071223,0.002698858,0.025420483,0.3315191,0.06796297,0.00023696163,0.5712789],"study_design_scores_gemma":[0.00022137995,0.00016665681,0.0062934705,0.000025886571,0.000020491512,8.291606e-7,0.0040219226,0.968883,0.016345704,0.0029347662,0.00089796144,0.00018793538],"about_ca_topic_score_codex":0.0000058253586,"about_ca_topic_score_gemma":0.0000082310435,"teacher_disagreement_score":0.9434625,"about_ca_system_score_codex":0.000013584509,"about_ca_system_score_gemma":0.000013431074,"threshold_uncertainty_score":0.23437655},"labels":[],"label_agreement":null},{"id":"W4400947559","doi":"10.3390/app14156432","title":"Environmental-Impact-Based Multi-Agent Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Alliance de recherche numérique du Canada","keywords":"Computer science","score_opus":0.027554366087087664,"score_gpt":0.2775524108106826,"score_spread":0.24999804472359494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400947559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005780279,0.00017843545,0.98415375,0.00024689114,0.00040041213,0.0002440889,3.432595e-7,0.00048229637,0.008513499],"genre_scores_gemma":[0.9676826,0.000017555416,0.030722246,0.00028490528,0.000042964122,0.0000327277,0.000004560681,0.000012142914,0.0012002982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997619,0.000039588933,0.00030235478,0.00064338994,0.0008455828,0.0005501373],"domain_scores_gemma":[0.9992289,0.00016347825,0.00008507592,0.0003708727,0.0000074377276,0.0001442277],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084185856,0.0002284818,0.00015255672,0.0002505466,0.00050615164,0.0008770356,0.0011895205,0.00005712078,0.00019077536],"category_scores_gemma":[0.000020489737,0.00018124966,0.000104850085,0.00068646966,0.00028583148,0.00045004586,0.00031498756,0.00028282413,0.0010398675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012899886,0.000013500272,0.00043589686,0.000012403116,0.000013197521,0.000008440308,0.0004240107,0.9751956,0.003893755,0.013291624,0.00024292555,0.0064673703],"study_design_scores_gemma":[0.0001714891,0.0001717536,0.0007106818,0.000026033504,0.0000066412454,0.000003565345,0.00007362636,0.9853235,0.0033349914,0.00006883451,0.009858531,0.00025037458],"about_ca_topic_score_codex":0.000010947698,"about_ca_topic_score_gemma":4.8651356e-7,"teacher_disagreement_score":0.9619023,"about_ca_system_score_codex":0.00018539175,"about_ca_system_score_gemma":0.00017376279,"threshold_uncertainty_score":0.9997379},"labels":[],"label_agreement":null},{"id":"W4400948197","doi":"10.3390/app14156416","title":"Hub-and-Spoke Network Design Considering Congestion and Flow-Based Cost Function","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Spoke-hub distribution paradigm; Computer science; Transport engineering; Engineering","score_opus":0.04925656065971107,"score_gpt":0.26172953764237217,"score_spread":0.2124729769826611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400948197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25261226,0.0071883034,0.72435683,0.00025887328,0.0022971884,0.0012556834,0.0000037514249,0.0014524395,0.010574655],"genre_scores_gemma":[0.9957303,0.00002654648,0.0039568404,0.000024311768,0.00015050423,0.00007670803,0.0000010782771,0.0000121970825,0.00002152317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991627,0.000026661979,0.00011410142,0.00023748746,0.00021047324,0.00024860702],"domain_scores_gemma":[0.9994287,0.00041753423,0.0000081659,0.00007252512,0.000010660408,0.00006242263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010097694,0.00009327484,0.000096414755,0.00010396666,0.00019269229,0.00029651241,0.00006155352,0.0000488861,0.00001662562],"category_scores_gemma":[0.000018431245,0.00008353785,0.000009770159,0.00036557062,0.00020068037,0.00009461699,0.000019759813,0.000111883135,0.000030852974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011933281,0.0000025379572,0.0009387166,0.00021429402,0.000018573091,0.000007255579,0.00017964715,0.9390235,0.013052066,0.0052324613,0.0027451075,0.038573917],"study_design_scores_gemma":[0.00012233,0.000035491867,0.0014657418,0.00011863701,0.000010645355,0.000010639436,0.000084375715,0.9886143,0.0019381834,0.0007824027,0.006668427,0.00014877753],"about_ca_topic_score_codex":0.000008172901,"about_ca_topic_score_gemma":0.0000118309545,"teacher_disagreement_score":0.74311805,"about_ca_system_score_codex":0.000028685754,"about_ca_system_score_gemma":0.00003972334,"threshold_uncertainty_score":0.34065747},"labels":[],"label_agreement":null},{"id":"W4400981294","doi":"10.3390/app14156475","title":"The Effect of Pre-Treatment and the Drying Method on the Nutritional and Bioactive Composition of Sea Cucumbers—A Review","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sea cucumber; Steaming; Food science; Environmental science; Business; Food industry; High pressure; Food processing; Nutraceutical; Biotechnology; Biology; Engineering; Ecology","score_opus":0.015033569886520529,"score_gpt":0.28099803086178515,"score_spread":0.2659644609752646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400981294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800346,0.008010471,0.0000025182578,0.0100143785,0.000037643273,0.00043440543,0.000011562811,0.000006692426,0.0014477638],"genre_scores_gemma":[0.9965274,0.0031456463,0.000033358665,0.00019950597,0.000021534308,0.000060200648,0.0000028989832,1.770372e-7,0.000009302896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993306,0.00027049854,0.00009884273,0.00014541167,0.00006981625,0.00008486661],"domain_scores_gemma":[0.9940349,0.0058690757,0.000050816987,0.000025943662,0.000008009893,0.000011253812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014933291,0.000060333427,0.00012448532,0.000004299494,0.00048716474,0.000022427266,0.00011492797,0.000028712855,0.000016258457],"category_scores_gemma":[0.000023482404,0.000011307826,0.0000361456,0.00015585136,0.0010572737,0.000021784896,0.000034411903,0.00005327663,0.0000011535672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081271003,0.00009704263,0.016329108,0.0003256233,0.00024504637,0.0000014269469,0.0008690847,0.000011869539,0.16694003,0.41388133,0.0007460069,0.39974073],"study_design_scores_gemma":[0.002490122,0.013122873,0.17334472,0.002581062,0.00091742235,0.00021921849,0.0033237154,0.008406445,0.6178423,0.16247489,0.014436398,0.0008408298],"about_ca_topic_score_codex":0.00010461011,"about_ca_topic_score_gemma":0.0001262631,"teacher_disagreement_score":0.45090228,"about_ca_system_score_codex":0.000004702091,"about_ca_system_score_gemma":0.000004300503,"threshold_uncertainty_score":0.3895569},"labels":[],"label_agreement":null},{"id":"W4401023011","doi":"10.3390/app14156530","title":"The Geographic Automata Tool: A New General-Purpose Geosimulation Extension for ArcGIS Pro","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Computer science; Geographic information system; Cellular automaton; Data science; Software; Geospatial PDF; Database; Software engineering; Geography; Cartography; Artificial intelligence; Programming language","score_opus":0.02133566780651654,"score_gpt":0.25644019686332126,"score_spread":0.2351045290568047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401023011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171185,0.00037641573,0.0010002636,0.0014035915,0.00038847144,0.00070322613,0.0000042987394,0.00017120187,0.0042406647],"genre_scores_gemma":[0.99774784,0.000070455804,0.0013865388,0.00021672946,0.00014588967,0.00008847922,0.000005014684,0.000008181525,0.0003308578],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871916,0.000013125545,0.00018087424,0.00042642094,0.0003463089,0.00031409736],"domain_scores_gemma":[0.999515,0.00016265905,0.000042057116,0.00021397568,0.0000044256626,0.000061882805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007884444,0.00010946673,0.000086512395,0.000037378635,0.00080015545,0.00041573873,0.00038982538,0.000041491065,0.00009785058],"category_scores_gemma":[0.000009226893,0.000058825695,0.000053922195,0.0004893206,0.00008424265,0.00028512097,0.000121330326,0.000046266807,0.00027064508],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001349412,0.00013748989,0.019738562,0.00024388221,0.0000719062,0.000010460225,0.0021808527,0.046334572,0.05430851,0.06864216,0.037881117,0.7703155],"study_design_scores_gemma":[0.00031946186,0.00013690452,0.020004502,0.000052207855,0.00003827151,0.000008276951,0.00012913889,0.64354545,0.002327267,0.047649708,0.28543055,0.00035828896],"about_ca_topic_score_codex":0.0003404256,"about_ca_topic_score_gemma":0.00047873423,"teacher_disagreement_score":0.76995724,"about_ca_system_score_codex":0.000022029893,"about_ca_system_score_gemma":0.00002712981,"threshold_uncertainty_score":0.61542296},"labels":[],"label_agreement":null},{"id":"W4401122912","doi":"10.3390/app14156627","title":"The Seismic Behavior of Rectangular Concrete-Encased Steel Bridge Piers: A Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Structural engineering; Bridge (graph theory); Geotechnical engineering; Forensic engineering; Engineering; Geology; Medicine","score_opus":0.04519262705126033,"score_gpt":0.317326170968379,"score_spread":0.2721335439171187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401122912","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013152682,0.99358684,0.000016236092,0.0000117622585,0.0007821574,0.0018205032,0.000073815165,0.00028117557,0.0032959746],"genre_scores_gemma":[0.00048751314,0.9983064,0.0002465776,0.000035982208,0.000085145926,0.00062091986,0.000024634961,0.00006768023,0.00012516142],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99722964,0.000048622667,0.0009763633,0.00053173065,0.0006751462,0.0005385271],"domain_scores_gemma":[0.99858457,0.00030401605,0.00026571663,0.0006935862,0.00003851509,0.00011358661],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081215234,0.00059155154,0.0015358567,0.00016945305,0.00020353176,0.00015946363,0.0014767179,0.0002212449,0.000041075356],"category_scores_gemma":[0.000043603846,0.00035052648,0.00055974914,0.0013674585,0.0007331241,0.00009353498,0.00014277684,0.0005971629,0.00015668187],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.616172e-7,1.09410564e-7,1.0597861e-7,0.021713072,0.000073744195,0.000017984594,0.000036434114,0.000005758788,0.00008319488,0.0011615327,0.002601008,0.97430646],"study_design_scores_gemma":[0.000056180375,0.000038403192,8.584334e-7,0.021305993,0.002821964,0.00011404227,0.000037998452,0.00014294178,0.00014249492,0.00002702942,0.9747309,0.00058118394],"about_ca_topic_score_codex":0.000012410012,"about_ca_topic_score_gemma":5.981437e-7,"teacher_disagreement_score":0.9737253,"about_ca_system_score_codex":0.00012473567,"about_ca_system_score_gemma":0.00027899607,"threshold_uncertainty_score":0.9998947},"labels":[],"label_agreement":null},{"id":"W4401160603","doi":"10.3390/app14156700","title":"Machine Learning-Based Stroke Patient Rehabilitation Stage Classification Using Kinect Data","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Computer science; Artificial intelligence; Hyperparameter; Physical medicine and rehabilitation; Stroke (engine); Gesture; Machine learning; Physical therapy; Medicine; Engineering","score_opus":0.07001903823092659,"score_gpt":0.3421118112104393,"score_spread":0.27209277297951273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401160603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97947234,0.00073306,0.0075282473,0.00233234,0.0005412193,0.0006808462,0.00007812135,0.0002544274,0.008379383],"genre_scores_gemma":[0.98601556,0.000011919193,0.013354621,0.00014870554,0.00007016197,0.000018428149,0.00012563798,0.000011942446,0.00024302109],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998455,0.000058189544,0.00026617874,0.00054175657,0.0004979706,0.00018089946],"domain_scores_gemma":[0.9987939,0.00068673753,0.000068553694,0.0003305638,0.00004607955,0.00007415367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079180225,0.0001121175,0.00015205957,0.00029914465,0.00019600445,0.00010145662,0.00015587789,0.00005443549,0.00015016973],"category_scores_gemma":[0.0003653706,0.00008355218,0.000057385227,0.0006077817,0.0003153052,0.00018093483,0.000046331235,0.00018136216,0.000046514888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053227873,0.00091226783,0.17944862,0.0020158342,0.00016731444,0.000024317844,0.0039611952,0.042217486,0.5289973,0.04169909,0.0028308185,0.19719347],"study_design_scores_gemma":[0.00042014502,0.0007499077,0.019168716,0.00014542855,0.00006052529,0.0000049780774,0.002807302,0.9252068,0.0016361543,0.00013060759,0.04948691,0.00018256858],"about_ca_topic_score_codex":0.00004310114,"about_ca_topic_score_gemma":0.000008677387,"teacher_disagreement_score":0.8829893,"about_ca_system_score_codex":0.000096910866,"about_ca_system_score_gemma":0.00030573134,"threshold_uncertainty_score":0.34071591},"labels":[],"label_agreement":null},{"id":"W4401210186","doi":"10.3390/app14156731","title":"A Model of Information Visualization Interpretation","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visualization; Bar chart; Computer science; Parametric statistics; Landmark; Eye tracking; Data visualization; Point cloud; Algorithm; Data mining; Artificial intelligence; Mathematics; Statistics","score_opus":0.021136797096319767,"score_gpt":0.327756546560736,"score_spread":0.3066197494644162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401210186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37748924,0.00009143453,0.555595,0.00049712765,0.000043273274,0.000093201204,0.0000014529653,0.000079946236,0.06610936],"genre_scores_gemma":[0.9971274,0.000009040393,0.0026441035,0.00012307058,0.000008568675,0.0000035592534,0.00000779107,0.0000011609274,0.00007531721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999612,0.0000027735268,0.000114002214,0.0000590693,0.00016890667,0.00004325199],"domain_scores_gemma":[0.9998829,0.000014383145,0.000025458916,0.000034602104,0.000028085044,0.0000145743115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020407102,0.000027445047,0.000056196117,0.00016182092,0.000026884038,0.00003929827,0.000030548537,0.000010984582,0.000009656785],"category_scores_gemma":[0.000018436782,0.000019645096,0.000022947888,0.00042392506,0.000074645526,0.00020251088,0.000006651238,0.000021898819,0.000019954317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007707313,0.00005880445,0.0019024063,0.0007704505,0.00007450557,9.187767e-7,0.013945873,0.04078797,0.25631028,0.4418885,0.0016620939,0.2425211],"study_design_scores_gemma":[0.000034621746,0.000021064185,0.00008803791,0.000055178174,0.00002978718,0.0000012080736,0.0003407928,0.98956454,0.0076560387,0.002087738,0.00009891441,0.000022065668],"about_ca_topic_score_codex":0.0000056580307,"about_ca_topic_score_gemma":3.0180624e-7,"teacher_disagreement_score":0.9487766,"about_ca_system_score_codex":0.000007899912,"about_ca_system_score_gemma":0.000050353206,"threshold_uncertainty_score":0.08011038},"labels":[],"label_agreement":null},{"id":"W4401211555","doi":"10.3390/app14156726","title":"DeepSarc-US: A Deep Learning Framework for Assessing Sarcopenia Using Ultrasound Images","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University; Concordia University","funders":"Canadian Institutes of Health Research","keywords":"Sarcopenia; Artificial intelligence; Computer science; Medicine; Internal medicine","score_opus":0.07273950203912426,"score_gpt":0.42057162230441497,"score_spread":0.3478321202652907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401211555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5036221,0.0055676275,0.4662088,0.0024878336,0.00090479123,0.0010672135,0.000004154129,0.0005521889,0.01958526],"genre_scores_gemma":[0.7274429,0.000057061963,0.2711517,0.0009012972,0.0003308526,0.000030899235,0.0000037590335,0.000016287559,0.00006524528],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985599,0.000023740438,0.00024220433,0.00042198572,0.00032281375,0.00042939055],"domain_scores_gemma":[0.998808,0.0008568306,0.000055481672,0.000100681136,0.000044056273,0.00013492466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010070262,0.00012636637,0.00021663096,0.00020277967,0.0008242545,0.0005071539,0.00012145278,0.00008007648,0.00013208298],"category_scores_gemma":[0.00021987992,0.0001052191,0.00006288271,0.00066521874,0.00030229354,0.00021090475,0.000027876797,0.00035897162,0.000034800505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001460727,0.000217277,0.039633438,0.0039814855,0.00010208345,0.000086464934,0.0049284706,0.00089044136,0.57212794,0.25516587,0.0013516514,0.121368766],"study_design_scores_gemma":[0.0047149328,0.0011119851,0.03301509,0.01265721,0.00088061445,0.0015704655,0.039708115,0.14536208,0.1224789,0.4837872,0.15186663,0.0028467572],"about_ca_topic_score_codex":0.000012057348,"about_ca_topic_score_gemma":0.0000021110877,"teacher_disagreement_score":0.44964907,"about_ca_system_score_codex":0.000077247656,"about_ca_system_score_gemma":0.00021641156,"threshold_uncertainty_score":0.6339582},"labels":[],"label_agreement":null},{"id":"W4401211649","doi":"10.3390/app14156712","title":"Violence-YOLO: Enhanced GELAN Algorithm for Violence Detection","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Computer security","score_opus":0.013162015696953508,"score_gpt":0.27204180777392645,"score_spread":0.2588797920769729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401211649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048030573,0.00023046951,0.99011964,0.00018924603,0.000352308,0.0004889058,0.0000051321217,0.001020832,0.002790427],"genre_scores_gemma":[0.8158584,0.00014152608,0.1829364,0.00015006032,0.0001221519,0.0007170247,9.750318e-7,0.0000069733755,0.000066434724],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984341,0.000012058249,0.00021828742,0.00074454787,0.00026196893,0.0003290099],"domain_scores_gemma":[0.9993767,0.00013484796,0.000058124704,0.00030853457,0.000047159905,0.000074596326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049439585,0.00014386303,0.00011841358,0.00017684879,0.0005765643,0.00042249254,0.0009258103,0.00007512057,0.000011557616],"category_scores_gemma":[0.000007713861,0.0001222329,0.00007771287,0.0011932892,0.00021474427,0.0003659992,0.00011898633,0.000116862364,0.0001019656],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.710293e-7,0.000009872316,5.5952586e-7,0.0000065405866,0.000002805945,2.2275908e-7,0.00004973611,0.000016249662,0.030462893,0.07105867,0.000048288934,0.8983436],"study_design_scores_gemma":[0.000052303054,0.00015755213,0.000035606638,0.00008662256,0.0000061083574,0.000011004059,0.00007704981,0.2577983,0.58784467,0.14748795,0.0061917594,0.00025107214],"about_ca_topic_score_codex":0.000023989594,"about_ca_topic_score_gemma":0.0000071113036,"teacher_disagreement_score":0.8980925,"about_ca_system_score_codex":0.000045013712,"about_ca_system_score_gemma":0.00008606308,"threshold_uncertainty_score":0.4984513},"labels":[],"label_agreement":null},{"id":"W4401388151","doi":"10.3390/app14166907","title":"The Effect of Neuromuscular Fatigue on the Spatiotemporal Coordination of Rowing","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rowing; Physical medicine and rehabilitation; Functional movement; Athletes; Physical therapy; Medicine","score_opus":0.029126579032724705,"score_gpt":0.3040557920966858,"score_spread":0.2749292130639611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401388151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885229,0.00012482259,0.00003326736,0.0010339402,0.00011909235,0.00019724561,2.4218932e-7,0.000014726199,0.009953767],"genre_scores_gemma":[0.999845,0.0000063702764,0.000020049065,0.000045997986,0.00003735759,0.000012280656,9.141038e-7,0.0000029745147,0.000029052298],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993933,0.000008082892,0.00012077809,0.000100569145,0.00029465673,0.00008265047],"domain_scores_gemma":[0.9995797,0.00025435863,0.000040259947,0.00010298155,0.000011140885,0.00001151442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011322447,0.00004759519,0.000086378015,0.00004712044,0.00014309854,0.000019277704,0.000092802984,0.000014941895,0.000008625204],"category_scores_gemma":[0.000030103993,0.000019728046,0.00003915723,0.0003420062,0.00026707622,0.000039520266,0.000011155956,0.000076183685,0.0000031240836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033464938,0.000076656164,0.24661236,0.0007880628,0.00020079354,0.000024334733,0.0063505378,0.0017530227,0.10875313,0.246465,0.001628931,0.38701254],"study_design_scores_gemma":[0.00083852693,0.0030733976,0.22134037,0.0007275019,0.00016751848,0.000012304206,0.0021551729,0.030616533,0.7360684,0.0010630001,0.0037563515,0.00018091101],"about_ca_topic_score_codex":0.000011850236,"about_ca_topic_score_gemma":0.00000145301,"teacher_disagreement_score":0.6273153,"about_ca_system_score_codex":0.0000046344558,"about_ca_system_score_gemma":0.00003562064,"threshold_uncertainty_score":0.11006127},"labels":[],"label_agreement":null},{"id":"W4401534779","doi":"10.3390/app14167101","title":"Discrete Fracture Network (DFN) as an Effective Tool to Study the Scale Effects of Rock Quality Designation Measurements","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scale (ratio); Quality (philosophy); Geology; Environmental science; Geotechnical engineering; Geography; Cartography; Physics","score_opus":0.026469074194621127,"score_gpt":0.2995154854558946,"score_spread":0.2730464112612735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401534779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7750241,0.00017488623,0.22310406,0.000018794713,0.00028351,0.0009316845,5.154275e-7,0.0000855707,0.00037688634],"genre_scores_gemma":[0.99907655,0.000002597618,0.00058601,0.00006625459,0.000089735935,0.0001635019,6.943087e-7,0.000010783062,0.0000038954863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988996,0.00006288749,0.00015821251,0.00024919552,0.00044111797,0.00018899266],"domain_scores_gemma":[0.9995914,0.00016686965,0.00002070707,0.0001534782,0.000024922396,0.000042633506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014287705,0.000111230154,0.00012616279,0.000041962547,0.00022773299,0.00010135049,0.0002461473,0.000033573913,0.000004095124],"category_scores_gemma":[0.00002451677,0.00007170643,0.000028172664,0.00042577263,0.000010147441,0.000116814335,0.000039975293,0.000098142555,0.000011326275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009481014,0.000025221645,0.000058975984,0.000044980465,0.00004394836,4.418667e-7,0.0037219545,0.9270299,0.047800276,0.00082709506,0.00005484114,0.020382853],"study_design_scores_gemma":[0.00045798055,0.0008331172,0.0072130584,0.00016685636,0.00012819232,9.572943e-7,0.0019915504,0.5708306,0.39511716,0.022531796,0.00017449778,0.00055422995],"about_ca_topic_score_codex":0.000027923776,"about_ca_topic_score_gemma":0.000026392607,"teacher_disagreement_score":0.35619932,"about_ca_system_score_codex":0.000028692071,"about_ca_system_score_gemma":0.000015293883,"threshold_uncertainty_score":0.29241034},"labels":[],"label_agreement":null},{"id":"W4401534953","doi":"10.3390/app14167103","title":"Infection Control with Antimicrobial Solid-State ZnO Nanoparticles on Silk Fibroin Gauze","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Fibroin; Materials science; Antimicrobial; Solid-state; SILK; Polymer science; Nanotechnology; Composite material; Microbiology; Engineering physics; Engineering; Biology","score_opus":0.012341305198253596,"score_gpt":0.25750945909603745,"score_spread":0.24516815389778385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401534953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959137,0.00002412366,0.0007666482,0.00078963133,0.00033641886,0.00035266596,0.000053073865,0.00032552722,0.0014382177],"genre_scores_gemma":[0.9986333,0.0000067283595,0.0006277199,0.0004132846,0.00013831565,0.000103610044,0.000004051118,0.000013761936,0.000059175683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984726,0.000035732286,0.0002345899,0.0005593884,0.00031055667,0.000387188],"domain_scores_gemma":[0.99950767,0.00012518532,0.000066928296,0.00019273332,0.000026964417,0.00008052225],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055346807,0.00017315376,0.00017399294,0.0001020747,0.00047163953,0.0007141303,0.00023085091,0.000041142106,0.00020438344],"category_scores_gemma":[0.000008749115,0.000115091454,0.000034697023,0.0005227547,0.00055276393,0.00020003619,0.00003154352,0.000051786283,0.0009567468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005212741,0.00004766547,0.00009289895,0.000021725795,0.000004565735,0.00000348629,0.00009871117,0.0011952147,0.9894647,0.007474003,0.0008555251,0.0006893825],"study_design_scores_gemma":[0.0002671756,0.00019084934,0.000756246,0.000055512683,0.000015618587,0.000011377131,0.000025124447,0.00057984656,0.9954848,0.001038704,0.0013802232,0.00019446692],"about_ca_topic_score_codex":0.000107582506,"about_ca_topic_score_gemma":0.000051240255,"teacher_disagreement_score":0.006435299,"about_ca_system_score_codex":0.000030488296,"about_ca_system_score_gemma":0.00012329084,"threshold_uncertainty_score":0.9998211},"labels":[],"label_agreement":null},{"id":"W4401536067","doi":"10.3390/app14167024","title":"Fast-Neutron Radiolysis of Sub- and Supercritical Water at 300–600 °C and 25 MPa: A Monte Carlo Track Chemistry Simulation Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission; Université de Sherbrooke","keywords":"Supercritical fluid; Monte Carlo method; Nuclear engineering; Track (disk drive); Chemistry; Radiochemistry; Nuclear physics; Environmental science; Physics; Engineering; Mathematics; Mechanical engineering; Organic chemistry","score_opus":0.011649432825507145,"score_gpt":0.23381726832160415,"score_spread":0.222167835496097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401536067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718326,0.00095804065,0.00008936275,0.00012333893,0.00004739815,0.00012805691,0.0000075730018,0.000097472235,0.0013655192],"genre_scores_gemma":[0.9997844,0.000036688514,0.000056739675,0.00001601983,0.00004825623,0.000024423094,0.0000014328464,0.000012071187,0.000019947587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887145,0.000011172959,0.00021945164,0.00034887582,0.00024243696,0.0003066148],"domain_scores_gemma":[0.99953014,0.00024267434,7.6161365e-7,0.000084374515,0.000024751305,0.00011729705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021747439,0.00015111778,0.00022267419,0.000048332167,0.000112117246,0.00012443206,0.00010065603,0.00006367612,0.000045461602],"category_scores_gemma":[0.00002266769,0.00010364135,0.000028294638,0.00017239075,0.0004501227,0.00018605527,0.00006630866,0.00010723265,0.000007289393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015904388,0.00009534479,0.002418803,0.00092592544,0.00004722497,0.000019179686,0.0046336898,0.0066514467,0.98318046,0.00053539156,0.00002592868,0.0014507162],"study_design_scores_gemma":[0.0004642708,0.00015948237,0.0033285574,0.000069839516,0.00015597143,0.000028150129,0.004996873,0.20326997,0.7856204,0.0012081519,0.00019723868,0.0005011038],"about_ca_topic_score_codex":0.000011548858,"about_ca_topic_score_gemma":0.000008936766,"teacher_disagreement_score":0.19756006,"about_ca_system_score_codex":0.000018347948,"about_ca_system_score_gemma":0.00000739668,"threshold_uncertainty_score":0.42263716},"labels":[],"label_agreement":null},{"id":"W4401540984","doi":"10.3390/app14167001","title":"MRI Diffusion Connectomics-Based Characterization of Progression in Alzheimer’s Disease","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; St. Francis Xavier University; Memorial University of Newfoundland","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; St. Francis Xavier University; Canada Foundation for Innovation; National Institute of Biomedical Imaging and Bioengineering; Nova Scotia Research Innovation Trust; Foundation for the National Institutes of Health","keywords":"Connectomics; Diffusion MRI; Disease; Medicine; Biomarker; Neuroscience; Pathology; Psychology; Magnetic resonance imaging; Radiology; Connectome; Functional connectivity; Biology","score_opus":0.06855626450805484,"score_gpt":0.38315750755329625,"score_spread":0.3146012430452414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401540984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791107,0.00019007565,0.01551882,0.003319527,0.00004399609,0.00069296686,0.000010621117,0.00019663638,0.00091661816],"genre_scores_gemma":[0.9950956,0.000043218093,0.004502101,0.00019606091,0.000020545052,0.00009821385,0.000029532619,0.000007323856,0.0000074172162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993222,0.0000064105307,0.00014856673,0.00025388677,0.00016567984,0.00010326797],"domain_scores_gemma":[0.99972534,0.000039041737,0.00004005759,0.00012949898,0.000013907939,0.00005212741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013019964,0.00006488485,0.000096680495,0.00014233818,0.000050957406,0.000017436958,0.000080358324,0.000019437257,0.000015444177],"category_scores_gemma":[0.000008957448,0.000048926962,0.000023667195,0.0005167226,0.00018346266,0.000054181783,0.00002514678,0.00006558179,0.000004385583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006151604,0.00016252953,0.007910244,0.000070469665,0.000002238147,0.000008492345,0.00006993501,0.00003075475,0.9290196,0.025194533,0.000039872386,0.037429843],"study_design_scores_gemma":[0.0009922948,0.0002946865,0.1685123,0.0013791143,0.00013245497,0.000007164726,0.00006457545,0.19045949,0.61269176,0.01237795,0.012685122,0.00040309047],"about_ca_topic_score_codex":0.0000017008695,"about_ca_topic_score_gemma":3.2704722e-7,"teacher_disagreement_score":0.3163278,"about_ca_system_score_codex":0.000011832174,"about_ca_system_score_gemma":0.00008492457,"threshold_uncertainty_score":0.19951837},"labels":[],"label_agreement":null},{"id":"W4401614980","doi":"10.3390/app14167167","title":"Chemical Risk Assessment for Small Businesses: Development of the Chemical Hazard Assessment and Prioritization Risk (CHAP-Risk) Tool","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; BC Centre for Disease Control; University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Risk assessment; Prioritization; Risk analysis (engineering); Business; Computer science; Process management","score_opus":0.01654080431353418,"score_gpt":0.26769862525956,"score_spread":0.25115782094602584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401614980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95460075,0.00015903579,0.039358072,0.0005715171,0.00048990943,0.001204219,0.000012382758,0.00011101127,0.003493098],"genre_scores_gemma":[0.9711761,0.00011345172,0.02787541,0.0001711918,0.00034757078,0.00024397501,0.000016219556,0.000019073,0.000036989888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782825,0.000015899337,0.0004925619,0.0006698345,0.0006155219,0.00037792997],"domain_scores_gemma":[0.99903035,0.00022987524,0.00035619715,0.00024839686,0.00011606293,0.000019115621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017717828,0.00024765183,0.00025133096,0.00018321964,0.0007109655,0.00067028473,0.0005575438,0.000082208346,0.000031350963],"category_scores_gemma":[0.000111930014,0.00016091325,0.00008775164,0.0009815987,0.00040202963,0.00040967247,0.00049116235,0.00021390263,0.000009468156],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007280405,0.0005257784,0.24499254,0.0021220744,0.00030440956,0.0000033763913,0.0010434324,0.0017967762,0.03050925,0.22970684,0.0041887993,0.48473394],"study_design_scores_gemma":[0.0039231414,0.00008397229,0.31885302,0.0010457676,0.0017432537,0.0000058602027,0.009328226,0.36449027,0.039436948,0.12592189,0.13218167,0.002985954],"about_ca_topic_score_codex":0.00009417249,"about_ca_topic_score_gemma":0.00004776501,"teacher_disagreement_score":0.48174798,"about_ca_system_score_codex":0.00008033284,"about_ca_system_score_gemma":0.00023845612,"threshold_uncertainty_score":0.65618515},"labels":[],"label_agreement":null},{"id":"W4401641619","doi":"10.3390/app14167213","title":"Impact of Long-Term Storage on Mid-Infrared Spectral Patterns of Serum and Synovial Fluid of Dogs with Osteoarthritis","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Osteoarthritis; Synovial fluid; Term (time); Medicine; Physics; Pathology; Alternative medicine; Astronomy","score_opus":0.00924904565151696,"score_gpt":0.3117272540411408,"score_spread":0.30247820838962386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401641619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968509,0.0003259009,0.00031531628,0.000022988668,0.000020731008,0.00011671841,0.00007144228,0.000008249759,0.0022677172],"genre_scores_gemma":[0.999484,0.00013935423,0.0002485534,0.000008712088,0.000041084033,0.000007650898,0.000009686863,0.000005727959,0.000055218643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909365,0.000010055746,0.00014998925,0.00026228314,0.0002995197,0.00018452175],"domain_scores_gemma":[0.99970055,0.000027816268,0.000040139763,0.00014126196,0.000024115529,0.00006612753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015940693,0.00009191108,0.00014610516,0.00006214371,0.000023819295,0.0000140071,0.00020959757,0.0000750544,0.00007013987],"category_scores_gemma":[0.000014237999,0.000059917867,0.000051477688,0.0001805,0.0007617901,0.000003351065,0.00008297198,0.00007334829,3.8485098e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117627154,0.00004748029,0.01731571,0.00008682019,0.000021742608,0.000004815402,0.000031062176,0.0000010037752,0.9776527,0.0002282958,0.00006873106,0.004423953],"study_design_scores_gemma":[0.0001978577,0.0027852072,0.023741502,0.00009849418,0.0000058651785,0.000007641259,0.00001447462,0.000007496543,0.97286856,0.00018522673,0.000016590098,0.00007105634],"about_ca_topic_score_codex":0.00002463156,"about_ca_topic_score_gemma":0.000007014611,"teacher_disagreement_score":0.006425792,"about_ca_system_score_codex":0.000009579165,"about_ca_system_score_gemma":0.00010298436,"threshold_uncertainty_score":0.28068474},"labels":[],"label_agreement":null},{"id":"W4401701205","doi":"10.3390/app14167272","title":"An Extensive Parametric Analysis and Optimization to Design Unidimensional Periodic Acoustic Metamaterials for Noise Attenuation","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"FedDev Ontario; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Acoustics; Attenuation; Parametric statistics; Computer science; Physics; Mathematics; Optics; Statistics","score_opus":0.03717162158986523,"score_gpt":0.29957260146016595,"score_spread":0.26240097987030075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401701205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17239863,0.00014366799,0.82664955,0.000070613,0.00009210285,0.00046972322,0.000017454257,0.00011384362,0.00004442255],"genre_scores_gemma":[0.84942704,0.000015763206,0.15029636,0.000036086545,0.000045193618,0.00013832195,0.000016370532,0.000012882696,0.00001194282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887794,0.000028522863,0.00017261776,0.000355206,0.00031595875,0.00024974387],"domain_scores_gemma":[0.9992185,0.00045163115,0.000015260988,0.00011974455,0.0000780681,0.00011675709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000978897,0.00011607208,0.00018115758,0.00082029076,0.0001883728,0.00036964656,0.0001395051,0.000038812046,0.000047670997],"category_scores_gemma":[0.0001074907,0.000098307566,0.000025546733,0.0024991732,0.00010815729,0.00017281165,0.00002525228,0.000040997664,0.000013951664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007357236,0.0000047188387,0.000005020471,0.000023612783,0.000055507768,6.4778544e-7,0.0001758997,0.80959713,0.18877685,0.0002696616,0.000079911035,0.0010036716],"study_design_scores_gemma":[0.000060575643,0.0000815862,0.0003053905,0.000005554059,0.00020574551,0.0000010727717,0.00022976103,0.992259,0.0062145493,0.00049585215,0.000012305495,0.00012857719],"about_ca_topic_score_codex":0.0000055633936,"about_ca_topic_score_gemma":0.0000018526937,"teacher_disagreement_score":0.6770284,"about_ca_system_score_codex":0.000055785942,"about_ca_system_score_gemma":0.000054145392,"threshold_uncertainty_score":0.40088663},"labels":[],"label_agreement":null},{"id":"W4401701313","doi":"10.3390/app14167266","title":"Surveillance Unmanned Ground Vehicle Path Planning with Path Smoothing and Vehicle Breakdown Recovery","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Institute of Machinery and Materials; National Research Foundation","keywords":"Path (computing); Computer science; Computer network","score_opus":0.01705734566672869,"score_gpt":0.24308049438515353,"score_spread":0.22602314871842483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401701313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64866304,0.0019809033,0.33719954,0.001245858,0.0007943773,0.0003389411,0.0000084060375,0.0009955475,0.008773409],"genre_scores_gemma":[0.93070734,0.00001704401,0.06871209,0.0003002006,0.000099810495,0.000022506056,0.0000021601575,0.000015559239,0.00012331305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735576,0.00006237638,0.00025735685,0.0010473403,0.0006615579,0.00061562454],"domain_scores_gemma":[0.99880934,0.0005301208,0.000089947804,0.0003852817,0.00003175395,0.00015356576],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001459116,0.00025169988,0.0002543892,0.00018170194,0.00061824074,0.0014450822,0.0009073384,0.000075876174,0.0000032401333],"category_scores_gemma":[0.00002784481,0.00019241666,0.000031864995,0.0012641905,0.00036812175,0.00096378225,0.0002748974,0.00026929996,0.000038364506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016920094,0.000312024,0.07684068,0.000681445,0.00032730287,0.0026351064,0.038302224,0.096085064,0.036225878,0.2721246,0.0066754096,0.4696211],"study_design_scores_gemma":[0.00054907345,0.00055622205,0.058520395,0.00047792474,0.000013657445,0.00022072303,0.0008252005,0.927837,0.00074947695,0.008128123,0.0011829333,0.0009392806],"about_ca_topic_score_codex":0.00008995213,"about_ca_topic_score_gemma":0.0000032470305,"teacher_disagreement_score":0.83175194,"about_ca_system_score_codex":0.00004909641,"about_ca_system_score_gemma":0.00018643345,"threshold_uncertainty_score":0.9995915},"labels":[],"label_agreement":null},{"id":"W4401888856","doi":"10.3390/app14167354","title":"Development of an Adaptive Force Control Strategy for Soft Robotic Gripping","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.04135298603854901,"score_gpt":0.2720193189336463,"score_spread":0.23066633289509728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401888856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039752997,0.00019434842,0.9560219,0.000020829335,0.00010129111,0.00032925475,0.0000048211346,0.00017119202,0.0034033677],"genre_scores_gemma":[0.93958664,0.0000013073087,0.060207047,0.000011084175,0.000034033794,0.00012906441,0.00000279769,0.000008512285,0.000019537587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994106,0.0000015849913,0.00015754875,0.00016067868,0.000106194064,0.00016334759],"domain_scores_gemma":[0.99976575,0.0000987054,0.000014558253,0.000067019246,0.00001529585,0.000038678554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019317908,0.00007397925,0.00009566701,0.000054387678,0.000120576915,0.000058214944,0.0001554813,0.000025672394,0.000005585076],"category_scores_gemma":[0.0000027066044,0.00006433779,0.000020322186,0.00022265674,0.00006991556,0.00007427505,0.000007958561,0.00003803794,0.0000071336835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017177755,0.000008570996,0.0000016941357,0.000042795742,0.00001980606,1.5138063e-7,0.0003771699,0.8009986,0.029950729,0.1418926,0.000035768895,0.026670378],"study_design_scores_gemma":[0.000100943245,0.000032290875,0.000094326795,0.000020893074,0.000012956422,8.49952e-7,0.0006384568,0.9815732,0.009716114,0.0071770195,0.00050932873,0.00012357553],"about_ca_topic_score_codex":0.0000013080972,"about_ca_topic_score_gemma":0.000012242589,"teacher_disagreement_score":0.8998336,"about_ca_system_score_codex":0.000018040082,"about_ca_system_score_gemma":0.00007222036,"threshold_uncertainty_score":0.2623619},"labels":[],"label_agreement":null},{"id":"W4401895132","doi":"10.3390/app14177502","title":"Physicochemical Characterization of Carao Honey Flour (Cassia grandis) and Its Effects on the Sensory Attributes in a Cookie","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Food Science and Nutritional Studies","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Universidad de Extremadura; Junta de Extremadura; Consejo Superior Universitario Centroamericano; International Development Research Centre","keywords":"Food science; Cassia; Chemistry; Biology; Medicine","score_opus":0.029268366837509458,"score_gpt":0.2682263730261636,"score_spread":0.23895800618865412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401895132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937578,0.00041614063,0.0000036355646,0.0050195386,0.00016063338,0.00020719747,0.000012198827,0.000021760208,0.00040109592],"genre_scores_gemma":[0.99957895,0.000033875604,0.000008575479,0.00025683639,0.00007724052,0.000030222913,0.000003174666,0.000003094665,0.00000802148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991701,0.000026472082,0.00010894788,0.00024228044,0.00028760318,0.00016455262],"domain_scores_gemma":[0.99946135,0.00042349214,0.00002786916,0.000048905094,0.000016190175,0.000022187813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314928,0.00008186276,0.00012257462,0.00007553016,0.00020076615,0.000061432904,0.00011203354,0.000027935752,0.0000025190086],"category_scores_gemma":[0.00004106158,0.00005088577,0.000023174816,0.00058423576,0.00029295898,0.00010317546,0.00002871396,0.00008296864,0.000011001474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024194942,0.000025613897,0.0002791953,0.00006436143,0.0000037681332,0.0000013097639,0.00054423726,0.0000027081533,0.988072,0.009579001,0.00011906034,0.0012845533],"study_design_scores_gemma":[0.0001651822,0.0001486976,0.017720198,0.00022972035,0.000009278015,0.0000028153563,0.00019887908,0.0010416707,0.9776024,0.0025917266,0.00018847542,0.00010096394],"about_ca_topic_score_codex":0.0000060222255,"about_ca_topic_score_gemma":0.000004297743,"teacher_disagreement_score":0.017441003,"about_ca_system_score_codex":0.000016501985,"about_ca_system_score_gemma":0.00001220774,"threshold_uncertainty_score":0.20750615},"labels":[],"label_agreement":null},{"id":"W4401910418","doi":"10.3390/app14177577","title":"A Route to Selective Arsenate Adsorption in Phosphate Solutions via Ternary Metal Biopolymer Composites","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biopolymer; Ternary operation; Materials science; Arsenate; Phosphate; Adsorption; Composite material; Metal; Chemical engineering; Chemistry; Arsenic; Metallurgy; Organic chemistry; Polymer; Computer science","score_opus":0.015267367389956776,"score_gpt":0.24471968853974263,"score_spread":0.22945232114978587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401910418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596505,0.0002120244,0.0054892325,0.0017677695,0.0004131741,0.0004671722,0.000025556237,0.00023951095,0.031735014],"genre_scores_gemma":[0.99683243,0.000015008364,0.001615693,0.0005168617,0.00004126188,0.000035130903,0.000005335352,0.00000957039,0.0009287236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982367,0.00003244486,0.00024260719,0.0005881068,0.00044383045,0.00045631386],"domain_scores_gemma":[0.99967235,0.000036513276,0.000040022893,0.00011398132,0.0000041696694,0.00013297638],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045202635,0.00017479988,0.00014720122,0.0002048512,0.00020407586,0.00012934353,0.00029237333,0.000059818103,0.00088539516],"category_scores_gemma":[0.000005127093,0.00014000351,0.000068305046,0.0017849907,0.00045439973,0.0003535196,0.0001921213,0.00014733778,0.0031718342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023998931,0.00007221464,0.0017655521,0.0000035291682,0.000011078686,0.00000991934,0.0005686523,0.002005556,0.97571564,0.006580306,0.00063865783,0.012604925],"study_design_scores_gemma":[0.0011505721,0.0006822412,0.093641005,0.00015184608,0.00010228721,0.00030755787,0.0012652138,0.23717198,0.6015746,0.021844769,0.039864823,0.002243094],"about_ca_topic_score_codex":0.00037857858,"about_ca_topic_score_gemma":0.00035190413,"teacher_disagreement_score":0.374141,"about_ca_system_score_codex":0.00020198396,"about_ca_system_score_gemma":0.000027749238,"threshold_uncertainty_score":0.9976043},"labels":[],"label_agreement":null},{"id":"W4401958366","doi":"10.3390/app14177594","title":"Experimental Forced Convection Study Using a Triply Periodic Minimal Surface Porous Structure with a Nanofluid: Comparison with Numerical Modeling","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Materials science; Heat sink; Nusselt number; Porosity; Heat flux; Mechanics; Forced convection; Thermodynamics; Convection; Composite material; Heat transfer; Nanoparticle; Nanotechnology; Physics; Reynolds number","score_opus":0.02250869589858794,"score_gpt":0.2639425206167221,"score_spread":0.24143382471813413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401958366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8397516,0.00029733844,0.1588808,0.000005848547,0.000103356455,0.00036686638,0.0000027788776,0.00025223935,0.00033918113],"genre_scores_gemma":[0.9931771,0.0000012744449,0.006733362,0.000008689789,0.000033159744,0.000014994929,0.000003703222,0.000024849494,0.0000028333945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888307,0.000014402375,0.00018043655,0.00033011343,0.0003416285,0.00025034577],"domain_scores_gemma":[0.9998225,0.000016174765,0.000007642148,0.000078629375,0.000015677591,0.000059394406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102877595,0.00017999302,0.00019613722,0.00007754891,0.0002518409,0.0002477516,0.000103591214,0.000043445874,0.000025696145],"category_scores_gemma":[5.6614863e-7,0.00012837852,0.00001417203,0.0006064825,0.00008802716,0.00021697873,0.000008538666,0.00012813933,0.0000019956617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052200125,0.000030093706,0.00042777372,0.000018201388,0.000025604053,0.000005091717,0.0069353227,0.90958434,0.082701854,0.00009067953,0.000004063472,0.00012477144],"study_design_scores_gemma":[0.0004107637,0.0004077746,0.000035779733,0.000024002375,0.000031638254,0.000023973362,0.010554817,0.95951307,0.02878748,0.0000041098024,0.000004158825,0.00020245457],"about_ca_topic_score_codex":0.00006855934,"about_ca_topic_score_gemma":0.000020112206,"teacher_disagreement_score":0.15342554,"about_ca_system_score_codex":0.00007484616,"about_ca_system_score_gemma":0.000076477016,"threshold_uncertainty_score":0.5235124},"labels":[],"label_agreement":null},{"id":"W4401975816","doi":"10.3390/app14167325","title":"Assessing the Suitability of CCME WQI as a Groundwater Quality Monitoring Tool: An Environmental Ergonomics Case Analysis","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Groundwater; Engineering; Geotechnical engineering","score_opus":0.06592673672030518,"score_gpt":0.3674043972887235,"score_spread":0.3014776605684183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401975816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950885,0.000028974546,0.0017137415,0.00020477489,0.00016952227,0.00016368639,0.000012593419,0.000042515087,0.0025756594],"genre_scores_gemma":[0.9982213,0.0000045148104,0.0015520527,0.00006028169,0.00004996202,0.000022364688,0.0000046002424,0.000005643729,0.00007928133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788994,0.00027999506,0.00043702236,0.0005588315,0.0005291938,0.00030503666],"domain_scores_gemma":[0.9991546,0.0002690709,0.00010388888,0.00038776972,0.0000020500365,0.00008260759],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004447488,0.00015148366,0.00019800873,0.000064368025,0.0005689226,0.0004851711,0.00041153302,0.00005249403,0.0009209484],"category_scores_gemma":[0.000012299911,0.00010023288,0.00012454239,0.0006762471,0.0011568667,0.0008586965,0.00024330699,0.00014096127,0.00011053878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045639194,0.0009255913,0.684006,0.000076987315,0.00039962947,0.00009093443,0.024137342,0.025534881,0.19303264,0.019478051,0.00004799954,0.05222432],"study_design_scores_gemma":[0.00019049476,0.00013447522,0.9073108,0.0000117469635,0.00035034583,0.000082366714,0.02197843,0.009430085,0.0517806,0.006452779,0.0016587214,0.0006191973],"about_ca_topic_score_codex":0.0026568586,"about_ca_topic_score_gemma":0.0001500906,"teacher_disagreement_score":0.22330478,"about_ca_system_score_codex":0.00022273201,"about_ca_system_score_gemma":0.000032012314,"threshold_uncertainty_score":0.9999924},"labels":[],"label_agreement":null},{"id":"W4401978678","doi":"10.3390/app14177618","title":"Comparison between Blockchain P2P Energy Trading and Conventional Incentive Mechanisms for Distributed Energy Resources—A Rural Microgrid Use Case Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Blockchain; Microgrid; Incentive; Business; Distributed generation; Environmental economics; Computer science; Economics; Computer security; Microeconomics; Renewable energy; Control (management); Engineering; Electrical engineering","score_opus":0.028269572918911395,"score_gpt":0.26196516590431834,"score_spread":0.23369559298540696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401978678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8162328,0.00033805674,0.18220356,0.00004023068,0.00045046821,0.00022010958,0.000081666774,0.00027957623,0.00015350348],"genre_scores_gemma":[0.99814737,0.000007640689,0.0013460485,0.000021158601,0.00018231645,0.00018013954,0.00004939415,0.000024145093,0.00004180649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985741,0.00003025944,0.00031780938,0.00040958944,0.00028989726,0.00037834336],"domain_scores_gemma":[0.99940443,0.0003097164,0.000037569313,0.00012709206,0.000017799159,0.000103411105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041740388,0.00022364852,0.00025823864,0.00021511513,0.0003490813,0.00038898623,0.0002107104,0.000054032393,0.000012479122],"category_scores_gemma":[0.000006199518,0.00021086576,0.000055298486,0.0005123928,0.00015603713,0.000115300776,0.00010988936,0.000081412254,0.0000012107173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008950118,0.00058484165,0.015205367,0.0003842136,0.0023540459,0.0009313295,0.008514198,0.27346557,0.021693649,0.5991389,0.018232923,0.05940544],"study_design_scores_gemma":[0.0012953155,0.0003807335,0.0014201233,0.00008589929,0.00030831696,0.000089232344,0.019961994,0.9195572,0.015172213,0.0057077482,0.03505541,0.00096579554],"about_ca_topic_score_codex":0.00033593425,"about_ca_topic_score_gemma":0.00024047303,"teacher_disagreement_score":0.64609164,"about_ca_system_score_codex":0.0000817112,"about_ca_system_score_gemma":0.000014230556,"threshold_uncertainty_score":0.85988563},"labels":[],"label_agreement":null},{"id":"W4402006580","doi":"10.3390/app14177629","title":"Special Issue: Recent Research in Occupational Exposure Assessments and Hazard Control Measures","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Environmental health; Hazard; Forensic engineering; Medicine; Engineering","score_opus":0.19035475474588165,"score_gpt":0.45194860112600804,"score_spread":0.2615938463801264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402006580","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46234143,0.00057772396,0.0006847384,0.029480359,0.0016402376,0.0012599666,0.000026067211,0.000092591625,0.5038969],"genre_scores_gemma":[0.99656034,0.00014205156,0.00095481117,0.0011300772,0.0009349016,0.000038600065,0.0000015232828,0.0000044330914,0.00023324577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773234,0.0001416891,0.00020191354,0.00041218285,0.001087992,0.00042389103],"domain_scores_gemma":[0.99945134,0.00028620515,0.000022003349,0.000090955284,0.000008165668,0.00014135582],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004534282,0.00008237802,0.00010863703,0.000104709194,0.00037797895,0.0001897672,0.00021267241,0.00005868588,0.001844579],"category_scores_gemma":[0.000050770355,0.00006595497,0.00001075707,0.0008007098,0.00078858365,0.00025207826,0.000092536786,0.00023898644,0.000472829],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015721894,0.00014137142,0.10136741,0.00006099278,0.0000071295617,0.00002030256,0.002920136,0.000586306,0.0011903129,0.021229079,0.21740425,0.6549155],"study_design_scores_gemma":[0.0004220411,0.00021502224,0.2733092,0.00004035339,0.000003232336,0.0000029478451,0.00088167074,0.0017881623,0.00016239488,0.0134343365,0.70956606,0.00017458107],"about_ca_topic_score_codex":0.00016052995,"about_ca_topic_score_gemma":0.000613269,"teacher_disagreement_score":0.6547409,"about_ca_system_score_codex":0.000164177,"about_ca_system_score_gemma":0.00015353618,"threshold_uncertainty_score":0.99906784},"labels":[],"label_agreement":null},{"id":"W4402193259","doi":"10.3390/app14177782","title":"Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"SWORD; Linguistics; Psychology; Computer science; Philosophy; World Wide Web","score_opus":0.1488573738870522,"score_gpt":0.48349617222660346,"score_spread":0.33463879833955124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402193259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98915863,0.0010503549,0.00028479364,0.0056449077,0.00029926977,0.0007981515,0.0000012381299,0.000027127138,0.0027355521],"genre_scores_gemma":[0.99682105,0.000012733986,0.0025192727,0.00038363747,0.00016869223,0.000045977376,0.0000020365924,0.0000039188594,0.00004266333],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988038,0.00003561217,0.000215716,0.00025418578,0.00053849077,0.00015220683],"domain_scores_gemma":[0.9993765,0.00022576257,0.00003826902,0.00012070294,0.00018090098,0.00005788117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015707043,0.00006299755,0.000095184216,0.00011358356,0.00019979109,0.00005044591,0.00008926028,0.000030353089,0.000046369896],"category_scores_gemma":[0.00018464895,0.000038217226,0.000018298988,0.0006650473,0.00020462512,0.000059217386,0.000032916574,0.00008502927,0.0000451335],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012302347,0.000034890527,0.0012076304,0.000087574415,0.0000058252945,0.0000010390187,0.022436986,0.00028012277,0.033643868,0.00227365,0.0005634505,0.93945265],"study_design_scores_gemma":[0.00021151155,0.0014625927,0.055665057,0.0010795337,0.0003266179,0.00009553387,0.20241974,0.34202713,0.37139034,0.019351771,0.005503101,0.0004670491],"about_ca_topic_score_codex":0.00040179022,"about_ca_topic_score_gemma":0.000061010418,"teacher_disagreement_score":0.9389856,"about_ca_system_score_codex":0.000030160432,"about_ca_system_score_gemma":0.00027381149,"threshold_uncertainty_score":0.15584533},"labels":[],"label_agreement":null},{"id":"W4402226779","doi":"10.3390/app14177861","title":"Effect of Pulsed Electric Field on the Drying Kinetics of Apple Slices during Vacuum-Assisted Microwave Drying: Experimental, Mathematical and Computational Intelligence Approaches","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Danmarks Tekniske Universitet","keywords":"Machine learning; Weibull distribution; Moisture; Artificial neural network; Mean squared error; Artificial intelligence; Support vector machine; Linear regression; Mathematics; Algorithm; Materials science; Computer science; Statistics; Composite material","score_opus":0.05560665527223388,"score_gpt":0.26629268600542416,"score_spread":0.21068603073319028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402226779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758893,0.00048156394,0.0003823883,0.00023311627,0.00002760052,0.00021395205,0.0000019482825,0.000028786868,0.0010417205],"genre_scores_gemma":[0.9994179,0.000007667358,0.00048319364,0.000025950696,0.000029437813,0.00002493143,0.000002128675,0.0000010589274,0.000007724015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899614,0.000047142734,0.00022898917,0.00027690022,0.0002774279,0.00017337846],"domain_scores_gemma":[0.9981671,0.0016798597,0.000068096655,0.000040300336,0.000012213869,0.00003241661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129834,0.00011770178,0.00016631276,0.000032129603,0.00019240356,0.00008963854,0.00023454518,0.000047268815,0.000021073603],"category_scores_gemma":[0.000033111468,0.000041324514,0.000050781062,0.00046169866,0.00016064993,0.000040077888,0.00006556112,0.00009684752,0.00000271077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026277172,0.000044087945,0.000031222997,0.00007065657,0.000010224652,3.5834864e-7,0.00040552096,0.0005182033,0.96639246,0.007778731,0.0000061836777,0.024716094],"study_design_scores_gemma":[0.00003377754,0.00063868356,0.00013080385,0.000077431425,0.000010608066,0.0000046017376,0.0009036511,0.024373276,0.9720728,0.0016669848,0.000004414918,0.00008295629],"about_ca_topic_score_codex":0.00001326713,"about_ca_topic_score_gemma":0.0000023900866,"teacher_disagreement_score":0.024633138,"about_ca_system_score_codex":0.000008214643,"about_ca_system_score_gemma":0.000006125859,"threshold_uncertainty_score":0.16851649},"labels":[],"label_agreement":null},{"id":"W4402282152","doi":"10.3390/app14177906","title":"Implementation of COGNIVITRA, an Information- and Communications-Technology-Based Solution for Dual-Task Training, in Patients at Risk of Cognitive Impairment","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Task (project management); Computer science; Dual (grammatical number); Cognition; Psychology; Medicine; Engineering; Neuroscience; Systems engineering","score_opus":0.025828992888528995,"score_gpt":0.3562347602086775,"score_spread":0.3304057673201485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402282152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642724,0.000076407116,0.0012904118,0.0002209229,0.00001769216,0.0013346974,0.00014493456,0.00001963415,0.00046807466],"genre_scores_gemma":[0.9977978,0.00003727639,0.0016484197,0.00004255075,0.0000035614448,0.0002418024,0.00022246329,0.0000032703588,0.000002870617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990875,0.00002849226,0.00030894618,0.0001492287,0.00025719806,0.00016861159],"domain_scores_gemma":[0.99940014,0.00018510602,0.0001233462,0.00010021079,0.00015117213,0.000040032475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087722024,0.000071175455,0.00013581078,0.000489081,0.0001237711,0.000019334158,0.00007958116,0.000039142655,0.000024644112],"category_scores_gemma":[0.00004912118,0.00006093541,0.000027298403,0.0005109007,0.00054636976,0.00021789978,0.000058509126,0.00006834551,0.0000020688954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029268014,0.00031429774,0.700542,0.00024529555,0.000060183087,1.7983754e-7,0.0055348855,0.0000020627635,0.0029869645,0.002389472,0.000044499022,0.28758752],"study_design_scores_gemma":[0.005943576,0.0039045636,0.9258488,0.00028448392,0.00016982821,0.0000012622796,0.023702994,0.0074776243,0.030647581,0.0017299801,0.00015233507,0.00013698272],"about_ca_topic_score_codex":0.000051930245,"about_ca_topic_score_gemma":0.000110182766,"teacher_disagreement_score":0.28745052,"about_ca_system_score_codex":0.00003949104,"about_ca_system_score_gemma":0.00024543327,"threshold_uncertainty_score":0.2484874},"labels":[],"label_agreement":null},{"id":"W4402319277","doi":"10.3390/app14177959","title":"An Ensemble Deep Neural Network-Based Method for Person Identification Using Electrocardiogram Signals Acquired on Different Days","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Retail Federation","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Artificial neural network; Identification (biology); Biology","score_opus":0.060574577376205474,"score_gpt":0.36709516691895633,"score_spread":0.30652058954275085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402319277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5260983,0.00033356372,0.4724209,0.0002618106,0.00024606558,0.00029488982,0.00000152207,0.00013775512,0.00020520382],"genre_scores_gemma":[0.9788965,0.0000039576184,0.020145101,0.00015306655,0.00065994536,0.000069374095,0.000021403997,0.000015256986,0.000035407113],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851364,0.000055841294,0.00018126368,0.0005173875,0.0003794747,0.00035239774],"domain_scores_gemma":[0.9993596,0.00024495748,0.00005656293,0.00019935636,0.0000381674,0.0001013721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009460384,0.00014297925,0.000249814,0.00019591105,0.000385818,0.00024610397,0.00014174018,0.00005573855,0.0000073872925],"category_scores_gemma":[0.000018633364,0.00010510835,0.00016679004,0.00073051336,0.000076761135,0.00007105264,0.0000062557365,0.00007462023,0.0000040668306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006517905,0.000068147936,0.0007621881,0.000057283625,0.00007168753,0.0000026918572,0.00019443798,0.06881695,0.8386425,0.00058897445,0.00008330133,0.09064666],"study_design_scores_gemma":[0.00016487902,0.0002992535,0.0006090909,0.000044217944,0.00027668366,0.0000022787412,0.00029154372,0.87922233,0.11850658,0.00042039194,0.000045977107,0.00011676025],"about_ca_topic_score_codex":0.000019728146,"about_ca_topic_score_gemma":0.000004525895,"teacher_disagreement_score":0.8104054,"about_ca_system_score_codex":0.000058501468,"about_ca_system_score_gemma":0.000049656002,"threshold_uncertainty_score":0.4286194},"labels":[],"label_agreement":null},{"id":"W4402395695","doi":"10.3390/app14188102","title":"Exploring Facial Somatosensory Distortion in Chronic Migraine: The Role of Laterality and Emotion Recognition—A Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Laterality; Somatosensory system; Migraine; Psychology; Audiology; Medicine; Neuroscience; Psychiatry","score_opus":0.1285262386232516,"score_gpt":0.33901744801119454,"score_spread":0.21049120938794294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402395695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972017,0.0006935864,0.0000049868113,0.00014009501,0.00004007736,0.00028864192,0.0000044451126,0.000026728323,0.0015997336],"genre_scores_gemma":[0.99961275,0.00007901733,0.000018951,0.000013748536,0.0001410753,0.00006390589,0.0000035574733,0.0000029564749,0.00006406163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921495,0.000020615667,0.00020428862,0.00021535419,0.0002310249,0.00011377903],"domain_scores_gemma":[0.99981785,0.00005513749,0.000028287253,0.000057575675,0.00002193393,0.000019245223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061884825,0.00006502568,0.00010969643,0.00009422751,0.00018819825,0.000038067385,0.000037445567,0.000019308334,0.000019250052],"category_scores_gemma":[0.000023719247,0.000042026073,0.000030669446,0.00027860695,0.00028685087,0.00012247093,0.000028636121,0.00010026968,0.0000068112786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048291422,0.00012540746,0.95164007,0.00013885152,0.000038829297,0.0000040754253,0.0125774555,0.00002151711,0.018751029,0.0010769654,0.000036002148,0.01554149],"study_design_scores_gemma":[0.00024156462,0.00014913056,0.99134815,0.000032005635,0.000014384598,0.000006873832,0.0047154482,0.0002072799,0.0012730593,0.0016723416,0.00029013652,0.000049621915],"about_ca_topic_score_codex":0.00024535682,"about_ca_topic_score_gemma":0.00038422897,"teacher_disagreement_score":0.039708067,"about_ca_system_score_codex":0.000051355906,"about_ca_system_score_gemma":0.00006185476,"threshold_uncertainty_score":0.17137736},"labels":[],"label_agreement":null},{"id":"W4402444602","doi":"10.3390/app14188149","title":"Machine Learning for Prediction of Cognitive Deterioration in Patients with Early Parkinson’s Disease","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; Ministerio de Ciencia e Innovación; Eusko Jaurlaritza","keywords":"Parkinson's disease; Medicine; Disease; Psychology; Internal medicine","score_opus":0.015490479991884718,"score_gpt":0.2523776681234926,"score_spread":0.2368871881316079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402444602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974558,0.00016626802,0.0011634399,0.000027029217,0.000047171816,0.0006675757,0.00010996584,0.000034306613,0.0003284591],"genre_scores_gemma":[0.99930394,0.000007473149,0.00033683985,0.000020047723,0.000017138967,0.00015027155,0.00012944452,0.0000076286524,0.000027226697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925977,0.0000100521565,0.00011336577,0.00025517208,0.00023986271,0.0001218062],"domain_scores_gemma":[0.9997632,0.00004986603,0.000038364047,0.00004059561,0.000035159926,0.00007282635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221794,0.00007889389,0.00010768265,0.00013162695,0.00007304488,0.000027415746,0.000028564924,0.000019029847,0.000011287022],"category_scores_gemma":[0.000024257946,0.00005452319,0.000025230878,0.00026252295,0.00007493376,0.000104408966,0.000009073672,0.000043469772,0.0000037644213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010439116,0.00024200292,0.9821134,0.00008416774,0.000035033034,0.0000060941047,0.00036268347,0.00002660309,0.00034769886,0.00052323047,0.0000032054393,0.0152119445],"study_design_scores_gemma":[0.001765778,0.00092029973,0.99180853,0.00023585101,0.0001140974,2.0469841e-7,0.00006676636,0.003888212,0.00043802813,0.00048020296,0.00022830818,0.000053709955],"about_ca_topic_score_codex":0.000013924567,"about_ca_topic_score_gemma":0.000005656915,"teacher_disagreement_score":0.015158234,"about_ca_system_score_codex":0.000027476673,"about_ca_system_score_gemma":0.00007871098,"threshold_uncertainty_score":0.22233911},"labels":[],"label_agreement":null},{"id":"W4402488123","doi":"10.3390/app14188213","title":"Prediction of Ship-Unloading Time Using Neural Networks","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Artificial neural network; Computer science; Artificial intelligence","score_opus":0.03470093518263542,"score_gpt":0.22817222103179233,"score_spread":0.1934712858491569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402488123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6130292,0.0023379633,0.19086093,0.000044550412,0.0030482193,0.0003032001,0.000029257244,0.0011495913,0.18919711],"genre_scores_gemma":[0.99895054,0.000006399392,0.00085532916,0.0000074605887,0.00013598902,0.00000191289,0.0000022783722,0.000006368359,0.00003370153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951285,0.0000028925906,0.00012157328,0.00010861658,0.00011392235,0.00014014097],"domain_scores_gemma":[0.9998718,0.00003517534,0.000010183047,0.000051928277,0.0000053782733,0.000025565865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021126578,0.000057777725,0.00007079624,0.00005899843,0.00006135638,0.00006323684,0.000083561405,0.000032218246,0.00010603788],"category_scores_gemma":[0.0000035352969,0.000049385955,0.000018020193,0.00027337743,0.000113197624,0.000069350834,0.000017001164,0.00006865084,0.000005496874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.2275984e-7,0.000002725844,0.00021189287,0.000048190905,0.000006926384,0.0000025829665,0.00011037207,0.9777423,0.006474565,0.0053217215,0.0005441061,0.009533979],"study_design_scores_gemma":[0.000013767429,0.00000762088,0.000119481585,0.000013063496,0.000009565283,0.0000036770111,0.000025263635,0.9985992,0.0004776674,0.000359144,0.00032445492,0.00004711719],"about_ca_topic_score_codex":0.0000077807845,"about_ca_topic_score_gemma":6.4585424e-7,"teacher_disagreement_score":0.3859214,"about_ca_system_score_codex":0.000012137705,"about_ca_system_score_gemma":0.000009122131,"threshold_uncertainty_score":0.20139009},"labels":[],"label_agreement":null},{"id":"W4402494288","doi":"10.3390/app14188189","title":"Clinical Measures for Tone Assessment in Adults with Central Nervous System Disorders—A Scoping Review in a Rehabilitation Context","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Muscle tone; Spasticity; Modified Ashworth scale; Context (archaeology); Medicine; Physical medicine and rehabilitation; Rehabilitation; Population; Acquired brain injury; Cerebral palsy; Spinal cord injury; Stroke (engine); Multiple sclerosis; Physical therapy; Psychology; Psychiatry; Spinal cord","score_opus":0.06705582330100056,"score_gpt":0.4315278917823975,"score_spread":0.3644720684813969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402494288","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013057547,0.98692065,0.00006956856,0.0010143414,0.00025022082,0.009735458,0.000006265579,0.00007087953,0.001802022],"genre_scores_gemma":[0.010267167,0.9869068,0.000768055,0.00035744844,0.000048634636,0.0015890085,0.000022952816,0.000027029962,0.000012870402],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962956,0.0002772402,0.001438502,0.0010239972,0.0004738988,0.000490818],"domain_scores_gemma":[0.998198,0.0010912075,0.00030719736,0.00024428684,0.000032058237,0.00012725302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022991307,0.00036771895,0.0021863189,0.00023480567,0.00007295642,0.000036057936,0.0002553745,0.00034255692,0.0000067521955],"category_scores_gemma":[0.00021601861,0.00020199102,0.00036159655,0.001251392,0.00048469377,0.000046337136,0.000050231138,0.00087396515,0.000013610532],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072032395,0.00018030829,0.00014369492,0.2606844,0.000034999768,0.000015251379,0.000075289296,0.0000061518613,5.877235e-8,0.0019979957,0.00012732574,0.7366625],"study_design_scores_gemma":[0.001490802,0.0016576987,0.00033696587,0.9642696,0.0008147519,0.000022350834,0.00065071153,0.00016571773,2.7797e-8,0.00012263325,0.03009283,0.00037591622],"about_ca_topic_score_codex":0.00002602757,"about_ca_topic_score_gemma":0.0005134662,"teacher_disagreement_score":0.7362866,"about_ca_system_score_codex":0.00013423778,"about_ca_system_score_gemma":0.00096241705,"threshold_uncertainty_score":0.8236955},"labels":[],"label_agreement":null},{"id":"W4402577460","doi":"10.3390/app14188287","title":"Alzheimer’s Multiclassification Using Explainable AI Techniques","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Iran Telecommunication Research Center; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; Ministry of Science and ICT, South Korea; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Psychology","score_opus":0.11531692364793643,"score_gpt":0.36214081461218106,"score_spread":0.24682389096424462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402577460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009422526,0.0008636375,0.95960027,0.0024691327,0.0005393143,0.0004346355,9.656438e-7,0.001285843,0.025383651],"genre_scores_gemma":[0.8748081,0.000016277674,0.12447546,0.00043445794,0.000098134304,0.000067187335,6.1444285e-7,0.000010070381,0.00008972224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978935,0.00003881457,0.00029479657,0.00078244496,0.00048872695,0.0005017312],"domain_scores_gemma":[0.99916184,0.00016281406,0.000056742498,0.00045335683,0.000071856884,0.00009340131],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011724883,0.00016955483,0.00013643173,0.0003251953,0.0006240259,0.0012632873,0.0013616383,0.00007403782,0.000028611346],"category_scores_gemma":[0.000031903637,0.00014664869,0.00005063457,0.0019513692,0.00037616192,0.001617572,0.00024021305,0.00016455041,0.000301563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001118617,0.000025295314,0.000015923455,0.000011030916,0.000008772464,0.000011163034,0.00090143806,0.00041287628,0.10053128,0.81307137,0.00063255907,0.08437716],"study_design_scores_gemma":[0.000012856942,0.000036261925,0.000009632597,0.000029632727,0.00000897185,0.000013197645,0.00047427256,0.4144246,0.52629286,0.04534183,0.013133186,0.00022268848],"about_ca_topic_score_codex":0.0001362131,"about_ca_topic_score_gemma":0.000012502137,"teacher_disagreement_score":0.86538553,"about_ca_system_score_codex":0.0000791145,"about_ca_system_score_gemma":0.00025529167,"threshold_uncertainty_score":0.9997735},"labels":[],"label_agreement":null},{"id":"W4402646336","doi":"10.3390/app14188405","title":"Design of Minimal Model-Free Control Structure for Fast Trajectory Tracking of Robotic Arms","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Trajectory; Control theory (sociology); Computer science; Tracking (education); Control (management); Control engineering; Artificial intelligence; Engineering; Physics; Psychology","score_opus":0.029108493405151578,"score_gpt":0.22913260993827167,"score_spread":0.20002411653312008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402646336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07433093,0.00088223023,0.92248887,0.000058887443,0.00047169538,0.00068597257,0.00004019545,0.00021563536,0.0008256079],"genre_scores_gemma":[0.9951073,0.0000018179192,0.0047616255,0.0000052554124,0.0000645253,0.00004009546,5.538424e-7,0.00001004121,0.00000876448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923867,0.000009113634,0.00025005493,0.00016299845,0.00014118399,0.00019795571],"domain_scores_gemma":[0.99961376,0.00018307232,0.000039113922,0.00012808648,0.000017779066,0.000018198578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036515432,0.00010221677,0.00024738113,0.00012357305,0.000047842386,0.000019213781,0.0003566413,0.00015209244,0.0000051966776],"category_scores_gemma":[0.000019885914,0.00008244201,0.000047812136,0.00023685899,0.00020724886,0.00006777858,0.000008590326,0.00011582229,5.128216e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016663258,0.000003201722,0.0000063921984,0.00006755846,0.000031500804,2.8619885e-7,0.00023454866,0.70726067,0.27369428,0.015024352,0.000082148625,0.003578379],"study_design_scores_gemma":[0.00046732533,0.000074817,0.0000098541295,0.00003886674,0.000037619022,0.0000018356172,0.00027476333,0.92828196,0.063236326,0.007465428,0.000014613457,0.00009660318],"about_ca_topic_score_codex":0.0000021826133,"about_ca_topic_score_gemma":0.0000034209502,"teacher_disagreement_score":0.92077637,"about_ca_system_score_codex":0.000014597206,"about_ca_system_score_gemma":0.000058594112,"threshold_uncertainty_score":0.33618876},"labels":[],"label_agreement":null},{"id":"W4402824478","doi":"10.3390/app14198577","title":"Role of Non-Invasive Hemodynamic Forces through Four-Dimensional-Flow Magnetic Resonance Imaging (4D-Flow MRI) in Evaluating Mitral Regurgitation with Preserved Ejection Fraction: Seeking Novel Biomarkers","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; Concordia University; University of Calgary","funders":"","keywords":"Medicine; Magnetic resonance imaging; Ejection fraction; Cardiology; Mitral regurgitation; Hemodynamics; Internal medicine; Nuclear magnetic resonance; Radiology; Physics; Heart failure","score_opus":0.01771847158047518,"score_gpt":0.316902356983704,"score_spread":0.2991838854032288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402824478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892818,0.004341211,0.0020747501,0.00021345749,0.0001352704,0.0007082883,0.000018210621,0.000051218372,0.0031758337],"genre_scores_gemma":[0.9735783,0.000032350188,0.026106203,0.000045194356,0.000054452063,0.00010961661,0.00003162545,0.000016554093,0.000025734547],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998248,0.000024612826,0.00026778382,0.00052965514,0.0006588769,0.00027110372],"domain_scores_gemma":[0.99933624,0.00025116236,0.000102298545,0.0001614389,0.000094998315,0.000053834818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037959818,0.00017110832,0.00024464502,0.00019240977,0.0002055462,0.000089604364,0.00007641631,0.000039382616,0.000023659495],"category_scores_gemma":[0.000039175862,0.00013591922,0.00020317208,0.0009046868,0.0002603579,0.0003827643,0.000032987784,0.00009957954,0.0000034972827],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00144552,0.000455984,0.6250962,0.0005736975,0.0004547008,0.000036955415,0.0018356554,0.051410787,0.25049764,0.00061136327,0.00009260838,0.06748886],"study_design_scores_gemma":[0.0015836823,0.00028961248,0.32426324,0.00082230807,0.00028598358,0.000019312869,0.0025702717,0.6669645,0.0020474466,0.00096510304,0.000021145172,0.00016744708],"about_ca_topic_score_codex":0.00036520063,"about_ca_topic_score_gemma":0.000088378896,"teacher_disagreement_score":0.6155537,"about_ca_system_score_codex":0.00014002118,"about_ca_system_score_gemma":0.00034765145,"threshold_uncertainty_score":0.5542625},"labels":[],"label_agreement":null},{"id":"W4402841739","doi":"10.3390/app14188558","title":"Energy-Efficient Industrial Internet of Things in Green 6G Networks","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internet of Things; Computer science; Internet privacy","score_opus":0.02897071969017162,"score_gpt":0.2373564041487099,"score_spread":0.20838568445853828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402841739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20343964,0.0005935761,0.7431333,0.0006715074,0.012917109,0.00016894501,8.9591836e-8,0.00027778398,0.038798068],"genre_scores_gemma":[0.99657434,0.0000023633634,0.002508498,0.0001657411,0.00063187577,0.0000055585115,4.4218928e-7,0.0000041448898,0.00010703117],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984861,0.000030746105,0.00029470018,0.00047368536,0.00036109632,0.00035369123],"domain_scores_gemma":[0.9994945,0.00019312241,0.00006289388,0.0001823399,0.00001537576,0.00005179077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011511274,0.00011639525,0.00015842162,0.00027732857,0.00007811335,0.00025969173,0.0012479415,0.00007969858,0.0000032242006],"category_scores_gemma":[0.0000090321355,0.00009360031,0.000044031083,0.0017207133,0.00020157381,0.00021586695,0.00049666304,0.00019890298,0.000010622344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007327163,0.00007406593,0.0007237873,0.000020975376,0.000014165307,0.000026186743,0.007669044,0.011557925,0.0006609479,0.33397865,0.0062656174,0.6390013],"study_design_scores_gemma":[0.00010143408,0.000042067742,0.00008180173,0.000074941476,0.0000018564696,0.000003793823,0.000043195832,0.99109584,0.0012904756,0.0034790088,0.00365603,0.00012955302],"about_ca_topic_score_codex":0.00038726273,"about_ca_topic_score_gemma":0.0000057539346,"teacher_disagreement_score":0.9795379,"about_ca_system_score_codex":0.000032290143,"about_ca_system_score_gemma":0.00012485097,"threshold_uncertainty_score":0.38169098},"labels":[],"label_agreement":null},{"id":"W4402856261","doi":"10.3390/app14198651","title":"Interruption Cost Estimation for Value-Based Reliability Investment in Emerging Smart Grid Resources","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Investment value; Reliability (semiconductor); Estimation; Business; Reliability engineering; Computer science; Engineering; Finance; Systems engineering","score_opus":0.022434084901474607,"score_gpt":0.27559884235136367,"score_spread":0.2531647574498891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402856261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6645089,0.00063369906,0.31300956,0.0011356929,0.0027594364,0.0018647762,0.000024875493,0.00081257155,0.015250534],"genre_scores_gemma":[0.99326086,0.000004944386,0.006153476,0.00010798086,0.00004615786,0.00039330535,0.000007240347,0.000009409656,0.000016624535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989412,0.000020578067,0.0002785125,0.0003206866,0.00018716227,0.00025185174],"domain_scores_gemma":[0.9995748,0.00019868794,0.000020584524,0.00014951498,0.000013709611,0.00004270295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015101488,0.00011353311,0.00013003658,0.00014947017,0.00008691535,0.00011282655,0.00017553124,0.000048469752,0.0000067903143],"category_scores_gemma":[0.00007172732,0.00009702411,0.000042553336,0.0004481145,0.00014756195,0.00016518266,0.000018217746,0.00009167562,0.000019070165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018102517,0.00003199442,0.00033396995,0.0008454255,0.000007000071,0.000001060869,0.0018577003,0.95592415,0.0037720825,0.023840053,0.0015826393,0.011785839],"study_design_scores_gemma":[0.0001407548,0.000034133856,0.00060096575,0.00021625661,0.0000055751116,5.540062e-7,0.00024666003,0.9672582,0.0033333024,0.005209209,0.02281417,0.00014021376],"about_ca_topic_score_codex":0.000042120682,"about_ca_topic_score_gemma":0.000055166587,"teacher_disagreement_score":0.328752,"about_ca_system_score_codex":0.0001922967,"about_ca_system_score_gemma":0.00004113261,"threshold_uncertainty_score":0.39565283},"labels":[],"label_agreement":null},{"id":"W4402862906","doi":"10.3390/app14198640","title":"Application of Thermal Batteries in Greenhouses","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Architectural engineering; Environmental science; Engineering","score_opus":0.01474942403402014,"score_gpt":0.22409114148198098,"score_spread":0.20934171744796085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402862906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939514,0.00030717012,0.000022232674,0.0010888904,0.00003518084,0.00012017234,0.000005286247,0.00014377372,0.0043259137],"genre_scores_gemma":[0.99976206,0.000015404496,0.00005623984,0.00008005468,0.00002909971,0.000041412655,0.0000021964197,4.1694986e-7,0.000013139523],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936634,0.000010655211,0.00013868563,0.00021541101,0.00011396953,0.00015492793],"domain_scores_gemma":[0.99978715,0.00013113383,0.000027340702,0.000033051096,0.0000071604995,0.000014168899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640024,0.00006436739,0.00009718152,0.00002640916,0.00007740805,0.00002708929,0.0002679136,0.0000592902,0.000097341974],"category_scores_gemma":[0.0000054695984,0.000023219141,0.000025185498,0.0005914159,0.00032615877,0.00007750454,0.00003873909,0.00006436449,0.00004568883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060623356,0.000020944404,0.018510273,0.000007766793,0.0000024228639,0.0000010587447,0.00007517151,0.000010636119,0.72545016,0.040633794,0.000027305934,0.21525438],"study_design_scores_gemma":[0.00020403592,0.00036773062,0.8241429,0.00006826917,0.000018766408,0.000008213574,0.0023265998,0.0024381392,0.12772733,0.029886078,0.012357607,0.0004543536],"about_ca_topic_score_codex":0.00011010595,"about_ca_topic_score_gemma":0.0008150356,"teacher_disagreement_score":0.8056326,"about_ca_system_score_codex":0.0000052658065,"about_ca_system_score_gemma":0.0000063099023,"threshold_uncertainty_score":0.12017455},"labels":[],"label_agreement":null},{"id":"W4402987412","doi":"10.3390/app14198806","title":"Fatigue and Ultimate Strength Evaluation of GFRP-Reinforced, Laterally-Restrained, Full-Depth Precast Deck Panels with Developed UHPFRC-Filled Transverse Closure Strips","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Precast concrete; Deck; Structural engineering; Transverse plane; Materials science; Reinforced concrete; Geotechnical engineering; Engineering","score_opus":0.04706015226869114,"score_gpt":0.28061315040979845,"score_spread":0.2335529981411073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402987412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392426,0.00015967569,0.0013053503,0.000022786893,0.00014222605,0.00064006395,0.000029947147,0.0002813256,0.0034943777],"genre_scores_gemma":[0.99415356,0.00003112068,0.005638397,0.00000534933,0.000026837524,0.00006185533,0.000025625037,0.000026001766,0.00003123873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800384,0.000026314463,0.0003829718,0.00038448148,0.0008281752,0.00037420832],"domain_scores_gemma":[0.9994473,0.000101323276,0.00006302813,0.00018225095,0.0000942575,0.0001118692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110149,0.0002993652,0.00027980225,0.00019477894,0.00013640162,0.00017496073,0.0002764754,0.00010754417,0.00011380802],"category_scores_gemma":[0.000019448356,0.00022289048,0.00004475664,0.0006258169,0.00031289307,0.00040625408,0.000024571314,0.00020298979,0.000007806722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013298735,0.0000016294546,0.00045784848,0.00041887796,0.00021823855,0.000017329141,0.0071629896,0.33035472,0.57645476,0.006067738,0.000059608778,0.07865325],"study_design_scores_gemma":[0.0031784114,0.00039593276,0.011979587,0.00042585752,0.00050295854,0.00010785932,0.0027921223,0.67955405,0.29945493,0.0001921392,0.00021688936,0.001199272],"about_ca_topic_score_codex":0.00002195677,"about_ca_topic_score_gemma":0.000026603078,"teacher_disagreement_score":0.3491993,"about_ca_system_score_codex":0.000053383545,"about_ca_system_score_gemma":0.00016949301,"threshold_uncertainty_score":0.90892094},"labels":[],"label_agreement":null},{"id":"W4403040320","doi":"10.3390/app14198840","title":"Robust Federated Learning for Mitigating Advanced Persistent Threats in Cyber-Physical Systems","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Computer science; Cyber threats; Computer security","score_opus":0.03366325201759853,"score_gpt":0.26338809518468914,"score_spread":0.2297248431670906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403040320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86821026,0.0013686579,0.11346628,0.0005762893,0.0013764831,0.0006811055,7.5043374e-7,0.0005189197,0.013801254],"genre_scores_gemma":[0.9963027,0.000017163577,0.0032586805,0.000038019447,0.00013812371,0.00010699312,0.000001104016,0.0000054631305,0.00013173412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998649,0.00003727879,0.00017520574,0.0005471041,0.00027369073,0.00031772512],"domain_scores_gemma":[0.99952376,0.00025868483,0.000044452114,0.000093297764,0.000028550765,0.00005122603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006103242,0.00011134302,0.0001418712,0.000116860385,0.0005035931,0.0008416745,0.00034964073,0.000042967295,0.0000022674803],"category_scores_gemma":[0.000020864887,0.000093430936,0.00006541129,0.00092977774,0.00010100528,0.00036204106,0.0000916513,0.00018771329,0.000019953737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013066307,0.000051981402,0.000041640684,0.00011592249,0.000013680735,0.000009948622,0.0038601286,0.5135517,0.016070887,0.28683886,0.00017806696,0.17925411],"study_design_scores_gemma":[0.000120993915,0.00014042562,0.00001886559,0.000101625075,0.00000316608,0.000008711434,0.00059840066,0.9929219,0.0021241745,0.002892742,0.0009301871,0.00013880148],"about_ca_topic_score_codex":0.000021131253,"about_ca_topic_score_gemma":0.000017243263,"teacher_disagreement_score":0.4793702,"about_ca_system_score_codex":0.000056049295,"about_ca_system_score_gemma":0.0000625477,"threshold_uncertainty_score":0.81162864},"labels":[],"label_agreement":null},{"id":"W4403102469","doi":"10.3390/app14198922","title":"Revolutionizing Time Series Data Preprocessing with a Novel Cycling Layer in Self-Attention Mechanisms","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Cycling; Computer science; Geography","score_opus":0.03433255819010886,"score_gpt":0.2545059368687133,"score_spread":0.22017337867860445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403102469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023669714,0.0003265889,0.96775675,0.00058254163,0.00010632423,0.00014171022,0.0000036988463,0.00040799828,0.0070047025],"genre_scores_gemma":[0.6986417,0.0000057709326,0.30110908,0.000034631066,0.000037675363,0.000009220597,0.000004571007,0.000006298557,0.00015102766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998139,0.000013969947,0.00024587617,0.0008782214,0.00040332996,0.00031960395],"domain_scores_gemma":[0.99935496,0.000053783453,0.00008119175,0.00044113802,0.000027356373,0.00004157145],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001403267,0.00012885634,0.00015294706,0.00020036114,0.00043369853,0.0011198496,0.0011339486,0.00003579754,0.000010362239],"category_scores_gemma":[0.000015278172,0.00009722505,0.000022159584,0.0020086463,0.000099642326,0.002336427,0.0005315253,0.000117641044,0.000031576026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016680122,0.00015457973,0.00058514526,0.00023944787,0.00009574694,0.000039606886,0.0043204958,0.010476225,0.2295044,0.68777245,0.00012448757,0.066670746],"study_design_scores_gemma":[0.00009053492,0.00004221359,0.0002450245,0.00020810448,0.000018601486,0.000039882154,0.00044988494,0.9908173,0.0014309081,0.005970624,0.00045722155,0.00022967583],"about_ca_topic_score_codex":0.000023893015,"about_ca_topic_score_gemma":0.000047781476,"teacher_disagreement_score":0.9803411,"about_ca_system_score_codex":0.00003662436,"about_ca_system_score_gemma":0.00014643608,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W4403189455","doi":"10.3390/app14198971","title":"Skilled Workers’ Perspectives on Utilizing a Passive Shoulder Exoskeleton in Construction","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo; Conestoga College","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Exoskeleton; Construction engineering; Business; Medicine; Physical medicine and rehabilitation; Engineering","score_opus":0.011964201379892651,"score_gpt":0.2555103909580795,"score_spread":0.24354618957818683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403189455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91247255,0.00095536,0.007024445,0.00082019233,0.00094865955,0.00034324723,0.0000020856617,0.00039754165,0.077035904],"genre_scores_gemma":[0.9962968,0.000049057868,0.003545195,0.000015045119,0.000034576748,0.000023694345,4.3059424e-7,0.0000083304,0.000026824158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993438,0.000008002356,0.000116020805,0.00021439338,0.00015762975,0.000160156],"domain_scores_gemma":[0.9997662,0.00011931488,0.000008806699,0.0000681997,0.000009935722,0.000027574557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015727052,0.00008459139,0.00008178487,0.00018963801,0.00007246485,0.00009220203,0.00008407823,0.0000449207,0.000025764904],"category_scores_gemma":[0.000014387664,0.00006776969,0.000027106084,0.00053709815,0.00024915684,0.00006172409,0.000011686399,0.00013065532,0.000021883658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007089476,0.0000389198,0.0007255287,0.00008514263,0.000022536602,0.000007514913,0.018451184,0.28903738,0.007283896,0.6369182,0.0003921599,0.047030453],"study_design_scores_gemma":[0.0010130723,0.0003530175,0.010541985,0.00083283003,0.000035213518,0.000025517742,0.32508585,0.5741243,0.014296177,0.0671995,0.00511838,0.0013742282],"about_ca_topic_score_codex":0.0000027273995,"about_ca_topic_score_gemma":0.000005499987,"teacher_disagreement_score":0.56971866,"about_ca_system_score_codex":0.000062651314,"about_ca_system_score_gemma":0.000027983398,"threshold_uncertainty_score":0.27635676},"labels":[],"label_agreement":null},{"id":"W4403297523","doi":"10.3390/app14209209","title":"How Climate Change Will Shape Pesticide Application in Quebec’s Golf Courses: Insights with Deep Learning Based on Assessing CMIP5 and CMIP6","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Université Laval","funders":"","keywords":"Climate change; Environmental science; Climatology; Environmental resource management; Geology; Oceanography","score_opus":0.02040144406419242,"score_gpt":0.2440383470248298,"score_spread":0.22363690296063737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403297523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326545,0.0005871946,0.00034973244,0.00284823,0.000023227023,0.00025520864,0.0000021677292,0.00009310223,0.002575659],"genre_scores_gemma":[0.9991665,0.00011856442,0.0001902912,0.00027976453,0.00011815668,0.00008213596,0.000019140083,0.0000017014409,0.000023737464],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984608,0.00006169982,0.00015816977,0.0005966256,0.00037833495,0.00034432128],"domain_scores_gemma":[0.9993057,0.00045198915,0.00008015638,0.000049501017,0.000024954576,0.00008766875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004646714,0.00017482556,0.00021262534,0.00007247898,0.00045050826,0.00082487357,0.0001985861,0.00006977147,0.000020619193],"category_scores_gemma":[0.000024980292,0.00006519048,0.00003333299,0.0010840963,0.0002554923,0.0004707987,0.000040778745,0.00018059176,0.0000078922685],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047836988,0.00011904928,0.08207682,0.00007310757,0.000015340562,0.000042804342,0.0006983215,0.0033362017,0.034095597,0.021781249,0.000009711066,0.857704],"study_design_scores_gemma":[0.00016721005,0.00032249463,0.5694695,0.00024242188,0.00004953346,0.000004617559,0.002894385,0.42158327,0.00045453856,0.0009331609,0.0034116935,0.00046719334],"about_ca_topic_score_codex":0.0010113281,"about_ca_topic_score_gemma":0.017265134,"teacher_disagreement_score":0.8572368,"about_ca_system_score_codex":0.000035439025,"about_ca_system_score_gemma":0.000021575246,"threshold_uncertainty_score":0.96343493},"labels":[],"label_agreement":null},{"id":"W4403297797","doi":"10.3390/app14209216","title":"Recurrence Quantification Analysis Based Methodology in Automatic Aerobic Threshold Detection: Applicability and Accuracy across Age Groups, Exercise Protocols and Health Conditions","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Sapienza Università di Roma","keywords":"Computer science; Medicine","score_opus":0.17240061451302727,"score_gpt":0.4515719925826657,"score_spread":0.27917137806963843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403297797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95655876,0.00029838184,0.027408333,0.0041867457,0.000048093985,0.011265888,0.000019206518,0.00014212818,0.000072447125],"genre_scores_gemma":[0.9899455,0.000016198044,0.0036476364,0.00021051735,0.000017334432,0.0061394465,0.0000135532555,0.0000042500023,0.0000056121767],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99829334,0.00013093055,0.00045492616,0.0006880048,0.00015321071,0.00027960975],"domain_scores_gemma":[0.99865514,0.0008445399,0.00008126804,0.00027602137,0.000020985684,0.000122026046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054473565,0.00012754415,0.00046363717,0.00023210072,0.00031064407,0.00016497474,0.00009068082,0.00007949965,0.000035741454],"category_scores_gemma":[0.00012195672,0.00010434331,0.000050168863,0.001616893,0.0006886119,0.0001375255,0.00003574956,0.00020818472,0.000005589989],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001053047,0.00067861035,0.03478786,0.003260279,0.00016318189,0.00001650558,0.007592663,0.0009211366,0.12873891,0.026188882,0.000044531494,0.79750216],"study_design_scores_gemma":[0.0010847996,0.0002937872,0.5571495,0.0003538236,0.00019955219,0.000014344838,0.0012774426,0.42303398,0.0054545132,0.009962795,0.0008576324,0.00031780967],"about_ca_topic_score_codex":0.00017458099,"about_ca_topic_score_gemma":0.0005829322,"teacher_disagreement_score":0.79718435,"about_ca_system_score_codex":0.000080355596,"about_ca_system_score_gemma":0.0002948569,"threshold_uncertainty_score":0.42549965},"labels":[],"label_agreement":null},{"id":"W4403297896","doi":"10.3390/app14209206","title":"A Multimodal Recommender System Using Deep Learning Techniques Combining Review Texts and Images","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Education, India; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Recommender system; Artificial intelligence; Information retrieval","score_opus":0.02953477476178488,"score_gpt":0.3004914840239764,"score_spread":0.2709567092621915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403297896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013983243,0.042843215,0.9110738,0.0014355967,0.0005037097,0.0009569134,0.0000012115294,0.003419309,0.03836793],"genre_scores_gemma":[0.81355727,0.0012015575,0.18475287,0.00029132966,0.000057924834,0.00009077948,6.376172e-7,0.000013963924,0.000033650012],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980576,0.00012141125,0.0003810438,0.0007315808,0.00033908393,0.0003692839],"domain_scores_gemma":[0.9992894,0.00019755126,0.000117658965,0.00026985485,0.000035587844,0.00008993281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002203082,0.00021822474,0.00032941173,0.0002267778,0.0005480718,0.00089717127,0.0007139636,0.00006925998,0.000005209116],"category_scores_gemma":[0.000016977234,0.00016979368,0.000058356796,0.0008019363,0.00015842493,0.0006671532,0.0004152668,0.00025923422,0.000010107746],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013042934,0.000027240407,0.00024854392,0.0028433003,0.000038886246,0.00004336078,0.0010839027,0.000010939106,0.010706686,0.22861233,0.0020039752,0.7543795],"study_design_scores_gemma":[0.0005725938,0.00079130265,0.000318423,0.034681447,0.00017098777,0.0025701672,0.0035653228,0.70841557,0.09240758,0.016968084,0.13584356,0.0036949972],"about_ca_topic_score_codex":0.00007154558,"about_ca_topic_score_gemma":0.0000022420738,"teacher_disagreement_score":0.81215894,"about_ca_system_score_codex":0.00006658522,"about_ca_system_score_gemma":0.000058660484,"threshold_uncertainty_score":0.8651443},"labels":[],"label_agreement":null},{"id":"W4403335506","doi":"10.3390/app14209255","title":"Orifice versus Converging-Nozzle Grid Turbulence: A Wavelet Perspective","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Turbulence; Perspective (graphical); Nozzle; Body orifice; Grid; Computer science; Mechanics; Physics; Mathematics; Mechanical engineering; Engineering; Geometry; Thermodynamics; Artificial intelligence","score_opus":0.032265794175093614,"score_gpt":0.31563159124628465,"score_spread":0.28336579707119103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403335506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010574475,0.00259832,0.7197644,0.0034722164,0.008842244,0.0003406003,0.0000061057012,0.0010680982,0.2533335],"genre_scores_gemma":[0.88501084,0.000036178633,0.11305613,0.00048987725,0.00046888532,0.000028056194,8.5313536e-7,0.000011205177,0.0008979815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779606,0.00007024942,0.00017869798,0.0008750908,0.0006176418,0.00046228126],"domain_scores_gemma":[0.998882,0.00054259686,0.000040636198,0.0003548915,0.000077026394,0.000102852006],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013963183,0.00018037719,0.0001694807,0.00021725382,0.00045823015,0.001120465,0.0013948666,0.000058787216,0.000056105695],"category_scores_gemma":[0.000078000245,0.00014382642,0.000073768075,0.0017480811,0.0004428339,0.00069073465,0.00023185177,0.00023450743,0.00044187327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023587038,0.000021633146,0.000002126397,0.000015742204,0.000019958583,0.00006920065,0.0039100186,0.000092000424,0.0056975097,0.96047825,0.004607688,0.02506226],"study_design_scores_gemma":[0.0030893136,0.0011759225,0.0003317403,0.0002458949,0.0000997846,0.00025516222,0.0093072755,0.3892258,0.13925053,0.3145238,0.13985407,0.0026407156],"about_ca_topic_score_codex":0.00007187056,"about_ca_topic_score_gemma":0.0000026009143,"teacher_disagreement_score":0.8744364,"about_ca_system_score_codex":0.00009322906,"about_ca_system_score_gemma":0.0002824151,"threshold_uncertainty_score":0.9999165},"labels":[],"label_agreement":null},{"id":"W4403335660","doi":"10.3390/app14209231","title":"Helping CNAs Generate CVSS Scores Faster and More Confidently Using XAI","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science","score_opus":0.06350634013231286,"score_gpt":0.31582306430185847,"score_spread":0.2523167241695456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403335660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7012504,0.0013011605,0.29019552,0.0012347955,0.00079380214,0.00024672167,0.0000015372647,0.0002674906,0.0047085974],"genre_scores_gemma":[0.979622,0.00003055402,0.019250281,0.0007381107,0.00014887148,0.000015582658,4.107416e-7,0.0000098639,0.00018430722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978578,0.00003335888,0.00027514528,0.00082569855,0.00048392973,0.00052408344],"domain_scores_gemma":[0.9993237,0.00014605408,0.000056011286,0.0003010741,0.000047376077,0.00012574096],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00083743554,0.00018670074,0.00016867771,0.00025224313,0.0006183653,0.002193977,0.00093284005,0.00005461822,0.000022148479],"category_scores_gemma":[0.00002150813,0.00015570923,0.00003768956,0.001132109,0.00064187427,0.0010860678,0.00043199788,0.0001372019,0.000115305476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033923022,0.000019139708,0.00038883265,0.000058448055,0.000018338782,0.00007184388,0.006415013,0.0044501317,0.19936451,0.7520456,0.00030224514,0.036862534],"study_design_scores_gemma":[0.000054835535,0.0000587408,0.00017898549,0.00012032071,0.000011326429,0.0000617585,0.0020002003,0.7299814,0.2363631,0.028991647,0.0017268369,0.00045081414],"about_ca_topic_score_codex":0.00017759147,"about_ca_topic_score_gemma":0.000044655248,"teacher_disagreement_score":0.7255313,"about_ca_system_score_codex":0.000038667327,"about_ca_system_score_gemma":0.00017582848,"threshold_uncertainty_score":0.9988418},"labels":[],"label_agreement":null},{"id":"W4403486624","doi":"10.3390/app14209487","title":"Fault Diagnosis and Prognosis of Satellites and Unmanned Aerial Vehicles: A Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Aeronautics; Fault (geology); Computer science; Geology; Engineering; Seismology","score_opus":0.03314973965696235,"score_gpt":0.2937956380986673,"score_spread":0.260645898441705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403486624","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009610458,0.99693114,0.0000015595839,0.000021244125,0.000264496,0.0009571925,0.000019969808,0.00012426332,0.0015840624],"genre_scores_gemma":[0.0014622814,0.9974986,0.000059920123,0.00002094904,0.000087687135,0.00082131673,0.0000025312654,0.000021237036,0.000025507179],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874765,0.000033567918,0.00048329963,0.00034823245,0.00020271988,0.0001845534],"domain_scores_gemma":[0.9995661,0.00015010292,0.00009090363,0.00011418379,0.000011541829,0.00006721775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000451815,0.00026559774,0.0011139641,0.00013730658,0.00006249635,0.00010681603,0.0001747246,0.00012235853,0.000010385933],"category_scores_gemma":[0.000022527218,0.00018076778,0.00011208583,0.00055137346,0.00021587202,0.000039213144,0.00004791371,0.00013770928,0.000025855763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.9887703e-7,0.0000040528666,0.0000016438348,0.07952852,0.000059221304,7.9669877e-7,0.000040655545,0.0000011292356,0.000008222041,0.00030873145,0.00072682084,0.9193198],"study_design_scores_gemma":[0.000055387674,0.000033515345,6.9660166e-7,0.030051565,0.0005314736,0.00001271875,0.000036193425,0.00014804084,0.000023432525,0.0000537491,0.96882504,0.00022816271],"about_ca_topic_score_codex":0.000010300389,"about_ca_topic_score_gemma":0.0000065369177,"teacher_disagreement_score":0.9680982,"about_ca_system_score_codex":0.000015344373,"about_ca_system_score_gemma":0.00003081687,"threshold_uncertainty_score":0.7371496},"labels":[],"label_agreement":null},{"id":"W4403491284","doi":"10.3390/app14209486","title":"Adaptive Point Learning with Uncertainty Quantification to Generate Margin Lines on Prepared Teeth","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données; King Fahd University of Petroleum and Minerals","keywords":"Margin (machine learning); Ground truth; Artificial intelligence; Point cloud; Computer science; Metric (unit); Outlier; Boundary (topology); Spline (mechanical); Algorithm; Mathematics; Machine learning; Engineering","score_opus":0.026069994235790633,"score_gpt":0.24727873403051495,"score_spread":0.22120873979472433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403491284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75296485,0.00018237183,0.23323832,0.00039132257,0.00013757749,0.00017374457,0.000004157396,0.00069870474,0.012208965],"genre_scores_gemma":[0.99583817,0.000014399571,0.0036892057,0.000041645202,0.00007310585,0.000041112227,0.0000053901313,0.0000126424375,0.00028431465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999151,0.000012315496,0.00011700617,0.00032141848,0.0002179134,0.00018038125],"domain_scores_gemma":[0.99975836,0.00005403755,0.000012620183,0.0001008753,0.000022566703,0.000051526164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034581186,0.00011081432,0.00010514365,0.00015915275,0.00015935664,0.00016723393,0.00012996331,0.00002579524,0.000015986849],"category_scores_gemma":[0.000009292148,0.0000782354,0.000024966263,0.00072713144,0.000049666014,0.000058614103,0.000012501819,0.00010630969,0.00011485667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074414734,0.0000037740097,0.000015842672,0.000009025516,0.000017426277,0.0000010789961,0.0006183994,0.98202425,0.008890865,0.0016621777,0.00022804581,0.006521673],"study_design_scores_gemma":[0.000030385878,0.00006271026,0.00003114099,0.000050173952,0.000011980061,5.896187e-7,0.0007012796,0.99195474,0.006340101,0.000205401,0.00047428397,0.00013723814],"about_ca_topic_score_codex":0.000027477958,"about_ca_topic_score_gemma":0.000034585108,"teacher_disagreement_score":0.24287336,"about_ca_system_score_codex":0.000033856995,"about_ca_system_score_gemma":0.000028418151,"threshold_uncertainty_score":0.3190347},"labels":[],"label_agreement":null},{"id":"W4403492960","doi":"10.3390/app14209313","title":"Multilayer Perception-Based Hybrid Spectral Band Selection Algorithm for Aflatoxin B1 Detection Using Hyperspectral Imaging","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lethbridge College","funders":"","keywords":"Hyperspectral imaging; Remote sensing; Selection (genetic algorithm); Algorithm; Computer science; Artificial intelligence; Pattern recognition (psychology); Geography","score_opus":0.02122352694370194,"score_gpt":0.2992250415496399,"score_spread":0.27800151460593797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403492960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8044896,0.00027761242,0.19154663,0.00007641462,0.0001820479,0.00012327367,0.000017580747,0.00030453675,0.0029823082],"genre_scores_gemma":[0.9726963,0.000004917901,0.026523737,0.00005774434,0.00049523567,0.00003900456,0.000009441823,0.000022350036,0.00015128635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983876,0.0000065106688,0.00021139433,0.0006333715,0.00030745615,0.00045369175],"domain_scores_gemma":[0.99958855,0.00013660332,0.000056781053,0.00010377474,0.000038101367,0.00007619916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026895598,0.00020435418,0.00018097309,0.00032456554,0.0005940168,0.00034166503,0.00018100916,0.000055143053,0.00052835373],"category_scores_gemma":[0.00001867394,0.00018770274,0.00014494696,0.0009885506,0.00022145048,0.00020642545,0.0000115248795,0.00018791076,0.000016903778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102685335,0.000030830393,0.00022949371,0.000035944635,0.000025300797,0.0000018859756,0.00007271786,0.0015274349,0.979066,0.00007057702,0.000044236356,0.018885275],"study_design_scores_gemma":[0.00014036393,0.000013545089,0.00003688361,0.000008405592,0.00007770422,0.00001743895,0.00048758034,0.43516085,0.56345266,0.00032974873,0.000120629295,0.00015420669],"about_ca_topic_score_codex":0.00010584745,"about_ca_topic_score_gemma":0.00001471879,"teacher_disagreement_score":0.4336334,"about_ca_system_score_codex":0.0003086736,"about_ca_system_score_gemma":0.0001383336,"threshold_uncertainty_score":0.76542956},"labels":[],"label_agreement":null},{"id":"W4403499103","doi":"10.3390/app14209406","title":"Advanced Thermal Management for High-Power ICs: Optimizing Heatsink and Airflow Design","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Airflow; Heat sink; Thermal management of electronic devices and systems; Automotive engineering; Mechanical engineering; Engineering","score_opus":0.018417107269216842,"score_gpt":0.23573501578561482,"score_spread":0.21731790851639798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403499103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93490523,0.004534201,0.04536525,0.00025152435,0.00093255774,0.00088313577,0.0000059018266,0.0025406787,0.01058153],"genre_scores_gemma":[0.9328575,0.00009202792,0.06678409,0.000040313433,0.000021817377,0.00015708251,6.1111206e-7,0.000018712844,0.000027817981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918294,0.0000034433597,0.00011570462,0.00030308485,0.00012241655,0.00027241532],"domain_scores_gemma":[0.9997126,0.00012515698,0.000008827881,0.000120212535,0.000006419648,0.000026786087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023849243,0.0001320943,0.00011432605,0.00013978273,0.00009950493,0.00014713951,0.0002173491,0.000053587588,0.000012943784],"category_scores_gemma":[0.000004986139,0.00011186226,0.00002024877,0.0002801518,0.00020199684,0.0001665627,0.000054289296,0.000062120846,0.000010386407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006102223,0.000004245379,0.0000058687783,0.000107359025,0.000045635217,0.000005420945,0.00028106294,0.05661599,0.7930771,0.049229424,0.0009018781,0.09971993],"study_design_scores_gemma":[0.00045085957,0.00013750621,0.00013349394,0.00010959871,0.000042242442,0.0000070114083,0.0033371868,0.11032678,0.86466014,0.018276205,0.0018975055,0.0006214578],"about_ca_topic_score_codex":6.6795747e-7,"about_ca_topic_score_gemma":3.724976e-7,"teacher_disagreement_score":0.09909847,"about_ca_system_score_codex":0.000032761327,"about_ca_system_score_gemma":0.000008714347,"threshold_uncertainty_score":0.45616105},"labels":[],"label_agreement":null},{"id":"W4403598466","doi":"10.3390/app14209587","title":"Enhancing Printability Through Design Feature Analysis for 3D Food Printing Process Optimization","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Computer science; Process engineering; Engineering drawing; Engineering","score_opus":0.030189441305877064,"score_gpt":0.26746648545074775,"score_spread":0.2372770441448707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403598466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06271204,0.00013844347,0.93289316,0.00008152685,0.00011621001,0.0003322221,0.0000047180356,0.0017841756,0.0019375072],"genre_scores_gemma":[0.67514056,0.000007221831,0.3246803,0.0000064109536,0.000032123364,0.00011067384,0.0000031519724,0.000009930774,0.000009604402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989589,0.000009254545,0.00016135137,0.0004202806,0.00016399985,0.00028621213],"domain_scores_gemma":[0.99949235,0.00027168347,0.000029905676,0.00015925044,0.000027874283,0.000018963276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000607158,0.00015032971,0.00017259915,0.00016750909,0.00025058922,0.00020729683,0.00028760362,0.00008880638,0.00001465748],"category_scores_gemma":[0.00009785975,0.00012427772,0.0000678307,0.0011239845,0.00014493827,0.00017978999,0.000052502663,0.00015745216,0.0000034762859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016748322,0.0000049853184,0.00007247386,0.00017614647,0.00011155895,2.0115328e-7,0.0005545912,0.98848486,0.00064495235,0.0023311775,0.000025812404,0.007591587],"study_design_scores_gemma":[0.000045816556,0.000036943875,0.00019355159,0.000040172443,0.000099348756,7.97039e-7,0.0006676888,0.5430462,0.4472784,0.007951438,0.00040202122,0.00023766368],"about_ca_topic_score_codex":0.000001246305,"about_ca_topic_score_gemma":0.000005167241,"teacher_disagreement_score":0.61242855,"about_ca_system_score_codex":0.000040819952,"about_ca_system_score_gemma":0.000029439025,"threshold_uncertainty_score":0.50678986},"labels":[],"label_agreement":null},{"id":"W4403598487","doi":"10.3390/app14209589","title":"Progress of Capillary Flow-Related Hydrovoltaic Technology: Mechanisms and Device Applications","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"solar cell performance optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Capillary action; Computer science; Materials science","score_opus":0.005339170371524317,"score_gpt":0.20917765936729096,"score_spread":0.20383848899576665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403598487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62023157,0.02798054,0.29348332,0.00047775477,0.00064794545,0.0022002475,0.000014173475,0.004096581,0.05086788],"genre_scores_gemma":[0.9634174,0.00016365424,0.0362562,0.0000053450003,0.000009032939,0.00012089359,0.000003831114,0.000011447865,0.00001218599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942935,0.000002133385,0.00013692515,0.00017633867,0.00011943452,0.00013582056],"domain_scores_gemma":[0.9998265,0.00001810093,0.000015842663,0.0001033921,0.000012786336,0.000023364657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001594422,0.0000794462,0.00008299363,0.00022307494,0.00009103674,0.000039626517,0.00013893755,0.00007752474,0.000011105797],"category_scores_gemma":[0.0000017852786,0.0000713871,0.000010297341,0.0012193087,0.00026442338,0.00011327741,0.00003235226,0.000084838575,0.000021132242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024184158,0.000033981338,0.00060009025,0.0007185405,0.00008885853,0.000003141971,0.0010231698,0.32884303,0.24218757,0.2640907,0.0002021459,0.16220635],"study_design_scores_gemma":[0.0000470353,0.000015084484,0.00003316822,0.0000266553,0.000013732418,0.000006582086,0.00016426868,0.9626299,0.027080238,0.009361801,0.0005188503,0.00010266951],"about_ca_topic_score_codex":7.6914534e-7,"about_ca_topic_score_gemma":0.000001579226,"teacher_disagreement_score":0.63378686,"about_ca_system_score_codex":0.000013468561,"about_ca_system_score_gemma":0.000020361256,"threshold_uncertainty_score":0.29110813},"labels":[],"label_agreement":null},{"id":"W4403764089","doi":"10.3390/app14219759","title":"Microbiome Evolution of Brewer’s Spent Grain and Spent Coffee Ground Solid Sidestreams Under Industrial Storage Conditions","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Coffee research and impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Biomedical Research Council; National Research Foundation Singapore; Agency for Science, Technology and Research; National Research Foundation","keywords":"Food spoilage; Food science; Shelf life; Bacilli; Biology; Bacteria; Chemistry","score_opus":0.06436250596961304,"score_gpt":0.3499823884700386,"score_spread":0.2856198825004256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403764089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241805,0.00074402714,0.00022580897,0.0015914711,0.00024870227,0.00048002208,0.00004449461,0.00003959036,0.0042078183],"genre_scores_gemma":[0.99921674,0.000047983438,0.00007440589,0.00006465193,0.00017119602,0.0000108885715,0.000022057875,0.0000073127194,0.0003847766],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986807,0.000028098768,0.00020867224,0.0003136465,0.00043257794,0.00033629034],"domain_scores_gemma":[0.9994184,0.00014871442,0.000043225158,0.00013430355,0.00003343394,0.00022196253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006057458,0.00011571717,0.00020553502,0.0003119261,0.00015677261,0.00011789013,0.000105188876,0.00006615787,0.00025445904],"category_scores_gemma":[0.00005624454,0.00008739679,0.000046849043,0.0006936285,0.00090507086,0.00014699787,0.00007168296,0.00018433388,0.00004806506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010378623,0.00021847167,0.00081214245,0.00014123418,0.00009575688,0.000038635135,0.000491805,0.000025130053,0.93038,0.04489173,0.017337054,0.005464249],"study_design_scores_gemma":[0.017303478,0.010928246,0.44517455,0.0038257188,0.0010960952,0.0019532724,0.02797,0.0073618153,0.29114842,0.14814362,0.042562608,0.0025321706],"about_ca_topic_score_codex":0.00028231533,"about_ca_topic_score_gemma":0.00007022053,"teacher_disagreement_score":0.63923156,"about_ca_system_score_codex":0.00017022261,"about_ca_system_score_gemma":0.0006105838,"threshold_uncertainty_score":0.35639375},"labels":[],"label_agreement":null},{"id":"W4403765423","doi":"10.3390/app14219762","title":"Editorial of Special Issue on Power Transmission and Control in Power and Vehicle Machineries","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Power (physics); Control (management); Power transmission; Engineering; Computer science; Physics; Artificial intelligence","score_opus":0.005674564835020222,"score_gpt":0.2528367932712034,"score_spread":0.24716222843618318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403765423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622072,0.0008193143,0.0016003095,0.0006815216,0.007970968,0.00032160842,0.000012911968,0.00025631784,0.026129836],"genre_scores_gemma":[0.9979873,0.000057328303,0.00023305976,0.000010416399,0.0016804113,0.000006630201,1.6439789e-7,0.0000058994365,0.00001882935],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993771,0.000005121624,0.00009483088,0.00016445456,0.00020605176,0.00015248994],"domain_scores_gemma":[0.9997945,0.00011535486,0.000005355819,0.00005625331,0.000004771986,0.000023795297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017121583,0.00007081285,0.000100959245,0.00013194759,0.000035870617,0.000040821782,0.00010372354,0.000056629735,0.000070402486],"category_scores_gemma":[0.000013072168,0.000053950862,0.000007797529,0.00023748344,0.00032755052,0.000092926464,0.000022895983,0.0001541531,0.0000053881768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021388949,0.000047579415,0.00081185205,0.00019555009,0.000023168363,0.00001865174,0.0035313112,0.0038786726,0.68009955,0.018235406,0.04199566,0.25094873],"study_design_scores_gemma":[0.0024797027,0.0011618363,0.0051072594,0.00027034365,0.000011105162,0.000007011749,0.0031505597,0.039948635,0.15934029,0.0222547,0.76544493,0.0008235912],"about_ca_topic_score_codex":0.0000025908269,"about_ca_topic_score_gemma":0.0000026813316,"teacher_disagreement_score":0.7234493,"about_ca_system_score_codex":0.000012190259,"about_ca_system_score_gemma":0.000009391976,"threshold_uncertainty_score":0.22000523},"labels":[],"label_agreement":null},{"id":"W4403810590","doi":"10.3390/app14219811","title":"Adsorptive Removal of Dyes: A Comparison of Graphene Oxide to Granular Activated Carbon and Zeolite NaY","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zeolite; Activated carbon; Graphene; Oxide; Materials science; Chemical engineering; Chemistry; Adsorption; Nanotechnology; Organic chemistry; Catalysis; Metallurgy","score_opus":0.01683213657680145,"score_gpt":0.2696343709461171,"score_spread":0.25280223436931565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403810590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98322505,0.0001440915,0.00025388962,0.00015680857,0.000072735245,0.00022242992,0.000012375351,0.000047830064,0.015864817],"genre_scores_gemma":[0.9975047,0.000014842916,0.0022543415,0.00006320731,0.000010480941,0.0000054204315,0.0000014080707,0.0000064729506,0.00013910208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985053,0.000027730737,0.0003102073,0.00041440362,0.0005149881,0.00022737384],"domain_scores_gemma":[0.9995967,0.000057404857,0.00009433465,0.0001306405,0.00000832969,0.00011257544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004033656,0.00013889495,0.00023783141,0.0001531022,0.00007761597,0.000028943774,0.00023094201,0.000059170798,0.00013706001],"category_scores_gemma":[0.000014828134,0.000106363885,0.000053945696,0.0012414296,0.0009352915,0.00012574629,0.00013688847,0.000089698755,0.000027924176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003487011,0.00003932072,0.002495158,0.000016147897,0.000008421,0.0000025970664,0.0010769765,0.00020759703,0.9833507,0.008383681,0.000053960437,0.0043305587],"study_design_scores_gemma":[0.0003179356,0.0003225891,0.021235252,0.00009849177,0.000040087005,0.0000450579,0.0024295237,0.0063511888,0.95858103,0.0048942114,0.0053040665,0.00038058418],"about_ca_topic_score_codex":0.00028632593,"about_ca_topic_score_gemma":0.000058077676,"teacher_disagreement_score":0.0247697,"about_ca_system_score_codex":0.00003239524,"about_ca_system_score_gemma":0.000019101997,"threshold_uncertainty_score":0.43373933},"labels":[],"label_agreement":null},{"id":"W4403870103","doi":"10.3390/app14219893","title":"Deep Learning-Based Low-Frequency Passive Acoustic Source Localization","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Acoustics; Physics","score_opus":0.008507380830574608,"score_gpt":0.23373757107878237,"score_spread":0.22523019024820776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403870103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004113507,0.00048548664,0.9887034,0.0005153485,0.0002861912,0.00009423855,1.5302248e-7,0.0005783783,0.005223279],"genre_scores_gemma":[0.9802259,0.0000060624934,0.018930836,0.00059915846,0.000089198176,0.000021073596,0.0000016237695,0.000008221309,0.00011787723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835336,0.000026921147,0.00017132866,0.00059032434,0.0004907515,0.00036733077],"domain_scores_gemma":[0.999468,0.00016049031,0.000062290004,0.00017664376,0.00004388391,0.00008865875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003702635,0.00013871424,0.0001087308,0.0001856356,0.0005880094,0.0010117933,0.0008218209,0.00005404423,0.000032536896],"category_scores_gemma":[0.00006217374,0.000112056376,0.000038631788,0.0016732921,0.00027019513,0.00046256618,0.00008986592,0.0001635901,0.00020977481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019411796,0.00003664629,0.00034983072,0.000119810764,0.000008617999,0.000029550945,0.0014370604,0.6802226,0.026810344,0.009810439,0.00033497368,0.28083822],"study_design_scores_gemma":[0.00008044216,0.000052099265,0.000045630648,0.00006821126,0.0000060351376,0.000006024748,0.00017686807,0.9406136,0.05079047,0.0069824513,0.000971994,0.00020612412],"about_ca_topic_score_codex":0.0000058743262,"about_ca_topic_score_gemma":0.000006846099,"teacher_disagreement_score":0.9761124,"about_ca_system_score_codex":0.000042154035,"about_ca_system_score_gemma":0.00025966772,"threshold_uncertainty_score":0.9756746},"labels":[],"label_agreement":null},{"id":"W4404076107","doi":"10.3390/app142210093","title":"Performance Verification and Evaluation of Semi-Active Actuator System Using Quarter Car Lab Simulation with RLDA Data","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Kyungpook National University","keywords":"Computer science; Actuator; Quarter (Canadian coin); Simulation; Artificial intelligence; Geography","score_opus":0.06851373046946384,"score_gpt":0.2966788202585587,"score_spread":0.22816508978909483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404076107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857659,0.00013482517,0.0105564585,0.0000045661473,0.000119697936,0.00024377144,0.000008960298,0.0000664454,0.0030993796],"genre_scores_gemma":[0.9995431,0.0000032338605,0.00038535646,0.0000012676312,0.000037903552,0.000012439543,0.000009575807,0.0000058404707,0.0000013050615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992353,0.000020270376,0.0001458025,0.00017114295,0.00034920333,0.00007830034],"domain_scores_gemma":[0.9996744,0.00007254123,0.000035070254,0.0001676557,0.00003132668,0.0000190024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008650011,0.00006513068,0.00009137156,0.000057629528,0.00006626527,0.00004899485,0.000103164915,0.000026302207,0.000004271003],"category_scores_gemma":[0.0000050126887,0.000048767844,0.000004291973,0.00025462266,0.000057558227,0.00030489688,0.00001121062,0.000030417883,0.0000050819303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000428148,0.0000026841583,0.00019857574,0.0005295095,0.000026870608,1.239209e-7,0.0035965857,0.9635804,0.01814754,0.00026504186,0.000019968802,0.013628404],"study_design_scores_gemma":[0.00006554592,0.000012836396,0.000780786,0.00015680348,0.000036621917,0.000002886986,0.002253001,0.99496424,0.0016079152,0.0000045897273,0.000052279982,0.00006248372],"about_ca_topic_score_codex":0.000016711521,"about_ca_topic_score_gemma":0.0000039879487,"teacher_disagreement_score":0.031383835,"about_ca_system_score_codex":0.00005686954,"about_ca_system_score_gemma":0.00005766534,"threshold_uncertainty_score":0.1988695},"labels":[],"label_agreement":null},{"id":"W4404110792","doi":"10.3390/app142210171","title":"PD-Free Design of Insulation Systems: An Application to Laminated Busbars","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of Naval Research","keywords":"Busbar; Materials science; Engineering; Electrical engineering","score_opus":0.025518132689696875,"score_gpt":0.27388035647814657,"score_spread":0.2483622237884497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404110792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5774063,0.00015596884,0.41536963,0.00010269626,0.00027234867,0.0006530524,0.000012055924,0.00025641613,0.00577153],"genre_scores_gemma":[0.99409765,0.000003086023,0.00557761,0.0000640091,0.00006064493,0.00011002805,0.000005366845,0.0000084255535,0.000073182004],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985434,0.000056742472,0.00030839402,0.00042544812,0.00044847516,0.00021758114],"domain_scores_gemma":[0.99933237,0.00014000467,0.00007544166,0.00029331923,0.00006802219,0.00009086658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012917478,0.00010496783,0.00014585555,0.00025761782,0.00016365906,0.00020389809,0.0005073508,0.000048761314,0.000053545165],"category_scores_gemma":[0.00005754439,0.00008703689,0.000014298833,0.0014218997,0.0001310511,0.00030361154,0.000051393654,0.00004114166,0.00022328304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011662773,0.000024393496,0.000016083985,0.000022973847,0.0000015511088,3.9907698e-7,0.0005915291,0.027664457,0.85847455,0.110859945,0.00012328125,0.0022091607],"study_design_scores_gemma":[0.00043803646,0.0005478722,0.0033766227,0.00008889383,0.000032365937,0.000007481616,0.0010589149,0.5828651,0.37577754,0.031656414,0.0035214664,0.0006292676],"about_ca_topic_score_codex":0.000084085,"about_ca_topic_score_gemma":0.0000030777876,"teacher_disagreement_score":0.5552007,"about_ca_system_score_codex":0.000049077673,"about_ca_system_score_gemma":0.00011911104,"threshold_uncertainty_score":0.35492614},"labels":[],"label_agreement":null},{"id":"W4404325767","doi":"10.3390/app142210441","title":"Advancing Geotechnical Evaluation of Wellbores: A Robust and Precise Model for Predicting Uniaxial Compressive Strength (UCS) of Rocks in Oil and Gas Wells","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geotechnical engineering; Compressive strength; Geology; Petroleum engineering; Materials science; Composite material","score_opus":0.017938785207460207,"score_gpt":0.24967129927378387,"score_spread":0.23173251406632367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404325767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8465437,0.0014177014,0.15081395,0.000016410984,0.00008035094,0.0001390129,0.000013824909,0.00008009477,0.0008949309],"genre_scores_gemma":[0.9949532,0.00023863072,0.0047365027,9.915909e-7,0.000020717156,0.00003288671,0.0000015755669,0.000010433029,0.0000050634676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918014,0.000006931751,0.00022614504,0.00019491141,0.00022949219,0.00016236643],"domain_scores_gemma":[0.999623,0.00022515802,0.000027756145,0.0000645378,0.000025221494,0.000034352204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008432652,0.00009177391,0.00015614717,0.0001428332,0.00003703085,0.000025000076,0.00008239797,0.00005226882,0.0000011665379],"category_scores_gemma":[0.000040808958,0.00008505073,0.000016282813,0.00020946981,0.00009371051,0.00010267297,0.00002432786,0.00008926402,8.1115566e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041728695,0.000005275516,0.000030743417,0.00025643333,0.000005992432,1.1372753e-7,0.00061784347,0.9555439,0.00687245,0.00032132654,0.0000080991485,0.03633369],"study_design_scores_gemma":[0.00022708059,0.000020284306,0.000020009164,0.00029794872,0.000025057474,9.693235e-7,0.00021641616,0.9905356,0.007504917,0.0010560744,0.000014693272,0.00008090741],"about_ca_topic_score_codex":0.000014479839,"about_ca_topic_score_gemma":0.000022140926,"teacher_disagreement_score":0.14840949,"about_ca_system_score_codex":0.000020864363,"about_ca_system_score_gemma":0.000038887632,"threshold_uncertainty_score":0.3468268},"labels":[],"label_agreement":null},{"id":"W4404417732","doi":"10.3390/app142210534","title":"Experimental Study on Interlayer Interference Characteristics During Commingled Production in a Multilayer Tight Sandstone Gas Reservoir","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Petroleum engineering; Tight gas; Geology; Materials science; Petrology; Hydraulic fracturing","score_opus":0.030105835197254856,"score_gpt":0.28275471437564603,"score_spread":0.2526488791783912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404417732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605626,0.00009125457,0.000099208744,0.00011680521,0.000447992,0.0002611887,0.000001060312,0.00023282676,0.0026933982],"genre_scores_gemma":[0.9995757,0.0000099643985,0.000044834815,0.000011667295,0.0000936281,0.00012236815,0.0000025934287,0.000015960122,0.00012332712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987976,0.000030484876,0.00028647174,0.00038129094,0.00028130543,0.00022284378],"domain_scores_gemma":[0.9996976,0.000031213192,0.000020647527,0.0001877998,0.000011025405,0.000051709038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033034285,0.00016053466,0.00018432325,0.00040368777,0.00011720977,0.00017646606,0.00024454872,0.000037865717,0.000059439222],"category_scores_gemma":[0.000016225116,0.00012820806,0.00003500683,0.00077746465,0.000088914094,0.00019520381,0.000058692192,0.00021750649,0.000090469934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101285936,0.00087667216,0.0034098376,0.00010998653,0.000108632805,0.00007076304,0.05013268,0.03342648,0.9095329,0.00024930012,0.00032184867,0.0016595875],"study_design_scores_gemma":[0.0006876185,0.00042892728,0.007299775,0.00031445886,0.000028390154,0.000007725044,0.026540106,0.24045078,0.7232245,0.00007120597,0.00027614663,0.0006703437],"about_ca_topic_score_codex":0.0000115982475,"about_ca_topic_score_gemma":0.00006808559,"teacher_disagreement_score":0.2070243,"about_ca_system_score_codex":0.00010079635,"about_ca_system_score_gemma":0.000014463991,"threshold_uncertainty_score":0.5228173},"labels":[],"label_agreement":null},{"id":"W4404502281","doi":"10.3390/app142210678","title":"Research on Biomechanics, Motor Control and Learning of Human Movements","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Movement control; Biomechanics; Motor learning; Motor control; Physical medicine and rehabilitation; Computer science; Psychology; Neuroscience; Medicine; Anatomy","score_opus":0.09291790500329251,"score_gpt":0.3596274000538974,"score_spread":0.2667094950506049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404502281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98343235,0.000073612326,0.0005574797,0.00021673918,0.000117569536,0.00029266626,0.0000052923715,0.00005399756,0.015250302],"genre_scores_gemma":[0.9991454,0.000010704586,0.00003063618,0.00012581403,0.000037548052,0.000025568797,2.319497e-7,0.000004575623,0.00061953306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986519,0.00009834655,0.00012579904,0.0003651542,0.0005513337,0.0002074306],"domain_scores_gemma":[0.99934375,0.0004991632,0.000030127025,0.00006772203,0.000016698865,0.00004256407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013639488,0.000060550043,0.00008518202,0.0002728296,0.0004585117,0.00013513202,0.0001830556,0.000024916222,0.000023390327],"category_scores_gemma":[0.000099663135,0.000045988876,0.00001429546,0.0005183404,0.00033699634,0.00008759012,0.00003791024,0.00017270823,0.00003002457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075589246,0.000011047562,0.000004426559,0.000009745038,0.0000010146424,0.0000012283093,0.00012722239,0.000022661334,0.7754882,0.21893144,0.000007927179,0.0053875144],"study_design_scores_gemma":[0.0012686613,0.002733741,0.0013711723,0.00014633404,0.000010015231,0.0000023590128,0.0021281647,0.16024473,0.77147025,0.054925244,0.005367005,0.00033233594],"about_ca_topic_score_codex":0.000027596161,"about_ca_topic_score_gemma":0.0000014648664,"teacher_disagreement_score":0.16400619,"about_ca_system_score_codex":0.000011671574,"about_ca_system_score_gemma":0.00002836431,"threshold_uncertainty_score":0.35265476},"labels":[],"label_agreement":null},{"id":"W4404593632","doi":"10.3390/app142310784","title":"Robust Segmentation of Partial and Imperfect Dental Arches","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.028903875982672706,"score_gpt":0.2845538537525521,"score_spread":0.2556499777698794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404593632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909927,0.00069508713,0.00081153255,0.000017923261,0.00030642003,0.000075866184,0.0000059999697,0.000038123257,0.0070563066],"genre_scores_gemma":[0.9990383,0.00001805157,0.000826711,0.000021983768,0.000045254976,0.000008251953,0.0000023730158,0.0000033784115,0.000035728393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993502,0.000011298997,0.00010994345,0.0002044367,0.0002041016,0.00012005268],"domain_scores_gemma":[0.99983364,0.00006364865,0.000022157024,0.000046056437,0.0000038899143,0.00003059529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025737978,0.0000580702,0.00006740494,0.00010903166,0.00010519644,0.00015044975,0.00009348959,0.00001345203,0.000049184833],"category_scores_gemma":[0.0000036138867,0.000047438087,0.000034095778,0.0003594381,0.0004216397,0.00019737575,0.00003620469,0.00004752795,0.000025797566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003752501,0.00007709691,0.19169123,0.00024008426,0.000082358056,0.000048478698,0.0026518828,0.00026147315,0.67672175,0.04470772,0.0013304967,0.082149886],"study_design_scores_gemma":[0.00068066013,0.00020576591,0.15625404,0.00015085029,0.00011919178,0.00030568778,0.013273047,0.015939852,0.8069194,0.0049916063,0.00065723894,0.0005026433],"about_ca_topic_score_codex":0.000030606796,"about_ca_topic_score_gemma":0.000011871493,"teacher_disagreement_score":0.13019766,"about_ca_system_score_codex":0.0000067117794,"about_ca_system_score_gemma":0.000015337737,"threshold_uncertainty_score":0.1934469},"labels":[],"label_agreement":null},{"id":"W4404638781","doi":"10.3390/app142310824","title":"From Single Shot to Structure: End-to-End Network-Based Deflectometry for Specular Free-Form Surface Reconstruction","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Fusion (Canada); University of Waterloo","funders":"Mitacs","keywords":"Computer science; Specular reflection; Artificial intelligence; Autoencoder; End-to-end principle; Discriminative model; Single shot; Computer vision; High fidelity; Deep learning; Artificial neural network; Optics; Engineering","score_opus":0.05612014998451549,"score_gpt":0.29209838558450385,"score_spread":0.23597823559998837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404638781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1890437,0.00013675181,0.79486024,0.0018392093,0.0015267894,0.0007244506,0.000029554518,0.0006034239,0.0112358555],"genre_scores_gemma":[0.6632753,7.0228555e-7,0.33601758,0.00045410174,0.00020226205,0.00002562651,0.0000026705238,0.0000072519733,0.000014528276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773043,0.000021259482,0.00027973298,0.00085402833,0.0005880381,0.0005265196],"domain_scores_gemma":[0.9989803,0.0002540491,0.000043658958,0.00046020417,0.000074475625,0.00018733164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070761563,0.00020838898,0.0002117229,0.00021950241,0.00025407603,0.0009841827,0.0015191511,0.000086074164,0.00014768628],"category_scores_gemma":[0.00007427387,0.00017098463,0.000075305165,0.0018809249,0.00016488056,0.00041196382,0.00021242416,0.00013764658,0.00004058534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033115277,0.000040756848,0.00026154437,0.00002731588,0.000030587133,0.0000025662055,0.00041242933,0.0016351156,0.734818,0.118005216,0.007189443,0.13754396],"study_design_scores_gemma":[0.00015625369,0.0007050461,0.0001566435,0.00014761412,0.000018461644,0.0000031294105,0.000067821406,0.031436246,0.8110894,0.1507423,0.0049756533,0.0005014331],"about_ca_topic_score_codex":0.000049328355,"about_ca_topic_score_gemma":0.000091888935,"teacher_disagreement_score":0.4742316,"about_ca_system_score_codex":0.0001137865,"about_ca_system_score_gemma":0.00013795024,"threshold_uncertainty_score":0.94904965},"labels":[],"label_agreement":null},{"id":"W4404693484","doi":"10.3390/app142310933","title":"The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Military College of Canada; Université du Québec en Outaouais","funders":"","keywords":"Smart grid; Interoperability; Computer science; Systems engineering; Internet of Things; Context (archaeology); Risk analysis (engineering); Computer security; Engineering; Business; World Wide Web; Electrical engineering","score_opus":0.07270680990149303,"score_gpt":0.3079270712929213,"score_spread":0.23522026139142826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404693484","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.489988e-7,0.95108545,0.000013875828,0.00026916707,0.00005977227,0.0008374009,0.00003199271,0.00010273388,0.047598958],"genre_scores_gemma":[0.00023786224,0.9988219,0.00003610716,0.000005443408,0.000015363152,0.0008544682,0.0000050589015,0.00001400444,0.000009788836],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989511,0.000006384431,0.0004889265,0.00021875252,0.00015810452,0.00017674011],"domain_scores_gemma":[0.99948025,0.00020456208,0.00006591436,0.00020753901,0.000016055814,0.000025687867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001811002,0.00019477407,0.00056035555,0.0002292311,0.000052941687,0.00008991511,0.00045478213,0.00013974661,0.0000012744379],"category_scores_gemma":[0.0000077759805,0.00012251646,0.000060902665,0.0011281044,0.0005913685,0.00011166656,0.00007018123,0.00029535522,0.000050532508],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.5531106e-8,0.0000031713732,1.5166007e-7,0.033979338,0.000016900476,2.51555e-7,0.000015726802,0.0000031048269,8.1097475e-8,0.06715194,0.0001643627,0.89866495],"study_design_scores_gemma":[0.000015250561,0.000006443683,2.242216e-7,0.01012012,0.000052452982,0.000014676473,0.0002972978,0.0000057295565,7.6977824e-7,0.0038413135,0.9855236,0.00012213728],"about_ca_topic_score_codex":2.1517668e-7,"about_ca_topic_score_gemma":0.0000012716692,"teacher_disagreement_score":0.9853592,"about_ca_system_score_codex":0.000024105568,"about_ca_system_score_gemma":0.000056007422,"threshold_uncertainty_score":0.49960762},"labels":[],"label_agreement":null},{"id":"W4404698159","doi":"10.3390/app142310923","title":"Coupled Elastic–Plastic Damage Modeling of Rock Based on Irreversible Thermodynamics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermodynamics; Materials science; Physics","score_opus":0.015564603645744147,"score_gpt":0.21858014651676153,"score_spread":0.2030155428710174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404698159","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21909353,0.00007861207,0.77113044,0.000009823736,0.00040468288,0.000076325545,0.0000044229423,0.00016370977,0.009038452],"genre_scores_gemma":[0.99811333,0.000013703237,0.001782344,0.000017049608,0.000031022464,0.0000089025225,0.0000024662052,0.000018327131,0.00001287315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991388,0.000003507424,0.00016197747,0.00021624212,0.0002670127,0.00021249276],"domain_scores_gemma":[0.9996589,0.00014907723,0.000012716218,0.00012021387,0.000015303529,0.00004379596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022471893,0.0001175757,0.00012283944,0.00016549461,0.00009890268,0.00005714257,0.00021297632,0.00004535269,0.00002399226],"category_scores_gemma":[0.00001121494,0.00010100461,0.00003857134,0.0003695466,0.000015489566,0.00006394633,0.000024298457,0.000113515256,0.000025450752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029359999,0.000006248564,5.094177e-7,0.000057581885,0.0000055300898,9.668239e-7,0.00006664055,0.96061724,0.025514822,0.01354369,0.000014061082,0.00016978917],"study_design_scores_gemma":[0.00007664098,0.000030227326,9.0065754e-7,0.000079790276,0.000012782847,2.8029226e-7,0.00009626722,0.99642724,0.0012180615,0.0019214202,0.000018314138,0.00011804742],"about_ca_topic_score_codex":0.0000048566612,"about_ca_topic_score_gemma":0.0000033979245,"teacher_disagreement_score":0.7790198,"about_ca_system_score_codex":0.000029535568,"about_ca_system_score_gemma":0.000054945034,"threshold_uncertainty_score":0.41188484},"labels":[],"label_agreement":null},{"id":"W4404701155","doi":"10.3390/app142310896","title":"Response of Corroded Steel Pipeline Without and with CFRP Reinforcement to Reverse Fault Movement","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Buckling; Corrosion; Structural engineering; Materials science; Pipeline (software); Reinforcement; Failure mode and effects analysis; Deformation (meteorology); Finite element method; Composite material; Engineering; Mechanical engineering","score_opus":0.008119471340383827,"score_gpt":0.2196538300201273,"score_spread":0.2115343586797435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404701155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8338315,0.00032404874,0.15541755,0.00054729,0.00023501345,0.00044299033,0.000007909624,0.00051306863,0.008680672],"genre_scores_gemma":[0.99429697,0.000012542813,0.0049716756,0.00013332763,0.000014264045,0.000020617574,6.6873446e-7,0.000009992934,0.0005399464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999211,0.0000051234265,0.00015719968,0.00019341981,0.00025417353,0.00017909397],"domain_scores_gemma":[0.99972135,0.000051590563,0.000010878772,0.00012817529,0.000012564741,0.000075421136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035114857,0.00011704077,0.00013022883,0.00011535015,0.000046163757,0.000051898507,0.00012095742,0.000033013355,0.000013685386],"category_scores_gemma":[0.000014688086,0.000083452316,0.000014010532,0.0003496419,0.000097857104,0.000047374553,0.00003259559,0.0000814185,0.000004485561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000637024,0.00000323806,0.000004964011,0.0000778519,0.000013099847,0.0000024188623,0.00030611648,0.87526953,0.10975988,0.01155077,0.0011837722,0.0017646676],"study_design_scores_gemma":[0.0009145341,0.00091845973,0.0014909086,0.00046332375,0.00006683626,0.000021843063,0.0016473162,0.83739775,0.10855512,0.00183447,0.045749143,0.0009403125],"about_ca_topic_score_codex":0.000020180967,"about_ca_topic_score_gemma":0.0000075969124,"teacher_disagreement_score":0.1604655,"about_ca_system_score_codex":0.000023530167,"about_ca_system_score_gemma":0.000023525246,"threshold_uncertainty_score":0.34030867},"labels":[],"label_agreement":null},{"id":"W4404719426","doi":"10.3390/app142310973","title":"Recycled Carbonyl Iron-Biodegradable PLA Auxetic Composites: Investigating Mechanical Properties of 3D-Printed Parts Under Quasi-Static Loading","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Composite material; 3d printed; Auxetics; Engineering; Manufacturing engineering","score_opus":0.04028313672928272,"score_gpt":0.23995049918475153,"score_spread":0.19966736245546882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404719426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97993726,0.0006288452,0.013318266,0.00024359958,0.00022347052,0.00015976225,0.0000037493567,0.0016294026,0.0038556273],"genre_scores_gemma":[0.9910919,0.000021359605,0.008750546,0.00002849327,0.000022401664,0.000038370104,0.0000014684998,0.000019367408,0.000026091218],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986737,0.000022473909,0.00031239958,0.00035198525,0.000277741,0.00036174324],"domain_scores_gemma":[0.99946374,0.00023068399,0.00004504039,0.0001929382,0.00001558546,0.00005202474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003745444,0.00020141377,0.00024984218,0.00018078672,0.00017787819,0.00013365377,0.00037772924,0.000086044674,0.000013651963],"category_scores_gemma":[0.00006705679,0.00015789132,0.000039348015,0.00043875043,0.00058657135,0.00009877547,0.00013568842,0.00024416944,0.000016590184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009723494,0.00006287059,0.00013781614,0.0014323887,0.00014899315,0.000011471247,0.0023341144,0.052631974,0.76303864,0.13205461,0.00048745653,0.04764995],"study_design_scores_gemma":[0.000071865135,0.000044969136,0.00003092241,0.00051039597,0.000022647911,0.000003963144,0.0012088155,0.26147327,0.7225465,0.0137033425,0.00013822016,0.0002450508],"about_ca_topic_score_codex":0.00005990432,"about_ca_topic_score_gemma":0.000013564438,"teacher_disagreement_score":0.20884131,"about_ca_system_score_codex":0.000054018834,"about_ca_system_score_gemma":0.000043129992,"threshold_uncertainty_score":0.6438621},"labels":[],"label_agreement":null},{"id":"W4404719866","doi":"10.3390/app142310972","title":"How Much Does the Dynamic F0 Curve Affect the Expression of Emotion in Utterances?","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Affect (linguistics); Expression (computer science); Psychology; Social psychology; Cognitive psychology; Computer science; Communication","score_opus":0.024402812141610372,"score_gpt":0.32265046038991524,"score_spread":0.29824764824830485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404719866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707826,0.00038457167,0.0009868637,0.0050727334,0.0012212712,0.00033007274,0.000004564304,0.000041173018,0.021176165],"genre_scores_gemma":[0.99902976,0.000030753523,0.000045677418,0.00015167793,0.000061035484,0.00006130754,0.0000029928483,0.000004398188,0.00061239087],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913764,0.00013526538,0.00011860523,0.00025259473,0.00020084628,0.0001550718],"domain_scores_gemma":[0.999517,0.00025458992,0.00005624141,0.00014656443,0.000011541075,0.0000140691445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008827813,0.00007545496,0.00007890565,0.00009349088,0.00015271625,0.00010716141,0.00025300402,0.00004791766,0.00013723777],"category_scores_gemma":[0.000014314092,0.000030555293,0.00004018789,0.0004845447,0.0003674727,0.00010141733,0.000027684133,0.00014225792,0.00004406646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007902806,0.00030686046,0.0029284875,0.00018704943,0.000040990617,0.000010172735,0.039848894,0.00007534799,0.30105802,0.15747587,0.0062672216,0.49172205],"study_design_scores_gemma":[0.0026589702,0.00076803233,0.25457683,0.0015589829,0.00012355632,0.00008550384,0.16793944,0.010356363,0.2787205,0.2625471,0.019384056,0.0012806829],"about_ca_topic_score_codex":0.000024282634,"about_ca_topic_score_gemma":0.00013181922,"teacher_disagreement_score":0.49044135,"about_ca_system_score_codex":0.000010643626,"about_ca_system_score_gemma":0.000016327407,"threshold_uncertainty_score":0.15026574},"labels":[],"label_agreement":null},{"id":"W4404756463","doi":"10.3390/app142311048","title":"COVID-19 Lung Injury: Unique and Familiar Aspects of Pathophysiology","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Pathophysiology; Intensive care medicine; Virology; Pathology; Infectious disease (medical specialty); Disease; Outbreak","score_opus":0.023429577393398394,"score_gpt":0.32377357193323697,"score_spread":0.30034399453983857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404756463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95167214,0.0007072513,0.0011749361,0.00092455413,0.00022761576,0.00035910172,0.0000074967083,0.00010259161,0.04482434],"genre_scores_gemma":[0.9967636,0.00009089166,0.000644712,0.0023075994,0.00005002904,0.00001605782,0.0000021495018,0.000005166769,0.00011980589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999261,0.000013926458,0.00013310557,0.00027802688,0.00016214253,0.0001517756],"domain_scores_gemma":[0.99960417,0.000065370405,0.000027901773,0.00010894922,0.000012611499,0.00018097222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039495944,0.00007781932,0.00017182672,0.00012948376,0.000074715215,0.000014541215,0.00007816585,0.00005645452,0.000085394226],"category_scores_gemma":[0.000046501154,0.00005481812,0.000026044752,0.0003342503,0.000379543,0.00004232691,0.000041903673,0.000078531,0.000009698773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026446622,0.000014666598,0.00030601321,0.0002042786,0.000010136018,0.00003033493,0.00041665547,0.0000015169187,0.7024921,0.2885664,0.0012176073,0.006713812],"study_design_scores_gemma":[0.0009065751,0.0022230519,0.0023236598,0.000150766,0.00015547595,0.000064130436,0.0038074544,0.0018266517,0.58839875,0.2923008,0.10736285,0.00047981736],"about_ca_topic_score_codex":0.000017511367,"about_ca_topic_score_gemma":0.0000037669372,"teacher_disagreement_score":0.11409335,"about_ca_system_score_codex":0.000019912031,"about_ca_system_score_gemma":0.0006489823,"threshold_uncertainty_score":0.22354181},"labels":[],"label_agreement":null},{"id":"W4404854358","doi":"10.3390/app142311147","title":"Numerical Analysis of Cold Spray Process for Creation of Pin Fin Geometries","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Materials science; Fin; Mechanics; Mechanical engineering; Engineering; Composite material; Physics","score_opus":0.01867139524971176,"score_gpt":0.29808179293527426,"score_spread":0.27941039768556253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404854358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877322,0.00014808416,0.011198191,0.000023659075,0.00009242972,0.00015503775,0.000022103963,0.00009318187,0.0005351687],"genre_scores_gemma":[0.99881685,0.0000031698155,0.0010650583,0.0000029128485,0.000015986401,0.000049671813,0.0000070475344,0.0000066552448,0.000032629156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932086,0.000003425846,0.00020048404,0.00013893883,0.0002194925,0.00011677101],"domain_scores_gemma":[0.9996386,0.00019050905,0.00003023129,0.00007943621,0.000038791637,0.00002243168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002893245,0.00007103481,0.0001947182,0.0004663134,0.0000440396,0.00003926142,0.00015228092,0.000042457603,0.000018230381],"category_scores_gemma":[0.00004469263,0.000058950936,0.0000556002,0.004009011,0.00013661805,0.00007143891,0.000006665425,0.00004543049,0.0000015748016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004068702,0.00002222593,0.0021257463,0.0002530861,0.00011950078,2.479601e-7,0.0025121248,0.20231698,0.7801014,0.011970864,0.00016595372,0.00040777412],"study_design_scores_gemma":[0.00005497486,0.00004886355,0.001999345,0.000030195308,0.00024883062,1.4014225e-7,0.0004029723,0.013932197,0.9826208,0.000079561716,0.000470202,0.000111960886],"about_ca_topic_score_codex":0.0000083661635,"about_ca_topic_score_gemma":0.00000828833,"teacher_disagreement_score":0.20251933,"about_ca_system_score_codex":0.000015268719,"about_ca_system_score_gemma":0.00004255039,"threshold_uncertainty_score":0.24039495},"labels":[],"label_agreement":null},{"id":"W4404926658","doi":"10.3390/app142311228","title":"Immediate Loading of Post-Extraction Implants: Success and Survival Rates: A Systematic Review and Meta-Analysis","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.11729738473969532,"score_gpt":0.4296938956703589,"score_spread":0.3123965109306636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404926658","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004009521,0.99716824,0.00002505892,0.000019030997,0.00017953622,0.0015220144,0.00041442114,0.0000627089,0.0005689176],"genre_scores_gemma":[0.0017239115,0.997403,0.00007659344,0.00007332124,0.000014194501,0.00026964812,0.000057912133,0.000018531971,0.00036285055],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9971838,0.0001717662,0.001214222,0.0006708009,0.0005022129,0.00025719425],"domain_scores_gemma":[0.9980807,0.0005644721,0.0009120872,0.00031199146,0.00004414651,0.00008665738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021342083,0.00043707414,0.005974182,0.0005029234,0.00013207691,0.00032124657,0.0004537174,0.00015219973,0.000089185065],"category_scores_gemma":[0.000060140384,0.0002420121,0.00095753995,0.0014338776,0.00023028828,0.00018280064,0.00021930954,0.00022428084,0.000063202104],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.217502e-7,0.000011261972,0.000006378616,0.97212476,0.025833542,0.000055054465,0.00002060224,3.0252384e-8,0.0000037520276,0.0008802671,0.00012253906,0.0009411925],"study_design_scores_gemma":[0.000029965504,0.000021459451,0.0000072616554,0.017687485,0.97882086,0.0010708647,0.0001144762,0.0000026604914,0.000009957107,0.0000825211,0.0017828204,0.0003696699],"about_ca_topic_score_codex":0.00013132111,"about_ca_topic_score_gemma":0.00010118745,"teacher_disagreement_score":0.95443726,"about_ca_system_score_codex":0.000024995312,"about_ca_system_score_gemma":0.00005168332,"threshold_uncertainty_score":0.9868967},"labels":[],"label_agreement":null},{"id":"W4404959350","doi":"10.3390/app142311285","title":"Validation of a Multi-Segment Kinematic Foot Model and Optical Motion Capture Using Bi-Planar X-Ray Fluoroscopy and a Markerless RSA Approach","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; Western University","funders":"","keywords":"Kinematics; Forefoot; Motion capture; Gait; Foot (prosody); Transverse plane; Motion analysis; Heel; Gait analysis; Motion (physics); Computer science; Physics; Computer vision; Medicine; Physical medicine and rehabilitation; Anatomy","score_opus":0.04164743820153242,"score_gpt":0.2577431767841711,"score_spread":0.21609573858263867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404959350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5523464,0.0005452713,0.446109,0.000017445122,0.00006861364,0.00018521718,0.000025450672,0.00008754418,0.00061502744],"genre_scores_gemma":[0.8556043,0.000033477216,0.14431666,0.000004986279,0.000008312422,0.000013495539,0.000007217913,0.000006339017,0.000005189188],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993353,0.0000076911565,0.00013880295,0.00022565652,0.00015826977,0.00013426149],"domain_scores_gemma":[0.9998242,0.000042042793,0.00001764974,0.000071995164,0.000008826981,0.00003523407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034696286,0.00010207062,0.00012813385,0.00010766377,0.00006525368,0.00010692894,0.00007599013,0.00006469128,0.0000031460797],"category_scores_gemma":[0.0000068934028,0.000079585334,0.000014523196,0.0002135264,0.0001220181,0.000092157694,0.000030020981,0.0000660997,5.4349596e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005059649,0.000036499037,0.0000458728,0.0010410837,0.000022047274,0.0000023912903,0.0021985453,0.16858746,0.8110319,0.009877444,0.00005733065,0.0070943986],"study_design_scores_gemma":[0.00007327491,0.00000768495,0.000051526345,0.000052054686,0.000019831417,0.0000061155893,0.00044884172,0.9913313,0.006843435,0.0010678613,0.0000030903843,0.00009503385],"about_ca_topic_score_codex":0.0000055417913,"about_ca_topic_score_gemma":0.0000012706322,"teacher_disagreement_score":0.8227438,"about_ca_system_score_codex":0.000015826643,"about_ca_system_score_gemma":0.000014015099,"threshold_uncertainty_score":0.32453957},"labels":[],"label_agreement":null},{"id":"W4404998847","doi":"10.3390/app142311312","title":"Fall Risk Assessment in Active Elderly Through the Use of Inertial Measurement Units: Determining the Right Postural Balance Variables and Sensor Locations","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamic balance; Balance (ability); Physical medicine and rehabilitation; Fall prevention; Berg Balance Scale; Inertial measurement unit; Logistic regression; Metric (unit); Poison control; Physical therapy; Psychology; Medicine; Injury prevention; Computer science; Engineering; Operations management; Machine learning; Artificial intelligence; Environmental health","score_opus":0.08629965416269461,"score_gpt":0.366820179732383,"score_spread":0.28052052556968843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404998847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99046695,0.00023730386,0.0014505219,0.0020289754,0.0004656055,0.0009573019,0.000038926508,0.000037510665,0.004316888],"genre_scores_gemma":[0.9980099,0.00016211587,0.0012846757,0.00025956164,0.000081645274,0.00013962311,0.0000048273328,0.000005567263,0.00005204143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99838525,0.00037962766,0.0003263538,0.00026219568,0.00038597352,0.00026057434],"domain_scores_gemma":[0.9985262,0.0009901306,0.00016286592,0.00016866116,0.00012857805,0.000023566225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014102653,0.00010711457,0.00014035708,0.0000466039,0.0009643134,0.00006900463,0.00021884363,0.00006170506,0.000003842597],"category_scores_gemma":[0.000118927936,0.000053850737,0.000018560422,0.0005848326,0.0003642687,0.0002999794,0.00008233392,0.00042642874,0.0000044837593],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002284562,0.00092387164,0.31663355,0.0008038344,0.00040361896,0.00000675883,0.11584303,0.0007416336,0.08738164,0.40215686,0.009613786,0.06526298],"study_design_scores_gemma":[0.00061744,0.00011518691,0.9591156,0.00042581407,0.0000738322,0.0000011250601,0.014250795,0.0092577385,0.000054335575,0.005954027,0.009953523,0.00018057185],"about_ca_topic_score_codex":0.0011142354,"about_ca_topic_score_gemma":0.0022922968,"teacher_disagreement_score":0.6424821,"about_ca_system_score_codex":0.00007375947,"about_ca_system_score_gemma":0.00038624278,"threshold_uncertainty_score":0.74168164},"labels":[],"label_agreement":null},{"id":"W4405107939","doi":"10.3390/app142311389","title":"Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Peak load; Electric vehicle; Occupancy; Incentive; Automotive engineering; Computer science; Environmental science; Power (physics); Engineering; Economics; Civil engineering","score_opus":0.018039869533753316,"score_gpt":0.22161337342374432,"score_spread":0.20357350388999101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405107939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88173807,0.0024499304,0.113938786,0.000023472086,0.0001455771,0.00046226667,0.0000075314606,0.00014291525,0.0010914804],"genre_scores_gemma":[0.9780041,0.00001544005,0.021703618,0.000018157529,0.00015058211,0.00006724806,0.0000049204205,0.000027179596,0.000008770897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986394,0.0000068482123,0.00023432325,0.0003243557,0.00024193611,0.00055314094],"domain_scores_gemma":[0.99968827,0.00016344874,0.000032732532,0.000051368264,0.000022366277,0.00004182358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004831703,0.00016397552,0.00017997989,0.00018711627,0.00028934618,0.0002987154,0.00021215167,0.000049879643,0.0000032652822],"category_scores_gemma":[0.0000223611,0.00014955674,0.000039882736,0.00090338854,0.000028782777,0.00023905089,0.000020050633,0.00023026257,1.3882219e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012379797,0.0000025534525,0.0004115682,0.00036358245,0.00001993868,0.0000024273852,0.00042069785,0.79729503,0.17375782,0.007170169,0.00016753194,0.020376323],"study_design_scores_gemma":[0.0001523505,0.000025844593,0.000038090282,0.000033730263,0.000011695182,0.000010602603,0.00070348376,0.98532474,0.010826689,0.0022417807,0.00044040137,0.0001906032],"about_ca_topic_score_codex":0.07192956,"about_ca_topic_score_gemma":0.058191344,"teacher_disagreement_score":0.18802972,"about_ca_system_score_codex":0.0004291087,"about_ca_system_score_gemma":0.0009072149,"threshold_uncertainty_score":0.9589942},"labels":[],"label_agreement":null},{"id":"W4405113139","doi":"10.3390/app142311379","title":"Examining the Effectiveness of Mnemonics Serious Games in Enhancing Memory and Learning: A Scoping Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mnemonic; Computer science; Memorization; Scopus; Memory work; Scope (computer science); Multimedia; Psychology; World Wide Web; Mathematics education; MEDLINE; Cognitive psychology","score_opus":0.09228038207774021,"score_gpt":0.3723505906613304,"score_spread":0.2800702085835902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405113139","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018172743,0.990591,0.000006408342,0.000009747121,0.00020509366,0.001736645,0.0000013845074,0.00003962518,0.0055928603],"genre_scores_gemma":[0.005968823,0.9934738,0.000041910105,0.00010742628,0.00003020317,0.0003187803,4.947956e-7,0.000020364469,0.00003814627],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.996498,0.00088584394,0.0007621432,0.0009912901,0.00049250526,0.00037025617],"domain_scores_gemma":[0.9948987,0.004299761,0.0004734564,0.0002611515,0.000017955823,0.000048984104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072880187,0.00035500515,0.0014133177,0.00021882956,0.00033336872,0.00018305803,0.0008344227,0.0001040089,0.000011863821],"category_scores_gemma":[0.001715856,0.00019799787,0.00010149426,0.0020193318,0.0008948259,0.00017345641,0.00035948903,0.0006763868,0.000018112842],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028776594,0.000009790719,0.000002166917,0.42685124,0.0000059553067,0.000009548857,0.00022887618,0.00002580869,0.0007875558,0.001077961,0.000004293152,0.5709939],"study_design_scores_gemma":[0.00008516721,0.00014340671,0.0000038758994,0.97638524,0.00030510421,0.00009275388,0.00038994744,0.00003706202,0.003131149,0.0003989713,0.018518064,0.0005092667],"about_ca_topic_score_codex":0.000010997005,"about_ca_topic_score_gemma":0.000008895534,"teacher_disagreement_score":0.57048464,"about_ca_system_score_codex":0.000029050498,"about_ca_system_score_gemma":0.0006347665,"threshold_uncertainty_score":0.8074119},"labels":[],"label_agreement":null},{"id":"W4405292331","doi":"10.3390/app142411540","title":"Phytochemical Profiles, Micromorphology, and Elemental Composition of Gomphocarpus fruticosus (L.) W.T. Aiton and Leonotis leonurus (L.) R.Br., Plants Used for Managing Antidepressant-like Conditions in Folk Medicine","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tshwane University of Technology; North-West University; Inyuvesi Yakwazulu-Natali; National Research Foundation; McMaster University","keywords":"Phytochemical; Traditional medicine; Composition (language); Chemistry; Medicine; Philosophy","score_opus":0.021352392012007407,"score_gpt":0.30568870803843257,"score_spread":0.2843363160264252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405292331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913826,0.0045604794,0.00009549674,0.0020508384,0.00019221462,0.0008704428,0.00008868157,0.000032530952,0.000726714],"genre_scores_gemma":[0.9980303,0.00028609022,0.0013214156,0.00014302002,0.00006162968,0.00004737418,0.000076773824,0.000008612604,0.000024789178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987351,0.000015615462,0.00031179568,0.00043923673,0.00021677164,0.0002815227],"domain_scores_gemma":[0.99950045,0.00026474157,0.00006834755,0.00008036347,0.000022130696,0.00006397639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028851602,0.0001578648,0.00038634404,0.00021345101,0.00012472078,0.000019209232,0.00008012801,0.00006304676,0.00001931071],"category_scores_gemma":[0.000013304175,0.00011862796,0.000026843394,0.00024197559,0.0013785412,0.000074320116,0.0000813929,0.00012862007,0.0000020483285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011444711,0.0000745776,0.020576736,0.00042993383,0.00007960322,0.00003235046,0.0008131674,0.0000014478327,0.970677,0.003295428,0.0018486493,0.0020566403],"study_design_scores_gemma":[0.011519301,0.0018457809,0.19072841,0.003100013,0.0007018344,0.00075784296,0.013119903,0.005360969,0.7600839,0.011018467,0.00093577575,0.00082775543],"about_ca_topic_score_codex":0.00005921003,"about_ca_topic_score_gemma":0.000017446357,"teacher_disagreement_score":0.21059307,"about_ca_system_score_codex":0.000032534295,"about_ca_system_score_gemma":0.0000335338,"threshold_uncertainty_score":0.50792927},"labels":[],"label_agreement":null},{"id":"W4405442077","doi":"10.3390/app142411750","title":"From Recruitment to Retention: AI Tools for Human Resource Decision-Making","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Onboarding; Computer science; Analytics; Documentation; Personalization; Knowledge management; Data science; Psychology; World Wide Web","score_opus":0.12199092970006711,"score_gpt":0.34951664108016595,"score_spread":0.22752571138009883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405442077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7320515,0.0005772532,0.068131484,0.015835684,0.0013755749,0.0026759868,0.000017851753,0.002132555,0.17720212],"genre_scores_gemma":[0.9903003,0.0000011762229,0.006160741,0.0022916358,0.0008339436,0.00024559218,0.000008595463,0.000010298112,0.00014771886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988442,0.0000013390339,0.00018252713,0.000460303,0.00027111257,0.00024049952],"domain_scores_gemma":[0.99951893,0.00022226077,0.00004498071,0.00018035086,0.000026351032,0.000007149856],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004887084,0.000108874716,0.000116992596,0.00024925408,0.00057941274,0.0018162791,0.0005088237,0.000053371197,0.00014378759],"category_scores_gemma":[0.0001076892,0.000084556326,0.00005400462,0.00071817037,0.000109355824,0.0006137391,0.00026688687,0.000070365066,0.00026890752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001201411,0.0000109195635,0.00006875627,0.000025724516,0.00000894689,0.0000026717378,0.000092722286,0.00007203367,0.002312897,0.5049065,0.054892827,0.43759403],"study_design_scores_gemma":[0.00006213081,0.000015680833,0.00027194194,0.000154107,0.000017510656,1.6249105e-7,0.0017077705,0.00061081996,0.00028819684,0.38244468,0.61427504,0.00015198399],"about_ca_topic_score_codex":0.000028254619,"about_ca_topic_score_gemma":0.00003596539,"teacher_disagreement_score":0.5593822,"about_ca_system_score_codex":0.000023031644,"about_ca_system_score_gemma":0.000012483819,"threshold_uncertainty_score":0.99921995},"labels":[],"label_agreement":null},{"id":"W4405444752","doi":"10.3390/app142411738","title":"Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interpretability; Transparency (behavior); Extant taxon; Mental health; Psychology; Computer science; Medical education; Engineering ethics; Artificial intelligence; Medicine; Engineering; Psychotherapist","score_opus":0.6665863548298849,"score_gpt":0.6687064610282837,"score_spread":0.0021201061983987524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405444752","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028527906,0.8623907,0.00088746427,0.09658172,0.0014855178,0.0053724013,0.0000056196877,0.00021378498,0.004534862],"genre_scores_gemma":[0.88710344,0.098600596,0.008374777,0.004947622,0.00022889096,0.00028201877,0.000053736003,0.000019255338,0.00038969622],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963322,0.0014061915,0.0006078496,0.0004490157,0.0008039464,0.0004007773],"domain_scores_gemma":[0.9986364,0.00081122015,0.00006815079,0.00019852252,0.00010127761,0.00018441095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025718689,0.000107344655,0.00035191656,0.0003661082,0.0004705505,0.00019260886,0.00021312204,0.000078472905,0.000048951788],"category_scores_gemma":[0.00065080804,0.00007436229,0.00003962209,0.0019115969,0.00020584412,0.00014382748,0.00004943297,0.0012918317,0.000053111737],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006220626,0.00068572763,0.003099544,0.44667116,0.00005213669,0.00005612775,0.32131103,0.00003089504,0.0039123036,0.048029926,0.0024381932,0.17365077],"study_design_scores_gemma":[0.00017739933,0.0032626863,0.00079909747,0.80115646,0.00007956889,0.00031779447,0.13996571,0.019236801,0.0033711372,0.008972954,0.022004269,0.00065614504],"about_ca_topic_score_codex":0.00024503912,"about_ca_topic_score_gemma":0.00017938613,"teacher_disagreement_score":0.8585755,"about_ca_system_score_codex":0.00023550651,"about_ca_system_score_gemma":0.00065181026,"threshold_uncertainty_score":0.89136356},"labels":[],"label_agreement":null},{"id":"W4405514180","doi":"10.3390/app142411790","title":"A Survey of Grapheme-to-Phoneme Conversion Methods","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Grapheme; Computer science; Natural language processing; Physics","score_opus":0.03871143839641628,"score_gpt":0.3668908844547667,"score_spread":0.3281794460583504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405514180","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005458298,0.0023611684,0.9886192,0.00034916415,0.0003414509,0.00014939927,0.000003049543,0.00052348763,0.0021947734],"genre_scores_gemma":[0.48766318,0.000004317354,0.5121537,0.00013766071,0.0000065663417,0.0000067108763,5.5399863e-7,0.0000025017848,0.000024836652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869215,0.000080351936,0.00017999359,0.00047190665,0.0003608854,0.00021471533],"domain_scores_gemma":[0.99915767,0.00039227438,0.000045890265,0.0002726258,0.00006604913,0.000065486005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029893448,0.00009964459,0.00014464767,0.00031113674,0.00011273418,0.0002218813,0.0014720846,0.000044135348,0.000014274741],"category_scores_gemma":[0.00009937243,0.00007379091,0.00003256979,0.0031774202,0.00021300612,0.0002773999,0.0003780568,0.0000995345,0.000026102327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006165981,0.000027492773,0.00034797363,0.00010056721,0.00001302002,0.000006840726,0.0015816288,0.000011445475,0.246905,0.4263952,0.0041181445,0.32048652],"study_design_scores_gemma":[0.00007887941,0.0001584643,0.00151117,0.00010895186,0.000006573602,0.000007800985,0.00006898884,0.022903947,0.8739076,0.098229446,0.0026365453,0.00038163524],"about_ca_topic_score_codex":0.00020199164,"about_ca_topic_score_gemma":0.000013596864,"teacher_disagreement_score":0.6270026,"about_ca_system_score_codex":0.000014977329,"about_ca_system_score_gemma":0.00012819983,"threshold_uncertainty_score":0.3009106},"labels":[],"label_agreement":null},{"id":"W4405573668","doi":"10.3390/app142411893","title":"Can Digital Activism Change Sustainable Supply Chain Practices in the Agricultural Bioeconomy? Evidence from #Buttergate","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Supply chain; Business; Agriculture; Political science; Marketing; Geography","score_opus":0.024297458555672346,"score_gpt":0.30710476057589897,"score_spread":0.28280730202022664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405573668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095654,0.0028147106,0.00018918935,0.0035730996,0.00010769438,0.00025102406,0.000012063046,0.000016388916,0.002079313],"genre_scores_gemma":[0.99896264,0.00015347592,0.00008675054,0.00017907105,0.0002970278,0.00010202407,0.000021985416,0.0000052205974,0.00019179066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999112,0.000015850479,0.000101441925,0.00036935465,0.00012637029,0.00027498195],"domain_scores_gemma":[0.9996902,0.00008398615,0.000041341937,0.00014126534,0.000011364583,0.00003188642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032863513,0.000111538335,0.00007162034,0.000042292257,0.00009784772,0.00043472918,0.00036018708,0.000047310874,0.00000870736],"category_scores_gemma":[0.000049664555,0.000069336325,0.000030576437,0.0002442336,0.00010959547,0.00003668173,0.00009673534,0.000085788844,0.000009146209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033372187,0.00007039143,0.0072389687,0.000114368246,0.00006204221,0.000056624736,0.011175396,0.00053765404,0.9515809,0.0034814302,0.0027449285,0.022903943],"study_design_scores_gemma":[0.0006791579,0.00085313723,0.13312809,0.0003343084,0.00008361004,0.000103045975,0.10286484,0.00291443,0.62874347,0.003549634,0.12486073,0.0018855821],"about_ca_topic_score_codex":0.00034132996,"about_ca_topic_score_gemma":0.0002179357,"teacher_disagreement_score":0.32283744,"about_ca_system_score_codex":0.0000135397795,"about_ca_system_score_gemma":0.00005232447,"threshold_uncertainty_score":0.41921034},"labels":[],"label_agreement":null},{"id":"W4405574289","doi":"10.3390/app142411884","title":"Measuring Electromagnetic Properties of Vegetal Soil for Wireless Underground Sensor Networks in Precision Agriculture","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Université Laval","funders":"Université de Tunis El Manar; Université de Tunis","keywords":"Dielectric; Wireless sensor network; Dielectric permittivity; Capacitance; Soil moisture sensor; Permittivity; Electronic engineering; Electrical engineering; Materials science; Wireless; Environmental science; Acoustics; Soil science; Water content; Remote sensing; Optoelectronics; Engineering; Computer science; Telecommunications; Geotechnical engineering; Geography; Physics; Computer network","score_opus":0.019904634520183928,"score_gpt":0.20595578402750622,"score_spread":0.1860511495073223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405574289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780535,0.0008238997,0.00071828393,0.00013384617,0.00018294482,0.00030624593,1.7409324e-7,0.000036680973,0.019744443],"genre_scores_gemma":[0.9986986,0.00002933432,0.0009855,0.000031263906,0.00006877804,0.0000064432575,6.526794e-7,0.000007530805,0.00017191081],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879783,0.000020162694,0.00018836222,0.0003710852,0.00032758134,0.00029494616],"domain_scores_gemma":[0.99975747,0.0000789037,0.000037659647,0.000085256164,0.000005723608,0.000035008692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040293953,0.00011763684,0.00014045092,0.00004848543,0.00014529377,0.000083971114,0.00018309541,0.00007237947,0.0000044246895],"category_scores_gemma":[0.000011063958,0.00007333453,0.000045756187,0.0005803385,0.00035670598,0.00012058935,0.00006530369,0.00011169836,0.000009981662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017935265,0.000027789558,0.00044743027,0.000041608288,0.0000046972173,0.0000023813266,0.00058457704,0.017675709,0.94797343,0.00038342923,0.00014870864,0.03269233],"study_design_scores_gemma":[0.0009813723,0.000721949,0.09991547,0.0010934315,0.000096447904,0.000115281684,0.0034467045,0.22536519,0.6585769,0.007088882,0.0013254264,0.0012729618],"about_ca_topic_score_codex":0.00022810823,"about_ca_topic_score_gemma":0.002357464,"teacher_disagreement_score":0.28939652,"about_ca_system_score_codex":0.000073284864,"about_ca_system_score_gemma":0.000021218155,"threshold_uncertainty_score":0.29904953},"labels":[],"label_agreement":null},{"id":"W4405697344","doi":"10.3390/app142411975","title":"Workload Assessment of Operators: Correlation Between NASA-TLX and Pupillary Responses","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Workload; Pupil diameter; Pupillary response; Pupillometry; Eye tracking; Task (project management); Psychology; Audiology; Pupil; Correlation; Pupil size; Ophthalmology; Medicine; Computer science; Artificial intelligence; Mathematics; Engineering","score_opus":0.04805371780140312,"score_gpt":0.42066683688223633,"score_spread":0.3726131190808332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405697344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77140135,0.00029628348,0.0026588668,0.0004314687,0.00072329445,0.00015292013,0.000009301084,0.00010105261,0.22422549],"genre_scores_gemma":[0.99789333,0.000014449036,0.00058678037,0.0000877392,0.000083058694,0.000023543485,0.0000033965985,0.000004735913,0.001302993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908835,0.000077360586,0.0002470133,0.00026043144,0.00020921018,0.00011762576],"domain_scores_gemma":[0.9993405,0.00043380505,0.000055811986,0.00010545313,0.00002277142,0.000041687177],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000732755,0.0000746422,0.000113938884,0.00018689493,0.00016437063,0.000102285005,0.00009114701,0.000056939494,0.0014752746],"category_scores_gemma":[0.000015858319,0.000060398055,0.000023755865,0.0003666887,0.0002358569,0.00013672303,0.000029508163,0.000112671856,0.00012327955],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056775607,0.00009100275,0.13420726,0.00005846252,0.00013967317,0.000009026263,0.00895633,0.00013980677,0.005752521,0.76381356,0.009392217,0.07738337],"study_design_scores_gemma":[0.0003266884,0.00018346525,0.96202433,0.00012254859,0.000033250177,0.000017250071,0.0046329643,0.002883734,0.0005970957,0.0025927078,0.02634474,0.00024120123],"about_ca_topic_score_codex":0.000015063069,"about_ca_topic_score_gemma":0.000004430986,"teacher_disagreement_score":0.8278171,"about_ca_system_score_codex":0.000019303074,"about_ca_system_score_gemma":0.00006950264,"threshold_uncertainty_score":0.9994375},"labels":[],"label_agreement":null},{"id":"W4405737552","doi":"10.3390/app15010032","title":"Influence of Drilling Along Pilot Holes on Drilling Performance and Effective Rock Strength","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drilling; Petroleum engineering; Geology; Geotechnical engineering; Materials science; Metallurgy","score_opus":0.006055382826207955,"score_gpt":0.19791528935083993,"score_spread":0.19185990652463197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405737552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99127764,0.00052169996,0.004360729,0.0000052144464,0.00016760969,0.00012128083,0.0000022502572,0.00031951454,0.0032240613],"genre_scores_gemma":[0.99894327,0.000245983,0.0006944652,0.00000740429,0.000064429056,0.000018585084,6.9193004e-7,0.000018297775,0.000006894321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910086,0.0000044646217,0.0001764267,0.0002588869,0.00021164308,0.00024772913],"domain_scores_gemma":[0.9996018,0.00022012867,0.000017085798,0.00009712652,0.000011218751,0.00005268066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984634,0.00015755632,0.0001581396,0.00017293137,0.00011760359,0.0000809346,0.00014321941,0.00003548288,0.0000014048305],"category_scores_gemma":[0.000012079034,0.00013528281,0.000020155285,0.0004210289,0.00011280291,0.00016833919,0.00002509211,0.0001627219,0.000015630845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024169985,0.0000039525085,0.00027238566,0.0002082831,0.000012846258,9.435139e-7,0.00036472644,0.9637787,0.023205977,0.002927122,0.0000056946606,0.009216977],"study_design_scores_gemma":[0.00008760863,0.00012071029,0.0023840603,0.00049028214,0.000011637223,0.0000032085,0.000100548925,0.89760023,0.09849488,0.00017313358,0.00030874563,0.00022494847],"about_ca_topic_score_codex":0.000005293732,"about_ca_topic_score_gemma":0.0000014740355,"teacher_disagreement_score":0.0752889,"about_ca_system_score_codex":0.000020807545,"about_ca_system_score_gemma":0.000012270178,"threshold_uncertainty_score":0.55166733},"labels":[],"label_agreement":null},{"id":"W4405757753","doi":"10.3390/app15010024","title":"Error Modeling of Fiber Optic Gyroscope Universal Time Measurement","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Peking University","keywords":"Nutation; Universal Time; Fibre optic gyroscope; Very-long-baseline interferometry; Gyroscope; Calibration; Physics; Geodesy; Optical fiber; Mathematics; Optics; Statistics; Geology","score_opus":0.02387553435763746,"score_gpt":0.211875855623112,"score_spread":0.18800032126547456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405757753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9283406,0.00035065616,0.0019178675,0.00006966069,0.00016846567,0.00009012593,0.000002542285,0.00034523752,0.06871485],"genre_scores_gemma":[0.9984179,0.000004653543,0.0014777051,0.0000030248405,0.000013949147,0.000002762398,4.1496895e-7,0.0000065667386,0.000073013136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946344,0.0000020270688,0.00008607205,0.00011083035,0.0001976208,0.0001400289],"domain_scores_gemma":[0.99987084,0.00001034371,0.000005996851,0.000081317965,0.000013484821,0.000018041668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014026545,0.000062635736,0.00008350616,0.00008006522,0.00003739385,0.00002261993,0.00015454036,0.00003475867,0.000060333845],"category_scores_gemma":[0.000002036058,0.000054400658,0.000018965216,0.00027994672,0.00008544466,0.00004382496,0.000020641963,0.000066883505,0.00020179189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010353081,0.000007719069,7.90283e-7,0.000046022167,0.000021790851,0.000002337483,0.00027879234,0.7144435,0.23919474,0.041910008,0.0002953153,0.00379793],"study_design_scores_gemma":[0.00003169403,0.000016180324,0.0000020274588,0.00001732758,0.000008059448,7.65879e-7,0.00018057942,0.9858099,0.011258877,0.002120717,0.00047926247,0.000074568816],"about_ca_topic_score_codex":0.000008792421,"about_ca_topic_score_gemma":0.0000012392776,"teacher_disagreement_score":0.27136642,"about_ca_system_score_codex":0.000022183178,"about_ca_system_score_gemma":0.000020774476,"threshold_uncertainty_score":0.25936937},"labels":[],"label_agreement":null},{"id":"W4405808886","doi":"10.3390/app15010105","title":"IoT, Blockchain, Big Data and Artificial Intelligence (IBBA) Framework—For Real-Time Food Safety Monitoring","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Blockchain; Big data; Computer science; Internet of Things; Computer security; Data science; Data mining","score_opus":0.10543127783018913,"score_gpt":0.347726484808404,"score_spread":0.24229520697821488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405808886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88947034,0.0054974714,0.06354358,0.0011944395,0.00096141244,0.00031723283,0.00038683668,0.0007172667,0.037911437],"genre_scores_gemma":[0.9858593,0.00021487691,0.012598571,0.000018482075,0.0010556359,0.000019939607,0.000011590425,0.000014212356,0.00020743531],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982843,0.000004625383,0.0002727692,0.00075925904,0.00031411045,0.0003649785],"domain_scores_gemma":[0.99865276,0.00075556524,0.000057834237,0.00041923713,0.000020854035,0.00009372648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053008675,0.00016775048,0.00020694699,0.00014461527,0.0003929097,0.000305587,0.00076613086,0.00012233986,0.00015172966],"category_scores_gemma":[0.00016622755,0.00014292603,0.00003795077,0.0010793732,0.00039745454,0.00004854743,0.00026173773,0.00019267942,0.00002854166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081611746,0.00012347431,0.0005574512,0.00042000404,0.00027093207,0.0000077327195,0.0011107955,0.00037883513,0.54053444,0.17909585,0.00041792996,0.27700093],"study_design_scores_gemma":[0.000037574697,0.0000663249,0.000020747322,0.000094052084,0.00015872058,0.0000065320337,0.0031643123,0.018449077,0.88024133,0.09544989,0.0019154566,0.00039595665],"about_ca_topic_score_codex":0.000021205164,"about_ca_topic_score_gemma":0.000005544558,"teacher_disagreement_score":0.33970693,"about_ca_system_score_codex":0.00003460024,"about_ca_system_score_gemma":0.000091333306,"threshold_uncertainty_score":0.58283544},"labels":[],"label_agreement":null},{"id":"W4405810169","doi":"10.3390/app15010093","title":"Effects of Active Video Games Combined with Conventional Physical Therapy on Perceived Functionality in Older Adults with Knee or Hip Osteoarthritis: A Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo","keywords":"WOMAC; Physical therapy; Osteoarthritis; Medicine; Randomized controlled trial; Physical medicine and rehabilitation; Internal medicine; Alternative medicine","score_opus":0.0076248637405184816,"score_gpt":0.26372517241563564,"score_spread":0.2561003086751172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405810169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903899,0.0001607135,0.000050975144,0.00034742433,0.00022653262,0.0073896954,0.000003599292,0.000040332972,0.0013908222],"genre_scores_gemma":[0.9972344,0.000021263546,0.00011211084,0.00013723952,0.00011252196,0.002119429,0.0000065715403,0.000008653585,0.00024783055],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99831444,0.00019247847,0.00029336187,0.00038427865,0.00065410224,0.00016134376],"domain_scores_gemma":[0.99438006,0.0052941176,0.00010485053,0.00008412198,0.00007743065,0.00005942403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005357842,0.00017010552,0.0009916378,0.00017026017,0.000059872942,0.000030032583,0.00005452075,0.000049712336,0.00011211948],"category_scores_gemma":[0.00019366179,0.00007649401,0.00021781685,0.0004260932,0.00090180355,0.00007915047,0.0000063418565,0.00015254969,0.0000065653303],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9881181,0.00081885303,0.00006668639,0.00012475946,0.00019292538,0.000008804491,0.0021788757,0.000013900829,0.001443103,0.002078583,0.000021014308,0.004934375],"study_design_scores_gemma":[0.9676374,0.008816301,0.018991789,0.0009431204,0.00009956742,0.0000049140663,0.0011406037,0.00035478,0.0015557471,0.0003332091,0.000011146097,0.000111410416],"about_ca_topic_score_codex":0.000018217077,"about_ca_topic_score_gemma":0.000014200689,"teacher_disagreement_score":0.020480707,"about_ca_system_score_codex":0.00003739419,"about_ca_system_score_gemma":0.00039249717,"threshold_uncertainty_score":0.33227327},"labels":[],"label_agreement":null},{"id":"W4405920642","doi":"10.3390/app15010151","title":"Structural Designing of Supersonic Swirling Devices Based on Computational Fluid Dynamics Theory","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre Scientifique et Technique du Bâtiment; Chongqing Municipal Education Commission; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Supersonic speed; Computational fluid dynamics; Computer science; Aerospace engineering; Mechanics; Physics; Engineering","score_opus":0.009829832093041313,"score_gpt":0.2255845229398944,"score_spread":0.2157546908468531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405920642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69122356,0.00016990113,0.30386433,0.000039994924,0.00029496534,0.00008686709,0.000023414423,0.00017284603,0.0041241474],"genre_scores_gemma":[0.9845771,0.0000019935944,0.015281377,0.000043824166,0.00003410473,0.0000051804054,0.000034499,0.000015545771,0.0000063841258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990557,0.000014030803,0.00019647018,0.00021954231,0.00033240093,0.00018185034],"domain_scores_gemma":[0.999233,0.0006223213,0.000016568913,0.00006761617,0.000024918807,0.000035570563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039717022,0.00013098463,0.00012100913,0.00019406919,0.00013726168,0.000114988536,0.00020688109,0.000036193236,0.00002319283],"category_scores_gemma":[0.000008363514,0.0001158223,0.000050489743,0.00048265196,0.00014325338,0.000088722656,0.000018687446,0.00010551781,0.000008456137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025218533,0.0000023309035,0.00009027939,0.000040428276,0.000009363978,9.519567e-7,0.000085174295,0.73734987,0.00080660067,0.25791615,0.0000042361207,0.0036921022],"study_design_scores_gemma":[0.000064808475,0.000024930794,0.0009079648,0.000052919415,0.000008221851,0.0000017990285,0.00018633097,0.97828496,0.00012874708,0.020203004,0.0000039702986,0.00013233346],"about_ca_topic_score_codex":0.000002896694,"about_ca_topic_score_gemma":0.000012348938,"teacher_disagreement_score":0.29335356,"about_ca_system_score_codex":0.00007814672,"about_ca_system_score_gemma":0.00008605569,"threshold_uncertainty_score":0.47230965},"labels":[],"label_agreement":null},{"id":"W4405930421","doi":"10.3390/app15010188","title":"The Use and Impact of Virtual Reality Programs Supported by Aromatherapy for Older Adults: A Scoping Review","year":2024,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Simon Fraser University; International Collaboration On Repair Discoveries; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Canada Research Chairs","keywords":"Aromatherapy; Psychology; Applied psychology; Medicine; Alternative medicine","score_opus":0.33385468421791265,"score_gpt":0.4175937520734035,"score_spread":0.08373906785549085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405930421","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048250327,0.9946767,0.00002380203,0.000054662534,0.00019759606,0.004284855,0.00014538878,0.00006538674,0.00006909414],"genre_scores_gemma":[0.0003977924,0.99860823,0.000017268158,0.00011670665,0.000034045574,0.00066588423,0.000011873527,0.000018468072,0.00012973703],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975767,0.00016479597,0.00070549786,0.00080677716,0.00038424134,0.0003619968],"domain_scores_gemma":[0.9975789,0.0015415563,0.00047939245,0.00029457276,0.000043031916,0.000062504965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047413,0.00036056983,0.0010992887,0.0000659545,0.00065022527,0.00028232214,0.00038346747,0.000090083384,0.000008288536],"category_scores_gemma":[0.000345755,0.00016950553,0.00038782187,0.00078157213,0.0011828954,0.00016009253,0.00008873866,0.00017606305,0.0000070655933],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018334158,0.000052661388,0.0000019198296,0.03566778,0.000058190744,7.8673753e-7,0.00019795194,1.6291261e-7,0.000049090242,0.0007199528,0.0060908645,0.9571423],"study_design_scores_gemma":[0.00029700756,0.0006519884,0.000002737851,0.19678104,0.00067602773,0.00003230937,0.00020322918,0.000019951669,0.00009076651,0.00019573903,0.80042326,0.0006259532],"about_ca_topic_score_codex":0.0000075962107,"about_ca_topic_score_gemma":0.0000061689857,"teacher_disagreement_score":0.9565163,"about_ca_system_score_codex":0.00002734024,"about_ca_system_score_gemma":0.00027081615,"threshold_uncertainty_score":0.69122344},"labels":[],"label_agreement":null},{"id":"W4405966062","doi":"10.3390/app15010339","title":"Surface Plasmon Mediated Angular and Wavelength Tunable Retroreflectors Using Parallel-Superimposed Surface Relief Bi-Gratings","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Coatings and Gratings","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retroreflector; Optics; Materials science; Wavelength; Surface plasmon; Optoelectronics; Plasmon; Physics; Laser","score_opus":0.02068250985060453,"score_gpt":0.2733228841902177,"score_spread":0.25264037433961317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405966062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910851,0.00023208275,0.0002528159,0.00040479808,0.00020712522,0.00033142738,0.000009945183,0.0001656799,0.0073109996],"genre_scores_gemma":[0.9375664,0.000019662797,0.061773907,0.00036771316,0.000021822794,0.0000054549446,0.000003946784,0.000014372916,0.00022673888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730223,0.00007426008,0.00047946713,0.0008620316,0.0005731451,0.0007088489],"domain_scores_gemma":[0.9988576,0.000453458,0.00018201738,0.0002565406,0.00009222249,0.00015816085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015833178,0.00029571098,0.0004037712,0.00008910725,0.0010362329,0.0005170753,0.0004764202,0.00014968836,0.00009604925],"category_scores_gemma":[0.00031909416,0.0002347111,0.00004391433,0.0012009776,0.0009121787,0.0003320438,0.00024354612,0.00020197665,0.000033828088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024324456,0.000029978077,0.002037727,0.00003249156,0.0000053774247,0.000002330138,0.00046465677,0.0012052011,0.9865567,0.009354383,0.00020547485,0.00008135577],"study_design_scores_gemma":[0.0010589485,0.0003332606,0.001718576,0.00015393097,0.00006322878,0.000007360975,0.0024707275,0.06731899,0.9192625,0.005728432,0.0010155924,0.000868428],"about_ca_topic_score_codex":0.00041915115,"about_ca_topic_score_gemma":0.000046927755,"teacher_disagreement_score":0.06729417,"about_ca_system_score_codex":0.00005854017,"about_ca_system_score_gemma":0.00021415336,"threshold_uncertainty_score":0.95712405},"labels":[],"label_agreement":null},{"id":"W4405966084","doi":"10.3390/app15010344","title":"Acute Myotonometric Changes in the Masseter and Upper Trapezius Muscles After Upper Body Quarter Stretching and Coordination Exercises or Chewing","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quarter (Canadian coin); Physical therapy","score_opus":0.026651197411603027,"score_gpt":0.2884511866845852,"score_spread":0.26179998927298215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405966084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932795,0.00020996861,0.000106599444,0.0035316742,0.000089701854,0.00044732608,0.0000062463796,0.000028052875,0.0023008846],"genre_scores_gemma":[0.99808735,0.00010812315,0.00029808193,0.0012517776,0.000019443683,0.00016362856,2.6372086e-7,0.000004383066,0.00006697896],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99878484,0.00005729446,0.00017397189,0.00046744733,0.00026486212,0.00025157537],"domain_scores_gemma":[0.9989792,0.0008356677,0.000040210532,0.000108425185,0.000011467945,0.000025036223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036670972,0.00014621404,0.00017223618,0.00045867628,0.00036506238,0.0002811724,0.0002082139,0.00004070841,0.000028561119],"category_scores_gemma":[0.000070936905,0.0000891893,0.000018408311,0.0013159856,0.00045322534,0.00020680741,0.00006138365,0.000094657145,0.0000023282396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063202373,0.0003125267,0.24375176,0.00021275243,0.00004162194,0.00004129084,0.047376927,0.000049188802,0.523976,0.026879856,0.00038280568,0.1563432],"study_design_scores_gemma":[0.0009542588,0.00015468165,0.98249036,0.00004788601,0.000059100363,0.000006854122,0.0061539463,0.0011253954,0.005626527,0.0025229496,0.0006026218,0.00025544106],"about_ca_topic_score_codex":0.000014417028,"about_ca_topic_score_gemma":0.000048429065,"teacher_disagreement_score":0.7387386,"about_ca_system_score_codex":0.00001064624,"about_ca_system_score_gemma":0.000018061139,"threshold_uncertainty_score":0.3637034},"labels":[],"label_agreement":null},{"id":"W4406087577","doi":"10.3390/app15010455","title":"Retrofitting of a Multi-Span Simply Supported Bridge into a Semi-Integral Bridge","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Longyan University; National Natural Science Foundation of China","keywords":"Bridge (graph theory); Retrofitting; Span (engineering); Structural engineering; Engineering; Medicine","score_opus":0.02705084389474179,"score_gpt":0.28342378280451896,"score_spread":0.2563729389097772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406087577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97524214,0.00007644316,0.014663755,0.00013639369,0.0002469014,0.00020483226,0.0000072386656,0.00024595324,0.009176325],"genre_scores_gemma":[0.9981465,0.000009141161,0.0015745407,0.00014759977,0.000016833237,0.000017365834,0.0000036766912,0.0000070505216,0.000077298],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988293,0.000016999289,0.0003474834,0.0003047744,0.00021496385,0.0002864952],"domain_scores_gemma":[0.9994395,0.00014656245,0.0000478131,0.0002510336,0.000044632405,0.00007049149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917241,0.00014352812,0.00024187416,0.00014634826,0.000207684,0.000037682814,0.0003646116,0.000065583976,0.00005492646],"category_scores_gemma":[0.00012915478,0.00012743879,0.000071648064,0.00085839815,0.0003101576,0.000081252205,0.00013111421,0.00015449904,0.000011443136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039386912,0.000060546005,0.08759308,0.0003795986,0.000034026805,0.0000042732067,0.0047657643,0.002086731,0.83423406,0.008448188,0.0044661406,0.057888184],"study_design_scores_gemma":[0.001351836,0.00009357438,0.3787596,0.00016870702,0.00004570591,0.000004719075,0.0018136525,0.2938062,0.31668916,0.0017305403,0.0048350925,0.0007012216],"about_ca_topic_score_codex":0.00025962343,"about_ca_topic_score_gemma":0.00022353699,"teacher_disagreement_score":0.5175449,"about_ca_system_score_codex":0.00004843181,"about_ca_system_score_gemma":0.00008597601,"threshold_uncertainty_score":0.5196803},"labels":[],"label_agreement":null},{"id":"W4406087701","doi":"10.3390/app15010457","title":"Consideration of Rocking Wind Turbine Foundations on Undrained Clay with an Efficient Constitutive Model","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geotechnical engineering; Turbine; Critical state soil mechanics; Constitutive equation; Geology; Engineering; Structural engineering; Mechanical engineering; Finite element method","score_opus":0.016095832062406362,"score_gpt":0.2412431355648761,"score_spread":0.22514730350246973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406087701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44598284,0.000015006663,0.5014228,0.0000675463,0.000102234655,0.00019037016,0.0000039588413,0.00021623285,0.05199898],"genre_scores_gemma":[0.99553233,0.0000013557152,0.0043845666,0.000042211814,0.000006626101,0.0000100589,0.0000028928594,0.0000044310345,0.000015533422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940735,0.0000045788165,0.00013562657,0.00015862614,0.00015861787,0.00013521552],"domain_scores_gemma":[0.999717,0.00007488691,0.00002034415,0.00012324259,0.000032662087,0.00003184061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016864245,0.00009103245,0.00011436952,0.00012358205,0.00014457943,0.00003359207,0.00010721862,0.000044365574,0.0000024484796],"category_scores_gemma":[0.000023548018,0.000074759344,0.000013685937,0.00038536833,0.00014467989,0.000042439922,0.000012173661,0.00009333083,0.0000019779566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041200624,0.0000130658755,6.79799e-7,0.000008193382,0.000005149311,1.4769485e-7,0.00007200618,0.7429703,0.0030140618,0.2535361,0.000005260432,0.0003709298],"study_design_scores_gemma":[0.00017172188,0.00006889911,0.000012261551,0.00003772661,0.000009347838,5.5684075e-7,0.00011582785,0.9815278,0.014237459,0.0037139338,0.00001877047,0.000085711035],"about_ca_topic_score_codex":0.0000038977114,"about_ca_topic_score_gemma":0.0000083138175,"teacher_disagreement_score":0.54954946,"about_ca_system_score_codex":0.000029015033,"about_ca_system_score_gemma":0.0000853481,"threshold_uncertainty_score":0.30485976},"labels":[],"label_agreement":null},{"id":"W4406099178","doi":"10.3390/app15010447","title":"Determination of Polycyclic Aromatic Hydrocarbons (PAHs) Transfer from Dried Medicinal Plants in Infusions for Therapeutic Purposes","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Fluoranthene; Chemistry; Extraction (chemistry); Pyrene; Chromatography; Environmental chemistry; Gas chromatography; Contamination; Phenanthrene","score_opus":0.01639966044651836,"score_gpt":0.2668349809420745,"score_spread":0.2504353204955561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406099178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834391,0.0000582366,0.0063743414,0.00049180543,0.000109939356,0.00047262997,0.000027811859,0.000024855162,0.0090012895],"genre_scores_gemma":[0.9983434,0.000014260006,0.0012360492,0.00031298245,0.0000100098305,0.000031884414,0.0000015383008,0.0000053080744,0.000044562727],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986942,0.000035279885,0.00033852007,0.00029837366,0.00034507547,0.0002885645],"domain_scores_gemma":[0.999254,0.00046458814,0.000059358004,0.00016767482,2.2240033e-7,0.00005419721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089308,0.00012161195,0.00020147934,0.00013554808,0.00013972356,0.000019185878,0.00043968315,0.000064738764,0.00009853269],"category_scores_gemma":[0.0000621815,0.000098467506,0.000029577539,0.0006460432,0.00059069885,0.00012339013,0.00004171809,0.00007076936,0.00001260185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003902168,0.0001084268,0.0075505,0.0000027800706,0.000008825936,8.678192e-7,0.0017078226,0.000008851422,0.75269246,0.00028186504,0.00002929812,0.23756929],"study_design_scores_gemma":[0.0017893831,0.00020284415,0.62926644,0.000115962524,0.00006549759,0.0000030979468,0.0018761335,0.010199275,0.2589337,0.096866645,0.00032903772,0.0003519819],"about_ca_topic_score_codex":0.00022273204,"about_ca_topic_score_gemma":0.00096650963,"teacher_disagreement_score":0.62171596,"about_ca_system_score_codex":0.00007255568,"about_ca_system_score_gemma":0.00007086033,"threshold_uncertainty_score":0.40153882},"labels":[],"label_agreement":null},{"id":"W4406171448","doi":"10.3390/app15020545","title":"Artificial Taste: Advances and Innovative Applications in Healthcare","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Health care; Taste; Medicine; Psychology; Political science; Neuroscience","score_opus":0.12475812625001804,"score_gpt":0.3405965972492132,"score_spread":0.21583847099919518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406171448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9402973,0.00067583343,0.0011807855,0.004776671,0.0002818912,0.00064747705,0.000013071275,0.0000915943,0.052035343],"genre_scores_gemma":[0.9983801,0.000062219464,0.000108688095,0.001188135,0.000017663726,0.00009660658,4.077694e-7,0.0000016030673,0.00014456137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908704,0.000034296972,0.00017712936,0.00038737984,0.00013872935,0.00017540256],"domain_scores_gemma":[0.9995388,0.00029025754,0.000049407325,0.00007941476,0.00002417314,0.000017970502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019245733,0.00008099213,0.00011473724,0.00018410002,0.00060435553,0.00004539742,0.0001262003,0.000025623012,0.0000063857337],"category_scores_gemma":[0.00008760664,0.000064871565,0.000007908318,0.0020537789,0.0006873547,0.0001409129,0.000057636007,0.000098594115,0.000014278939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017468468,0.000037424506,0.009951692,0.000027207117,9.816971e-7,4.5657785e-7,0.0004668607,0.000037062917,0.045817334,0.9206615,0.00008635158,0.022895636],"study_design_scores_gemma":[0.00045291692,0.0001240219,0.030053044,0.000042864616,0.0000078930125,0.0000030658382,0.01716736,0.00021402094,0.46999282,0.36680806,0.11454636,0.00058756606],"about_ca_topic_score_codex":0.0000068807108,"about_ca_topic_score_gemma":0.000063209576,"teacher_disagreement_score":0.55385345,"about_ca_system_score_codex":0.000014217749,"about_ca_system_score_gemma":0.000052613566,"threshold_uncertainty_score":0.46482754},"labels":[],"label_agreement":null},{"id":"W4406213363","doi":"10.3390/app15020594","title":"Acoustic Emission Analysis of the Cracking Behavior in ECC-LWSCC Composites","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinectrics (Canada); Memorial University of Newfoundland","funders":"","keywords":"Composite material; Materials science; Acoustic emission; Cracking","score_opus":0.013087060723197303,"score_gpt":0.2861540920753309,"score_spread":0.27306703135213356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406213363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994296,0.00003930519,0.0013277577,0.0001055098,0.00023967828,0.00021399428,0.000009891297,0.000028240376,0.0037395847],"genre_scores_gemma":[0.9978464,0.0000037436475,0.0019208011,0.00009146942,0.000008778385,0.000040204122,8.5361484e-7,0.0000034630011,0.00008428418],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985914,0.00007039872,0.00037283424,0.00036947455,0.00033921946,0.00025664276],"domain_scores_gemma":[0.999108,0.00033331098,0.00018592241,0.00031982377,0.000028475824,0.000024462575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007636606,0.000115366034,0.00031112993,0.00031295986,0.00026259056,0.00007401672,0.00076916534,0.00004849721,0.0002488844],"category_scores_gemma":[0.000106044805,0.00007539752,0.00006546382,0.0021846013,0.0005180277,0.00009996742,0.00022579115,0.00005428185,0.000006400445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008869059,0.000041266976,0.0130126,0.000012737645,0.000006756321,4.192733e-7,0.00012138726,0.009069596,0.97552836,0.0016439712,0.000009256681,0.0005447947],"study_design_scores_gemma":[0.000079122234,0.0000068349677,0.055170875,0.000038527727,0.00018674614,2.6889427e-7,0.0002910137,0.0016065728,0.9414047,0.001105016,0.000020187375,0.000090132045],"about_ca_topic_score_codex":0.00008991708,"about_ca_topic_score_gemma":0.00011896903,"teacher_disagreement_score":0.042158276,"about_ca_system_score_codex":0.00005036788,"about_ca_system_score_gemma":0.00007862758,"threshold_uncertainty_score":0.30746216},"labels":[],"label_agreement":null},{"id":"W4406254453","doi":"10.3390/app15020610","title":"Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Net (polyhedron); Zero (linguistics); Reliability (semiconductor); Reliability engineering; Environmental science; Computer science; Mathematics; Physics; Engineering; Thermodynamics","score_opus":0.00525740328554198,"score_gpt":0.2155713209136725,"score_spread":0.21031391762813054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406254453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87205297,0.00038902133,0.060866363,0.000333312,0.00051546877,0.0010241813,0.000016113005,0.00041691813,0.06438567],"genre_scores_gemma":[0.99582577,0.000010408242,0.0038278536,0.000017503517,0.000012275942,0.0001393367,0.000005885577,0.000007783551,0.000153211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984896,0.000066844375,0.0004353482,0.00043842598,0.00025155695,0.00031822323],"domain_scores_gemma":[0.9991601,0.0003954982,0.00006964198,0.00024773454,0.000060312363,0.00006668684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014561327,0.00020149398,0.00032230836,0.0001519657,0.00032239992,0.0001224708,0.00020108343,0.00009998507,0.0000047502986],"category_scores_gemma":[0.00006912555,0.00015202643,0.000021107517,0.00071315194,0.00066086947,0.00021542734,0.00007282644,0.0002060128,0.0000013652941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006094257,0.00009035242,0.25169256,0.0019356346,0.000040144565,0.0000064947676,0.002476769,0.4733511,0.0034627116,0.26543045,0.00076797634,0.00068487343],"study_design_scores_gemma":[0.0017225636,0.00023782162,0.08734968,0.002258097,0.00006387393,0.00001878749,0.021632904,0.85734653,0.0031499967,0.024037123,0.0011982677,0.0009843413],"about_ca_topic_score_codex":0.00038593577,"about_ca_topic_score_gemma":0.00012800649,"teacher_disagreement_score":0.38399547,"about_ca_system_score_codex":0.0002452737,"about_ca_system_score_gemma":0.00018010492,"threshold_uncertainty_score":0.6199458},"labels":[],"label_agreement":null},{"id":"W4406305669","doi":"10.3390/app15020714","title":"The Genetic and Imaging Key to Understanding Bicuspid Aortic Valve Disease","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Mach-Gaensslen Foundation of Canada","keywords":"Bicuspid aortic valve; Key (lock); Medicine; Cardiology; Internal medicine; Aortic valve; Computer science; Computer security","score_opus":0.02000356533095128,"score_gpt":0.3331422895328593,"score_spread":0.313138724201908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406305669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691292,0.002714078,0.0009939712,0.0043833214,0.00017723742,0.00053863897,0.000004281616,0.000038438284,0.022020807],"genre_scores_gemma":[0.99862266,0.00007172938,0.00015329117,0.0009511093,0.00002534591,0.000041587384,9.144469e-7,0.0000036060874,0.00012975755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992451,0.000008403209,0.00009377668,0.0002485106,0.00019583586,0.00020836185],"domain_scores_gemma":[0.9995461,0.00009395113,0.000018165163,0.00014826085,0.0000111931295,0.00018230797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012168885,0.000079810234,0.00009426054,0.00007056948,0.00053815334,0.000129938,0.000070168586,0.0000073675164,0.000005452148],"category_scores_gemma":[0.000035146295,0.00004869425,0.0001275223,0.00034448266,0.00026542405,0.000025623136,0.000066231085,0.00002884873,0.00001133142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009442163,0.000054284515,0.9149116,0.000036209498,0.00017632732,0.0000068489785,0.00019948016,0.000035901256,0.00034601756,0.06351356,0.00082078745,0.01980453],"study_design_scores_gemma":[0.00041634057,0.00002222852,0.9792574,0.000048023936,0.00038375024,9.445593e-7,0.0011843409,0.00032682816,0.00004734395,0.017651629,0.0005823663,0.000078774334],"about_ca_topic_score_codex":0.000014660855,"about_ca_topic_score_gemma":0.0000018720879,"teacher_disagreement_score":0.0643458,"about_ca_system_score_codex":0.00006175197,"about_ca_system_score_gemma":0.000103469516,"threshold_uncertainty_score":0.4139095},"labels":[],"label_agreement":null},{"id":"W4406325529","doi":"10.3390/app15020723","title":"Agreement Between Tele- and Face-to-Face Assessment of Neuromotor Development in High-Risk Children","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inter-rater reliability; Kappa; Reliability (semiconductor); Medicine; Cohen's kappa; Movement assessment; Pediatrics; Physical medicine and rehabilitation; Psychology; Physical therapy; Developmental psychology; Motor skill; Rating scale; Psychiatry; Computer science","score_opus":0.013606845630597875,"score_gpt":0.2848742392693792,"score_spread":0.27126739363878133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406325529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98943967,0.00003893251,0.00028428852,0.00037591116,0.00006787935,0.00079523923,0.000012063074,0.000016490272,0.008969511],"genre_scores_gemma":[0.98294324,0.000017805474,0.016636062,0.00022472671,0.000015682215,0.000045575536,0.000020326668,0.0000036129777,0.00009296009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986605,0.00002319121,0.00033209365,0.00036001462,0.00038043357,0.00024377946],"domain_scores_gemma":[0.9996006,0.00007627737,0.0000827789,0.00013859174,0.000025903879,0.0000758787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006529021,0.00013434482,0.00028775432,0.00028769887,0.00013099032,0.000025385178,0.00018631353,0.000046754547,0.000017220567],"category_scores_gemma":[0.00001979292,0.0001078612,0.000017198337,0.00055971456,0.000121865676,0.00003987675,0.00016734721,0.00012449049,0.0000029077248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001244512,0.000013306229,0.97704935,0.00003850121,0.000031227366,0.000001181516,0.0012926608,0.000017704528,0.0011517174,0.00073850615,0.00007828819,0.01957512],"study_design_scores_gemma":[0.000670224,0.00009544706,0.98558605,0.00010371888,0.000024472261,7.075269e-7,0.0002309972,0.00002352265,0.012233935,0.00011433846,0.0007860897,0.0001304799],"about_ca_topic_score_codex":0.000051001112,"about_ca_topic_score_gemma":0.000022905479,"teacher_disagreement_score":0.01944464,"about_ca_system_score_codex":0.000051988216,"about_ca_system_score_gemma":0.00030916664,"threshold_uncertainty_score":0.4398452},"labels":[],"label_agreement":null},{"id":"W4406327963","doi":"10.3390/app15020664","title":"Development and Validation of a Capacitor–Current Circuit Model for Evaporation-Induced Electricity","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Electricity; Transient (computer programming); Renewable energy; Capacitor; Current (fluid); Evaporation; Grid; Computer science; Materials science; Environmental science; Electrical engineering; Voltage; Engineering; Physics","score_opus":0.11023624089060069,"score_gpt":0.34254222174432397,"score_spread":0.23230598085372328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406327963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6327808,0.000047835063,0.3630989,0.000055951696,0.00013470028,0.00031675087,0.0000018122897,0.0000317694,0.0035315056],"genre_scores_gemma":[0.943055,0.0000027895612,0.056645975,0.000031811647,0.000016539996,0.00017096082,0.000008301859,0.0000037012715,0.00006494588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990068,0.000029990013,0.00029373606,0.00029696058,0.00021409456,0.00015839812],"domain_scores_gemma":[0.99948907,0.0001310076,0.00012647141,0.0001283866,0.00009431713,0.000030752715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010467783,0.00008913927,0.0001314422,0.00018212532,0.00023563187,0.000047212896,0.0001820496,0.000048273425,0.0000032709006],"category_scores_gemma":[0.00009276632,0.000080800906,0.000018584082,0.0005217186,0.000084240506,0.00009730505,0.000021919313,0.00004865105,0.0000016717048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001393433,0.00005331524,0.0003092846,0.000052644482,0.000015456591,1.31973055e-8,0.0025076093,0.0030325777,0.35226113,0.5065579,0.00006498009,0.13513115],"study_design_scores_gemma":[0.0002566114,0.0000128592355,0.00047855685,0.000010260947,0.000013227611,1.4005522e-7,0.00015114785,0.057231937,0.8811177,0.059415635,0.0011925035,0.00011939849],"about_ca_topic_score_codex":0.000015484777,"about_ca_topic_score_gemma":0.000013756803,"teacher_disagreement_score":0.5288566,"about_ca_system_score_codex":0.000047106623,"about_ca_system_score_gemma":0.00029275077,"threshold_uncertainty_score":0.32949653},"labels":[],"label_agreement":null},{"id":"W4406328136","doi":"10.3390/app15020672","title":"C-SHAP: A Hybrid Method for Fast and Efficient Interpretability","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Interpretability; Computer science; Scalability; Cluster analysis; Machine learning; Artificial intelligence; Matching (statistics); Random forest; Medicine","score_opus":0.020130910978303634,"score_gpt":0.324695480043387,"score_spread":0.30456456906508333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406328136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026188578,0.00010904175,0.95646775,0.0015228804,0.00030192468,0.00051287975,0.0000026535554,0.00012156592,0.014772741],"genre_scores_gemma":[0.7823864,0.0000021831238,0.21673338,0.00064012187,0.0000150103115,0.00011487561,2.8185204e-7,0.0000025858262,0.00010515668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818987,0.000050576124,0.00028057603,0.00081918866,0.0002420027,0.0004177861],"domain_scores_gemma":[0.9985856,0.0007713472,0.00007032852,0.00041535636,0.00007877696,0.000078617944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021457626,0.00014409344,0.00019660429,0.00018062643,0.0005447337,0.0004010317,0.0012218165,0.000033456367,0.000007052555],"category_scores_gemma":[0.00018806792,0.00012095654,0.000052255662,0.00084863236,0.0004416202,0.00020055023,0.0004895838,0.00008587201,0.000015142253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009850116,0.000050651593,0.000099533594,0.000024436798,0.000006399331,6.545514e-7,0.00081542035,0.0016185027,0.006179275,0.8006242,0.00024037002,0.19033071],"study_design_scores_gemma":[0.00008955751,0.00006986326,0.00014584896,0.000017661465,0.000006287238,0.0000031467455,0.0006229292,0.7439248,0.12527457,0.12755157,0.0021207633,0.00017300143],"about_ca_topic_score_codex":0.00004702673,"about_ca_topic_score_gemma":0.00002292335,"teacher_disagreement_score":0.7561978,"about_ca_system_score_codex":0.000041619398,"about_ca_system_score_gemma":0.00014898172,"threshold_uncertainty_score":0.49324644},"labels":[],"label_agreement":null},{"id":"W4406462842","doi":"10.3390/app15020838","title":"Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Multinomial logistic regression; Logistic regression; Collision; Statistics; Computer science; Computer security; Mathematics","score_opus":0.12523380956605948,"score_gpt":0.3163092424147347,"score_spread":0.1910754328486752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406462842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56017995,0.00009645515,0.43776208,0.000013674489,0.00025724963,0.00013455201,0.0000069471957,0.00022381054,0.0013252775],"genre_scores_gemma":[0.9211992,0.00002409263,0.07863654,0.000030485011,0.000030391222,0.0000085153315,0.0000026257085,0.000010202685,0.000057968482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882364,0.000011759062,0.00026239545,0.00034428047,0.00022085533,0.00033708135],"domain_scores_gemma":[0.9996762,0.00004870675,0.000028432538,0.00016036088,0.000024233914,0.00006204369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032490975,0.00018385031,0.00020057379,0.00013505065,0.0005105719,0.000056639987,0.00031054244,0.0001256455,0.0000034016064],"category_scores_gemma":[0.000018047062,0.00014748833,0.00004833488,0.00044629298,0.00017105168,0.00011655078,0.000072828705,0.00017511802,0.000007952397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010456812,0.000023395676,0.000021525766,0.000024447914,0.0000049802097,7.0686883e-7,0.00019697298,0.98786885,0.0036238607,0.00060084305,0.000054715438,0.0075692222],"study_design_scores_gemma":[0.00037771653,0.0000038826206,0.0001635134,0.000057835547,0.000013133139,0.0000010130968,0.00024487812,0.9981399,0.0006644989,0.00013348983,0.00001605323,0.00018408362],"about_ca_topic_score_codex":0.000012443671,"about_ca_topic_score_gemma":0.000021518883,"teacher_disagreement_score":0.36101922,"about_ca_system_score_codex":0.00009001156,"about_ca_system_score_gemma":0.000112621274,"threshold_uncertainty_score":0.60143995},"labels":[],"label_agreement":null},{"id":"W4406693032","doi":"10.3390/app15031091","title":"Sugar Maple and Red Maple Face-Off: Which Produces More and Sweeter Sap?","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maple; Sugar; Computer science; Botany; Biology; Food science","score_opus":0.017994978683470525,"score_gpt":0.2439623829378658,"score_spread":0.22596740425439527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406693032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98010826,0.00017164882,0.0000020277898,0.009730469,0.00003638036,0.0001498337,0.0000068154936,0.00003426484,0.009760325],"genre_scores_gemma":[0.9973455,0.00008361859,0.00016688509,0.00077135523,0.00003197897,0.000013731247,0.000010432486,3.055843e-7,0.0015762114],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990509,0.000028579881,0.00013858498,0.00041843095,0.00017676447,0.0001867334],"domain_scores_gemma":[0.9997327,0.00009694257,0.000042580607,0.000042897304,0.00002901912,0.0000558673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029029255,0.00009982611,0.00013430459,0.000028206185,0.0005225587,0.00017862947,0.00016396602,0.000043222528,0.00014827003],"category_scores_gemma":[0.000027348708,0.000038640253,0.000020618529,0.00073369173,0.0002813964,0.000098997,0.000077729565,0.000052236708,0.00000843325],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005370117,0.000090686786,0.057539422,0.000029688672,0.000050473707,0.0000018795229,0.0015595776,0.000041170766,0.79720813,0.009199611,0.005316399,0.12890927],"study_design_scores_gemma":[0.00049143407,0.00024054434,0.8578865,0.00003500874,0.000082335224,0.000006362422,0.024097705,0.001778918,0.05206401,0.0072831777,0.055383604,0.00065041654],"about_ca_topic_score_codex":0.00006159005,"about_ca_topic_score_gemma":0.00048232527,"teacher_disagreement_score":0.8003471,"about_ca_system_score_codex":0.000005418427,"about_ca_system_score_gemma":0.000008179189,"threshold_uncertainty_score":0.4019152},"labels":[],"label_agreement":null},{"id":"W4406707037","doi":"10.3390/app15031061","title":"The Differentiation of Extra Virgin Olive Oil from Other Olive Oil Categories Based on FTIR Spectroscopy and Random Forest","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Olive oil; Fourier transform infrared spectroscopy; Chemistry; Environmental science; Mathematics; Food science; Chemical engineering; Engineering","score_opus":0.009853015720343198,"score_gpt":0.2547102111654282,"score_spread":0.244857195445085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406707037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88131267,0.001060122,0.00062896154,0.00021152302,0.00006327471,0.000027641072,0.000023481853,0.00003222119,0.11664013],"genre_scores_gemma":[0.9975795,0.00040503277,0.000314685,0.00013342433,0.000056899935,0.00003414614,0.000008702142,0.0000063005195,0.0014612715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988458,0.00001712425,0.00022744792,0.00034846642,0.0003210354,0.00024013918],"domain_scores_gemma":[0.99865204,0.0008851518,0.00015935274,0.00023462043,0.000030423507,0.000038434813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019738464,0.0001639731,0.00024699394,0.00011634929,0.00045172154,0.00013351292,0.0003511139,0.00007346725,0.00021888598],"category_scores_gemma":[0.00007121169,0.000105478146,0.000057995556,0.00058792706,0.00072307314,0.000050437684,0.000040949406,0.00012438392,0.0000049625132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069783645,0.00022700932,0.020136103,0.00023502077,0.00020345721,9.191127e-7,0.0007833699,0.00040103073,0.92598563,0.046411145,0.0005882705,0.0043302276],"study_design_scores_gemma":[0.0012571055,0.00003050014,0.0013320376,0.00005660066,0.00013208747,1.1855355e-7,0.0018871791,0.0029173812,0.98349303,0.008353705,0.0003799734,0.00016030087],"about_ca_topic_score_codex":0.0004358409,"about_ca_topic_score_gemma":0.00030146146,"teacher_disagreement_score":0.11626689,"about_ca_system_score_codex":0.000037743343,"about_ca_system_score_gemma":0.00008784072,"threshold_uncertainty_score":0.4301274},"labels":[],"label_agreement":null},{"id":"W4406756110","doi":"10.3390/app15031136","title":"Life Cycle Assessment of Proofing Test Production on Printing Surfaces with Use of Carbon Footprint Methodology","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Carbon footprint; Life-cycle assessment; Production (economics); Environmental science; Greenhouse gas; Geology; Oceanography; Economics","score_opus":0.05924735618387569,"score_gpt":0.32053785818372105,"score_spread":0.2612905019998454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406756110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95281994,0.0000033882404,0.0023637228,0.00024644515,0.000052369945,0.00038503256,2.1014104e-7,0.000048935162,0.044079963],"genre_scores_gemma":[0.9147055,0.0000057972497,0.085126415,0.000032353117,0.0000056980557,0.000027284701,1.823662e-7,0.0000032519483,0.000093494564],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988506,0.000061828745,0.00023989263,0.00037534986,0.00031331962,0.00015902573],"domain_scores_gemma":[0.9992137,0.0003317741,0.0002107713,0.00020838944,0.000010049039,0.000025323581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015186578,0.000092327435,0.0001759762,0.000098010605,0.000102871665,0.000023717805,0.00021515226,0.00002909509,0.0000047111766],"category_scores_gemma":[0.00028274878,0.00006671287,0.000018482033,0.0005941983,0.0005193361,0.000046850513,0.00018464074,0.000077612975,3.8472828e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019373994,0.00020391463,0.5568697,0.00007222004,0.000018461511,2.8982575e-7,0.00017033989,0.18886028,0.20736228,0.009164635,0.000027741495,0.037230797],"study_design_scores_gemma":[0.00015161604,0.00042128333,0.4444106,0.00015679268,0.000031781954,4.264489e-7,0.0006063588,0.011135071,0.539853,0.0028026537,0.00023683503,0.00019358483],"about_ca_topic_score_codex":0.00035018002,"about_ca_topic_score_gemma":0.000053668024,"teacher_disagreement_score":0.3324907,"about_ca_system_score_codex":0.00003291894,"about_ca_system_score_gemma":0.00003062232,"threshold_uncertainty_score":0.2720472},"labels":[],"label_agreement":null},{"id":"W4406797983","doi":"10.3390/app15031214","title":"A Microscopic Traffic Model to Investigate the Effect of Connected Autonomous Vehicles at Bottlenecks and the Impact of Cyberattacks","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","score_opus":0.0060826248524644124,"score_gpt":0.2347288547896301,"score_spread":0.22864622993716568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406797983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954511,0.00036331816,0.00028582994,0.0003023126,0.00003991124,0.0004987001,0.000004758037,0.00005040262,0.0030036853],"genre_scores_gemma":[0.9996948,0.000009941613,0.00009485857,0.000049537346,0.000004604428,0.000057029414,4.0894997e-7,0.0000036823976,0.0000850993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941236,0.000024221825,0.00016061691,0.00013586767,0.00011020259,0.00015672586],"domain_scores_gemma":[0.99949807,0.00028272084,0.000029097115,0.00014999679,0.000010995059,0.000029126353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150378,0.000105611085,0.0002077199,0.00006230662,0.00012023034,0.000032239463,0.00025905907,0.000023308929,0.0000025732352],"category_scores_gemma":[0.000022675056,0.0000503676,0.00004704438,0.00030600475,0.00048720714,0.00002108257,0.00007657919,0.00005136112,0.0000012277145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004157238,0.0000036550064,0.000112285146,0.000034048924,0.00004987747,7.808877e-8,0.000634752,0.94385916,0.04545578,0.0024306406,0.0007464295,0.006631714],"study_design_scores_gemma":[0.0020370972,0.00016632307,0.0112240845,0.00004537377,0.00007679376,6.026708e-7,0.00011981855,0.9541093,0.031478453,0.0005088215,0.00009785399,0.00013549594],"about_ca_topic_score_codex":0.00004443416,"about_ca_topic_score_gemma":0.000054778255,"teacher_disagreement_score":0.0139773255,"about_ca_system_score_codex":0.000023344797,"about_ca_system_score_gemma":0.000029183682,"threshold_uncertainty_score":0.2053931},"labels":[],"label_agreement":null},{"id":"W4406805516","doi":"10.3390/app15031169","title":"Research Status and Development Direction of Formation Damage Prediction and Diagnosis Technologies","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.029033710419547776,"score_gpt":0.2824669769030799,"score_spread":0.25343326648353215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406805516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870635,0.0004903453,0.003749471,0.00012751675,0.00003106315,0.000105639396,9.4974064e-7,0.00014650593,0.00828496],"genre_scores_gemma":[0.99816895,0.0010396237,0.00070678,0.0000021847545,0.0000019953452,0.000064095475,0.0000018860899,0.0000012414995,0.000013252512],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954796,0.000009453129,0.000109548884,0.00008840547,0.00014613364,0.000098490425],"domain_scores_gemma":[0.9998657,0.00004208442,0.000011614137,0.00004580665,0.000022005137,0.000012768948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003799419,0.00003600752,0.00005753726,0.00036664578,0.00017613568,0.000036998317,0.00004710518,0.00003371672,0.0000017232293],"category_scores_gemma":[0.000020956375,0.000029518635,0.0000039620645,0.00070082163,0.00018363181,0.00013951055,0.000037258822,0.000054570097,7.763314e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019328543,0.00008964052,0.107029006,0.0007670807,0.00014162027,5.4000145e-7,0.011099564,0.053535882,0.074721426,0.024352612,0.0016230256,0.72662026],"study_design_scores_gemma":[0.0004341843,0.00006859697,0.07694177,0.00011564636,0.000022566705,4.854326e-7,0.041065343,0.23572764,0.62553674,0.0051113158,0.014750027,0.00022570441],"about_ca_topic_score_codex":0.000006855333,"about_ca_topic_score_gemma":0.000044699125,"teacher_disagreement_score":0.7263946,"about_ca_system_score_codex":0.000022235206,"about_ca_system_score_gemma":0.000015779551,"threshold_uncertainty_score":0.1354711},"labels":[],"label_agreement":null},{"id":"W4406842798","doi":"10.3390/app15031312","title":"Modified Solution–Diffusion Model Incorporating Rotational Kinetic Energy in Pressure Retarded Osmosis","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetic energy; Pressure-retarded osmosis; Thermodynamics; Materials science; Mechanics; Forward osmosis; Chemistry; Membrane; Reverse osmosis; Physics; Classical mechanics","score_opus":0.019364781975007697,"score_gpt":0.2432888634551542,"score_spread":0.22392408148014648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406842798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66140085,0.000086845204,0.07528775,0.0014663361,0.00009994918,0.00039628884,0.0000040664745,0.00021300589,0.2610449],"genre_scores_gemma":[0.9856719,0.0000073723377,0.012864089,0.000316739,0.00000529874,0.000109243025,0.000004691885,0.000003373639,0.0010173313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985631,0.000029155917,0.00027816847,0.00046318656,0.0004289515,0.00023743449],"domain_scores_gemma":[0.99959433,0.00007078204,0.00010325821,0.00019608992,0.000007682662,0.00002786448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040936033,0.00012230738,0.00013211726,0.0001515628,0.00035286084,0.000054787695,0.0004926396,0.000092015754,0.00014870013],"category_scores_gemma":[0.00006143669,0.00010953931,0.000022991455,0.0010805002,0.0005909864,0.00018979462,0.0002907419,0.000099991725,0.000025720541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001087643,0.000043581585,0.0032974724,0.0000055133123,0.0000026227403,3.3657682e-7,0.000118922246,0.72794104,0.119792424,0.14244717,0.00097438623,0.005365627],"study_design_scores_gemma":[0.00023440296,0.000012993551,0.006161037,0.000011893008,0.000005817689,3.2794503e-7,0.00011346426,0.8530806,0.023850406,0.11617828,0.0002076665,0.00014315074],"about_ca_topic_score_codex":0.00035439056,"about_ca_topic_score_gemma":0.00049934874,"teacher_disagreement_score":0.324271,"about_ca_system_score_codex":0.0000633113,"about_ca_system_score_gemma":0.00005166442,"threshold_uncertainty_score":0.44668835},"labels":[],"label_agreement":null},{"id":"W4406842806","doi":"10.3390/app15031309","title":"Analyzing Drill Core Logging Using Rock Quality Designation–60 Years’ Experience from Modifications to Applications","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Drill; Logging; Petroleum engineering; Geology; Mining engineering; Computer science; Engineering; Geography; Mechanical engineering; Forestry","score_opus":0.07948549611949007,"score_gpt":0.3332084808015422,"score_spread":0.2537229846820521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406842806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28443298,0.00014354115,0.71335375,0.000035172965,0.0001175647,0.00018012944,0.000008188822,0.00020537105,0.0015232974],"genre_scores_gemma":[0.9730213,0.000009955997,0.02667009,0.000082529914,0.000047412377,0.00011784963,0.0000052737687,0.00000782111,0.000037746675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901974,0.000010984895,0.00024655662,0.00032661838,0.0001747671,0.00022130871],"domain_scores_gemma":[0.9994794,0.00012537239,0.000037750728,0.00025332536,0.000036268862,0.00006786406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446109,0.000105439496,0.00012719647,0.00019067022,0.0005204736,0.000088845256,0.00037945947,0.000052260897,0.000011446464],"category_scores_gemma":[0.000025362127,0.00011115139,0.000028425242,0.0010922453,0.000032562915,0.000088528475,0.00005940699,0.00008697728,0.000030212164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010713517,0.000012999653,0.00018163075,0.00000929421,0.000010445543,2.2098358e-7,0.001673589,0.76267034,0.19185221,0.040350135,0.000100149766,0.0031378928],"study_design_scores_gemma":[0.00015833635,0.0000057521206,0.003113178,0.000058990638,0.00003203666,4.898813e-7,0.004487263,0.93727016,0.029853117,0.022628253,0.0019360576,0.00045639026],"about_ca_topic_score_codex":0.000083660576,"about_ca_topic_score_gemma":0.00001780071,"teacher_disagreement_score":0.6885883,"about_ca_system_score_codex":0.00007333282,"about_ca_system_score_gemma":0.000053859854,"threshold_uncertainty_score":0.4532622},"labels":[],"label_agreement":null},{"id":"W4407040840","doi":"10.3390/app15031448","title":"The Effects of Brace Stiffness on Knee Joints During Pull-Up Jump Shot Movements in Amateur Female Basketball Players","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Ningbo","keywords":"Basketball; Brace; Stiffness; Anterior cruciate ligament; Sagittal plane; Plyometrics; Orthodontics; Jump; Medicine; Knee Joint; Ground reaction force; Kinematics; Physical medicine and rehabilitation; Structural engineering; Physical therapy; Engineering; Surgery; Anatomy; Physics","score_opus":0.010115478156765296,"score_gpt":0.2821344256302697,"score_spread":0.2720189474735044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407040840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818903,0.00007971475,0.000015693886,0.00017336944,0.0005144998,0.0005380825,0.0000011888733,0.00004856076,0.016738588],"genre_scores_gemma":[0.99758714,0.00007310233,0.00009965573,0.00019314204,0.000020847323,0.000065956854,5.929168e-7,0.0000050602116,0.0019544915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886477,0.000021221578,0.00030574328,0.00026766717,0.00029660392,0.00024398984],"domain_scores_gemma":[0.9994002,0.00022276439,0.000112030175,0.0001977374,0.000026801912,0.000040468338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042289824,0.00011533585,0.0002372259,0.00023221089,0.0002618845,0.000034260338,0.00019490188,0.000049706603,0.00001725513],"category_scores_gemma":[0.00007813682,0.00007281201,0.000048016293,0.0005418358,0.0004823416,0.000048357284,0.000072788396,0.00014390588,0.0000056479116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011761433,0.0004453204,0.09618563,0.002025162,0.00015328126,0.000023072695,0.0021203565,0.000074609634,0.7456134,0.047161594,0.00144148,0.10357995],"study_design_scores_gemma":[0.0012054121,0.00017861857,0.19062243,0.00061591674,0.000013918178,0.0000040273126,0.0024587512,0.00007659252,0.80295473,0.001263848,0.00047515755,0.00013061734],"about_ca_topic_score_codex":0.000054981283,"about_ca_topic_score_gemma":0.00002712908,"teacher_disagreement_score":0.10344934,"about_ca_system_score_codex":0.000044989447,"about_ca_system_score_gemma":0.00008024099,"threshold_uncertainty_score":0.29691875},"labels":[],"label_agreement":null},{"id":"W4407086092","doi":"10.3390/app15031542","title":"Assessing the Relationship Between Cerebral Metabolic Rate of Oxygen and Redox Cytochrome C Oxidase During Cardiac Arrest and Cardiopulmonary Resuscitation","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute; North York General Hospital; Toronto Metropolitan University; St. Michael's Hospital","funders":"","keywords":"Medicine; Cytochrome c oxidase; Cardiopulmonary resuscitation; Resuscitation; Cardiology; Intensive care medicine; Internal medicine; Anesthesia; Chemistry; Mitochondrion; Biochemistry","score_opus":0.039464306042260436,"score_gpt":0.31202361864342554,"score_spread":0.2725593126011651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407086092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993602,0.0016989568,0.00004666887,0.0010857979,0.00009447071,0.0003268333,0.0000049536443,0.000021962134,0.0031183755],"genre_scores_gemma":[0.99927175,0.00003490331,0.00047755465,0.00007384892,0.00006738527,0.000024564764,0.000003996366,0.0000041584326,0.00004186677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902093,0.000118529526,0.0002356944,0.00028696368,0.00019482302,0.00014305879],"domain_scores_gemma":[0.99883604,0.00081662694,0.000093140065,0.00018705719,0.00002305213,0.00004410909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011660919,0.00009777681,0.0002719681,0.0001126034,0.0005098039,0.00008424097,0.00009328075,0.000042012525,9.777384e-7],"category_scores_gemma":[0.00023262943,0.00006582872,0.000050347964,0.0005351095,0.0006932623,0.00019135441,0.000052330055,0.00012622209,6.3120467e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004808139,0.000021396889,0.8988403,0.00042987667,0.00016285249,0.0000032037058,0.0015476978,0.000018823923,0.06170148,0.033537522,0.000053270778,0.0036355066],"study_design_scores_gemma":[0.0002925764,0.00001582935,0.9893995,0.00010134928,0.00016791989,0.0000021160458,0.0011884636,0.000013873453,0.0054432317,0.0032250462,0.000087583496,0.00006251073],"about_ca_topic_score_codex":0.000021441077,"about_ca_topic_score_gemma":0.0000013666614,"teacher_disagreement_score":0.090559214,"about_ca_system_score_codex":0.0000073625642,"about_ca_system_score_gemma":0.00006762672,"threshold_uncertainty_score":0.3921051},"labels":[],"label_agreement":null},{"id":"W4407105536","doi":"10.3390/app15031512","title":"Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Modality (human–computer interaction); Medicine; Artificial intelligence; Computer science; Psychology; Biology","score_opus":0.026432594828741555,"score_gpt":0.2922556261248901,"score_spread":0.26582303129614854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407105536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59047633,0.00021115062,0.40502432,0.000012206137,0.00057516544,0.00015790686,0.0000022576642,0.00026227479,0.003278382],"genre_scores_gemma":[0.99679285,0.000005772002,0.003058237,0.000015036766,0.00006291028,0.000025861418,0.000001859858,0.000010335971,0.000027155005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896556,0.000023815015,0.00022540055,0.0002976476,0.00021909691,0.00026846735],"domain_scores_gemma":[0.999637,0.00006968663,0.00004781196,0.00017085922,0.000028381184,0.000046282526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041416782,0.00012764537,0.00012145252,0.00014125385,0.00042808792,0.00014916895,0.00032221,0.00005759406,0.0000049060245],"category_scores_gemma":[0.0000278036,0.00013092297,0.00003229994,0.0007190327,0.00019442885,0.00022266149,0.000074444295,0.00016044111,0.000022969029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016622029,0.000008777334,0.005916668,0.000027516042,0.000017308821,0.0000013125906,0.00012104036,0.040793907,0.9412826,0.0006478318,0.000005076996,0.01117632],"study_design_scores_gemma":[0.00031813837,0.000012188234,0.013034382,0.000054199874,0.000046917117,0.0000012113495,0.00057178334,0.08385599,0.89967716,0.0016471464,0.0003756528,0.0004052391],"about_ca_topic_score_codex":0.000017732738,"about_ca_topic_score_gemma":0.000013693513,"teacher_disagreement_score":0.4063165,"about_ca_system_score_codex":0.00011474841,"about_ca_system_score_gemma":0.000020853679,"threshold_uncertainty_score":0.53388834},"labels":[],"label_agreement":null},{"id":"W4407107712","doi":"10.3390/app15031500","title":"Hammering Test for Tile Wall Using Deep Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Tokyo Metropolitan Small and Medium Enterprise Support Center","keywords":"Tile; Test (biology); Computer science; Materials science; Geology; Composite material","score_opus":0.025296975220856277,"score_gpt":0.297382169947008,"score_spread":0.2720851947261517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407107712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29215768,0.000116160314,0.6578091,0.00012460205,0.00013820306,0.00032892465,0.0000015574869,0.0003016782,0.049022116],"genre_scores_gemma":[0.905464,0.0000031217,0.09429279,0.000044253222,0.000033786615,0.00007587128,6.158446e-7,0.000005511453,0.000080068865],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950665,0.0000029383302,0.00009202676,0.0001499058,0.00006027468,0.00018820252],"domain_scores_gemma":[0.999598,0.00028166972,0.00001350727,0.00007015815,0.000011028856,0.000025618701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016456003,0.000066297725,0.000084244995,0.00004459047,0.00029210522,0.00005300938,0.00014963665,0.000023056911,0.0000061637666],"category_scores_gemma":[0.000027393962,0.00006169644,0.000025152762,0.00038679576,0.000069805945,0.000038272025,0.000023158163,0.00006510376,0.000009025327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2845005e-7,0.000021423546,0.0004337932,0.00005804862,0.000009342603,7.337317e-8,0.00014954625,0.13908438,0.6807952,0.06932674,0.000070251655,0.11005024],"study_design_scores_gemma":[0.000144127,0.000018946197,0.0018581192,0.000021712674,0.00001763266,3.252327e-7,0.00034818274,0.92137134,0.03776225,0.019754395,0.01849916,0.00020381447],"about_ca_topic_score_codex":0.000007353969,"about_ca_topic_score_gemma":0.0000023488994,"teacher_disagreement_score":0.78228694,"about_ca_system_score_codex":0.0000143524,"about_ca_system_score_gemma":0.000010305139,"threshold_uncertainty_score":0.2515908},"labels":[],"label_agreement":null},{"id":"W4407176215","doi":"10.3390/app15031597","title":"Crack Propagation in Axial-Flow Fan Blades Under Complex Loading Conditions: A FRANC3D and ABAQUS Co-Simulation Approach","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Structural engineering; Mechanics; Engineering; Physics","score_opus":0.029837550626361845,"score_gpt":0.28446097052020125,"score_spread":0.2546234198938394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407176215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3705604,0.0002223206,0.584177,0.00013166327,0.0001987657,0.0008134528,0.000011638691,0.00023451145,0.043650255],"genre_scores_gemma":[0.9966841,0.000010820982,0.0030487592,0.00015461877,0.000021391024,0.000033600514,0.00003240858,0.0000055611695,0.000008754512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993395,0.000011621624,0.00015919888,0.0001933473,0.00013672955,0.00015958352],"domain_scores_gemma":[0.99977285,0.00009019415,0.000024221816,0.00007396314,0.000015226856,0.000023538478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093739,0.000098177654,0.00011482347,0.00017877191,0.00016896075,0.000088363304,0.00009256675,0.00006189244,0.00001495586],"category_scores_gemma":[0.000014242852,0.00009067202,0.0000124900735,0.00046577593,0.000108877604,0.00019873331,0.000012967453,0.000099229524,0.0000058852706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006243269,0.000043747965,0.00090787705,0.000116422234,0.000014151497,3.1363356e-7,0.0010599905,0.91259444,0.022421531,0.05462306,0.00041948032,0.007792719],"study_design_scores_gemma":[0.00035665536,0.000011970667,0.011175506,0.000025242942,0.000007135711,2.949059e-7,0.00062210154,0.9698879,0.0029717067,0.0145056965,0.00029184105,0.00014393225],"about_ca_topic_score_codex":0.0000079015235,"about_ca_topic_score_gemma":0.000014435701,"teacher_disagreement_score":0.62612367,"about_ca_system_score_codex":0.000032728232,"about_ca_system_score_gemma":0.000017290391,"threshold_uncertainty_score":0.36974978},"labels":[],"label_agreement":null},{"id":"W4407235731","doi":"10.3390/app15041686","title":"Data-Driven Machine-Learning-Based Seismic Response Prediction and Damage Classification for an Unreinforced Masonry Building","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unreinforced masonry building; Geology; Masonry; Computer science; Engineering; Structural engineering","score_opus":0.05251063367686296,"score_gpt":0.33577114707010164,"score_spread":0.28326051339323866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407235731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8966746,0.00004115727,0.10119256,0.00015116516,0.000233362,0.00046786104,0.000051915104,0.0008727869,0.00031462245],"genre_scores_gemma":[0.97311133,0.000011263216,0.026609574,0.000051055817,0.00004402634,0.00008673491,0.000057388967,0.000010189131,0.000018449718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999154,0.00002952077,0.00018062521,0.0003048674,0.0001295805,0.00020144273],"domain_scores_gemma":[0.9993229,0.00028757475,0.000042165273,0.00027591616,0.000020217347,0.000051238607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085048523,0.00010729185,0.00010219252,0.00019403003,0.0003528315,0.000089667585,0.00037115274,0.0000718636,0.0000011230225],"category_scores_gemma":[0.000081470745,0.00010214116,0.000009730618,0.0003160914,0.000121201054,0.00024547966,0.000051412324,0.00013179691,4.901128e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054731756,0.000014180634,0.005196843,0.00050927553,0.000025340072,6.206897e-7,0.00042527,0.59485805,0.3090428,0.011524398,0.001667862,0.07618802],"study_design_scores_gemma":[0.00017017299,0.000075116084,0.016707318,0.000028403787,0.000008787659,4.307467e-7,0.00009250569,0.9701427,0.008852895,0.0005359001,0.0032946456,0.000091082664],"about_ca_topic_score_codex":0.000017726872,"about_ca_topic_score_gemma":0.000005473998,"teacher_disagreement_score":0.37528467,"about_ca_system_score_codex":0.000066565684,"about_ca_system_score_gemma":0.000059449405,"threshold_uncertainty_score":0.41651955},"labels":[],"label_agreement":null},{"id":"W4407294682","doi":"10.3390/app15041712","title":"Physical, Compressive Strength, and Microstructural Characteristics of Alkali-Activated Engineered Composites Incorporating MgO, MWCNTs, and rGO","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Magnesium Oxide Properties and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Compressive strength","score_opus":0.008913467124938922,"score_gpt":0.2339449097025368,"score_spread":0.22503144257759788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407294682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998578,0.00009641059,0.00017030184,0.0001673957,0.000047394566,0.00019694793,0.000042482967,0.00003439217,0.0006666913],"genre_scores_gemma":[0.99560684,0.000007734545,0.004248158,0.000057658664,0.000021955539,0.000023643335,0.0000067777587,0.0000037187724,0.000023518554],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991984,0.000017315555,0.0002105735,0.00029217725,0.00012428036,0.00015728075],"domain_scores_gemma":[0.99949574,0.00013725598,0.00015488174,0.00012353477,0.00004561311,0.000042949432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011442881,0.00012197389,0.00022552052,0.000054321023,0.0003225681,0.00014499137,0.00020683891,0.000030051371,0.0000131396755],"category_scores_gemma":[0.000019356323,0.00009300219,0.0000129955515,0.0002566006,0.0008255929,0.000106999,0.00017112528,0.000057546604,0.0000015713038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010403136,0.000020910129,0.00040150402,0.00005606199,0.0000030722847,1.3476266e-7,0.00029645447,0.000014472152,0.98120785,0.016080063,0.00002105047,0.0018880552],"study_design_scores_gemma":[0.00017916501,0.000031963566,0.005598792,0.000030386367,0.000015479742,0.0000016813932,0.00060120824,0.002955575,0.98860276,0.0017933808,0.0000686515,0.00012093221],"about_ca_topic_score_codex":0.000069767724,"about_ca_topic_score_gemma":0.0000034748443,"teacher_disagreement_score":0.014286682,"about_ca_system_score_codex":0.0000064867363,"about_ca_system_score_gemma":0.00003428541,"threshold_uncertainty_score":0.37925196},"labels":[],"label_agreement":null},{"id":"W4407320582","doi":"10.3390/app15041793","title":"Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Engineering ethics; Computer science; Management science; Mathematics education; Psychology; Engineering","score_opus":0.05345405203061779,"score_gpt":0.3112025884786119,"score_spread":0.2577485364479941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407320582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02245981,0.0021240828,0.95306253,0.0036798576,0.0001778646,0.00015187914,7.677233e-7,0.00035307117,0.01799016],"genre_scores_gemma":[0.89077246,0.00026556518,0.10847988,0.0004362674,0.000015577065,0.000020915893,1.4331978e-7,0.0000018896473,0.0000072867497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985737,0.000033185748,0.0001476113,0.0005308469,0.00030109542,0.00041354744],"domain_scores_gemma":[0.9992592,0.00033078113,0.000036630605,0.00028934274,0.000026202706,0.00005788782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025277135,0.00010471091,0.00012319416,0.00033713607,0.0003324203,0.00028598285,0.0010229491,0.00009490552,0.0000020143395],"category_scores_gemma":[0.00003077064,0.00009024269,0.00001481997,0.0010873338,0.00046187692,0.00055302266,0.00056810805,0.00032285196,0.0000025619586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.029807e-7,0.00002085879,0.000010398007,0.000009524107,0.0000012245147,0.0000022996946,0.0014525731,0.00080736744,0.00020223489,0.98108846,0.000013531575,0.016390838],"study_design_scores_gemma":[0.00014357004,0.000042801683,0.0005863512,0.000037560145,0.0000020334064,0.0000054758025,0.00060462125,0.5807403,0.00023366335,0.41721922,0.0002234143,0.00016100741],"about_ca_topic_score_codex":0.000018138848,"about_ca_topic_score_gemma":0.000045322406,"teacher_disagreement_score":0.86831266,"about_ca_system_score_codex":0.000028529495,"about_ca_system_score_gemma":0.00018954396,"threshold_uncertainty_score":0.36799902},"labels":[],"label_agreement":null},{"id":"W4407340553","doi":"10.3390/app15041713","title":"Biological Potential of Tsuga canadensis: A Study on Seed, Cone Essential Oils, and Seed Lipophilic Extract","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Antimicrobial; Monoterpene; Chemistry; Essential oil; Food science; Botany; Biology; Biochemistry; Organic chemistry","score_opus":0.0176969512472399,"score_gpt":0.23831930427855127,"score_spread":0.22062235303131136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407340553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655735,0.000060018378,0.0000074527184,0.0012112467,0.00017405306,0.00031402402,0.000021712918,0.00003601923,0.0016181027],"genre_scores_gemma":[0.9995368,0.000029090435,0.000036215595,0.00022110748,0.00010510284,0.000010973704,0.0000049470927,5.883672e-7,0.00005515179],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998548,0.00007727239,0.00026344619,0.00054173503,0.0002592323,0.00031035187],"domain_scores_gemma":[0.9995017,0.00019688036,0.0001215867,0.000060535527,0.000040422427,0.00007889704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043333237,0.00017506174,0.00031425024,0.000038499446,0.00047653352,0.000107938504,0.00032534823,0.00009460132,0.00004648927],"category_scores_gemma":[0.000031733347,0.00006924508,0.00006730986,0.00062518293,0.0005686181,0.00007662006,0.00015186248,0.00013611796,0.000005040047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006681062,0.00042852448,0.0058822595,0.0000055778405,0.000019569427,0.0000055346454,0.000050057755,0.000007668732,0.9865075,0.0012136959,0.00004236359,0.0057704747],"study_design_scores_gemma":[0.0005629441,0.0009830329,0.733187,0.000042406227,0.000055069853,0.000006719,0.0021397122,0.00006585288,0.2610295,0.0013559072,0.00022096556,0.0003508307],"about_ca_topic_score_codex":0.0017603196,"about_ca_topic_score_gemma":0.0013177199,"teacher_disagreement_score":0.72730476,"about_ca_system_score_codex":0.0000098365,"about_ca_system_score_gemma":0.000030853782,"threshold_uncertainty_score":0.36651587},"labels":[],"label_agreement":null},{"id":"W4407353242","doi":"10.3390/app15041857","title":"Investigation of Select Pure Earth Metals as Redox Catalytic Electrodes in Single Compartment Hydrogen Peroxide Fuel Cells","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hydrogen peroxide; Redox; Compartment (ship); Chemistry; Earth (classical element); Materials science; Inorganic chemistry; Geology; Biochemistry; Physics","score_opus":0.011224190070824733,"score_gpt":0.2074648538869417,"score_spread":0.19624066381611696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407353242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9608474,0.0015130165,0.000015024305,0.000044649798,0.0001182893,0.00022827333,0.000002795087,0.000062572435,0.037168004],"genre_scores_gemma":[0.99916977,0.00014739303,0.00050181197,0.000036875077,0.000010577072,0.0000191167,0.0000059292483,0.0000068347326,0.000101718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909765,0.000019502446,0.00027609948,0.00020029678,0.0001688552,0.00023762927],"domain_scores_gemma":[0.9997452,0.000048475635,0.000045120814,0.00011190924,0.000013546309,0.00003573898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035044327,0.0001189062,0.00022242083,0.00016760266,0.000051745825,0.00004159347,0.0001812849,0.00006520206,0.00002066676],"category_scores_gemma":[0.0000063890434,0.000100323734,0.00002732294,0.0006771191,0.00016552483,0.00007290399,0.000025229887,0.000072605166,0.000022130509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031841068,0.000011046115,0.00004116867,0.00016244336,0.000018398774,6.9506854e-7,0.00020300398,0.033457145,0.96472746,0.0012415424,0.00009541635,0.000038478236],"study_design_scores_gemma":[0.00013874126,0.000037674745,0.00012132287,0.000035628935,0.000017682265,8.53856e-7,0.00008406675,0.0014810088,0.9925082,0.0051687136,0.0003064712,0.00009964853],"about_ca_topic_score_codex":0.00004112261,"about_ca_topic_score_gemma":0.000046328943,"teacher_disagreement_score":0.038322367,"about_ca_system_score_codex":0.00003392866,"about_ca_system_score_gemma":0.00006175437,"threshold_uncertainty_score":0.4091083},"labels":[],"label_agreement":null},{"id":"W4407561023","doi":"10.3390/app15042002","title":"Speaker Diarization: A Review of Objectives and Methods","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Speaker diarisation; Computer science; Speech recognition; Speaker recognition","score_opus":0.05587897824479983,"score_gpt":0.4048335960937901,"score_spread":0.3489546178489903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407561023","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.305959e-9,0.83968353,0.09242075,0.000064683816,0.00013170109,0.00043457915,0.0000032258824,0.00003771335,0.06722379],"genre_scores_gemma":[1.174552e-7,0.76929754,0.23023757,0.00024103465,0.000016079506,0.000074327545,0.0000014626148,0.0000028769723,0.00012897972],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981904,0.0003061462,0.00047455257,0.0005838399,0.00028108977,0.00016394973],"domain_scores_gemma":[0.9978654,0.001365389,0.0003094325,0.0003506689,0.000056413497,0.000052742882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020339112,0.00020994102,0.0011374322,0.00028379037,0.0001336214,0.000101022146,0.0009841542,0.000088723566,0.00005295006],"category_scores_gemma":[0.0003619236,0.00014615792,0.00016881434,0.002027708,0.00031175776,0.00013923783,0.00031452577,0.00010440294,0.000013645809],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.882835e-8,0.000007764287,1.3560876e-7,0.025887592,0.000013009766,3.4246668e-7,0.000018250606,6.5222614e-9,3.903749e-7,0.035416238,0.0001591626,0.93849707],"study_design_scores_gemma":[0.000029815164,0.000014995109,0.000001669865,0.061536975,0.00015687082,0.000014660112,0.0000134205675,0.000028309607,0.00005071706,0.0036741658,0.9342306,0.00024780404],"about_ca_topic_score_codex":0.0000016625585,"about_ca_topic_score_gemma":4.9208404e-7,"teacher_disagreement_score":0.93824923,"about_ca_system_score_codex":0.00001380482,"about_ca_system_score_gemma":0.00044452192,"threshold_uncertainty_score":0.5960147},"labels":[],"label_agreement":null},{"id":"W4407623078","doi":"10.3390/app15042111","title":"Diagnostic Value of microRNA Signatures for Early and Non-Invasive Detection of Colorectal Cancer: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universitas Diponegoro","keywords":"Colorectal cancer; Meta-analysis; Medicine; Oncology; Computational biology; Internal medicine; Biology; Cancer","score_opus":0.018460619684772663,"score_gpt":0.3051008440398731,"score_spread":0.28664022435510045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407623078","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001790424,0.9947313,0.00030802982,0.000006231356,0.0000145262375,0.002897183,0.00023604221,0.0000020474238,0.000014226031],"genre_scores_gemma":[0.056885064,0.9416215,0.0002395077,0.00002172854,0.000008229287,0.0011699111,0.000034185283,0.000006703856,0.000013172076],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9987081,0.0000912993,0.00052657584,0.00043421407,0.000126898,0.000112908856],"domain_scores_gemma":[0.99845433,0.00048176292,0.00075145613,0.00018154319,0.00009551763,0.00003537943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004740283,0.00021379681,0.0022530258,0.00015534738,0.00006728591,0.000017131935,0.00020067077,0.00015192237,0.0000021518165],"category_scores_gemma":[0.00036631667,0.00014654499,0.0005920398,0.00051932107,0.00025370438,0.00000298106,0.00007883936,0.00004101742,8.727313e-8],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049253317,0.000016362921,0.000003303727,0.95669,0.023223078,1.2076478e-7,0.000014933178,0.000016012491,0.019066937,0.000055536602,0.00001484494,0.0008939392],"study_design_scores_gemma":[0.00011349035,0.00015548668,0.000042868938,0.017666852,0.95291454,0.000002492043,0.000014077293,0.0000094297675,0.02840617,0.00005530992,0.00030499394,0.00031429125],"about_ca_topic_score_codex":0.000025544452,"about_ca_topic_score_gemma":0.00004616592,"teacher_disagreement_score":0.93902314,"about_ca_system_score_codex":0.000010164362,"about_ca_system_score_gemma":0.00021937308,"threshold_uncertainty_score":0.5975931},"labels":[],"label_agreement":null},{"id":"W4407657879","doi":"10.3390/app15042035","title":"A Conceptual Approach for the Knowledge-Based Computational Design of Prefabricated Façade Panels Using Constructability Features","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructability; Construction engineering; Architectural engineering; Computer science; Engineering; Structural engineering","score_opus":0.04761257561995846,"score_gpt":0.2726457464376044,"score_spread":0.22503317081764596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407657879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02232506,0.00024361913,0.97349054,0.000021975162,0.00014351335,0.0004753446,0.00001016193,0.000064180735,0.003225592],"genre_scores_gemma":[0.92811257,6.843673e-7,0.07176673,0.000020183996,0.00001467704,0.000071346825,0.000003940238,0.0000027508202,0.0000071265563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994366,0.000023593659,0.00017126337,0.00015056483,0.000106217114,0.00011175213],"domain_scores_gemma":[0.9992818,0.00051150424,0.000038647304,0.000078440265,0.00007493262,0.000014651886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028564344,0.00008133939,0.00010886598,0.00006652457,0.00021865866,0.00003471379,0.00017642956,0.000048279813,0.0000075235926],"category_scores_gemma":[0.000022197673,0.000056248875,0.00003241297,0.00045529925,0.0010330987,0.00004057466,0.000009491141,0.00006424226,3.124484e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012966799,0.000013336575,0.00015013482,0.000024531844,0.000019342353,5.098237e-9,0.00024138734,0.8469707,0.009775898,0.13623132,0.000096148244,0.006464252],"study_design_scores_gemma":[0.00025793927,0.000011709544,0.0009810177,0.000007872979,0.00002259129,0.000001041052,0.0014036413,0.97247034,0.019353969,0.0053463457,0.00007173234,0.0000718087],"about_ca_topic_score_codex":0.000005806405,"about_ca_topic_score_gemma":7.668521e-7,"teacher_disagreement_score":0.9057875,"about_ca_system_score_codex":0.000027287319,"about_ca_system_score_gemma":0.00018659203,"threshold_uncertainty_score":0.38064954},"labels":[],"label_agreement":null},{"id":"W4407710793","doi":"10.3390/app15042134","title":"The Effect of Upper Arch Expansion by Clear Aligners on Nasal Airway Volume in Children: A Preliminary Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Medicine; Airway; Anesthesia","score_opus":0.006218482488308499,"score_gpt":0.29950383267759695,"score_spread":0.2932853501892885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407710793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99002343,0.00012736421,0.000008810161,0.00052073045,0.0000647293,0.0017546255,0.0000018519304,0.000018015711,0.0074804183],"genre_scores_gemma":[0.999476,0.0000044902163,0.00004367669,0.000053518674,0.00001741228,0.00012781119,0.0000018997663,0.0000072676935,0.00026792777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979754,0.00018350805,0.00022997253,0.0004342803,0.0008225906,0.0003542183],"domain_scores_gemma":[0.99904555,0.0005094044,0.000046710295,0.00031484978,0.00002758778,0.00005588947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017754178,0.00013171273,0.0002424363,0.00025045345,0.0002679796,0.000027764943,0.00040048943,0.000049191975,0.000015906351],"category_scores_gemma":[0.000151441,0.00007609495,0.000045494795,0.0010124153,0.0008393316,0.000040014478,0.00016893617,0.0002550422,0.000021273425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017891995,0.00031606577,0.93181366,0.000021386251,0.000048955542,0.000002482798,0.00050807674,0.00003476109,0.017142933,0.00054249336,0.00056544336,0.047214534],"study_design_scores_gemma":[0.002887329,0.009850774,0.91977954,0.000054457858,0.00003416799,0.0000024450255,0.0032384985,0.0007529185,0.063141376,0.000065066306,0.000081728314,0.00011170427],"about_ca_topic_score_codex":0.00012497845,"about_ca_topic_score_gemma":0.000011391582,"teacher_disagreement_score":0.04710283,"about_ca_system_score_codex":0.000062461106,"about_ca_system_score_gemma":0.00006932116,"threshold_uncertainty_score":0.3103062},"labels":[],"label_agreement":null},{"id":"W4407906482","doi":"10.3390/app15052344","title":"A Comparison of the Application of Load Monitoring Metrics for Key Match Characteristics in Women’s Rugby Sevens","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sport Centre Pacific; University of Victoria","funders":"","keywords":"Statistics; Computer science; Mathematics","score_opus":0.038675824660721274,"score_gpt":0.35881211956059855,"score_spread":0.32013629489987727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407906482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971002,0.000051505926,0.00059729145,0.00010681197,0.00010780168,0.00033631254,0.0000020357666,0.00000676478,0.0016913078],"genre_scores_gemma":[0.9986053,0.000008582418,0.0011802475,0.000043399166,0.000024968977,0.000101618934,9.156034e-7,0.0000022621425,0.00003271326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923044,0.000001699612,0.00028466625,0.00012099414,0.0002261574,0.00013601544],"domain_scores_gemma":[0.9995869,0.00005879307,0.00015394256,0.00012939762,0.00005520461,0.000015793452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056113524,0.000051293788,0.00022082348,0.0001261528,0.00006279687,0.0000055514256,0.00013721104,0.000032328626,0.0000014492513],"category_scores_gemma":[0.000032356587,0.00003581447,0.000023335011,0.0009500512,0.0001349318,0.00002591675,0.000027090022,0.00006371719,4.5068344e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004668886,0.00007827411,0.963449,0.00013103448,0.000007032484,4.0578886e-8,0.0030338957,0.000035607194,0.009910999,0.0022356554,0.000012437785,0.021059327],"study_design_scores_gemma":[0.0005115788,0.000061038154,0.93051565,0.000118547825,0.00002277554,3.0641576e-7,0.0065563205,0.003006553,0.05777111,0.00041084178,0.00097456214,0.00005069898],"about_ca_topic_score_codex":0.000019845997,"about_ca_topic_score_gemma":0.000003605832,"teacher_disagreement_score":0.04786011,"about_ca_system_score_codex":0.000062255305,"about_ca_system_score_gemma":0.00016599066,"threshold_uncertainty_score":0.14604717},"labels":[],"label_agreement":null},{"id":"W4407944195","doi":"10.3390/app15052474","title":"Are Serious Games an Effective Teaching Tool in Anatomy Education? A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematics education; Engineering ethics; Psychology; Engineering","score_opus":0.009346683671139857,"score_gpt":0.33145860538828,"score_spread":0.32211192171714015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407944195","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009353183,0.98983175,0.00007425441,0.000027271592,0.00025791614,0.0032384403,0.000003176984,0.00026023155,0.0062976335],"genre_scores_gemma":[0.00027515364,0.9957906,0.00025242873,0.00028740507,0.000030553212,0.0032994105,0.000006766865,0.000013556138,0.000044124296],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9983756,0.00015120536,0.00056793157,0.00040541208,0.00021623305,0.00028362186],"domain_scores_gemma":[0.99903125,0.0003427558,0.00020759949,0.00035783177,0.000012408835,0.00004812876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012004179,0.00029905958,0.0018674158,0.0004152657,0.00010049491,0.000037981856,0.00073720096,0.0003230025,0.00000771955],"category_scores_gemma":[0.00047442561,0.00021669698,0.000118255906,0.0010723672,0.00015591305,0.00008630404,0.000064608634,0.00083593786,0.000030131212],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.8218474e-8,0.00001569958,2.6256257e-7,0.49903283,0.000013686555,0.00000199855,0.000014882461,6.825576e-7,1.2154136e-8,0.007348016,0.00024639975,0.4933255],"study_design_scores_gemma":[0.00003609529,0.000010244915,0.0000010385581,0.671572,0.00033307195,0.000016524424,0.00020041605,0.00003294611,3.2948404e-7,0.0007937584,0.3267257,0.00027786472],"about_ca_topic_score_codex":0.0000050564145,"about_ca_topic_score_gemma":0.000014698597,"teacher_disagreement_score":0.49304762,"about_ca_system_score_codex":0.00014313385,"about_ca_system_score_gemma":0.00026098767,"threshold_uncertainty_score":0.88366467},"labels":[],"label_agreement":null},{"id":"W4407944201","doi":"10.3390/app15052476","title":"A Small-Scale Evaluation of Large Language Models Used for Grammatical Error Correction in a German Children’s Literature Corpus: A Comparative Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"German; Computer science; Linguistics; Natural language processing; Artificial intelligence; Philosophy","score_opus":0.04146972705040574,"score_gpt":0.3714450331222936,"score_spread":0.32997530607188785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407944201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69605565,0.0005232134,0.3010786,0.0000866265,0.00011221591,0.001673122,0.000005033592,0.00012450072,0.00034107605],"genre_scores_gemma":[0.92338866,5.742519e-7,0.07612972,0.0000654958,0.000011398559,0.00037136066,0.0000069172943,0.0000029009577,0.000022948385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833983,0.00013593977,0.0003060843,0.00047816016,0.00049578585,0.00024417724],"domain_scores_gemma":[0.99920243,0.00017036608,0.00014789836,0.00027425552,0.00017665715,0.000028389315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023773736,0.00013961039,0.0002627906,0.00036740038,0.0001655494,0.00018486122,0.0007808226,0.00007173488,0.0000013261646],"category_scores_gemma":[0.0000556121,0.000111000416,0.0000411829,0.0016143806,0.00010470188,0.00036549103,0.00015592467,0.0001603429,5.7585277e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018525268,0.0034486684,0.0066868714,0.00020401608,0.00009967949,0.0000046983355,0.32668516,0.0033405833,0.03154794,0.56948376,0.00067654497,0.05763682],"study_design_scores_gemma":[0.0014025108,0.00020810726,0.0019824111,0.00016578838,0.00003529113,0.0000029227429,0.0026795736,0.8696953,0.028725445,0.0948905,0.0000026217574,0.00020951102],"about_ca_topic_score_codex":0.000046324298,"about_ca_topic_score_gemma":0.0006401824,"teacher_disagreement_score":0.86635476,"about_ca_system_score_codex":0.000068634785,"about_ca_system_score_gemma":0.00017098743,"threshold_uncertainty_score":0.45264655},"labels":[],"label_agreement":null},{"id":"W4407963344","doi":"10.3390/app15052516","title":"Review of the AI-Based Analysis of Abdominal Organs from Routine CT Scans","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Medicine; Nuclear medicine","score_opus":0.009194561854094983,"score_gpt":0.31735213863946493,"score_spread":0.3081575767853699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407963344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8629958,0.013264474,0.025313606,0.04890795,0.0002875356,0.000725735,0.00003540957,0.00004134736,0.04842812],"genre_scores_gemma":[0.98837405,0.00024436982,0.0018913894,0.009384425,0.000015674874,0.0000045324923,0.000008156555,0.0000023825746,0.000075026255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990346,0.000034434954,0.00029723768,0.00018975469,0.0003303541,0.000113656264],"domain_scores_gemma":[0.999322,0.0001833726,0.00014523412,0.00026110158,0.000051526316,0.00003679119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085314707,0.000069133035,0.00039782637,0.00015194179,0.00008295581,0.000006920883,0.00029951707,0.000013798653,0.0002406172],"category_scores_gemma":[0.00034388778,0.000039292958,0.00012787295,0.002700319,0.000604341,0.000012958861,0.000042484364,0.00014119914,9.417805e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010571427,0.00049090135,0.7607038,0.0041222833,0.001799229,0.000006847445,0.00044214068,0.003976516,0.07554415,0.018165529,0.017442804,0.11720008],"study_design_scores_gemma":[0.0037690864,0.00020391749,0.4988544,0.017909786,0.017523134,0.000004940152,0.000867605,0.327703,0.10045745,0.002231466,0.02996002,0.0005151942],"about_ca_topic_score_codex":0.00034991992,"about_ca_topic_score_gemma":0.000025285992,"teacher_disagreement_score":0.32372648,"about_ca_system_score_codex":0.000014963735,"about_ca_system_score_gemma":0.00028771796,"threshold_uncertainty_score":0.26345897},"labels":[],"label_agreement":null},{"id":"W4407976220","doi":"10.3390/app15052502","title":"Numerical Study on Redbed Slope Stability Under Multi-Factor Conditions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geology","score_opus":0.031134658965594683,"score_gpt":0.28217159192312913,"score_spread":0.25103693295753443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407976220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85645425,0.00002901012,0.12755407,0.00022495103,0.0002470718,0.00032740642,0.000010665035,0.00083267124,0.014319917],"genre_scores_gemma":[0.99949276,0.0000011201531,0.0003402896,0.000044492856,0.000010659948,0.000045313256,0.0000014690241,0.0000051461298,0.00005871489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992002,0.000011886934,0.0001606522,0.00024911598,0.00017949604,0.00019863748],"domain_scores_gemma":[0.99960387,0.00011269299,0.000010549515,0.00020835515,0.000012525341,0.000052026342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017037152,0.000111650086,0.00015701169,0.00011131167,0.00015016066,0.000045626603,0.00022574773,0.00004104294,0.00009834695],"category_scores_gemma":[0.000030099514,0.00009224143,0.00004333607,0.00086326565,0.00009989392,0.000034359342,0.000023155384,0.00015042524,0.000038500646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019985928,0.00023926666,0.0007712662,0.000011824689,0.00005044464,7.4575655e-7,0.00012103163,0.9813735,0.012228085,0.0043681012,0.0001590756,0.00067468424],"study_design_scores_gemma":[0.0011744793,0.00021275367,0.25687578,0.000040059505,0.00009599312,5.158403e-7,0.0035841456,0.71121234,0.02214426,0.002904441,0.0009449072,0.00081032753],"about_ca_topic_score_codex":0.000011842221,"about_ca_topic_score_gemma":0.0000034519092,"teacher_disagreement_score":0.27016115,"about_ca_system_score_codex":0.00003994748,"about_ca_system_score_gemma":0.000018074057,"threshold_uncertainty_score":0.37614965},"labels":[],"label_agreement":null},{"id":"W4408061874","doi":"10.3390/app15052613","title":"Landslide Recognition Based on DeepLabv3+ Framework Fusing ResNet101 and ECA Attention Mechanism","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Mechanism (biology); Landslide; Geology; Physics","score_opus":0.010555741631256207,"score_gpt":0.23277417707789153,"score_spread":0.22221843544663533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408061874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8253108,0.000025720654,0.016049204,0.001018351,0.00027956007,0.000247143,0.0000036103588,0.00007715131,0.15698841],"genre_scores_gemma":[0.9892628,0.000026296408,0.009478097,0.0009872969,0.000022069135,0.000015438853,0.000004682529,0.0000044411204,0.00019882989],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892217,0.000026785214,0.00013809981,0.00039367026,0.0002902817,0.00022899336],"domain_scores_gemma":[0.9996385,0.00012500353,0.000053642587,0.00012508983,0.000004404636,0.00005336625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053330616,0.00010788105,0.00009886557,0.000078636185,0.0005294986,0.0001067448,0.00014837318,0.00011556923,0.00037281567],"category_scores_gemma":[0.000030277368,0.000079222766,0.000025640518,0.00051543786,0.00023741387,0.00008964691,0.00007878597,0.00015037869,0.00014285657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006026262,0.0006056176,0.090353966,0.00012329167,0.00007490872,0.000039279636,0.0012541916,0.0147213545,0.115758166,0.13955918,0.006656881,0.6302505],"study_design_scores_gemma":[0.002590155,0.00067208335,0.09149262,0.0008605968,0.00018176221,0.000012739457,0.0014059158,0.082155816,0.04367971,0.76184034,0.013701707,0.0014065629],"about_ca_topic_score_codex":0.00004424702,"about_ca_topic_score_gemma":0.000027638027,"teacher_disagreement_score":0.62884396,"about_ca_system_score_codex":0.00004419279,"about_ca_system_score_gemma":0.000015150399,"threshold_uncertainty_score":0.40820703},"labels":[],"label_agreement":null},{"id":"W4408090715","doi":"10.3390/app15052684","title":"From Pixels to Diagnosis: Early Detection of Diabetic Retinopathy Using Optical Images and Deep Neural Networks","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Diabetic retinopathy; Artificial intelligence; Medicine; Pixel; Computer science; Optometry; Ophthalmology; Computer vision; Pattern recognition (psychology); Diabetes mellitus","score_opus":0.012019851836676764,"score_gpt":0.2805422676696561,"score_spread":0.26852241583297937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408090715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97900546,0.00047651766,0.019197354,0.0005457684,0.000068849346,0.00010945792,6.447108e-7,0.000019867495,0.00057609385],"genre_scores_gemma":[0.99582684,0.000014047388,0.003825034,0.0002398309,0.000065727676,0.000014164308,5.108591e-7,0.0000033784158,0.000010491578],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918246,0.000019594556,0.00017209258,0.0002781178,0.00017666143,0.0001710721],"domain_scores_gemma":[0.9995713,0.00016199799,0.00004337663,0.00011059403,0.000035759924,0.0000769478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002510269,0.000081192564,0.00021358868,0.00013871337,0.00012668422,0.00005995822,0.0000827175,0.000032562984,0.0000059586346],"category_scores_gemma":[0.00008524938,0.00006378478,0.000036291578,0.00064965646,0.0003242095,0.00004792384,0.000054826953,0.000088703404,0.0000011890522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082947496,0.00007675729,0.27121133,0.00003899631,0.000055424996,0.000008032829,0.00053655973,0.0023853495,0.5725455,0.00012683128,0.000019042149,0.15291321],"study_design_scores_gemma":[0.00069992867,0.00040092538,0.3738605,0.00032608092,0.00078478776,0.000008356746,0.0019612722,0.28460613,0.335698,0.0013262937,0.000025168289,0.00030252733],"about_ca_topic_score_codex":0.00023975909,"about_ca_topic_score_gemma":0.000006310313,"teacher_disagreement_score":0.28222078,"about_ca_system_score_codex":0.000011689201,"about_ca_system_score_gemma":0.00001335507,"threshold_uncertainty_score":0.26010677},"labels":[],"label_agreement":null},{"id":"W4408114024","doi":"10.3390/app15052660","title":"Enhancing Security and Efficiency in IoT Assistive Technologies: A Novel Hybrid Systolic Array Multiplier for Cryptographic Algorithms","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"King Salman Center for Disability Research","keywords":"Computer science; Cryptography; Multiplier (economics); Internet of Things; Algorithm; Embedded system","score_opus":0.011482603975568138,"score_gpt":0.265278128011945,"score_spread":0.25379552403637684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408114024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91506016,0.0005334734,0.08244508,0.0001162816,0.00007990306,0.0003649012,0.0000079786705,0.000038192506,0.0013540027],"genre_scores_gemma":[0.98925066,0.000022469625,0.010480004,0.00012795368,0.000025112035,0.00007707975,0.000004259314,0.0000028874776,0.000009602523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988275,0.000012228878,0.00019087897,0.0005716248,0.00008128606,0.00031649074],"domain_scores_gemma":[0.99966633,0.000091442766,0.00006233811,0.000125045,0.000030903822,0.000023953522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544114,0.00013341325,0.00016428978,0.00012828069,0.0002525465,0.00004413832,0.00028927193,0.0001128722,4.4624954e-7],"category_scores_gemma":[0.00019069627,0.000100066376,0.00004235494,0.00043881475,0.0005149117,0.0000021129981,0.00015820508,0.00009215654,3.7913728e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019303827,0.000067339315,0.0019614773,0.000028366248,0.000008746479,3.190165e-7,0.00003801611,0.00003153061,0.9892403,0.002044624,0.000010735458,0.0065492284],"study_design_scores_gemma":[0.00083677494,0.0003078277,0.0036035879,0.00007567572,0.000011754614,0.000004725727,0.0017983712,0.002507717,0.984731,0.004126935,0.0016548306,0.00034075903],"about_ca_topic_score_codex":0.000010744204,"about_ca_topic_score_gemma":0.000025719628,"teacher_disagreement_score":0.07419044,"about_ca_system_score_codex":0.000009570565,"about_ca_system_score_gemma":0.00005564973,"threshold_uncertainty_score":0.40805882},"labels":[],"label_agreement":null},{"id":"W4408167596","doi":"10.3390/app15062916","title":"An Experimental Study of Radiated Energy from an Optical Fiber and the Potential for an Optical MIMO System","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Optiwave Systems (Canada)","funders":"","keywords":"Optical fiber; Materials science; Telecommunications; Computer science","score_opus":0.009074958566171831,"score_gpt":0.2479523022766046,"score_spread":0.2388773437104328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408167596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941939,0.0001643639,0.0027914695,0.00003234226,0.00012672014,0.00036814928,0.000004310329,0.00028616178,0.002032594],"genre_scores_gemma":[0.99054986,0.0000021867863,0.009252061,0.000015282212,0.000046243425,0.000119018376,0.000003935727,0.000008893534,0.0000025326394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899334,0.000027299287,0.00022489559,0.0003240662,0.00018952807,0.00024085992],"domain_scores_gemma":[0.99945563,0.00016838998,0.000019743546,0.0002759047,0.000015439618,0.000064891814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028692104,0.00013199194,0.00023872138,0.00006462956,0.00017440395,0.00011503039,0.0004742139,0.00009257624,0.0000048712545],"category_scores_gemma":[0.000009641547,0.00008927803,0.00002196835,0.00024770809,0.00075543416,0.00013538609,0.00007932028,0.00007649782,7.70885e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034130635,0.000966597,0.00010860896,0.000030775445,0.00012887412,0.000003939403,0.0011978486,0.06721752,0.06651202,0.8439948,0.00010355784,0.01939417],"study_design_scores_gemma":[0.0021854455,0.0010750358,0.000749437,0.000015883656,0.00007524441,0.0000017156947,0.035941083,0.91576266,0.04198803,0.0019331092,0.000027778526,0.0002445832],"about_ca_topic_score_codex":0.00006465336,"about_ca_topic_score_gemma":0.000027664577,"teacher_disagreement_score":0.84854513,"about_ca_system_score_codex":0.000019952939,"about_ca_system_score_gemma":0.000013165165,"threshold_uncertainty_score":0.36406523},"labels":[],"label_agreement":null},{"id":"W4408200424","doi":"10.3390/app15052850","title":"Development and Implementation of a Machine Learning Model to Identify Emotions in Children with Severe Motor and Communication Impairments","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Computer science; Developmental psychology; Cognitive psychology","score_opus":0.025470804779596568,"score_gpt":0.3255368226407336,"score_spread":0.300066017861137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408200424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972961,0.00001550253,0.0017792677,0.00023105243,0.0000056014487,0.00030275082,0.000003141009,0.000013011353,0.00035359603],"genre_scores_gemma":[0.9867756,0.000010533677,0.012999769,0.00014722357,9.1531524e-7,0.000025241447,0.0000014795534,0.0000018272583,0.000037432383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993898,0.000026010846,0.00012932469,0.00022079007,0.00012917638,0.00010487662],"domain_scores_gemma":[0.99980307,0.00004503077,0.000052307983,0.00006715979,0.000008757209,0.000023704442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025430165,0.00006128285,0.00007429979,0.00015488795,0.00023000997,0.00006536461,0.00016808424,0.0000120591485,0.000001777331],"category_scores_gemma":[0.000008313122,0.000049163245,0.0000040931363,0.0003229699,0.000108629065,0.000117470074,0.00016134139,0.000055112116,4.9450205e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041988853,0.00013356519,0.4522523,0.000047590514,0.000018866835,3.6561931e-7,0.017548257,0.010494239,0.4434401,0.012350181,0.00004188842,0.063630655],"study_design_scores_gemma":[0.0009655254,0.00014010732,0.83865714,0.000095601856,0.000008651447,0.000011879274,0.0025859748,0.027273802,0.12877029,0.0012434276,0.000049236292,0.00019839455],"about_ca_topic_score_codex":0.000058395883,"about_ca_topic_score_gemma":0.00018482361,"teacher_disagreement_score":0.3864048,"about_ca_system_score_codex":0.000014589096,"about_ca_system_score_gemma":0.0000455219,"threshold_uncertainty_score":0.20048189},"labels":[],"label_agreement":null},{"id":"W4408201618","doi":"10.3390/app15052830","title":"Models to Identify Small Brain White Matter Hyperintensity Lesions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperintensity; Segmentation; Context (archaeology); White matter; Medicine; Artificial intelligence; Magnetic resonance imaging; Computer science; Pattern recognition (psychology); Radiology","score_opus":0.0977056648071548,"score_gpt":0.3142707164477433,"score_spread":0.21656505164058848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408201618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7275105,0.0000031314185,0.045799647,0.024083618,0.00045364077,0.00033147834,0.000003561057,0.00015245637,0.20166197],"genre_scores_gemma":[0.96638554,0.0000012040463,0.0008274133,0.026839264,0.000018233228,0.00005446466,2.7312046e-7,0.0000045655993,0.0058690514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987289,0.000046682922,0.00017083147,0.00057905616,0.00022305519,0.0002515239],"domain_scores_gemma":[0.9994348,0.00015202594,0.000043601354,0.00026224466,0.000026395954,0.000080878235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038256778,0.00010062138,0.00010276581,0.00020600835,0.00057457696,0.0001960658,0.00048307417,0.000038267404,0.00011932102],"category_scores_gemma":[0.000093105205,0.00008828888,0.00003669335,0.0011573817,0.00027790258,0.00012321134,0.00013627308,0.00010702248,0.00066064205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012066691,0.000035586003,0.00059024617,0.0000060050515,8.891311e-7,0.0000010227762,0.00034608378,0.00079163065,0.8779714,0.10731447,0.00969362,0.0032369972],"study_design_scores_gemma":[0.00041646406,0.000061313665,0.16251308,0.000039647755,0.000013041938,0.00002231273,0.0023464763,0.013954354,0.7167844,0.08628794,0.016973024,0.00058791577],"about_ca_topic_score_codex":0.000014950971,"about_ca_topic_score_gemma":0.000034418383,"teacher_disagreement_score":0.23887503,"about_ca_system_score_codex":0.000028829201,"about_ca_system_score_gemma":0.000052190004,"threshold_uncertainty_score":0.84914374},"labels":[],"label_agreement":null},{"id":"W4408373458","doi":"10.3390/app15063054","title":"3D-Printed Concrete Bridges: Material, Design, Construction, and Reinforcement","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement; Engineering; Structural engineering; Construction engineering; Materials science","score_opus":0.014512189091338086,"score_gpt":0.23311793844843565,"score_spread":0.21860574935709756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408373458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6866728,0.00006931221,0.23416758,0.00015262164,0.0024390682,0.00046075854,0.000009641784,0.00049128395,0.07553695],"genre_scores_gemma":[0.9686663,0.000049630224,0.030901534,0.00018881955,0.000049271,0.000050650036,0.0000035556434,0.0000051695133,0.00008502727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928075,0.000012161645,0.00025902127,0.00017695704,0.0001037968,0.0001673131],"domain_scores_gemma":[0.999744,0.000041095598,0.000034000368,0.00011783875,0.00004226958,0.000020775671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223038,0.00010696403,0.00012986457,0.00015016459,0.00024742004,0.00017918782,0.00013090995,0.000049755323,0.0001870889],"category_scores_gemma":[0.000013068752,0.00010186236,0.000009333419,0.0003797662,0.00048014018,0.000104571205,0.000040867493,0.00004304703,0.000015150977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019301386,5.8714323e-7,0.00017865989,0.00007175645,0.00005154128,7.410162e-7,0.000117190655,0.0060173185,0.5227672,0.44948542,0.0024512457,0.018839033],"study_design_scores_gemma":[0.00041886378,0.00003121668,0.00017730858,0.000052078023,0.000026247084,0.000024100778,0.0010352812,0.013101374,0.9612222,0.004315633,0.019251218,0.00034452253],"about_ca_topic_score_codex":0.000007557469,"about_ca_topic_score_gemma":3.0366456e-7,"teacher_disagreement_score":0.4451698,"about_ca_system_score_codex":0.000025210067,"about_ca_system_score_gemma":0.00004681131,"threshold_uncertainty_score":0.41538265},"labels":[],"label_agreement":null},{"id":"W4408527319","doi":"10.3390/app15063253","title":"Using Topic Modeling as a Semantic Technology: Examining Research Article Claims to Identify the Role of Non-Human Actants in the Pursuit of Scientific Inventions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Engineering ethics; Knowledge management; Epistemology; Sociology; Data science; Management science; Computer science; Engineering; Philosophy","score_opus":0.2594868480807244,"score_gpt":0.5458822664470235,"score_spread":0.2863954183662991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408527319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821695,0.000069121954,0.0025802732,0.001390707,0.000056649267,0.00028499297,3.8631327e-7,0.000008273118,0.013440081],"genre_scores_gemma":[0.99802643,0.0000016275658,0.001796276,0.000035457462,0.000016716533,0.000023909872,2.112384e-7,0.0000015519091,0.00009782864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978355,0.00028619514,0.00029506424,0.00026582766,0.0010323814,0.0002849887],"domain_scores_gemma":[0.9990215,0.00049695274,0.00007286468,0.00021207385,0.00017249657,0.000024143752],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.013227396,0.000052848878,0.00013080264,0.00075296615,0.0019516436,0.0002668127,0.0013182744,0.000043842054,0.000018220082],"category_scores_gemma":[0.00032952573,0.000035109602,0.000037628066,0.008035899,0.0015717422,0.00010433801,0.00024480213,0.00015677891,0.0000043747764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036031292,0.000101104124,0.01583528,0.000010457171,0.000016228652,4.935902e-7,0.021181006,0.010519604,0.28931257,0.6441171,0.000012766716,0.018889729],"study_design_scores_gemma":[0.00008553722,0.000023811408,0.007972409,0.00007988016,0.00002163096,2.5270873e-7,0.11911475,0.06367739,0.008451821,0.80037975,0.00012579063,0.000066981396],"about_ca_topic_score_codex":0.0014230479,"about_ca_topic_score_gemma":0.002178605,"teacher_disagreement_score":0.28086075,"about_ca_system_score_codex":0.00003477179,"about_ca_system_score_gemma":0.00032492678,"threshold_uncertainty_score":0.9993477},"labels":[],"label_agreement":null},{"id":"W4408717561","doi":"10.3390/app15073452","title":"Best-Suited Communication Technology for Maritime Signaling Facilities: A Literature Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Satellite Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis","keywords":"Computer science; Telecommunications; Business","score_opus":0.05272866292656976,"score_gpt":0.3333749587455936,"score_spread":0.28064629581902384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408717561","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.5610474e-8,0.98138916,0.0005325393,0.00007588426,0.00011745355,0.002568157,0.00015733425,0.00046727282,0.01469209],"genre_scores_gemma":[0.000005994827,0.9903232,0.0054229647,0.00006341582,0.00002824645,0.0030802097,0.0003261656,0.000029671593,0.0007201682],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980143,0.000107292915,0.0009007788,0.00041311374,0.0002226083,0.0003419595],"domain_scores_gemma":[0.9970181,0.0011959937,0.00021926496,0.0013982761,0.00012458094,0.000043802534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011604443,0.00040433116,0.0013837852,0.0006520532,0.00030564665,0.00018495161,0.0024348358,0.00044744601,0.00002387437],"category_scores_gemma":[0.00016302656,0.00035047295,0.00023909462,0.0031803593,0.0002888365,0.000106472085,0.00022876207,0.0004854608,0.00006916226],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.6216944e-7,0.0000074126806,1.2120535e-7,0.1578049,0.000047850677,2.1334722e-7,0.00008489161,0.000008700373,0.0000032010919,0.0067295874,0.0009406016,0.8343722],"study_design_scores_gemma":[0.000031315263,0.000007838884,4.8919837e-9,0.14854214,0.00012028876,0.000008766332,0.00009487233,0.00004574081,0.000005672794,0.0005390127,0.8503361,0.00026824904],"about_ca_topic_score_codex":0.0000017059348,"about_ca_topic_score_gemma":0.0000029180394,"teacher_disagreement_score":0.8493955,"about_ca_system_score_codex":0.00011718491,"about_ca_system_score_gemma":0.00016812728,"threshold_uncertainty_score":0.99989474},"labels":[],"label_agreement":null},{"id":"W4408782904","doi":"10.3390/app15073552","title":"Can Machine Learning Enhance Computer Vision-Predicted Wrist Kinematics Determined from a Low-Cost Motion Capture System?","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Computer vision; Motion capture; Artificial intelligence; Computer science; Kinematics; Motion (physics); Physics","score_opus":0.0069816874154646266,"score_gpt":0.26207246237228565,"score_spread":0.25509077495682103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408782904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96723354,0.00010273194,0.026353003,0.0011467368,0.0006610933,0.00061665184,0.000020125739,0.00018841586,0.0036777242],"genre_scores_gemma":[0.99474514,0.000006859527,0.0042785513,0.0003259291,0.00015305939,0.000041825857,0.00010277529,0.0000073069823,0.00033857676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985097,0.00007416969,0.0003787038,0.0004158004,0.0004000267,0.00022160509],"domain_scores_gemma":[0.9990075,0.0004824203,0.0001400546,0.00019992079,0.0000779321,0.00009216896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905043,0.00015569839,0.00031402372,0.00018584922,0.0003469262,0.000060218626,0.00012621931,0.0001043629,0.000040259278],"category_scores_gemma":[0.00012838491,0.00011353985,0.00006293132,0.00069166464,0.00028078695,0.0000681686,0.000052443702,0.00022205076,0.00001390679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008762355,0.0013059181,0.22564708,0.00447739,0.00034295575,0.00017273554,0.012998945,0.012397544,0.24510588,0.006992225,0.0034513534,0.48623174],"study_design_scores_gemma":[0.0034082143,0.0005828155,0.16732177,0.004830932,0.00044727154,0.000043244123,0.008449815,0.7876822,0.022839392,0.00076022244,0.0027441503,0.0008899781],"about_ca_topic_score_codex":0.00023783925,"about_ca_topic_score_gemma":0.00005328993,"teacher_disagreement_score":0.77528465,"about_ca_system_score_codex":0.00006545528,"about_ca_system_score_gemma":0.00011569445,"threshold_uncertainty_score":0.46300206},"labels":[],"label_agreement":null},{"id":"W4408828762","doi":"10.3390/app15073584","title":"Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.03687860959829866,"score_gpt":0.3427188567204088,"score_spread":0.30584024712211016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408828762","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013958702,0.9941302,0.0009756736,0.0000014433973,0.00073170284,0.0018334566,0.00004327635,0.0005952459,0.0016750275],"genre_scores_gemma":[0.00030288883,0.9965475,0.0028286467,0.000029363337,0.00009580661,0.00014931691,0.000013051129,0.000029896246,0.0000035207906],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978903,0.00006567148,0.0009421868,0.0004242496,0.00036731185,0.0003102663],"domain_scores_gemma":[0.99815637,0.0009137123,0.00042235953,0.00033107013,0.00012151857,0.00005494202],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033202977,0.00044025035,0.0018230692,0.0004575346,0.00017211855,0.0000520256,0.0004241324,0.00022226862,0.000009626601],"category_scores_gemma":[0.0001916178,0.0003473575,0.00026846942,0.0017374427,0.00018279899,0.00008873117,0.000097721,0.00031799288,0.000005749301],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.171304e-7,0.0000049484065,3.296715e-7,0.0937663,0.000049778544,0.000005060306,0.000024687339,0.0007325701,0.00024504523,0.000083899475,0.001956023,0.90313053],"study_design_scores_gemma":[0.00019245879,0.00004638596,0.000001041138,0.30062777,0.0008818623,0.00006295276,0.00018570802,0.0016642829,0.0023590878,0.0001223885,0.6928442,0.0010118482],"about_ca_topic_score_codex":0.000012731971,"about_ca_topic_score_gemma":0.0000015702776,"teacher_disagreement_score":0.9021187,"about_ca_system_score_codex":0.00011925288,"about_ca_system_score_gemma":0.00037826842,"threshold_uncertainty_score":0.99989784},"labels":[],"label_agreement":null},{"id":"W4408848564","doi":"10.3390/app15073618","title":"Neural Network-Based Prediction of Amplification Factors for Nonlinear Soil Behaviour: Insights into Site Proxies","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Artificial neural network; Nonlinear system; Environmental science; Geology; Computer science; Artificial intelligence; Physics","score_opus":0.012213404685499925,"score_gpt":0.23561427228642737,"score_spread":0.22340086760092745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408848564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947857,0.000038349182,0.0029822346,0.00013403733,0.00020030083,0.00037485544,0.00000738142,0.000039181792,0.0014379501],"genre_scores_gemma":[0.99732584,0.0000070850356,0.0024073387,0.00006919606,0.00002692847,0.00004542736,0.000037432634,0.0000037721722,0.00007697867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990796,0.000012490671,0.00021121756,0.0002852819,0.00023134121,0.0001800872],"domain_scores_gemma":[0.9996453,0.000077134115,0.00010120106,0.00012863701,0.000011922218,0.000035814748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022507741,0.00009475673,0.000112134214,0.00004759029,0.00038570832,0.00003483431,0.00020961274,0.00007582665,0.000030972253],"category_scores_gemma":[0.000012686244,0.00006366781,0.00004565816,0.0005074844,0.00044364374,0.000109277236,0.000053951157,0.0000631256,0.0000056106346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007207876,0.00016658487,0.73075384,0.000029417966,0.000014793472,1.8479233e-7,0.0014976456,0.21126118,0.043743335,0.0035813446,0.0013577437,0.007521847],"study_design_scores_gemma":[0.0010840849,0.00040356859,0.5303481,0.000059996473,0.00011891319,3.347702e-7,0.0007362795,0.3570382,0.094648525,0.0067388127,0.008445489,0.0003776569],"about_ca_topic_score_codex":0.00015274632,"about_ca_topic_score_gemma":0.00016359579,"teacher_disagreement_score":0.2004057,"about_ca_system_score_codex":0.00005206285,"about_ca_system_score_gemma":0.00003161866,"threshold_uncertainty_score":0.29665956},"labels":[],"label_agreement":null},{"id":"W4408894194","doi":"10.3390/app15073639","title":"Side-Illuminating Optical Fiber for High-Power-Density-Mediated Intraluminal Photoacoustic Imaging","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Research Institute","keywords":"Photoacoustic imaging in biomedicine; Materials science; Optics; Physics","score_opus":0.005496061349648981,"score_gpt":0.22426877257218816,"score_spread":0.2187727112225392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408894194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6790932,0.0001951821,0.22827472,0.0003228361,0.0010284518,0.00067968614,0.000023068076,0.0007031892,0.08967967],"genre_scores_gemma":[0.9850658,0.00000422431,0.014313736,0.000286843,0.00006407973,0.00006267856,0.000008549598,0.000019241983,0.0001748151],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983673,0.000008506062,0.0003036306,0.0003992931,0.0002621283,0.00065912335],"domain_scores_gemma":[0.99884963,0.00080792024,0.000037550468,0.0001653627,0.000051610747,0.000087901324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722352,0.0002209895,0.0002544097,0.00019119529,0.00038348621,0.00015080118,0.00034387156,0.000058637543,0.00007157613],"category_scores_gemma":[0.00023390891,0.0002113308,0.00005073955,0.0005766209,0.000474373,0.000147513,0.000057569236,0.00020719168,0.000040843515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030942112,0.00007870929,0.00026344327,0.0003232226,0.00008701592,0.000022466047,0.00091173255,0.019904094,0.9004309,0.02921428,0.005815811,0.042917352],"study_design_scores_gemma":[0.0015331561,0.00005567653,0.001977641,0.00022953177,0.00018704991,0.00002870672,0.004716113,0.6459127,0.33375177,0.009149188,0.001412661,0.0010458012],"about_ca_topic_score_codex":0.000015403888,"about_ca_topic_score_gemma":0.0000033041222,"teacher_disagreement_score":0.6260086,"about_ca_system_score_codex":0.00009146868,"about_ca_system_score_gemma":0.00010075903,"threshold_uncertainty_score":0.861782},"labels":[],"label_agreement":null},{"id":"W4409001309","doi":"10.3390/app15073775","title":"Does “Waiting to Start” in Extreme Cold Conditions Alter Physiological, Perceptual and Exercise Performance Responses in Males and Females?","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Physical medicine and rehabilitation; Psychology; Medicine","score_opus":0.10415919327781312,"score_gpt":0.33460115044920447,"score_spread":0.23044195717139135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409001309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806386,0.00008125505,0.000002820524,0.0007608829,0.000020098134,0.00034430856,0.000005700181,0.000021430817,0.00069965824],"genre_scores_gemma":[0.9980669,0.0000900235,0.00038604846,0.0008794655,0.0000130544995,0.00006646533,0.000002144314,0.000002309883,0.00049360987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999137,0.000047933776,0.00017907356,0.00031992298,0.00011459629,0.00020146692],"domain_scores_gemma":[0.9994521,0.0003532366,0.000026769578,0.000084455045,0.000014710028,0.00006869799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003345439,0.00009979137,0.00021240383,0.00020260726,0.000157255,0.00003333585,0.0000711845,0.000047236666,0.00009230616],"category_scores_gemma":[0.00012435348,0.00005590399,0.000013250196,0.00041322617,0.0005954009,0.000063513304,0.000074222604,0.00009010223,0.000005090401],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001595566,0.00010497807,0.07892696,0.00006173381,0.0000032424568,0.0000072209973,0.00091393344,0.000085453656,0.9020509,0.009295796,0.00008310045,0.0068710824],"study_design_scores_gemma":[0.0003689919,0.00013104675,0.99144316,0.00017844913,0.000004295535,0.000001090903,0.0020018218,0.0004498612,0.004545137,0.0006104046,0.00017993173,0.000085821055],"about_ca_topic_score_codex":0.000009618114,"about_ca_topic_score_gemma":0.000022540005,"teacher_disagreement_score":0.9125162,"about_ca_system_score_codex":0.000015529578,"about_ca_system_score_gemma":0.000049815982,"threshold_uncertainty_score":0.22796986},"labels":[],"label_agreement":null},{"id":"W4409048351","doi":"10.3390/app15073859","title":"Coordination in Emergency Response System Design: An Application to Hazardous Materials Transportation","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Sichuan Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Hazardous waste; Emergency response; Engineering; Waste management; Medicine; Medical emergency","score_opus":0.026001192014002816,"score_gpt":0.27168168982192376,"score_spread":0.24568049780792095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409048351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8899689,0.000008969683,0.10056675,0.0030279,0.0005253908,0.0012023805,0.0000023644998,0.00017507921,0.0045222966],"genre_scores_gemma":[0.9983514,0.0000011534529,0.00054805225,0.0003883377,0.000054709086,0.000411556,0.000026839145,0.000005033225,0.00021292883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987042,0.000029877498,0.00041421392,0.00040482628,0.00025068282,0.00019621819],"domain_scores_gemma":[0.99964094,0.000013595395,0.000067404246,0.00019052078,0.000076176744,0.00001136652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022657404,0.00011484036,0.00012705584,0.0005778592,0.00024631474,0.00013816588,0.000318764,0.000039332153,0.000078076606],"category_scores_gemma":[0.000032800865,0.00011385269,0.00001620545,0.0018480505,0.00003445695,0.0005495834,0.000022296295,0.000028831677,0.00022420469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006814526,0.0002145968,0.0037155424,0.00046162916,0.000011234908,0.0000012155463,0.0005664303,0.071955815,0.15956314,0.7433944,0.0036249647,0.015809618],"study_design_scores_gemma":[0.0021766075,0.00013428145,0.6771302,0.00021843576,0.00013826635,3.0502338e-7,0.017923847,0.20240256,0.025334086,0.022381153,0.050453223,0.0017070251],"about_ca_topic_score_codex":0.0011040467,"about_ca_topic_score_gemma":0.0013630191,"teacher_disagreement_score":0.7210132,"about_ca_system_score_codex":0.00006282662,"about_ca_system_score_gemma":0.000028569,"threshold_uncertainty_score":0.4642778},"labels":[],"label_agreement":null},{"id":"W4409143587","doi":"10.3390/app15073918","title":"Understanding the Impacts of Rainfall Variability on Natural Forage–Livestock Dynamics in Arid and Semi-Arid Environments","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation; International Development Research Centre; Botswana International University of Science and Technology","keywords":"Arid; Natural (archaeology); Environmental science; Livestock; Forage; Geography; Agroforestry; Ecology; Forestry; Biology","score_opus":0.014574176038431771,"score_gpt":0.2309458877331981,"score_spread":0.21637171169476632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409143587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91040057,0.000012553976,0.0022020638,0.00060645625,0.00010425838,0.00042336248,0.0000017945002,0.000007883403,0.08624104],"genre_scores_gemma":[0.9993184,0.000015504105,0.00015980417,0.00022914616,0.0000046677005,0.000018804152,0.0000016231412,0.000002424129,0.0002495847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998985,0.00005506832,0.00017480683,0.00032539986,0.0002044667,0.00025523725],"domain_scores_gemma":[0.99940133,0.0003243685,0.00007717615,0.00016584567,6.841064e-7,0.000030623865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010067264,0.000109148714,0.00013452623,0.0000710851,0.00024970574,0.000030017012,0.00032361245,0.000044514505,0.000059567577],"category_scores_gemma":[0.000041010382,0.00007289438,0.000021025357,0.00037371507,0.00092165923,0.00010848391,0.0002707941,0.00012880405,0.0000069379266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008197919,0.0001611911,0.67785966,0.000025585457,0.000024304585,0.0000019211332,0.0010748102,0.0053195218,0.0030831972,0.30961987,0.00065003015,0.0020978947],"study_design_scores_gemma":[0.00059244933,0.0001391612,0.8891438,0.000017475968,0.000018518558,7.9646264e-7,0.0021602788,0.016847938,0.00026160132,0.090218745,0.00042529285,0.00017390201],"about_ca_topic_score_codex":0.00012089268,"about_ca_topic_score_gemma":0.0009123128,"teacher_disagreement_score":0.21940114,"about_ca_system_score_codex":0.00031418112,"about_ca_system_score_gemma":0.000012284076,"threshold_uncertainty_score":0.33958918},"labels":[],"label_agreement":null},{"id":"W4409220425","doi":"10.3390/app15074046","title":"Bubble Temperature Effect on the Heat Transfer Performance of R449a During Flow Boiling Inside a Horizontal Smooth Tube","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mechanics; Flow boiling; Bubble; Materials science; Boiling; Tube (container); Boiling heat transfer; Heat transfer; Thermodynamics; Nucleate boiling; Heat transfer coefficient; Physics; Composite material","score_opus":0.006115577790744697,"score_gpt":0.20155916866867749,"score_spread":0.19544359087793278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409220425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844637,0.00032505035,0.00006562012,0.00013962544,0.00021870846,0.00023999858,0.000004462772,0.00012116528,0.014421698],"genre_scores_gemma":[0.99966943,0.000090741196,0.000052229494,0.000065866916,0.000042991716,0.0000497717,6.918486e-7,0.0000089850555,0.000019301495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990329,0.000016974971,0.00018671493,0.0002241477,0.00024232766,0.00029690072],"domain_scores_gemma":[0.99961686,0.00018875726,0.0000018925575,0.0001523128,0.00001375726,0.000026424557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038962762,0.0001784022,0.0002295893,0.00009789455,0.0004529828,0.00004504104,0.00024865527,0.000058987236,0.0000069451216],"category_scores_gemma":[0.000008978527,0.00010904919,0.00006233264,0.0005576853,0.00020601247,0.0000700237,0.000015881848,0.00023669966,0.0000061260607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006603486,0.000024993085,0.001480585,0.00047346365,0.00006658232,0.0000016970114,0.0013943824,0.05438813,0.93761724,0.002047107,0.00009419086,0.0023456204],"study_design_scores_gemma":[0.000323719,0.00017362961,0.0047461,0.00020748853,0.00002063881,0.000001108917,0.00022268503,0.0055977614,0.9884076,0.000034855264,0.000105879684,0.00015850032],"about_ca_topic_score_codex":0.00001469486,"about_ca_topic_score_gemma":0.000030064122,"teacher_disagreement_score":0.050790418,"about_ca_system_score_codex":0.000027870285,"about_ca_system_score_gemma":0.000030378025,"threshold_uncertainty_score":0.4446897},"labels":[],"label_agreement":null},{"id":"W4409220435","doi":"10.3390/app15074041","title":"Integrating Sustainable Performance into the Digital Maturity Models for SMEs in Manufacturing","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Business; Maturity (psychological); Political science","score_opus":0.011605855439396668,"score_gpt":0.22664397388893823,"score_spread":0.21503811844954157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409220435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5296276,0.000051102237,0.0105038695,0.0001360155,0.00009248568,0.00031610267,0.0000018684314,0.000110769295,0.45916018],"genre_scores_gemma":[0.99868405,0.000006168085,0.0007316711,0.00004962743,0.000013572158,0.00013708771,0.0000019944043,0.0000050172466,0.00037083382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928105,0.0000020724456,0.00019113632,0.00012689983,0.00012142665,0.00027741824],"domain_scores_gemma":[0.9997357,0.0001218223,0.000015534848,0.00009670162,0.000013050021,0.000017182694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030811032,0.00009678982,0.000089728535,0.00011473023,0.00023524197,0.00039882393,0.00034649737,0.0000457541,0.0000021868484],"category_scores_gemma":[0.000010922334,0.00006894335,0.000022381546,0.00033548073,0.00013589728,0.00094757054,0.000038493912,0.00014912813,0.0000029356015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008196141,0.000013320393,0.00033200294,0.00043279718,0.000010146586,3.4979433e-7,0.0031748896,0.550219,0.00008337002,0.37443614,0.00059286907,0.07069692],"study_design_scores_gemma":[0.00051280495,0.000032515396,0.0007602432,0.00019308116,0.0000071731333,0.0000017219757,0.054063708,0.6429326,0.06551605,0.21976453,0.015742494,0.00047311117],"about_ca_topic_score_codex":0.000008790452,"about_ca_topic_score_gemma":0.000008531102,"teacher_disagreement_score":0.4690564,"about_ca_system_score_codex":0.00006766152,"about_ca_system_score_gemma":0.000037644553,"threshold_uncertainty_score":0.38458684},"labels":[],"label_agreement":null},{"id":"W4409313533","doi":"10.3390/app15084134","title":"LLM-Enhanced Framework for Building Domain-Specific Lexicon for Urban Power Grid Design","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"State Grid Jiangsu Electric Power","keywords":"Computer science; Power grid; Lexicon; Architectural engineering; Power (physics); Artificial intelligence; Engineering; Physics","score_opus":0.028962359607354066,"score_gpt":0.3241110746509073,"score_spread":0.2951487150435533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409313533","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010216318,0.00024794287,0.99293137,0.00095715927,0.00046344288,0.0012046143,0.0000028084748,0.00046928102,0.0027017784],"genre_scores_gemma":[0.27609602,0.00001197876,0.7225822,0.0005738988,0.00007794153,0.0005734119,8.8680844e-7,0.000008491745,0.0000751224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997533,0.00003153693,0.0003854477,0.0010621125,0.00035209564,0.0006357956],"domain_scores_gemma":[0.99758744,0.00134919,0.0002007971,0.00066635216,0.00011973817,0.000076479504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013586964,0.00024752,0.00034262106,0.0003661267,0.00087511307,0.0004446073,0.0022915762,0.00012796801,0.00000637614],"category_scores_gemma":[0.00007830962,0.00021857751,0.00015688204,0.0017806317,0.00036607115,0.0004885192,0.0002427965,0.0001398867,0.000006260019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016617912,0.000035944988,0.000005418471,0.000007636624,0.000012660871,2.1485371e-7,0.00020628284,0.00027676628,0.04522716,0.9384236,0.0032644689,0.012523255],"study_design_scores_gemma":[0.00017471604,0.00012075799,0.000012995687,0.000033382446,0.0000062731665,3.0849833e-7,0.00010148402,0.0014731096,0.25617084,0.71268433,0.028999612,0.00022220096],"about_ca_topic_score_codex":9.4610266e-7,"about_ca_topic_score_gemma":0.0000010988477,"teacher_disagreement_score":0.2750744,"about_ca_system_score_codex":0.00009246122,"about_ca_system_score_gemma":0.00016026874,"threshold_uncertainty_score":0.8913332},"labels":[],"label_agreement":null},{"id":"W4409314011","doi":"10.3390/app15084140","title":"Performance Evaluation of Triply Periodic Minimal Surface Heat Exchangers Using Nanofluids at High Flow Rates for Enhanced Energy Efficiency","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanofluid; Materials science; Heat exchanger; Mechanics; Environmental science; Chemical engineering; Thermodynamics; Nanotechnology; Nanoparticle; Physics; Engineering","score_opus":0.021769380424753265,"score_gpt":0.26955488804741656,"score_spread":0.2477855076226633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409314011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8800851,0.00039050583,0.116210334,0.0000179203,0.00029520114,0.0002783783,0.000005602802,0.000048023187,0.0026689435],"genre_scores_gemma":[0.9941677,0.00008434486,0.0056094243,0.000020446492,0.000019947367,0.000050778264,0.0000105311265,0.000007969426,0.000028893392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989458,0.000019300613,0.00023319137,0.00022711093,0.00032875116,0.00024589297],"domain_scores_gemma":[0.9996936,0.000071174334,0.000011580988,0.000098545126,0.00009552445,0.000029618903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006899376,0.00012263558,0.00016868563,0.000118638294,0.00027957195,0.000030216672,0.0001558303,0.000059946666,0.00003918819],"category_scores_gemma":[0.000011872855,0.000113568865,0.000035410194,0.00066571153,0.00014894865,0.00012339851,0.000013208672,0.000026272928,0.0000010949447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013770183,0.000007186616,0.000042616804,0.00003741614,0.000004910668,9.286354e-9,0.000349209,0.60897267,0.3874679,0.00012076174,0.000018375502,0.002965159],"study_design_scores_gemma":[0.00029633485,0.000030136813,0.00013689107,0.000018522242,0.000020340745,9.9889476e-8,0.000076359895,0.54509914,0.4542176,0.00001513359,0.000021268334,0.00006812391],"about_ca_topic_score_codex":0.000018361608,"about_ca_topic_score_gemma":0.000014310848,"teacher_disagreement_score":0.114082575,"about_ca_system_score_codex":0.0001125686,"about_ca_system_score_gemma":0.00013353035,"threshold_uncertainty_score":0.4631204},"labels":[],"label_agreement":null},{"id":"W4409434058","doi":"10.3390/app15084248","title":"Non-Thermal Plasma-Catalytic Conversion of Biogas to Value-Added Liquid Chemicals via Ni-Fe/Al2O3 Catalyst","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Catalysis; Biogas; Chemical engineering; Materials science; Waste management; Value (mathematics); Pulp and paper industry; Chemistry; Organic chemistry; Engineering; Mathematics","score_opus":0.009323845618064078,"score_gpt":0.2451049019134996,"score_spread":0.23578105629543553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409434058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782806,0.000052753123,0.00090621755,0.00015838438,0.0002430268,0.00033861524,0.000010675754,0.00010931984,0.019900417],"genre_scores_gemma":[0.99846977,0.0000026177256,0.0009037808,0.00011831122,0.00005596014,0.00003692754,0.000023406004,0.000017932005,0.00037129244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997835,0.0000070217175,0.00050489395,0.00058297126,0.00052930246,0.00054083066],"domain_scores_gemma":[0.99900866,0.00017158018,0.00013641991,0.00045474738,0.00005333948,0.00017523409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236011,0.000260648,0.0004572287,0.00037593895,0.00014973822,0.000022093902,0.00090104126,0.00014632616,0.000063360545],"category_scores_gemma":[0.0001110715,0.00022465811,0.00012674235,0.001637321,0.00036395912,0.00015831369,0.0004203017,0.0001892806,0.00017251642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007029727,0.000036565914,0.000038636186,0.00009971168,0.000037149977,0.0000016157569,0.00028310687,0.0006449619,0.9967403,0.0013634544,0.00010172882,0.00058246],"study_design_scores_gemma":[0.00041815586,0.000049205053,0.00002674836,0.00008779248,0.000051401606,0.0000035979997,0.00030730298,0.004908439,0.9933567,0.00004809136,0.00049610157,0.0002464501],"about_ca_topic_score_codex":0.0002742057,"about_ca_topic_score_gemma":0.0000039469605,"teacher_disagreement_score":0.020189183,"about_ca_system_score_codex":0.00014599206,"about_ca_system_score_gemma":0.00011677578,"threshold_uncertainty_score":0.91612923},"labels":[],"label_agreement":null},{"id":"W4409457086","doi":"10.3390/app15084353","title":"Developing Contextual Ontology for Chronic Diseases: AI-Enhanced Extension and Prediction in an Asthma Case Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Asthma; Extension (predicate logic); Ontology; Computer science; Medicine; Data science; Immunology; Epistemology; Philosophy; Programming language","score_opus":0.028292125074967932,"score_gpt":0.34792732788468567,"score_spread":0.31963520280971774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409457086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97816133,0.0005866107,0.020459758,0.00017978379,0.00013017995,0.0003683877,0.000005628349,0.00001767595,0.0000906624],"genre_scores_gemma":[0.998273,0.000013903611,0.0012315672,0.00026176896,0.000049790233,0.0001249248,0.0000111166155,0.000002672,0.000031217252],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99909705,0.000035814002,0.00015600167,0.0004546723,0.00006458026,0.00019191181],"domain_scores_gemma":[0.9997368,0.000044085697,0.000033104756,0.000116487114,0.00003086001,0.00003867917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029924198,0.0000878968,0.0001286166,0.000067936315,0.0002081185,0.000029482877,0.000113657945,0.00009033995,0.000001322561],"category_scores_gemma":[0.00008321251,0.000071595096,0.000013917634,0.0001477491,0.000367257,0.0000050297363,0.000076356875,0.000047096055,3.1258568e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048891845,0.00055548735,0.033341028,0.00010905658,0.00006373684,0.000080786325,0.0017066839,0.00013674668,0.28877297,0.00508828,0.0007125743,0.6689437],"study_design_scores_gemma":[0.028103817,0.030651672,0.5107813,0.0004418088,0.00026182138,0.00069341576,0.22119166,0.02041946,0.14464317,0.015906936,0.024128115,0.0027768638],"about_ca_topic_score_codex":0.000041560765,"about_ca_topic_score_gemma":0.0017745247,"teacher_disagreement_score":0.66616684,"about_ca_system_score_codex":0.00001945594,"about_ca_system_score_gemma":0.00019774481,"threshold_uncertainty_score":0.2919563},"labels":[],"label_agreement":null},{"id":"W4409621915","doi":"10.3390/app15084562","title":"Survey of Blockchain-Based Applications for IoT","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Computer science; Internet of Things; Computer security","score_opus":0.023217437084550388,"score_gpt":0.2865352379958666,"score_spread":0.26331780091131624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409621915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019160176,0.00014943899,0.97343993,0.0018648244,0.000046701924,0.00081902626,0.000016268385,0.00016627273,0.0043373522],"genre_scores_gemma":[0.9129429,8.5830584e-7,0.08584786,0.00034416595,0.000005475223,0.00081476744,0.0000022477252,0.000002138203,0.000039591825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989097,0.000020744807,0.00024853015,0.00045195522,0.00014834317,0.00022070287],"domain_scores_gemma":[0.9985169,0.00059423276,0.00011391106,0.0005994136,0.00014589076,0.00002962753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011938773,0.000094272466,0.00016613965,0.00024503132,0.00040202096,0.00003547334,0.0017345862,0.00008831139,0.000002442874],"category_scores_gemma":[0.00004549819,0.000085936226,0.00003950049,0.0022884638,0.00052821724,0.0000097643215,0.00013519653,0.00007072307,0.0000041761473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001927396,0.00007581209,0.0008846262,0.000013965937,0.0000051341663,1.4960813e-8,0.000019703315,0.00045170862,0.0010341873,0.9699861,0.00027203027,0.0272548],"study_design_scores_gemma":[0.00084657746,0.00011856059,0.018151851,0.000017636934,0.000017724007,5.2880097e-7,0.0000801011,0.43153438,0.096199706,0.43826523,0.014355406,0.00041229717],"about_ca_topic_score_codex":0.00005407171,"about_ca_topic_score_gemma":0.000094306015,"teacher_disagreement_score":0.89378273,"about_ca_system_score_codex":0.000014038049,"about_ca_system_score_gemma":0.0003442527,"threshold_uncertainty_score":0.35043776},"labels":[],"label_agreement":null},{"id":"W4409701312","doi":"10.3390/app15094653","title":"Using Bi-Temporal Lidar to Evaluate Canopy Structure and Ecotone Influence on Landsat Vegetation Index Trends Within a Boreal Wetland Complex","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria; Government of Alberta; University of Lethbridge","funders":"Western Economic Diversification Canada; Parks Canada","keywords":"Ecotone; Wetland; Environmental science; Remote sensing; Boreal; Lidar; Vegetation (pathology); Vegetation Index; Canopy; Leaf area index; Geography; Physical geography; Normalized Difference Vegetation Index; Ecology; Shrub","score_opus":0.02385614766550692,"score_gpt":0.300875804097399,"score_spread":0.2770196564318921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409701312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97948396,0.00000631016,0.00045010322,0.00049848686,0.000046680143,0.00019886585,0.0000060119783,0.000034020133,0.019275589],"genre_scores_gemma":[0.9928396,0.0000010310687,0.0063374746,0.0007080882,0.000018858304,0.0000041280136,0.000007580834,0.000005203566,0.00007808469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869525,0.000032173724,0.00018874774,0.00047850158,0.00037418428,0.00023114814],"domain_scores_gemma":[0.99957323,0.000043661497,0.00008011065,0.0001931428,0.00001005097,0.000099818564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200332,0.00014454182,0.00014308434,0.00015579285,0.0005113518,0.00013355928,0.00021174314,0.000054586162,0.000029493023],"category_scores_gemma":[0.000014258795,0.00011533508,0.000015554659,0.0010856211,0.00043478722,0.00009491828,0.000097223376,0.000104644285,0.000016520919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009908209,0.00006362334,0.3962383,0.000021303129,0.000021938755,0.0000025812797,0.003349898,0.16201745,0.38322693,0.0033818884,0.0005855491,0.05099147],"study_design_scores_gemma":[0.00037919517,0.000078631434,0.94362086,0.000030888154,0.000019246469,0.000005411165,0.00018326427,0.04053312,0.010192727,0.003476275,0.001240945,0.00023940853],"about_ca_topic_score_codex":0.0014743657,"about_ca_topic_score_gemma":0.0019557697,"teacher_disagreement_score":0.5473826,"about_ca_system_score_codex":0.000079370475,"about_ca_system_score_gemma":0.00004395925,"threshold_uncertainty_score":0.47032282},"labels":[],"label_agreement":null},{"id":"W4409729653","doi":"10.3390/app15094685","title":"A Review of Evaporite Beds Potential for Storage Caverns: Uncovering New Opportunities","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"School of Energy Resources, University of Wyoming; University of Wyoming","keywords":"Evaporite; Geology; Environmental science; Geochemistry; Sedimentary rock","score_opus":0.06913402372748578,"score_gpt":0.31685623270125346,"score_spread":0.24772220897376768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409729653","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000003054445,0.98470163,0.005167355,0.000060317827,0.0002905475,0.0010399026,0.0000446372,0.000023392427,0.008669151],"genre_scores_gemma":[0.00001620644,0.990812,0.0007878088,0.00030072968,0.00006179915,0.0002308455,0.000027252074,0.000009267878,0.007754069],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813604,0.00003942698,0.0005837732,0.00048455683,0.0004712239,0.0002849627],"domain_scores_gemma":[0.99912435,0.00016157904,0.00039058278,0.00023793902,0.000016733202,0.00006880891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008172991,0.00028893774,0.0010520214,0.00009856129,0.00026569283,0.00004799112,0.0006729501,0.00008060002,0.00025135544],"category_scores_gemma":[0.000041837447,0.00021719503,0.00029359868,0.00050771853,0.00039065332,0.00014406868,0.0002973948,0.00008758001,0.000029796807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.541049e-7,0.00001077811,0.000001116166,0.02945689,0.000026766535,8.779135e-7,0.000046817713,0.0000063902653,0.0000023405064,0.0005612375,0.008568729,0.9613172],"study_design_scores_gemma":[0.000073780095,0.000032411393,0.0000019215208,0.020458164,0.00034057462,0.0000024002013,0.00009535915,0.0000046354585,0.000004239005,0.00015496946,0.9786091,0.00022247784],"about_ca_topic_score_codex":0.00014007019,"about_ca_topic_score_gemma":0.00003332746,"teacher_disagreement_score":0.9700403,"about_ca_system_score_codex":0.000109860215,"about_ca_system_score_gemma":0.00027069382,"threshold_uncertainty_score":0.88569564},"labels":[],"label_agreement":null},{"id":"W4409729820","doi":"10.3390/app15094682","title":"An Integrated Planning and Control Framework (IPCF) for Construction Projects—Step 1: Development of the Construction Data Hub (CDH)","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Construction engineering; Process management; Engineering","score_opus":0.025481000999450575,"score_gpt":0.2703481707676143,"score_spread":0.24486716976816372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409729820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20125404,0.000117060976,0.7951231,0.00006356299,0.0009002309,0.0005013526,0.000026177118,0.00010632172,0.0019081621],"genre_scores_gemma":[0.8548954,0.0000027390108,0.14497434,0.00003135394,0.000027203567,0.00005009975,0.000010641544,0.0000039156153,0.000004265728],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922574,0.00001643994,0.0002575434,0.00024239422,0.00012616251,0.00013169523],"domain_scores_gemma":[0.99955034,0.00008976315,0.00007245314,0.00021197392,0.000053178483,0.000022292255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031383973,0.00010487648,0.00012976612,0.00010540524,0.0003552659,0.00008007639,0.00028985224,0.00009022261,0.000005633615],"category_scores_gemma":[0.000036087597,0.00007506745,0.0000117959635,0.00044223716,0.00051586365,0.00018845368,0.000027884418,0.000117425276,3.6235673e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047212096,0.000015276668,0.00980383,0.00011258578,0.00007230954,4.7844292e-8,0.0009207804,0.0021608963,0.04117448,0.30375275,0.00022442918,0.6417154],"study_design_scores_gemma":[0.0030100343,0.00018116331,0.017245296,0.0009857153,0.0002662116,0.00006427875,0.058830425,0.4417317,0.38443285,0.05724174,0.034846224,0.0011643703],"about_ca_topic_score_codex":0.000006081526,"about_ca_topic_score_gemma":0.000020902584,"teacher_disagreement_score":0.6536414,"about_ca_system_score_codex":0.000025751719,"about_ca_system_score_gemma":0.00016295676,"threshold_uncertainty_score":0.3061162},"labels":[],"label_agreement":null},{"id":"W4409918859","doi":"10.3390/app15094937","title":"Home-Based vs. Clinic-Based Rehabilitation After Joint Arthroplasty: A Prospective Matched Cohort Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Joint arthroplasty; Physical therapy; Rehabilitation; Prospective cohort study; Arthroplasty; Physical medicine and rehabilitation; Internal medicine; Surgery","score_opus":0.011414028603395234,"score_gpt":0.2856912096179483,"score_spread":0.27427718101455306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409918859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985886,0.000037091082,0.0008396514,0.0034433552,0.00039032623,0.0036801335,0.0000058720393,0.00022849225,0.005489079],"genre_scores_gemma":[0.9903113,8.206334e-7,0.006387921,0.0016292294,0.00003910588,0.0010909403,0.0000046217506,0.000017202176,0.0005188475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972077,0.00008500277,0.00058563735,0.0009033672,0.00079751713,0.0004207472],"domain_scores_gemma":[0.99845123,0.0006119713,0.00014895412,0.0005197205,0.00014185921,0.00012627195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014111754,0.00027433765,0.0006254287,0.0004305579,0.00028561967,0.0000906009,0.00014066018,0.00008904918,0.00036289767],"category_scores_gemma":[0.00034884497,0.00021626873,0.0001469644,0.001305441,0.0010357136,0.0001141319,0.000069743764,0.00023229329,0.00029950566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080392306,0.0009457986,0.9956121,0.00006881748,0.000055062286,0.000011444118,0.00062800216,0.00009085391,0.00039536302,0.0003334462,0.00042699528,0.00062820205],"study_design_scores_gemma":[0.0045241904,0.0018150976,0.9881791,0.00009354143,0.00012381117,0.000001167202,0.0028933017,0.0004259472,0.0008786683,0.0006023819,0.00024150021,0.00022129042],"about_ca_topic_score_codex":0.0000393484,"about_ca_topic_score_gemma":0.00017382653,"teacher_disagreement_score":0.00743299,"about_ca_system_score_codex":0.0001675314,"about_ca_system_score_gemma":0.0007035121,"threshold_uncertainty_score":0.8819183},"labels":[],"label_agreement":null},{"id":"W4409923760","doi":"10.3390/app15094854","title":"An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Geography; Variation (astronomy); Ecology; Environmental science; Biology","score_opus":0.010594520815854965,"score_gpt":0.26768371781847117,"score_spread":0.2570891970026162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409923760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97936815,9.216252e-7,0.00036801115,0.0000328272,0.00003179974,0.00008692765,0.000003832055,0.000010157808,0.020097366],"genre_scores_gemma":[0.99986976,5.14746e-7,0.00003574554,0.00005720354,0.000007546108,0.000013123953,0.000007443101,8.056188e-7,0.000007824089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930847,0.00002477779,0.00015267379,0.00022615638,0.00016031481,0.00012762539],"domain_scores_gemma":[0.9997417,0.000051191997,0.00005614835,0.00012188943,0.0000023415248,0.00002674142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040771082,0.00005742373,0.00013143384,0.00017238826,0.0001637567,0.000027962304,0.0002127141,0.000037488022,0.0008771381],"category_scores_gemma":[0.0000035221362,0.000036054418,0.00003933912,0.0012085799,0.000046476674,0.00010035797,0.00003532278,0.000033386907,0.000025122306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070170972,0.00011235573,0.7266394,0.0000011521096,0.000014074152,1.5215237e-7,0.00008183253,0.26874888,0.0030380946,0.0011044313,0.000007745623,0.00024486953],"study_design_scores_gemma":[0.00007891833,0.00010598582,0.9335552,0.0000019382264,0.000038635695,2.4321471e-8,0.00009037906,0.06500085,0.00015519698,0.00092418765,0.000007986116,0.00004070592],"about_ca_topic_score_codex":0.005159663,"about_ca_topic_score_gemma":0.04404366,"teacher_disagreement_score":0.20691581,"about_ca_system_score_codex":0.000059001046,"about_ca_system_score_gemma":0.000009613597,"threshold_uncertainty_score":0.97340006},"labels":[],"label_agreement":null},{"id":"W4409923785","doi":"10.3390/app15094828","title":"Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Xinjiang","keywords":"Singular spectrum analysis; Bearing (navigation); Fault (geology); Artificial intelligence; Computer science; Pattern recognition (psychology); Geology; Singular value decomposition; Seismology","score_opus":0.007953196977667198,"score_gpt":0.28255846713283805,"score_spread":0.27460527015517083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409923785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.783927,0.00057834625,0.20848617,0.000034977074,0.00006459816,0.000175889,6.9568017e-7,0.0005193322,0.0062129404],"genre_scores_gemma":[0.96989757,0.00020939088,0.029726839,0.0000364114,0.00003216067,0.000070076,0.0000022403028,0.000015216609,0.000010074646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985626,0.00002490858,0.00028246778,0.000462867,0.00025071198,0.00041646662],"domain_scores_gemma":[0.99945146,0.00026007902,0.000054056163,0.00015072813,0.000017755345,0.00006594589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049244775,0.00022203143,0.0003435419,0.0006653886,0.0004839052,0.0002355673,0.00026493438,0.00009092615,0.000031734893],"category_scores_gemma":[0.00007388683,0.00022378564,0.00008056407,0.0020147439,0.0001744885,0.00015966735,0.00011865268,0.00025551152,0.0000026462242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040901036,0.000032878073,0.08110246,0.000069434434,0.00028568364,0.0000030845802,0.00064453,0.8082433,0.07093818,0.0023622694,0.000008535147,0.03630555],"study_design_scores_gemma":[0.00012356351,0.0000131900215,0.0038950376,0.000039414666,0.0001809598,4.5605717e-7,0.00022998596,0.7913392,0.20296119,0.0008058667,0.00014866632,0.0002624184],"about_ca_topic_score_codex":0.00016131434,"about_ca_topic_score_gemma":0.00012713384,"teacher_disagreement_score":0.18597054,"about_ca_system_score_codex":0.00007484078,"about_ca_system_score_gemma":0.000015022701,"threshold_uncertainty_score":0.9125714},"labels":[],"label_agreement":null},{"id":"W4410037504","doi":"10.3390/app15095035","title":"Assessment of Photogrammetric Performance Test on Large Areas by Using a Rolling Shutter Camera Equipped in a Multi-Rotor UAV","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agencia Estatal de Investigación","keywords":"Photogrammetry; Shutter; Test (biology); Rotor (electric); Computer science; Computer vision; Artificial intelligence; Engineering; Geology; Mechanical engineering","score_opus":0.0392543226628563,"score_gpt":0.29552132528060043,"score_spread":0.25626700261774416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410037504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891559,0.0001583972,0.0003438619,0.000027742839,0.00011186827,0.00029811964,0.00004121047,0.00002261978,0.009840312],"genre_scores_gemma":[0.99751264,0.000020804126,0.002040587,0.00027066597,0.000010369121,0.0000071965837,0.000015776995,0.0000018408978,0.0001201374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985174,0.00004709337,0.0002800888,0.00036521902,0.00036088176,0.00042932207],"domain_scores_gemma":[0.9994098,0.00028643225,0.00009802105,0.0001252593,0.00002310866,0.000057377845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011070506,0.00014567169,0.0002239852,0.00024955662,0.00030671808,0.000085916254,0.00033081835,0.000056198594,0.00015556776],"category_scores_gemma":[0.00004386086,0.00010576172,0.000037805235,0.0017897508,0.0001571418,0.0001383309,0.00002005986,0.00016343847,0.000012764688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001000505,0.00008747225,0.9844184,0.00002611015,0.0000042109978,0.0000011153077,0.00010842776,0.0025426089,0.003309174,0.00002143692,0.00003236111,0.00943866],"study_design_scores_gemma":[0.00055757514,0.00014697349,0.74753016,0.00009237975,0.000006215194,7.328379e-7,0.00066755945,0.2486747,0.0019035861,0.000017534785,0.00021962235,0.00018294962],"about_ca_topic_score_codex":0.0013811531,"about_ca_topic_score_gemma":0.0010879041,"teacher_disagreement_score":0.2461321,"about_ca_system_score_codex":0.000014199385,"about_ca_system_score_gemma":0.00010305527,"threshold_uncertainty_score":0.43128377},"labels":[],"label_agreement":null},{"id":"W4410037569","doi":"10.3390/app15095020","title":"Machine Learning-Based Smartphone Grip Posture Image Recognition and Classification","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Ministry of Education, Science and Technology; National Research Foundation of Korea; Ministry of Trade, Industry and Energy; Pohang University of Science and Technology; Chonbuk National University; Chonbuk National University Hospital; National Research Foundation","keywords":"Computer science; Artificial intelligence; Computer vision; Physical medicine and rehabilitation; Medicine","score_opus":0.025688430354786684,"score_gpt":0.29197713677552023,"score_spread":0.26628870642073355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410037569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7490446,0.000314732,0.0014770821,0.0019992935,0.00027300438,0.00022788404,0.000009730783,0.00006817443,0.24658553],"genre_scores_gemma":[0.99814,0.00002641028,0.00048441495,0.00068106543,0.00001613397,0.000049591494,0.000047826303,0.000004316415,0.00055027346],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99930197,0.000034670375,0.000117675925,0.00032086915,0.00006955974,0.0001552684],"domain_scores_gemma":[0.9997231,0.00007320307,0.000056919915,0.00009656197,0.000019872272,0.000030377456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032070483,0.000082825165,0.00008509275,0.000120240686,0.00024138467,0.000057962603,0.00011221409,0.000060602353,0.00015644931],"category_scores_gemma":[0.00001980583,0.000072455696,0.000023821047,0.00031752774,0.00029925513,0.00004400413,0.000020435791,0.00012165179,0.00014997413],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042671207,0.00060184975,0.038655758,0.00014021102,0.000105224666,0.0000029875257,0.0019352726,0.0000987479,0.18878177,0.18767373,0.009499877,0.5720779],"study_design_scores_gemma":[0.0020389394,0.00025370737,0.9392565,0.000030665913,0.00005462003,0.0000016743385,0.002915826,0.0029190702,0.0012109282,0.028772566,0.0220935,0.00045199972],"about_ca_topic_score_codex":0.00009889536,"about_ca_topic_score_gemma":0.00009277441,"teacher_disagreement_score":0.90060073,"about_ca_system_score_codex":0.000010187075,"about_ca_system_score_gemma":0.00003179892,"threshold_uncertainty_score":0.29546577},"labels":[],"label_agreement":null},{"id":"W4410068692","doi":"10.3390/app15095098","title":"Exploring Interactions of Older Adults with Mild Dementia Participating in Robotherapy with Robot Cats in a Day Hospital in Spain: A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dementia; Mood; Thematic analysis; Psychology; Gerontology; Medicine; Qualitative research; Clinical psychology; Developmental psychology; Disease","score_opus":0.07128141531829867,"score_gpt":0.39938671583870416,"score_spread":0.3281053005204055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410068692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981658,0.00007542898,0.00036190197,0.000109655164,0.000035798803,0.0004339203,8.9543283e-7,0.000004129458,0.0008124712],"genre_scores_gemma":[0.99811065,0.00001041699,0.00073032436,0.00003318391,0.000008379332,0.0010850253,0.0000013487596,0.0000051126835,0.00001558037],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989572,0.000091672555,0.0002701049,0.00035936804,0.00012940989,0.00019223787],"domain_scores_gemma":[0.9996675,0.000074384654,0.00009848099,0.000104370614,0.000039661234,0.00001558234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048538705,0.00011158471,0.00017161152,0.0001909957,0.000063109175,0.000019705052,0.00012525478,0.00001613771,0.0000068026266],"category_scores_gemma":[0.000028816125,0.00008645394,0.000013800463,0.00055464904,0.00016040009,0.000022501335,0.00005777966,0.00009259246,6.0191087e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007092829,0.0018519375,0.5055037,0.000039645045,0.00021504785,0.000006559124,0.44415528,0.0068590455,0.038670387,0.00047238372,0.0000217354,0.0014949685],"study_design_scores_gemma":[0.0020557726,0.0010597641,0.37334538,0.00035082424,0.000013984032,3.4930343e-7,0.5877297,0.00013737078,0.03505393,0.000021875083,0.000018852872,0.00021223899],"about_ca_topic_score_codex":0.0006802885,"about_ca_topic_score_gemma":0.035100102,"teacher_disagreement_score":0.1435744,"about_ca_system_score_codex":0.00002234335,"about_ca_system_score_gemma":0.000048293507,"threshold_uncertainty_score":0.9825068},"labels":[],"label_agreement":null},{"id":"W4410286737","doi":"10.3390/app15105363","title":"Bioactive Glass Preloaded with Antibiotics for Delivery of Long-Term Localized Drug Release Exhibiting Inherent Antimicrobial Activity","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Strong","keywords":"Antimicrobial; Antimicrobial drug; Drug delivery; Drug; Antibiotics; Materials science; Nanotechnology; Medicine; Chemistry; Pharmacology; Biochemistry; Organic chemistry","score_opus":0.01107341258703331,"score_gpt":0.23131814078863844,"score_spread":0.22024472820160512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410286737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305068,0.00004976944,0.06797601,0.000031110976,0.00024959835,0.000552247,0.000021549442,0.00018711148,0.00042579448],"genre_scores_gemma":[0.99400944,0.0000113404685,0.005870933,0.000010169292,0.00003193356,0.0000110196615,0.000004086241,0.000019543213,0.00003154922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990195,0.000013870611,0.00022497517,0.00028072472,0.00015408611,0.00030686802],"domain_scores_gemma":[0.9995308,0.00014233564,0.00007598359,0.00016863237,0.00003954799,0.000042724863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024805148,0.00019226695,0.00031457597,0.00014131308,0.00010542236,0.00006120933,0.00022534013,0.00006393739,0.0000067309206],"category_scores_gemma":[0.000014972841,0.00017043612,0.00003871188,0.0004034693,0.000257114,0.00012778462,0.000053889013,0.000085338834,0.000002659192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012027135,0.00005119197,0.00046503945,0.00057724497,0.00006489513,0.0000022150375,0.00018041294,0.042835865,0.94941354,0.00045722615,0.000114370916,0.0057177437],"study_design_scores_gemma":[0.0006361556,0.000032415937,0.0016194191,0.00020650364,0.000037208392,0.0000014121866,0.000035821606,0.0076331804,0.98954916,0.00002741949,0.00002360642,0.00019772552],"about_ca_topic_score_codex":0.000024632096,"about_ca_topic_score_gemma":0.000019979727,"teacher_disagreement_score":0.06350262,"about_ca_system_score_codex":0.00005475041,"about_ca_system_score_gemma":0.00006976829,"threshold_uncertainty_score":0.69501835},"labels":[],"label_agreement":null},{"id":"W4410286822","doi":"10.3390/app15105340","title":"Digital Health Technology for Stroke Rehabilitation in Canada: A Scoping Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Rehabilitation; Stroke (engine); Physical medicine and rehabilitation; Medicine; Physical therapy; Engineering; Mechanical engineering","score_opus":0.03576201140489873,"score_gpt":0.38200845818212475,"score_spread":0.34624644677722605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410286822","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005033216,0.9870799,0.000057480047,0.0028365015,0.00022162714,0.0066557447,0.00006107198,0.000028570043,0.003054068],"genre_scores_gemma":[0.00001863074,0.99564683,0.0021216206,0.00057147373,0.000028496424,0.0013209193,0.00004407263,0.000009178491,0.00023878636],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9978741,0.000033654793,0.000920862,0.0005391328,0.00029628392,0.0003360057],"domain_scores_gemma":[0.9973108,0.001994365,0.00033234523,0.00023774126,0.000051857212,0.00007289534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077662105,0.00021290476,0.0018799665,0.0006643979,0.00010177092,0.000020523186,0.00020680437,0.000109554174,0.000010086028],"category_scores_gemma":[0.001389021,0.00015671898,0.00021154876,0.0015711094,0.0002092993,0.000050236384,0.0000437213,0.00020200213,0.000003874723],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016460499,0.000013690388,0.00007261752,0.23825195,0.0000076052374,2.9072135e-7,0.000005170253,3.0669023e-7,3.6070013e-8,0.0006858957,0.0008711088,0.7600897],"study_design_scores_gemma":[0.00021312537,0.00019192959,0.000016493037,0.5931372,0.000067876565,0.0000065968743,0.00028475496,0.0000018476819,1.7217619e-7,0.00008707689,0.40584624,0.00014669521],"about_ca_topic_score_codex":0.0050345086,"about_ca_topic_score_gemma":0.08315756,"teacher_disagreement_score":0.759943,"about_ca_system_score_codex":0.0009268465,"about_ca_system_score_gemma":0.026658917,"threshold_uncertainty_score":0.978859},"labels":[],"label_agreement":null},{"id":"W4410298361","doi":"10.3390/app15105335","title":"Digital Health Technologies to Support At-Home Recovery of People with Stroke: A Scoping Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Internet privacy; Computer science","score_opus":0.034637163642086875,"score_gpt":0.3631360026689236,"score_spread":0.32849883902683674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410298361","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028964996,0.9805942,0.00006443643,0.00077202154,0.00014572691,0.0042176293,0.00008880476,0.00012752869,0.013960653],"genre_scores_gemma":[0.00005674554,0.99600714,0.0013194727,0.0003380504,0.000015850623,0.00041516745,0.000044765526,0.000014361799,0.0017884327],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99749917,0.000027874297,0.0008532659,0.0006524138,0.00059471437,0.00037255857],"domain_scores_gemma":[0.99822074,0.0006499167,0.0005128568,0.0004596804,0.000066147404,0.00009064817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006848011,0.00031261463,0.0025862413,0.0006319483,0.00013706886,0.00003745969,0.00037269265,0.00013705628,0.00005047182],"category_scores_gemma":[0.00034529698,0.00019052022,0.00032689376,0.002042644,0.0003587288,0.00008405933,0.00021462947,0.00020559123,0.00005389418],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009540818,0.000029642139,0.000053510314,0.2234952,0.000034021785,9.4423905e-7,0.000020483667,4.0156428e-7,4.5195506e-7,0.00008633901,0.0013653936,0.7749041],"study_design_scores_gemma":[0.0002040244,0.0015359856,0.000019446014,0.7126453,0.00024651608,0.00005633513,0.00031082964,1.3230581e-7,0.0000057769507,0.000020483118,0.28465652,0.00029863787],"about_ca_topic_score_codex":0.0000034549576,"about_ca_topic_score_gemma":0.000016119122,"teacher_disagreement_score":0.77460545,"about_ca_system_score_codex":0.00019220119,"about_ca_system_score_gemma":0.0036441046,"threshold_uncertainty_score":0.7769189},"labels":[],"label_agreement":null},{"id":"W4410298643","doi":"10.3390/app15105390","title":"Development of a Novel Biomechanical Framework for Quantifying Dynamic Risks in Motor Behaviors During Aircraft Maintenance","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Physical medicine and rehabilitation; Aeronautics; Engineering; Medicine","score_opus":0.052703965052457016,"score_gpt":0.38084690320670567,"score_spread":0.32814293815424866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410298643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9053577,0.000026469963,0.09339862,0.00029050055,0.00010784594,0.00067232724,0.0000020873222,0.00001961981,0.00012482073],"genre_scores_gemma":[0.75878805,0.0000024085907,0.24101526,0.000038605747,0.0000051570805,0.000117911775,0.0000015283199,0.0000034333104,0.000027651537],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99893534,0.000007118126,0.00034768647,0.00029277007,0.00019827372,0.00021880529],"domain_scores_gemma":[0.9995499,0.00019344434,0.000072005314,0.00011558719,0.00003268316,0.000036341095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007335669,0.00008628945,0.00020306536,0.00026261943,0.00012540996,0.000009100674,0.00012296175,0.000084413114,0.0000046740106],"category_scores_gemma":[0.0001987061,0.00006675236,0.00005537376,0.0006388305,0.00020215448,0.000029738723,0.000040104576,0.000101456535,0.0000011993686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000757127,0.00023924594,0.0048165317,0.00066572824,0.00000836878,2.0331578e-7,0.0005909024,0.000023169327,0.9637159,0.0241392,0.0000012082446,0.0057238466],"study_design_scores_gemma":[0.0026047202,0.00019769286,0.9154887,0.0021347564,0.000030156187,9.95134e-7,0.005605169,0.009913108,0.058718704,0.004955532,0.00007476549,0.00027565984],"about_ca_topic_score_codex":0.000017019363,"about_ca_topic_score_gemma":0.00005459877,"teacher_disagreement_score":0.9106722,"about_ca_system_score_codex":0.000080151294,"about_ca_system_score_gemma":0.0001689464,"threshold_uncertainty_score":0.27220824},"labels":[],"label_agreement":null},{"id":"W4410362669","doi":"10.3390/app15105492","title":"Shear Resistance Evolution of Geogrid Reinforced Expansive Soil Under Freeze–Thaw Cycles","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terrafix Geosynthetics (Canada)","funders":"National Natural Science Foundation of China","keywords":"Geogrid; Geotechnical engineering; Expansive clay; Materials science; Shear (geology); Geology; Composite material; Reinforcement; Soil water; Soil science","score_opus":0.005881312405815565,"score_gpt":0.20433927583271616,"score_spread":0.19845796342690059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410362669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56797266,0.0009643091,0.3503915,0.0002171918,0.00042667933,0.00027627256,0.000009423294,0.0006965525,0.079045385],"genre_scores_gemma":[0.9989787,0.000027874752,0.00075066887,0.000019641733,0.000014670152,0.000020355837,0.0000022416075,0.000005877167,0.00018001639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999236,0.000005598144,0.0002065866,0.00016445709,0.00019658283,0.00019078272],"domain_scores_gemma":[0.9996768,0.00006811193,0.00002528956,0.00016638383,0.00003407395,0.0000293332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020325332,0.00009566679,0.00013236699,0.0001226798,0.00009803912,0.000020969168,0.00020219487,0.000073745825,0.000009680028],"category_scores_gemma":[0.000031960575,0.000090770176,0.00003147197,0.00069905183,0.00018959072,0.00007681233,0.000027135311,0.00008382977,0.000005533745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029066107,0.0000026305015,0.00003567529,0.000048847214,0.0000051564075,6.781208e-8,0.000046402518,0.8612753,0.019079152,0.11896986,0.00029718762,0.0002368098],"study_design_scores_gemma":[0.0012092834,0.00010368274,0.04847193,0.0004742023,0.000068216046,0.0000013139108,0.004052909,0.6874152,0.19121504,0.06326604,0.00263209,0.0010901343],"about_ca_topic_score_codex":0.000063914435,"about_ca_topic_score_gemma":0.000059858212,"teacher_disagreement_score":0.43100598,"about_ca_system_score_codex":0.000050740604,"about_ca_system_score_gemma":0.00004008522,"threshold_uncertainty_score":0.37015003},"labels":[],"label_agreement":null},{"id":"W4410362772","doi":"10.3390/app15105493","title":"A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Artificial neural network; Quality (philosophy); Domain (mathematical analysis); Bond; Computer science; Artificial intelligence; Business; Mathematics","score_opus":0.021293026692194298,"score_gpt":0.30264736111355256,"score_spread":0.28135433442135827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410362772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6437922,0.00042517105,0.25515482,0.00024379855,0.0005216697,0.00031773013,0.0000034837724,0.00038941894,0.09915166],"genre_scores_gemma":[0.9565616,9.998865e-7,0.04313087,0.00016649593,0.000070494614,0.000036832993,0.000002862274,0.0000053419644,0.000024490588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991025,0.000042930355,0.00021941414,0.00026006423,0.00014931822,0.0002258002],"domain_scores_gemma":[0.99952066,0.0002813654,0.00004391236,0.0000951102,0.000011981681,0.00004695088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013774983,0.0001211994,0.00014317466,0.000096926386,0.00038388305,0.00011221783,0.00011133668,0.000044890003,0.0000035533126],"category_scores_gemma":[0.000029983366,0.000103747705,0.000018708319,0.00060652645,0.00009180949,0.000070264,0.000032624845,0.0001242143,0.0000017242452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017930744,0.000021544203,0.0042612758,0.00014482111,0.000010378024,5.8415674e-7,0.00059023546,0.94785845,0.0038842766,0.014918966,0.00079209654,0.02749943],"study_design_scores_gemma":[0.00027178554,0.00003163403,0.0019831993,0.000060766753,0.000008332725,3.4176188e-7,0.00036738376,0.9879531,0.00073374907,0.008221831,0.00024379323,0.00012404099],"about_ca_topic_score_codex":0.000008012383,"about_ca_topic_score_gemma":0.00003864064,"teacher_disagreement_score":0.31276938,"about_ca_system_score_codex":0.000035616464,"about_ca_system_score_gemma":0.000026936268,"threshold_uncertainty_score":0.42307085},"labels":[],"label_agreement":null},{"id":"W4410445063","doi":"10.3390/app15105566","title":"Assessing Driver Comfort and In-Chair Movements in an Automotive Seat with Anti-Fatigue Massage Function","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Massage; Physical medicine and rehabilitation; Aeronautics; Psychology; Medicine; Engineering; Physical therapy; Alternative medicine","score_opus":0.026494036691294943,"score_gpt":0.33596582065166924,"score_spread":0.3094717839603743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410445063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9172557,0.000029832669,0.00088527205,0.00008503296,0.00012352517,0.00021150101,8.316386e-7,0.000016685775,0.08139162],"genre_scores_gemma":[0.9991647,0.0000043988416,0.00023422576,0.0004212783,0.000005441067,0.000034235185,0.0000036056113,0.000004067376,0.00012803981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991546,0.000029720897,0.00013011534,0.0003766049,0.00009395189,0.00021497515],"domain_scores_gemma":[0.999777,0.000035243975,0.000043239444,0.00010537924,0.000010128005,0.000029004927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003350059,0.00009417343,0.00012391072,0.00021904193,0.00011813934,0.000088248154,0.000115121555,0.00004801363,0.000030728963],"category_scores_gemma":[0.0000024475135,0.00007837335,0.000010067038,0.00047129908,0.00026245925,0.00025367283,0.000038348448,0.00009600883,0.000002676985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039793686,0.00016364397,0.9539584,0.000013299468,0.00001587662,0.000003404995,0.001343274,0.00066373026,0.00129992,0.029263811,0.0000347006,0.013200169],"study_design_scores_gemma":[0.00067043345,0.000070493865,0.98807985,0.000024365554,0.0000034552618,1.6679115e-7,0.00804769,0.00066759804,0.000045742185,0.0022395444,0.000052246553,0.00009844462],"about_ca_topic_score_codex":0.00023973531,"about_ca_topic_score_gemma":0.0013150165,"teacher_disagreement_score":0.08190901,"about_ca_system_score_codex":0.000026399159,"about_ca_system_score_gemma":0.000042795542,"threshold_uncertainty_score":0.31959724},"labels":[],"label_agreement":null},{"id":"W4410446126","doi":"10.3390/app15105570","title":"Development and Experimental Study of a Seamless Morphing Trailing Edge Flap Equipped with an Elephant Trunk Actuation Mechanism","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Morphing; Mechanism (biology); Trailing edge; Computer science; Engineering; Structural engineering; Physics; Computer graphics (images)","score_opus":0.021021943090154198,"score_gpt":0.25531285506872403,"score_spread":0.23429091197856983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410446126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90523446,0.000020148918,0.09367833,0.000006110573,0.00004497321,0.00027651165,3.4180312e-7,0.000055109485,0.0006840182],"genre_scores_gemma":[0.9935882,5.1471324e-7,0.006315293,0.000016318547,0.000011067069,0.000058884434,0.0000010513694,0.0000042592455,0.0000043881846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993597,0.000008124204,0.00015843395,0.00017202653,0.00017552821,0.00012615997],"domain_scores_gemma":[0.9998362,0.000035137145,0.000028664004,0.000056355035,0.0000115456205,0.000032096832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022225143,0.000088907866,0.00012032686,0.00008814697,0.00021774686,0.000056510835,0.00010266908,0.000022609765,0.0000063044363],"category_scores_gemma":[0.000002872226,0.0000730035,0.000005322453,0.00019812021,0.00004674371,0.00017534777,0.000020672123,0.000043257936,5.556409e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006232052,0.00026759953,0.00009131003,0.000033207834,0.000050339095,0.0000010681774,0.026065843,0.025260787,0.9148739,0.02482403,0.0000019039826,0.008467697],"study_design_scores_gemma":[0.0012438901,0.00032205644,0.00056374597,0.000030126032,0.000018740968,7.993588e-7,0.04274132,0.14449683,0.8101892,0.0002088528,0.000014105444,0.0001703397],"about_ca_topic_score_codex":0.0000050534727,"about_ca_topic_score_gemma":0.000087215536,"teacher_disagreement_score":0.119236045,"about_ca_system_score_codex":0.000015679718,"about_ca_system_score_gemma":0.000046508278,"threshold_uncertainty_score":0.29769966},"labels":[],"label_agreement":null},{"id":"W4410539370","doi":"10.3390/app15105731","title":"Review of Automatic Estimation of Emotions in Speech","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Speech recognition; Perception; Identification (biology); Emotion recognition; Presentation (obstetrics); Natural language processing; Artificial intelligence; Psychology","score_opus":0.0422772744431513,"score_gpt":0.37766476602765175,"score_spread":0.33538749158450043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410539370","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3717443,0.002115523,0.003935449,0.0015208209,0.00035796227,0.00054801523,0.0000037534587,0.00003549607,0.61973864],"genre_scores_gemma":[0.99595976,0.00022929456,0.0032154324,0.0003881394,0.0000029935284,0.000018625742,0.0000033783747,0.0000010112698,0.00018136445],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994955,0.000032646632,0.00022090397,0.00010214113,0.00008394073,0.00006483937],"domain_scores_gemma":[0.9997224,0.00006601823,0.00009418616,0.00008617504,0.00002259718,0.000008590735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005556241,0.00003375625,0.0001135473,0.00016896073,0.000025011268,0.0000024933536,0.000094425726,0.000024812554,0.0003912219],"category_scores_gemma":[0.000049825176,0.000028911436,0.000020730917,0.0007692862,0.00013779628,0.000027417687,0.0000110247165,0.000032637625,0.000034262943],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033849371,0.0003151644,0.00053638365,0.003439976,0.000014098136,3.7234275e-7,0.0006324174,0.000065623666,0.0020633813,0.29303917,0.006756749,0.6931333],"study_design_scores_gemma":[0.0049125445,0.00065069884,0.54576474,0.06979914,0.0003551679,0.00003102918,0.009418937,0.020391706,0.04332332,0.299237,0.00511514,0.0010005365],"about_ca_topic_score_codex":0.000018876059,"about_ca_topic_score_gemma":0.000011472805,"teacher_disagreement_score":0.6921328,"about_ca_system_score_codex":0.000006472071,"about_ca_system_score_gemma":0.00003651482,"threshold_uncertainty_score":0.42836052},"labels":[],"label_agreement":null},{"id":"W4410543145","doi":"10.3390/app15105719","title":"Multi-Examiner: A Knowledge Graph-Driven System for Generating Comprehensive IT Questions with Higher-Order Thinking","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Computer science","score_opus":0.04335954140411993,"score_gpt":0.2961493662143147,"score_spread":0.25278982481019474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410543145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072321603,0.00029619026,0.9803655,0.00032431143,0.00089398085,0.00056245824,0.0000015066694,0.00031773845,0.010006114],"genre_scores_gemma":[0.6856617,0.0000017956706,0.31098512,0.0001888757,0.00011605451,0.00017847626,0.000001253099,0.000007795771,0.0028589393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825364,0.00006957521,0.0003044768,0.0006782408,0.00027842371,0.00041561996],"domain_scores_gemma":[0.99881864,0.00035488472,0.00016269313,0.0002943945,0.00031177484,0.000057590438],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000530742,0.00020985374,0.0002606671,0.00024933484,0.0015520756,0.0005172866,0.000978592,0.00006185547,0.0000013848818],"category_scores_gemma":[0.000018455747,0.00015755462,0.000055618486,0.0012219144,0.00018323223,0.00024636983,0.00020206007,0.00014847815,0.000014641558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027254455,0.00003209161,0.0002683583,0.00009100072,0.00003127256,0.0000017853415,0.0015442317,0.021781197,0.008921199,0.9655186,0.0001564125,0.0016511113],"study_design_scores_gemma":[0.002017336,0.0005180856,0.0021532988,0.0024335827,0.00008181173,0.000028190665,0.0119455755,0.84653723,0.009690118,0.001676866,0.12143935,0.0014785304],"about_ca_topic_score_codex":0.000080537255,"about_ca_topic_score_gemma":0.000055348006,"teacher_disagreement_score":0.96384174,"about_ca_system_score_codex":0.00007577014,"about_ca_system_score_gemma":0.00020428542,"threshold_uncertainty_score":0.99974775},"labels":[],"label_agreement":null},{"id":"W4410598691","doi":"10.3390/app15115808","title":"When Maritime Meets Aviation: The Safety of Seaplanes on the Water","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Lloyd's Register; Transport Canada; Lloyd's Register Foundation","keywords":"Aeronautics; Aviation; Aviation safety; Business; Engineering; Aerospace engineering","score_opus":0.00944535468434037,"score_gpt":0.21027365079369395,"score_spread":0.20082829610935357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410598691","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021947723,0.00006878146,0.0012307772,0.025852345,0.0003153973,0.0004032552,0.000011061321,0.00012291696,0.95004773],"genre_scores_gemma":[0.99824584,0.000011040169,0.00011235348,0.00065980735,0.000022142247,0.00001801813,0.0000042040892,0.0000024134079,0.0009241905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943423,0.000020126205,0.00013880237,0.00009459755,0.00019039227,0.00012182524],"domain_scores_gemma":[0.99957967,0.00023266397,0.0000125843935,0.00014837163,0.000014541444,0.000012157819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057493395,0.0000627775,0.00006998491,0.000030824256,0.00024672144,0.00003742366,0.00030392106,0.000028377197,0.0004896917],"category_scores_gemma":[0.000008975475,0.00002513892,0.000022987664,0.0001688684,0.00018377801,0.000031038613,0.000032237855,0.000077399935,0.000057521207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589328,0.000016153128,0.00036094285,0.0000372927,0.00003226545,3.4513272e-7,0.0012746475,0.008626047,0.0058115358,0.9507501,0.017121676,0.015950384],"study_design_scores_gemma":[0.0007426267,0.00005646651,0.016219458,0.000118927615,0.000048374466,0.0000033390957,0.0018009689,0.04692083,0.21543565,0.115965344,0.6021987,0.0004892938],"about_ca_topic_score_codex":0.000009423134,"about_ca_topic_score_gemma":0.000011282228,"teacher_disagreement_score":0.9762981,"about_ca_system_score_codex":0.000010246809,"about_ca_system_score_gemma":0.000012686534,"threshold_uncertainty_score":0.53617805},"labels":[],"label_agreement":null},{"id":"W4410598759","doi":"10.3390/app15115798","title":"An Integrated DEM–FEM Simulation Framework for Preferential Flow Path Evaluation in Waste Landfill Composed of Non-Spherical Particles","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Environment; Ministry of Environment - Saskatchewan; Environmental Restoration and Conservation Agency","keywords":"Discrete element method; Finite element method; Materials science; Geology; Geotechnical engineering; Environmental science; Engineering; Mechanics; Structural engineering; Physics","score_opus":0.02992438240325738,"score_gpt":0.32382303474749596,"score_spread":0.29389865234423856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410598759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91328484,0.000012622801,0.08437772,0.00006355159,0.00007540264,0.0006759948,0.000009766287,0.000015915477,0.0014841798],"genre_scores_gemma":[0.96852076,0.0000034744348,0.03126088,0.00008489947,0.00001296096,0.00009219537,0.000014233777,0.0000048116435,0.000005792438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865264,0.000060634182,0.0002781099,0.00034424508,0.0004152122,0.00024917873],"domain_scores_gemma":[0.99944425,0.00024799551,0.000097286334,0.00015608978,0.000008393028,0.00004597114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072554423,0.00012516453,0.00018744991,0.00003883999,0.00017496206,0.000032658038,0.00024264638,0.00006793783,0.0001784557],"category_scores_gemma":[0.00007889149,0.00009350415,0.000030711224,0.0005118183,0.00042409883,0.00019341357,0.00009368711,0.00007286643,0.000010681671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013683645,0.0002770745,0.07427336,0.000010847402,0.0000116709825,1.2237281e-7,0.00119809,0.7911333,0.089439586,0.00018618471,0.000061003495,0.04327196],"study_design_scores_gemma":[0.00070866605,0.00016189151,0.1053697,0.000029157518,0.000025121775,6.3093154e-8,0.0007614896,0.84401095,0.04188538,0.0068836566,0.000034420107,0.00012948016],"about_ca_topic_score_codex":0.00011009638,"about_ca_topic_score_gemma":0.00008840558,"teacher_disagreement_score":0.0552359,"about_ca_system_score_codex":0.00013046143,"about_ca_system_score_gemma":0.000022267768,"threshold_uncertainty_score":0.38129887},"labels":[],"label_agreement":null},{"id":"W4410640126","doi":"10.3390/app15115869","title":"Influence of Cutting Parameters and MQL on Surface Finish and Work Hardening of Inconel 617","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inconel; Materials science; Metallurgy; Case hardening; Surface roughness; Work hardening; Hardening (computing); Composite material; Hardness; Microstructure; Alloy","score_opus":0.0072252658829080815,"score_gpt":0.2299398172815465,"score_spread":0.2227145513986384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410640126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906587,0.00022372065,0.0067474404,0.000017270793,0.000020730575,0.000051275874,7.236635e-7,0.00002597568,0.0022541736],"genre_scores_gemma":[0.9733717,0.0000697146,0.026522016,0.000022815568,0.0000014565834,0.0000018539536,2.1751886e-7,0.0000026586029,0.0000075586213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996064,0.000002996198,0.00011931093,0.000116415256,0.00007260795,0.000082278835],"domain_scores_gemma":[0.99972147,0.00016132064,0.00004225343,0.000047665148,0.000012914302,0.00001436523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014170386,0.000055594966,0.00009950848,0.00004391527,0.0000670369,0.000017552671,0.000070902664,0.000022226119,4.197181e-7],"category_scores_gemma":[0.00004203029,0.000051228788,0.00000533094,0.0003033598,0.00016652382,0.00006974792,0.000029702675,0.000047643352,1.1667678e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005106665,0.000001909337,0.004659161,0.00006282655,0.0000033110502,4.2768622e-8,0.00032414636,0.9880473,0.0017172081,0.001319714,0.000003399198,0.003855874],"study_design_scores_gemma":[0.0017565681,0.00039143494,0.09147564,0.0024216084,0.00008935445,0.000002275614,0.0040888228,0.56269807,0.31768203,0.018058324,0.00027147878,0.0010643938],"about_ca_topic_score_codex":0.0000048681336,"about_ca_topic_score_gemma":0.0000010465216,"teacher_disagreement_score":0.42534924,"about_ca_system_score_codex":0.0000035704786,"about_ca_system_score_gemma":0.000010297987,"threshold_uncertainty_score":0.20890494},"labels":[],"label_agreement":null},{"id":"W4410824364","doi":"10.3390/app15115978","title":"Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad de La Laguna; Université Mohammed V de Rabat","keywords":"Medicine; Medical physics; Wrist; Artificial intelligence; Computer science; Radiology","score_opus":0.14702496768904083,"score_gpt":0.38358701279672475,"score_spread":0.23656204510768392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410824364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.2575573e-7,0.98729825,0.0014784788,0.00085215835,0.0008732818,0.00413683,0.0004511565,0.00026061607,0.0046488014],"genre_scores_gemma":[0.00032162212,0.99390435,0.0015776859,0.0009750398,0.00017492603,0.0023258063,0.00027954028,0.000018411758,0.0004225951],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.996829,0.00020665515,0.0014280889,0.00077485025,0.00029369682,0.00046771893],"domain_scores_gemma":[0.99742794,0.0013195643,0.00072724547,0.00037623505,0.00010019441,0.00004884952],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001107606,0.0005426273,0.0033086042,0.00024540492,0.001253425,0.0001580573,0.0007469518,0.00018523479,0.00018233976],"category_scores_gemma":[0.000084416395,0.00033440758,0.00050707767,0.00019296128,0.014107215,0.000077645025,0.00020145685,0.00023484003,0.00004852654],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005534734,0.000066121065,3.4178864e-8,0.49377283,0.00027176423,0.000010005245,0.0006285421,0.0000019235836,3.908773e-8,0.48362902,0.0015243841,0.020089818],"study_design_scores_gemma":[0.00010480254,0.0004447108,3.519061e-8,0.8704924,0.008620314,0.00000607827,0.010856658,0.002640424,0.000002221949,0.037035223,0.06850831,0.0012888472],"about_ca_topic_score_codex":0.00029739027,"about_ca_topic_score_gemma":0.002418049,"teacher_disagreement_score":0.4465938,"about_ca_system_score_codex":0.000073279305,"about_ca_system_score_gemma":0.0005557452,"threshold_uncertainty_score":0.9999108},"labels":[],"label_agreement":null},{"id":"W4410895649","doi":"10.3390/app15116165","title":"Risk Assessment of Heavy Rain Disasters Using an Interpretable Random Forest Algorithm Enhanced by MAML","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Guangdong Provincial Applied Science and Technology Research and Development Program","keywords":"Random forest; Algorithm; Computer science; Environmental science; Remote sensing; Artificial intelligence; Geography","score_opus":0.007130726947454085,"score_gpt":0.27944926985143853,"score_spread":0.27231854290398444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410895649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48016328,0.000017124972,0.46938053,0.000058950325,0.00017206643,0.00042320232,0.000008717934,0.000025048506,0.04975108],"genre_scores_gemma":[0.94091505,0.00002965369,0.05838136,0.0001472088,0.000010052929,0.000045194796,0.000006330251,0.0000056554527,0.0004595146],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825877,0.000076850505,0.00031010897,0.00051413756,0.0004804513,0.00035965696],"domain_scores_gemma":[0.99939877,0.00008202123,0.00017654464,0.00026504736,0.000006168702,0.00007146274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010842608,0.00016939669,0.00024444747,0.0000809706,0.00036751077,0.00010627468,0.00057777774,0.000039878414,0.00025450366],"category_scores_gemma":[0.000008718543,0.00013717229,0.00005300619,0.000607612,0.00066321495,0.00039843252,0.00035233318,0.000097710385,0.000011895806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019468281,0.0018368145,0.094883054,0.00008333904,0.00022146705,0.0000023209484,0.0024440682,0.23396719,0.36048755,0.010090312,0.011040591,0.2847486],"study_design_scores_gemma":[0.0041168076,0.0004951558,0.021863695,0.00009197011,0.00022004922,5.3764467e-7,0.006537187,0.85766625,0.091462985,0.013218372,0.0034772698,0.00084972766],"about_ca_topic_score_codex":0.0009922388,"about_ca_topic_score_gemma":0.000260203,"teacher_disagreement_score":0.62369907,"about_ca_system_score_codex":0.000119152915,"about_ca_system_score_gemma":0.00003192458,"threshold_uncertainty_score":0.55937237},"labels":[],"label_agreement":null},{"id":"W4410951388","doi":"10.3390/app15116229","title":"A Study of the Thermodynamic Properties of Nd-C and Ce-C TRISO Fission Product Binary Systems","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Ontario Tech University","funders":"Ministero dello Sviluppo Economico; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nuclear fission product; Materials science; Nuclear engineering; Fission products; Engineering","score_opus":0.029249467668261534,"score_gpt":0.23926380862985305,"score_spread":0.21001434096159152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410951388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581075,0.000783221,8.3741736e-7,0.00012374288,0.00039344747,0.0006855614,0.0000029011665,0.000018811095,0.0021807484],"genre_scores_gemma":[0.99968815,0.00001104766,0.000033536002,0.000013139225,0.0000136824365,0.000032065294,5.2486666e-8,0.000003869045,0.00020444978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895066,0.00012187946,0.00027356116,0.0002583335,0.00026447012,0.0001311143],"domain_scores_gemma":[0.99953586,0.000023455794,0.00014531816,0.00024428003,0.000037485064,0.00001361835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086757616,0.00009050001,0.00021400391,0.000057477988,0.00027616898,0.000077456745,0.00042474756,0.000022057457,0.000015917542],"category_scores_gemma":[0.000028245926,0.000042234595,0.000015285075,0.00028599065,0.00059453305,0.00008266428,0.00024090828,0.00003263597,0.0000023375367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005255823,0.00009124376,0.0005537393,0.00013708738,0.000003850815,9.7537296e-8,0.0018732032,0.00008684687,0.9955087,0.001370754,0.000046810503,0.00027512497],"study_design_scores_gemma":[0.00035643714,0.0003105593,0.0135513805,0.00026329682,0.000027918715,0.000001759939,0.0129684955,0.0003752219,0.97141755,0.0004847269,0.000118802745,0.00012388175],"about_ca_topic_score_codex":0.00032063184,"about_ca_topic_score_gemma":0.000011921381,"teacher_disagreement_score":0.024091164,"about_ca_system_score_codex":0.0000070086617,"about_ca_system_score_gemma":0.00009199561,"threshold_uncertainty_score":0.21905819},"labels":[],"label_agreement":null},{"id":"W4410952136","doi":"10.3390/app15116248","title":"Study on Dynamic Evolution of the Landslide–Anchorage Structure System Under Earthquake with the Combined Finite–Discrete Element Method","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Geology; Finite element method; Landslide; Seismology; Discrete element method; Geotechnical engineering; Structural engineering; Engineering; Mechanics; Physics","score_opus":0.0057434332965378716,"score_gpt":0.23998900477232482,"score_spread":0.23424557147578695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410952136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776586,0.000019793333,0.0057623545,0.0007334814,0.00014465088,0.0008186963,0.00000862797,0.00002519519,0.014828545],"genre_scores_gemma":[0.99924165,8.782749e-7,0.0002701012,0.0001221365,0.0000061518917,0.000024761295,8.792234e-7,0.000004337601,0.0003291177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99854946,0.00013610469,0.00018423164,0.0003298053,0.000583897,0.0002164733],"domain_scores_gemma":[0.9993322,0.00015088968,0.00013077655,0.00035268368,0.000007637462,0.00002582892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007663656,0.0001348594,0.0001511789,0.00003612083,0.00062010955,0.000049792776,0.00058138586,0.000047474885,0.0000528283],"category_scores_gemma":[0.0000059229087,0.000052166724,0.00003845222,0.0009018457,0.00037811347,0.000042446867,0.00018856364,0.00017625596,0.000009614727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044823607,0.00039927004,0.15099445,0.000067396155,0.00033017783,0.000006261613,0.0072014676,0.7250442,0.01323379,0.09287785,0.0011900199,0.00820692],"study_design_scores_gemma":[0.0023313833,0.0010962788,0.92474794,0.00013365029,0.0002362735,0.0000053524295,0.04269966,0.020789051,0.0023956627,0.0040873387,0.0010802731,0.00039715692],"about_ca_topic_score_codex":0.00011810069,"about_ca_topic_score_gemma":0.00054033945,"teacher_disagreement_score":0.77375346,"about_ca_system_score_codex":0.00012976691,"about_ca_system_score_gemma":0.000040658484,"threshold_uncertainty_score":0.47694442},"labels":[],"label_agreement":null},{"id":"W4410952353","doi":"10.3390/app15116191","title":"Exercise Suppresses Appetite in Obesity: A Biochemical, Metabolic, and Molecular Approach","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Appetite; Medicine; Obesity; Endocrinology; Internal medicine","score_opus":0.011489176994063299,"score_gpt":0.26997952236577843,"score_spread":0.2584903453717151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410952353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92453897,0.023578199,0.0003899817,0.0005820586,0.000046185793,0.00046355175,0.0000014601587,0.000041927407,0.05035767],"genre_scores_gemma":[0.9910961,0.00091520825,0.0067581856,0.0007619633,0.000022975819,0.00006542363,0.0000040692566,0.000005483908,0.00037061563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894714,0.000011655149,0.00016350766,0.00040622946,0.00020974473,0.0002616915],"domain_scores_gemma":[0.9996475,0.000029120292,0.000028476614,0.00019049484,0.000018563902,0.0000858557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875565,0.0001258544,0.00033282576,0.0002431214,0.0000819331,0.000039361275,0.00015255238,0.00007158713,0.000014370033],"category_scores_gemma":[0.000032477426,0.000099433215,0.00002932754,0.0008344333,0.00044285442,0.000054942368,0.00010442217,0.00011574328,0.0000085662805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010371265,0.0005420876,0.0071644112,0.00036311787,0.00005718361,0.000029340918,0.0009758439,0.000013792172,0.72710246,0.23707768,0.0024136405,0.02415672],"study_design_scores_gemma":[0.0019935248,0.000038054273,0.021747915,0.00031903517,0.00031549574,0.000021041618,0.0012940452,0.0002993923,0.9191529,0.0076251603,0.046826698,0.0003666948],"about_ca_topic_score_codex":0.000038501294,"about_ca_topic_score_gemma":0.0000014678413,"teacher_disagreement_score":0.22945252,"about_ca_system_score_codex":0.0000050520393,"about_ca_system_score_gemma":0.000093103474,"threshold_uncertainty_score":0.4054769},"labels":[],"label_agreement":null},{"id":"W4410953130","doi":"10.3390/app15116186","title":"Establishing a Geological Knowledge Base for Braided River Deltas Using Google Earth","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Delta; River delta; Geology; Sediment; Hydrology (agriculture); Facies; Geomorphology; Geotechnical engineering","score_opus":0.05024313815297012,"score_gpt":0.2759998936167256,"score_spread":0.22575675546375548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410953130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8780089,0.00062521274,0.015850512,0.0003357097,0.00027408477,0.00035182617,0.00003481641,0.00008193813,0.10443701],"genre_scores_gemma":[0.9730623,0.000009918543,0.026007043,0.0005417966,0.000047645193,0.0000061767746,0.000023881525,9.067651e-7,0.00030034364],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988496,0.000029702102,0.00021147884,0.00033666004,0.00014889224,0.000423717],"domain_scores_gemma":[0.99898225,0.00071233005,0.000060406895,0.00010193129,0.000058504666,0.000084553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008425164,0.00012030611,0.00016116376,0.00013447597,0.00096359226,0.00022517033,0.00041219662,0.00007685963,0.0007108771],"category_scores_gemma":[0.00023053355,0.00008132994,0.00004649719,0.0009033293,0.0005125917,0.00039037535,0.000037871494,0.00008969123,0.00007902226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020647292,0.00023118228,0.36862376,0.00031777064,0.000059970283,0.0000064246656,0.0020691447,0.12480174,0.0011263908,0.2158959,0.004915149,0.2817461],"study_design_scores_gemma":[0.0012224487,0.00043298697,0.17755306,0.000080482336,0.000077643796,0.000015651833,0.0023934236,0.51777947,0.0028385783,0.22480321,0.07194683,0.0008562214],"about_ca_topic_score_codex":0.0003019849,"about_ca_topic_score_gemma":0.00067647477,"teacher_disagreement_score":0.3929777,"about_ca_system_score_codex":0.000002836748,"about_ca_system_score_gemma":0.0001729997,"threshold_uncertainty_score":0.7783606},"labels":[],"label_agreement":null},{"id":"W4411077763","doi":"10.3390/app15126385","title":"A Study of the Influence of Sodium Alginate Molecular Weight and Its Crosslinking on the Properties of Potato Peel Waste-Based Films","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sodium alginate; Chemistry; Materials science; Chemical engineering; Food science; Sodium; Organic chemistry; Engineering","score_opus":0.015266381213171512,"score_gpt":0.24111714665629588,"score_spread":0.22585076544312438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411077763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980698,0.00012759933,0.000011035599,0.00026882856,0.00007369332,0.0007365406,0.000005290586,0.000012650511,0.00069455476],"genre_scores_gemma":[0.99966127,7.333762e-7,0.00014078217,0.0001317213,0.0000026901967,0.000042374577,8.555843e-8,0.000004701114,0.000015645612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984567,0.00009452745,0.00034841156,0.00030928772,0.00057809753,0.00021294689],"domain_scores_gemma":[0.99909246,0.00014486852,0.000287442,0.0003464257,0.00010872538,0.000020093015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009734808,0.00013355982,0.00023031965,0.00010928655,0.00033985457,0.00006116842,0.00094330875,0.00002865584,0.0000052019464],"category_scores_gemma":[0.000068481626,0.000068475565,0.00003708985,0.00075499655,0.0009167573,0.0000842116,0.00027738154,0.000083485196,0.000001289078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038563518,0.000098156655,0.0014137219,0.00007502543,0.000007642656,4.054639e-7,0.0018609016,0.0051440764,0.9842981,0.007038672,0.000004316214,0.000020410978],"study_design_scores_gemma":[0.0003121361,0.00015082088,0.0021386822,0.0002376345,0.000021580488,4.0942948e-7,0.002052536,0.00054297165,0.99410486,0.00036093497,0.0000031573065,0.00007426827],"about_ca_topic_score_codex":0.000070455935,"about_ca_topic_score_gemma":0.000008562543,"teacher_disagreement_score":0.0098067615,"about_ca_system_score_codex":0.00000793776,"about_ca_system_score_gemma":0.00013844961,"threshold_uncertainty_score":0.33778304},"labels":[],"label_agreement":null},{"id":"W4411152749","doi":"10.3390/app15126418","title":"A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Particle (ecology); Environmental science; Geology","score_opus":0.009394580313235668,"score_gpt":0.23300975032362348,"score_spread":0.2236151700103878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411152749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99083287,0.00011638613,0.0074780285,0.00005564676,0.00009455691,0.00047620767,0.00006012779,0.00021025553,0.0006759352],"genre_scores_gemma":[0.99588764,0.00001052638,0.0037192802,0.000015378328,0.000034536373,0.0002413098,0.000037888887,0.000010558708,0.000042884803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901116,0.000020710128,0.00019208832,0.0003144547,0.00013641806,0.000325174],"domain_scores_gemma":[0.99964625,0.00017310692,0.000028084378,0.00008580944,0.000016426553,0.000050354538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040751215,0.00014891455,0.00016777558,0.000092625894,0.00047567423,0.00016312095,0.00015256392,0.00009107838,0.0000039673887],"category_scores_gemma":[0.000068091,0.00013832857,0.00002237748,0.0004201674,0.00015143739,0.0001087358,0.00006146784,0.00032344702,7.3600586e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001992824,0.00009302407,0.02864335,0.00019356556,0.000035860983,0.0000033978135,0.002537689,0.08610455,0.8646613,0.014866463,0.00029868365,0.0025422391],"study_design_scores_gemma":[0.000703417,0.00004763921,0.017144019,0.000086917404,0.00003078064,0.0000022773559,0.000798848,0.05154833,0.9282566,0.00014478943,0.00090680446,0.00032961156],"about_ca_topic_score_codex":0.00003815663,"about_ca_topic_score_gemma":0.00010310157,"teacher_disagreement_score":0.06359532,"about_ca_system_score_codex":0.00006269121,"about_ca_system_score_gemma":0.000033646407,"threshold_uncertainty_score":0.56408757},"labels":[],"label_agreement":null},{"id":"W4411152943","doi":"10.3390/app15126461","title":"Healing Ability of Endodontic Filling Materials in Retrograde Treatment: A Systematic Review of Clinical Studies","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dentistry","score_opus":0.22846226656097846,"score_gpt":0.49809283757243517,"score_spread":0.2696305710114567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411152943","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044050653,0.9952847,0.000002573554,0.0000065312543,0.00053834205,0.00293626,0.00013755387,0.000015116577,0.0006384164],"genre_scores_gemma":[0.001959371,0.9969011,0.00049859734,0.000014562011,0.000037111386,0.00044954979,0.000025226014,0.000013037605,0.00010143568],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9933408,0.0007740196,0.004325727,0.0007050403,0.0005342023,0.00032024903],"domain_scores_gemma":[0.99363065,0.003159944,0.0024105327,0.00065199536,0.0000899728,0.00005691329],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004809659,0.0004295928,0.008099926,0.0002780314,0.000086152744,0.000028012111,0.0006022652,0.0001900991,0.000019244053],"category_scores_gemma":[0.0016497717,0.00025473553,0.0007887434,0.0011003285,0.00045765474,0.000040099632,0.00014354012,0.00013830162,0.000010662681],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003074468,0.00016475566,0.000079649406,0.9880095,0.00050538743,0.000013431065,0.000030832623,4.2919177e-7,0.0000017065624,0.0007696286,0.000013262375,0.010408306],"study_design_scores_gemma":[0.00031144262,0.00012806873,0.000013256501,0.99406946,0.0037367668,0.000008126578,0.00010068529,0.0000010559385,0.000040102284,0.0001767675,0.0012090896,0.00020519756],"about_ca_topic_score_codex":0.00008130451,"about_ca_topic_score_gemma":0.00006075803,"teacher_disagreement_score":0.010203108,"about_ca_system_score_codex":0.00015868548,"about_ca_system_score_gemma":0.00047395343,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W4411184681","doi":"10.3390/app15126520","title":"Rugby Sevens sRPE Workload Imputation Using Objective Models of Measurement","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sport Centre Pacific; University of Victoria","funders":"Mitacs","keywords":"Imputation (statistics); Computer science; Statistics; Mathematics; Missing data","score_opus":0.07846359737633005,"score_gpt":0.32392502899294984,"score_spread":0.2454614316166198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411184681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9418567,0.00020159972,0.006355606,0.000082605584,0.00009562487,0.00021542035,3.75073e-7,0.000023320137,0.051168744],"genre_scores_gemma":[0.99573624,0.0000096101585,0.0040110373,0.00018097175,0.000024416377,0.0000082238785,6.291668e-7,0.0000025397421,0.000026355778],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990959,0.0000025887628,0.00017398181,0.00017960813,0.00039626125,0.0001516252],"domain_scores_gemma":[0.9997142,0.000012008693,0.00007041712,0.00008394396,0.000093009876,0.00002640197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058708846,0.00006695554,0.00014765818,0.00015344936,0.00013536986,0.00001098552,0.00006242335,0.000030319237,0.000007926118],"category_scores_gemma":[0.000007825456,0.00005355632,0.000029905756,0.0005967929,0.0001671119,0.00009656946,0.00001908289,0.0000602777,0.0000017107062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006998065,0.0006734948,0.16693743,0.0005534872,0.00047463726,0.000016397138,0.026965551,0.21182403,0.21967939,0.080384694,0.00029411048,0.291497],"study_design_scores_gemma":[0.005021032,0.00058631884,0.23441868,0.0025623825,0.00063557934,0.000029170855,0.03633193,0.4096739,0.24461707,0.06516689,0.00022478365,0.0007322493],"about_ca_topic_score_codex":0.000037087808,"about_ca_topic_score_gemma":0.000007451282,"teacher_disagreement_score":0.29076475,"about_ca_system_score_codex":0.000055670527,"about_ca_system_score_gemma":0.0003398093,"threshold_uncertainty_score":0.21839634},"labels":[],"label_agreement":null},{"id":"W4411235691","doi":"10.3390/app15126627","title":"Comparison of Dimensionality Reduction Approaches and Logistic Regression for ECG Classification","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"New Brunswick Innovation Foundation","keywords":"Logistic regression; Dimensionality reduction; Computer science; Artificial intelligence; Pattern recognition (psychology); Machine learning","score_opus":0.29436297087681657,"score_gpt":0.438381593532803,"score_spread":0.14401862265598642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411235691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98686445,0.00033948777,0.0066792173,0.0012042352,0.00010081963,0.00020090198,0.0000010639656,0.000020421874,0.004589425],"genre_scores_gemma":[0.9898445,0.00000822048,0.00982815,0.000007738904,0.000029632303,0.000019197578,0.000006371937,0.0000011552354,0.00025502307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994618,0.000009991102,0.00014928913,0.00018910915,0.00012454753,0.00006524773],"domain_scores_gemma":[0.99969417,0.00008334415,0.00008011381,0.00008794157,0.00003346764,0.00002098132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038487595,0.000044176362,0.0001534298,0.00007922563,0.00017520745,0.000009117699,0.00003808725,0.00003392817,0.0000010552135],"category_scores_gemma":[0.000051933574,0.000030207804,0.00002290751,0.00025977415,0.00030083515,0.000019650979,0.000013943186,0.000037040576,3.1457802e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023420002,0.00046161748,0.23059666,0.0005161928,0.000073901196,9.511838e-8,0.0005347253,0.00027621508,0.46658072,0.09838613,0.0011691605,0.20117037],"study_design_scores_gemma":[0.0013873724,0.00038859682,0.33119115,0.0005217422,0.0006608025,0.0000033450667,0.017250083,0.23422548,0.390382,0.022680685,0.0010480224,0.0002607091],"about_ca_topic_score_codex":0.000008993523,"about_ca_topic_score_gemma":6.555423e-7,"teacher_disagreement_score":0.23394927,"about_ca_system_score_codex":0.000012378064,"about_ca_system_score_gemma":0.00003852698,"threshold_uncertainty_score":0.13475718},"labels":[],"label_agreement":null},{"id":"W4411242436","doi":"10.3390/app15126624","title":"The Effects of Six Months of Exercise on Single- and Dual-Task Posture, Gait, and Functional Mobility Relative to Usual Care Alone Among People Living with Dementia: The ENABLED Pilot Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical medicine and rehabilitation; Medicine; Physical therapy; Gait; Dementia; Randomized controlled trial; Internal medicine; Disease","score_opus":0.005844815656351133,"score_gpt":0.2317974469044734,"score_spread":0.22595263124812226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411242436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989721,0.0014453178,0.00012604341,0.0002637962,0.00020962468,0.0060839653,0.0000019218592,0.000009580841,0.002138762],"genre_scores_gemma":[0.99905676,0.00005502361,0.000115243936,0.000052138592,0.000021972037,0.00055094395,9.0636706e-7,0.00000349974,0.00014351292],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.998649,0.00020881534,0.00034309144,0.0002662537,0.0003942087,0.00013863824],"domain_scores_gemma":[0.9863095,0.013189325,0.00018388116,0.00013774146,0.00013089454,0.000048611455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014414215,0.00012498407,0.00071487733,0.000105472056,0.0003342262,0.00003128646,0.000056126715,0.000038309616,0.0000039352753],"category_scores_gemma":[0.0017903063,0.000052889478,0.000089133064,0.00033971673,0.0010343728,0.00004864106,0.00004608359,0.000099705656,1.9343604e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9584099,0.0004494348,0.018175557,0.00030711055,0.00050637504,4.3902187e-7,0.0056562386,0.00011493005,0.012877499,0.0026528765,0.00009378848,0.00075582054],"study_design_scores_gemma":[0.7123594,0.0039339326,0.26817733,0.00068442815,0.00093600666,8.6587306e-7,0.010540649,0.00014164437,0.0027186035,0.00038832487,0.000006966453,0.000111803914],"about_ca_topic_score_codex":0.000079664154,"about_ca_topic_score_gemma":0.00011400464,"teacher_disagreement_score":0.2500018,"about_ca_system_score_codex":0.000019777988,"about_ca_system_score_gemma":0.00012841648,"threshold_uncertainty_score":0.38111898},"labels":[],"label_agreement":null},{"id":"W4411415452","doi":"10.3390/app15126880","title":"Slower Ageing of Cross-Frequency Coupling Mechanisms Across Resting-State Networks Is Associated with Better Cognitive Performance in the Picture Priming Task","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Fraser Health; Simon Fraser University; Royal Columbian Hospital","funders":"Simon Fraser University; Alliance de recherche numérique du Canada; AGE-WELL","keywords":"Magnetoencephalography; Cognition; Resting state fMRI; Baseline (sea); Psychology; Brain activity and meditation; Task (project management); Trait; Cognitive decline; Cognitive psychology; Computer science; Neuroscience; Medicine; Electroencephalography; Biology; Disease; Engineering","score_opus":0.02840431792381625,"score_gpt":0.290623145639634,"score_spread":0.2622188277158177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411415452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98955464,0.000031614996,0.0046555204,0.0005609999,0.00016283973,0.000409091,0.000012007051,0.000043738775,0.0045695673],"genre_scores_gemma":[0.9938374,0.000008143638,0.0001784161,0.005819861,0.00001899532,0.00007350513,9.916298e-7,0.000008230769,0.000054459157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978836,0.0000570114,0.00028875738,0.00064839213,0.00060715916,0.0005150627],"domain_scores_gemma":[0.99375045,0.0057229875,0.00023239067,0.00016852235,0.00010503575,0.000020587931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017568175,0.00019452623,0.00023367141,0.00009910863,0.0012814148,0.0002014913,0.0005352724,0.00006431778,0.0000042169913],"category_scores_gemma":[0.002251478,0.00012860977,0.000035363493,0.0017991199,0.0012299275,0.00029853004,0.00021811726,0.0003729256,0.000001948499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068712066,0.00062179705,0.40023878,0.00031299872,0.00018126969,0.0001819128,0.05753961,0.20347139,0.29784277,0.029644985,0.00028634074,0.0089910235],"study_design_scores_gemma":[0.0036410857,0.0008341615,0.56285214,0.002227353,0.00009270314,0.000022262566,0.015540408,0.09427247,0.28112936,0.037937306,0.00005627829,0.0013944639],"about_ca_topic_score_codex":0.000019101015,"about_ca_topic_score_gemma":0.00008840929,"teacher_disagreement_score":0.16261333,"about_ca_system_score_codex":0.00004964985,"about_ca_system_score_gemma":0.000097928416,"threshold_uncertainty_score":0.98557353},"labels":[],"label_agreement":null},{"id":"W4411456604","doi":"10.3390/app15126900","title":"Evaluating the Role of Canada Goose Populations in Transmission Dynamics During Peak HPAI Incidence in Iowa, February 2022–December 2023","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Goose; Influenza A virus subtype H5N1; Branta; Waterfowl; Biosecurity; Geography; Abundance (ecology); Population; Transmission (telecommunications); Biology; Fishery; Zoology; Veterinary medicine; Ecology; Environmental health; Habitat; Medicine; Engineering; Telecommunications; Virology","score_opus":0.04069667126920271,"score_gpt":0.30495500171629325,"score_spread":0.2642583304470905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411456604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865443,0.0003305001,0.000005598296,0.0018956556,0.000041568073,0.00021354294,0.0000044780695,0.000007511349,0.010956838],"genre_scores_gemma":[0.99948186,0.000021585494,0.00007763086,0.00017250756,0.000014681911,0.000027877944,0.00000839436,3.240762e-7,0.00019516394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883676,0.00010144301,0.00029341408,0.00026818892,0.00023301858,0.00026718195],"domain_scores_gemma":[0.99953693,0.0002940613,0.00007719071,0.0000451277,0.000014330134,0.000032337437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010280767,0.00008469715,0.00014075212,0.00003440128,0.0003171141,0.000018030616,0.00038861617,0.00003740732,0.00009652322],"category_scores_gemma":[0.000090621885,0.000033400298,0.000028215129,0.0011558649,0.00012976005,0.0000701013,0.000110906025,0.000101184734,0.0000013830021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000857235,0.00007705292,0.77474695,0.000025139501,0.000006092655,0.0000029515907,0.00017273838,0.012925586,0.08946737,0.045823094,0.00031401502,0.0763533],"study_design_scores_gemma":[0.00005864901,0.000022160582,0.9447925,0.000029600056,0.000004114953,1.3651128e-7,0.0020206205,0.039880197,0.00011485711,0.012957173,0.00005182707,0.00006818207],"about_ca_topic_score_codex":0.23878539,"about_ca_topic_score_gemma":0.8501047,"teacher_disagreement_score":0.6113193,"about_ca_system_score_codex":0.00007181762,"about_ca_system_score_gemma":0.00007952225,"threshold_uncertainty_score":0.76628363},"labels":[],"label_agreement":null},{"id":"W4411492823","doi":"10.3390/app15136973","title":"Resilience Investment Against Extreme Weather Events Considering Critical Load Points in an Active Microgrid","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Resilience (materials science); Extreme weather; Reliability engineering; Microgrid; Computer science; Criticality; Vulnerability (computing); Critical infrastructure; Risk analysis (engineering); Investment (military); Business; Environmental resource management; Engineering; Environmental science; Computer security; Climate change","score_opus":0.021142815900094456,"score_gpt":0.2754720823881536,"score_spread":0.25432926648805915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411492823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718483,0.0001701428,0.0013375125,0.00017963555,0.00025458925,0.00020987788,0.000009922837,0.00012306143,0.025866939],"genre_scores_gemma":[0.9967121,0.0000123379,0.0029026882,0.0003016908,0.000013584703,0.00003833922,0.0000031478044,0.0000061728247,0.00000996498],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988342,0.00002181353,0.00019830452,0.00033475086,0.0002470356,0.00036393147],"domain_scores_gemma":[0.9996403,0.000084311614,0.000014548423,0.00016094105,0.000027063037,0.00007286962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033386436,0.00013628196,0.0001364812,0.00011355713,0.000113988535,0.000060794995,0.00026374662,0.000048385016,0.000019414305],"category_scores_gemma":[0.00007250518,0.00013694419,0.000020694984,0.0005121321,0.0003186733,0.00027642617,0.000063739484,0.00013635564,0.000036600886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008781791,0.00048097814,0.02098681,0.00015818894,0.00004296632,0.000046952264,0.0024418691,0.042966887,0.82406,0.07770307,0.001516459,0.029507942],"study_design_scores_gemma":[0.0022517461,0.00026336528,0.08972155,0.0006705086,0.000044043853,0.000010498466,0.007850828,0.11029532,0.736236,0.046943773,0.003915684,0.0017966905],"about_ca_topic_score_codex":0.000010794082,"about_ca_topic_score_gemma":0.00007893271,"teacher_disagreement_score":0.08782406,"about_ca_system_score_codex":0.0002513134,"about_ca_system_score_gemma":0.000100626145,"threshold_uncertainty_score":0.5584422},"labels":[],"label_agreement":null},{"id":"W4411499422","doi":"10.3390/app15136950","title":"Empirical Study on Failure Prediction of Rotating Biological Contactors Available for Landfill Site Operators: Scoring Analysis Based on 17-Year Daily Inspection Reports","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Environment - Saskatchewan","keywords":"Contactor; Sensitivity (control systems); Noise (video); Current (fluid); Reliability engineering; Computer science; Environmental science; Engineering; Artificial intelligence","score_opus":0.03260365515852866,"score_gpt":0.2929731776362479,"score_spread":0.2603695224777193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411499422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97754425,0.000001489066,0.0032411208,0.00006648039,0.00006040882,0.0006797255,0.000004905685,0.00014057009,0.01826105],"genre_scores_gemma":[0.9975365,9.174692e-7,0.0020821805,0.000104498366,0.000016647013,0.00011525404,0.000008849967,0.00000333239,0.00013183359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853486,0.000048966234,0.0003151756,0.00058565056,0.00033806925,0.00017729877],"domain_scores_gemma":[0.9994316,0.00015298316,0.00014824212,0.00022452004,0.000010687472,0.00003195735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012819275,0.00011881826,0.00021296884,0.00023786303,0.00035175748,0.00006954287,0.00015891,0.00005377956,0.00007128168],"category_scores_gemma":[0.00008144076,0.00008579796,0.00006880312,0.0013233538,0.00014606994,0.00008451697,0.0000696811,0.00008479537,0.0000076127826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040759005,0.0001900701,0.9757043,0.00000376118,0.000026460373,7.8731034e-7,0.00011991207,0.01755039,0.0042849723,0.000053974494,0.001694382,0.00033024274],"study_design_scores_gemma":[0.00071676396,0.002628,0.9035483,0.00007344841,0.00022410623,2.7019175e-7,0.0028119413,0.062226705,0.025518421,0.0003292256,0.0016010307,0.0003217829],"about_ca_topic_score_codex":0.000114632436,"about_ca_topic_score_gemma":0.00005772227,"teacher_disagreement_score":0.07215599,"about_ca_system_score_codex":0.00006638942,"about_ca_system_score_gemma":0.0000114164895,"threshold_uncertainty_score":0.34987393},"labels":[],"label_agreement":null},{"id":"W4411606285","doi":"10.3390/app15137089","title":"Correction: Amiri et al. Numerical Evaluation of the Transient Performance of Rock-Pile Seasonal Thermal Energy Storage Systems Coupled with Exhaust Heat Recovery. Appl. Sci. 2020, 10, 7771","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University; Dalhousie University","funders":"","keywords":"Pile; Transient (computer programming); Thermal energy storage; Environmental science; Geotechnical engineering; Geology; Computer science; Thermodynamics; Physics","score_opus":0.014902803964000566,"score_gpt":0.23939654113409134,"score_spread":0.22449373717009077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411606285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95521575,0.00051667035,0.0018641483,0.0001540141,0.0016795178,0.00052921765,0.000010796073,0.000039455685,0.039990433],"genre_scores_gemma":[0.99821204,0.00001843897,0.000020393103,0.00024422398,0.000060320057,0.0002042842,0.000009029939,0.000010989089,0.0012202819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99736756,0.00024266583,0.00041302174,0.0004037192,0.0013066252,0.00026638102],"domain_scores_gemma":[0.9989622,0.0001890871,0.0002518375,0.00031932976,0.00022574268,0.000051793595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017222317,0.0001971033,0.00034681335,0.00007736625,0.0003247571,0.000049506052,0.0004561115,0.00007578605,0.00028875063],"category_scores_gemma":[0.000022786675,0.00012240883,0.00008459794,0.001206591,0.00027496048,0.0001372168,0.000049752827,0.00012684145,0.0000076966035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034892495,0.0001064973,0.001318007,0.000050703864,0.00007130473,2.7495207e-7,0.000339162,0.9531106,0.036780067,0.0013764738,0.0037337318,0.0027642748],"study_design_scores_gemma":[0.00088797323,0.0002792724,0.007603892,0.00024149663,0.00008548945,0.0000123385935,0.0011365591,0.96045786,0.015949562,0.000024186409,0.013106382,0.00021501425],"about_ca_topic_score_codex":0.0024693613,"about_ca_topic_score_gemma":0.00016777625,"teacher_disagreement_score":0.04299629,"about_ca_system_score_codex":0.000094871226,"about_ca_system_score_gemma":0.00046461826,"threshold_uncertainty_score":0.49916875},"labels":[],"label_agreement":null},{"id":"W4411670899","doi":"10.3390/app15137147","title":"Hybrid Wind–Redox Flow Battery System for Decarbonizing Off-Grid Mining Operations","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced battery technologies research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flow battery; Grid; Environmental science; Computer science; Battery (electricity); Geology; Physics; Power (physics)","score_opus":0.019770257046224822,"score_gpt":0.2719232360698657,"score_spread":0.25215297902364087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411670899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6466975,0.000683392,0.3192913,0.0005830699,0.0013199603,0.00102456,0.00004275659,0.0018891707,0.02846825],"genre_scores_gemma":[0.95800865,0.0000150539645,0.041496105,0.000065076776,0.000070761875,0.00022881902,0.000006365523,0.00001486878,0.00009429039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987189,0.0000078968915,0.00023367023,0.0003453284,0.00021879886,0.00047539856],"domain_scores_gemma":[0.99942356,0.00023506513,0.000015009783,0.00025315856,0.000035440145,0.000037745147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003447496,0.00014814467,0.00018381242,0.00029870865,0.00046666097,0.00016480878,0.00061715266,0.000054818312,0.0000061754317],"category_scores_gemma":[0.000063559004,0.00013838372,0.000036624595,0.0005850065,0.00023087503,0.00018043042,0.00013512936,0.0001342882,0.000014952338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000665663,0.000013103176,0.00020972374,0.00023293967,0.0000426187,0.0000051416346,0.00014315876,0.8337339,0.08174351,0.0093291355,0.0037645632,0.070775546],"study_design_scores_gemma":[0.00031895284,0.000032119453,0.00009129619,0.00013026973,0.000012660843,0.0000069360763,0.002369144,0.7828466,0.20825587,0.0005091284,0.005122481,0.00030451387],"about_ca_topic_score_codex":0.0000022247132,"about_ca_topic_score_gemma":0.000008942227,"teacher_disagreement_score":0.3113111,"about_ca_system_score_codex":0.00013411467,"about_ca_system_score_gemma":0.00006551507,"threshold_uncertainty_score":0.5643124},"labels":[],"label_agreement":null},{"id":"W4411670996","doi":"10.3390/app15137145","title":"AI-Based Classification of Pediatric Breath Sounds: Toward a Tool for Early Respiratory Screening","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Innovation Council","funders":"","keywords":"Medicine","score_opus":0.053287189981046354,"score_gpt":0.336891145085333,"score_spread":0.28360395510428665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411670996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6115434,0.00023871264,0.37987438,0.0006625488,0.00005603768,0.0009220799,0.000013173363,0.00016279118,0.00652686],"genre_scores_gemma":[0.98341703,0.0000063209177,0.015329358,0.000962307,0.000055257296,0.00019286599,0.0000046948007,0.0000035865926,0.000028545446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991662,0.000010952227,0.00022899907,0.0002383164,0.00022019299,0.00013532207],"domain_scores_gemma":[0.9994823,0.00014023893,0.00010062717,0.00013540215,0.00011345948,0.000027987793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006262469,0.00007651882,0.00016532993,0.0004146305,0.0001435047,0.000024512516,0.00012960503,0.000057711633,0.0000034574953],"category_scores_gemma":[0.00006045656,0.000063520805,0.00010787425,0.001145167,0.0002014816,0.00007050204,0.000011386935,0.0000627853,8.8687386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008503802,0.00041183177,0.4858877,0.0009508617,0.0001611076,0.0000015197102,0.001190384,0.00011353072,0.25519916,0.14702488,0.0126614515,0.09554718],"study_design_scores_gemma":[0.0027825595,0.00084539613,0.6719131,0.00014104565,0.00037996634,6.2021155e-7,0.00084026554,0.0010274039,0.29862493,0.018601513,0.0044977656,0.00034546375],"about_ca_topic_score_codex":0.000007059656,"about_ca_topic_score_gemma":5.848683e-7,"teacher_disagreement_score":0.37187365,"about_ca_system_score_codex":0.000011670769,"about_ca_system_score_gemma":0.00021271853,"threshold_uncertainty_score":0.2590303},"labels":[],"label_agreement":null},{"id":"W4411737453","doi":"10.3390/app15137204","title":"Data-Driven Computational Methods in Fuel Combustion: A Review of Applications","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Combustion; Environmental science; Computer science; Chemistry","score_opus":0.10615118675210326,"score_gpt":0.44387106068209414,"score_spread":0.33771987392999087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411737453","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.9765386e-9,0.6367998,0.3586016,0.000039732317,0.000029785122,0.00062598614,0.00008351079,0.00014241978,0.0036771782],"genre_scores_gemma":[0.00000118188,0.6790611,0.32014686,0.000030412586,0.000013730455,0.00045861528,0.00024136809,0.000009052501,0.000037683214],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997891,0.000054709777,0.0008926384,0.00064311817,0.00029637187,0.0002221533],"domain_scores_gemma":[0.99737537,0.0013451414,0.00038361334,0.000808727,0.000055497134,0.000031651685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082245155,0.00027714946,0.0012680356,0.00041274307,0.000053333566,0.0000114749055,0.0021039923,0.00017044599,0.000037757185],"category_scores_gemma":[0.00036054009,0.00023867298,0.000108631895,0.0029899152,0.00034209905,0.00009481041,0.00065629964,0.0004285089,0.000016860968],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.058055e-7,0.000025490413,1.1107128e-7,0.08544053,0.00001791212,3.0070024e-7,0.0000024454562,0.013659397,0.0000012622697,0.111026645,0.00023441587,0.7895913],"study_design_scores_gemma":[0.0000783319,0.0000060910897,2.2727978e-7,0.049300496,0.00017815182,0.0000046442847,0.00002022322,0.007158173,0.00000373736,0.006488791,0.9364541,0.00030700484],"about_ca_topic_score_codex":0.0000011618223,"about_ca_topic_score_gemma":6.3883124e-7,"teacher_disagreement_score":0.9362197,"about_ca_system_score_codex":0.00008218156,"about_ca_system_score_gemma":0.0003080049,"threshold_uncertainty_score":0.9732802},"labels":[],"label_agreement":null},{"id":"W4411878019","doi":"10.3390/app15137380","title":"Interdependent Development of Physical and Cognitive Skills in U12 Soccer Players: Sprinting, Agility, and Decision-Making Are Interconnected","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Interdependence; Psychology; Cognition; Sociology; Neuroscience","score_opus":0.014612771154346142,"score_gpt":0.32945931065457884,"score_spread":0.3148465395002327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411878019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946623,0.000054035747,0.00062624743,0.000023098193,0.000031525044,0.00016970735,4.262021e-7,0.0000116452275,0.004421011],"genre_scores_gemma":[0.9966116,0.000003868258,0.0032043932,0.00014899086,0.000012141513,0.000009742565,6.580441e-7,0.000002529585,0.000006098317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999209,0.0000034323543,0.0002137074,0.00026322808,0.00016707739,0.00014358808],"domain_scores_gemma":[0.99964446,0.00017305398,0.000072264236,0.000051468312,0.000029931041,0.000028843451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043263452,0.000084516505,0.0002067025,0.00019949109,0.00008603332,0.000022236378,0.00006120872,0.000026117059,0.00001045955],"category_scores_gemma":[0.00005899237,0.00006549916,0.00001515695,0.0002541324,0.00028056887,0.0000677254,0.00014986555,0.00010608673,0.000001435847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059757105,0.00010231282,0.59074056,0.00005315426,0.000022047248,0.0000068291065,0.009389908,0.0000020879254,0.0007445035,0.0005876308,0.0000020720859,0.3982891],"study_design_scores_gemma":[0.000716741,0.000038016628,0.9777641,0.0016894118,0.000018858904,0.0000043359246,0.01245972,0.0004578275,0.0056749796,0.001090446,0.000012200965,0.0000733075],"about_ca_topic_score_codex":0.0000060568786,"about_ca_topic_score_gemma":0.00011393757,"teacher_disagreement_score":0.3982158,"about_ca_system_score_codex":0.000016391723,"about_ca_system_score_gemma":0.00007452456,"threshold_uncertainty_score":0.26709783},"labels":[],"label_agreement":null},{"id":"W4411878123","doi":"10.3390/app15137378","title":"A Similarity-Based Approach for Diagnosing the Aging of Lithium-Ion Batteries in Second Life Combining Time Series and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Computer science; USable; Similarity (geometry); Process (computing); Artificial intelligence; Degradation (telecommunications); Machine learning","score_opus":0.020095924144120137,"score_gpt":0.2589510783722177,"score_spread":0.23885515422809755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411878123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7942629,0.0012199174,0.19386798,0.0016385044,0.00009153264,0.0009852466,0.000015370604,0.0004267865,0.0074917534],"genre_scores_gemma":[0.9844557,0.000021405342,0.015242593,0.00009624977,0.00000631534,0.00013123249,0.000004549782,0.000009145243,0.000032803917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915683,0.000023967477,0.00019138055,0.00021979594,0.0001357191,0.00027227495],"domain_scores_gemma":[0.9991801,0.0006233002,0.000036489524,0.00012572207,0.00001614744,0.000018265591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068001903,0.000113872746,0.00018921675,0.00022616735,0.0002795047,0.000081329,0.00029422008,0.000053524822,0.000007315923],"category_scores_gemma":[0.00018531573,0.000089239635,0.000017784609,0.0006092951,0.0006154131,0.00015165482,0.00013239481,0.00026056694,3.3264718e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010399107,0.00007231638,0.04020209,0.0016762987,0.000053594267,0.000001972381,0.002128835,0.74009204,0.1730071,0.010993457,0.0002826059,0.031385675],"study_design_scores_gemma":[0.0008083693,0.00013446444,0.0019810968,0.00015803013,0.000010624048,0.0000015284849,0.0035499972,0.7290269,0.25666684,0.0051440233,0.002193356,0.00032479726],"about_ca_topic_score_codex":0.0000050862454,"about_ca_topic_score_gemma":0.000011623851,"teacher_disagreement_score":0.19019279,"about_ca_system_score_codex":0.000022703789,"about_ca_system_score_gemma":0.000030954197,"threshold_uncertainty_score":0.36390868},"labels":[],"label_agreement":null},{"id":"W4411878568","doi":"10.3390/app15137311","title":"The FIFA 11+ Program Significantly Enhances Physical Performance and Dynamic Balance in Male Handball Players","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Dynamic balance; Balance (ability); Physical medicine and rehabilitation; Physical therapy; Medicine; Engineering; Mechanical engineering","score_opus":0.009193968866771783,"score_gpt":0.29114756013099474,"score_spread":0.281953591264223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411878568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97757953,0.00019756425,0.000009871627,0.00040011053,0.00008156623,0.000395401,4.4116297e-7,0.00004054226,0.021294989],"genre_scores_gemma":[0.9982596,0.00024294977,0.0003522486,0.00019005346,0.000029468754,0.00013219706,0.0000018176802,0.0000035373535,0.0007880972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898094,0.000003490377,0.0001582561,0.00029725756,0.00022636703,0.00033368898],"domain_scores_gemma":[0.99969804,0.000070134534,0.00004653422,0.00012895685,0.00001470255,0.000041653577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038550745,0.00011089746,0.00017448956,0.000080023754,0.00037392107,0.000071693656,0.00016504615,0.00003199923,0.0000051808074],"category_scores_gemma":[0.000007861626,0.000068107525,0.000021509211,0.0005565297,0.00074278365,0.00011090289,0.000036458314,0.000141895,0.0000068263275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018873716,0.00023016288,0.66398346,0.00015087434,0.000024143967,0.000012515017,0.002475658,0.00011084631,0.011273563,0.004997169,0.00018054717,0.3163723],"study_design_scores_gemma":[0.0013359977,0.00041318018,0.8943297,0.00027962227,0.000033775126,0.000018786523,0.004139732,0.08367668,0.0092860935,0.0003067458,0.005931383,0.00024830914],"about_ca_topic_score_codex":0.000012594722,"about_ca_topic_score_gemma":0.000096868804,"teacher_disagreement_score":0.316124,"about_ca_system_score_codex":0.000019692488,"about_ca_system_score_gemma":0.00012589572,"threshold_uncertainty_score":0.28759363},"labels":[],"label_agreement":null},{"id":"W4411886846","doi":"10.3390/app15137268","title":"Predictability of ClinCheck in Overbite Correction with Aligners: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Overbite; Orthodontics; Computer science; Mathematics; Medicine; Malocclusion; Statistics","score_opus":0.036082983861961154,"score_gpt":0.35704334095576457,"score_spread":0.32096035709380344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411886846","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023210067,0.9805722,0.00011491367,0.0000038222984,0.00059664,0.0031463872,0.00003688271,0.00003373293,0.0154721625],"genre_scores_gemma":[0.00013102988,0.998478,0.00011570074,0.000050934483,0.000031603115,0.00023167292,0.000021115377,0.000012280705,0.0009276824],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963453,0.00027332254,0.0016410659,0.00065272796,0.00081476587,0.0002728474],"domain_scores_gemma":[0.99743146,0.0006445005,0.0011955154,0.00058518955,0.00007967908,0.000063678934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032487672,0.00034493473,0.0031103282,0.0002806,0.000083703126,0.00006762454,0.00056877016,0.00021283145,0.000036344503],"category_scores_gemma":[0.00057790126,0.0002230201,0.00032646436,0.0022694934,0.00032834953,0.000087038316,0.000106901665,0.00028409983,0.000033804492],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031209076,0.000060795766,0.0005964402,0.9908237,0.000042846605,0.000008012916,0.000018467521,0.0000016897833,7.570551e-8,0.00067426276,0.00035442156,0.007416184],"study_design_scores_gemma":[0.00013690676,0.00007262288,0.00006076957,0.967161,0.0022792232,0.00002800886,0.000054033808,0.0000131441575,0.0000012287845,0.00002756283,0.029829096,0.00033640795],"about_ca_topic_score_codex":0.000083330415,"about_ca_topic_score_gemma":0.0003289646,"teacher_disagreement_score":0.029474674,"about_ca_system_score_codex":0.00008712285,"about_ca_system_score_gemma":0.0007726742,"threshold_uncertainty_score":0.9094496},"labels":[],"label_agreement":null},{"id":"W4411926937","doi":"10.3390/app15137425","title":"Assessment of Multi-Depth Water Quality Dynamics in an Artificial Lake: A Case Study of the Ribnica Reservoir in Serbia","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Serbian Academy of Sciences and Arts","keywords":"Environmental science; Geology","score_opus":0.08592451787752713,"score_gpt":0.3997316070236054,"score_spread":0.31380708914607824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411926937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955766,9.5108135e-7,0.00009750931,0.00035295688,0.00007329601,0.0005402512,0.000009065152,0.0000068457857,0.0033425018],"genre_scores_gemma":[0.999253,3.9038974e-7,0.0005726931,0.000073123556,0.000002780659,0.00003897211,0.0000015593282,0.000002184892,0.00005530225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791086,0.00045531188,0.0005862045,0.00035231106,0.00045772915,0.00023755888],"domain_scores_gemma":[0.9994001,0.000074210424,0.00012012738,0.00036593102,0.000007610908,0.000032051972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032143667,0.000099478515,0.0002073446,0.00008101871,0.0001612991,0.00002882073,0.0005372905,0.000047602465,0.00008014875],"category_scores_gemma":[0.000013485759,0.00006109637,0.00002891685,0.00078973884,0.00056283263,0.00013704828,0.00040052694,0.00015294644,0.0000025271877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017407223,0.0020745012,0.9515928,0.000018508177,0.000004580367,0.000009797872,0.007605353,0.02022057,0.0117636435,0.006024051,0.0000058152605,0.00066294806],"study_design_scores_gemma":[0.00059928384,0.00011227978,0.93929917,0.000013477099,0.0000065317176,0.0000016146241,0.036744714,0.017101644,0.0045338734,0.0014508668,0.000020036929,0.0001164869],"about_ca_topic_score_codex":0.013097163,"about_ca_topic_score_gemma":0.6012181,"teacher_disagreement_score":0.58812094,"about_ca_system_score_codex":0.00018306043,"about_ca_system_score_gemma":0.000058191003,"threshold_uncertainty_score":0.9934747},"labels":[],"label_agreement":null},{"id":"W4412005478","doi":"10.3390/app15137499","title":"Decoding Humor-Induced Amusement via Facial Expression Analysis: Toward Emotion-Aware Applications","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Humor Studies and Applications","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Amusement; Facial expression; Psychology; Expression (computer science); Computer science; Cognitive psychology; Communication; Social psychology","score_opus":0.05382398769515835,"score_gpt":0.38037240436154,"score_spread":0.3265484166663817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412005478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29933617,0.00023564798,0.38548183,0.0032540283,0.00058696885,0.0020519933,0.00006323278,0.00041244173,0.30857772],"genre_scores_gemma":[0.9962282,0.000008782367,0.0011548409,0.0003659166,0.000114871495,0.0016275157,0.000016446496,0.000005632123,0.00047779165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983163,0.000030930958,0.00034544524,0.00067550817,0.00026331854,0.00036853005],"domain_scores_gemma":[0.99924666,0.00009745399,0.0001310118,0.00041405828,0.000038599268,0.00007224592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034874506,0.00016348739,0.00024698552,0.0003339927,0.0012657616,0.00006662253,0.0005476218,0.00007117242,0.000529281],"category_scores_gemma":[0.0000051777897,0.00014193504,0.00011382733,0.0024304262,0.0002063581,0.000034386474,0.00015621539,0.00012172997,0.00024854936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032161013,0.00085257104,0.013104212,0.000043843735,0.0010378155,0.0000021640724,0.014149449,0.000561854,0.09322938,0.7142764,0.014561855,0.1481483],"study_design_scores_gemma":[0.004322407,0.00037755643,0.23029886,0.00013770351,0.0033653781,0.0000055311775,0.25492594,0.005118999,0.07297773,0.062273048,0.3624585,0.0037383672],"about_ca_topic_score_codex":0.00008525978,"about_ca_topic_score_gemma":0.000056116878,"teacher_disagreement_score":0.696892,"about_ca_system_score_codex":0.000047990805,"about_ca_system_score_gemma":0.000043594006,"threshold_uncertainty_score":0.9735342},"labels":[],"label_agreement":null},{"id":"W4412087341","doi":"10.3390/app15137595","title":"Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Korea Evaluation Institute of Industrial Technology; Natural Sciences and Engineering Research Council of Canada","keywords":"Marching cubes; Volume (thermodynamics); Surface (topology); Geology; Soil science; Environmental science; Mathematics; Computer science; Geometry; Artificial intelligence; Physics","score_opus":0.04475168181006715,"score_gpt":0.28010618762855993,"score_spread":0.2353545058184928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412087341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813145,0.00017893346,0.0125147365,0.00011796191,0.00022998296,0.00010666573,0.00000989952,0.00003589455,0.005491458],"genre_scores_gemma":[0.8625985,0.0000141868695,0.13724592,0.000048470458,0.000011536934,5.3560507e-7,0.0000113015485,9.60018e-7,0.00006862294],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990032,0.00011034605,0.0001969804,0.00031939233,0.0001586445,0.0002114616],"domain_scores_gemma":[0.9996251,0.00019050312,0.00006339762,0.000063023945,0.000021155638,0.000036810594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011639735,0.000102558384,0.00013878237,0.00011619551,0.0005180949,0.00020151168,0.000108298,0.000054505774,0.000072112096],"category_scores_gemma":[0.00005145208,0.00008531712,0.000016321843,0.00062090496,0.00034551104,0.0004259788,0.000013868903,0.00011227964,0.000008660055],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012846712,0.0000038190174,0.5825246,0.000023618668,0.000004813826,6.2735495e-7,0.00032467165,0.076608606,0.0034582084,0.00090834097,0.0000112520875,0.3361186],"study_design_scores_gemma":[0.00013802962,0.000016911074,0.33294177,0.000042966876,0.000007298466,0.00003271884,0.0027492642,0.6536984,0.0006425107,0.009574444,0.000015126358,0.00014057338],"about_ca_topic_score_codex":0.0033187584,"about_ca_topic_score_gemma":0.0033393945,"teacher_disagreement_score":0.5770898,"about_ca_system_score_codex":0.000009990907,"about_ca_system_score_gemma":0.00005980625,"threshold_uncertainty_score":0.5016992},"labels":[],"label_agreement":null},{"id":"W4412087416","doi":"10.3390/app15137573","title":"Data-Driven Forecasting of Acute and Chronic Hepatitis B in Ukraine with Recurrent Neural Networks","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"Office of Naval Research; Narodowe Centrum Nauki","keywords":"Chronic hepatitis; Medicine; Artificial neural network; Computer science; Artificial intelligence; Virology; Virus","score_opus":0.03337170505131756,"score_gpt":0.2941427022979459,"score_spread":0.26077099724662833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412087416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966609,0.0011568435,0.000065605476,0.0003561283,0.00003649798,0.00032995557,0.000024120716,0.000008225402,0.0013617298],"genre_scores_gemma":[0.9988332,0.00041932781,0.0005556396,0.00008788442,0.000021101332,0.00003400118,0.00004057568,0.000002216527,0.0000061019746],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993426,0.000007724523,0.00012240584,0.00025883992,0.00012536271,0.000143073],"domain_scores_gemma":[0.9996818,0.000065186774,0.000045646608,0.00015225357,0.000013950706,0.000041173866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010594318,0.00007164634,0.00016291295,0.00006992932,0.000058581216,0.000015397756,0.000105480845,0.000015796366,0.000008206728],"category_scores_gemma":[0.0000050359695,0.00004657676,0.000010482548,0.00033745708,0.00021309576,0.000059159767,0.00010211435,0.000048040703,2.3911616e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010195623,0.000261236,0.8767756,0.00010350611,0.00017335832,0.000051205272,0.00020191859,0.0017154034,0.00008984996,0.0020333782,0.000299611,0.118192956],"study_design_scores_gemma":[0.0024515803,0.0007365545,0.4707769,0.0004982717,0.0004243507,0.00001040815,0.00012688621,0.5242759,0.00033045432,0.0000808329,0.0001591965,0.00012870172],"about_ca_topic_score_codex":0.000105128915,"about_ca_topic_score_gemma":0.00048612876,"teacher_disagreement_score":0.5225605,"about_ca_system_score_codex":0.000028993154,"about_ca_system_score_gemma":0.0000946597,"threshold_uncertainty_score":0.1899345},"labels":[],"label_agreement":null},{"id":"W4412201152","doi":"10.3390/app15147676","title":"Thermal and Electrical Fault Diagnosis in Oil–Paper Insulation System: A Comparative Study of Natural Esters and Mineral Oil","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Mineral oil; Petroleum engineering; Environmental science; Materials science; Geology; Metallurgy","score_opus":0.011311906054631947,"score_gpt":0.24432497782575005,"score_spread":0.2330130717711181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467194,0.000454384,0.00002763047,0.000022017717,0.000070580296,0.00008769333,0.0000012026785,0.000020508032,0.0046440335],"genre_scores_gemma":[0.9997821,0.00005620268,0.00008728946,0.000011966954,0.0000062024883,0.000048819984,0.0000011304938,0.0000021493445,0.0000041535313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994559,0.000013104965,0.00016891022,0.00013600786,0.00011489439,0.00011115136],"domain_scores_gemma":[0.99977976,0.00013390282,0.000017811006,0.00003880595,0.000011889376,0.000017824805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011589448,0.00007748307,0.00014041913,0.00014110298,0.00005522092,0.00003347756,0.000055779732,0.00002667783,6.3785546e-7],"category_scores_gemma":[0.000005701388,0.000063992855,0.000007112003,0.00040507142,0.00007190879,0.0001272049,0.00001105951,0.000064195316,2.4522956e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012976323,0.0006707503,0.53259176,0.000635983,0.00016249779,0.0000050984772,0.035720706,0.13056427,0.12745343,0.035855357,0.0000827819,0.13612762],"study_design_scores_gemma":[0.00095593155,0.00009025782,0.7911587,0.00006973132,0.000020865133,4.5220145e-7,0.0025256309,0.20364241,0.0013280278,0.00005032321,0.000027042823,0.00013066243],"about_ca_topic_score_codex":0.000073677176,"about_ca_topic_score_gemma":0.00011740419,"teacher_disagreement_score":0.25856692,"about_ca_system_score_codex":0.000020971343,"about_ca_system_score_gemma":0.000009694978,"threshold_uncertainty_score":0.26095527},"labels":[],"label_agreement":null},{"id":"W4412201592","doi":"10.3390/app15147762","title":"Dual-Branch Luminance–Chrominance Attention Network for Hydraulic Concrete Image Enhancement","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Chrominance; Luminance; Dual (grammatical number); Computer science; Artificial intelligence; Computer vision; Art","score_opus":0.010356303545461167,"score_gpt":0.27086418367948284,"score_spread":0.26050788013402165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01703469,0.0003377146,0.94520086,0.0015823198,0.0007856906,0.0011594325,0.0000021899916,0.00034725206,0.03354983],"genre_scores_gemma":[0.63933533,0.000062147374,0.35632172,0.0016038356,0.0001310825,0.0008811108,0.000004867668,0.000008159079,0.0016517331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973191,0.000037396654,0.0004468677,0.0009877055,0.00043784955,0.00077107735],"domain_scores_gemma":[0.9988023,0.00017806521,0.00022911762,0.0006259449,0.00011198408,0.0000525679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014258155,0.00025738962,0.00030611703,0.00014806213,0.0007802221,0.00040077444,0.0014266687,0.000075241194,0.000015394862],"category_scores_gemma":[0.000038736776,0.0002446077,0.00009656512,0.0014461562,0.0005261688,0.00076876406,0.00038705466,0.000115418225,0.000051284544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020334144,0.000033135562,0.000095083735,0.00008450295,0.000022244234,0.0000027428025,0.00017243838,0.000035920864,0.36028808,0.5173276,0.06246319,0.05945475],"study_design_scores_gemma":[0.00091266166,0.00031610587,0.0010459234,0.00023009913,0.000025624135,0.0000032663302,0.0000420385,0.018638434,0.8360525,0.07037074,0.07166439,0.00069820945],"about_ca_topic_score_codex":0.00001365716,"about_ca_topic_score_gemma":0.000004417499,"teacher_disagreement_score":0.6223006,"about_ca_system_score_codex":0.00008998439,"about_ca_system_score_gemma":0.0001773163,"threshold_uncertainty_score":0.9974813},"labels":[],"label_agreement":null},{"id":"W4412201672","doi":"10.3390/app15147772","title":"Examining the Design Characteristics of Mnemonics Serious Games on the App Stores: A Systematic Heuristic Review","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mnemonic; Computer science; Psychology; Cognitive psychology","score_opus":0.07473972286961389,"score_gpt":0.3386162368320161,"score_spread":0.2638765139624022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5199178,0.0873971,0.030165078,0.049722746,0.0072638015,0.018418012,0.00004672807,0.00031160915,0.2867571],"genre_scores_gemma":[0.9952173,0.00060481974,0.00020444691,0.0024954532,0.000033277556,0.00048718805,0.0000017259148,0.000004580908,0.0009511675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99873877,0.0002539239,0.0003766777,0.00023143143,0.0002491452,0.00015005482],"domain_scores_gemma":[0.9967827,0.0023787578,0.00031064497,0.00045650068,0.00005420803,0.000017146749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024717164,0.00010018798,0.00022991742,0.00004942799,0.00023783102,0.000043032163,0.0006088738,0.00003121782,0.00006228326],"category_scores_gemma":[0.00039651315,0.000049389055,0.000032368393,0.0005392029,0.00036613783,0.00001581898,0.000028282955,0.000103502454,0.00007191156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016885975,0.00014182061,0.00022769698,0.005150957,0.00007540176,5.1238374e-7,0.004643492,0.000026273154,0.0003167064,0.95954764,0.01469005,0.0151625825],"study_design_scores_gemma":[0.0019260488,0.0023016287,0.45336244,0.13314503,0.0033779023,0.00009707722,0.20625508,0.0055545876,0.0021567945,0.08770948,0.101091996,0.0030219324],"about_ca_topic_score_codex":0.0000074919535,"about_ca_topic_score_gemma":7.829633e-7,"teacher_disagreement_score":0.87183815,"about_ca_system_score_codex":0.000019653866,"about_ca_system_score_gemma":0.00011221879,"threshold_uncertainty_score":0.20140272},"labels":[],"label_agreement":null},{"id":"W4412201690","doi":"10.3390/app15147771","title":"Ultimate Capacity of a GFRP-Reinforced Concrete Bridge Barrier–Deck Anchorage Subjected to Transverse Loading","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural engineering; Fibre-reinforced plastic; Bridge deck; Deck; Materials science; Transverse plane; Geotechnical engineering; Engineering","score_opus":0.017511057487964162,"score_gpt":0.24573830863318377,"score_spread":0.2282272511452196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98040193,0.000028127715,0.003993416,0.000021840644,0.00032385183,0.0004665043,0.000037435588,0.00035098122,0.014375885],"genre_scores_gemma":[0.99610275,0.0000068161,0.0036426836,0.0000954567,0.000019576522,0.00003842267,0.000004439117,0.000014378148,0.00007548628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983527,0.000011753702,0.0004142805,0.00034368242,0.00036005705,0.0005175192],"domain_scores_gemma":[0.9993122,0.00010673935,0.00005682551,0.00030519397,0.000056466593,0.0001625253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026582662,0.00026211725,0.00037682554,0.0003165416,0.00017863834,0.000077903474,0.0005942714,0.0001056986,0.00009672926],"category_scores_gemma":[0.00004695264,0.0002515577,0.000094541174,0.0012820505,0.00034910126,0.00021988215,0.00005054907,0.0001783961,0.000028993893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001851544,5.1560427e-8,0.00011679861,0.000051243005,0.00001984383,0.0000017011687,0.00068116485,0.005253134,0.9867665,0.0063028606,0.000103662154,0.0006845007],"study_design_scores_gemma":[0.00049089757,0.000041725343,0.004029697,0.000061792,0.00003647715,0.0000033192146,0.0002471716,0.0104177,0.98393947,0.00006192083,0.00033128276,0.00033852705],"about_ca_topic_score_codex":0.00010712612,"about_ca_topic_score_gemma":0.0000048237666,"teacher_disagreement_score":0.015700784,"about_ca_system_score_codex":0.0000766671,"about_ca_system_score_gemma":0.00006811983,"threshold_uncertainty_score":0.9999937},"labels":[],"label_agreement":null},{"id":"W4412369166","doi":"10.3390/app15147631","title":"A State-of-the-Art Review on the Potential of Waste Cooking Oil as a Sustainable Insulating Liquid for Green Transformers","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Waste management; Environmental science; Transformer oil; Transformer; Engineering","score_opus":0.01612233475219544,"score_gpt":0.2670446904680043,"score_spread":0.25092235571580884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412369166","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010643252,0.9740017,0.001493181,0.00010911032,0.00019631704,0.0015955401,0.00006219934,0.000025839447,0.022409698],"genre_scores_gemma":[0.0035531577,0.9957392,0.000051096584,0.000071898874,0.000021862345,0.00030486513,0.000014254435,0.000019490208,0.00022414429],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837357,0.000029979275,0.0006706171,0.00022707735,0.00036268987,0.00033606007],"domain_scores_gemma":[0.99902123,0.00048346276,0.0002026606,0.00019709999,0.00006662426,0.000028925344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089631166,0.0002520045,0.00073242764,0.00013780296,0.00022546815,0.000025440204,0.00054196216,0.000073676485,0.000008830277],"category_scores_gemma":[0.00008199362,0.00014648547,0.00033234674,0.00097466673,0.00017331104,0.00007234727,0.000029200657,0.0001800856,0.0000024400651],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008699383,0.000019654939,9.14566e-8,0.13752718,0.00009795058,3.9304487e-7,0.00013583139,0.0026650648,0.00006231527,0.008474984,0.000296736,0.8507111],"study_design_scores_gemma":[0.00020935237,0.00019191088,5.361492e-7,0.08032254,0.00074995984,0.000002132837,0.00015846678,0.0011854143,0.000769772,0.00089333265,0.91511446,0.0004021245],"about_ca_topic_score_codex":0.000018084731,"about_ca_topic_score_gemma":0.0000055674177,"teacher_disagreement_score":0.9148177,"about_ca_system_score_codex":0.000048178674,"about_ca_system_score_gemma":0.00032528213,"threshold_uncertainty_score":0.5973504},"labels":[],"label_agreement":null},{"id":"W4412369189","doi":"10.3390/app15147630","title":"Data-Driven Simulation of Navigator Stress in Close-Quarter Ship Encounters: Insights for Maritime Risk Assessment and Intelligent Training Design","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Oceans and Fisheries; Korea Maritime and Ocean University","keywords":"Workload; Situation awareness; Situational ethics; Port (circuit theory); Quarter (Canadian coin); Engineering; Computer science; Aeronautics; Applied psychology; Simulation; Psychology; Geography; Social psychology","score_opus":0.05692141392956407,"score_gpt":0.3301106330831137,"score_spread":0.27318921915354966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412369189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29796365,0.0001466896,0.6937313,0.000079148944,0.0002020463,0.0009770462,0.00015145307,0.00008215422,0.006666476],"genre_scores_gemma":[0.9859769,0.00002393595,0.013874659,0.00002879171,0.000013252262,0.00003788061,0.000035199657,0.0000046299497,0.000004787468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913645,0.00003221715,0.00028562875,0.00024501883,0.00015471976,0.0001459746],"domain_scores_gemma":[0.999202,0.0005408631,0.000048012087,0.00015335176,0.000023757784,0.000032000247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006189937,0.00009473633,0.00015917687,0.00012418789,0.00008539705,0.00005894756,0.00023667731,0.000053105272,0.000012704765],"category_scores_gemma":[0.000024286846,0.00008781486,0.000014772085,0.00027043317,0.000111095025,0.00019021012,0.000042658954,0.00009549952,6.496589e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035869747,0.0000619142,0.0048320135,0.00021661086,0.000044143475,7.920552e-7,0.0035926136,0.88515955,0.0019516277,0.020707002,0.00017444018,0.08322339],"study_design_scores_gemma":[0.00024076735,0.00002987207,0.002392738,0.00008562253,0.000012514962,8.992045e-8,0.0014186285,0.9876659,0.0013868306,0.00635032,0.00031871715,0.00009800493],"about_ca_topic_score_codex":0.0000118365115,"about_ca_topic_score_gemma":0.00005783821,"teacher_disagreement_score":0.6880132,"about_ca_system_score_codex":0.00003731551,"about_ca_system_score_gemma":0.00005859249,"threshold_uncertainty_score":0.35809857},"labels":[],"label_agreement":null},{"id":"W4412425677","doi":"10.3390/app15147820","title":"An Interface Design Method Based on Situation Awareness and Immersive Analytics for Augmented and Mixed Reality Decision Support Systems in Construction","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Augmented reality; Computer science; Human–computer interaction; Mixed reality; Analytics; Data science","score_opus":0.07867145973402291,"score_gpt":0.4494746485812236,"score_spread":0.3708031888472007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412425677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13266869,0.000007827106,0.86356556,0.00021211823,0.0005296265,0.00051043084,0.000009020056,0.000022165137,0.0024745686],"genre_scores_gemma":[0.98709404,0.0000019260217,0.012631108,0.00011643504,0.000010338234,0.00008552797,0.0000119116385,0.0000029992611,0.00004572689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884427,0.00021044604,0.00029670267,0.00038676348,0.0001349451,0.00012689509],"domain_scores_gemma":[0.9987085,0.0009211195,0.00012908602,0.0001351443,0.0000653957,0.000040772262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018012204,0.00009287989,0.00016193942,0.00033433875,0.00023462203,0.000090132395,0.0000905037,0.00007434991,0.000046430567],"category_scores_gemma":[0.00006256017,0.000082770806,0.00001465498,0.00033184027,0.00014889281,0.00010860508,0.000011322658,0.000063164734,0.0000029135203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004961262,0.0007885874,0.01838212,0.00022092507,0.00014938551,0.000003391343,0.011313509,0.20661078,0.031024199,0.37904474,0.005380258,0.34212083],"study_design_scores_gemma":[0.0020911288,0.00036301286,0.04518548,0.000078506826,0.000035554862,0.0000052353994,0.018701518,0.92285234,0.005899037,0.004136951,0.00045846825,0.00019275813],"about_ca_topic_score_codex":0.000118010525,"about_ca_topic_score_gemma":0.00008046088,"teacher_disagreement_score":0.8544253,"about_ca_system_score_codex":0.000056420722,"about_ca_system_score_gemma":0.00007163714,"threshold_uncertainty_score":0.33752954},"labels":[],"label_agreement":null},{"id":"W4412595850","doi":"10.3390/app15158181","title":"Multi-Objective Automated Machine Learning for Inversion of Mesoscopic Parameters in Discrete Element Contact Models","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Centre Scientifique et Technique du Bâtiment; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Mesoscopic physics; Inversion (geology); Computer science; Artificial intelligence; Machine learning; Geology; Physics","score_opus":0.015936294123811368,"score_gpt":0.2541634305865491,"score_spread":0.23822713646273774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412595850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5983352,0.00014368667,0.3986194,0.000036628833,0.00010480268,0.0005471375,0.000004515723,0.00024718142,0.0019613884],"genre_scores_gemma":[0.9801721,0.000024049641,0.01970678,0.000014413568,0.0000013630345,0.000046869278,0.000006478664,0.0000040156597,0.000023948793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994908,0.0000071778554,0.00014759834,0.00014086442,0.00008136296,0.00013219235],"domain_scores_gemma":[0.9998395,0.000056835095,0.00003393556,0.000044213048,0.000011411497,0.000014123188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018002762,0.00007338242,0.00011867689,0.00014547695,0.00006895805,0.000019158984,0.00010518049,0.000029365283,0.0000023451314],"category_scores_gemma":[0.000011333232,0.00006321411,0.000016570077,0.00023622742,0.000033074655,0.00008848916,0.000021038952,0.000052725944,3.045623e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007687827,0.000006482363,0.0004462273,0.00007864616,0.0000072661333,4.40451e-8,0.00032265854,0.9961455,0.0014786703,0.0008492286,0.000007889379,0.0006497295],"study_design_scores_gemma":[0.00039526625,0.000025390405,0.0005139547,0.000039119168,0.0000052433284,1.6848086e-8,0.00019214055,0.9487443,0.049500477,0.00050976494,0.0000141639275,0.00006017688],"about_ca_topic_score_codex":0.00007774846,"about_ca_topic_score_gemma":0.000040879655,"teacher_disagreement_score":0.38183686,"about_ca_system_score_codex":0.000035459303,"about_ca_system_score_gemma":0.000017452418,"threshold_uncertainty_score":0.25777966},"labels":[],"label_agreement":null},{"id":"W4412643123","doi":"10.3390/app15158219","title":"Scale Considerations and the Quantification of the Degree of Fracturing for Geological Strength Index (GSI) Assessments","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Index (typography); Scale (ratio); Geology; Petroleum engineering; Computer science; Geography; Cartography","score_opus":0.05493942983115661,"score_gpt":0.29215252637948197,"score_spread":0.23721309654832537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412643123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76048744,0.000068355264,0.23660117,0.00018836542,0.00008436537,0.00022761106,0.0000024261924,0.000009966926,0.002330318],"genre_scores_gemma":[0.9976546,0.000012303951,0.002266385,0.000025239793,0.0000045124248,0.000026551206,2.8859662e-7,0.0000012042447,0.000008914596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996558,0.000007043455,0.00012529161,0.000075139695,0.00007761279,0.000059157006],"domain_scores_gemma":[0.9996269,0.00022915927,0.00003466378,0.0000831167,0.000020116842,0.0000060596713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031562833,0.00003472265,0.000071957074,0.000023174667,0.00017839797,0.00001799631,0.00010020048,0.000022644932,0.000001689773],"category_scores_gemma":[0.000027672308,0.000016884154,0.00001659731,0.000091546695,0.00011531285,0.000024055567,0.000032221164,0.000037751317,4.4517037e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010759615,0.000020221913,0.0009779837,0.000053782518,0.000025012896,1.1007735e-8,0.0003408257,0.19651839,0.049253527,0.7411707,0.00008133137,0.011547449],"study_design_scores_gemma":[0.00027856027,0.0000063651796,0.0024573528,0.000016160535,0.00001373761,1.690502e-7,0.00043404527,0.8213502,0.113335885,0.06202741,0.00004445338,0.00003566763],"about_ca_topic_score_codex":0.00000772901,"about_ca_topic_score_gemma":0.000021108839,"teacher_disagreement_score":0.6791433,"about_ca_system_score_codex":0.0000033306185,"about_ca_system_score_gemma":0.000021876323,"threshold_uncertainty_score":0.1372111},"labels":[],"label_agreement":null},{"id":"W4413078131","doi":"10.3390/app15147980","title":"Potential Benefits of Polar Transformation of Time–Frequency Electrocardiogram (ECG) Signals for Evaluation of Cardiac Arrhythmia","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Spectrogram; Visualization; Computer science; Artificial intelligence; Polar; Pattern recognition (psychology); Convolutional neural network; Time–frequency analysis; Waveform; Deep learning; Speech recognition; Computer vision; Filter (signal processing); Telecommunications; Physics","score_opus":0.015208114377891394,"score_gpt":0.29736140179919657,"score_spread":0.2821532874213052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413078131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874796,0.0011850176,0.0046477327,0.00016362888,0.00007418898,0.0005131393,0.000022267564,0.00001165115,0.005902734],"genre_scores_gemma":[0.9977807,0.00006273944,0.00200895,0.0000061801134,0.00006317312,0.000034622895,0.000018261298,0.0000027222027,0.000022646904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873835,0.00003215497,0.00035471198,0.00014830747,0.0005983135,0.00012814358],"domain_scores_gemma":[0.9992729,0.000067816465,0.00015976177,0.00011855265,0.00035778934,0.000023185337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018221085,0.00007005068,0.00033864958,0.0002753182,0.00006749615,0.000005692418,0.00008325651,0.000052244435,0.000008153293],"category_scores_gemma":[0.000055975914,0.00005839211,0.00019180964,0.0007882346,0.00013004988,0.00005852172,0.0000054577854,0.000037622965,7.35149e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005835695,0.000042214408,0.0020135383,0.00017524748,0.00022292553,1.9842021e-8,0.00026693204,0.004970342,0.86437094,0.0015703711,0.00002780475,0.12628128],"study_design_scores_gemma":[0.00077959744,0.0003172817,0.0072613778,0.00012896562,0.0012753222,4.564333e-7,0.00047876895,0.016003674,0.97041094,0.003238944,0.000026319418,0.00007835389],"about_ca_topic_score_codex":0.00004936347,"about_ca_topic_score_gemma":0.0000012007321,"teacher_disagreement_score":0.12620293,"about_ca_system_score_codex":0.000020016005,"about_ca_system_score_gemma":0.00022292338,"threshold_uncertainty_score":0.23811612},"labels":[],"label_agreement":null},{"id":"W4413122282","doi":"10.3390/app15158751","title":"Analysis of 3D-Printed Zirconia Implant Overdenture Bars","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"AAID Foundation; American Academy of Implant Dentistry","keywords":"Dentistry; Implant; Cubic zirconia; Orthodontics; Materials science; Medicine; Composite material","score_opus":0.015208431146260977,"score_gpt":0.3167589426027911,"score_spread":0.3015505114565301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413122282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92627245,0.00007487722,0.0017041663,0.000052598054,0.00051168125,0.00015392048,0.000064088395,0.000109373155,0.07105684],"genre_scores_gemma":[0.9972448,0.000011022795,0.0010286579,0.00033835942,0.000008713612,0.000010468261,0.000015247021,0.000002889975,0.0013398562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99885494,0.000014559138,0.00028720833,0.0003083745,0.0003151925,0.00021973098],"domain_scores_gemma":[0.9994683,0.00010792371,0.000112643356,0.00024903455,0.000025998148,0.000036078894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029737252,0.000113895774,0.00031611335,0.00046020627,0.00013116929,0.000075268654,0.00053027144,0.000072039686,0.00028296353],"category_scores_gemma":[0.000016709186,0.00008885024,0.00012296776,0.001955016,0.00022834484,0.00006437031,0.00016954819,0.00008594944,0.00004144823],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011855563,0.0002855968,0.3736168,0.00013737915,0.002332295,0.00022478342,0.0004957821,0.00061759824,0.18022406,0.37920758,0.032689627,0.030049948],"study_design_scores_gemma":[0.0006770668,0.00006727271,0.84014785,0.00006567312,0.0014755976,0.00010997719,0.0014018484,0.00208335,0.13811994,0.004132956,0.0111917835,0.0005266966],"about_ca_topic_score_codex":0.00021179212,"about_ca_topic_score_gemma":0.00029424072,"teacher_disagreement_score":0.46653104,"about_ca_system_score_codex":0.000023914557,"about_ca_system_score_gemma":0.00003916982,"threshold_uncertainty_score":0.36232075},"labels":[],"label_agreement":null},{"id":"W4413133528","doi":"10.3390/app15158647","title":"Visual Flight Rules Stabilised Approach: Identifying Human-Factor Influences on Incidents and Accidents During Stabilised Approach, Landing, and Go-Around Flight Phases for General Aviation","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Situation awareness; Aviation; Aeronautics; Aviation safety; Engineering; Transport engineering; Risk analysis (engineering); Medicine","score_opus":0.05773307499552779,"score_gpt":0.40688082122319674,"score_spread":0.349147746227669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413133528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787844,0.00008803921,0.0018086745,0.0000495984,0.0004674259,0.00093518046,0.000025850843,0.00013438135,0.017706493],"genre_scores_gemma":[0.9971521,0.000009852823,0.0008967333,0.0001540569,0.00013634976,0.00037975487,0.0000497139,0.000014693432,0.0012067672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975722,0.000109176646,0.0005827653,0.0008715497,0.00044818982,0.0004161377],"domain_scores_gemma":[0.9990226,0.00027946138,0.0003037583,0.00021255473,0.00007111146,0.000110515066],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006325522,0.00028857405,0.0003364362,0.0005335569,0.0013982058,0.0006408248,0.00032707717,0.00013919486,0.00018398161],"category_scores_gemma":[0.0000751144,0.00024594553,0.00006597169,0.00035948894,0.00038412688,0.00061228976,0.00010468786,0.00016944452,0.00001635533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016368954,0.0025973965,0.44968334,0.0010225049,0.00070932,0.0000049315768,0.058340337,0.00039428464,0.22774234,0.24675196,0.0020126014,0.009104084],"study_design_scores_gemma":[0.005594123,0.00024718442,0.9575657,0.00010992927,0.00009228756,0.000010640344,0.0142379245,0.00393841,0.0114243105,0.0052222093,0.00076567807,0.0007915927],"about_ca_topic_score_codex":0.000058549893,"about_ca_topic_score_gemma":0.000040514253,"teacher_disagreement_score":0.50788236,"about_ca_system_score_codex":0.00010005772,"about_ca_system_score_gemma":0.000042620944,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W4413159666","doi":"10.3390/app15168921","title":"Hand Kinematic Model Construction Based on Tracking Landmarks","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Computer science; Geology; Artificial intelligence; Physics; Classical mechanics","score_opus":0.023368791585145474,"score_gpt":0.26494756464645325,"score_spread":0.24157877306130776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413159666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076940395,0.000013545117,0.88876396,0.0007015353,0.0003026015,0.00018133143,8.184678e-7,0.00009281856,0.10224933],"genre_scores_gemma":[0.9509531,6.3048543e-7,0.048181314,0.00074188877,0.000021827747,0.00003337992,6.8011775e-7,0.0000017643998,0.00006537849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988918,0.000031942487,0.00018748599,0.0003657474,0.0003323687,0.00019071011],"domain_scores_gemma":[0.999428,0.00018964241,0.00007247122,0.00022696833,0.000041751402,0.0000411926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063029944,0.000098755096,0.00013650315,0.0002350525,0.00039570508,0.00039609557,0.00050090236,0.000047976984,0.000005314292],"category_scores_gemma":[0.000030068939,0.00007582584,0.00003219241,0.000799714,0.00020393636,0.00017190722,0.00004040782,0.00008117635,0.000026469188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001127444,0.000097171585,0.0011067996,0.00010719313,0.000013891242,0.0000030006736,0.00062882464,0.12971067,0.006486267,0.7111192,0.0009820288,0.14973369],"study_design_scores_gemma":[0.000315012,0.000022898847,0.00023486203,0.00008570893,0.0000042943634,0.00000205523,0.000097710195,0.9758942,0.0062087253,0.016776172,0.00023608851,0.00012226516],"about_ca_topic_score_codex":0.0000041156095,"about_ca_topic_score_gemma":0.00000962592,"teacher_disagreement_score":0.9432591,"about_ca_system_score_codex":0.00001980747,"about_ca_system_score_gemma":0.000138674,"threshold_uncertainty_score":0.38195586},"labels":[],"label_agreement":null},{"id":"W4413176985","doi":"10.3390/app15168897","title":"Variability and Trends in Selected Seismological Parameters During Longwall Mining of a Coal Seam Disrupted by a Rockburst","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Coal mining; Mining engineering; Geology; Longwall mining; Coal; Geography; Archaeology","score_opus":0.011056074994915215,"score_gpt":0.2309365690337371,"score_spread":0.2198804940388219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413176985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904554,0.00007864366,0.008148975,0.0000317135,0.00004417057,0.00007219289,0.000003261364,0.00006136979,0.0011042634],"genre_scores_gemma":[0.99832624,0.000015358899,0.0015953825,0.00001830563,0.0000028093841,0.000018166267,0.0000026072298,0.0000038622475,0.00001725305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916786,0.000016465145,0.00020953517,0.0002591691,0.00011272781,0.00023422534],"domain_scores_gemma":[0.99975044,0.00009478677,0.000023227436,0.000083017316,0.0000115376015,0.000036988575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033306965,0.00010169985,0.00018421956,0.00016161897,0.00008225145,0.000026179656,0.00013584255,0.00006732169,0.000004213304],"category_scores_gemma":[0.000026293368,0.00009103843,0.000016260927,0.0008160004,0.00006126474,0.00004576035,0.000057402325,0.00009640774,1.4112841e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009315176,0.00018829545,0.017265754,0.00025927986,0.000074889234,0.000006600295,0.0040725637,0.6661951,0.2885972,0.0031001694,0.00024126511,0.019905755],"study_design_scores_gemma":[0.00066542084,0.000055254943,0.010274735,0.000052694282,0.000017058295,0.0000029481228,0.0006643072,0.9519514,0.034782812,0.001227848,0.000039272945,0.0002662759],"about_ca_topic_score_codex":0.00002806328,"about_ca_topic_score_gemma":0.00001204566,"teacher_disagreement_score":0.2857563,"about_ca_system_score_codex":0.000027896056,"about_ca_system_score_gemma":0.000014319197,"threshold_uncertainty_score":0.37124395},"labels":[],"label_agreement":null},{"id":"W4413206757","doi":"10.3390/app15168813","title":"Exposure Pathways, Systemic Distribution, and Health Implications of Micro- and Nanoplastics in Humans","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microplastics; Human health; Medicine; Environmental health; Risk analysis (engineering); Biology; Ecology","score_opus":0.013176542256413062,"score_gpt":0.23312855720614475,"score_spread":0.21995201494973168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413206757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98940873,0.00026182772,0.008373298,0.00030895177,0.000046804056,0.00016335184,0.0000747923,0.0000074972045,0.0013547445],"genre_scores_gemma":[0.99922013,0.000103309125,0.00056878466,0.00006981864,0.0000032391554,0.000008960153,0.000006639706,0.0000012593615,0.000017869783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993221,0.000013913837,0.00020517301,0.00022142312,0.00008298463,0.00015440886],"domain_scores_gemma":[0.9997261,0.000081607795,0.000073362324,0.000075321244,0.0000039694496,0.000039639686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038252337,0.00006418977,0.00010874166,0.00003801958,0.0002092939,0.0000207133,0.00009815801,0.000031060943,0.000011459301],"category_scores_gemma":[0.000018256078,0.000055622582,0.0000064112965,0.00034188214,0.00044472425,0.000033933142,0.00008616649,0.000044753135,0.0000029982414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007371653,0.000072762836,0.56642354,0.0000964345,0.0000045320094,2.7554643e-7,0.000747118,0.00065555377,0.25216264,0.1705217,0.0015646741,0.007743388],"study_design_scores_gemma":[0.00026669595,0.00006376369,0.9893704,0.00007303033,0.0000060533407,0.0000050115837,0.00039948587,0.00035534045,0.0025248593,0.006214552,0.0006176726,0.00010312622],"about_ca_topic_score_codex":0.00012782378,"about_ca_topic_score_gemma":0.00027765776,"teacher_disagreement_score":0.42294687,"about_ca_system_score_codex":0.000052060674,"about_ca_system_score_gemma":0.00004738152,"threshold_uncertainty_score":0.2268223},"labels":[],"label_agreement":null},{"id":"W4413221982","doi":"10.3390/app15168828","title":"Tissue-Specific Modulation of Spexin Expression in Diet-Induced Obese Male Rats: Comparative Effects of Aerobic Exercise and Metformin","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Metformin; Medicine; Internal medicine; Endocrinology; Aerobic exercise; Obesity; Diabetes mellitus","score_opus":0.035223380137336745,"score_gpt":0.2974107875674499,"score_spread":0.26218740743011315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413221982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944702,0.00020592088,0.00034370983,0.000024292436,0.000080873586,0.00049757573,0.0000010123637,0.000010950716,0.004365478],"genre_scores_gemma":[0.99869347,0.00009897622,0.0010619356,0.000014557478,0.000006152703,0.000018811488,7.313428e-7,0.0000022357751,0.00010315035],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988805,0.00005474667,0.00027924092,0.000354058,0.00028269208,0.00014873414],"domain_scores_gemma":[0.9993,0.0003369634,0.00015273255,0.00015701735,0.000022002785,0.000031277505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022263,0.000105051426,0.00027409056,0.00026324182,0.00011829853,0.000024975674,0.00021749077,0.00004979503,0.000015196232],"category_scores_gemma":[0.00003501797,0.00008604731,0.000019738187,0.0009550387,0.0003813436,0.0002301654,0.00008930754,0.00006105854,0.00000396565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071831826,0.00006871116,0.00042606212,0.000059407557,4.944393e-7,8.6027285e-7,0.0006201533,0.000266524,0.98706645,0.0066085914,0.000034427092,0.0047765085],"study_design_scores_gemma":[0.0003271394,0.0000887027,0.017253673,0.00021431404,0.0000028316317,3.252434e-7,0.00025311921,0.00076287164,0.9786777,0.0022785498,0.00006511832,0.00007564504],"about_ca_topic_score_codex":0.000010757102,"about_ca_topic_score_gemma":0.000009237555,"teacher_disagreement_score":0.016827611,"about_ca_system_score_codex":0.000014083642,"about_ca_system_score_gemma":0.000029681765,"threshold_uncertainty_score":0.35089076},"labels":[],"label_agreement":null},{"id":"W4413246657","doi":"10.3390/app15168783","title":"Retinal OCT Images: Graph-Based Layer Segmentation and Clinical Validation","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence; Optical coherence tomography; Computer vision; Image segmentation; Wavelet; Cut; Pattern recognition (psychology); Robustness (evolution); Computation; Graph; Scale-space segmentation; Algorithm; Medicine; Ophthalmology; Theoretical computer science","score_opus":0.036834243646288005,"score_gpt":0.39038996365077955,"score_spread":0.35355572000449154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413246657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611666,0.000076094664,0.012507028,0.0033965965,0.00006064881,0.00013917907,7.5185727e-7,0.000043412412,0.022609647],"genre_scores_gemma":[0.9908779,0.000026469585,0.007798106,0.000974162,0.000032266486,0.0000070834312,0.000008387387,0.0000019038038,0.0002737188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992044,0.000033033037,0.00019596439,0.0002590389,0.00020240962,0.00010516028],"domain_scores_gemma":[0.9996443,0.00012582609,0.000058052916,0.000089701614,0.000037997866,0.000044128356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087765144,0.000061514256,0.00013287712,0.00015026041,0.0001620722,0.00008107952,0.00005650381,0.000026258422,0.000024186722],"category_scores_gemma":[0.000065282795,0.00004581374,0.000048789225,0.00053334347,0.0004034755,0.000062084364,0.000014131021,0.00007781951,0.000009403906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001435816,0.00018836565,0.8495431,0.00008896106,0.00007307702,0.0000068043237,0.00008592746,0.00007849127,0.08423791,0.0030716637,0.0038576405,0.058624495],"study_design_scores_gemma":[0.004886632,0.00072175486,0.58728456,0.00042266035,0.001447742,0.000014830603,0.0045022806,0.016532177,0.3725099,0.008833478,0.002300562,0.00054343865],"about_ca_topic_score_codex":0.000021863032,"about_ca_topic_score_gemma":0.0000015957213,"teacher_disagreement_score":0.28827196,"about_ca_system_score_codex":0.000008884382,"about_ca_system_score_gemma":0.00007181174,"threshold_uncertainty_score":0.18682301},"labels":[],"label_agreement":null},{"id":"W4413255903","doi":"10.3390/app15158565","title":"Spatiotemporal Risk-Aware Patrol Planning Using Value-Based Policy Optimization and Sensor-Integrated Graph Navigation in Urban Environments","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Computer science; Reinforcement learning; Scalability; Adaptability; Motion planning; Real-time computing; Artificial intelligence; Graph; Machine learning; Robot","score_opus":0.032594878221986145,"score_gpt":0.3488498621651694,"score_spread":0.31625498394318324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681016,0.000054029173,0.12856847,0.0003607264,0.00008661458,0.0002855333,0.000014336107,0.000031009182,0.0024977103],"genre_scores_gemma":[0.99652356,0.000010373854,0.0032372028,0.00010079307,0.000036290417,0.000013445749,0.000017721499,0.0000039157057,0.000056669003],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988493,0.00014683206,0.00022333566,0.00028765816,0.00025843584,0.00023448539],"domain_scores_gemma":[0.99965465,0.00006822827,0.00013434108,0.00007797607,0.000016366277,0.00004844935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007332868,0.00009653185,0.00011054305,0.00034676457,0.00084861316,0.0001623784,0.0001445413,0.00007003254,0.00004171668],"category_scores_gemma":[0.000046970927,0.000093389826,0.000035186502,0.00094804255,0.00044466404,0.00018411194,0.000026099133,0.00010644817,0.0000016355141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001647723,0.00009931826,0.589756,0.00001702165,0.000012422669,0.0000015849752,0.0046049645,0.39238074,0.0012803748,0.008533966,0.00009206943,0.0032050142],"study_design_scores_gemma":[0.0017089626,0.00012720247,0.09842201,0.0006188255,0.00007485768,6.060589e-7,0.032218322,0.8555372,0.0034999796,0.00550847,0.0016219659,0.00066165166],"about_ca_topic_score_codex":0.012595479,"about_ca_topic_score_gemma":0.00028443203,"teacher_disagreement_score":0.49133402,"about_ca_system_score_codex":0.00012813383,"about_ca_system_score_gemma":0.00017676578,"threshold_uncertainty_score":0.99397975},"labels":[],"label_agreement":null},{"id":"W4413256754","doi":"10.3390/app15158497","title":"Animal Performance and Carcass Characteristics of Crossbred Bulls Finished in Different Production Systems in the Tropics","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Universidade Estadual de Maringá; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Marbled meat; Feedlot; Crossbreed; Animal science; Carcass weight; Production system (computer science); Pasture; Tropics; Biology; Beef cattle; Weaning; Body weight; Production (economics); Agronomy; Fishery","score_opus":0.020389818035226465,"score_gpt":0.23322371937901487,"score_spread":0.2128339013437884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413256754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748105,0.000058142272,3.4616085e-7,0.0015549073,0.000082383354,0.00020753527,0.00000464724,0.000004656234,0.0006063523],"genre_scores_gemma":[0.99976176,0.00007706045,0.0000045951356,0.00006371726,0.000038199716,0.000031717173,0.000003683549,1.2870763e-7,0.000019116587],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993865,0.00004345588,0.00016898967,0.00018036111,0.0000940587,0.00012666557],"domain_scores_gemma":[0.99977297,0.00011888727,0.00005474546,0.000027231872,0.000016157897,0.000010000578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481653,0.000060517486,0.0001356966,0.000022402723,0.000110994886,0.000036445446,0.0001527786,0.000031203803,0.0000028911172],"category_scores_gemma":[0.000020621439,0.000019559953,0.000010711109,0.00035379236,0.00028542252,0.000041109186,0.000029195771,0.000055586333,5.575795e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010437996,0.00017747935,0.4787608,0.000065326654,0.0000018519988,7.330084e-7,0.00036116128,0.000011547616,0.49554574,0.017116372,0.0001279908,0.0077266116],"study_design_scores_gemma":[0.00007512232,0.00012158994,0.9954597,0.00003033288,0.0000013060137,9.2841657e-7,0.0007768945,0.00015187326,0.0027969105,0.00024799534,0.00029582443,0.000041532167],"about_ca_topic_score_codex":0.000077011784,"about_ca_topic_score_gemma":0.00007779626,"teacher_disagreement_score":0.5166989,"about_ca_system_score_codex":0.0000073600504,"about_ca_system_score_gemma":0.000007991295,"threshold_uncertainty_score":0.10516512},"labels":[],"label_agreement":null},{"id":"W4413265575","doi":"10.3390/app15158515","title":"Nonlinear Vibration and Post-Buckling Behaviors of Metal and FGM Pipes Transporting Heavy Crude Oil","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Nonlinear system; Materials science; Pipeline transport; Galerkin method; Vibration; Structural engineering; Corrosion; Discretization; Stress (linguistics); Beam (structure); Mechanics; Composite material; Finite element method; Engineering; Mechanical engineering; Mathematics; Physics","score_opus":0.005317869556025806,"score_gpt":0.21505856174682852,"score_spread":0.2097406921908027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413265575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205637,0.0004832734,0.006222352,0.000061288396,0.00007003414,0.000034729997,0.0000032828218,0.0001047535,0.00096389576],"genre_scores_gemma":[0.99332917,0.000044086937,0.006573353,0.000016772903,0.0000118001135,0.0000047836525,0.0000018726454,0.0000044616163,0.000013695894],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994366,0.0000028482395,0.00018063678,0.00014472014,0.00010365006,0.00013152818],"domain_scores_gemma":[0.99984354,0.000038710805,0.000020033094,0.000056573186,0.000011065149,0.000030081059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015114491,0.000088754314,0.00013365193,0.00009361266,0.000100986,0.000035444024,0.00007651276,0.000052394487,0.000002415948],"category_scores_gemma":[0.000012619076,0.000077550976,0.000018081135,0.00021315498,0.00014103358,0.00007627122,0.000013131387,0.00008732072,1.2433325e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006038505,0.000013163484,0.00043581906,0.00021400118,0.00002052391,8.065187e-7,0.000477383,0.07385065,0.8856429,0.008550845,0.000004302359,0.030783566],"study_design_scores_gemma":[0.0011133829,0.00022932483,0.08758237,0.0002897534,0.0002445977,0.000019492087,0.003314388,0.207584,0.69369125,0.004353242,0.0005383604,0.001039846],"about_ca_topic_score_codex":0.000029802495,"about_ca_topic_score_gemma":0.000022659857,"teacher_disagreement_score":0.19195166,"about_ca_system_score_codex":0.000004954264,"about_ca_system_score_gemma":0.000011037468,"threshold_uncertainty_score":0.3162437},"labels":[],"label_agreement":null},{"id":"W4413265622","doi":"10.3390/app15158518","title":"Innovative Valorization of Wood Panel Waste into Activated Biochar for Efficient Phenol Adsorption","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Technologique des Résidus Industriels; Cégep de l'Abitibi Témiscamingue; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Centre Technologique des Résidus Industriels","keywords":"Biochar; Adsorption; Pyrolysis; Langmuir adsorption model; Chemistry; Phenol; Aqueous solution; Wastewater; Pulp and paper industry; Nuclear chemistry; Environmental chemistry; Waste management; Environmental engineering; Environmental science; Organic chemistry","score_opus":0.019063689212550142,"score_gpt":0.2558895355168264,"score_spread":0.23682584630427628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413265622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574136,0.000011962437,0.032680407,0.00031732878,0.00019441832,0.0005494866,0.000011974306,0.00005114759,0.008769648],"genre_scores_gemma":[0.9969384,0.000004127086,0.0023890156,0.00024205714,0.000021864915,0.00003963284,0.000013359784,0.000004938717,0.0003466056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987241,0.000020838459,0.0003014941,0.00038328863,0.00034863432,0.00022161525],"domain_scores_gemma":[0.99954414,0.000053251028,0.00019502845,0.00013188964,0.000037417954,0.00003828426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043890887,0.00013256162,0.00015033099,0.00015994508,0.00023803927,0.000028736016,0.0002799093,0.00006448944,0.00023418311],"category_scores_gemma":[0.000043418895,0.00010702999,0.000043188345,0.0022256863,0.0006073073,0.00010547775,0.000111525806,0.000059193375,0.00006848915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004614518,0.00008195429,0.00019115664,0.000011736116,0.0000073253077,3.431594e-8,0.00034828726,0.0030116106,0.967262,0.01984362,0.0002634813,0.008932648],"study_design_scores_gemma":[0.00050713355,0.00009029459,0.0007716575,0.000018803361,0.000010622677,4.5112293e-7,0.0011351196,0.0054038917,0.9873401,0.0034821574,0.0010849396,0.0001548077],"about_ca_topic_score_codex":0.000028597216,"about_ca_topic_score_gemma":0.00000744722,"teacher_disagreement_score":0.039524775,"about_ca_system_score_codex":0.0000929345,"about_ca_system_score_gemma":0.000041034018,"threshold_uncertainty_score":0.43645564},"labels":[],"label_agreement":null},{"id":"W4413401479","doi":"10.3390/app15169158","title":"Effects of Petrophysical Parameters on Sedimentary Rock Strength Prediction: Implications of Machine Learning Approaches","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan","funders":"","keywords":"Petrophysics; Geology; Sedimentary rock; Geotechnical engineering; Geochemistry; Porosity","score_opus":0.009911324590182964,"score_gpt":0.2102702664148992,"score_spread":0.20035894182471625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413401479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709919,0.00020558127,0.014412614,0.00016461733,0.00007925832,0.00014508993,0.0000067537276,0.00010498307,0.013889173],"genre_scores_gemma":[0.9991183,0.000021896809,0.00076096907,0.000013893476,0.0000138237165,0.00002442978,0.0000061405353,0.0000037460288,0.00003677538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994109,0.000015112872,0.00015149971,0.00015243259,0.00015512545,0.00011492613],"domain_scores_gemma":[0.9995965,0.00022363814,0.000034740184,0.00011096102,0.000006955724,0.000027201699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009136169,0.00008036352,0.0001552475,0.00014112689,0.000098531615,0.000009323598,0.00017526247,0.00002975199,0.000004267093],"category_scores_gemma":[0.0000139987915,0.00006329197,0.000055904635,0.00049794576,0.00009657043,0.000029677696,0.000025388808,0.0001216373,0.0000020733116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000382868,0.000056578232,0.0009208599,0.000108272405,0.00007567346,9.742411e-8,0.00010463938,0.9877841,0.006594704,0.0006207546,0.000086611886,0.0036439174],"study_design_scores_gemma":[0.00029503094,0.00013594047,0.0130350925,0.000066691835,0.000116843345,2.6441876e-7,0.00027266316,0.63553625,0.34958586,0.00056089263,0.00026795935,0.00012648005],"about_ca_topic_score_codex":0.0000333804,"about_ca_topic_score_gemma":0.000002084779,"teacher_disagreement_score":0.35224777,"about_ca_system_score_codex":0.000017404385,"about_ca_system_score_gemma":0.000012923918,"threshold_uncertainty_score":0.25809714},"labels":[],"label_agreement":null},{"id":"W4413481029","doi":"10.3390/app15179276","title":"Automated Segmentation and Quantification of Histology Fragments for Enhanced Macroscopic Reporting","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vitalité Health Network; Université de Moncton","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.03127235523181817,"score_gpt":0.34892669497449885,"score_spread":0.3176543397426807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413481029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3035644,0.000042951397,0.69443345,0.00018168462,0.00032719277,0.0002488647,4.2510896e-7,0.0001114146,0.0010896303],"genre_scores_gemma":[0.9159875,0.0000047327617,0.083798006,0.00006834212,0.000005356941,0.00009137357,0.0000010280411,0.0000013320164,0.00004236318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990068,0.000013948832,0.0004037164,0.00033307393,0.00012302145,0.000119444005],"domain_scores_gemma":[0.99912137,0.00009735901,0.00056637055,0.00015091029,0.0000506601,0.000013323689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062957266,0.00005474677,0.00011022311,0.000119283686,0.00022074279,0.00004675747,0.00023481435,0.00003460428,0.0000010254255],"category_scores_gemma":[0.00007495117,0.000052478703,0.000013080735,0.0004881994,0.00016275427,0.00016032081,0.000055708962,0.000025320254,6.99703e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055658916,0.000012397486,0.00060692086,0.000048666698,0.0000057584793,5.4895786e-8,0.0003497904,0.0003212749,0.92083365,0.03856889,0.00011779747,0.039129235],"study_design_scores_gemma":[0.00019427497,0.000051914616,0.0044447873,0.000017359851,0.0000051389316,7.739243e-7,0.00012720865,0.05831062,0.92754966,0.009166545,0.00007370147,0.000058006593],"about_ca_topic_score_codex":0.000017868308,"about_ca_topic_score_gemma":0.0000093593435,"teacher_disagreement_score":0.61242306,"about_ca_system_score_codex":0.00004386141,"about_ca_system_score_gemma":0.00008595408,"threshold_uncertainty_score":0.21400194},"labels":[],"label_agreement":null},{"id":"W4413655239","doi":"10.3390/app15179354","title":"A Review on Sound Source Localization in Robotics: Focusing on Deep Learning Methods","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Artificial intelligence; Sound (geography); Computer science; Robotics; Acoustics; Physics; Robot","score_opus":0.06742366114729277,"score_gpt":0.4017132662509792,"score_spread":0.33428960510368644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413655239","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.3495677e-8,0.5399666,0.45389596,0.00007006372,0.000117211006,0.00030938548,8.026953e-8,0.00007436504,0.005566314],"genre_scores_gemma":[0.00000385867,0.868264,0.13012056,0.0013895276,0.00006131746,0.00006574024,0.00000302687,0.000012783183,0.000079150734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99669415,0.00047017037,0.0006784509,0.0011336285,0.000513696,0.00050992356],"domain_scores_gemma":[0.99775743,0.0011531804,0.0005315044,0.00044349505,0.00003797658,0.00007642369],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033148192,0.0004161574,0.0012043326,0.00065175485,0.00056406285,0.00054900185,0.0017349123,0.00016808153,0.0000060007374],"category_scores_gemma":[0.00049386686,0.00031616844,0.00017868407,0.00403058,0.0001632063,0.00021320913,0.00032433224,0.0005967675,0.00006110813],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.5813343e-7,0.000017636235,6.0589207e-7,0.009620124,0.000004830686,0.000001720656,0.000058789105,0.0053660125,4.4870214e-7,0.0028781798,0.000035893932,0.98201543],"study_design_scores_gemma":[0.00011267871,0.00010121874,1.9993304e-7,0.16246426,0.00010782274,0.0000115381645,0.00003988108,0.006183648,0.00008261002,0.005487069,0.8246508,0.0007582663],"about_ca_topic_score_codex":0.0000033775852,"about_ca_topic_score_gemma":0.000004005916,"teacher_disagreement_score":0.98125714,"about_ca_system_score_codex":0.00015127215,"about_ca_system_score_gemma":0.0004231548,"threshold_uncertainty_score":0.999929},"labels":[],"label_agreement":null},{"id":"W4413683538","doi":"10.3390/app15179351","title":"An Open-Source Virtual Reality Traffic Co-Simulation for Enhanced Traffic Safety Assessment","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Open source; Computer science; Human–computer interaction; Operating system; Software","score_opus":0.01885760183291785,"score_gpt":0.3152598325152656,"score_spread":0.2964022306823478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413683538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29194394,0.000025786849,0.6537315,0.00018346953,0.00036836337,0.0017624745,0.000015272448,0.00064700574,0.05132216],"genre_scores_gemma":[0.9978128,0.0000074625104,0.0015215927,0.00012152247,0.00004538662,0.00024338595,0.000025671285,0.000010179539,0.00021201558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988006,0.00002212302,0.0002885378,0.00038604703,0.00020775296,0.00029499177],"domain_scores_gemma":[0.999462,0.0001888445,0.00003964653,0.0002295569,0.000020492575,0.00005943864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008747727,0.00015086983,0.00020851249,0.00010078982,0.00035548204,0.00023352558,0.0006037525,0.000051189687,0.0000270817],"category_scores_gemma":[0.000007399318,0.00013908387,0.000036545593,0.00034782826,0.00010022196,0.0002075394,0.000040820476,0.00007396113,0.0000049570713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003323343,0.00004510485,5.568841e-7,0.000015046314,0.000015635309,5.9131224e-8,0.00013804184,0.74617654,0.0026600463,0.012553252,0.00039266126,0.23796985],"study_design_scores_gemma":[0.0014969474,0.00012564701,0.0012112425,0.000011612166,0.000024919122,5.4459697e-8,0.0006982998,0.9699856,0.00053052115,0.00011719184,0.025597855,0.00020010339],"about_ca_topic_score_codex":0.0000040867517,"about_ca_topic_score_gemma":0.00008191252,"teacher_disagreement_score":0.70586884,"about_ca_system_score_codex":0.00008592986,"about_ca_system_score_gemma":0.000064457636,"threshold_uncertainty_score":0.5671676},"labels":[],"label_agreement":null},{"id":"W4413794335","doi":"10.3390/app15179397","title":"Machine Learning in Differentiated Thyroid Cancer Recurrence and Risk Prediction","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; St. Francis Xavier University; University of Toronto","funders":"Nova Scotia Health Authority; Natural Sciences and Engineering Research Council of Canada; Compute Canada; Canada Foundation for Innovation; Nova Scotia Research Innovation Trust","keywords":"Feature selection; Machine learning; Artificial intelligence; Computer science; Random forest; Logistic regression; Gradient boosting","score_opus":0.013143171511402534,"score_gpt":0.2796013197591102,"score_spread":0.26645814824770764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413794335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98522115,0.008227304,0.000052957148,0.0005483471,0.00011302812,0.00025374012,0.000011264857,0.00004387954,0.005528322],"genre_scores_gemma":[0.98924714,0.010237342,0.00009745241,0.000083466475,0.000018257597,0.00013626744,0.0000062245413,0.0000026840614,0.00017113495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992478,0.00002057083,0.0001352139,0.00029726524,0.00014208208,0.000157091],"domain_scores_gemma":[0.9997661,0.000060771366,0.000050020673,0.00006945467,0.00001292975,0.000040700637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019022128,0.00008702987,0.0001486998,0.00012931127,0.00017086601,0.000027753154,0.000051053747,0.00003235913,0.00003067063],"category_scores_gemma":[0.000022958558,0.00006304378,0.000016075219,0.0004741455,0.00014338964,0.00003883881,0.000034656743,0.00014957105,0.0000023214036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003774327,0.000073160234,0.9567143,0.000016814638,0.000021235795,0.0000011681293,0.00016335819,0.000114560986,0.0011533976,0.0010816557,0.00014641322,0.040476233],"study_design_scores_gemma":[0.0013855646,0.00016410497,0.990214,0.00015517643,0.00007798837,0.0000013669878,0.00015570254,0.003303196,0.002965227,0.00063264376,0.00087709754,0.00006796546],"about_ca_topic_score_codex":0.0010588102,"about_ca_topic_score_gemma":0.00064692,"teacher_disagreement_score":0.04040827,"about_ca_system_score_codex":0.000061451065,"about_ca_system_score_gemma":0.00007870194,"threshold_uncertainty_score":0.25708508},"labels":[],"label_agreement":null},{"id":"W4413817380","doi":"10.3390/app15179503","title":"Local Contextual Attention for Enhancing Kernel Point Convolution in 3D Point Cloud Semantic Segmentation","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Point cloud; Segmentation; Computer science; Point (geometry); Kernel (algebra); Artificial intelligence; Mathematics; Geometry; Pure mathematics","score_opus":0.011717686816046435,"score_gpt":0.2484645976393644,"score_spread":0.23674691082331797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413817380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31547698,0.000080455444,0.6830242,0.00007771429,0.00014835873,0.00014017051,0.0000013174373,0.00006380652,0.0009869803],"genre_scores_gemma":[0.9978742,0.000011306973,0.001874207,0.00007416072,0.000029020559,0.00005391548,0.0000107528185,0.0000050160133,0.00006742111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918735,0.000010751349,0.00025378293,0.00021368932,0.00013100528,0.00020344878],"domain_scores_gemma":[0.999785,0.00007423851,0.000028308035,0.000067888745,0.000022862021,0.000021683314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057070126,0.00009049728,0.00013820665,0.00018230286,0.00012899165,0.00004937129,0.000095743315,0.000043497726,0.00000844267],"category_scores_gemma":[0.000015750149,0.00008709292,0.00004372812,0.00039210968,0.00008242456,0.000101184625,0.000015475473,0.00006218931,0.000014959139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017946411,0.00003913272,0.0006022958,0.00015183771,0.00004101311,6.2997134e-7,0.00089240936,0.8169514,0.14916201,0.009015549,0.00038568766,0.022740087],"study_design_scores_gemma":[0.00036801782,0.0000158582,0.00033341962,0.00006194945,0.000024236175,3.3748918e-7,0.0034929772,0.978151,0.014919702,0.002509846,0.000012855574,0.00010978413],"about_ca_topic_score_codex":0.000059884715,"about_ca_topic_score_gemma":0.00041084306,"teacher_disagreement_score":0.6823972,"about_ca_system_score_codex":0.0000987858,"about_ca_system_score_gemma":0.000026736056,"threshold_uncertainty_score":0.3551546},"labels":[],"label_agreement":null},{"id":"W4413832748","doi":"10.3390/app15179474","title":"Porous Biomass Carbon Composites Derived from Canadian Goldenrod and Their Excellent Microwave Absorption","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Materials science; Composite material; Microwave; Biomass (ecology); Carbon fibers; Porosity; Pulp and paper industry; Composite number; Agronomy; Computer science; Engineering","score_opus":0.00966557793869625,"score_gpt":0.21440477056946047,"score_spread":0.20473919263076423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413832748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98374796,0.00058072025,0.00011184063,0.0008133486,0.00060426875,0.00030864222,0.000027542965,0.000077653225,0.013728029],"genre_scores_gemma":[0.99747324,0.000028900078,0.0017743986,0.00040514674,0.00006596975,0.00003342411,0.0000146562725,0.000008634305,0.0001956293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983493,0.0000748495,0.00029537952,0.000612435,0.00018519358,0.00048283505],"domain_scores_gemma":[0.9993316,0.00012602909,0.00010639503,0.000250199,0.000040261133,0.00014551186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005182904,0.0002118385,0.0002550826,0.00021669829,0.00037541604,0.0003586721,0.0004202449,0.000101527294,0.00019696935],"category_scores_gemma":[0.00001710815,0.00017384655,0.000022983297,0.00033428997,0.00057016214,0.00008383208,0.00011064329,0.00006221442,0.000060893843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101594205,0.000013234021,0.00038463465,0.000008636152,0.0000057456487,0.0000015990696,0.00028524126,0.0000042884653,0.9969872,0.0015880015,0.00027768608,0.00043356494],"study_design_scores_gemma":[0.00022801502,0.000052226686,0.008706022,0.00002238873,0.000012859556,0.0000036345934,0.00033229846,0.00012811238,0.9809711,0.009070699,0.00027477558,0.00019786147],"about_ca_topic_score_codex":0.054778386,"about_ca_topic_score_gemma":0.03282045,"teacher_disagreement_score":0.02195794,"about_ca_system_score_codex":0.00009929145,"about_ca_system_score_gemma":0.00024754464,"threshold_uncertainty_score":0.98482805},"labels":[],"label_agreement":null},{"id":"W4413916460","doi":"10.3390/app15179594","title":"Performance Optimization of Shrouded Rotors: Fixed vs. Variable Pitch in Hover and Forward Flight","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Aerospace engineering; Variable (mathematics); Computer science; Engineering; Mathematics","score_opus":0.0031998532093530504,"score_gpt":0.19101026917187722,"score_spread":0.18781041596252418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413916460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89013046,0.00004631069,0.09114819,0.000039457256,0.00011869028,0.00015839477,0.0000036117772,0.00003252861,0.01832236],"genre_scores_gemma":[0.9813789,0.00004247005,0.018497476,0.000023231994,0.0000063398456,0.000012838518,0.0000048106913,0.000003087337,0.000030833256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995344,0.0000028808229,0.00014129543,0.00011652037,0.00010115587,0.00010374526],"domain_scores_gemma":[0.99985445,0.000048564278,0.000015437983,0.000051909115,0.000016069735,0.000013552623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017067847,0.000059957874,0.000094448646,0.00010945532,0.000049286475,0.000026371816,0.00009985108,0.000028573724,0.0000072335383],"category_scores_gemma":[0.0000059895283,0.000056858098,0.000007768974,0.0005431812,0.000056064662,0.00009047539,0.000031702566,0.000039059403,5.3064116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030780513,0.0000061672195,0.0026850451,0.000034117915,0.0000030545607,4.513536e-8,0.000046760393,0.9676004,0.00096566573,0.02815106,0.000026014135,0.00047861176],"study_design_scores_gemma":[0.00014730214,0.000009981771,0.007896964,0.000023810697,0.0000025093982,1.6930716e-7,0.000020329036,0.99060553,0.0002570277,0.0009217076,0.000055440327,0.000059206784],"about_ca_topic_score_codex":0.0000113595415,"about_ca_topic_score_gemma":0.000010944403,"teacher_disagreement_score":0.09124846,"about_ca_system_score_codex":0.000023592962,"about_ca_system_score_gemma":0.00003013441,"threshold_uncertainty_score":0.2318606},"labels":[],"label_agreement":null},{"id":"W4413926539","doi":"10.3390/app15179571","title":"A Narrative Review and Gap Analysis of Blockchain for Transparency, Traceability, and Trust in Data-Driven Supply Chains","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Traceability; Blockchain; Transparency (behavior); Supply chain; Business; Computer science; Computer security; Software engineering; Marketing","score_opus":0.06547233611964667,"score_gpt":0.36189204056341395,"score_spread":0.2964197044437673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413926539","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007251521,0.9883051,0.007498323,0.0010222646,0.000019864203,0.0025029285,0.0003088365,0.00006288013,0.00020729087],"genre_scores_gemma":[0.0019447765,0.98343617,0.013544809,0.00010186849,0.0000055229593,0.0008828975,0.00005862015,0.000004645118,0.00002068902],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99699795,0.00011643685,0.0008699114,0.0014868923,0.00021556471,0.00031321964],"domain_scores_gemma":[0.99739784,0.0008015056,0.00041099545,0.0012615779,0.00005123744,0.00007681538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022312044,0.00033033788,0.0022326328,0.0009245446,0.00024455463,0.000056562494,0.0027545525,0.00024744606,0.0000055318646],"category_scores_gemma":[0.00011730854,0.00026226774,0.00015443919,0.005498496,0.0009623129,0.000085431166,0.00061030744,0.00025743718,2.0392406e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014307162,0.00015346377,0.000055540124,0.023098152,0.00035573478,7.175702e-7,0.0017904679,0.000011227458,6.102954e-7,0.24628763,0.0002208918,0.7280241],"study_design_scores_gemma":[0.0024074747,0.0008281002,0.0005578057,0.047154546,0.03669081,0.000054197128,0.0033191387,0.3212154,0.00001781947,0.07529052,0.5068873,0.0055768644],"about_ca_topic_score_codex":0.000034213055,"about_ca_topic_score_gemma":0.00068424275,"teacher_disagreement_score":0.7224473,"about_ca_system_score_codex":0.000026037716,"about_ca_system_score_gemma":0.00043034359,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W4413991405","doi":"10.3390/app15179714","title":"Functional Brain Connectivity During Stress Induction and Recovery: Normal Subjects","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Konkuk University; National Research Foundation","keywords":"Neuroscience; Psychology; Medicine; Physical medicine and rehabilitation","score_opus":0.03006928708443004,"score_gpt":0.2514677800867447,"score_spread":0.22139849300231465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413991405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969453,0.000038300026,0.00038682774,0.00620208,0.00079738564,0.00021898754,0.000010276726,0.00011773994,0.022775454],"genre_scores_gemma":[0.99710554,0.000011986619,0.00006866285,0.001985173,0.00010520838,0.000056053148,7.728032e-7,0.0000050951176,0.0006615279],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983047,0.00008086355,0.00014841554,0.00078139023,0.00037643488,0.00030817572],"domain_scores_gemma":[0.9959812,0.0037328359,0.000072304916,0.00013819538,0.00002889277,0.00004655284],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005182622,0.00015510501,0.00015904268,0.00025525672,0.0014305338,0.00014575492,0.00016197942,0.00005893159,0.00003611667],"category_scores_gemma":[0.002775309,0.00014411527,0.000032972246,0.0009692576,0.0007600027,0.00045218747,0.00021816652,0.00017750221,0.000019159796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022023729,0.00011818285,0.01813483,0.000060397982,0.00002045459,0.0000041641206,0.0002634323,0.0011999847,0.85185957,0.11968116,0.0034470807,0.004990519],"study_design_scores_gemma":[0.00073279295,0.000108926855,0.3315068,0.000031122298,0.000011280085,0.000025185833,0.0009205259,0.00022102181,0.6484082,0.01680743,0.0009174678,0.00030925553],"about_ca_topic_score_codex":0.000032457127,"about_ca_topic_score_gemma":0.000095142204,"teacher_disagreement_score":0.31337196,"about_ca_system_score_codex":0.00006624978,"about_ca_system_score_gemma":0.000108934786,"threshold_uncertainty_score":0.99986947},"labels":[],"label_agreement":null},{"id":"W4414020770","doi":"10.3390/app15179760","title":"Numerical Analysis of Synergistic Ground Control Efficacy via Integrated Mining-Backfill-Roof Contact in Metallic Deposits","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Roof; Geotechnical engineering; Mining engineering; Geology; Engineering; Civil engineering","score_opus":0.011753959284958157,"score_gpt":0.24154174584185614,"score_spread":0.229787786556898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414020770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7317898,0.00021455367,0.26566562,0.000012930731,0.00010321589,0.00011801194,0.0000022918282,0.00004745346,0.0020461038],"genre_scores_gemma":[0.99922776,0.00001019214,0.00066402805,0.000046768346,0.0000061932155,0.00002187727,0.000005278997,0.0000065489826,0.000011358396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989056,0.000019664634,0.00037069712,0.00025843878,0.00019457444,0.0002510288],"domain_scores_gemma":[0.9994886,0.00024315206,0.00005075164,0.00014475264,0.000027194736,0.00004555186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003263936,0.00014051447,0.00044451287,0.0005261433,0.00007227137,0.000041280175,0.00028685416,0.000060368617,0.000013375853],"category_scores_gemma":[0.000035750847,0.00011922163,0.000087304885,0.0025731686,0.000038162438,0.000051144696,0.000020666837,0.000098818986,0.000002105455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017964981,0.00004908161,0.00030061862,0.000021147165,0.0004536504,0.0000024731112,0.00018288348,0.86660695,0.113243796,0.014175856,0.000010988315,0.004934584],"study_design_scores_gemma":[0.0003951147,0.000024496034,0.0018153606,0.000024071473,0.00030073198,2.2162396e-7,0.00012778834,0.98577875,0.011082623,0.0003007962,0.000020732881,0.00012930532],"about_ca_topic_score_codex":0.0001708703,"about_ca_topic_score_gemma":0.00024631567,"teacher_disagreement_score":0.26743793,"about_ca_system_score_codex":0.000045514702,"about_ca_system_score_gemma":0.00003899538,"threshold_uncertainty_score":0.4861717},"labels":[],"label_agreement":null},{"id":"W4414093400","doi":"10.3390/app15189858","title":"Light Modulation and Biophoton Emissions: A Proof-of-Principle Study of Direct and Proximal Cellular Effects","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Viability assay; Stimulation; Blue light; Two-photon excitation microscopy; Cell culture; Photic Stimulation; Cell; Green-light","score_opus":0.010550457583529725,"score_gpt":0.27338938903809873,"score_spread":0.262838931454569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414093400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951962,0.0002321113,0.00005375081,0.00008934633,0.00003604362,0.00091886066,2.9367905e-7,0.000009462671,0.0034638834],"genre_scores_gemma":[0.9994657,0.0000058840064,0.00042349298,0.00002348992,0.000011343298,0.000023213583,3.6383977e-7,0.0000017079885,0.000044816214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994487,0.000014539138,0.00012022991,0.00019651662,0.00014105007,0.0000789701],"domain_scores_gemma":[0.9997308,0.00007095952,0.00005312402,0.000094884315,0.000019476,0.000030707408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002128701,0.000066232016,0.00018392196,0.00006947528,0.00007678923,0.000009502443,0.000042778207,0.00003970167,0.0000012849378],"category_scores_gemma":[0.000025341446,0.000042150936,0.000012136215,0.00032100896,0.00011001474,0.000026181164,0.000053390373,0.000042008614,8.460736e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048015467,0.00026217118,0.016588226,0.0003768532,0.000015203022,0.0000011138621,0.00042528575,0.0000025914298,0.97148806,0.00076290284,0.0000072343264,0.010022343],"study_design_scores_gemma":[0.0006036546,0.0008300475,0.03429611,0.00011366264,0.000046655576,4.461344e-7,0.00024417051,0.0017098659,0.9617283,0.0003366352,0.000042093605,0.000048384125],"about_ca_topic_score_codex":0.00002569207,"about_ca_topic_score_gemma":0.0000021221927,"teacher_disagreement_score":0.017707884,"about_ca_system_score_codex":0.0000034123045,"about_ca_system_score_gemma":0.00003179879,"threshold_uncertainty_score":0.17188652},"labels":[],"label_agreement":null},{"id":"W4414093955","doi":"10.3390/app15179791","title":"Advances in Bridge Design and Construction: Technologies and Applications","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; École de Technologie Supérieure","funders":"","keywords":"Bridge (graph theory); Emerging technologies; Design elements and principles; Key (lock)","score_opus":0.00825063074816559,"score_gpt":0.23202086572815128,"score_spread":0.2237702349799857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414093955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016762108,0.0041065146,0.9703002,0.00013682691,0.00004020927,0.00014731752,6.3179675e-7,0.0003760029,0.008130215],"genre_scores_gemma":[0.9824635,0.0010335196,0.016433034,0.0000090938065,0.000003566192,0.00005120544,2.648328e-7,0.000001363272,0.000004500958],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970853,0.000002107227,0.00007109232,0.00011119656,0.000036292466,0.0000707826],"domain_scores_gemma":[0.99988854,0.000045682405,0.000006729989,0.00004640236,0.000003852944,0.000008803019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006289092,0.000049552265,0.00006521462,0.00015307954,0.000070905364,0.000033309847,0.00005727167,0.00002523216,0.0000015054945],"category_scores_gemma":[0.000004296714,0.000043610577,0.0000042861147,0.00056228763,0.00026903604,0.00008266771,0.000013523118,0.000041440213,5.8335314e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.406797e-7,9.997907e-7,0.00059272855,0.000026815904,0.0000039862302,1.0040184e-7,0.00003240225,0.09466969,0.0012556334,0.17644373,0.000019181383,0.726954],"study_design_scores_gemma":[0.0006791562,0.000030560663,0.01810489,0.00007240674,0.00004052756,0.000021674261,0.006881027,0.7322465,0.042457167,0.18099633,0.01777221,0.0006975505],"about_ca_topic_score_codex":0.0000016018416,"about_ca_topic_score_gemma":0.0000045156785,"teacher_disagreement_score":0.96570134,"about_ca_system_score_codex":0.000007199074,"about_ca_system_score_gemma":0.0000055662986,"threshold_uncertainty_score":0.17783877},"labels":[],"label_agreement":null},{"id":"W4414093970","doi":"10.3390/app15189852","title":"Effect of Acute Bout of 10 Sessions of Dance Aerobic Exercise Intervention on Blood Pressure Indices Among Ethnic Population with Elevated Cardiovascular Risk","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Coalition for Research in Women's Health","funders":"","keywords":"Blood pressure; Aerobic exercise; Dance; Ethnic group; Heart rate; Diastole; Population","score_opus":0.0058991511782268465,"score_gpt":0.27520349168331587,"score_spread":0.269304340505089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414093970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575776,0.0025857943,0.00028099964,0.0000037635061,0.000060122973,0.00072084914,0.000011311732,0.000021686667,0.00055770075],"genre_scores_gemma":[0.99944746,0.00025100404,0.00014354452,0.0000026757805,0.00001145666,0.000059082784,0.000028911894,0.0000068806753,0.000048963473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851507,0.00013320088,0.0003414839,0.0003578048,0.0004729051,0.00017953786],"domain_scores_gemma":[0.999025,0.00011380461,0.0002867624,0.00045460215,0.00008339628,0.000036421607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013255015,0.00014800436,0.0008767545,0.0002573244,0.00008291316,0.0000048103725,0.00017907089,0.00010259119,0.000010670497],"category_scores_gemma":[0.00004698782,0.0000983085,0.0004711511,0.00095744856,0.00044251262,0.00006872445,0.00005906971,0.00015141815,0.0000010620197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025027495,0.0021999797,0.15876119,0.010513535,0.0384553,0.000023032668,0.0024681005,0.05427687,0.5223716,0.0026549515,0.00016151225,0.18308647],"study_design_scores_gemma":[0.002840318,0.0014315713,0.32926822,0.0017034633,0.012312866,0.0000025535803,0.00014413982,0.0002019957,0.6517922,0.00018200662,0.000004292677,0.000116321105],"about_ca_topic_score_codex":0.0005632172,"about_ca_topic_score_gemma":0.000019559524,"teacher_disagreement_score":0.18297015,"about_ca_system_score_codex":0.000007969968,"about_ca_system_score_gemma":0.000046512047,"threshold_uncertainty_score":0.40089044},"labels":[],"label_agreement":null},{"id":"W4414122383","doi":"10.3390/app15189963","title":"Evaluating Cognitive Impairment in Idiopathic Normal-Pressure Hydrocephalus Through Rey Auditory Verbal Learning Test","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Verbal memory; Cognition; Verbal learning; Cognitive impairment; Neuropsychology; Memory impairment; Psychomotor learning; Dementia; Neuropsychological assessment","score_opus":0.0378109512088877,"score_gpt":0.33622628747977745,"score_spread":0.29841533627088973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414122383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9220074,0.0005018652,0.00015956903,0.0002681826,0.0005958085,0.0005555404,0.000005833123,0.00021972775,0.07568608],"genre_scores_gemma":[0.9979246,0.00006175491,0.000117658485,0.0010191258,0.00017470281,0.00010738917,0.0000010802374,0.000016189944,0.0005774438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967328,0.00016463209,0.00046913058,0.0010468329,0.0008644946,0.000722116],"domain_scores_gemma":[0.9986976,0.0008255146,0.00017050849,0.00018186454,0.000046422152,0.000078123005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015765983,0.00027666293,0.0003312634,0.00021843285,0.0010756108,0.00019357806,0.00065995404,0.00011150852,0.000066793036],"category_scores_gemma":[0.0013843884,0.00025583454,0.00007196917,0.0017053438,0.0007537086,0.00042950193,0.00034161014,0.00056036154,0.00015842101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031747544,0.0007502533,0.019588606,0.00028539717,0.000019009807,0.00006529005,0.007549687,0.022367124,0.9157657,0.02120364,0.00055971695,0.011528091],"study_design_scores_gemma":[0.008199507,0.0037938864,0.055291,0.0020972053,0.00025139764,0.00008809432,0.010737536,0.16648424,0.7215089,0.024745649,0.0043518306,0.0024507465],"about_ca_topic_score_codex":0.00008860586,"about_ca_topic_score_gemma":0.000032886037,"teacher_disagreement_score":0.19425681,"about_ca_system_score_codex":0.00009302957,"about_ca_system_score_gemma":0.00042219134,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W4414122447","doi":"10.3390/app15189968","title":"Plasma-Based Amorphous Carbon Coatings on Polymeric Substrates for Biomedical Applications: A Critical Review Focused on Adhesion","year":2025,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plasmionique (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amorphous carbon; Adhesion; Coating; Carbon fibers; Substrate (aquarium); Amorphous solid; Corrosion","score_opus":0.06615596644888339,"score_gpt":0.3766916081677636,"score_spread":0.3105356417188802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414122447","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014432303,0.9884858,0.00024323021,0.00046455994,0.0005399124,0.005109054,0.0004032013,0.00024466633,0.0043652165],"genre_scores_gemma":[0.0015185017,0.9823195,0.0016305982,0.0011264338,0.00036220258,0.012697789,0.00020040761,0.00006603195,0.00007855548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946258,0.0002888943,0.0010888169,0.0016001785,0.0014023132,0.0009939868],"domain_scores_gemma":[0.9934196,0.005056994,0.00040552582,0.0007082355,0.00010405357,0.000305631],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025386566,0.000677316,0.0018976367,0.00053554843,0.00057252316,0.00038221167,0.0016042314,0.00035957905,0.00018909111],"category_scores_gemma":[0.0007859396,0.00047780233,0.00036768307,0.0016125792,0.0013885271,0.0000535475,0.00012423708,0.00030974825,0.00021156928],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010786003,0.0007029662,2.3203647e-7,0.1161912,0.000016136317,0.000010912266,0.0000117404215,0.000003849387,0.0097931335,0.013175561,0.0023519273,0.8576345],"study_design_scores_gemma":[0.0011382992,0.0022710273,2.9278735e-7,0.123240426,0.0009242586,0.000008366791,0.00003926913,0.00016365096,0.077229224,0.001802246,0.79114515,0.002037821],"about_ca_topic_score_codex":0.000033389922,"about_ca_topic_score_gemma":0.000002789681,"teacher_disagreement_score":0.85559666,"about_ca_system_score_codex":0.00013915777,"about_ca_system_score_gemma":0.0021170324,"threshold_uncertainty_score":0.99976736},"labels":[],"label_agreement":null},{"id":"W4414128240","doi":"10.3390/app15189947","title":"Cotton Yield Prediction with Gaussian Distribution Sampling and Variational AutoEncoder","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Autoencoder; Gaussian; Discriminative model; Mean squared error; Covariance; Pattern recognition (psychology); Feature (linguistics); Distribution (mathematics); Sampling (signal processing)","score_opus":0.016868199575326308,"score_gpt":0.2112572963404358,"score_spread":0.1943890967651095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414128240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765923,0.0000697315,0.0029603702,0.0045953984,0.00013560684,0.00022080052,0.00005062822,0.00009656328,0.015278592],"genre_scores_gemma":[0.9988111,0.000008858798,0.0005464806,0.00027707548,0.000116081064,0.000020462032,0.00008103865,1.6233848e-7,0.00013871733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992982,0.000008939792,0.00009837725,0.0002615529,0.00017846026,0.00015444399],"domain_scores_gemma":[0.9997353,0.00014554916,0.000037987124,0.000020140238,0.000024479654,0.00003656737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019098373,0.000078932244,0.000074540214,0.00000841787,0.0005608305,0.00013049028,0.00010378192,0.00005084154,0.000046227076],"category_scores_gemma":[0.0000137919105,0.00002461308,0.000014249401,0.0005179723,0.0001359976,0.000120629564,0.00003067415,0.000060406535,0.0000038502317],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010085837,0.00021603359,0.18167028,0.000021500828,0.00005063503,0.0000013809414,0.0003758181,0.00074109243,0.28105015,0.42942312,0.009389474,0.096959665],"study_design_scores_gemma":[0.00008668941,0.000108914726,0.98351216,0.00003215457,0.000015335097,0.000003416899,0.0005164349,0.00074619893,0.0016563081,0.0036058323,0.009604046,0.00011251379],"about_ca_topic_score_codex":0.00008324783,"about_ca_topic_score_gemma":0.00025504208,"teacher_disagreement_score":0.80184186,"about_ca_system_score_codex":0.000011889211,"about_ca_system_score_gemma":0.000013016177,"threshold_uncertainty_score":0.43135116},"labels":[],"label_agreement":null},{"id":"W4414128867","doi":"10.3390/app15189936","title":"Changes in Frequency Domain Accelerations During Prolonged Running on Different Surfaces","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministerio de Universidades; Ministerio de Ciencia, Innovación y Universidades","keywords":"Jump; Treadmill; Frequency domain; Countermovement; Time domain; Accelerometer","score_opus":0.020046205771072054,"score_gpt":0.23915848741355059,"score_spread":0.21911228164247853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414128867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678437,0.00010002399,0.00010899876,0.00023625999,0.00020119101,0.00017498119,0.000009085119,0.00016021881,0.031165512],"genre_scores_gemma":[0.9986303,0.000041649062,0.0011269281,0.00004371833,0.000016669233,0.00009728753,0.000004071319,0.0000046023397,0.000034783756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927855,0.000008526219,0.0001177085,0.00022376193,0.00012719918,0.00024428222],"domain_scores_gemma":[0.9997852,0.00005777909,0.000016585258,0.0001148771,0.0000057031302,0.000019874617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018108575,0.00011457166,0.000121912126,0.00023316525,0.00019670582,0.000091868606,0.00023716698,0.000053867072,0.000046136814],"category_scores_gemma":[0.000008579637,0.00009210594,0.000014956827,0.00051181077,0.00006635836,0.0000514201,0.000042784337,0.00011353863,0.000007796069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008738492,0.00006339015,0.013132135,0.00009791646,0.00001650969,0.000009891111,0.001750124,0.003831715,0.84657186,0.13181247,0.00018290512,0.0025223477],"study_design_scores_gemma":[0.0013764037,0.00017997123,0.33666116,0.00046088157,0.000017668333,0.0000031873142,0.0049769557,0.009960854,0.48667416,0.1577506,0.00069147506,0.0012466904],"about_ca_topic_score_codex":0.000007185919,"about_ca_topic_score_gemma":0.0006340006,"teacher_disagreement_score":0.3598977,"about_ca_system_score_codex":0.000042041414,"about_ca_system_score_gemma":0.000012913753,"threshold_uncertainty_score":0.37559712},"labels":[],"label_agreement":null},{"id":"W4414179384","doi":"10.3390/app151810065","title":"CPT-Based Shear Wave Velocity Correlation Model for Soft Soils with Graphical Assessment","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Wave velocity; Shear (geology); Shear velocity; Cone penetration test; Penetration test; Penetration (warfare); Shear stress","score_opus":0.012137021668529216,"score_gpt":0.23597392377465098,"score_spread":0.22383690210612178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414179384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028902467,0.000019868849,0.9661344,0.00019832213,0.00010187213,0.0002010005,0.0000037032396,0.00029758885,0.004140747],"genre_scores_gemma":[0.9390547,0.0000013202114,0.060710534,0.00010004927,0.00001244085,0.00007639445,0.0000047794833,0.000007204057,0.000032552354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992388,0.0000033607885,0.00012863416,0.00020849521,0.00019069872,0.00023004903],"domain_scores_gemma":[0.9996413,0.00016534889,0.0000146840775,0.00011501931,0.000020616457,0.000043026273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019994995,0.00012036378,0.00012969552,0.000102513615,0.00019161681,0.000060415285,0.00013189517,0.000085246465,0.0000027158842],"category_scores_gemma":[0.000013580836,0.000093972565,0.000035192334,0.0003644418,0.00013755035,0.000048172795,0.000010955571,0.00014859879,5.0295444e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053211734,0.0000065416853,0.0000179009,0.00002945081,0.000007880418,1.11456906e-7,0.00001230463,0.9136531,0.00057710335,0.083608165,0.00017414894,0.0019080071],"study_design_scores_gemma":[0.00024453492,0.000027665177,0.0011174151,0.00001486225,0.000012748536,3.4484333e-7,0.000019098636,0.9789472,0.0003918143,0.018961567,0.0001394102,0.00012331118],"about_ca_topic_score_codex":0.000004034063,"about_ca_topic_score_gemma":0.0000075510115,"teacher_disagreement_score":0.91015226,"about_ca_system_score_codex":0.000038676706,"about_ca_system_score_gemma":0.000085350686,"threshold_uncertainty_score":0.38320902},"labels":[],"label_agreement":null},{"id":"W4414183863","doi":"10.3390/app151810052","title":"AutoProPos: An Extension of Prototype Scattering and Positive Sampling Clustering for an Unknown Number of Clusters","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Silhouette; Cluster analysis; Pattern recognition (psychology); Subspace topology; Extension (predicate logic); Autoencoder; Image (mathematics); Parametric statistics; Binary number","score_opus":0.047046133104338805,"score_gpt":0.3798647348832161,"score_spread":0.3328186017788773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414183863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24333493,0.000024460925,0.75468004,0.0001173778,0.00009529134,0.00079940906,0.0000031469929,0.000052864634,0.00089251203],"genre_scores_gemma":[0.64548683,0.0000033396007,0.3543714,0.000044618744,0.000012416693,0.000055508113,0.0000010497956,0.0000053274343,0.000019478211],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983499,0.00003860158,0.00030634925,0.00064163713,0.00032382918,0.0003396808],"domain_scores_gemma":[0.99904406,0.00018660465,0.000129323,0.00039795818,0.00016094832,0.00008109353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083917665,0.00013750246,0.00024154899,0.00019091656,0.00030795677,0.000117643634,0.0008463756,0.000052403546,0.000001082],"category_scores_gemma":[0.0000394177,0.00012298564,0.000028364733,0.0006444662,0.0005131726,0.00066442875,0.00058634585,0.00008839345,4.9464467e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022931182,0.00019350839,0.0004953432,0.000517133,0.000031773507,0.0000014697364,0.004357269,0.018223016,0.37095836,0.06342648,0.0000042696975,0.5415621],"study_design_scores_gemma":[0.00066282053,0.0007363016,0.0031300923,0.00027793788,0.000009516003,0.000015266414,0.00077478174,0.8896386,0.089492336,0.014921621,0.000048623406,0.000292084],"about_ca_topic_score_codex":0.00005926263,"about_ca_topic_score_gemma":0.000019693334,"teacher_disagreement_score":0.8714156,"about_ca_system_score_codex":0.000031426705,"about_ca_system_score_gemma":0.00011451343,"threshold_uncertainty_score":0.50152093},"labels":[],"label_agreement":null},{"id":"W4414289325","doi":"10.3390/app151810122","title":"Model Predictive Control of Underwater Tethered Payload","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Setpoint; Model predictive control; Control theory (sociology); Controller (irrigation); Payload (computing); Stepper; Control system; Underwater","score_opus":0.01928716682471238,"score_gpt":0.23334310135042477,"score_spread":0.2140559345257124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414289325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07623948,0.00026446846,0.796836,0.00018590436,0.000041855656,0.00022078988,0.000007904651,0.00014386619,0.12605971],"genre_scores_gemma":[0.99835664,0.000012496547,0.0013741327,0.00007427243,0.000005826137,0.00003634658,5.9384337e-7,0.0000038281028,0.00013585245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946845,0.000011690778,0.0001720504,0.0001036853,0.00011995,0.00012417774],"domain_scores_gemma":[0.9997257,0.00004443,0.000022940309,0.00016801908,0.000020187219,0.00001875164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020084983,0.00006661556,0.000119897944,0.00006505896,0.000076293676,0.000025463241,0.0003291192,0.000035458892,0.00000661264],"category_scores_gemma":[5.882024e-7,0.000051110772,0.000024059656,0.00020781234,0.0001531025,0.000050237162,0.000029870374,0.000051147268,0.0000075158823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016373158,0.000033087832,0.00091919146,0.00005960709,0.00008400442,9.77512e-8,0.0012822221,0.54641926,0.41402107,0.031305064,0.0002823628,0.0055776634],"study_design_scores_gemma":[0.0004106627,0.000016506216,0.0002371987,0.000024876055,0.0000125492215,2.419097e-7,0.000941459,0.8817659,0.097521074,0.0180291,0.0009403803,0.00010007304],"about_ca_topic_score_codex":0.000008680942,"about_ca_topic_score_gemma":0.0000068999448,"teacher_disagreement_score":0.9221172,"about_ca_system_score_codex":0.000016172467,"about_ca_system_score_gemma":0.000024973951,"threshold_uncertainty_score":0.20842369},"labels":[],"label_agreement":null},{"id":"W4414310604","doi":"10.3390/app151810130","title":"The Argenta Classification for Positional Plagiocephaly in Infants: An Inter- and Intra-Rater Reliability Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Clalit Health Services","keywords":"Plagiocephaly; Reliability (semiconductor); Observational study; Inter-rater reliability; Intra-rater reliability","score_opus":0.013724674905780018,"score_gpt":0.31358972040643,"score_spread":0.29986504550065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414310604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979239,0.000059653175,0.0003627087,0.0002776347,0.000054210945,0.0004193171,0.000007933842,0.0000026579376,0.0008919876],"genre_scores_gemma":[0.99955994,0.000018560815,0.00010743662,0.000113233116,0.00001063591,0.00013053669,0.000021739139,0.0000015398741,0.0000363897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948657,0.000018628301,0.00010124502,0.00024951732,0.000050235503,0.000093802955],"domain_scores_gemma":[0.99982077,0.000019440204,0.000021137004,0.000104695275,0.000018674262,0.000015307873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719688,0.00005371423,0.000046100078,0.000020564592,0.00023502325,0.000054030606,0.00011017872,0.00002876682,0.0000013790532],"category_scores_gemma":[0.000018778865,0.00003584826,0.000011607109,0.00008580194,0.00016986727,0.000004724726,0.00003344154,0.000020573421,4.2189492e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056144694,0.0012778828,0.7894565,0.000012163874,0.00005666671,3.3962536e-7,0.00064051925,0.000031072766,0.15793936,0.014467838,0.0005143749,0.035041828],"study_design_scores_gemma":[0.0013337967,0.0005395998,0.9750048,0.000004541606,0.00001562425,4.0350164e-7,0.0045136297,0.0003780147,0.00631777,0.009724896,0.0020414118,0.00012554468],"about_ca_topic_score_codex":0.000027278322,"about_ca_topic_score_gemma":0.0003804685,"teacher_disagreement_score":0.18554826,"about_ca_system_score_codex":0.0000066964267,"about_ca_system_score_gemma":0.00003492306,"threshold_uncertainty_score":0.18076326},"labels":[],"label_agreement":null},{"id":"W4414355400","doi":"10.3390/app151810215","title":"Enhancing Accessibility in Education Through Brain–Computer Interfaces: A Scoping Review on Inclusive Learning Approaches","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Generalizability theory; Psychological intervention; Adaptability; Learning disability; Quality (philosophy); Work (physics); Inclusion (mineral)","score_opus":0.06754555150295853,"score_gpt":0.3718775718836469,"score_spread":0.30433202038068835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414355400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85483503,0.0047381325,0.026612917,0.008295829,0.0014592186,0.002782391,0.0000011965266,0.00028851992,0.10098678],"genre_scores_gemma":[0.98454684,0.00027872305,0.0030672627,0.011752953,0.00007147762,0.00012732051,8.84164e-7,0.000006860421,0.00014770211],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974086,0.00026568407,0.00050812564,0.0010812312,0.00035315767,0.00038317128],"domain_scores_gemma":[0.99829525,0.0011651296,0.00020664113,0.00027155812,0.000023032113,0.00003837936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013133748,0.0002227281,0.0003423667,0.00020928819,0.0004899213,0.000270096,0.0009335998,0.00006121261,0.000024961631],"category_scores_gemma":[0.0004949135,0.00017754504,0.000049619863,0.001201741,0.00038357993,0.00048745927,0.0005130635,0.00036180654,0.00002962004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001255751,0.0021026817,0.0026209727,0.015679114,0.00002398085,0.000009490467,0.02898369,0.012732776,0.15551661,0.094896436,0.0029397607,0.6843689],"study_design_scores_gemma":[0.00047449715,0.00034619813,0.00058530574,0.072417006,0.000014155983,0.000007505567,0.002514936,0.008797151,0.8996437,0.01359305,0.00088084675,0.00072560756],"about_ca_topic_score_codex":0.000022289621,"about_ca_topic_score_gemma":0.000059604234,"teacher_disagreement_score":0.74412715,"about_ca_system_score_codex":0.00010760172,"about_ca_system_score_gemma":0.00046693892,"threshold_uncertainty_score":0.72400767},"labels":[],"label_agreement":null},{"id":"W4414392281","doi":"10.3390/app151810269","title":"Catalytic Combustion of Fugitive Methane: Challenges and Current State of the Technology","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Methane; Natural gas; Fugitive emissions; Combustion; Catalytic combustion; Fossil fuel; Coal","score_opus":0.012837162035632468,"score_gpt":0.2403279460457702,"score_spread":0.22749078401013773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414392281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98266584,0.0053481506,0.0025448075,0.00032221383,0.0002720166,0.00017882702,0.000006200543,0.000056780304,0.008605187],"genre_scores_gemma":[0.9990174,0.0008666838,0.000094419294,0.0000030441308,0.0000014579488,0.000005281731,2.828867e-7,0.0000013724847,0.000010036881],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996809,0.0000048012853,0.00009768394,0.00007775464,0.00007216795,0.00006672649],"domain_scores_gemma":[0.9998212,0.00004235769,0.000027465487,0.00008316608,0.000018471665,0.000007331562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013716023,0.000043276017,0.00008479986,0.00011450664,0.000027157503,0.0000028359025,0.00013205141,0.00001630635,4.999127e-7],"category_scores_gemma":[0.000012848122,0.000031152,0.000010846342,0.00035981816,0.00040219765,0.000018287777,0.000051752304,0.000060594983,3.9297072e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023975465,0.000015447871,0.00017611611,0.00014239714,0.000012069698,3.933877e-8,0.0005148695,0.0071018487,0.005361139,0.14487357,0.000011579673,0.84178853],"study_design_scores_gemma":[0.0012394902,0.00012578313,0.10564118,0.0005863279,0.00012803142,0.0000048649276,0.00611806,0.2066997,0.3968796,0.28047502,0.0015565503,0.00054538145],"about_ca_topic_score_codex":0.0000010833835,"about_ca_topic_score_gemma":0.000019960826,"teacher_disagreement_score":0.84124315,"about_ca_system_score_codex":0.000008366092,"about_ca_system_score_gemma":0.000017749231,"threshold_uncertainty_score":0.1481914},"labels":[],"label_agreement":null},{"id":"W4414410809","doi":"10.3390/app151810287","title":"Catalyst and Process Effects in the Solvent-Free Hydrogenation of p-Cymene to p-Menthane","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Selectivity; Hydrogen; Process (computing); Metal; Catalyst support","score_opus":0.004716609728023853,"score_gpt":0.22308469245217533,"score_spread":0.21836808272415148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414410809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940863,0.00016271658,0.00045761935,0.00018900319,0.000050124898,0.00025522764,0.0000014255296,0.00001980075,0.0047777737],"genre_scores_gemma":[0.9997326,0.0000040559025,0.00015086625,0.00005534188,0.000004190256,0.000041805488,0.0000031037353,0.000001851427,0.0000061866535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994943,0.0000053136723,0.000098984114,0.00012560435,0.00017363927,0.000102143],"domain_scores_gemma":[0.99976426,0.00005825193,0.000015480588,0.00014019552,0.000007125246,0.000014691228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032042316,0.000055752513,0.00008035413,0.00017283496,0.00004623715,0.00002071508,0.00030065933,0.000019568615,0.0000012890805],"category_scores_gemma":[0.000018608613,0.000041039333,0.000011404953,0.0009233167,0.00006910357,0.00005368946,0.000051167674,0.000026648022,0.0000025541756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013736589,0.000050535426,0.0024861256,0.0003985336,0.000028784289,0.0000017761495,0.0035251172,0.0075696665,0.96635276,0.007824168,0.00089538214,0.010853419],"study_design_scores_gemma":[0.0003199735,0.000025709798,0.0035544639,0.000036612822,0.000016765409,6.653865e-7,0.00081683614,0.0052355104,0.98772293,0.0020288827,0.0001573412,0.00008430378],"about_ca_topic_score_codex":0.000020345264,"about_ca_topic_score_gemma":0.000091692775,"teacher_disagreement_score":0.021370178,"about_ca_system_score_codex":0.000017130295,"about_ca_system_score_gemma":0.000011696574,"threshold_uncertainty_score":0.16735354},"labels":[],"label_agreement":null},{"id":"W4414448719","doi":"10.3390/app151910314","title":"Predicting the Freezing Characteristics of Organic Soils Using Laboratory Experiments and Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Agency for Infrastructure Technology Advancement; Ministry of Land, Infrastructure and Transport","keywords":"Compaction; Soil water; Organic matter; Water content; Predictive modelling; Permafrost; Soil organic matter","score_opus":0.06364802725562801,"score_gpt":0.25775000954403565,"score_spread":0.19410198228840764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414448719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484533,0.0011481761,0.00016372987,0.000055059772,0.00013204852,0.000092985174,0.000102403676,0.000016584516,0.0034437072],"genre_scores_gemma":[0.99947965,0.00013221506,0.00014623912,0.00015733865,0.000038628063,7.724057e-7,0.000026535306,0.0000017020079,0.00001690862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923396,0.000034130695,0.00017447224,0.000189385,0.00017680043,0.00019124753],"domain_scores_gemma":[0.999588,0.0001741726,0.00009991437,0.0000830394,0.000022053238,0.000032824897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005356307,0.00008662885,0.00012823804,0.000063754705,0.0006012051,0.0000888882,0.00019926723,0.000032595213,0.00019243773],"category_scores_gemma":[0.000023085908,0.00005825879,0.000012838703,0.00040593036,0.00029297112,0.00014509186,0.000042154785,0.00010528291,0.0000025586016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009715587,0.000006602565,0.9387512,0.00003128075,0.00001020416,7.6333697e-7,0.0024299335,0.001360638,0.054150328,0.00030999936,0.000008663731,0.0029306335],"study_design_scores_gemma":[0.00040123865,0.00009478186,0.15266794,0.00015190548,0.0000585,0.0000055926016,0.011347721,0.81179166,0.021188594,0.0016135182,0.00033360874,0.0003449145],"about_ca_topic_score_codex":0.0008299098,"about_ca_topic_score_gemma":0.0007232153,"teacher_disagreement_score":0.81043106,"about_ca_system_score_codex":0.000002769371,"about_ca_system_score_gemma":0.000057893998,"threshold_uncertainty_score":0.46240443},"labels":[],"label_agreement":null},{"id":"W4414588928","doi":"10.3390/app151910506","title":"Mind the Link: Discourse Link-Aware Hallucination Detection in Summarization","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Privy Council Office","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"Automatic summarization; Meaning (existential); Representation (politics); Relation (database); Content (measure theory); Semantic relation; Structuring","score_opus":0.01175317348728903,"score_gpt":0.30321453504426277,"score_spread":0.2914613615569737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414588928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0088280765,0.00004560454,0.9809246,0.0045914105,0.00011283604,0.00024331595,2.573454e-7,0.00010109546,0.005152788],"genre_scores_gemma":[0.97976065,0.0000157056,0.019740986,0.00018690093,0.000046415822,0.000056765064,0.000001545817,0.000002399512,0.00018862312],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876976,0.00004846902,0.00022769961,0.0004380985,0.00031281088,0.00020316962],"domain_scores_gemma":[0.9993283,0.00014371068,0.00010891461,0.00034915938,0.000050759652,0.000019123574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008527323,0.000102568796,0.00010735543,0.00035525043,0.00038510855,0.00022684394,0.0009887208,0.000061451006,0.0000034958898],"category_scores_gemma":[0.000050621056,0.000072717914,0.000029979985,0.0027718288,0.00023333903,0.000544683,0.00018707877,0.00014221642,0.00000990742],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015168476,0.000012203337,0.00036243192,0.0000027433387,0.0000029104237,4.6092467e-7,0.0003345239,0.0019209041,0.0042417403,0.07797719,0.000015411953,0.915128],"study_design_scores_gemma":[0.0003074931,0.00006559073,0.011159028,0.00005729714,0.000020762564,0.0000015889367,0.00065966597,0.69073224,0.15600167,0.13650721,0.0041140397,0.00037342124],"about_ca_topic_score_codex":0.000033801425,"about_ca_topic_score_gemma":0.0005284306,"teacher_disagreement_score":0.9709326,"about_ca_system_score_codex":0.00007047882,"about_ca_system_score_gemma":0.00008467295,"threshold_uncertainty_score":0.29653504},"labels":[],"label_agreement":null},{"id":"W4414611582","doi":"10.3390/app151910532","title":"Traffic Safety Measures and Assessment","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"SAFER; Key (lock); Scalability; Identification (biology); Crash; Advanced driver assistance systems","score_opus":0.011653646643634843,"score_gpt":0.2461063043737109,"score_spread":0.23445265773007606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414611582","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31659958,0.0010272331,0.01313595,0.00048348613,0.00044683093,0.00019593246,0.000002865497,0.0005142803,0.66759384],"genre_scores_gemma":[0.9971717,0.00013911175,0.002508347,0.000060929317,0.000015929378,0.000008446802,5.3133414e-7,0.0000029073844,0.00009212339],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994699,0.000005440491,0.00010099945,0.00014498424,0.00012786059,0.00015083818],"domain_scores_gemma":[0.9998439,0.00004452189,0.000006911713,0.00006877357,0.0000052695955,0.000030622337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026703335,0.00007296215,0.000089065456,0.000058201127,0.00020083369,0.00003780263,0.00012310973,0.00003182475,0.000011497644],"category_scores_gemma":[0.0000021722665,0.00005729194,0.000013483226,0.0002630511,0.00016529189,0.000040069837,0.000020510282,0.00007875421,0.0000054597544],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057469265,0.000021087728,0.0007622054,0.000044809243,0.000033549433,9.27136e-7,0.00035340388,0.18832566,0.0017688434,0.19191138,0.002899223,0.6138732],"study_design_scores_gemma":[0.0018164989,0.00008659061,0.36992893,0.00011151506,0.00008459118,0.000008314975,0.003914685,0.24784023,0.0030484141,0.005083781,0.36695272,0.0011237345],"about_ca_topic_score_codex":0.0000012905423,"about_ca_topic_score_gemma":0.000013477856,"teacher_disagreement_score":0.6805721,"about_ca_system_score_codex":0.000018605366,"about_ca_system_score_gemma":0.00003923767,"threshold_uncertainty_score":0.23362976},"labels":[],"label_agreement":null},{"id":"W4414768371","doi":"10.3390/app151910679","title":"Analysis of Hemodynamic Markers in Atrial Fibrillation Using Advanced Imaging Techniques","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mach-Gaensslen Foundation of Canada; University of Calgary","keywords":"Atrial fibrillation; Modality (human–computer interaction); Hemodynamics; Stroke (engine); Blood flow; Cardiac imaging; Embolism","score_opus":0.026950330549512208,"score_gpt":0.35710109702649817,"score_spread":0.33015076647698594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414768371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798069,0.00011158858,0.004314209,0.00041300114,0.00007098488,0.00035290042,8.443221e-7,0.0000392346,0.014890326],"genre_scores_gemma":[0.9916821,0.000016686121,0.008136528,0.0000422136,0.00004534669,4.3802135e-7,0.0000053549884,0.0000021750418,0.00006915115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992141,0.000014330291,0.00027012688,0.00019554769,0.00019130818,0.00011455859],"domain_scores_gemma":[0.9996502,0.000105050036,0.00010486695,0.00010249388,0.000023220191,0.000014200966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004726754,0.00006595984,0.0002627733,0.0010265588,0.00006188875,0.000015327883,0.00006352914,0.000023322938,0.000019204808],"category_scores_gemma":[0.00004951942,0.00005756619,0.00012683982,0.0029323027,0.00011859984,0.00008866803,0.000039639363,0.000028588942,4.3330365e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014951636,0.0000011053312,0.868539,0.00002364865,0.00010884762,4.797083e-7,0.00004497464,0.016971286,0.018012136,0.0042528166,0.000004582385,0.09189164],"study_design_scores_gemma":[0.0010182471,0.000028042785,0.53065944,0.00008510939,0.0010025086,3.31162e-7,0.000829071,0.4601343,0.004072514,0.001299647,0.0007086611,0.00016217068],"about_ca_topic_score_codex":0.00005095866,"about_ca_topic_score_gemma":0.000018788964,"teacher_disagreement_score":0.443163,"about_ca_system_score_codex":0.000054575794,"about_ca_system_score_gemma":0.00005829662,"threshold_uncertainty_score":0.23474811},"labels":[],"label_agreement":null},{"id":"W4414883509","doi":"10.3390/app151910772","title":"Novel Experimental and Simulation Investigation of Transducer Coupling and Specimen Geometry Effects in Low-Frequency Ultrasonic Testing","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transducer; Ultrasonic sensor; Ultrasonic testing; USable; Coupling (piping); Acoustic impedance; SIGNAL (programming language)","score_opus":0.013352137369743134,"score_gpt":0.23542591969032683,"score_spread":0.2220737823205837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414883509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754164,0.00041528986,0.023234913,0.000008294017,0.000049302547,0.00018085315,0.0000010298282,0.00002692899,0.00066696305],"genre_scores_gemma":[0.9925505,0.000005532042,0.007406377,0.000010365164,0.000010293478,0.000010246068,0.0000012769588,0.000004221557,0.0000012206643],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947006,0.0000028457875,0.00015870082,0.00015447658,0.00010119913,0.00011269743],"domain_scores_gemma":[0.99956393,0.00033561653,0.000027421258,0.000039834762,0.000011539782,0.000021680442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024903123,0.00007564435,0.000097352735,0.00014090395,0.00006329298,0.000032558168,0.000048281025,0.000036143247,0.0000013731293],"category_scores_gemma":[0.000042777127,0.00007417548,0.0000058650785,0.0004944625,0.00012704189,0.000108400054,0.000008819838,0.00005922579,1.989414e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.534171e-7,0.000005990058,0.0062826597,0.00008967189,0.0000023125076,7.042605e-8,0.00022707912,0.19497633,0.7965291,0.0011843311,1.816261e-7,0.0007014121],"study_design_scores_gemma":[0.0002765103,0.000019277823,0.046423372,0.00012985506,0.0000057090906,4.0405635e-7,0.00019408295,0.6905975,0.2608552,0.0014205873,1.8574079e-7,0.000077381235],"about_ca_topic_score_codex":0.000014623044,"about_ca_topic_score_gemma":0.0000030752494,"teacher_disagreement_score":0.5356739,"about_ca_system_score_codex":0.000026407088,"about_ca_system_score_gemma":0.000019966164,"threshold_uncertainty_score":0.30247882},"labels":[],"label_agreement":null},{"id":"W4415208480","doi":"10.3390/app152011042","title":"Skeletal, Dental, and Nasal Changes After Slow Maxillary Expansion Using Quad-Helix","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Molar; Airway; Buccal administration; Maxilla; Cephalometry; Maxillary molar","score_opus":0.025246843362043893,"score_gpt":0.3040865341631158,"score_spread":0.2788396908010719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415208480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905188,0.0013919197,0.0010078577,0.000108816916,0.00083817507,0.00018521924,0.000010804098,0.00005412431,0.0058842544],"genre_scores_gemma":[0.9962039,0.00013450331,0.0021735635,0.0006607174,0.00010407927,0.000017510087,0.000003126482,0.000009608844,0.0006929672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855775,0.00002592654,0.00020179115,0.0004607018,0.00042805806,0.00032578467],"domain_scores_gemma":[0.99956465,0.000052841493,0.000072212424,0.00019158915,0.00003005361,0.000088645276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042645354,0.00016725129,0.00019876224,0.00018433474,0.00041802062,0.0003066175,0.00020161763,0.00010687175,0.00007168406],"category_scores_gemma":[0.000023761586,0.00014530505,0.000046651163,0.0005108544,0.00044106191,0.00014097133,0.00026458464,0.00010875116,0.000043446093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010482484,0.00016413613,0.8368352,0.0002043725,0.000065302855,0.0003172084,0.000604043,0.000041870393,0.0974553,0.020358486,0.0017917295,0.04205754],"study_design_scores_gemma":[0.002871609,0.000360454,0.8545887,0.00043665242,0.0003936501,0.0003066972,0.0067193997,0.005879039,0.03887846,0.004797803,0.08246924,0.0022983183],"about_ca_topic_score_codex":0.00009844831,"about_ca_topic_score_gemma":0.00042744636,"teacher_disagreement_score":0.08067751,"about_ca_system_score_codex":0.000021211861,"about_ca_system_score_gemma":0.00007542844,"threshold_uncertainty_score":0.5925368},"labels":[],"label_agreement":null},{"id":"W4415283433","doi":"10.3390/app152011151","title":"Effect of Real Gas Equations on Calculation Accuracy of Thermodynamic State in Hydrogen Storage Tank","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministry of Education of the People's Republic of China","keywords":"van der Waals force; Van der Waals equation; Polynomial; Real gas; Hydrogen; Equation of state; Boundary value problem; Theorem of corresponding states","score_opus":0.007708816111486282,"score_gpt":0.2584992017211888,"score_spread":0.2507903856097025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415283433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98892576,0.0000582807,0.0023540002,0.000021099713,0.000035439967,0.00018182615,0.0000030499523,0.00008951759,0.008331035],"genre_scores_gemma":[0.9998594,0.000026280788,0.00006863762,0.0000019159481,0.0000017434329,0.000026151807,0.0000013901741,0.0000030183753,0.000011495118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951375,0.0000128109195,0.00014094062,0.00010252488,0.00012140074,0.00010859095],"domain_scores_gemma":[0.9995173,0.00030926193,0.000037415408,0.00012285872,0.000006102536,0.0000070303804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146043,0.00006584956,0.00012023222,0.0002007136,0.000027032742,0.0000057971815,0.00017400998,0.000037983846,0.0000037320553],"category_scores_gemma":[0.000049921917,0.00005314444,0.000021894273,0.00061331835,0.00012751251,0.000041757394,0.000021643751,0.00005455246,0.0000019300344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023098324,0.000018042365,0.0020365543,0.00006763107,0.00001866993,5.4325193e-7,0.00041197098,0.31362855,0.6015503,0.02263329,0.000019736663,0.059591588],"study_design_scores_gemma":[0.00041614525,0.00015158052,0.00970173,0.000061861225,0.000014835176,1.2236183e-7,0.00022349348,0.3642418,0.61650926,0.0085398415,0.000011204089,0.0001281373],"about_ca_topic_score_codex":0.00007608644,"about_ca_topic_score_gemma":0.000091268405,"teacher_disagreement_score":0.059463453,"about_ca_system_score_codex":0.00003428992,"about_ca_system_score_gemma":0.00002009754,"threshold_uncertainty_score":0.21671674},"labels":[],"label_agreement":null},{"id":"W4415560350","doi":"10.3390/app152111418","title":"Microscopic Behavioral and Psychological Analysis of Road User Interactions in Shared Spaces","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University Canada West","funders":"","keywords":"Shared space; Space (punctuation); Key (lock); Risk perception; Point (geometry); Poison control","score_opus":0.033282377604170375,"score_gpt":0.336611951617477,"score_spread":0.3033295740133066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415560350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99317956,0.00009585732,0.0003356387,0.000044942946,0.00008649357,0.000049465394,0.0000044648204,0.0000343755,0.006169184],"genre_scores_gemma":[0.9989585,0.000018105684,0.0009422271,0.000013116491,0.0000028724478,0.000008003549,0.0000018011631,0.0000011619628,0.000054195763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995916,0.0000048647844,0.000119868266,0.00013502307,0.00005314518,0.00009552295],"domain_scores_gemma":[0.9998802,0.00002336763,0.000012624083,0.000063789055,0.0000045299976,0.000015516227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007814058,0.000051109564,0.00012847627,0.0002607266,0.000042347147,0.000023620301,0.00010175143,0.00002380398,0.000040648763],"category_scores_gemma":[0.0000017967815,0.00004056091,0.000022520748,0.0010657918,0.00014184743,0.000048902697,0.000020158166,0.000060257935,0.0000015202244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031263655,0.000473471,0.748566,0.00005268255,0.00027615315,0.0000035756766,0.003425259,0.09415631,0.0901711,0.01586118,0.0013174474,0.045665577],"study_design_scores_gemma":[0.00012766638,0.000012651824,0.991825,0.000010983806,0.00006494547,2.045412e-7,0.0006626745,0.006077494,0.00081443094,0.000055794346,0.00028290905,0.00006526898],"about_ca_topic_score_codex":0.000042269785,"about_ca_topic_score_gemma":0.0004549898,"teacher_disagreement_score":0.243259,"about_ca_system_score_codex":0.0000088512015,"about_ca_system_score_gemma":0.000004860415,"threshold_uncertainty_score":0.16540259},"labels":[],"label_agreement":null},{"id":"W4415560354","doi":"10.3390/app152111405","title":"Comparative Evaluation of Two Dynamic Navigation Systems vs. Freehand Approach and Different Operator Skills in Endodontic Microsurgery: A Cadaver Study","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Università degli Studi di Torino","keywords":"Cadaver; Software; DICOM; Coronal plane; Endodontics; Osteotomy","score_opus":0.03461222730422237,"score_gpt":0.3576283916906685,"score_spread":0.32301616438644615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415560354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961054,0.0004149541,0.00014921803,0.0000055873716,0.0002446436,0.0012556227,0.000016687816,0.0000088312545,0.0017991033],"genre_scores_gemma":[0.9995488,0.0000044389485,0.00008734233,0.000006328899,0.0000068008103,0.00018199506,0.00001646913,0.0000038105995,0.00014405079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835896,0.00017956729,0.00034654574,0.0003879045,0.000556575,0.00017041402],"domain_scores_gemma":[0.9994563,0.00013618113,0.00013119612,0.00015392333,0.00008831541,0.00003407596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010449105,0.00014336796,0.00037834456,0.000189976,0.00015868127,0.00012308353,0.00014936802,0.000036114292,0.0000036840208],"category_scores_gemma":[0.00001563283,0.00010541709,0.000025395128,0.00047205185,0.00019591463,0.00007814342,0.000063820364,0.000075364485,0.000002457019],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049543924,0.0017731733,0.9640661,0.00011487293,0.00020441892,0.000006973661,0.0030012787,0.00453011,0.020910613,0.0042568957,0.0000622541,0.0010238041],"study_design_scores_gemma":[0.0048897485,0.0001327893,0.91406643,0.00017996367,0.00026222103,0.000005693942,0.0056262338,0.069206305,0.004773346,0.00062048086,0.000006713472,0.00023008726],"about_ca_topic_score_codex":0.0004187581,"about_ca_topic_score_gemma":0.0010704627,"teacher_disagreement_score":0.064676195,"about_ca_system_score_codex":0.00012460123,"about_ca_system_score_gemma":0.00009645673,"threshold_uncertainty_score":0.42987844},"labels":[],"label_agreement":null},{"id":"W4415649946","doi":"10.3390/app152111537","title":"Real-Time Traffic Arrival Prediction for Intelligent Signal Control Using a Hidden Markov Model-Filtered Dynamic Platoon Dispersion Model and Automatic License Plate Recognition Data","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"National Natural Science Foundation of China","keywords":"Platoon; Hidden Markov model; Robustness (evolution); Intelligent transportation system; Timestamp; SIGNAL (programming language); License; Estimator","score_opus":0.028706468813245734,"score_gpt":0.2599430395551823,"score_spread":0.23123657074193654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415649946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3532152,0.000027017608,0.6433246,0.000038665214,0.000078362646,0.0007493912,0.00017626138,0.0015836274,0.00080687157],"genre_scores_gemma":[0.9468207,0.00013832886,0.05275782,0.000038297556,0.000015185496,0.000077124016,0.00011717646,0.000014204277,0.000021179343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988563,0.000013692525,0.00029101069,0.00040754216,0.00018665934,0.00024481516],"domain_scores_gemma":[0.99959266,0.000066465866,0.0000527364,0.00021373744,0.000017732711,0.000056645673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954364,0.0001690431,0.00018444356,0.00025475016,0.00023621338,0.000109293665,0.00027551295,0.00008310137,0.000005195067],"category_scores_gemma":[0.000008005931,0.00016393581,0.000030750645,0.00021318137,0.00011182235,0.0003379059,0.00007741293,0.00007637701,0.0000019162712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074401876,0.00004055742,0.0000029057967,0.00016397367,0.00006513376,4.6695217e-7,0.00026086977,0.76408476,0.046490926,0.00029229777,0.002914395,0.18560931],"study_design_scores_gemma":[0.00047071054,0.000033278484,0.000015858548,0.00009637415,0.000103274055,0.0000016350485,0.000134213,0.99790454,0.00040364428,0.0006730464,0.000014543684,0.00014890012],"about_ca_topic_score_codex":0.0000032323924,"about_ca_topic_score_gemma":0.000008651604,"teacher_disagreement_score":0.59360546,"about_ca_system_score_codex":0.00008553296,"about_ca_system_score_gemma":0.000038993017,"threshold_uncertainty_score":0.6685108},"labels":[],"label_agreement":null},{"id":"W4415811019","doi":"10.3390/app152111679","title":"Production of Dictyostelium discoideum Hybrid Type Enzyme SteelyA in the Diatom Phaeodactylum tricornutum","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Phaeodactylum tricornutum; Dictyostelium discoideum; Bioproduction; Biosynthesis; Enzyme; Heterologous expression; Heterologous; Lipoxygenase","score_opus":0.017704019546752967,"score_gpt":0.2705919739507392,"score_spread":0.2528879544039862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415811019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792764,0.0006029267,0.000009492279,0.009446604,0.000600003,0.00059183734,0.0000024184737,0.000019621542,0.009450652],"genre_scores_gemma":[0.9980401,0.00006726024,0.00015141355,0.0005291818,0.0001392613,0.0000035589474,0.0000035643993,0.0000033298088,0.001062338],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988677,0.000040534727,0.00025956586,0.00034718483,0.0002770991,0.00020793901],"domain_scores_gemma":[0.99948496,0.00009839581,0.000087548964,0.00025557645,0.00005134476,0.000022154312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009498618,0.000105893574,0.00022010441,0.00019154059,0.00012522098,0.000026228285,0.0002724714,0.000033601882,0.00002688783],"category_scores_gemma":[0.00023421246,0.00005618031,0.000040554576,0.001454417,0.00038027103,0.00007479545,0.00005139314,0.00015185597,0.000009132561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003267942,0.00038920515,0.0035086784,0.00018420977,0.000029007275,0.0000066096627,0.00068231334,0.000015756692,0.9440983,0.004868469,0.018687014,0.027203664],"study_design_scores_gemma":[0.0004522821,0.00017333271,0.013988614,0.00011563819,0.0000722813,0.000018132616,0.0012062833,0.00005353266,0.9673233,0.0010304409,0.015426275,0.00013986934],"about_ca_topic_score_codex":0.00006130895,"about_ca_topic_score_gemma":0.000020889243,"teacher_disagreement_score":0.027063796,"about_ca_system_score_codex":0.000023440722,"about_ca_system_score_gemma":0.00014746355,"threshold_uncertainty_score":0.22909665},"labels":[],"label_agreement":null},{"id":"W4415811748","doi":"10.3390/app152111665","title":"Editorial for the Special Issue: “Advanced Optical-Fiber-Related Technologies”","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Optical fiber; Fiber; Plastic optical fiber; Glass fiber","score_opus":0.006255053925411803,"score_gpt":0.22982311234551486,"score_spread":0.22356805842010305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415811748","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010900637,0.0008224722,0.0069331927,0.003526628,0.18894278,0.002013001,0.00002883421,0.0022155012,0.78461695],"genre_scores_gemma":[0.9130967,0.00031525144,0.014567106,0.00015398623,0.06560315,0.00078851613,0.000008772124,0.000044831984,0.00542164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921244,0.0000014290637,0.00015703181,0.000184898,0.00016946885,0.00027474648],"domain_scores_gemma":[0.9995188,0.00025765883,0.00001655129,0.00016996713,0.000020131403,0.000016871561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022566502,0.00010516218,0.00011537302,0.000052509953,0.00027476263,0.000070214795,0.0004798699,0.000108752334,0.000042407373],"category_scores_gemma":[0.000050214887,0.000070706876,0.000038770464,0.0005531235,0.0003993336,0.00005376249,0.00007336172,0.00015521591,0.000039870767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032690543,0.00002755577,0.0000023467094,0.000035704354,0.000055099834,4.0097063e-7,0.00022762676,0.019604256,0.019985402,0.12604973,0.53547144,0.29850775],"study_design_scores_gemma":[0.0002735776,0.000022160202,0.000005193225,0.000006669763,0.000014210684,3.1532997e-7,0.0005275782,0.0062641,0.008949826,0.017742077,0.96608317,0.00011115241],"about_ca_topic_score_codex":5.203913e-7,"about_ca_topic_score_gemma":0.0000031244156,"teacher_disagreement_score":0.9021961,"about_ca_system_score_codex":0.000031565876,"about_ca_system_score_gemma":0.000035800513,"threshold_uncertainty_score":0.28833425},"labels":[],"label_agreement":null},{"id":"W4415813319","doi":"10.3390/app152111644","title":"Sustainable Strategies for Sunburn Mitigation in Gala Apple Orchards: Effects on Yield, Fruit Quality, and Plant Physiology","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"Instituto Superior de Agronomia","keywords":"Sunburn; Abiotic component; Randomized block design; Photosynthesis; Pruning; Irrigation; Limiting","score_opus":0.0354706472698809,"score_gpt":0.28398297524059546,"score_spread":0.24851232797071454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415813319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929247,0.000066840716,0.00001057424,0.0022811315,0.00004623102,0.0003979854,0.000023465707,0.000024410689,0.004224693],"genre_scores_gemma":[0.9982498,0.000028868906,0.000027352266,0.0012105174,0.000045819317,0.0001916682,0.000041170933,2.5184792e-7,0.00020453485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913245,0.000043702992,0.00015219585,0.0003181724,0.00008736565,0.00026609947],"domain_scores_gemma":[0.99843025,0.0014373242,0.000058728925,0.000026506557,0.000027160182,0.000020034679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045548865,0.000101294296,0.00018598845,0.000028225018,0.00046876504,0.00005164871,0.00014721656,0.00007192598,0.0000090585545],"category_scores_gemma":[0.000075723874,0.00004162543,0.000022909164,0.00032463326,0.00022707383,0.00009630602,0.000058303576,0.00006781717,0.0000025263091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009672096,0.00004266474,0.001757671,0.000057254365,0.000009673236,4.937932e-7,0.00027120326,0.000032650518,0.63792264,0.35476214,0.0026686115,0.0023782887],"study_design_scores_gemma":[0.0005051571,0.00042300156,0.66441363,0.00009196184,0.000009848879,6.816688e-7,0.0327102,0.000078618024,0.035429806,0.25850177,0.0075237486,0.00031158695],"about_ca_topic_score_codex":0.00014264784,"about_ca_topic_score_gemma":0.00046588815,"teacher_disagreement_score":0.66265595,"about_ca_system_score_codex":0.000010662665,"about_ca_system_score_gemma":0.000021943582,"threshold_uncertainty_score":0.3605409},"labels":[],"label_agreement":null},{"id":"W4415813562","doi":"10.3390/app152111656","title":"Advancing Machine Learning-Based Streamflow Prediction Through Event Greedy Selection, Asymmetric Loss Function, and Rainfall Forecasting Uncertainty","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Streamflow; Flood forecasting; Probabilistic logic; Reliability (semiconductor); Storm; Flood myth","score_opus":0.012236273567501023,"score_gpt":0.23436367478994843,"score_spread":0.22212740122244742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415813562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8937455,0.000072668605,0.08001234,0.0005691225,0.00025194304,0.00036967322,0.0000045862175,0.0002878154,0.024686368],"genre_scores_gemma":[0.9942031,0.0000064244077,0.004996159,0.00055185717,0.000040589264,0.000035808967,0.0000092388245,0.000008815348,0.00014800749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978776,0.00008302095,0.00032854782,0.000739871,0.00046791846,0.0005030498],"domain_scores_gemma":[0.99930197,0.00030798803,0.00015888782,0.00012059292,0.000022119799,0.00008846409],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012481885,0.00020943482,0.00018922845,0.00014415887,0.001443088,0.00010251975,0.00023202109,0.000097795826,0.00014373496],"category_scores_gemma":[0.0004316628,0.0001758405,0.00004519386,0.0024659235,0.00071163714,0.00023446478,0.0001679736,0.00029315724,0.000024311637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034812016,0.00006606086,0.22696301,0.000012047929,0.000009034031,7.8450114e-7,0.000070105074,0.7627132,0.00078178756,0.0010861257,0.00019376668,0.0080692815],"study_design_scores_gemma":[0.0007017398,0.000551465,0.04282239,0.000042835953,0.000046938625,0.0000106176385,0.000065532244,0.93430257,0.0004952543,0.015029555,0.0056427023,0.00028837085],"about_ca_topic_score_codex":0.00064376235,"about_ca_topic_score_gemma":0.0004609018,"teacher_disagreement_score":0.18414062,"about_ca_system_score_codex":0.00019217488,"about_ca_system_score_gemma":0.000061797306,"threshold_uncertainty_score":0.9998569},"labels":[],"label_agreement":null},{"id":"W4416066282","doi":"10.3390/app152211888","title":"ERP Signatures of Stimulus Choice in Gaze-Independent BCI Communication","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Gaze; Stimulus (psychology); Brain–computer interface; Electroencephalography; Motor imagery; Electrophysiology; P600; Eye movement","score_opus":0.027834103411540384,"score_gpt":0.3129132746841052,"score_spread":0.28507917127256477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416066282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93569887,0.000250776,0.00043093524,0.00066723,0.00017473934,0.00022462445,0.0000025898164,0.00004193814,0.06250827],"genre_scores_gemma":[0.9983944,0.000018929768,0.00060367206,0.00073256093,0.000009191839,0.000014658754,3.9393575e-7,0.0000024934786,0.00022365243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988196,0.000079012694,0.00023774529,0.0003473781,0.00031276522,0.00020353227],"domain_scores_gemma":[0.9987544,0.0008318069,0.00009366461,0.0002782479,0.000017159167,0.000024749654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048176423,0.00009393854,0.00014399427,0.00021270632,0.00016560464,0.00007166163,0.0011205871,0.000052441188,0.00002203917],"category_scores_gemma":[0.00014592512,0.000076891694,0.000026272657,0.0008625305,0.00047853225,0.00013561947,0.00024815695,0.00017677638,0.0000096524045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024204768,0.00018428762,0.0034350161,0.00003397735,0.0000033319209,0.000001541793,0.00088169356,0.008143078,0.86156803,0.113878645,0.00096122496,0.010884947],"study_design_scores_gemma":[0.00042078496,0.00005541989,0.015086871,0.00009641441,0.0000041711423,9.0443666e-7,0.00033115718,0.007077972,0.9646693,0.0103311185,0.0017734725,0.00015242664],"about_ca_topic_score_codex":0.0001165019,"about_ca_topic_score_gemma":0.00017655216,"teacher_disagreement_score":0.10354753,"about_ca_system_score_codex":0.000023023284,"about_ca_system_score_gemma":0.00007304371,"threshold_uncertainty_score":0.31355524},"labels":[],"label_agreement":null},{"id":"W4416192538","doi":"10.3390/app152212039","title":"Knowledge-Based Approach for Contextual Landsystem Identification: A Conceptual Model and Graph-Based Software, with an Application to Mountain Glacial Valleys","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Landform; Terrain; Context (archaeology); Conceptual model; Homogeneous; Glacial landform; Identification (biology)","score_opus":0.033134838712419,"score_gpt":0.30773187359077386,"score_spread":0.27459703487835485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416192538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04573293,0.0000646559,0.93494475,0.00037173205,0.000072908406,0.0025603992,0.00002130217,0.0001876105,0.016043715],"genre_scores_gemma":[0.97778076,0.000001062936,0.019398168,0.0003882471,0.00005902037,0.0021599743,0.000026494088,0.0000064799706,0.0001798209],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814296,0.00007787947,0.00038753398,0.00052273594,0.0004995278,0.00036935273],"domain_scores_gemma":[0.99880433,0.0002704646,0.00018603161,0.00022042985,0.00038946778,0.00012924746],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023670285,0.00017542782,0.00026337753,0.00037347313,0.0021927638,0.00030280472,0.0004685675,0.00009823817,0.0000014023955],"category_scores_gemma":[0.00007386436,0.00014744431,0.000037332884,0.0014478922,0.0015285847,0.00026797975,0.000034023542,0.000062661136,0.0000044643216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019500309,0.00014090238,0.0055727814,0.00013740678,0.000033954067,5.4591098e-8,0.024883125,0.033362076,0.00028929263,0.93154234,0.00046025083,0.0033827892],"study_design_scores_gemma":[0.008644039,0.0010777803,0.0051034368,0.00020852848,0.00024781574,0.0000011575777,0.42595986,0.5159425,0.0013315765,0.020199802,0.019077258,0.0022062617],"about_ca_topic_score_codex":0.00029419851,"about_ca_topic_score_gemma":0.0018430791,"teacher_disagreement_score":0.9320478,"about_ca_system_score_codex":0.00006527686,"about_ca_system_score_gemma":0.0005963475,"threshold_uncertainty_score":0.9991062},"labels":[],"label_agreement":null},{"id":"W4416192574","doi":"10.3390/app152212036","title":"Bridging Signal Intelligence and Clinical Insight: A Comprehensive Review of Feature Engineering, Model Interpretability, and Machine Learning in Biomedical Signal Analysis","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Workflow; Bridging (networking); Feature selection; Feature (linguistics); Random forest; Feature extraction; Decision tree","score_opus":0.034186117094826114,"score_gpt":0.341251638725512,"score_spread":0.3070655216306859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416192574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80300987,0.045832373,0.1479028,0.0020572888,0.000053470976,0.00035781018,0.00000522378,0.000060581864,0.0007205474],"genre_scores_gemma":[0.98982954,0.005180234,0.004680947,0.00024183393,0.00002032122,0.0000057807833,0.0000052349424,0.0000031294123,0.00003299982],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986006,0.000052178366,0.00046997657,0.00042570697,0.0002822859,0.00016924713],"domain_scores_gemma":[0.9992802,0.0003436689,0.0000983754,0.0001173004,0.00005838931,0.00010202982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010755903,0.00013105362,0.0006693638,0.00049950933,0.000066974084,0.000020653486,0.00012212298,0.000076051634,0.000011903448],"category_scores_gemma":[0.00017884476,0.00009986288,0.000113758244,0.0019372954,0.00054794585,0.000040820392,0.00014728364,0.0004107825,3.1878525e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009704538,0.000319852,0.73917794,0.0050873635,0.0009341946,0.00001810905,0.00081034267,0.014336449,0.0059708366,0.00084093725,0.000048230362,0.23235868],"study_design_scores_gemma":[0.00016932383,0.00010358244,0.01280045,0.001973694,0.000645321,0.0000031558823,0.00013605939,0.98343366,0.00045200557,0.00007506814,0.00010777166,0.00009988531],"about_ca_topic_score_codex":0.00005428923,"about_ca_topic_score_gemma":0.000010317635,"teacher_disagreement_score":0.96909726,"about_ca_system_score_codex":0.000018257148,"about_ca_system_score_gemma":0.00009134197,"threshold_uncertainty_score":0.40722904},"labels":[],"label_agreement":null},{"id":"W4416234053","doi":"10.3390/app152212050","title":"AI-Driven Control Strategies for FACTS Devices in Power Quality Management: A Comprehensive Review","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adaptability; AC power; Flicker; Electric power system; Grid; Reinforcement learning; Power quality; Fuzzy control system; Compensation (psychology)","score_opus":0.04500105610050633,"score_gpt":0.33968240320637333,"score_spread":0.294681347105867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416234053","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21733986,0.0928635,0.14115965,0.011356021,0.0017934063,0.009064091,0.0001909824,0.0012596699,0.5249728],"genre_scores_gemma":[0.9928601,0.0012234113,0.00083239825,0.0049050236,0.000005810845,0.00014422822,0.0000030979104,0.000004326097,0.000021652013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990117,0.000027651628,0.00030209782,0.00022779692,0.00015816925,0.00027256395],"domain_scores_gemma":[0.99957764,0.00018468831,0.000037488237,0.00014431708,0.000026082062,0.000029800176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004929479,0.00012454618,0.0002761624,0.00009841912,0.00010319734,0.00009576894,0.0003266814,0.00003929169,0.000016400625],"category_scores_gemma":[0.000005838841,0.00011232276,0.000046208414,0.0004312296,0.0001295616,0.00017492153,0.000024175968,0.000090567315,0.000013532586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001987987,0.000044590077,0.0002163072,0.0055034556,0.00009593573,0.0000020728626,0.0007718546,0.010509575,0.000986658,0.9729692,0.004887236,0.0039932686],"study_design_scores_gemma":[0.0055183126,0.00014202986,0.04005279,0.004407828,0.0002472484,0.0000015369028,0.018369677,0.022413038,0.0014429822,0.1781907,0.72731686,0.0018970022],"about_ca_topic_score_codex":0.000010648632,"about_ca_topic_score_gemma":0.0000792491,"teacher_disagreement_score":0.79477847,"about_ca_system_score_codex":0.000028410914,"about_ca_system_score_gemma":0.00003873226,"threshold_uncertainty_score":0.45803893},"labels":[],"label_agreement":null},{"id":"W4416337245","doi":"10.3390/app152212222","title":"A Hybrid AI Framework for Integrated Predictive Maintenance and Mineral Quality Assessment in Mining","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Downtime; Artificial neural network; Inference; Quality (philosophy); Fault detection and isolation; Convolutional neural network","score_opus":0.022087266816730792,"score_gpt":0.3203384684412867,"score_spread":0.29825120162455593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416337245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79846,0.00011071476,0.19382101,0.00023216348,0.00015301969,0.00015637862,0.0000074831983,0.00008006781,0.00697917],"genre_scores_gemma":[0.9646152,0.0000066966663,0.03501904,0.00017065418,0.000022100274,0.0000855938,0.0000024448375,0.0000042914944,0.00007398161],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924666,0.000010022983,0.00018394135,0.00022997918,0.00009616342,0.00023322552],"domain_scores_gemma":[0.9996454,0.00022164475,0.000024413464,0.000062001556,0.000018307896,0.00002822872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005670952,0.00009912757,0.00015198642,0.00012106376,0.00011845559,0.000089836896,0.00012111197,0.000038838607,0.0000026896796],"category_scores_gemma":[0.00007873513,0.000082013954,0.000014622978,0.00036314057,0.00013247583,0.000085151936,0.000024462455,0.0001617479,2.7016853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012036195,0.00011064508,0.06586739,0.00093554886,0.0000889077,0.0000057047173,0.0045226477,0.14647436,0.027969822,0.6516257,0.009220794,0.0930581],"study_design_scores_gemma":[0.0009611067,0.000080601196,0.03885161,0.0008642544,0.000018640258,0.0000022487864,0.005883896,0.75551164,0.003751893,0.1921535,0.0013894725,0.0005311107],"about_ca_topic_score_codex":0.000020792033,"about_ca_topic_score_gemma":0.000022668872,"teacher_disagreement_score":0.6090373,"about_ca_system_score_codex":0.000048732243,"about_ca_system_score_gemma":0.000054635468,"threshold_uncertainty_score":0.33444318},"labels":[],"label_agreement":null},{"id":"W4416394866","doi":"10.3390/app152212260","title":"From Light to Insight: Hemodynamic Models for Optical Monitoring of the Brain in Cardiac Arrest","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cardiopulmonary resuscitation; Oxygenation; Cerebral blood flow; Laser Doppler velocimetry; Oxygen metabolism; Hemodynamics; Cerebral blood volume; Oxygen delivery","score_opus":0.01679486118250226,"score_gpt":0.325412484524955,"score_spread":0.30861762334245274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416394866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93042874,0.00009492853,0.01639641,0.0113614835,0.00035490506,0.0006508671,0.0000044783465,0.000049561528,0.04065864],"genre_scores_gemma":[0.9592004,0.0000034497198,0.040275715,0.00027967306,0.00006180424,0.000074686955,5.0380106e-7,0.000003888438,0.000099885096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992066,0.00000850595,0.00016589531,0.0002460553,0.00018714194,0.0001858178],"domain_scores_gemma":[0.9995127,0.00020479014,0.000019722042,0.00019610957,0.00002316162,0.000043532786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029757287,0.000075286494,0.0002180353,0.00009631716,0.000070999966,0.000023834124,0.00021172203,0.000042359632,8.5019144e-7],"category_scores_gemma":[0.00008941755,0.000048249487,0.00005312303,0.0005074039,0.00017409566,0.000038843373,0.00007205246,0.00010182719,7.2860286e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006374636,0.000094891344,0.009007014,0.00003716907,0.000016543081,6.1646773e-7,0.00075966463,0.00030642634,0.7961586,0.18959884,0.0005830965,0.003373409],"study_design_scores_gemma":[0.0003465502,0.00009735947,0.0103237545,0.00034425376,0.000035045945,1.2512233e-7,0.00066298695,0.010715711,0.9038959,0.07273954,0.00071438233,0.0001244018],"about_ca_topic_score_codex":0.00006458559,"about_ca_topic_score_gemma":0.0000057058865,"teacher_disagreement_score":0.116859294,"about_ca_system_score_codex":0.000044474284,"about_ca_system_score_gemma":0.00009530382,"threshold_uncertainty_score":0.1967557},"labels":[],"label_agreement":null},{"id":"W4416596472","doi":"10.3390/app152312445","title":"Comparative Survival of Restorations in MIH-Affected Pediatric Teeth Using Total-Etch Versus Self-Etch Adhesive Systems: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Meta-analysis; Cohort study; Adhesive; Retrospective cohort study; Systematic review; Statistical analysis","score_opus":0.12523316484345332,"score_gpt":0.38172715494567816,"score_spread":0.25649399010222484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416596472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63734955,0.34666225,0.00035813695,0.00051624386,0.00016186593,0.0073949303,0.000029379718,0.00007762025,0.007450026],"genre_scores_gemma":[0.998509,0.00047724077,0.00061623234,0.000053865075,0.00000912201,0.00024358377,0.0000025863058,0.0000027969882,0.000085589636],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.998273,0.00021429046,0.0006095317,0.0003368907,0.0004003774,0.00016590585],"domain_scores_gemma":[0.9987547,0.0005416078,0.00029929518,0.00022101385,0.00014060573,0.000042795404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011182679,0.00016321505,0.0021991364,0.00042474977,0.0001720861,0.0000315652,0.00010152079,0.00004470189,0.0000073596657],"category_scores_gemma":[0.00014539635,0.00010874008,0.00018257761,0.0038757257,0.00018587359,0.00007756111,0.00007651587,0.00009533002,0.000003350705],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004011764,0.0016931633,0.01632844,0.72541666,0.20873411,0.000050758037,0.011853293,0.0024926357,0.0034979456,0.028339805,0.001185154,0.0000068379904],"study_design_scores_gemma":[0.0017161936,0.00034254356,0.006517789,0.0022009208,0.9666317,0.000008878818,0.018640695,0.003025069,0.00038434996,0.00009592357,0.000003356901,0.00043255617],"about_ca_topic_score_codex":0.000310743,"about_ca_topic_score_gemma":0.0001664064,"teacher_disagreement_score":0.7578976,"about_ca_system_score_codex":0.000055790937,"about_ca_system_score_gemma":0.00014396872,"threshold_uncertainty_score":0.44342917},"labels":[],"label_agreement":null},{"id":"W4416850440","doi":"10.3390/app152312626","title":"Dynamic Flexible Job Shop Scheduling via an Adaptive Genetic Algorithm and Deep Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs","funders":"","keywords":"Job shop scheduling; Markov decision process; Dynamic priority scheduling; Adaptability; Deep learning; Scheduling (production processes); Genetic algorithm; Flow shop scheduling","score_opus":0.009009393043264684,"score_gpt":0.2398314158375514,"score_spread":0.23082202279428674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416850440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06307312,0.0011653122,0.92885965,0.000024778852,0.0002139915,0.00010873639,5.966176e-7,0.00041053127,0.0061432994],"genre_scores_gemma":[0.47134954,0.00008066731,0.5284082,0.000036786907,0.000019212532,0.000014921896,0.0000018176712,0.000009426347,0.0000794044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990612,0.00001674506,0.00016425666,0.00031739252,0.0001674242,0.0002729325],"domain_scores_gemma":[0.9997044,0.000059614824,0.00002349639,0.00010590024,0.00002781541,0.00007874339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597737,0.00014185018,0.0001383185,0.00019265595,0.00038437804,0.00014638185,0.00019795467,0.00007000436,0.00001880746],"category_scores_gemma":[0.000011822207,0.00014026897,0.000018133489,0.0006673609,0.00018456872,0.00013279263,0.000043638574,0.00018004978,0.000013978219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015598315,0.0000048616425,0.00012199097,0.0000067415094,0.000009768786,6.7187057e-7,0.00021597488,0.8028296,0.0005593009,0.0007075901,7.674671e-7,0.19554116],"study_design_scores_gemma":[0.00015063577,0.00003505977,0.0007724323,0.000013906977,0.0000115554485,0.0000029304235,0.0012807358,0.99579346,0.00068902026,0.001052481,0.000031120122,0.000166663],"about_ca_topic_score_codex":0.000007878949,"about_ca_topic_score_gemma":0.000006619022,"teacher_disagreement_score":0.4082764,"about_ca_system_score_codex":0.000029986553,"about_ca_system_score_gemma":0.000027928698,"threshold_uncertainty_score":0.57200027},"labels":[],"label_agreement":null},{"id":"W4416850981","doi":"10.3390/app152312623","title":"A Novel Modular Framework for Secure and Scalable Remote Health Monitoring: RHMS","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Thompson Rivers University","keywords":"Scalability; Interoperability; Modular design; Audit; Low latency (capital markets); Scope (computer science)","score_opus":0.034136912508192,"score_gpt":0.31679426552091094,"score_spread":0.28265735301271894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416850981","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01867297,0.00047944198,0.97101635,0.0034366034,0.0037253445,0.0002885424,2.1525221e-7,0.00012904179,0.002251522],"genre_scores_gemma":[0.2713211,0.000014771809,0.72727084,0.0007357807,0.00053472084,0.000009810571,2.620497e-7,0.0000040132245,0.00010871698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984845,0.000011512248,0.00019942739,0.00058444083,0.00023407044,0.00048605146],"domain_scores_gemma":[0.99925053,0.0002472467,0.000085282554,0.00028490447,0.000038571827,0.00009348199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097318017,0.00012859094,0.0001870496,0.00013307389,0.0009448661,0.00039609114,0.0008401355,0.000068180736,1.7083907e-7],"category_scores_gemma":[0.00005364263,0.000113082824,0.000032294138,0.0009815675,0.00015652752,0.00017976308,0.00033347373,0.00013787275,0.0000030493657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006806349,0.000051911444,0.00067101564,0.00011857801,0.000015863092,5.8763965e-7,0.0021706852,0.0004145612,0.0030857618,0.7341725,0.0030958876,0.2561958],"study_design_scores_gemma":[0.00061402755,0.000195756,0.00324744,0.0003728328,0.000007639315,0.000007863227,0.00033377216,0.38949382,0.007787983,0.5729086,0.024533406,0.00049685803],"about_ca_topic_score_codex":0.000042421016,"about_ca_topic_score_gemma":8.4688725e-7,"teacher_disagreement_score":0.38907927,"about_ca_system_score_codex":0.00003427695,"about_ca_system_score_gemma":0.00021956424,"threshold_uncertainty_score":0.72672415},"labels":[],"label_agreement":null},{"id":"W4417113221","doi":"10.3390/app152412918","title":"Bio-Inspired Generative Network with Knowledge Integration","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Interpretability; Biological data; Data integration; Gene regulatory network; Cluster analysis; Robustness (evolution); Generative model; Synthetic data; Biological network; Discriminator","score_opus":0.009215897681991533,"score_gpt":0.2451461050891147,"score_spread":0.23593020740712317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417113221","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26202807,0.0017801154,0.27135745,0.00057037524,0.0005259116,0.00057174714,0.000005248872,0.00004085261,0.46312025],"genre_scores_gemma":[0.9894549,0.00003441098,0.008755814,0.0006431037,0.00018273003,0.000030433972,0.000025877021,0.0000035718642,0.00086915813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938476,0.000012315576,0.00012832948,0.000218186,0.00006203434,0.00019439378],"domain_scores_gemma":[0.9997335,0.000009820305,0.000049708426,0.00014261156,0.00003452242,0.000029831957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002437033,0.00010064601,0.00008590313,0.000031195228,0.00027138196,0.00006180943,0.0001965825,0.00007183661,0.0000054802877],"category_scores_gemma":[0.000004211305,0.00006983422,0.00002209083,0.00031711417,0.00025586598,0.0000033370732,0.000070555856,0.000052336705,0.00000947413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023552559,0.00014121924,0.0020904276,0.000036054073,0.00019142071,8.651455e-7,0.0008899962,0.013442013,0.24896985,0.4290372,0.09822421,0.20674118],"study_design_scores_gemma":[0.0030081025,0.0016997195,0.004678432,0.00020901245,0.00012951036,0.000013262559,0.003183327,0.044979773,0.55928445,0.035961725,0.3451032,0.0017494974],"about_ca_topic_score_codex":0.0000031013433,"about_ca_topic_score_gemma":0.00012825492,"teacher_disagreement_score":0.7274268,"about_ca_system_score_codex":0.000007826496,"about_ca_system_score_gemma":0.00013651114,"threshold_uncertainty_score":0.2847757},"labels":[],"label_agreement":null},{"id":"W4417158195","doi":"10.3390/app152412959","title":"Towards Digital Twins in Prostate Cancer: A Mixture-of-Experts Framework for Multitask Prognostics in Hospital Admissions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Prognostics; Acute kidney injury; Receiver operating characteristic; Triage; Prostate cancer; Emergency department","score_opus":0.015605242469844703,"score_gpt":0.3365655669949023,"score_spread":0.3209603245250576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417158195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80789095,0.0014940223,0.15119085,0.027282419,0.0019547543,0.004757789,0.00007410691,0.00029374962,0.005061378],"genre_scores_gemma":[0.8936,0.000021168744,0.10565626,0.0002621035,0.000022898499,0.00039772218,0.0000020646316,0.0000052053706,0.000032603253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981953,0.00002763454,0.00038907488,0.00058960693,0.00033296086,0.00046542712],"domain_scores_gemma":[0.9988272,0.0005767812,0.00012709881,0.0002915679,0.00006958302,0.00010772551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043314288,0.0001558488,0.00024637126,0.0003205582,0.00015521681,0.00017602129,0.0011211957,0.000088537825,0.0000034525663],"category_scores_gemma":[0.0012515082,0.00012998235,0.0000434243,0.0018588232,0.00018320439,0.00026721644,0.00029991101,0.00024027075,0.0000010562158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027826682,0.0004220743,0.31502998,0.00023311206,0.000008898377,0.000008951504,0.011361755,0.0034352145,0.00011736051,0.48897198,0.00036224516,0.1800206],"study_design_scores_gemma":[0.0029602416,0.0016861133,0.19517723,0.0031270063,0.000016425935,0.0000044436188,0.0051914165,0.2804045,0.0057781716,0.4872957,0.0165951,0.0017636423],"about_ca_topic_score_codex":0.00024151988,"about_ca_topic_score_gemma":0.00012675635,"teacher_disagreement_score":0.27696928,"about_ca_system_score_codex":0.0000768723,"about_ca_system_score_gemma":0.0010178776,"threshold_uncertainty_score":0.53005266},"labels":[],"label_agreement":null},{"id":"W4417193371","doi":"10.3390/app152413004","title":"A 3D CNN Prediction of Cerebral Aneurysm in the Bifurcation Region of Interest in Magnetic Resonance Angiography","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Ministry of Education, India; Ministry of Education - Singapore","keywords":"Convolutional neural network; Deep learning; Bifurcation; Tortuosity; Receiver operating characteristic; Aneurysm; Magnetic resonance imaging; Artificial neural network","score_opus":0.03999597578645172,"score_gpt":0.2629972461024608,"score_spread":0.22300127031600905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417193371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98651266,0.0005294612,0.000065191205,0.0012858313,0.000031966974,0.0003967746,0.0000023373639,0.000008909037,0.011166845],"genre_scores_gemma":[0.99945927,0.000026787962,0.00026709103,0.00012377222,0.00001105198,0.000065173976,0.0000045233387,0.0000014212692,0.00004090507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940175,0.00002488171,0.0002215243,0.00015916264,0.00009911353,0.00009358637],"domain_scores_gemma":[0.9996894,0.000066699424,0.000057526788,0.00015135093,0.000026046326,0.000009005797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019462779,0.00005457579,0.00010606146,0.00033176248,0.000042688458,0.0000061640185,0.00014224107,0.000030002462,0.000005411549],"category_scores_gemma":[0.000013989645,0.00003697459,0.000038561167,0.001642655,0.00027213892,0.000038295246,0.0000134592365,0.0000612409,0.0000010320069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023474127,0.0008990638,0.726421,0.00010746188,0.000008225024,0.000010421583,0.0026062871,0.000024763478,0.022095978,0.20486562,0.0004764854,0.042249978],"study_design_scores_gemma":[0.00041674406,0.00026292895,0.99003655,0.000088583285,0.000023677681,0.000013489582,0.00056223315,0.00047200613,0.0013234202,0.006634416,0.00013663218,0.000029348072],"about_ca_topic_score_codex":0.00012781778,"about_ca_topic_score_gemma":0.00015074052,"teacher_disagreement_score":0.26361555,"about_ca_system_score_codex":0.00001126373,"about_ca_system_score_gemma":0.000040489707,"threshold_uncertainty_score":0.150778},"labels":[],"label_agreement":null},{"id":"W4417193407","doi":"10.3390/app152412999","title":"Mechanical Characterisation of Carbonised Plant Scaffolds as Potential Bone Graft Substitutes","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"activated carbon and charcoal","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Silesian University of Technology","keywords":"Biocompatibility; Cancellous bone; Flexural strength; Porosity; Mechanical strength; Context (archaeology); Pyrolysis; Material properties; Digital image correlation","score_opus":0.04071579963368378,"score_gpt":0.3303116134784312,"score_spread":0.2895958138447474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417193407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656887,0.00006170495,0.0011598191,0.0012751153,0.00066164084,0.00021786457,0.000014685618,0.00005506827,0.030865403],"genre_scores_gemma":[0.99882543,0.00001065086,0.0002940981,0.00036825822,0.000059227496,0.000018900682,0.0000063884368,0.0000042213323,0.0004128314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966133,0.000080865495,0.0006642876,0.00063412933,0.001676839,0.00033053468],"domain_scores_gemma":[0.9987674,0.00033184173,0.00030100698,0.00038109682,0.00011976733,0.000098891054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022885194,0.00016579773,0.00037009857,0.0004571963,0.00026517035,0.00022736458,0.001001339,0.00013026215,0.00023924977],"category_scores_gemma":[0.00027878082,0.00011857943,0.000115754694,0.0015866638,0.000624138,0.00023232897,0.00018766164,0.000096363576,0.000079247955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001413785,0.00011328485,0.00088905386,0.0000058165847,0.000021840302,0.000008316821,0.0003616549,0.00007817311,0.7111497,0.27711108,0.0008794481,0.009240248],"study_design_scores_gemma":[0.0010839041,0.00017800546,0.013109816,0.000041086307,0.000049796632,0.000019318066,0.003990213,0.0055798567,0.790367,0.18171774,0.0034490603,0.00041421843],"about_ca_topic_score_codex":0.00006872469,"about_ca_topic_score_gemma":0.000029160281,"teacher_disagreement_score":0.09539335,"about_ca_system_score_codex":0.000028554552,"about_ca_system_score_gemma":0.00033310545,"threshold_uncertainty_score":0.48355287},"labels":[],"label_agreement":null},{"id":"W4417244321","doi":"10.3390/app152413073","title":"AI-Powered Cybersecurity Models for Training and Testing IoT Devices","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suite; Robustness (evolution); Internet of Things; Intrusion detection system; Benchmark (surveying); Deep learning; Attack model","score_opus":0.052296028844870855,"score_gpt":0.2815781605367261,"score_spread":0.2292821316918552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417244321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09692521,0.00045313215,0.851124,0.002271982,0.0005809445,0.00046475683,0.0000017317661,0.00028789503,0.047890373],"genre_scores_gemma":[0.92742085,0.000008475464,0.07095169,0.0015163149,0.000043721488,0.000036969035,2.2036396e-7,0.0000020152481,0.000019730023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887806,0.000018088405,0.00017360743,0.00047228145,0.00017523939,0.00028273932],"domain_scores_gemma":[0.99932444,0.00035359227,0.000066778106,0.00015234278,0.00005193879,0.000050919833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082452706,0.00010189586,0.00013348166,0.00012865097,0.000822031,0.0003539511,0.000541213,0.000053768585,0.0000018473535],"category_scores_gemma":[0.000048427035,0.00009064604,0.000024106794,0.0009300263,0.00020401667,0.00038884292,0.00018469273,0.00009689859,0.000001363051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000403388,0.000013256312,0.000036565136,0.000020321258,0.000004426766,3.5844985e-7,0.0015710896,0.0011407121,0.00072823605,0.82487583,0.0002172494,0.17138793],"study_design_scores_gemma":[0.00017356877,0.000055930508,0.00012659404,0.00003028138,0.0000045902034,0.0000032745559,0.00025789216,0.6123504,0.0013642058,0.38294715,0.002563057,0.00012307288],"about_ca_topic_score_codex":0.00002577956,"about_ca_topic_score_gemma":0.000053654945,"teacher_disagreement_score":0.83049566,"about_ca_system_score_codex":0.0000130221215,"about_ca_system_score_gemma":0.00010804961,"threshold_uncertainty_score":0.6322481},"labels":[],"label_agreement":null},{"id":"W7093305092","doi":"10.3390/app152111362","title":"Gender Differences in DUI Crash Injury Severity: A Partially Constrained Random-Parameter Logit Model Analysis","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Chemical Reactions and Mechanisms","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crash; Driving under the influence; Logistic regression; Logit; Drunk drivers; Poison control; Human factors and ergonomics; Injury prevention","score_opus":0.032441103981063014,"score_gpt":0.27940544762837194,"score_spread":0.24696434364730893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093305092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90157926,0.00001832541,0.016530693,0.00015264949,0.000034547735,0.000081273836,0.000015163277,0.000058619735,0.08152949],"genre_scores_gemma":[0.9968964,0.000018063825,0.002129986,0.00027255848,0.000013767302,0.00008263851,0.0000060344155,0.0000034123473,0.0005771621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855787,0.000010429157,0.00030839493,0.0004995202,0.0002863311,0.00033747323],"domain_scores_gemma":[0.99933475,0.00026859724,0.000073486786,0.00022244197,0.000025641935,0.00007505963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030904895,0.00016244572,0.0003632797,0.00020945772,0.00014994742,0.00011119853,0.0003519854,0.0001258237,0.00035321238],"category_scores_gemma":[0.00009372055,0.00012999657,0.00012597236,0.0011471476,0.0003805768,0.000074952004,0.00009739632,0.00017635514,0.0000060821926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017962091,0.00030698846,0.011279026,0.000060464125,0.00035253176,0.000005456182,0.00035396373,0.0014228593,0.936493,0.033990923,0.0001966924,0.015358487],"study_design_scores_gemma":[0.0020194447,0.000016080818,0.0010304577,0.000037672722,0.00052187307,0.0000015907021,0.0019413518,0.38331208,0.49772704,0.11250649,0.00024424313,0.00064166466],"about_ca_topic_score_codex":0.00004074423,"about_ca_topic_score_gemma":0.00009566567,"teacher_disagreement_score":0.43876594,"about_ca_system_score_codex":0.00004220007,"about_ca_system_score_gemma":0.00019993834,"threshold_uncertainty_score":0.5301106},"labels":[],"label_agreement":null},{"id":"W7117100920","doi":"10.3390/app16010070","title":"Integrating Remote Sensing Indices and Ensemble Machine Learning Model with Independent HEC-RAS 2D Model for Enhanced Flood Prediction and Risk Assessment in the Ottawa River Watershed","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Queen's University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Flood myth; Watershed; Flood mitigation; Flood risk assessment; Support vector machine; Ensemble learning; Predictive modelling; Flood forecasting","score_opus":0.008859514649171882,"score_gpt":0.2437949249096225,"score_spread":0.23493541026045062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117100920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57398796,0.00001661524,0.41992372,0.00016737523,0.000015384661,0.0004614028,0.0000018427451,0.000019689247,0.0054060225],"genre_scores_gemma":[0.8879289,0.00008737302,0.11167142,0.00012099596,0.000006459831,0.000018066252,0.0000047948006,0.0000054782904,0.00015649095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852294,0.000063168394,0.0002142311,0.00051718083,0.00039453665,0.0002879247],"domain_scores_gemma":[0.9996101,0.00010222503,0.0001274741,0.000118795986,0.0000070483597,0.000034323984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016231315,0.00016649973,0.00015268526,0.000099404,0.0007419507,0.00019220244,0.00019447951,0.00004535396,0.0000026226814],"category_scores_gemma":[0.00001378839,0.000101918304,0.000016843356,0.00029565187,0.00033346328,0.00028611172,0.00019548881,0.0002474016,6.6367414e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006178218,0.000061109444,0.039092567,0.00004071511,0.00004005157,0.0000013838167,0.011275002,0.8441596,0.019810563,0.0025742606,0.00007328547,0.08280968],"study_design_scores_gemma":[0.0006312982,0.000094983785,0.00879231,0.000028017175,0.000051266474,8.124029e-7,0.0032227242,0.9780976,0.0012691917,0.00766361,0.000023932058,0.00012425515],"about_ca_topic_score_codex":0.0010361813,"about_ca_topic_score_gemma":0.004509233,"teacher_disagreement_score":0.313941,"about_ca_system_score_codex":0.00006849326,"about_ca_system_score_gemma":0.000028531886,"threshold_uncertainty_score":0.570656},"labels":[],"label_agreement":null},{"id":"W7117105449","doi":"10.3390/app16010190","title":"A Comprehensive Review on Pre- and Post-Harvest Perspectives of Potato Quality and Non-Destructive Assessment Approaches","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Canadian Light Source (Canada); Lethbridge College; University of Manitoba","funders":"","keywords":"Food security; Quality (philosophy); Context (archaeology); Agriculture; Food quality","score_opus":0.08072467653021309,"score_gpt":0.3500200659621863,"score_spread":0.26929538943197323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117105449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837154,0.0028169728,0.0000018594787,0.0021841682,0.000011692458,0.0005148457,0.000039376107,0.0000122462525,0.010703417],"genre_scores_gemma":[0.9977908,0.0014454356,0.0003621796,0.00030861748,0.000010597302,0.000038388942,0.0000069003577,3.1266583e-7,0.00003678094],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987277,0.00010638602,0.00019002425,0.00045389577,0.00031839844,0.00020362991],"domain_scores_gemma":[0.99901253,0.0007018261,0.00009325695,0.000054064596,0.00007360504,0.000064730775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064354495,0.00012097777,0.0002731534,0.000028139031,0.0002651788,0.000066346125,0.00023571771,0.00003653928,0.00001392266],"category_scores_gemma":[0.00005425648,0.000046164238,0.00002904586,0.00046355746,0.0009096196,0.00009058671,0.00015757688,0.00011927413,0.0000010114038],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016121921,0.00036198177,0.037653144,0.0012255858,0.00008491166,0.0000023098748,0.0017192117,0.000004046401,0.6127666,0.18932873,0.00020718633,0.15648505],"study_design_scores_gemma":[0.000092592294,0.00024180725,0.9873471,0.00019137963,0.000009106004,0.0000025514476,0.007881105,0.00002428775,0.0017112277,0.0022471582,0.00014606687,0.00010562028],"about_ca_topic_score_codex":0.00034639036,"about_ca_topic_score_gemma":0.00007063166,"teacher_disagreement_score":0.949694,"about_ca_system_score_codex":0.000017157596,"about_ca_system_score_gemma":0.000041692616,"threshold_uncertainty_score":0.33515313},"labels":[],"label_agreement":null},{"id":"W7117129762","doi":"10.3390/app16010194","title":"Left Atrial 4D Flow Characteristics in Patients with Atrial Fibrillation: Comparison with Healthy Controls and Associations with Left Atrial Remodelling and Contractile Health","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Calgary Health Foundation; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Contractility; Atrial fibrillation; Thrombus; Pulmonary vein; Blood stasis; Left atrium; Magnetic resonance imaging; Ejection fraction","score_opus":0.03237869724838558,"score_gpt":0.3182844279986951,"score_spread":0.2859057307503095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117129762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877809,0.00027906333,0.0040679695,0.00478392,0.00025073052,0.0022783207,0.000028381965,0.000056784094,0.00047387235],"genre_scores_gemma":[0.99394274,0.00006732076,0.004815875,0.0002727374,0.0007565315,5.618419e-7,0.000081183585,0.000011380475,0.00005164548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793184,0.00007830513,0.00059201336,0.0004704535,0.0005648864,0.00036249866],"domain_scores_gemma":[0.99856716,0.00057890406,0.00047765838,0.0001407176,0.000103730505,0.00013179776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008607437,0.00021568009,0.0007874311,0.00023731246,0.0006230007,0.00020667599,0.000067761874,0.00008349227,0.000010223205],"category_scores_gemma":[0.000094937786,0.00014946288,0.000057014997,0.0003981605,0.0002932271,0.00020838193,0.000034774213,0.00016924595,0.0000011368594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054671355,0.0000065838913,0.98383456,0.0000404432,0.0001014263,6.288041e-7,0.00036800504,0.004127828,0.0000024631427,0.0018404403,0.00003164573,0.0041788397],"study_design_scores_gemma":[0.021659896,0.0015663077,0.9507827,0.00013475858,0.0002613349,0.0000018705294,0.00037942166,0.022410715,0.0000035833425,0.0001364093,0.002397786,0.00026522152],"about_ca_topic_score_codex":0.00009929927,"about_ca_topic_score_gemma":0.00035956895,"teacher_disagreement_score":0.033051863,"about_ca_system_score_codex":0.00010997706,"about_ca_system_score_gemma":0.0005385329,"threshold_uncertainty_score":0.60949194},"labels":[],"label_agreement":null},{"id":"W7117130020","doi":"10.3390/app16010195","title":"Optimization of Stocking Density of Eisenia fetida in Bioconversion Process of Pulp and Paper Mill Sludge (PPMS) and Its Population Dynamics","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Mitacs","keywords":"Eisenia fetida; Vermicompost; Bioconversion; Earthworm; Population; Biomass (ecology); Paper mill","score_opus":0.011333422838944505,"score_gpt":0.2412960395833873,"score_spread":0.2299626167444428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117130020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993352,0.00006043825,0.000051984738,0.00012422365,0.0000128806005,0.00015555813,0.0000046767295,0.000015306552,0.00023970086],"genre_scores_gemma":[0.9990091,0.000025420419,0.00093774975,0.000012560363,0.000003018494,0.00000195007,0.0000072052276,2.5767457e-7,0.0000027642004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994412,0.000020734746,0.00018852229,0.00016673277,0.00010799946,0.000074806245],"domain_scores_gemma":[0.9996463,0.00012931185,0.00013830168,0.000021401718,0.000051426377,0.000013226976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033331529,0.00005636284,0.00013577392,0.000042633317,0.0000847711,0.0000093823355,0.000100663994,0.000044673667,0.0000022492886],"category_scores_gemma":[0.000043067845,0.00002747945,0.000011088315,0.00047114334,0.00011036228,0.00006889075,0.00006974072,0.000033371027,1.8932235e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003997226,0.00004736044,0.35039157,0.000111513116,0.0000024855478,1.0020673e-7,0.00018361515,0.0010623955,0.6264203,0.0024942947,0.0000022256406,0.019244177],"study_design_scores_gemma":[0.00019859243,0.00018796495,0.7201216,0.0003174216,0.000014050472,0.000001400461,0.0008776689,0.08703582,0.18781766,0.0032739756,0.0000030685783,0.00015073437],"about_ca_topic_score_codex":0.000337786,"about_ca_topic_score_gemma":0.0002562156,"teacher_disagreement_score":0.43860266,"about_ca_system_score_codex":0.000008115443,"about_ca_system_score_gemma":0.0000068036056,"threshold_uncertainty_score":0.11205794},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W7117152735","doi":"10.3390/app16010208","title":"Hybrid AI Systems for Tool Wear Monitoring in Manufacturing: A Systematic Review","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interpretability; Hybrid system; Expert system; Sustainability; Tool wear","score_opus":0.02032451112018251,"score_gpt":0.26154920088131595,"score_spread":0.24122468976113343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117152735","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16845316,0.061551034,0.064398505,0.000869586,0.006352291,0.021277554,0.00007425994,0.0021728505,0.67485076],"genre_scores_gemma":[0.9983778,0.00030984575,0.00014693175,0.00006244446,0.00002443786,0.00093096145,9.866592e-7,0.000007011871,0.00013957132],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99900717,0.000007620273,0.00043039687,0.0001451542,0.00018576423,0.00022387791],"domain_scores_gemma":[0.99968857,0.000121029465,0.000031181444,0.00012415083,0.000011655539,0.000023432807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056288403,0.00011189774,0.0002803459,0.00013522035,0.00006870362,0.0001683972,0.00029635063,0.000032593187,0.0000020888356],"category_scores_gemma":[0.00002414917,0.000096656295,0.000034789115,0.00024697042,0.00003879001,0.00026353772,0.000013733901,0.000095446965,0.00002236935],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032507917,0.000025985566,0.00009743463,0.866462,0.00006023049,0.0000029676066,0.00021114883,0.07921733,0.00044114815,0.04993583,0.0026016461,0.0009410651],"study_design_scores_gemma":[0.002162009,0.00009917152,0.0003231972,0.7168257,0.0003879341,0.000065072905,0.0071775755,0.071674384,0.17834723,0.0105539,0.00980185,0.002581953],"about_ca_topic_score_codex":0.0000021993546,"about_ca_topic_score_gemma":1.8925168e-7,"teacher_disagreement_score":0.82992464,"about_ca_system_score_codex":0.00006903947,"about_ca_system_score_gemma":0.000026123302,"threshold_uncertainty_score":0.39415294},"labels":[],"label_agreement":null},{"id":"W7117309522","doi":"10.3390/app16010247","title":"Subclinical Neck Pain Alters Gaze Stability During the Vestibulo-Ocular Reflex","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subclinical infection; Reflex; Gaze; Neck pain; Balance (ability); Vestibulo–ocular reflex","score_opus":0.03629788430627095,"score_gpt":0.30454735116016385,"score_spread":0.2682494668538929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117309522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773891,0.00006209185,0.0011071372,0.0028917522,0.0005682283,0.0003873045,0.000003992184,0.00013420047,0.017456183],"genre_scores_gemma":[0.99629086,0.000016821507,0.00027151513,0.0031016364,0.00007792631,0.000045063327,4.934628e-7,0.0000066301345,0.0001890601],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976098,0.00030124543,0.00032169334,0.00078289176,0.0005050577,0.00047930967],"domain_scores_gemma":[0.9983749,0.0009398592,0.00008960381,0.0004928817,0.000016220974,0.00008656664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022558828,0.00017233669,0.00018268483,0.000071160306,0.0011782674,0.00019301847,0.0010582069,0.00006272657,0.00008993995],"category_scores_gemma":[0.0015786978,0.00011587053,0.00007473633,0.0010206482,0.0019377659,0.00014104244,0.00019698375,0.00026788356,0.00007922201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014530454,0.00042998235,0.025833882,0.00015031286,0.00001881499,0.00002563541,0.0010879282,0.008677275,0.8740987,0.0687234,0.0052756025,0.015533139],"study_design_scores_gemma":[0.002205631,0.00044141104,0.05380569,0.00016045515,0.00006880819,0.000012759927,0.003869871,0.011416406,0.80853325,0.05627575,0.061774082,0.001435898],"about_ca_topic_score_codex":0.000014040708,"about_ca_topic_score_gemma":0.000015607879,"teacher_disagreement_score":0.06556549,"about_ca_system_score_codex":0.000036844667,"about_ca_system_score_gemma":0.00017703022,"threshold_uncertainty_score":0.90624},"labels":[],"label_agreement":null},{"id":"W7117473090","doi":"10.3390/app16010275","title":"Optimization of Lensless Imaging Using Ray Tracing","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ray tracing (physics); Tracing; Microscopy; Zemax; Lens (geology); Focus (optics); Microscope; Achromatic lens; Visualization","score_opus":0.011152181037452115,"score_gpt":0.2736255422139007,"score_spread":0.26247336117644854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117473090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39536428,0.000034647488,0.43954143,0.000013025514,0.00009772651,0.000060788407,0.0000032988435,0.000010246919,0.16487457],"genre_scores_gemma":[0.98962355,2.5430006e-7,0.010312258,0.000024178982,0.000011783503,0.000002201105,0.0000016593794,0.000001499482,0.000022641168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996121,0.0000041382345,0.00009885786,0.00012578751,0.000052977422,0.00010616196],"domain_scores_gemma":[0.99985284,0.000020331232,0.000047980328,0.000053940505,0.000014594192,0.000010295893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011107822,0.00004704635,0.00007133804,0.00008052382,0.00013085442,0.000047768448,0.00010965617,0.0000067848246,0.000017641381],"category_scores_gemma":[6.742167e-7,0.000041719246,0.000028199907,0.0004122561,0.00020602696,0.00012615336,0.000024711517,0.000024641051,5.7376707e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000111090885,0.00012908697,0.05482958,0.000028162187,0.000028786022,2.0859709e-7,0.00055549503,0.3714364,0.13322514,0.3742973,0.00008210854,0.06537666],"study_design_scores_gemma":[0.0010583856,0.0000314725,0.0022569352,0.00022322699,0.00008428842,5.2425025e-7,0.012556762,0.10901811,0.82690614,0.04695725,0.00033649718,0.0005703775],"about_ca_topic_score_codex":0.000024438958,"about_ca_topic_score_gemma":1.6034595e-7,"teacher_disagreement_score":0.69368106,"about_ca_system_score_codex":0.0000026060716,"about_ca_system_score_gemma":0.00003228799,"threshold_uncertainty_score":0.17012614},"labels":[],"label_agreement":null}]}