{"meta":{"query_hash":"5923746c453d","filters":{"venue":"SN Applied Sciences"},"cohort_total":97,"direct_labels_cover":0,"predictions_cover":97,"exported":97,"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/5923746c453d","api":"https://metacan.xera.ac/api/v1/cohort?venue=SN+Applied+Sciences"},"results":[{"id":"W2802974022","doi":"10.1007/s42452-019-0526-0","title":"Effects of process variables on the mechanical and physical properties of an Al–Cu–Mg powder metallurgy alloy","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"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":"Materials science; Ductility (Earth science); Sizing; Ultimate tensile strength; Powder metallurgy; Sintering; Differential scanning calorimetry; Alloy; Metallurgy; Yield (engineering); Aluminium; Tensile testing; Precipitation; Composite material; Creep; Chemistry","score_opus":0.010497524703686952,"score_gpt":0.20382036118649202,"score_spread":0.19332283648280507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802974022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649733,0.00012985873,0.000029182158,0.00005897645,0.00006924433,0.00041931294,7.19307e-7,0.00006449737,0.0027309016],"genre_scores_gemma":[0.9994936,0.0000070455717,0.00032818678,0.00006690026,0.000020304013,0.00004695538,2.893809e-7,0.00001550166,0.000021241429],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892616,0.000033228527,0.00016841576,0.00025153768,0.00040633205,0.0002143361],"domain_scores_gemma":[0.9995345,0.00014898022,0.00005005528,0.00019324641,0.00003068972,0.000042518433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029269853,0.0001584316,0.00027332714,0.0000577061,0.00007112237,0.00003902848,0.00042959253,0.000039708615,0.000013117743],"category_scores_gemma":[0.000022622176,0.00008713749,0.000031730524,0.00024163543,0.0004080138,0.00015357307,0.000072370276,0.000108013126,0.000010047816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024014756,0.00006177152,0.0000119930955,0.00021943833,0.00003226077,2.0962099e-7,0.0010336282,0.004967555,0.9758043,0.01757882,0.000009000873,0.00025696584],"study_design_scores_gemma":[0.00016234122,0.00024833018,0.00009021014,0.00007214284,0.000021385931,0.0000014312501,0.00056600507,0.1147622,0.8824519,0.001450325,0.000029939543,0.00014377997],"about_ca_topic_score_codex":0.000010427641,"about_ca_topic_score_gemma":0.0000021190547,"teacher_disagreement_score":0.10979465,"about_ca_system_score_codex":0.000007515062,"about_ca_system_score_gemma":0.000030004581,"threshold_uncertainty_score":0.35533637},"labels":[],"label_agreement":null},{"id":"W2903017557","doi":"10.1007/s42452-018-0063-2","title":"Failure interaction models for multicomponent systems: a comparative study","year":2018,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Failure mode and effects analysis; Component (thermodynamics); Dependency (UML); Copula (linguistics); Computer science; Interaction model; Reliability (semiconductor); Cascading failure; Statistical physics; Reliability engineering; Mathematics; Econometrics; Engineering; Physics; Artificial intelligence","score_opus":0.05392225955405584,"score_gpt":0.2933471669365086,"score_spread":0.23942490738245276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903017557","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":[0.44449657,0.000025327347,0.53718054,0.000042688825,0.00079061254,0.0017931878,0.0000059966196,0.00023450168,0.015430558],"genre_scores_gemma":[0.9933009,0.000001675537,0.0063436287,0.000007331418,0.000080759666,0.00023869966,0.000002500254,0.0000051858947,0.000019307445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934345,0.000011981241,0.00015790446,0.0001949743,0.00013200627,0.00015970829],"domain_scores_gemma":[0.99972373,0.000051408784,0.00003127515,0.00009936644,0.00006437565,0.000029855253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002915314,0.00008710492,0.00012849977,0.00006319004,0.00018590919,0.00009159065,0.00013179974,0.000026035743,0.0000054439683],"category_scores_gemma":[0.0000056136705,0.000069361035,0.00001828021,0.00018245532,0.00013619795,0.00021742421,0.000015219736,0.00004521149,0.00001817198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151934955,0.000050246483,0.000011537681,0.000018674007,0.000011038734,4.0869004e-8,0.0038416863,0.98660094,0.0020445804,0.0067407642,0.00048389882,0.00018137545],"study_design_scores_gemma":[0.00023072913,0.00012653544,0.000020976915,0.000012936294,0.0000065850895,4.6477172e-7,0.014017941,0.982936,0.0011281163,0.00079747726,0.0006300046,0.0000922201],"about_ca_topic_score_codex":0.000016044236,"about_ca_topic_score_gemma":0.000059421378,"teacher_disagreement_score":0.54880434,"about_ca_system_score_codex":0.00004925004,"about_ca_system_score_gemma":0.000010468201,"threshold_uncertainty_score":0.2828461},"labels":[],"label_agreement":null},{"id":"W2912221437","doi":"10.1007/s42452-019-0220-2","title":"ZnTe/ZnSe heterostructures: In-situ synthesis, characterization and photocatalytic activity for Congo Red degradation","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"Higher Education Commision, Pakistan","keywords":"Heterojunction; Photocatalysis; Materials science; X-ray photoelectron spectroscopy; Nanomaterials; Diffuse reflectance infrared fourier transform; Congo red; Spectroscopy; Nanotechnology; Chemical engineering; Semiconductor; Degradation (telecommunications); Optoelectronics; Chemistry; Adsorption; Catalysis","score_opus":0.015980245986278507,"score_gpt":0.26635124787850567,"score_spread":0.25037100189222716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912221437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895489,0.000008270716,0.0057076425,0.000053601936,0.00006345473,0.0012439287,0.000011592332,0.000104794286,0.0032577866],"genre_scores_gemma":[0.9969798,0.000013982463,0.0022281227,0.00007578798,0.000020277987,0.00048264887,0.000050079474,0.000015536843,0.00013379278],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987736,0.000026867672,0.00021057208,0.0005252295,0.00020528158,0.00025849653],"domain_scores_gemma":[0.99928164,0.00021348002,0.00017360452,0.00025962622,0.000026030482,0.00004559624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032381527,0.00016709953,0.00025140148,0.0001956924,0.0001299825,0.00010960965,0.00023433055,0.000088542176,0.000018561446],"category_scores_gemma":[0.000067980385,0.00014857753,0.0000335776,0.00040822715,0.00019905198,0.0005319195,0.000052280135,0.00007761311,0.000007630513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007896236,0.000018032286,0.00027731128,0.000027278498,0.0000054276334,2.035156e-7,0.00009348397,0.000053705648,0.97660226,0.0037657048,0.000003818011,0.019073823],"study_design_scores_gemma":[0.00025839062,0.0000534315,0.004352265,0.00002398153,0.000011660698,0.0000024357407,0.000082151506,0.0012700972,0.98989886,0.0029371066,0.0009107469,0.00019886298],"about_ca_topic_score_codex":0.00005735377,"about_ca_topic_score_gemma":0.00022879044,"teacher_disagreement_score":0.01887496,"about_ca_system_score_codex":0.000053464835,"about_ca_system_score_gemma":0.000029478444,"threshold_uncertainty_score":0.6058816},"labels":[],"label_agreement":null},{"id":"W2917528588","doi":"10.1007/s42452-019-0249-2","title":"Copper distribution and oxidation states near corroded fasteners in treated wood","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","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":"Collège Communautaire du Nouveau-Brunswick","funders":"Basic Energy Sciences; U.S. Forest Service; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Fastener; Copper; Corrosion; Materials science; Metallurgy; Erosion corrosion of copper water tubes; Aluminium; Composite material","score_opus":0.019790252262853324,"score_gpt":0.21628261089498965,"score_spread":0.19649235863213632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917528588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98789763,0.00002157533,0.0000023052878,0.00012244622,0.000078872145,0.00014473395,0.000028416905,0.000027914482,0.011676082],"genre_scores_gemma":[0.99885947,0.0000097599395,0.000025776651,0.000042722997,0.000026297412,0.000010256562,0.00012416588,0.0000030053702,0.0008985762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99934334,0.000018146222,0.0001381716,0.00020999645,0.00013967275,0.00015068476],"domain_scores_gemma":[0.99981743,0.000019493906,0.00005300247,0.000060702503,0.000024823226,0.00002453591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019340361,0.000081367114,0.00012875118,0.00003603017,0.00021641496,0.0004530232,0.00007761763,0.00001972134,0.00089186267],"category_scores_gemma":[0.0000042312927,0.00005654898,0.000015407657,0.000108008695,0.0003231757,0.00019318167,0.000024622248,0.000028781635,0.000091601585],"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":[0.00022016643,0.00018468703,0.02176984,0.00014581684,0.00006698205,0.000004478244,0.10063527,0.0019910662,0.40542182,0.45718658,0.0032810445,0.009092249],"study_design_scores_gemma":[0.008174206,0.0015555612,0.056249734,0.0003522109,0.00034720212,0.000010262972,0.48848003,0.06287037,0.15205847,0.026840135,0.19870748,0.0043543344],"about_ca_topic_score_codex":0.0007004808,"about_ca_topic_score_gemma":0.0013922944,"teacher_disagreement_score":0.43034646,"about_ca_system_score_codex":0.000025716317,"about_ca_system_score_gemma":0.000012204667,"threshold_uncertainty_score":0.9765271},"labels":[],"label_agreement":null},{"id":"W2919923656","doi":"10.1007/s42452-019-0305-y","title":"Multitaper MFCC and normalized multitaper phase-based features for speaker verification","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Multitaper; Computer science; Mel-frequency cepstrum; Speech recognition; Mixture model; Cepstrum; Artificial intelligence; Pattern recognition (psychology); Feature extraction","score_opus":0.024312204561038043,"score_gpt":0.28563690154598187,"score_spread":0.2613246969849438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919923656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52813494,0.00028989336,0.3883621,0.0035555013,0.0013229966,0.0030018433,0.000047803187,0.000588043,0.07469685],"genre_scores_gemma":[0.79773086,0.0000056561275,0.20080161,0.0009963855,0.000030936804,0.00009288131,0.000006242997,0.000006470368,0.00032895477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986295,0.000026925023,0.00017346056,0.0005646143,0.00032070748,0.0002848],"domain_scores_gemma":[0.99919295,0.0002896299,0.00007935551,0.0002858434,0.0000635061,0.000088687644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005867186,0.00014251439,0.00017064679,0.0001483566,0.00027031766,0.0003129937,0.0005307785,0.00006536152,0.00013610773],"category_scores_gemma":[0.00005112776,0.00011206484,0.000058492755,0.00035329803,0.00018342133,0.0003436605,0.00004875591,0.00006104652,0.00016655594],"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":[0.00015978444,0.00042984763,0.0012537219,0.000080449354,0.000031726217,0.0000014586662,0.0012165126,0.00013023168,0.32948318,0.10796347,0.0027700556,0.5564796],"study_design_scores_gemma":[0.011691796,0.0006084919,0.010247409,0.00007022399,0.000043765325,0.000021292171,0.0010957,0.4361765,0.40412468,0.005440219,0.12895778,0.0015221376],"about_ca_topic_score_codex":0.000011373303,"about_ca_topic_score_gemma":0.000013298129,"teacher_disagreement_score":0.5549574,"about_ca_system_score_codex":0.000016769653,"about_ca_system_score_gemma":0.000071697876,"threshold_uncertainty_score":0.45698714},"labels":[],"label_agreement":null},{"id":"W2932557613","doi":"10.1007/s42452-019-0415-6","title":"Architectural QoS pattern to guarantee the expected quality of services at runtime for context-aware adaptation application","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"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; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Quality of service; Mobile QoS; Adaptation (eye); Android (operating system); Context (archaeology); Service-oriented architecture; Service delivery framework; Service (business); Process management; World Wide Web; Web service; Computer network; Business; Operating system; Marketing","score_opus":0.017597909861796285,"score_gpt":0.26841607564588493,"score_spread":0.25081816578408866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932557613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7673957,0.00006129699,0.22806309,0.0018409522,0.00026832416,0.0014824994,0.000020826881,0.00010843702,0.0007589233],"genre_scores_gemma":[0.9928426,0.0000011057265,0.004103513,0.0026269867,0.00009050453,0.00025871577,0.000019427973,0.000009016975,0.00004813517],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765855,0.00008010235,0.00045567495,0.00074692565,0.00066414074,0.00039459486],"domain_scores_gemma":[0.9982365,0.00046609767,0.0003537884,0.0007255409,0.00015275671,0.0000653293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007710438,0.00021715311,0.0002873058,0.00015976846,0.00042111496,0.00013813649,0.0022949392,0.00005873615,0.000015169567],"category_scores_gemma":[0.0000042361985,0.00014241197,0.000096765936,0.0010256482,0.00012057684,0.00021645281,0.0004090735,0.000092024704,0.00009224825],"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":[0.00043873614,0.00023192937,0.0103970505,0.00079086644,0.00012173616,4.6873967e-7,0.13666153,0.026039125,0.24110423,0.15664895,0.00011016307,0.42745522],"study_design_scores_gemma":[0.0044213827,0.0013880782,0.090271525,0.00029066333,0.00007505585,0.000021451877,0.046656594,0.5911152,0.21409868,0.036535963,0.012812097,0.0023133662],"about_ca_topic_score_codex":0.0010580726,"about_ca_topic_score_gemma":0.0040785517,"teacher_disagreement_score":0.56507605,"about_ca_system_score_codex":0.000028745708,"about_ca_system_score_gemma":0.000059646933,"threshold_uncertainty_score":0.58073914},"labels":[],"label_agreement":null},{"id":"W2946366438","doi":"10.1007/s42452-019-0588-z","title":"Sub-bottom acoustic profiling as a remediation assessment tool for contaminated lakes","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Northwest Territories; Wilfrid Laurier University; Institute for Circumpolar Health Research; Geological Survey of Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Queen's University Belfast; Tides Canada; Royal Bank of Canada; Polar Knowledge Canada","keywords":"Profiling (computer programming); Environmental remediation; Environmental science; Contamination; Geology; Computer science; Ecology; Biology","score_opus":0.013829324774217529,"score_gpt":0.2912773110486136,"score_spread":0.27744798627439604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946366438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92174476,0.000013416504,0.06859636,0.0000659462,0.00019646321,0.00088505197,0.000008195154,0.00016722339,0.00832255],"genre_scores_gemma":[0.9511741,0.0000039762244,0.048238445,0.000036087375,0.00006850352,0.00039876858,0.000011383645,0.000009207985,0.00005954282],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921507,0.00000876868,0.0001483807,0.000220745,0.00018971079,0.00021731247],"domain_scores_gemma":[0.9995846,0.00018878603,0.00003704341,0.00012035638,0.00003247851,0.000036736015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040261942,0.00009391904,0.00012588207,0.000045807847,0.000119475284,0.00006905609,0.000163648,0.000041531428,0.000017106979],"category_scores_gemma":[0.000024804762,0.000080375634,0.000029776314,0.00032404313,0.000054678436,0.00007856784,0.000014579512,0.00008400057,0.00007524161],"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":[0.0000014963024,0.000015198169,0.00016622573,0.000042969998,0.0000053638146,5.1643063e-8,0.000046400284,0.005514585,0.93926275,0.04782847,0.000035094803,0.007081389],"study_design_scores_gemma":[0.0008562025,0.00021383457,0.013744643,0.000039047132,0.00004735618,0.0000010778074,0.00095850846,0.55215484,0.38737035,0.042528685,0.0014607663,0.0006246534],"about_ca_topic_score_codex":0.0000019800727,"about_ca_topic_score_gemma":0.000002296813,"teacher_disagreement_score":0.5518924,"about_ca_system_score_codex":0.000029628729,"about_ca_system_score_gemma":0.00004482105,"threshold_uncertainty_score":0.32776234},"labels":[],"label_agreement":null},{"id":"W2949672730","doi":"10.1007/s42452-019-0751-6","title":"Investigation of slip effects on electroosmotic mixing in heterogeneous microchannels based on entropy index","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Ferdowsi University of Mashhad; University of Saskatchewan","keywords":"Reynolds number; Debye–Hückel equation; Mechanics; Thermodynamics; Zeta potential; Electrokinetic phenomena; Slip (aerodynamics); Mixing (physics); Chemistry; Materials science; Physics; Turbulence; Electrolyte; Nanotechnology","score_opus":0.008264230580939409,"score_gpt":0.1925208947086496,"score_spread":0.1842566641277102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949672730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972573,0.00010141581,0.0003773305,0.00003302913,0.00020796496,0.00035253548,0.0000016674769,0.000061785075,0.001606957],"genre_scores_gemma":[0.99962425,0.000012157688,0.0001509029,0.00013275046,0.000030236173,0.000027032838,0.0000031844145,0.000012417082,0.000007091249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896187,0.000013589024,0.00020008536,0.00025467796,0.00026391723,0.0003058757],"domain_scores_gemma":[0.99965066,0.00013690724,0.00004275837,0.00012066903,0.000010381223,0.0000386361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269761,0.00015789036,0.00022864554,0.00032239058,0.00005397767,0.000012341386,0.0001650588,0.00005676231,0.000008967217],"category_scores_gemma":[0.0000051030934,0.00013778495,0.00003992361,0.0005663717,0.00007661174,0.000038492635,0.000007807765,0.000106426676,0.000026353364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045488494,0.000021380316,0.011254382,0.00024578016,0.00001406407,0.000004285513,0.00050341914,0.28324768,0.7031761,0.00065866765,0.000023629147,0.00080513087],"study_design_scores_gemma":[0.00048084083,0.00028105595,0.0033970375,0.00013469954,0.0000051453026,3.7726537e-7,0.000032898246,0.02053752,0.9737629,0.0011871676,0.000015363834,0.00016495935],"about_ca_topic_score_codex":0.0000076522565,"about_ca_topic_score_gemma":0.000012819154,"teacher_disagreement_score":0.27058682,"about_ca_system_score_codex":0.000042902804,"about_ca_system_score_gemma":0.000023791874,"threshold_uncertainty_score":0.56187075},"labels":[],"label_agreement":null},{"id":"W2951869945","doi":"10.1007/s42452-019-0666-2","title":"Compatibility of poly(dimethylsiloxane) microfluidic systems with high viscosity hydrocarbons","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"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; Innotech Alberta; Alberta Innovates","keywords":"Swelling; Hildebrand solubility parameter; Materials science; Coating; Solubility; Solvent; Curing (chemistry); Chemical engineering; Silane; Composite material; Toluene; Compatibility (geochemistry); Asphalt; Polymer; Chemistry; Organic chemistry","score_opus":0.006981019110895732,"score_gpt":0.19430427246880402,"score_spread":0.18732325335790828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951869945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9469859,0.036688942,0.0018660919,0.000020641119,0.00009752948,0.00047745949,0.000014669397,0.00013234247,0.013716423],"genre_scores_gemma":[0.9970397,0.0026771259,0.00014006783,0.000018275774,0.000022534008,0.00003437843,0.00000821738,0.000014908219,0.000044819128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987193,0.000021951819,0.0002746053,0.000343632,0.00032040646,0.00032015506],"domain_scores_gemma":[0.99936897,0.000062282845,0.00006634779,0.00040446932,0.000021702814,0.000076211196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033234994,0.00017417011,0.00030841425,0.000103706436,0.00012086413,0.000036419617,0.00040044097,0.00006308893,0.000052006955],"category_scores_gemma":[0.0000017478161,0.00013781866,0.00003625937,0.0006905646,0.00032331116,0.00005945073,0.00003312682,0.00012127182,0.00007751743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010082475,0.000032947613,0.0019817639,0.00006776674,0.00002660723,2.1186608e-7,0.00010170362,0.00013381343,0.9804754,0.014119595,0.0028819388,0.00016816401],"study_design_scores_gemma":[0.0004063348,0.0001818673,0.0060152356,0.000037844606,0.000038125403,0.0000083154555,0.00043577174,0.0010631545,0.9857296,0.0007612355,0.004911743,0.0004108135],"about_ca_topic_score_codex":0.00019832852,"about_ca_topic_score_gemma":0.000004263526,"teacher_disagreement_score":0.05005377,"about_ca_system_score_codex":0.000047553243,"about_ca_system_score_gemma":0.000068879206,"threshold_uncertainty_score":0.5620082},"labels":[],"label_agreement":null},{"id":"W2962847115","doi":"10.1007/s42452-019-0951-0","title":"Phytofabrication of iron nanoparticles and their catalytic activity","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"Université de Fribourg; National Commission for Science, Technology and Innovation; Fonds National de la Recherche Luxembourg","keywords":"Congo red; Nanoparticle; Dynamic light scattering; Diffractometer; Nuclear chemistry; Photocatalysis; Thermogravimetric analysis; Fourier transform infrared spectroscopy; Aqueous solution; Transmission electron microscopy; Materials science; Redox; Chemistry; Cyclic voltammetry; Catalysis; Chemical engineering; Inorganic chemistry; Electrochemistry; Nanotechnology; Crystal structure; Organic chemistry; Adsorption; Physical chemistry","score_opus":0.01680004206515183,"score_gpt":0.23814257331218866,"score_spread":0.22134253124703684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962847115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959073,0.00006450169,0.000112590744,0.0002313499,0.000037066075,0.00023024203,0.000008114038,0.00003200876,0.0033768145],"genre_scores_gemma":[0.999304,0.000007038059,0.0005805666,0.00002592855,0.000013459247,0.000032636683,4.1538394e-7,0.0000041932394,0.000031761658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991659,0.000020329922,0.00014765885,0.00030790453,0.00016882054,0.0001893796],"domain_scores_gemma":[0.99945974,0.00012440023,0.00012095813,0.00022737034,0.000019228599,0.000048306334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050593005,0.000084301035,0.00014487952,0.000042719817,0.00014475535,0.0000554821,0.00022799613,0.000024267698,0.00008285225],"category_scores_gemma":[0.000012857794,0.00005974575,0.000019019499,0.00029904617,0.00040918915,0.00015858536,0.00006655429,0.000026509812,0.00014985852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056951976,0.00004476653,0.0010497953,0.000013122044,7.4383547e-7,1.1517364e-8,0.00021487572,0.000030975378,0.9818609,0.010682047,0.0000122288375,0.0060848612],"study_design_scores_gemma":[0.000085393134,0.000030548646,0.010701518,0.000007357136,0.0000040687446,7.017052e-7,0.00031969548,0.00054552464,0.9859225,0.0021862336,0.000115692936,0.00008075679],"about_ca_topic_score_codex":0.000028885528,"about_ca_topic_score_gemma":0.0000064353962,"teacher_disagreement_score":0.009651722,"about_ca_system_score_codex":0.000011048848,"about_ca_system_score_gemma":0.00003731815,"threshold_uncertainty_score":0.2436361},"labels":[],"label_agreement":null},{"id":"W2963773692","doi":"10.1007/s42452-019-0912-7","title":"Vulnerability of crop yields to variations in growing season precipitation in Uganda","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geography; Socioeconomics; Poverty; Population; Vulnerability (computing); Census; Food security; Economic growth; Agriculture; Demography; Economics; Sociology","score_opus":0.03680613116551292,"score_gpt":0.2749737671885644,"score_spread":0.2381676360230515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963773692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912142,0.000013416338,0.0000032297703,0.0018357261,0.00008937889,0.00047328975,0.000016876806,0.000018238243,0.0063356506],"genre_scores_gemma":[0.9994859,0.0000034840245,0.0002204897,0.00018373832,0.000034812263,0.000027157088,0.000011464157,3.9454184e-7,0.00003256361],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988605,0.000048193535,0.00023043755,0.00032108236,0.0002839001,0.00025588772],"domain_scores_gemma":[0.9995151,0.00026758556,0.00007266211,0.000047985395,0.000034845874,0.00006178544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008709698,0.00009189341,0.00016437177,0.000044225606,0.00007279866,0.00005393314,0.00026840216,0.000074655785,0.00030557252],"category_scores_gemma":[0.000120251585,0.000035747966,0.000027483793,0.0017305124,0.000052120704,0.00023179127,0.000060113038,0.00009870623,0.000032120977],"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":[0.000021303535,0.00011320124,0.15218697,0.000012215397,0.0000011767854,2.663955e-7,0.0016890331,0.0011453432,0.83296067,0.0026518577,0.00005083239,0.009167157],"study_design_scores_gemma":[0.00012383159,0.00014002778,0.98571527,0.00003610301,0.0000014610107,3.6738058e-7,0.0027118712,0.00026999443,0.009277617,0.0014148075,0.00017844382,0.00013018803],"about_ca_topic_score_codex":0.00050564454,"about_ca_topic_score_gemma":0.0049720732,"teacher_disagreement_score":0.83352834,"about_ca_system_score_codex":0.0000535003,"about_ca_system_score_gemma":0.000013844396,"threshold_uncertainty_score":0.33458048},"labels":[],"label_agreement":null},{"id":"W2967536394","doi":"10.1007/s42452-019-1067-2","title":"Design of compact tri and quad band band-pass filters using stub loaded resonators for wireless applications","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Resonator; Stub (electronics); WiMAX; Wireless; Bandwidth (computing); Multi-band device; GSM; Band-pass filter; Electronic engineering; Helical resonator; Materials science; Acoustics; Optoelectronics; Physics; Electrical engineering; Computer science; Engineering; Telecommunications","score_opus":0.030741112399849946,"score_gpt":0.25129031586278006,"score_spread":0.2205492034629301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967536394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5866853,0.00034183313,0.4105959,0.000013762414,0.00010650175,0.00074165245,0.000019401674,0.0000959933,0.0013996676],"genre_scores_gemma":[0.9924317,0.000016676526,0.0074476036,0.0000080584605,0.000027422457,0.000025581034,0.0000026742778,0.000015872709,0.00002440222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918854,0.000008658117,0.00020171714,0.00022019718,0.00014364487,0.0002372225],"domain_scores_gemma":[0.9995439,0.00019262402,0.000042779273,0.00014095857,0.000019509715,0.000060238424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039710186,0.00013377448,0.00021496054,0.00013096785,0.00009874646,0.000045260913,0.00018380486,0.000051766063,0.00000915382],"category_scores_gemma":[0.000004814811,0.00012085232,0.000028704091,0.00030565093,0.00013371426,0.00006614469,0.000009251875,0.000062430576,0.0000033422923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001118631,0.000010648549,0.00016844536,0.0001475433,0.000021845735,7.899249e-8,0.00030663965,0.25659987,0.7395033,0.0020882029,0.00024795101,0.0008942304],"study_design_scores_gemma":[0.0007852022,0.00007924584,0.00038850663,0.00006904234,0.000030320294,0.000003863879,0.00061552273,0.40602764,0.58905977,0.0010241416,0.0015056741,0.00041107132],"about_ca_topic_score_codex":0.000009908282,"about_ca_topic_score_gemma":8.751797e-7,"teacher_disagreement_score":0.40574643,"about_ca_system_score_codex":0.000026219008,"about_ca_system_score_gemma":0.00002954171,"threshold_uncertainty_score":0.49282146},"labels":[],"label_agreement":null},{"id":"W2969308668","doi":"10.1007/s42452-019-1109-9","title":"Landfill site selection using GIS-based multi-criteria evaluation (case study: SaharKhiz Region located in Gilan Province in Iran)","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Fuzzy logic; Analytic hierarchy process; Site selection; Hierarchy; Computer science; Data mining; Selection (genetic algorithm); Flexibility (engineering); Mathematics; Operations research; Artificial intelligence; Statistics","score_opus":0.08302083994863164,"score_gpt":0.33290320681100527,"score_spread":0.24988236686237364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969308668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944253,0.0000066469806,0.000606532,0.000036072368,0.000091969996,0.0024228825,0.0000010146541,0.000031419313,0.0023781585],"genre_scores_gemma":[0.99873936,7.130816e-7,0.0010210763,0.00008217685,0.0000112811185,0.000078173376,0.0000047206468,0.000010409258,0.000052087922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765426,0.00023461324,0.0003321814,0.00069907843,0.0006848209,0.00039507286],"domain_scores_gemma":[0.99950165,0.000036578327,0.00013996568,0.00025785496,0.00000833579,0.000055629724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024362362,0.00017391883,0.00018291168,0.00025096335,0.00016746424,0.00009864623,0.00029569256,0.000054149812,0.0003163735],"category_scores_gemma":[0.000022577877,0.00015928232,0.000020113584,0.0014892084,0.00014234344,0.00030288132,0.00016909954,0.00013832445,0.00011011454],"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":[0.000040944622,0.00029965793,0.42066827,0.000015015931,0.0000017636271,0.00003707812,0.0012158472,0.57100666,0.004771072,0.000009943655,0.0000087563285,0.0019249887],"study_design_scores_gemma":[0.0015142763,0.00013175541,0.051957093,0.00002752193,0.000009961114,0.000010230013,0.0028069601,0.94283193,0.00043452362,0.000026816935,0.000037834987,0.0002110952],"about_ca_topic_score_codex":0.012620158,"about_ca_topic_score_gemma":0.048006915,"teacher_disagreement_score":0.37182528,"about_ca_system_score_codex":0.0005925029,"about_ca_system_score_gemma":0.000043201442,"threshold_uncertainty_score":0.9939549},"labels":[],"label_agreement":null},{"id":"W2970647240","doi":"10.1007/s42452-019-1129-5","title":"Investigation of the moderating effect of race-based personalization of behavior model design in fitness application","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"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; Australian Government; University of Saskatchewan","keywords":"Personalization; Psychology; Context (archaeology); Race (biology); Social psychology; Outcome (game theory); White (mutation); Theory of planned behavior; Empirical research; Computer science; World Wide Web; Artificial intelligence; Control (management)","score_opus":0.08561646638672885,"score_gpt":0.3755680539990516,"score_spread":0.28995158761232276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970647240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96853375,0.000023401533,0.029625455,0.00003555918,0.00006361223,0.0010280234,0.0000062455506,0.000006279761,0.00067768176],"genre_scores_gemma":[0.9984071,2.3721353e-7,0.0012853054,0.000019332594,0.0000036475687,0.0002441595,0.0000049912173,0.000004152274,0.0000310495],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900836,0.00014448447,0.0003395516,0.00017874876,0.00021646483,0.00011240648],"domain_scores_gemma":[0.99934584,0.00010061554,0.00031830533,0.00016835306,0.00004635857,0.00002054997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010202478,0.00006491306,0.00015302896,0.000105844934,0.00005651289,0.000004361274,0.00020051327,0.000063363754,0.000040448256],"category_scores_gemma":[0.000011184394,0.000046895166,0.000045001492,0.00051678624,0.00024055158,0.000056242883,0.000013971967,0.00006472818,0.000002924568],"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":[0.00015334938,0.00017087378,0.42553815,0.00025484792,0.0000032552737,3.460891e-8,0.002878683,0.074544385,0.4567314,0.028418522,0.000031390733,0.011275076],"study_design_scores_gemma":[0.0011415809,0.0004822038,0.12594594,0.00016121217,0.000037148435,3.430603e-7,0.0004882833,0.49756554,0.37292263,0.0011334538,7.49651e-7,0.00012090532],"about_ca_topic_score_codex":0.00015644253,"about_ca_topic_score_gemma":0.000025262128,"teacher_disagreement_score":0.42302117,"about_ca_system_score_codex":0.000021069727,"about_ca_system_score_gemma":0.000099500765,"threshold_uncertainty_score":0.19123293},"labels":[],"label_agreement":null},{"id":"W2973589817","doi":"10.1007/s42452-019-1096-x","title":"Effect of precursors on the structural, magnetic, dielectric, microwave and electromagnetic properties of Co–Zr doped nanocrystalline strontium hexaferrites synthesized via sol–gel method","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"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":"University Grants Commission","keywords":"Materials science; Nanocrystalline material; Dielectric; Sol-gel; Analytical Chemistry (journal); Ferrite (magnet); Ethylene glycol; Strontium; Microwave; Dopant; Doping; Chemical engineering; Composite material; Nanotechnology; Chemistry; Organic chemistry; Optoelectronics","score_opus":0.010158446303513782,"score_gpt":0.2323501105904457,"score_spread":0.2221916642869319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973589817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98820883,0.003129802,0.00006614404,0.00030318773,0.00009748551,0.0013733689,0.000013404812,0.000039593546,0.0067681745],"genre_scores_gemma":[0.99565995,0.000085772605,0.0037021455,0.000056463246,0.000029049881,0.00007896263,0.000001042311,0.000020561003,0.00036604732],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968085,0.0005362739,0.00060276734,0.0006863588,0.0007432909,0.00062279525],"domain_scores_gemma":[0.9976938,0.0013045829,0.00035435378,0.0004822881,0.000079426405,0.00008557597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026579627,0.00038307218,0.00076843874,0.00015949192,0.00028324287,0.0001482922,0.000950921,0.00010170591,0.000805194],"category_scores_gemma":[0.00027665475,0.00019932837,0.000105173865,0.00028135104,0.0011897356,0.00012302808,0.00014798835,0.00015574766,0.000021531005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006062468,0.000034412795,0.000069635666,0.00023978064,0.000012288551,2.9668968e-7,0.00036137036,0.00003250163,0.9899563,0.0012138248,0.000036267975,0.00743708],"study_design_scores_gemma":[0.00047985456,0.0038360467,0.00023486277,0.00009952036,0.000056299275,0.000007607875,0.00018576776,0.0034988835,0.99078363,0.0004615324,0.00009093761,0.00026505475],"about_ca_topic_score_codex":0.00016196868,"about_ca_topic_score_gemma":0.00002177147,"teacher_disagreement_score":0.007451116,"about_ca_system_score_codex":0.000019773644,"about_ca_system_score_gemma":0.00009314375,"threshold_uncertainty_score":0.88163096},"labels":[],"label_agreement":null},{"id":"W2975697378","doi":"10.1007/s42452-019-1277-7","title":"Free vibration analysis of infinitely long thick-walled hollow elliptical cylinder","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Manitoba","funders":"CMC Microsystems","keywords":"Vibration; Multiphysics; Cylinder; Finite element method; Mathieu function; Shell theory; Shell (structure); Mechanics; Elasticity (physics); Geometry; Mathematical analysis; Physics; Mathematics; Structural engineering; Materials science; Engineering; Acoustics; Composite material","score_opus":0.008239220970976593,"score_gpt":0.21518944240741802,"score_spread":0.20695022143644143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975697378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86084515,0.000070040645,0.08033998,0.000049823368,0.00013101428,0.00014631638,0.0000062918707,0.000081795726,0.058329575],"genre_scores_gemma":[0.9958953,0.000013801286,0.00396427,0.000038115442,0.000026950414,0.0000029890814,0.000021763906,0.0000059622653,0.00003082024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990129,0.000011626435,0.00025703156,0.00020871169,0.0003574275,0.00015229564],"domain_scores_gemma":[0.99954456,0.00007003792,0.000056690573,0.00025222186,0.00003776981,0.000038719634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024205094,0.000104689665,0.0002649315,0.00042951744,0.00006485748,0.00007278667,0.0002762453,0.0000671171,0.00043149324],"category_scores_gemma":[0.000009921345,0.000085840846,0.00010820766,0.0021597052,0.00008005333,0.00011854178,0.000036379377,0.000081386075,0.000015503156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044924104,0.000007139981,0.0052856477,0.000009641464,0.00019968797,1.5964606e-7,0.00024123547,0.9731731,0.013548103,0.006817613,0.000022298722,0.00069092656],"study_design_scores_gemma":[0.00017653909,0.000021458934,0.030039813,0.000004007879,0.0003179868,1.9786373e-7,0.00010344544,0.96312284,0.0053522005,0.00065447466,0.000056153916,0.00015086468],"about_ca_topic_score_codex":0.000008665756,"about_ca_topic_score_gemma":0.000100062905,"teacher_disagreement_score":0.13505016,"about_ca_system_score_codex":0.000016613554,"about_ca_system_score_gemma":0.000017989942,"threshold_uncertainty_score":0.47245485},"labels":[],"label_agreement":null},{"id":"W2980142193","doi":"10.1007/s42452-019-1406-3","title":"Improvement in mechanical and structural properties of poly(ethylene terephthalate) nanohybrid","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Materials science; Composite material; Toughness; Fourier transform infrared spectroscopy; Filler (materials); Dispersion (optics); Nanocomposite; Polymer; Thermal stability; Vickers hardness test; Modulus; Casting; Dynamic mechanical analysis; Chemical engineering; Microstructure","score_opus":0.014652576067768448,"score_gpt":0.22284277304974978,"score_spread":0.20819019698198132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980142193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964103,0.0011349741,0.0000038753697,0.000119453674,0.00019694288,0.0003058159,0.000005031587,0.000020941934,0.0018026332],"genre_scores_gemma":[0.9991787,0.000014015121,0.00059160433,0.00007706093,0.00001796085,0.000015985392,3.9113453e-7,0.0000055907267,0.000098698976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986653,0.000026411519,0.00029564873,0.0003796783,0.00031482798,0.0003181609],"domain_scores_gemma":[0.99964917,0.000020757816,0.00010023834,0.00016297099,0.000015674777,0.00005119395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040848,0.0001310264,0.00023776274,0.00008852424,0.000097048454,0.00008479893,0.00033522784,0.000039043585,0.00016104647],"category_scores_gemma":[0.000005876292,0.000082981205,0.000022994702,0.00017805283,0.00036723545,0.0001766015,0.0002081363,0.00005959272,0.000026130027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004320429,0.000012367931,0.0010258681,0.00004088712,0.0000017408511,4.2082561e-7,0.0003190772,0.000009570452,0.9926904,0.0020990297,0.0000014763622,0.00375597],"study_design_scores_gemma":[0.00027093402,0.00019854863,0.0010707577,0.000041288393,0.000003034144,0.000005532216,0.00027415558,0.00039728248,0.99656683,0.0010124154,0.000022950564,0.00013627036],"about_ca_topic_score_codex":0.0003290157,"about_ca_topic_score_gemma":0.000019042565,"teacher_disagreement_score":0.0038764433,"about_ca_system_score_codex":0.000016123464,"about_ca_system_score_gemma":0.00005916897,"threshold_uncertainty_score":0.33838752},"labels":[],"label_agreement":null},{"id":"W2980806494","doi":"10.1007/s42452-019-1418-z","title":"Optimal attack-aware RWA for scheduled lightpath demands","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"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; Computer network; Physical layer; Schedule; Jamming; Real-time computing; Telecommunications","score_opus":0.015807466594815113,"score_gpt":0.25275367804825394,"score_spread":0.23694621145343883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980806494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79675615,0.00036113503,0.16835445,0.00015661484,0.00048391256,0.00082262093,0.000008082143,0.0016586534,0.0313984],"genre_scores_gemma":[0.8262308,0.000017966811,0.17345709,0.000030433997,0.00005516035,0.000090771246,0.0000025337004,0.000017080823,0.00009812764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988412,0.0000022674833,0.00016641039,0.0003235588,0.00019362218,0.00047292706],"domain_scores_gemma":[0.9995565,0.0001198352,0.000026598498,0.00022323272,0.000020054767,0.000053779844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018692022,0.00016143771,0.00019940779,0.000083495164,0.00013458918,0.000054863303,0.0004781473,0.00011254218,0.000049689537],"category_scores_gemma":[0.000018661047,0.00013243493,0.00004565175,0.00043532686,0.00023852235,0.00013967275,0.00008148894,0.0001364017,0.00017583123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022541319,0.000024662131,0.00050710415,0.000105972445,0.00002357862,0.0000013047268,0.000107701846,0.8685181,0.008691131,0.105306394,0.0013056912,0.015385798],"study_design_scores_gemma":[0.0009676518,0.0002595976,0.0003194617,0.00006299852,0.000019515188,0.0000042581037,0.0013759534,0.939521,0.030909644,0.010713428,0.014967673,0.0008788092],"about_ca_topic_score_codex":1.5199197e-7,"about_ca_topic_score_gemma":0.0000011835649,"teacher_disagreement_score":0.094592966,"about_ca_system_score_codex":0.000032346667,"about_ca_system_score_gemma":0.000017088822,"threshold_uncertainty_score":0.54005396},"labels":[],"label_agreement":null},{"id":"W2981752183","doi":"10.1007/s42452-019-1524-y","title":"Development of an HLFS agricultural tire model using FEA technique","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"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":"Tread; Finite element method; Stiffness; Natural rubber; Structural engineering; Materials science; Mechanical engineering; Computer science; Automotive engineering; Engineering; Composite material","score_opus":0.020350129076632306,"score_gpt":0.23320704037326126,"score_spread":0.21285691129662895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981752183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98640716,0.000008219522,0.006123053,0.0000018935813,0.0000716161,0.00017110798,0.0000016724674,0.00008527269,0.0071299886],"genre_scores_gemma":[0.92172354,0.0000011114914,0.07823023,0.000005551008,0.000008693575,0.000011287391,0.0000020732098,0.0000064712885,0.00001101051],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993583,0.000002302427,0.00013793248,0.00014567222,0.00018591831,0.00016990655],"domain_scores_gemma":[0.99981993,0.0000042878874,0.000028197666,0.00009352414,0.000015840362,0.00003823543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021471463,0.000085437954,0.00010122496,0.0000534332,0.00007486383,0.000024486753,0.00022110887,0.000049519578,0.000004918868],"category_scores_gemma":[8.8882786e-7,0.00006668079,0.000015540267,0.00024483827,0.00002859822,0.00009030752,0.00003540627,0.00005957077,0.0000060911866],"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":[0.0000012148507,0.000012666969,0.000031513537,0.00003266966,0.0000046600117,1.6633435e-7,0.000556228,0.18690792,0.77815145,0.008597976,0.0000025173001,0.025701027],"study_design_scores_gemma":[0.00004757006,0.000007646738,0.00009774144,0.000012109439,0.000001721825,0.0000019412914,0.0004646131,0.9427443,0.05604798,0.00044002174,0.000016713677,0.00011763269],"about_ca_topic_score_codex":0.0000025125987,"about_ca_topic_score_gemma":0.000008454837,"teacher_disagreement_score":0.75583637,"about_ca_system_score_codex":0.00003746605,"about_ca_system_score_gemma":0.00004703786,"threshold_uncertainty_score":0.27191636},"labels":[],"label_agreement":null},{"id":"W2982660861","doi":"10.1007/s42452-019-1480-6","title":"Effects of human serum on the stability and cytotoxicity of silver nanoparticles","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"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":"Cytotoxicity; Fetal bovine serum; In vivo; In vitro; Cell culture; Nanoparticle; Silver nanoparticle; Chemistry; Cell; Nanotoxicology; Biophysics; Nanotechnology; Cell biology; Biology; Materials science; Biochemistry; Biotechnology; Genetics","score_opus":0.020013424794049068,"score_gpt":0.24714079048610926,"score_spread":0.22712736569206018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982660861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724746,0.0000233935,0.0000038377416,0.00016791919,0.000024121637,0.00045026242,0.000007699713,0.000015747877,0.002059563],"genre_scores_gemma":[0.9997491,0.0000017638749,0.00014216025,0.00005102488,0.0000073940114,0.00003659263,7.282953e-8,0.0000031102509,0.000008759327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898744,0.000058688667,0.00021260357,0.00026576334,0.00029682796,0.00017870821],"domain_scores_gemma":[0.99900997,0.00054062216,0.00013332414,0.000254852,0.000023574268,0.000037638736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010267098,0.000079637735,0.00016729462,0.000026248777,0.00019818815,0.00003268897,0.000308246,0.000024044355,0.00023440523],"category_scores_gemma":[0.00004003804,0.000046798024,0.000026140271,0.00024767534,0.00085192185,0.00006163376,0.00008165375,0.00003438201,0.00004002967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060932202,0.00008180377,0.0025688857,0.00003445223,0.000001217968,2.4255858e-8,0.00022309361,0.000006578348,0.92247564,0.074483186,0.000007617084,0.00011138474],"study_design_scores_gemma":[0.000100056604,0.00009636491,0.026673183,0.000016793638,0.0000059646454,1.1063597e-7,0.00030978958,0.000039213748,0.96775943,0.004934919,0.000006929827,0.000057262485],"about_ca_topic_score_codex":0.000021855034,"about_ca_topic_score_gemma":0.00000784075,"teacher_disagreement_score":0.069548264,"about_ca_system_score_codex":0.000007387818,"about_ca_system_score_gemma":0.000024855359,"threshold_uncertainty_score":0.31389415},"labels":[],"label_agreement":null},{"id":"W2983867447","doi":"10.1007/s42452-020-03860-2","title":"Decoupled multicomponent potential theory of adsorption of gas mixtures","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"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":"Savannah River National Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Component (thermodynamics); Sorption isotherm; Work (physics)","score_opus":0.015526560512716302,"score_gpt":0.20739948959144686,"score_spread":0.19187292907873055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983867447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98898864,0.0004689357,0.0073062503,0.00011523297,0.00010585654,0.00014262156,0.000005059352,0.00030984532,0.0025575764],"genre_scores_gemma":[0.9968738,0.000029720819,0.0030311558,0.000022736753,0.000024800538,0.00000834566,0.0000011667776,0.0000071321606,0.0000011190326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926335,0.000007973111,0.00020077275,0.0001507774,0.00023616306,0.00014095666],"domain_scores_gemma":[0.99972296,0.000050512434,0.000057415116,0.00011926595,0.00001736104,0.00003248812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019566972,0.000093545525,0.00017859384,0.000089940615,0.0000117902555,0.000009429342,0.00032228197,0.00006051546,0.000041527757],"category_scores_gemma":[0.000045211265,0.00007824473,0.00004994657,0.00032288602,0.00038198975,0.000038803224,0.00005787258,0.000082913575,0.0000055278256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014708468,0.000007573559,0.000032655633,0.000043082277,0.000010735163,3.975375e-7,0.00023005903,0.02831301,0.9567024,0.012423717,0.00008145449,0.0021402193],"study_design_scores_gemma":[0.00019456109,0.000035636625,0.0005245914,0.000010900421,0.000013806259,9.766877e-7,0.00067656115,0.03366937,0.958283,0.006443856,0.000040612562,0.000106108455],"about_ca_topic_score_codex":0.0000032804965,"about_ca_topic_score_gemma":0.0000018936261,"teacher_disagreement_score":0.007885201,"about_ca_system_score_codex":0.000010145763,"about_ca_system_score_gemma":0.0000118360485,"threshold_uncertainty_score":0.31907275},"labels":[],"label_agreement":null},{"id":"W2984846182","doi":"10.1007/s42452-019-1662-2","title":"A characterization of different alkali chemical agents for alkaline flooding enhanced oil recovery operations: an experimental investigation","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Missouri University of Science and Technology","keywords":"Alkali metal; Sodium hydroxide; Chemistry; Sodium carbonate; Sodium; Sodium silicate; Inorganic chemistry; Divalent; Enhanced oil recovery; Hydroxide; Chemical engineering; Organic chemistry","score_opus":0.020197197104291586,"score_gpt":0.26149256878704813,"score_spread":0.24129537168275655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984846182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858145,0.000012231357,0.011651717,0.000008474491,0.00024576636,0.00031754168,0.000019185925,0.0001959682,0.0017345839],"genre_scores_gemma":[0.9899465,0.000028790633,0.0093994355,0.00004776041,0.000056578967,0.00027170396,0.00015521662,0.000019172503,0.00007484588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990201,0.000011968284,0.00028474227,0.00027628872,0.00021692282,0.00018999484],"domain_scores_gemma":[0.9996757,0.000031336083,0.000056907447,0.00015201698,0.000031178683,0.000052879033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018034561,0.000144505,0.00018995503,0.00011478758,0.00006620686,0.000059302954,0.00020951364,0.0000759943,0.000068666035],"category_scores_gemma":[0.000013901863,0.00013747963,0.000038721082,0.00022278803,0.00008311563,0.00044604737,0.000027278671,0.000055732944,0.000009192935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011093126,0.000027975413,0.000014897591,0.0000457544,0.0000058102796,1.8298149e-8,0.0003635395,0.0017441948,0.9942067,0.0012508138,0.000008061882,0.0023211204],"study_design_scores_gemma":[0.0002076654,0.00010133422,0.000051948784,0.00004944595,0.000004487775,2.7958703e-7,0.00013212702,0.028502356,0.9703096,0.0004516206,0.000029793826,0.00015935015],"about_ca_topic_score_codex":0.0000029061353,"about_ca_topic_score_gemma":0.00000430854,"teacher_disagreement_score":0.02675816,"about_ca_system_score_codex":0.000071562645,"about_ca_system_score_gemma":0.000022343404,"threshold_uncertainty_score":0.5606256},"labels":[],"label_agreement":null},{"id":"W2985426179","doi":"10.1007/s42452-019-1611-0","title":"Configuration of wind farm in Kaberten region: wind potential and optimal capacity","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Wind power; Turbine; Context (archaeology); Wind speed; Marine engineering; Environmental science; Wake; Offshore wind power; Meteorology; Wind direction; Electricity; Engineering; Geology; Geography; Aerospace engineering; Electrical engineering","score_opus":0.0159961162706419,"score_gpt":0.2107773784390934,"score_spread":0.19478126216845149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985426179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95907193,0.000048122045,0.00045773346,0.000042027754,0.00007542011,0.00010451253,7.876419e-7,0.000017414479,0.040182024],"genre_scores_gemma":[0.9991564,0.000014036985,0.0007074508,0.000010648958,0.000019681213,0.000002558233,0.0000015520749,0.0000032612174,0.00008440318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931085,0.000007009312,0.0001225537,0.00014650701,0.00022155001,0.00019152176],"domain_scores_gemma":[0.9998422,0.000015236228,0.000016511609,0.00006530493,0.000012275094,0.00004843238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021021339,0.00006597094,0.000104837425,0.00010320119,0.000038780465,0.00003220543,0.00010546972,0.00003964901,0.000034434346],"category_scores_gemma":[0.0000037524205,0.000056337434,0.000010160624,0.00022804974,0.00018864503,0.00008094157,0.00002211098,0.00007025492,0.000010944491],"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":[0.000085753796,0.00006858902,0.012565317,0.00018816272,0.000045391705,0.000014636655,0.0038606855,0.5347488,0.3853288,0.033166077,0.00040375715,0.029524038],"study_design_scores_gemma":[0.0046334774,0.00052803016,0.3555267,0.00018266788,0.000016839904,0.00006335484,0.005301154,0.16964112,0.45055595,0.0058634602,0.0061919736,0.0014952964],"about_ca_topic_score_codex":0.00003045214,"about_ca_topic_score_gemma":0.000017284237,"teacher_disagreement_score":0.3651077,"about_ca_system_score_codex":0.000016870179,"about_ca_system_score_gemma":0.000035959725,"threshold_uncertainty_score":0.22973739},"labels":[],"label_agreement":null},{"id":"W2990291356","doi":"10.1007/s42452-019-1759-7","title":"A robust voting approach for diabetes prediction using traditional machine learning techniques","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Khulna University; University of Engineering and Technology, Lahore","keywords":"Machine learning; Artificial intelligence; Naive Bayes classifier; Random forest; Computer science; Support vector machine; Artificial neural network; Voting; Classifier (UML); Boosting (machine learning); Data mining","score_opus":0.32519314910952574,"score_gpt":0.4232375905150691,"score_spread":0.09804444140554336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990291356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8990247,0.00008958298,0.06868101,0.00045359923,0.00075494056,0.0038840685,0.000085641055,0.0005603673,0.026466064],"genre_scores_gemma":[0.9282437,0.0000030940191,0.07020271,0.000342347,0.00054366025,0.00044267962,0.00005736179,0.00002069896,0.0001437854],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775237,0.00019401888,0.00051095913,0.00050769263,0.00039134634,0.0006436102],"domain_scores_gemma":[0.99848676,0.00090425136,0.0002770594,0.00012093062,0.00011943863,0.00009157134],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031962444,0.0001479464,0.00022578756,0.0001817259,0.002410389,0.000032905722,0.00027116615,0.00017870963,0.00017234047],"category_scores_gemma":[0.00021889235,0.00012786745,0.000053406802,0.0004723076,0.00022299746,0.00021120168,0.00006647056,0.00055582484,0.000037191414],"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":[0.00008331855,0.00012262852,0.8120167,0.0010656214,0.00002116451,1.9040004e-7,0.004233791,0.040940262,0.052356012,0.08075823,0.00027823707,0.008123814],"study_design_scores_gemma":[0.00009807161,0.00019196389,0.0010777828,0.00014818652,0.000011472149,6.3586657e-7,0.0059572533,0.98263764,0.0059055267,0.002844383,0.00092042383,0.00020667686],"about_ca_topic_score_codex":0.00011797126,"about_ca_topic_score_gemma":0.000028220096,"teacher_disagreement_score":0.94169736,"about_ca_system_score_codex":0.00017505643,"about_ca_system_score_gemma":0.00027779138,"threshold_uncertainty_score":0.9988883},"labels":[],"label_agreement":null},{"id":"W2996375757","doi":"10.1007/s42452-019-1912-3","title":"Influence of geometrical parameters arrangement on solidification process of ice-on-coil storage system","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Phase Change Materials Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mechanics; Materials science; Tube (container); Heat transfer; Thermodynamics; Composite material; Physics","score_opus":0.03569231988497671,"score_gpt":0.2873173397164398,"score_spread":0.25162501983146307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996375757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905643,0.000017303815,0.00018613203,0.000010288156,0.000091461814,0.00041281412,0.000014180897,0.000058311096,0.008645235],"genre_scores_gemma":[0.9997342,0.0000053413155,0.00015186978,0.0000075641665,0.000013952886,0.00006833166,0.0000018060316,0.000007985069,0.000008947826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986272,0.00001767758,0.00023406469,0.00021235978,0.00069124653,0.00021746765],"domain_scores_gemma":[0.99945706,0.00014781584,0.000080797196,0.00021855153,0.000048337304,0.00004744054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060896424,0.00009660734,0.00019960824,0.0003776739,0.00003317872,0.000025562316,0.00038743974,0.000039081246,0.00001507479],"category_scores_gemma":[0.000042655964,0.00007892185,0.000019491019,0.00097167975,0.00013408005,0.000069474365,0.000022956507,0.00006399583,0.0000739699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027035514,0.0000396083,0.00009953593,0.0007326869,0.0000090466,3.2314043e-7,0.00047044858,0.48528084,0.51059407,0.0021701886,0.000015654867,0.0005605765],"study_design_scores_gemma":[0.000244028,0.00020380826,0.0014097209,0.00013255831,0.0000038825356,2.9515374e-7,0.00067756494,0.0211147,0.97598016,0.00008519766,0.000023428815,0.00012466623],"about_ca_topic_score_codex":0.000009138523,"about_ca_topic_score_gemma":5.2396615e-7,"teacher_disagreement_score":0.4653861,"about_ca_system_score_codex":0.00007212431,"about_ca_system_score_gemma":0.000027384636,"threshold_uncertainty_score":0.32183394},"labels":[],"label_agreement":null},{"id":"W3004034720","doi":"10.1007/s42452-020-2098-4","title":"Numerical simulation of a tuneable reversible flow design for practical ACET devices","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Microfluidic and Bio-sensing Technologies","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; Alberta Innovates; CMC Microsystems","keywords":"Microfluidics; Usability; Flow (mathematics); Computer science; Design flow; Fluid dynamics; Fabrication; Electronic engineering; Mechanical engineering; Materials science; Nanotechnology; Embedded system; Mechanics; Engineering; Physics","score_opus":0.09027080234297875,"score_gpt":0.2900985703362812,"score_spread":0.19982776799330249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004034720","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":[0.007826527,0.00017033934,0.9886029,0.0011804684,0.00006144219,0.00027281206,0.0000040216605,0.0003498165,0.0015317249],"genre_scores_gemma":[0.7911511,0.0000117890495,0.2087266,0.00007171976,0.000024126466,0.000005135768,0.000001070142,0.0000046884174,0.0000037532832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937856,0.000009153502,0.00013556167,0.00016639305,0.00013721584,0.00017309535],"domain_scores_gemma":[0.99956936,0.00027036172,0.000033331908,0.000071236915,0.000020923062,0.00003480656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002953327,0.000077577686,0.00013535497,0.000038629598,0.00008453013,0.00002780023,0.00015058242,0.0000660334,0.000015781776],"category_scores_gemma":[0.00015792248,0.00006351302,0.000025403815,0.00040740625,0.00014891879,0.0000900523,0.000025907817,0.00006128621,0.000012815698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006797702,0.000021258124,0.00005198826,0.00013324252,0.000016677988,9.574434e-7,0.0003271371,0.66491973,0.3086316,0.0024457804,0.017699549,0.0056841294],"study_design_scores_gemma":[0.00010121392,0.0000735186,0.000008539337,0.000006868448,0.000008567595,5.7922904e-7,0.00027277897,0.7854328,0.2084261,0.0008609123,0.0047253645,0.00008275556],"about_ca_topic_score_codex":0.0000014481119,"about_ca_topic_score_gemma":2.4845627e-7,"teacher_disagreement_score":0.7833246,"about_ca_system_score_codex":0.000011472947,"about_ca_system_score_gemma":0.000044781857,"threshold_uncertainty_score":0.25899857},"labels":[],"label_agreement":null},{"id":"W3004838566","doi":"10.1007/s42452-020-2075-y","title":"Compression behavior of natural graphite sheet","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"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":"Compression (physics); Materials science; Composite material; Linear density; Modulus; Deformation (meteorology); Bulk modulus; Strain (injury)","score_opus":0.028375649055453776,"score_gpt":0.26526802405593347,"score_spread":0.2368923750004797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004838566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953365,0.00026030245,0.00002672041,0.0007836639,0.00024227351,0.00020411357,0.000018953164,0.00021543846,0.0029120354],"genre_scores_gemma":[0.99738866,0.000013816764,0.002178015,0.00035037368,0.000029192763,0.000023557766,0.0000015099157,0.0000065444506,0.000008306054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866366,0.000022794615,0.0002500737,0.00038581173,0.00042766033,0.0002499779],"domain_scores_gemma":[0.9995307,0.000047124082,0.00016783709,0.00016145063,0.000028797902,0.000064094726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024834785,0.00012110323,0.00022087204,0.00015419404,0.0002974568,0.000036666326,0.0006197845,0.000056295714,0.00016398366],"category_scores_gemma":[0.000038886454,0.00009393999,0.000049176775,0.0008891342,0.0014289175,0.00010093116,0.0001985794,0.00010685494,0.000100337245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009629049,0.000022999608,0.0031716884,0.000007890243,0.0000020656419,8.5742045e-7,0.00044646024,0.000021575905,0.98550147,0.009255521,0.0007289837,0.0008308549],"study_design_scores_gemma":[0.0007554748,0.0002898039,0.07508849,0.000024924917,0.00004830021,0.000005793613,0.0041282047,0.0007954831,0.9109056,0.0031485292,0.0042671096,0.0005422957],"about_ca_topic_score_codex":0.0000050847184,"about_ca_topic_score_gemma":0.0000038416147,"teacher_disagreement_score":0.07459589,"about_ca_system_score_codex":0.0000065477,"about_ca_system_score_gemma":0.000019792375,"threshold_uncertainty_score":0.5264906},"labels":[],"label_agreement":null},{"id":"W3006479754","doi":"10.1007/s42452-020-2180-y","title":"Ni and Mn enrichment effects on reformed austenite: thermodynamical and low cycle fatigue stability of 13%Cr–4%Ni and 13%Cr–6%Ni stainless steels","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Hydro-Québec","funders":"","keywords":"Austenite; Materials science; Metallurgy; Microstructure","score_opus":0.014602561472648093,"score_gpt":0.21800195704878975,"score_spread":0.20339939557614165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006479754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995981,0.0004935322,0.00030752094,0.00019036538,0.00009306736,0.0005734009,0.00002913826,0.000076416865,0.002255604],"genre_scores_gemma":[0.99927837,0.00009034435,0.00034663617,0.00019388419,0.000041616946,0.000022074031,0.0000033628364,0.00001536051,0.000008355026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849457,0.000036069654,0.00028651376,0.0004906153,0.00032315953,0.00036905467],"domain_scores_gemma":[0.9994027,0.00012061183,0.000059179605,0.0001629001,0.000025327796,0.00022926586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033941714,0.0002445435,0.00037110568,0.00005358368,0.00015801941,0.0000839022,0.0002188069,0.00011443505,0.00001990791],"category_scores_gemma":[0.000040664287,0.00017150817,0.000024926027,0.00023432494,0.00043954325,0.00014051968,0.00016025922,0.00020665223,0.0000017330702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017044538,0.000044145476,0.00063899026,0.001342608,0.00004356115,0.000004707746,0.003104018,0.0007488654,0.9496679,0.0030865828,0.00006891109,0.041079268],"study_design_scores_gemma":[0.003765718,0.0022664305,0.02242632,0.0003360898,0.00010731885,0.000013850623,0.0053438838,0.06069035,0.8955424,0.007556009,0.00045014173,0.0015015005],"about_ca_topic_score_codex":0.00003193185,"about_ca_topic_score_gemma":0.000031273514,"teacher_disagreement_score":0.059941486,"about_ca_system_score_codex":0.000036771486,"about_ca_system_score_gemma":0.000026544172,"threshold_uncertainty_score":0.69939005},"labels":[],"label_agreement":null},{"id":"W3009928905","doi":"10.1007/s42452-020-2318-y","title":"Ethnic music exploration guided by personalized recommendations: system design and evaluation","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Ethnic group; Computer science; Recommender system; Interface (matter); World Wide Web; User interface; Work (physics); Field (mathematics); Multimedia; Human–computer interaction; Engineering; Sociology","score_opus":0.2760710168687802,"score_gpt":0.347688860476715,"score_spread":0.07161784360793477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009928905","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":[0.0024056423,0.0005911617,0.9816231,0.010512555,0.00013100207,0.00044156171,8.1024507e-7,0.00016806554,0.004126062],"genre_scores_gemma":[0.8600052,0.000027130649,0.13674587,0.0029772304,0.00007287384,0.0001345704,0.000006164923,0.0000050842864,0.000025847747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839354,0.00015101656,0.00022469394,0.00051079906,0.0005362663,0.00018371282],"domain_scores_gemma":[0.9994568,0.00010128515,0.00015448476,0.000120349825,0.00007366059,0.00009339762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019814617,0.00010867623,0.0001256697,0.000058618676,0.0005075817,0.0003844068,0.0004463504,0.00003715591,0.000032229054],"category_scores_gemma":[0.00005370397,0.0000930992,0.00001681627,0.0009111021,0.00014958701,0.0008873781,0.000093655806,0.00006635564,0.000028407456],"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":[0.0000151892045,0.000037748032,0.000013661394,0.00012610736,0.00001735808,0.0000010595256,0.02692781,0.0028947168,0.06867704,0.12197883,0.10577771,0.6735328],"study_design_scores_gemma":[0.0005641076,0.00006811266,0.00001283143,0.00004498607,0.000015783038,0.0000040832433,0.0027586422,0.9789257,0.008418017,0.0053805285,0.0035655033,0.00024170373],"about_ca_topic_score_codex":0.0000039284964,"about_ca_topic_score_gemma":6.953716e-7,"teacher_disagreement_score":0.976031,"about_ca_system_score_codex":0.00003992417,"about_ca_system_score_gemma":0.00016744684,"threshold_uncertainty_score":0.3903959},"labels":[],"label_agreement":null},{"id":"W3011204526","doi":"10.1007/s42452-020-2428-6","title":"Enhancement of hardness in nanostructured CuO/TiO2–cement composites","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Nucleation; Nanoparticle; Composite material; Rockwell scale; Indentation hardness; Scanning electron microscope; Abrasion (mechanical); Vickers hardness test; Nanotechnology; Chemistry","score_opus":0.025308739482324375,"score_gpt":0.25214480609228246,"score_spread":0.2268360666099581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011204526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757391,0.00014619008,0.00086591556,0.00018734342,0.00023173484,0.00027309955,0.000006799565,0.000043617845,0.022506189],"genre_scores_gemma":[0.9991309,0.000040286508,0.00064312434,0.00009823387,0.000030698866,0.000028519822,0.0000049149785,0.0000050765543,0.000018219645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990485,0.000011315885,0.00021255756,0.0001705219,0.00033514324,0.00022196046],"domain_scores_gemma":[0.99982315,0.000011867519,0.000023050936,0.000076321856,0.000012125579,0.00005349492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018277785,0.000087391236,0.00015418016,0.00006667285,0.000042942367,0.00004114253,0.0002669563,0.000023138156,0.0004051375],"category_scores_gemma":[0.000004436373,0.00007637718,0.000017412243,0.00038179915,0.00010318651,0.00005123974,0.00006807335,0.000050129926,0.000026401996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132336445,0.000005388998,0.0001860693,0.00007491476,0.0000063717785,6.9022343e-7,0.00046479955,0.001153173,0.99505174,0.0010138482,0.0005128026,0.0015169677],"study_design_scores_gemma":[0.00025630643,0.000065083565,0.00032189625,0.0000139715885,0.0000024253259,1.0105168e-7,0.0002885104,0.007881129,0.9884674,0.0001419337,0.0024588513,0.000102401464],"about_ca_topic_score_codex":0.00000858366,"about_ca_topic_score_gemma":0.0000043106306,"teacher_disagreement_score":0.023391815,"about_ca_system_score_codex":0.000020581772,"about_ca_system_score_gemma":0.000023821458,"threshold_uncertainty_score":0.44359717},"labels":[],"label_agreement":null},{"id":"W3011452074","doi":"10.1007/s42452-020-2499-4","title":"Precoding for multiuser MIMO full-duplex amplify-and-forward relay uplink communication systems","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Duplex (building); Relay; Computer science; Computer network; Telecommunications; Physics; Biology; Channel (broadcasting)","score_opus":0.05099535317559056,"score_gpt":0.25882449641467065,"score_spread":0.20782914323908008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011452074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91408914,0.0042772805,0.065531865,0.003909096,0.00043914767,0.0027444393,0.000076461365,0.0017115398,0.007221038],"genre_scores_gemma":[0.9661458,0.0002894161,0.032842908,0.000097710865,0.000065492175,0.00045014717,0.000038370286,0.00003351805,0.000036612375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987047,0.000033247896,0.00038599546,0.0003276502,0.00020838834,0.00034002162],"domain_scores_gemma":[0.9986676,0.0004953296,0.00009225328,0.0005341247,0.000057105462,0.00015361326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432175,0.00019643297,0.00025696863,0.00009456449,0.0006516583,0.00023861142,0.0009840274,0.000115619565,0.000014134151],"category_scores_gemma":[0.00009166134,0.00018980865,0.000042050866,0.00054784876,0.00028920808,0.00021802355,0.00019227325,0.0002548207,0.000053211978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012463334,0.000016582622,0.00011712497,0.00015573122,0.000034024393,1.0271489e-7,0.0023207392,0.91226715,0.03553915,0.044562254,0.00199183,0.0029828656],"study_design_scores_gemma":[0.00031614644,0.000031983098,0.00009912501,0.000034494955,0.000017355891,0.0000017721517,0.001166914,0.98542523,0.0011904697,0.000031660104,0.011434998,0.0002498558],"about_ca_topic_score_codex":0.0000220279,"about_ca_topic_score_gemma":0.000028578868,"teacher_disagreement_score":0.07315809,"about_ca_system_score_codex":0.000049445265,"about_ca_system_score_gemma":0.000033391287,"threshold_uncertainty_score":0.7740172},"labels":[],"label_agreement":null},{"id":"W3012480186","doi":"10.1007/s42452-020-2388-x","title":"Effect of silica and lignocellulosic additives on the formation and the distribution of meso and macropores in foam metakaolin-based geopolymer filters for dyes and wastewater filtration","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Metakaolin; Materials science; Geopolymer; Sawdust; Filtration (mathematics); Composite material; Silica fume; Porosity; Macropore; Chemical engineering; Compressive strength; Pulp and paper industry; Mesoporous material; Chemistry; Organic chemistry","score_opus":0.012730571054368454,"score_gpt":0.23160125593240816,"score_spread":0.2188706848780397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012480186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854356,0.00024323448,0.00017877882,0.0003995888,0.000007697836,0.00044298513,0.000049013634,0.0000054984307,0.00012963708],"genre_scores_gemma":[0.9998003,0.00006934248,0.000015907006,0.000023982895,0.000008495289,0.00006317711,0.000015847818,0.0000021760425,7.301759e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995639,0.000043872922,0.000114525625,0.00009147534,0.00010327383,0.00008298404],"domain_scores_gemma":[0.9994303,0.00048070538,0.000029334013,0.000035321224,0.0000070320903,0.000017328628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054233026,0.000060391074,0.000112017886,0.00002513227,0.00007201659,0.000044733013,0.00004579355,0.000017074917,0.0000064637406],"category_scores_gemma":[0.000034180382,0.000030792395,0.000009831878,0.00008148018,0.00036561172,0.00005970269,0.000017730967,0.00002639816,9.7263325e-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":[0.00077409146,0.0000058537275,0.0002662333,0.00090536627,0.000025392112,1.3718154e-7,0.0023943498,0.00048498999,0.975912,0.0061555873,0.00017586933,0.01290018],"study_design_scores_gemma":[0.00057725696,0.00021947207,0.0003178345,0.000018697123,0.000011691697,1.4137105e-7,0.00038686805,0.0733269,0.92487895,0.00020005275,0.000024607054,0.000037554528],"about_ca_topic_score_codex":0.0000078498515,"about_ca_topic_score_gemma":0.0000031688626,"teacher_disagreement_score":0.072841905,"about_ca_system_score_codex":0.0000026220994,"about_ca_system_score_gemma":0.000004457308,"threshold_uncertainty_score":0.13471116},"labels":[],"label_agreement":null},{"id":"W3014302601","doi":"10.1007/s42452-020-03784-x","title":"An asynchronous and task-based implementation of peridynamics utilizing HPX—the C++ standard library for parallelism and concurrency","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Numerical methods in engineering","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Army Research Laboratory; Army Research Office; Homeland Defense and Security Information Analysis Center; Louisiana State University","keywords":"Peridynamics; Asynchronous communication; Concurrency; Scalability; Computation; Theory of computation; Node (physics); Parallelism (grammar); Data parallelism","score_opus":0.0222335750128768,"score_gpt":0.2998525260113142,"score_spread":0.27761895099843736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014302601","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":[0.37601867,0.0005689799,0.62190396,0.00028072452,0.0001181377,0.00042699164,0.000080215,0.00019074103,0.00041161382],"genre_scores_gemma":[0.85210407,0.000032106385,0.14771485,0.000067678164,0.000032909556,0.000031475927,0.000004483351,0.000012331576,1.196123e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993681,0.000013180304,0.0001623724,0.00017477147,0.00011893313,0.00016265127],"domain_scores_gemma":[0.99967325,0.00014437715,0.0000329159,0.00006876314,0.0000074771747,0.000073245435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020566677,0.00009754667,0.00013866901,0.000032296382,0.00010036936,0.00007298559,0.00014737589,0.000024601708,0.00000930381],"category_scores_gemma":[0.000013858463,0.000077847595,0.000014905369,0.00019826471,0.00020219188,0.00015125086,0.000024386407,0.00006488093,1.2528906e-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":[0.000053589156,0.000017232085,0.0029757128,0.0009088038,0.00004419832,0.0000011057948,0.006245577,0.1483163,0.14725429,0.059625655,0.0001977252,0.63435984],"study_design_scores_gemma":[0.00052939187,0.00029292007,0.0009729815,0.0000148432,0.000019984736,9.865444e-7,0.0031902015,0.9648365,0.025855023,0.0022417195,0.0018107309,0.00023475934],"about_ca_topic_score_codex":0.0000015062067,"about_ca_topic_score_gemma":8.2972014e-7,"teacher_disagreement_score":0.81652015,"about_ca_system_score_codex":0.000007883904,"about_ca_system_score_gemma":0.000029487488,"threshold_uncertainty_score":0.3174533},"labels":[],"label_agreement":null},{"id":"W3016151742","doi":"10.1007/s42452-020-2602-x","title":"Design and study of mini wind tunnel for microsystems fluid interaction under low Reynolds number flows","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"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; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Wind tunnel; Hypersonic wind tunnel; Reynolds number; Aerodynamics; Fluid–structure interaction; Modular design; Finite element method; Subsonic and transonic wind tunnel; Computational fluid dynamics; Engineering; Mechanics; Mechanical engineering; Structural engineering; Turbulence; Aerospace engineering; Transonic; Physics; Computer science","score_opus":0.0448034139205459,"score_gpt":0.26327881745023596,"score_spread":0.21847540352969005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016151742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9377512,0.000019505806,0.060747094,0.00007114582,0.00017767937,0.00043174138,0.0000014675151,0.00021999095,0.0005802119],"genre_scores_gemma":[0.9954254,0.000003937009,0.0044715526,0.000025416955,0.00003243414,0.000024039176,4.6371122e-7,0.0000097364455,0.000007016745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932617,0.000009681009,0.00018060664,0.00020824769,0.000120568795,0.00015473468],"domain_scores_gemma":[0.9997038,0.00011626312,0.000037059635,0.000098722354,0.00001692815,0.000027203292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025791605,0.00010051956,0.00016861214,0.000055936605,0.00010338138,0.00004986853,0.00016487425,0.00005414962,0.0000026824214],"category_scores_gemma":[0.000020513045,0.00008445011,0.0000153042,0.00026935377,0.000079382124,0.00006886144,0.000034764547,0.00006567663,0.0000067234614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000825722,0.00009208078,0.0009419336,0.00029415564,0.00006445908,0.0000012964477,0.010820603,0.2754741,0.70242923,0.00078669743,0.0024591242,0.0065537523],"study_design_scores_gemma":[0.0012566898,0.00072282174,0.00070938125,0.00009715373,0.00004389666,0.000008597317,0.044787366,0.27813,0.67225456,0.001237919,0.00030496772,0.0004466509],"about_ca_topic_score_codex":0.000014677663,"about_ca_topic_score_gemma":0.000010010225,"teacher_disagreement_score":0.05767424,"about_ca_system_score_codex":0.000015173205,"about_ca_system_score_gemma":0.000010944434,"threshold_uncertainty_score":0.34437755},"labels":[],"label_agreement":null},{"id":"W3023339402","doi":"10.1007/s42452-020-2798-9","title":"Component element ratio analysis of the McCreedy West Fe–Ni–Cu sulfide deposit, North Range of the Sudbury igneous complex","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Sulfide; Pyrrhotite; Pentlandite; Fractionation; Geology; Fractional crystallization (geology); Igneous rock; Geochemistry; Mineralogy; Chalcopyrite; Chemistry; Materials science; Metallurgy; Copper; Basalt","score_opus":0.031014406781358396,"score_gpt":0.22542082651590944,"score_spread":0.19440641973455106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023339402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95095736,0.000080036094,0.02335389,0.009155477,0.0001479978,0.00048607518,0.00001889817,0.000048960796,0.015751308],"genre_scores_gemma":[0.997405,0.0000034642756,0.001783906,0.0007154829,0.000023919383,0.000012112801,0.0000030698643,0.0000012856104,0.000051796298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801785,0.00008532698,0.00042474718,0.00044930837,0.00074374676,0.0002790529],"domain_scores_gemma":[0.9987589,0.00012214652,0.00036986577,0.00058719615,0.000087540815,0.00007432474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049175567,0.00014852297,0.0003121389,0.000057105965,0.00045288593,0.00007292158,0.0027852259,0.000033803946,0.000047802587],"category_scores_gemma":[0.000049578837,0.0000847854,0.00017404291,0.002982072,0.00062831683,0.000065519096,0.00081142504,0.00011857752,0.0000036386082],"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":[0.000039249906,0.00031074756,0.5050656,0.00016206456,0.0005118754,0.0000062389427,0.008862829,0.13388272,0.28421658,0.061243784,0.0022072413,0.003491034],"study_design_scores_gemma":[0.00034028315,0.00007944144,0.7219451,0.000018683251,0.00020036903,0.0000040746936,0.0007569183,0.22780123,0.046710752,0.00072368124,0.0011376507,0.00028178518],"about_ca_topic_score_codex":0.00035851423,"about_ca_topic_score_gemma":0.00063265517,"teacher_disagreement_score":0.23750584,"about_ca_system_score_codex":0.000016672766,"about_ca_system_score_gemma":0.00009033189,"threshold_uncertainty_score":0.5175689},"labels":[],"label_agreement":null},{"id":"W3025310339","doi":"10.1007/s42452-020-2847-4","title":"Quantum and classical machine learning for the classification of non-small-cell lung cancer patients","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto","funders":"Queen's University","keywords":"Computer science; Feature selection; Machine learning; Artificial intelligence; Quantum machine learning; Lung cancer; Adenocarcinoma; Quantum annealing; Dimensionality reduction; Cancer; Data mining; Quantum; Medicine; Oncology; Quantum computer; Internal medicine; Physics","score_opus":0.020808933968388517,"score_gpt":0.25593812214639644,"score_spread":0.23512918817800793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025310339","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":[0.4399351,0.00034711647,0.5540622,0.004613989,0.0001814123,0.000433634,0.000004542864,0.000056891018,0.00036513916],"genre_scores_gemma":[0.98869616,0.000018874434,0.01091159,0.00025537077,0.00007219255,0.000029858804,0.0000011927732,0.0000046994537,0.000010074288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989441,0.00002445846,0.00017891634,0.00039293995,0.00024877695,0.00021077624],"domain_scores_gemma":[0.9993189,0.00029728003,0.00015394042,0.00011567192,0.000042990352,0.00007122357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032278796,0.000104694205,0.00013187353,0.000037191232,0.000469191,0.00011723586,0.00071363396,0.00003148628,0.0000016754842],"category_scores_gemma":[0.000030215195,0.00006491817,0.00003579766,0.00043875503,0.00021001523,0.000058576454,0.00020822149,0.00015758429,8.62865e-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":[0.00009419377,0.0003823931,0.057973664,0.00060161913,0.000077910845,0.0000011240247,0.024649547,0.12488485,0.07762649,0.13166018,0.0019479165,0.5801001],"study_design_scores_gemma":[0.0002598731,0.00013209305,0.010334694,0.00000940451,0.000007701131,1.7469408e-7,0.000072626324,0.98687005,0.0011629371,0.00035936778,0.00069952296,0.000091553266],"about_ca_topic_score_codex":0.00001598022,"about_ca_topic_score_gemma":0.0000043199675,"teacher_disagreement_score":0.8619852,"about_ca_system_score_codex":0.000007219935,"about_ca_system_score_gemma":0.000071643284,"threshold_uncertainty_score":0.36086854},"labels":[],"label_agreement":null},{"id":"W3038959978","doi":"10.1007/s42452-020-3148-7","title":"Spontaneous nucleation in hypoeutectic Al–Cu system by controlled diffusion solidification process","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nucleation; Supersaturation; Supercooling; Materials science; Microstructure; Superheating; Eutectic system; Thermodynamics; Mixing (physics); Crucible (geodemography); Diffusion; Metallurgy; Chemistry","score_opus":0.009313398739371603,"score_gpt":0.19890313997088432,"score_spread":0.18958974123151273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038959978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897248,0.00030738776,0.0012609836,0.00035210283,0.00014012774,0.0006906651,0.0000038698795,0.00041386744,0.007106174],"genre_scores_gemma":[0.99939996,0.000011980628,0.00027354,0.00015059105,0.000041380703,0.000083638835,0.000004842554,0.000019384011,0.000014680905],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883485,0.00002003609,0.00028861922,0.00031692412,0.00029189241,0.00024766364],"domain_scores_gemma":[0.99971217,0.00003755939,0.00006120351,0.00010040534,0.000022964423,0.00006567581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021727396,0.00015844045,0.00024908324,0.00007557241,0.00014041523,0.000105700776,0.00035006975,0.000063923144,0.000014746613],"category_scores_gemma":[0.000031492746,0.00012819713,0.000024243183,0.0004612687,0.000113711125,0.0001264069,0.000026670958,0.00012645581,0.000051467818],"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":[0.00010511775,0.000009846647,0.00005567861,0.00013505059,0.0000072791,0.0000076884735,0.002511785,0.008898038,0.9859359,0.00048866833,0.00022116148,0.0016237489],"study_design_scores_gemma":[0.003209971,0.00013061096,0.0003849781,0.000083280975,0.000030931522,0.0001001017,0.0075541125,0.8910859,0.09531934,0.00024743396,0.0011910078,0.00066231086],"about_ca_topic_score_codex":0.000012566276,"about_ca_topic_score_gemma":0.000015668384,"teacher_disagreement_score":0.8906166,"about_ca_system_score_codex":0.00010646945,"about_ca_system_score_gemma":0.000028512686,"threshold_uncertainty_score":0.5227727},"labels":[],"label_agreement":null},{"id":"W3042891026","doi":"10.1007/s42452-020-3181-6","title":"Blind copy-move forgery detection using SVD and KS test","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"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; Test (biology); Artificial intelligence; Pattern recognition (psychology); Biology","score_opus":0.041123712908951796,"score_gpt":0.24662800161560894,"score_spread":0.20550428870665716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042891026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7169394,0.000053513337,0.26277784,0.0007651804,0.0008651951,0.00034182478,0.0000024583323,0.00032357202,0.017931037],"genre_scores_gemma":[0.98654294,0.0000024040216,0.012765729,0.00052982214,0.0001335575,0.000008866513,2.5398637e-7,0.0000054678494,0.000010982699],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857914,0.00001086012,0.00017761033,0.0005392267,0.00041046366,0.0002827029],"domain_scores_gemma":[0.9993913,0.00015995001,0.000097547985,0.00015151757,0.000031602664,0.00016804984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030476018,0.00012602692,0.00013381487,0.000118110474,0.00029606486,0.00051672605,0.0004107445,0.000049817874,0.000003257795],"category_scores_gemma":[0.00016131607,0.000111562134,0.000026564685,0.0012203475,0.0003625321,0.0007765643,0.00022012046,0.000107160726,0.00003744489],"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":[0.000033931097,0.00006165252,0.0013293583,0.000044125405,0.000012649046,0.000012339221,0.0022500867,0.00054741505,0.2414546,0.016855821,0.00017633183,0.7372217],"study_design_scores_gemma":[0.0008754218,0.0006461393,0.0019743561,0.000031051415,0.000016964388,0.000081943515,0.000765156,0.5470207,0.4222401,0.022929333,0.0027064302,0.0007124261],"about_ca_topic_score_codex":0.000010631871,"about_ca_topic_score_gemma":0.0000094087945,"teacher_disagreement_score":0.73650926,"about_ca_system_score_codex":0.00002659994,"about_ca_system_score_gemma":0.000073384675,"threshold_uncertainty_score":0.4982801},"labels":[],"label_agreement":null},{"id":"W3046577152","doi":"10.1007/s42452-020-03258-0","title":"Energy dissipation evaluation for stepped spillway using a fuzzy inference system","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"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":"Dissipation; Realization (probability); Fuzzy logic; Fuzzy inference; Reduction (mathematics); Computer science; Measure (data warehouse); Energy (signal processing); Control theory (sociology); Fuzzy control system; Mathematics; Control (management); Adaptive neuro fuzzy inference system; Data mining; Statistics; Geometry; Artificial intelligence; Physics","score_opus":0.05166584523487488,"score_gpt":0.28402297023634565,"score_spread":0.23235712500147077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046577152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63066727,0.00014848975,0.32997194,0.00010615285,0.0005322074,0.00058937573,0.000014491223,0.0003836533,0.037586424],"genre_scores_gemma":[0.9964114,0.0000015299438,0.0032988028,0.000050714927,0.00015770021,0.000062121486,0.0000075541802,0.000008017065,0.0000021959636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912864,0.000013391119,0.00016119551,0.00020216647,0.000313806,0.00018079203],"domain_scores_gemma":[0.99974877,0.00004310912,0.00003483088,0.00007337603,0.00003205433,0.00006788342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024689097,0.00009964371,0.00011777286,0.000049817525,0.00016967842,0.000079312325,0.00015799254,0.000044579756,0.000010314789],"category_scores_gemma":[0.000026359783,0.00008395124,0.000025371472,0.0003152008,0.000052744745,0.00010155852,0.000014730908,0.000035077348,0.0000035426074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013279079,0.00000361152,0.000059530506,0.0001692163,0.00001488256,3.051611e-7,0.0012903952,0.75883657,0.09893042,0.06745265,0.00015424799,0.07307491],"study_design_scores_gemma":[0.00018410901,0.000024207742,0.000118581964,0.000012929609,0.000015175627,4.5866318e-7,0.0003870498,0.986311,0.011216784,0.0011657615,0.00044162376,0.0001223242],"about_ca_topic_score_codex":0.00001339685,"about_ca_topic_score_gemma":0.0000130470235,"teacher_disagreement_score":0.3657441,"about_ca_system_score_codex":0.000051596424,"about_ca_system_score_gemma":0.000062365034,"threshold_uncertainty_score":0.34234324},"labels":[],"label_agreement":null},{"id":"W3046593386","doi":"10.1007/s42452-020-03254-4","title":"Study on the influence of the thickness of nanostructured rhodium films toward electrooxidation of adsorbed carbon monoxide","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"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":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Centre québécois sur les matériaux fonctionnels","keywords":"Rhodium; X-ray photoelectron spectroscopy; Carbon monoxide; Materials science; Pulsed laser deposition; Adsorption; Analytical Chemistry (journal); Metal; Thin film; Surface roughness; Deposition (geology); Chemical engineering; Catalysis; Nanotechnology; Chemistry; Metallurgy; Composite material; Physical chemistry; Organic chemistry","score_opus":0.019500656529311683,"score_gpt":0.23241745060940946,"score_spread":0.21291679408009778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046593386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942027,0.000018089548,0.000007869037,0.00060388906,0.000064044776,0.00034479686,0.0000011708668,0.00002276213,0.0047346763],"genre_scores_gemma":[0.9997172,0.0000029370638,0.000055867593,0.00016805326,0.000014931934,0.000018896766,0.0000012663767,0.000008945532,0.000011916177],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805826,0.00012480085,0.0003717391,0.00032079872,0.00090669375,0.00021772932],"domain_scores_gemma":[0.9988754,0.00015918113,0.00042683847,0.00038128393,0.00012236965,0.000034927958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534423,0.00015178422,0.00025748534,0.00007170602,0.00011439936,0.000011314997,0.0011063472,0.00006339534,0.000012969057],"category_scores_gemma":[0.00022037297,0.00008411397,0.00006805231,0.0014122532,0.00046776736,0.000062197476,0.00013768181,0.00016516751,0.0000015042518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008671492,0.000037638438,0.0012487287,0.000015147497,0.00002469627,1.5585373e-7,0.002998492,0.0147958975,0.9573232,0.023295378,0.000015977208,0.00015798499],"study_design_scores_gemma":[0.00025030636,0.00035041964,0.013671338,0.000014715359,0.000029522716,4.819623e-7,0.0023395321,0.00041344785,0.9814564,0.0013636238,0.000019283054,0.00009090713],"about_ca_topic_score_codex":0.00067269616,"about_ca_topic_score_gemma":0.00013375793,"teacher_disagreement_score":0.024133233,"about_ca_system_score_codex":0.00002466901,"about_ca_system_score_gemma":0.0001770002,"threshold_uncertainty_score":0.3430068},"labels":[],"label_agreement":null},{"id":"W3047423862","doi":"10.1007/s42452-020-03284-y","title":"A new one-dimensional numerical model for unsteady hydraulics of sediments in rivers","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"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","keywords":"Hydraulics; Geology; Hydrology (agriculture); Environmental science; Geotechnical engineering; Engineering; Aerospace engineering","score_opus":0.03421859972679064,"score_gpt":0.24823173502321771,"score_spread":0.21401313529642707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047423862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83806556,0.00007351681,0.11881327,0.00475203,0.000100026904,0.0009226979,0.000019318506,0.00007644281,0.037177157],"genre_scores_gemma":[0.97179544,0.000002626745,0.026487412,0.0016270927,0.000014651417,0.000014733721,0.0000044980075,0.0000046542573,0.00004890218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987045,0.0000083378245,0.00022617306,0.00039487975,0.0003961627,0.0002699288],"domain_scores_gemma":[0.99966747,0.000051750896,0.00006993535,0.00006780954,0.0000033901251,0.00013964034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022652656,0.00010701734,0.00018208576,0.000031861568,0.0000940684,0.000006020772,0.00035195868,0.00006322434,0.00038602363],"category_scores_gemma":[0.000011570506,0.00009608971,0.00003585802,0.00046685367,0.00037227347,0.0001437347,0.00006191574,0.000084404455,0.00005451728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028921486,0.00023377065,0.012763681,0.000026739715,0.00001592712,0.0000021983246,0.0034394248,0.935035,0.034254335,0.0038517197,0.0021283035,0.007959677],"study_design_scores_gemma":[0.0019212911,0.0003992498,0.004023654,0.000012509333,0.00003514459,7.982145e-7,0.00015507838,0.9509272,0.025740143,0.01498699,0.0013985354,0.00039942432],"about_ca_topic_score_codex":0.000040391584,"about_ca_topic_score_gemma":0.000033872966,"teacher_disagreement_score":0.13372989,"about_ca_system_score_codex":0.000022322958,"about_ca_system_score_gemma":0.000078905774,"threshold_uncertainty_score":0.4226688},"labels":[],"label_agreement":null},{"id":"W3079916451","doi":"10.1007/s42452-020-03330-9","title":"Improvement of flattenability using particle swarm optimizer for surface unfolding in bolus shaping","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Bolus (digestion); Particle swarm optimization; Computer science; Materials science; Mathematical optimization; Algorithm; Mathematics; Medicine; Surgery","score_opus":0.06946987428425652,"score_gpt":0.300143986831619,"score_spread":0.2306741125473625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079916451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76467985,0.000060306884,0.23451133,0.00011348751,0.000016940534,0.00025602526,0.0000021867158,0.00011495929,0.00024491744],"genre_scores_gemma":[0.89404756,0.0000042977267,0.10583356,0.000074632124,0.000012797124,0.000017804969,3.9155188e-7,0.000008225094,7.5964266e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899375,0.0000053236463,0.00030700967,0.00025479373,0.000170775,0.00026836485],"domain_scores_gemma":[0.99970126,0.000070637594,0.000051856387,0.00009524891,0.000019672461,0.00006130058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414109,0.00010111165,0.00023055279,0.00003103048,0.00006072039,0.000019738836,0.0002019469,0.000028403918,0.000009707412],"category_scores_gemma":[0.000034309152,0.000091717935,0.000047688158,0.0007195565,0.00012484731,0.00012462426,0.00005675415,0.00006503657,8.89001e-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":[0.0000053625777,0.000007502756,0.00036779972,0.00003377232,0.0000039624138,1.0381264e-7,0.00013903624,0.51837426,0.47915384,0.00028723964,0.0000045506695,0.0016225893],"study_design_scores_gemma":[0.00009573851,0.00002255088,0.000030696876,0.000006413056,0.000005172254,4.1443837e-8,0.00020370205,0.5432844,0.45537287,0.0008766293,0.000023904635,0.00007783069],"about_ca_topic_score_codex":0.000016777165,"about_ca_topic_score_gemma":0.0000036609945,"teacher_disagreement_score":0.12936768,"about_ca_system_score_codex":0.00006361476,"about_ca_system_score_gemma":0.000015774474,"threshold_uncertainty_score":0.37401488},"labels":[],"label_agreement":null},{"id":"W3080591105","doi":"10.1007/s42452-020-03342-5","title":"Chitosan-PEO nanofiber mats for copper removal in aqueous solution using a new versatile electrospinning collector","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"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":"Fondation de l’UQTR; Natural Sciences and Engineering Research Council of Canada; Mitacs; Université du Québec à Trois-Rivières","keywords":"Adsorption; Aqueous solution; Sorption; Electrospinning; Nanofiber; Chemical engineering; Materials science; Chitosan; Langmuir adsorption model; Copper; Endothermic process; Desorption; Composite material; Chemistry; Polymer; Organic chemistry; Metallurgy","score_opus":0.043263369379846074,"score_gpt":0.2926334856709183,"score_spread":0.24937011629107222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080591105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85227615,0.0006448985,0.12154346,0.008482875,0.0005996809,0.0028288,0.000046430527,0.0004613047,0.013116384],"genre_scores_gemma":[0.74663746,0.000007608053,0.25162703,0.0012187988,0.0003006405,0.00012188311,0.000008736922,0.000022397959,0.000055414264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99726933,0.00003660165,0.00044277,0.00082110567,0.0005858528,0.00084431755],"domain_scores_gemma":[0.99917877,0.00015659779,0.0001868926,0.00019575647,0.00002904372,0.00025294346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051204616,0.00022395424,0.00032099365,0.00014379463,0.00062650803,0.00018327286,0.00066484464,0.0001309894,0.00013840424],"category_scores_gemma":[0.000071177536,0.00020698819,0.00006385868,0.0019890284,0.00048588734,0.00017619162,0.00011750199,0.0001320348,0.00006695248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006568386,0.000029189063,0.00003415164,0.000017573571,0.000002978039,0.0000015292549,0.00047774726,0.000120805336,0.99059635,0.0042529763,0.0032711246,0.0011298992],"study_design_scores_gemma":[0.00089466287,0.00024579934,0.00007917354,0.00002933665,0.000018564728,0.000017700948,0.0001234997,0.014486639,0.9742764,0.0041062348,0.005348287,0.00037365392],"about_ca_topic_score_codex":0.00010602395,"about_ca_topic_score_gemma":0.00003128768,"teacher_disagreement_score":0.13008358,"about_ca_system_score_codex":0.00015855576,"about_ca_system_score_gemma":0.00074863783,"threshold_uncertainty_score":0.84407336},"labels":[],"label_agreement":null},{"id":"W3082180351","doi":"10.1007/s42452-020-03444-0","title":"Rolling resistance prediction of off-road tire using advanced simulation and analytical techniques","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"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":"Terrain; Geotechnical engineering; Truck; Finite element method; Rolling resistance; Mean squared error; Marine engineering; Geology; Computer science; Environmental science; Mathematics; Engineering; Structural engineering; Automotive engineering; Statistics","score_opus":0.031939860473329744,"score_gpt":0.2693303506159631,"score_spread":0.23739049014263336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082180351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99040884,0.00014035212,0.0069945073,0.000029164117,0.00003543362,0.00011140643,0.0000071753684,0.00014501948,0.0021281133],"genre_scores_gemma":[0.9970246,0.000030776806,0.002887559,0.000016796395,0.000028944409,0.0000024887515,0.0000011541858,0.000006298084,0.0000014009065],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945974,0.0000040875534,0.00014309256,0.00014445395,0.0001480121,0.00010060764],"domain_scores_gemma":[0.9998393,0.000022053124,0.0000308878,0.000049895432,0.000018359764,0.000039502756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013960508,0.00006243946,0.00009843211,0.00004115162,0.0000697376,0.00002076922,0.000069946895,0.000039193437,0.000001591412],"category_scores_gemma":[0.000016873682,0.00006094261,0.000012930933,0.00030688284,0.000060618193,0.00008624527,0.000017341083,0.000056144054,2.7540995e-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":[0.000023811739,0.000006883123,0.00039882847,0.00009741073,0.00000923721,5.028671e-7,0.0003702323,0.2724348,0.034523543,0.006175826,0.0000043701243,0.6859546],"study_design_scores_gemma":[0.00006246658,0.000018480869,0.00022235997,0.000019405987,0.0000066070797,1.326682e-7,0.00012173782,0.9974181,0.0018325021,0.00016898215,0.00007339579,0.00005579711],"about_ca_topic_score_codex":9.801234e-7,"about_ca_topic_score_gemma":0.0000018067406,"teacher_disagreement_score":0.72498333,"about_ca_system_score_codex":0.00001524393,"about_ca_system_score_gemma":0.0000110152,"threshold_uncertainty_score":0.24851675},"labels":[],"label_agreement":null},{"id":"W3085092330","doi":"10.1007/s42452-020-03457-9","title":"Iron ore mining areas and their reclamation in Minas Gerais State, Brazil: impacts on soil physical properties","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Environment and Climate Change Canada","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Revegetation; Environmental science; Available water capacity; Bulk density; Land reclamation; Soil quality; Organic matter; Vegetation (pathology); Land cover; Hydrology (agriculture); Soil science; Soil water; Land use; Geography; Geology; Ecology","score_opus":0.038604993024654796,"score_gpt":0.2252322953214044,"score_spread":0.18662730229674962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085092330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98242193,0.000048266447,5.9422933e-7,0.006570499,0.00002085994,0.00017019146,0.0000025606332,0.000046838322,0.010718236],"genre_scores_gemma":[0.9987826,0.000014911418,0.000011423442,0.0010002742,0.00010803429,0.000016395321,0.0000042183483,7.307088e-7,0.00006140914],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991182,0.0000240921,0.00010314424,0.0003284106,0.0001910142,0.00023511164],"domain_scores_gemma":[0.9997513,0.00008630348,0.000053144246,0.000026271566,0.000009551801,0.00007342801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788671,0.0001238199,0.00013186755,0.000016889657,0.0002135161,0.0001740265,0.0001913698,0.000029510147,0.00002513481],"category_scores_gemma":[0.000027604607,0.000041994303,0.000023288394,0.00047307607,0.00018871797,0.00014686113,0.000072166025,0.000071667186,0.000017558754],"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":[0.00015645075,0.00012990186,0.011797952,0.00004511389,0.0000072353487,0.0000032445273,0.012965941,0.0002226113,0.66265154,0.0011671317,0.002961196,0.30789167],"study_design_scores_gemma":[0.0009714956,0.0031075296,0.73169166,0.0002168349,0.00001898063,0.0000020143152,0.06358342,0.013359064,0.17263971,0.004827068,0.0081379,0.001444343],"about_ca_topic_score_codex":0.00007695096,"about_ca_topic_score_gemma":0.00037965024,"teacher_disagreement_score":0.7198937,"about_ca_system_score_codex":0.000008978646,"about_ca_system_score_gemma":0.000006815344,"threshold_uncertainty_score":0.1712478},"labels":[],"label_agreement":null},{"id":"W3092548137","doi":"10.1007/s42452-020-03561-w","title":"Measurement of the flow behavior index of Newtonian and shear-thinning fluids via analysis of the flow velocity characteristics in a mini-channel","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"RGL Reservoir Management; Alberta Ingenuity","keywords":"Non-Newtonian fluid; Shear thinning; Newtonian fluid; Reynolds number; Mechanics; Rheology; Particle image velocimetry; Generalized Newtonian fluid; Shadowgraph; Rheometer; Velocimetry; Materials science; Power-law fluid; Physics; Shear rate; Turbulence; Composite material","score_opus":0.021314041608132328,"score_gpt":0.22486592431188426,"score_spread":0.20355188270375194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092548137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97861856,0.00011668175,0.020405076,0.00037037142,0.0000710822,0.00016325782,0.000019731617,0.0000081233875,0.00022712533],"genre_scores_gemma":[0.998831,0.000009422977,0.0010788377,0.00004920276,0.00000998386,0.000012167188,6.067202e-7,0.000003521738,0.0000052767336],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889255,0.000023960863,0.00035017502,0.00019828575,0.0003821358,0.00015287688],"domain_scores_gemma":[0.9995895,0.000047218517,0.00012693957,0.00014893981,0.00005659914,0.000030823772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143127,0.000101886035,0.00034692092,0.00007352811,0.00010182254,0.0000054177976,0.00034468475,0.00006472,0.000006548241],"category_scores_gemma":[0.00012208056,0.00006389671,0.00007918579,0.0011512707,0.0006382376,0.000024677875,0.00021234683,0.00014870494,1.5410417e-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":[0.000044602213,0.00009410709,0.24410623,0.00012027458,0.00025981286,5.611328e-7,0.008869439,0.03419803,0.70878327,0.0013367691,0.000007821339,0.002179069],"study_design_scores_gemma":[0.000115845556,0.00001364345,0.24334978,0.000022030932,0.00012807777,1.622196e-7,0.00026217714,0.7451196,0.010886969,0.00004353265,8.7664796e-7,0.000057361667],"about_ca_topic_score_codex":0.0000551093,"about_ca_topic_score_gemma":0.00007250748,"teacher_disagreement_score":0.7109215,"about_ca_system_score_codex":0.000019768127,"about_ca_system_score_gemma":0.00004204488,"threshold_uncertainty_score":0.2605632},"labels":[],"label_agreement":null},{"id":"W3094450977","doi":"10.1007/s42452-020-03684-0","title":"Tetragonal tungsten bronze/barium hexaferrite room-temperature multiferroic composite ceramics","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"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":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Curie temperature; Ferroelectricity; Tetragonal crystal system; Magnetization; Multiferroics; Ceramic; Tungsten; Barium titanate; Ferromagnetism; Dielectric; Magnetic hysteresis; Condensed matter physics; Phase transition; Bronze; Composite material; Crystal structure; Magnetic field; Metallurgy; Crystallography; Chemistry; Optoelectronics","score_opus":0.024410635366643337,"score_gpt":0.24686892257345225,"score_spread":0.2224582872068089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094450977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98741984,0.00028708202,0.00016956567,0.0027103839,0.0014461173,0.0005043911,0.00012625336,0.00033977965,0.006996561],"genre_scores_gemma":[0.99103504,0.000034166576,0.0060135587,0.0021471507,0.00047257455,0.000029172974,0.000036404177,0.00003436063,0.00019755738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99658805,0.00009632578,0.0005987435,0.0010623117,0.00086329394,0.0007912494],"domain_scores_gemma":[0.99885464,0.000100483565,0.00022044293,0.0003149458,0.00008719766,0.00042228235],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007448074,0.0004059903,0.00051385834,0.00011037979,0.0008260502,0.0007605833,0.0011322107,0.0002851053,0.0009212339],"category_scores_gemma":[0.000049047503,0.0003128026,0.00011119582,0.00067178026,0.0006083585,0.00029323468,0.0003214294,0.00035934988,0.0009002022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000602063,0.000055345616,0.00013118566,0.00004906293,0.000010280458,0.000012816305,0.00081768783,0.002263265,0.99070376,0.0050473562,0.0007379948,0.00011105228],"study_design_scores_gemma":[0.0013653173,0.00024601884,0.0019931977,0.00006693606,0.000058700563,0.000036649242,0.0007997178,0.009796549,0.97604865,0.001269747,0.007203603,0.0011148872],"about_ca_topic_score_codex":0.000042951906,"about_ca_topic_score_gemma":0.000011374777,"teacher_disagreement_score":0.01465507,"about_ca_system_score_codex":0.00004899547,"about_ca_system_score_gemma":0.00017521976,"threshold_uncertainty_score":0.9999921},"labels":[],"label_agreement":null},{"id":"W3097238948","doi":"10.1007/s42452-020-03667-1","title":"Using infrared spectrum analyses to predict tensile strength of fibres in a group of closely related plant species: case of Mascarenes Pandanus spp.","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Crystallinity; Ultimate tensile strength; Absorbance; Materials science; Correlation coefficient; Cellulose; Composite material; Mathematics; Chemistry; Chemical engineering; Statistics; Chromatography; Engineering","score_opus":0.06028252754707375,"score_gpt":0.2965455392390451,"score_spread":0.23626301169197134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097238948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971883,0.00016396909,0.000088779794,0.00006190815,0.000082678904,0.00034240712,0.00021986646,0.000036718888,0.001815362],"genre_scores_gemma":[0.9914444,0.0000067355522,0.008464472,0.000027718097,0.00002704294,0.0000041964336,0.000007971515,0.000007947788,0.000009484683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997815,0.000056631805,0.0007974835,0.0004436848,0.00054984423,0.00033734686],"domain_scores_gemma":[0.99892867,0.00023065078,0.00042270636,0.00023638946,0.000057303245,0.00012431016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038813517,0.00019439135,0.0005721168,0.0003407258,0.00008668022,0.000042636002,0.00055501907,0.00007363279,0.00013818998],"category_scores_gemma":[0.00012037932,0.0001514408,0.00007906422,0.0019293947,0.0005353398,0.00019573771,0.00024614728,0.00010297686,0.000004558454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013422161,0.000022272156,0.0011812045,0.000086653716,0.000012494412,0.000044829765,0.0016965092,0.01199237,0.98300105,0.0017376996,0.000036461934,0.000054228665],"study_design_scores_gemma":[0.00034560706,0.0003649548,0.0008571482,0.000115719195,0.000028955052,0.00004499596,0.001852609,0.0062343352,0.9891879,0.0007787604,0.000017293542,0.0001717246],"about_ca_topic_score_codex":0.0007119559,"about_ca_topic_score_gemma":0.000119588934,"teacher_disagreement_score":0.008375692,"about_ca_system_score_codex":0.0000311463,"about_ca_system_score_gemma":0.000121708414,"threshold_uncertainty_score":0.61755764},"labels":[],"label_agreement":null},{"id":"W3102697381","doi":"10.1007/s42452-020-03778-9","title":"Forecasting the deterioration of cement-based mixtures under sulfuric acid attack using support vector regression based on Bayesian optimization","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Bayesian probability; Sulfuric acid; Computer science; Machine learning; Regression analysis; Test data; Artificial intelligence; Materials science; Metallurgy","score_opus":0.046473097913046865,"score_gpt":0.259764197942392,"score_spread":0.2132911000293451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102697381","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":[0.2385166,0.000023914448,0.7580991,0.0002740945,0.00046090948,0.00034722034,0.0000049165646,0.000118175885,0.0021550998],"genre_scores_gemma":[0.97672004,8.0283473e-7,0.022862455,0.00024266633,0.00014124325,0.000009560988,0.000007802312,0.000014483807,9.524006e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904966,0.000018057692,0.00020567897,0.00019486953,0.00031094544,0.00022077562],"domain_scores_gemma":[0.99967366,0.000042830772,0.00009621255,0.00011153051,0.000030520194,0.000045220044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020513003,0.00013899356,0.00012353994,0.000075909265,0.000235933,0.000065266024,0.00018749635,0.000049309383,0.000039454222],"category_scores_gemma":[0.000024173516,0.0000914834,0.000035169884,0.00046547322,0.000101235164,0.00008958152,0.000016953321,0.00009800148,0.0000010016453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015329124,0.0000027942563,0.000095416486,0.000030052868,0.0000023573743,4.888282e-7,0.00017221442,0.8653188,0.13333568,0.00003780347,0.00004840399,0.00094070705],"study_design_scores_gemma":[0.00014810507,0.000057239897,0.000060247618,0.000040332936,0.0000082792885,3.0339677e-7,0.00020120518,0.7780113,0.221343,0.00002090425,0.000020625255,0.00008841847],"about_ca_topic_score_codex":0.0000019009475,"about_ca_topic_score_gemma":0.0000015398224,"teacher_disagreement_score":0.73820347,"about_ca_system_score_codex":0.00004629736,"about_ca_system_score_gemma":0.00006447768,"threshold_uncertainty_score":0.3730585},"labels":[],"label_agreement":null},{"id":"W3105241043","doi":"10.1007/s42452-020-03808-6","title":"Non-linear source term and scenario for an operational oil spill model","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Oil Spill Detection and Mitigation","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":"Response Biomedical (Canada); Environment and Climate Change Canada","funders":"","keywords":"Oil spill; Environmental science; Mode (computer interface); Petroleum engineering; Dispersion (optics); Marine engineering; Computer science; Environmental engineering; Geology; Engineering","score_opus":0.031013378272404937,"score_gpt":0.2537722592307849,"score_spread":0.22275888095837995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105241043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94972295,0.0000048068646,0.023388462,0.00102954,0.000043625638,0.00015222527,0.0000059481977,0.00004841789,0.02560403],"genre_scores_gemma":[0.9866821,0.000003991451,0.01078165,0.0020976737,0.000066358596,0.0000319058,0.0000053337067,0.0000052677215,0.00032570955],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991681,0.000004736542,0.000103866834,0.00034803423,0.00022240476,0.00015285911],"domain_scores_gemma":[0.99975616,0.000010055284,0.00003264381,0.000057658333,0.0000047118665,0.00013876584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019949953,0.00007837241,0.000067205736,0.000015976977,0.0004357952,0.00007758114,0.00014869397,0.000032638865,0.00011156044],"category_scores_gemma":[0.000010473573,0.00006617429,0.00001654457,0.000160109,0.0003406828,0.00019538404,0.00006013603,0.000046727702,0.00006652269],"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":[0.00005593493,0.0000602977,0.0039117686,0.000022465123,0.000004247171,2.444803e-7,0.0040785433,0.22352289,0.63161504,0.0037312056,0.0012348031,0.13176256],"study_design_scores_gemma":[0.00034050675,0.00015176884,0.0013175707,0.0000021363162,0.0000044809544,0.0000013263924,0.00027237704,0.9753917,0.018663084,0.0006105389,0.0030838614,0.00016065172],"about_ca_topic_score_codex":0.000024171699,"about_ca_topic_score_gemma":0.00005220702,"teacher_disagreement_score":0.7518688,"about_ca_system_score_codex":0.000019104094,"about_ca_system_score_gemma":0.000020510653,"threshold_uncertainty_score":0.33518285},"labels":[],"label_agreement":null},{"id":"W3106614355","doi":"10.1007/s42452-020-03783-y","title":"Vibration analysis of rotor-bearing system using polynomial interpolation for squeeze film damper models","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"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; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Damper; Interpolation (computer graphics); Acceleration; Vibration; Finite element method; Rotor (electric); Transient (computer programming); Bearing (navigation); Control theory (sociology); Polynomial; Polynomial interpolation; Rotational speed; Computer science; Transient response; Linear interpolation; Engineering; Structural engineering; Mathematics; Mechanical engineering; Acoustics; Physics; Mathematical analysis; Artificial intelligence","score_opus":0.03915584913207134,"score_gpt":0.2412782386886713,"score_spread":0.20212238955659995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106614355","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":[0.16896129,0.000033401622,0.82883734,0.00001975396,0.000098335026,0.00019238165,0.000011962581,0.00013867467,0.0017068768],"genre_scores_gemma":[0.9871674,7.526853e-7,0.0127048865,0.000015575493,0.000067582376,0.000025429894,0.000009572087,0.0000074906784,0.0000012777149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937683,0.0000064768847,0.00022160602,0.0001625764,0.00010483981,0.00012766778],"domain_scores_gemma":[0.99977183,0.000046068864,0.000052263167,0.00007098188,0.000019925215,0.000038939797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016399482,0.00007954022,0.0001734816,0.00020683341,0.00008535593,0.000026173379,0.00013389293,0.00005435472,0.000008692358],"category_scores_gemma":[0.000009446349,0.00008011049,0.00005705284,0.00084043975,0.000040515733,0.00019124657,0.000015702848,0.000048974678,0.0000012224141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000619142,0.0000018137532,0.00008369207,0.00003878571,0.000052798587,2.7064095e-8,0.00048798262,0.8859049,0.10787972,0.0054086633,0.000015904769,0.000119526456],"study_design_scores_gemma":[0.00009060031,0.000011169403,0.00027426553,0.0000065712625,0.0000857405,1.7918764e-7,0.0003236493,0.98774534,0.011332277,0.000021890799,0.000026935097,0.000081354294],"about_ca_topic_score_codex":0.000007962358,"about_ca_topic_score_gemma":0.0000032342655,"teacher_disagreement_score":0.81820613,"about_ca_system_score_codex":0.000032573433,"about_ca_system_score_gemma":0.000017193177,"threshold_uncertainty_score":0.3266811},"labels":[],"label_agreement":null},{"id":"W3108339989","doi":"10.1007/s42452-020-03824-6","title":"How climatic and sociotechnical factors influence crop production: a case study of canola production","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Canada First Research Excellence Fund","keywords":"Sociotechnical system; Agriculture; Climate change; Yield (engineering); Production (economics); Canola; Agricultural productivity; Environmental science; Environmental resource management; Geography; Ecology; Computer science; Economics; Agronomy","score_opus":0.027262509353341697,"score_gpt":0.24159447239435486,"score_spread":0.21433196304101315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108339989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99633276,0.0000131303705,0.000016654776,0.0023474065,0.00008634274,0.00070161314,5.859511e-7,0.000062001156,0.00043952663],"genre_scores_gemma":[0.9984501,0.000004710556,0.0013891993,0.000048600345,0.000052625935,0.0000043920772,2.9270427e-7,0.000004837853,0.000045231696],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99839824,0.000045371693,0.00018779185,0.0006362149,0.00053210725,0.00020029243],"domain_scores_gemma":[0.9995377,0.000024951807,0.00014780981,0.0001737311,0.000017260012,0.00009856776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030009003,0.00014169519,0.0001728258,0.000024224295,0.00040020794,0.00009063693,0.00020169168,0.000055393295,0.000009962424],"category_scores_gemma":[0.00022116449,0.00009486811,0.000016937476,0.0010412193,0.0010372386,0.000272772,0.00017500728,0.00017117425,0.0000061701107],"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":[0.000025097524,0.00045365165,0.080706485,0.00009649501,0.00002395412,0.00008865112,0.043511935,0.019714851,0.84309953,0.000081836,0.0014109671,0.010786547],"study_design_scores_gemma":[0.0015152391,0.0037080422,0.37015238,0.00010762682,0.00029555877,0.0030111908,0.34596244,0.0041123414,0.26516467,0.0012712585,0.0022091693,0.002490046],"about_ca_topic_score_codex":0.00025763485,"about_ca_topic_score_gemma":0.00026984478,"teacher_disagreement_score":0.57793486,"about_ca_system_score_codex":0.000043723678,"about_ca_system_score_gemma":0.000017311695,"threshold_uncertainty_score":0.38686094},"labels":[],"label_agreement":null},{"id":"W3108609593","doi":"10.1007/s42452-020-03875-9","title":"Separation dynamics of immiscible liquids","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"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":"Separator (oil production); Dimensionless quantity; Reynolds number; Mathematics; Inverse; Computational fluid dynamics; Cartesian coordinate system; Nonlinear system; Mechanics; Fluent; Geometry; Thermodynamics; Physics","score_opus":0.013007810623043856,"score_gpt":0.2308356803565335,"score_spread":0.21782786973348967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108609593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68326795,0.00010094905,0.07127379,0.00036320565,0.00021057812,0.0001415376,0.000010345841,0.00019773668,0.24443392],"genre_scores_gemma":[0.99700564,0.000011941229,0.0028707935,0.000046036224,0.000029446013,0.0000038312273,0.0000039429715,0.0000054715224,0.000022900349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995236,0.0000021204596,0.00011618446,0.00010993425,0.0001306988,0.00011748218],"domain_scores_gemma":[0.9998678,0.000012509259,0.000015557824,0.0000540197,0.0000094109755,0.000040691877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010902341,0.000056497374,0.00008120657,0.000035030636,0.000051038973,0.000024042276,0.00015071483,0.000025266989,0.000021014743],"category_scores_gemma":[0.0000048832953,0.000052469688,0.000018327497,0.0003545707,0.00007635706,0.000058691596,0.000022012822,0.00004357512,0.000016707618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060037314,0.00000883157,0.00021011301,0.00007686735,0.000010549679,6.016241e-7,0.0010028835,0.36494377,0.26672894,0.36077252,0.00064950547,0.0055894013],"study_design_scores_gemma":[0.000054672844,0.000028567349,0.00007271453,0.000003285585,0.0000025001855,2.405126e-7,0.00018124725,0.9872624,0.011143215,0.0008967881,0.0002827887,0.00007157414],"about_ca_topic_score_codex":0.000003954116,"about_ca_topic_score_gemma":0.000014799841,"teacher_disagreement_score":0.6223186,"about_ca_system_score_codex":0.000014397047,"about_ca_system_score_gemma":0.000017688499,"threshold_uncertainty_score":0.21396518},"labels":[],"label_agreement":null},{"id":"W3108718857","doi":"10.1007/s42452-020-03901-w","title":"Finite element analysis of elastic–plastic and fracture behavior in functionally graded materials (FGMs)","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Alberta","funders":"","keywords":"Materials science; Necking; Composite material; Ductility (Earth science); Strain hardening exponent; Gradation; Finite element method; Void (composites); Ultimate tensile strength; Volume fraction; Fracture (geology); Plasticity; Structural engineering; Creep","score_opus":0.021621453332982588,"score_gpt":0.2517906465571007,"score_spread":0.2301691932241181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108718857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606807,0.000026563668,0.013219026,0.00002722797,0.000057296867,0.00015608747,0.000019048159,0.00009326335,0.00033344165],"genre_scores_gemma":[0.9981632,0.0000060435214,0.0017117064,0.000053746146,0.000014729506,0.000030160987,0.000012746795,0.000005047188,0.000002617497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921805,0.000008482372,0.00026463933,0.0001631767,0.0002302047,0.00011544477],"domain_scores_gemma":[0.9997048,0.00013220188,0.00004977843,0.00005864375,0.000012266534,0.00004230242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990993,0.00008863596,0.00020632161,0.00027194404,0.000033815035,0.000030984334,0.000107140906,0.000038415306,0.00026188922],"category_scores_gemma":[0.000043350323,0.00007657963,0.00002330244,0.0009192251,0.00007554463,0.000068119894,0.000023744535,0.00005125718,0.0000038993135],"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":[0.000030412819,0.00003911645,0.012539604,0.00010309654,0.00014003944,0.0000025007973,0.0007930914,0.56029856,0.41491225,0.009931977,0.000081397244,0.0011279751],"study_design_scores_gemma":[0.0006052583,0.00026056633,0.28774285,0.000030696287,0.0007688317,8.0106935e-7,0.00036265817,0.26501426,0.44085786,0.003063041,0.0006802008,0.0006129549],"about_ca_topic_score_codex":0.000005295077,"about_ca_topic_score_gemma":0.000009382131,"teacher_disagreement_score":0.2952843,"about_ca_system_score_codex":0.000011629558,"about_ca_system_score_gemma":0.000010388438,"threshold_uncertainty_score":0.31228268},"labels":[],"label_agreement":null},{"id":"W3110206715","doi":"10.1007/s42452-020-03908-3","title":"A novel protocol for mapping the spatial distribution of storm derived sediment in lakes","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Geological Survey of Canada; Natural Resources Canada; Carleton University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Storm; Sediment; Distribution (mathematics); Environmental science; Geology; Oceanography; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Mathematics","score_opus":0.045086683352242383,"score_gpt":0.26206798597202985,"score_spread":0.21698130261978746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110206715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7888508,0.0000053514236,0.123296574,0.0057283016,0.00005942197,0.07719749,0.00003972152,0.00005178465,0.004770565],"genre_scores_gemma":[0.9698014,2.0375714e-7,0.0006597236,0.00034690718,0.000020523887,0.029160624,0.0000053457225,0.0000021520466,0.000003102095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911684,0.000008739127,0.0001915861,0.00024296883,0.00025022266,0.00018964511],"domain_scores_gemma":[0.99977106,0.000049381815,0.00008185497,0.000057270172,0.0000038971475,0.00003654749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447163,0.00007758808,0.0001014577,0.0000111820955,0.0001814908,0.0000120080895,0.00032277283,0.000035125897,0.00018558491],"category_scores_gemma":[0.00001714641,0.00005048571,0.000023669874,0.00033457234,0.00056248903,0.0000802882,0.000045091274,0.00006099351,0.000008969039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005317,0.0005100422,0.094170965,0.00021332371,0.000018666342,0.0000013897442,0.011410654,0.027653176,0.84769887,0.004709302,0.0006731878,0.012408714],"study_design_scores_gemma":[0.0072318786,0.0013456242,0.38839522,0.000087316264,0.00003694679,0.0000029680943,0.003918504,0.05328312,0.45047465,0.004719785,0.08960711,0.0008968962],"about_ca_topic_score_codex":0.00008759611,"about_ca_topic_score_gemma":0.00034492533,"teacher_disagreement_score":0.39722425,"about_ca_system_score_codex":0.000021253065,"about_ca_system_score_gemma":0.00002896756,"threshold_uncertainty_score":0.20725143},"labels":[],"label_agreement":null},{"id":"W3118692280","doi":"10.1007/s42452-020-03980-9","title":"Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced machining processes and optimization","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":"Queen's University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Machining; Alloy; Materials science; Mechanical engineering; Process (computing); Fuzzy logic; Metallurgy; Control theory (sociology); Computer science; Fuzzy control system; Engineering; Artificial intelligence","score_opus":0.02650561579428809,"score_gpt":0.29028947662290866,"score_spread":0.2637838608286206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118692280","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":[0.21372765,0.000060188006,0.78398114,0.00001937655,0.0000695241,0.00024981942,0.000014166888,0.00006211052,0.0018160396],"genre_scores_gemma":[0.8853653,0.0000059099257,0.11443346,0.000087827386,0.000016070022,0.000049044822,0.000011249442,0.000020403664,0.000010726872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881375,0.0000071021877,0.00029901264,0.00032001812,0.00025032822,0.00030979788],"domain_scores_gemma":[0.99958795,0.00008863619,0.000104248924,0.00009119688,0.0000876387,0.000040302508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000274009,0.00013836642,0.00017765693,0.00011697481,0.00015563716,0.00004200176,0.00017010004,0.000042617216,0.0000032699643],"category_scores_gemma":[0.000087551736,0.00014126571,0.000028297241,0.000597202,0.00006530863,0.00025114158,0.000031885495,0.00010827478,1.6726061e-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":[0.000011995769,0.000014442486,0.00029812191,0.00013766394,0.0000041458707,5.9806564e-7,0.0007218252,0.96879506,0.028924191,0.00037019793,0.000003214761,0.0007185544],"study_design_scores_gemma":[0.00036457257,0.000018727802,0.000018410443,0.00007018834,0.000009995417,8.7871894e-7,0.0006490078,0.9769724,0.019973055,0.0017779908,0.0000066010393,0.0001381679],"about_ca_topic_score_codex":0.0000035733544,"about_ca_topic_score_gemma":0.000011745465,"teacher_disagreement_score":0.67163765,"about_ca_system_score_codex":0.000038019265,"about_ca_system_score_gemma":0.00013097357,"threshold_uncertainty_score":0.5760648},"labels":[],"label_agreement":null},{"id":"W3119130501","doi":"10.1007/s42452-020-04062-6","title":"Forced free vibrations of a square plate","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Vibration and Dynamic Analysis","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 Waterloo","funders":"","keywords":"Square (algebra); Vibration; Mathematics; Mathematical analysis; Mechanics; Volume (thermodynamics); Physics; Classical mechanics; Geometry; Acoustics; Thermodynamics","score_opus":0.011585466564556085,"score_gpt":0.2186606025275195,"score_spread":0.20707513596296342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119130501","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":[0.09851098,0.0001412837,0.559714,0.00026983308,0.00014562736,0.00009138507,0.000025105006,0.00019882638,0.34090292],"genre_scores_gemma":[0.9916496,0.0000081462895,0.008129922,0.000042555566,0.000014141923,0.000006654944,0.000008384016,0.0000034967702,0.00013705963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952036,0.000004539942,0.00012655008,0.00010337302,0.0001513271,0.00009384008],"domain_scores_gemma":[0.9997694,0.00002278466,0.000019026647,0.00013964355,0.000020233012,0.0000288991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007600597,0.00004915621,0.00008700932,0.00006470982,0.000086906766,0.00003248717,0.00013485877,0.000024519359,0.00028870377],"category_scores_gemma":[0.000013726573,0.000044776792,0.00003485767,0.00063275016,0.00007466373,0.00007469869,0.00002389263,0.00003302524,0.000017243265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015075522,0.000016704113,0.0002152138,0.000033895587,0.000047806694,0.000001694072,0.0009497027,0.6963458,0.11247447,0.1866519,0.0012994428,0.0019618336],"study_design_scores_gemma":[0.00019326272,0.00001019017,0.00036278478,0.000008028392,0.000018531277,0.0000014737777,0.0013417932,0.9076453,0.07675585,0.013063931,0.0004658132,0.00013306564],"about_ca_topic_score_codex":0.0000029565736,"about_ca_topic_score_gemma":0.000094077455,"teacher_disagreement_score":0.89313865,"about_ca_system_score_codex":0.0000071563204,"about_ca_system_score_gemma":0.00003703527,"threshold_uncertainty_score":0.31611037},"labels":[],"label_agreement":null},{"id":"W3119383149","doi":"10.1007/s42452-020-03979-2","title":"Temporally-differentiated biogenic carbon accounting of wood building product life cycles","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"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; Centre de Géomatique du Québec; Université Laval; Natural Resources Canada; Canadian Forest Service; Polytechnique Montréal","funders":"Natural Resources Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Demolition; Environmental science; Greenhouse gas; Carbon accounting; Carbon fibers; Life-cycle assessment; Work (physics); Product (mathematics); Environmental engineering; Production (economics); Engineering; Civil engineering; Ecology; Computer science","score_opus":0.013940983204313829,"score_gpt":0.24501114974516264,"score_spread":0.2310701665408488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119383149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98017204,0.00015398595,0.000028488092,0.00019279354,0.000088702865,0.00021685634,0.0000032894357,0.00004187537,0.019101992],"genre_scores_gemma":[0.9978615,0.000011165942,0.0018805856,0.000086582804,0.00003312291,0.000012151998,0.000003860827,0.000010195116,0.000100802405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791545,0.00005458425,0.00033693362,0.0006187063,0.0006189437,0.00045535728],"domain_scores_gemma":[0.99931824,0.000043620174,0.00016754687,0.0003312357,0.000008866197,0.00013047342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168697,0.00017965557,0.0002360064,0.00005350675,0.00026709496,0.00006934138,0.00041588838,0.000053647655,0.0006728854],"category_scores_gemma":[0.00013033436,0.00015296516,0.00007120998,0.0009067647,0.0009717872,0.00020272298,0.00046723938,0.00011653241,0.000021403293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008221426,0.00013517182,0.34422135,0.000022260312,0.000010269381,0.0000026212301,0.00033561024,0.000490185,0.6525674,0.00028644162,0.000036099325,0.0018844157],"study_design_scores_gemma":[0.00029157483,0.00004779011,0.41802263,0.000014905156,0.000026269441,0.0000049196633,0.0023274322,0.00061939325,0.5748732,0.0031945473,0.00022495945,0.00035234995],"about_ca_topic_score_codex":0.0003345953,"about_ca_topic_score_gemma":0.00006646695,"teacher_disagreement_score":0.07769413,"about_ca_system_score_codex":0.00012196657,"about_ca_system_score_gemma":0.00007405837,"threshold_uncertainty_score":0.7367623},"labels":[],"label_agreement":null},{"id":"W3119554394","doi":"10.1007/s42452-020-04018-w","title":"Folding photopolymerized origami sheets by post-curing","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Materials and Mechanics","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":"Hinge; Finite element method; Folding (DSP implementation); Structural engineering; Principal stress; Stress (linguistics); Deformation (meteorology); Square (algebra); 3D printing; Engineering drawing; Mechanical engineering; Computer science; Materials science; Geometry; Engineering; Composite material; Mathematics","score_opus":0.007007151823381166,"score_gpt":0.20862893105907324,"score_spread":0.20162177923569208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119554394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91505796,0.0015153157,0.014837273,0.000080558006,0.0018574198,0.00018519521,0.000029533856,0.0005782553,0.06585847],"genre_scores_gemma":[0.9938292,0.00011928751,0.005718096,0.000120506134,0.00006998478,0.000022213151,0.0000070418573,0.000017284983,0.00009639824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991,0.000005540263,0.00014863432,0.00024174998,0.00018244452,0.00032157896],"domain_scores_gemma":[0.99973965,0.000024733667,0.000023699806,0.00012661642,0.000015944253,0.00006938756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013709323,0.00012168395,0.00015350734,0.000034648056,0.00017036487,0.000094288254,0.00017001946,0.000042636886,0.00028071823],"category_scores_gemma":[0.000012547604,0.000114601746,0.000027479542,0.00027224352,0.00005045251,0.00011851733,0.000052895426,0.00006070013,0.000029359479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017638841,0.0000052094856,6.9806214e-7,0.000017122724,0.000003977585,0.000003182473,0.00007798194,0.00062144815,0.9880608,0.0075884415,0.0001111898,0.0035082132],"study_design_scores_gemma":[0.00015627593,0.000009614482,0.0000020520392,0.000012161527,0.0000042766283,0.0000048413463,0.0003566718,0.001413223,0.9900978,0.0014142003,0.00636116,0.00016768939],"about_ca_topic_score_codex":0.0000033474282,"about_ca_topic_score_gemma":0.0000030832841,"teacher_disagreement_score":0.07877121,"about_ca_system_score_codex":0.000022687089,"about_ca_system_score_gemma":0.00003198554,"threshold_uncertainty_score":0.46733236},"labels":[],"label_agreement":null},{"id":"W3120120209","doi":"10.1007/s42452-020-04107-w","title":"Trypan blue removal from water with zein sorbents and laccase","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological 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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trypan blue; Chemistry; Sorption; Chromatography; Sorbent; Adsorption; Desorption; Nuclear chemistry; Organic chemistry; Biochemistry","score_opus":0.01613121799603419,"score_gpt":0.1963352761297969,"score_spread":0.18020405813376272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120120209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947291,0.00008956629,0.000007746004,0.0012263187,0.000069227724,0.000091797825,0.000023646387,0.00005114177,0.003711469],"genre_scores_gemma":[0.9981839,0.000017415836,0.0009545608,0.00033743543,0.00013247752,0.000009015885,0.00012051623,7.187667e-7,0.0002439524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987957,0.000035912402,0.00012422394,0.00044417995,0.00033230003,0.00026771805],"domain_scores_gemma":[0.999692,0.00009271733,0.00003770083,0.000050280563,0.00003173702,0.0000955457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018383046,0.00011187208,0.000119016055,0.000011091792,0.0003319753,0.00018108355,0.00017522956,0.000059553262,0.00037581587],"category_scores_gemma":[0.000014093977,0.000033573113,0.000018247498,0.00035325062,0.00022927856,0.00013934479,0.00008069769,0.00008146975,0.00006239906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020983869,0.000042077758,0.0020407473,0.000001727237,0.000007071768,0.000037223082,0.00028534266,0.00001270342,0.9733457,0.0008565067,0.00020655761,0.023143362],"study_design_scores_gemma":[0.0005903969,0.0002293473,0.057155617,0.000027985223,0.0000316518,0.00006235286,0.0051497715,0.00032904875,0.9129306,0.0049650264,0.017989554,0.0005386407],"about_ca_topic_score_codex":0.00019780632,"about_ca_topic_score_gemma":0.0013564822,"teacher_disagreement_score":0.06041509,"about_ca_system_score_codex":0.000008553034,"about_ca_system_score_gemma":0.00001418177,"threshold_uncertainty_score":0.41149202},"labels":[],"label_agreement":null},{"id":"W3120131868","doi":"10.1007/s42452-020-04129-4","title":"Tip relief designed to optimize contact fatigue life of spur gears using adapted PSO and Firefly algorithms","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Gear and Bearing Dynamics Analysis","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Firefly algorithm; Firefly protocol; Curvature; Particle swarm optimization; Computer science; Turning radius; Computation; Radius of curvature; Metaheuristic; Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Engineering; Mechanical engineering; Artificial intelligence; Mean curvature; Geometry","score_opus":0.034120954284013134,"score_gpt":0.2559147300077187,"score_spread":0.22179377572370557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120131868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9146338,0.00027756023,0.080316044,0.00007219591,0.0001085398,0.00012404603,0.000008404367,0.0000720268,0.0043873587],"genre_scores_gemma":[0.9278563,0.00003166974,0.07200377,0.000042259475,0.000020309199,0.0000037016093,0.0000023379657,0.000010268602,0.000029356534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999053,0.000012502008,0.00020439044,0.00025530768,0.0002517516,0.00022304247],"domain_scores_gemma":[0.99959576,0.000053188942,0.000034524077,0.0001481052,0.000044448112,0.0001239975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028225716,0.00011466137,0.0002374852,0.00012460921,0.0001175574,0.0000834429,0.00015543384,0.000050162784,0.000033050852],"category_scores_gemma":[0.000034602137,0.00010799948,0.000042030806,0.0007217133,0.00006926169,0.000054289565,0.000060182767,0.00007233315,0.000004826196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000880104,0.000026515236,0.0006815275,0.000043372555,0.00008063945,0.000007897142,0.0005426825,0.6944364,0.29942477,0.001379029,0.000058128786,0.0033102885],"study_design_scores_gemma":[0.00025371613,0.00004299619,0.0029165584,0.00003507769,0.00004932333,0.000003936121,0.0005734122,0.9802874,0.015352911,0.0001754911,0.00007307159,0.0002361625],"about_ca_topic_score_codex":0.0000798811,"about_ca_topic_score_gemma":0.000028492477,"teacher_disagreement_score":0.285851,"about_ca_system_score_codex":0.000021151207,"about_ca_system_score_gemma":0.00006759772,"threshold_uncertainty_score":0.44040912},"labels":[],"label_agreement":null},{"id":"W3121234961","doi":"10.1007/s42452-020-04133-8","title":"Effect of carbon anode production parameters on anode cracking","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical 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":true,"ca_institutions":"Aluminerie Alouette (Canada); Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Chicoutimi","keywords":"Anode; Materials science; Electrical resistivity and conductivity; Carbon fibers; Cracking; Electrolysis; Porosity; Composite material; Metallurgy; Aluminium; Electrolyte; Electrode; Electrical engineering; Chemistry; Composite number","score_opus":0.010870613604520785,"score_gpt":0.25037716604321647,"score_spread":0.23950655243869567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121234961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676087,0.00013384111,0.00011649615,0.00010331198,0.00008727602,0.00007101752,8.391597e-7,0.000074981646,0.03180352],"genre_scores_gemma":[0.9992771,0.00000823297,0.00044478022,0.000037250324,0.00007770652,0.000020121961,0.0000049989835,0.000009034858,0.00012076062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987604,0.000015796477,0.00018211358,0.00043241624,0.00032795552,0.00028132525],"domain_scores_gemma":[0.99945736,0.00019642536,0.00007088621,0.00018378203,0.000035047047,0.000056471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032199372,0.00014168418,0.00020775976,0.000033645832,0.000076238364,0.000022236842,0.00019510054,0.000073282754,0.000021448377],"category_scores_gemma":[0.00042482323,0.000117228876,0.00004511813,0.0005830966,0.00016530415,0.000044642096,0.000038663937,0.00018312203,0.0000041548474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003863189,0.00002453953,0.00006731994,0.00021671026,0.000008517861,0.0000015185341,0.00004343574,0.003382593,0.99412644,0.0002415814,0.00002728902,0.0018214367],"study_design_scores_gemma":[0.00011872231,0.000061034298,0.0000026726882,0.000056523695,0.000014425333,0.0000052320725,0.00003133231,0.0017107825,0.9974292,0.0003928517,0.00005055303,0.00012668066],"about_ca_topic_score_codex":0.000005180895,"about_ca_topic_score_gemma":6.049366e-7,"teacher_disagreement_score":0.03168276,"about_ca_system_score_codex":0.000030573126,"about_ca_system_score_gemma":0.000041026145,"threshold_uncertainty_score":0.4780455},"labels":[],"label_agreement":null},{"id":"W3121601982","doi":"10.1007/s42452-021-04197-0","title":"Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced machining processes and optimization","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 New Brunswick","funders":"","keywords":"Machinability; Minification; Particle swarm optimization; Machining; Tool wear; Titanium alloy; Materials science; Algorithm; Lubrication; Metallurgy; Surface roughness; Computer science; Mechanical engineering; Alloy; Mathematical optimization; Engineering; Mathematics; Composite material","score_opus":0.02706870859685274,"score_gpt":0.2718731187792219,"score_spread":0.24480441018236915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121601982","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":[0.055023994,0.00016580748,0.94441557,0.000007658518,0.00005924453,0.00017120261,0.000008675687,0.000024040357,0.00012380817],"genre_scores_gemma":[0.43558574,0.00004183254,0.5643307,0.0000044069952,0.0000052124838,0.00001349033,0.000007779574,0.000007873234,0.000002949417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992664,0.000005255324,0.00023472276,0.00018526254,0.00015369341,0.00015467669],"domain_scores_gemma":[0.9997578,0.00003909389,0.0000899636,0.00006634452,0.00002470865,0.000022062042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014223544,0.0000889822,0.00015208108,0.00008127656,0.00007456225,0.000010694755,0.00009504581,0.00004100779,0.0000075803996],"category_scores_gemma":[0.0000221235,0.00008939641,0.000022147364,0.00035435078,0.000082944665,0.00011809917,0.000024494644,0.00004971721,1.18341845e-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":[0.0000022925672,0.000029631125,0.00007375814,0.00008977678,0.0000043768405,1.5406947e-7,0.00040087727,0.98128223,0.016127879,0.00009994034,3.8720754e-7,0.0018886948],"study_design_scores_gemma":[0.0002574086,0.000020531834,0.000020618589,0.00003468293,0.000007897744,6.8108943e-7,0.00067487377,0.8953515,0.10340428,0.0001213668,0.000015675012,0.00009045244],"about_ca_topic_score_codex":0.0000028152454,"about_ca_topic_score_gemma":0.0000022423378,"teacher_disagreement_score":0.38056177,"about_ca_system_score_codex":0.0000287332,"about_ca_system_score_gemma":0.00003464111,"threshold_uncertainty_score":0.36454797},"labels":[],"label_agreement":null},{"id":"W3122883960","doi":"10.1007/s42452-020-04090-2","title":"Impact of MTA blend % in melt spinning process and polyester properties","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"biodegradable polymer synthesis and properties","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":"Lockheed Martin (Canada)","funders":"","keywords":"Polyethylene terephthalate; Terephthalic acid; Materials science; Polyester; Breakage; Composite material; Spinning; Fourier transform infrared spectroscopy; Tenacity (mineralogy); Fiber; Raw material; Melting point; Chemical engineering; Organic chemistry; Chemistry","score_opus":0.0400440706629253,"score_gpt":0.2796777318817989,"score_spread":0.23963366121887358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122883960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98846334,0.0067208265,0.000012086257,0.0002076267,0.000059649927,0.000084546555,0.000005280238,0.000018087569,0.004428565],"genre_scores_gemma":[0.9993202,0.00003190424,0.00045597873,0.000052239615,0.000026218624,0.000018607083,3.2962933e-7,0.000005913964,0.00008857701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873596,0.000042714055,0.00025237427,0.00036980907,0.00028943238,0.00030972672],"domain_scores_gemma":[0.9996436,0.00003114125,0.0000871111,0.00014676698,0.000038807095,0.000052570063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373004,0.00013046192,0.00024438425,0.00009096498,0.00017081048,0.00016379791,0.0002494129,0.000045291083,0.00019182276],"category_scores_gemma":[0.00003481805,0.00007929193,0.000030789382,0.00040344536,0.000650083,0.00024788626,0.000100342026,0.000059297603,0.000008846462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034163008,0.000047126912,0.007307867,0.00007506235,0.0000042553916,0.0000020375649,0.0020103662,0.000027323604,0.9807469,0.0003378389,0.000013001673,0.009394039],"study_design_scores_gemma":[0.00011936005,0.00006424179,0.005914869,0.00008704202,0.0000049992905,0.000008330936,0.001462263,0.00020096372,0.9916214,0.00035711235,0.00002288408,0.00013654961],"about_ca_topic_score_codex":0.00028248972,"about_ca_topic_score_gemma":0.000052979838,"teacher_disagreement_score":0.010874466,"about_ca_system_score_codex":0.000013539947,"about_ca_system_score_gemma":0.00027869138,"threshold_uncertainty_score":0.32334313},"labels":[],"label_agreement":null},{"id":"W3124240561","doi":"10.1007/s42452-021-04170-x","title":"An overview of additive manufacturing technologies for musical wind instruments","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Additive Manufacturing and 3D Printing Technologies","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":"Personalization; Musical; Computer science; Foundation (evidence); Musical instrument; Systems engineering; Data science; Engineering; World Wide Web; Archaeology; Visual arts; Geography; Art","score_opus":0.043519970586523064,"score_gpt":0.2819168742269192,"score_spread":0.23839690364039612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124240561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98898053,0.00022293534,0.0026054177,0.00007613617,0.00017421065,0.00019815641,0.000070671755,0.0013412171,0.006330738],"genre_scores_gemma":[0.9835635,0.00012720225,0.016202379,0.00001476699,0.000023283279,0.000035688267,0.00001148988,0.0000120337,0.000009670039],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990014,0.000007437605,0.00018582317,0.00032322932,0.00018323104,0.0002988666],"domain_scores_gemma":[0.9995342,0.00009982108,0.000051066305,0.00026624982,0.000024832874,0.000023823144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017062384,0.0001514825,0.0002162934,0.00012746545,0.00015419492,0.00004779809,0.0004459903,0.000109242006,0.00003384766],"category_scores_gemma":[0.000059498714,0.00013435629,0.000051142542,0.00022672248,0.00045146226,0.000114058865,0.00013864617,0.00014002087,0.0000057327693],"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":[0.000007712483,0.0000626873,0.00008094992,0.00020275236,0.000058614023,0.000003882494,0.00024909634,0.0023019116,0.03627487,0.04823027,0.00040771507,0.91211957],"study_design_scores_gemma":[0.00013381228,0.000046534464,0.0010536402,0.000042069798,0.0000082550505,0.0000025703348,0.0018733209,0.0007046117,0.96618354,0.026266573,0.003516522,0.00016852561],"about_ca_topic_score_codex":0.000001619665,"about_ca_topic_score_gemma":0.0000042840006,"teacher_disagreement_score":0.9299087,"about_ca_system_score_codex":0.000024657336,"about_ca_system_score_gemma":0.000026533005,"threshold_uncertainty_score":0.54788905},"labels":[],"label_agreement":null},{"id":"W3130287225","doi":"10.1007/s42452-021-04315-y","title":"A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Manufacturing and Logistics Optimization","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Supply chain; Cellular manufacturing; Flexibility (engineering); Process (computing); Manufacturing engineering; Reliability (semiconductor); Contingency; Closed loop; Computer science; Engineering; Reliability engineering; Business; Control engineering","score_opus":0.02255079478110616,"score_gpt":0.236222902170987,"score_spread":0.21367210738988082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130287225","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":[0.1272766,0.00014534914,0.86480457,0.000014660487,0.00009668576,0.0003510246,0.0000076279825,0.00036938983,0.0069340835],"genre_scores_gemma":[0.8467447,0.000013275725,0.15297371,0.000017400864,0.000050638137,0.00009620547,0.000005463214,0.000032393327,0.00006618199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984196,0.000008527422,0.0003461215,0.0004996689,0.00024777564,0.00047832995],"domain_scores_gemma":[0.999409,0.00017592835,0.000100673904,0.00015830218,0.000054194807,0.00010189599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039446063,0.00025215614,0.00031639388,0.000093872346,0.00044424876,0.0002010987,0.00017154377,0.000057586927,0.0000055371324],"category_scores_gemma":[0.000066602624,0.00024349082,0.000041190488,0.0000849895,0.00014517327,0.00018850598,0.00006515557,0.00015218498,0.0000033251683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005170446,0.0000079459405,0.0000033287577,0.0006604942,0.000017645187,0.000008323949,0.00080734625,0.9869033,0.003907352,0.007350207,0.000014073859,0.0003147851],"study_design_scores_gemma":[0.0001761143,0.0000071026607,6.873471e-7,0.00009058395,0.00001709497,0.000014504907,0.0007342037,0.54480666,0.43619987,0.017767685,0.000008937256,0.00017657166],"about_ca_topic_score_codex":0.0000019036348,"about_ca_topic_score_gemma":0.0000013288123,"teacher_disagreement_score":0.7194681,"about_ca_system_score_codex":0.00006894767,"about_ca_system_score_gemma":0.000045051947,"threshold_uncertainty_score":0.9929268},"labels":[],"label_agreement":null},{"id":"W3133808748","doi":"10.1007/s42452-021-04372-3","title":"Activated release of hexanal and salicylaldehyde from imidazolidine precursors encapsulated in electrospun ethylcellulose-poly(ethylene oxide) fibers","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hexanal; Salicylaldehyde; Fourier transform infrared spectroscopy; Ethylene oxide; Chemistry; Polymer chemistry; Electrospinning; Nuclear chemistry; Materials science; Chemical engineering; Polymer; Organic chemistry; Copolymer; Schiff base","score_opus":0.010029949339622188,"score_gpt":0.24641719612916987,"score_spread":0.2363872467895477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133808748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99436307,0.0010678861,0.0006159965,0.0009648479,0.00008824455,0.00031311536,0.000055898534,0.0000967489,0.0024341776],"genre_scores_gemma":[0.96660215,0.00017839183,0.03271752,0.00022972334,0.000044829267,0.00006445788,0.000046020035,0.00001930558,0.00009762252],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99675214,0.00013528693,0.00064936315,0.0010129086,0.0007543933,0.00069593266],"domain_scores_gemma":[0.99850374,0.00044383644,0.00029232376,0.00044175296,0.000088406654,0.00022996026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087217084,0.00027657358,0.00047981367,0.0002226772,0.00024653767,0.0000959182,0.0006114123,0.00020800463,0.00037184093],"category_scores_gemma":[0.00011431107,0.0002503745,0.0000561024,0.0024347012,0.0013360307,0.00017042877,0.00019747963,0.00027589267,0.000029664448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004965252,0.00013440935,0.00032471446,0.000017062051,0.000009903162,0.0000064230435,0.00030892514,0.00002174128,0.992054,0.0057730684,0.00013333895,0.0011667605],"study_design_scores_gemma":[0.0005575123,0.00006719143,0.0024719543,0.000043601645,0.000021410073,0.0000060031944,0.00018618669,0.00022598692,0.98110396,0.014739214,0.00030383657,0.00027313817],"about_ca_topic_score_codex":0.00054710865,"about_ca_topic_score_gemma":0.00020223456,"teacher_disagreement_score":0.03210152,"about_ca_system_score_codex":0.000104826664,"about_ca_system_score_gemma":0.00044016773,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W3134990764","doi":"10.1007/s42452-021-04381-2","title":"Computational evaluation of a novel beta radiation probe design using integrated circuits","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Radiation Effects in Electronics","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":"Canadian Nuclear Laboratories","funders":"Texas A and M Engineering Experiment Station, Texas A and M University","keywords":"Beta particle; Radiation; Monte Carlo method; BETA (programming language); Alpha particle; Particle detector; Electronic circuit; Materials science; Attenuator (electronics); Natural rubber; Nuclear engineering; Physics; Nuclear physics; Optics; Computer science; Engineering; Electrical engineering; Composite material; Mathematics; Attenuation","score_opus":0.06537780587947384,"score_gpt":0.2975095729371133,"score_spread":0.23213176705763944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134990764","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":[0.22164461,0.00033088718,0.77521116,0.000017005028,0.00017446863,0.0003361328,0.000004974461,0.00007104955,0.002209727],"genre_scores_gemma":[0.95853174,0.0000026927917,0.041366477,0.00001562631,0.000028431085,0.00002306914,0.000020653044,0.000009180049,0.0000021179267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987436,0.00006052045,0.00021016729,0.00018395716,0.0006314843,0.00017026052],"domain_scores_gemma":[0.9994801,0.00014628818,0.00007067488,0.000086158405,0.0001887462,0.000027996564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014221411,0.000089143534,0.00011405829,0.00013087776,0.00009848633,0.000045654582,0.000118974014,0.000048466874,0.00003300394],"category_scores_gemma":[0.000078475445,0.000092010974,0.00002148952,0.0010487356,0.00008342118,0.00013850527,0.000008732937,0.000079657475,0.0000034154787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1283737e-7,0.000019122781,0.000016518692,0.000010789781,0.000011695824,6.726283e-8,0.00017400572,0.8971787,0.080004126,0.0060804035,0.000020796886,0.016483175],"study_design_scores_gemma":[0.00032242393,0.000013450636,0.000318846,0.000011345986,0.000025353755,0.0000034023155,0.00006487968,0.93680876,0.059783366,0.0025356482,0.00002074543,0.00009175687],"about_ca_topic_score_codex":0.0000030148112,"about_ca_topic_score_gemma":0.0000032144294,"teacher_disagreement_score":0.73688716,"about_ca_system_score_codex":0.00021716401,"about_ca_system_score_gemma":0.00063012174,"threshold_uncertainty_score":0.37520987},"labels":[],"label_agreement":null},{"id":"W3137296363","doi":"10.1007/s42452-021-04458-y","title":"Optimization studies on turbidity removal from cosmetics wastewater using aluminum sulfate and blends of fishbone","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Coagulation and Flocculation Studies","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":"Bruce Power (Canada)","funders":"","keywords":"Flocculation; Settling; Turbidity; Response surface methodology; Central composite design; Wastewater; Settling time; Sulfate; Chromatography; Pulp and paper industry; Chemistry; Mathematics; Materials science; Environmental engineering; Environmental science; Engineering; Metallurgy","score_opus":0.07469149955827303,"score_gpt":0.29954322557042884,"score_spread":0.2248517260121558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137296363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259496,0.00011426007,0.00070527266,0.00017417406,0.00016333496,0.000073820454,0.000008077069,0.000014086978,0.0061520175],"genre_scores_gemma":[0.97993565,0.000054482207,0.019743908,0.00008845458,0.000023141796,0.0000022131817,0.000004981763,0.0000034539303,0.00014373593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989805,0.000031942996,0.00020923471,0.000303656,0.00035258007,0.00012208862],"domain_scores_gemma":[0.9996413,0.000087226974,0.00010242406,0.00011448436,0.000021367267,0.00003319092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027279527,0.00009105512,0.00016143925,0.00003329609,0.0002646863,0.00003107686,0.00007146438,0.000027795762,0.0002877863],"category_scores_gemma":[0.000046458415,0.00007401039,0.000019861387,0.0003836018,0.0006421649,0.000087573855,0.000209296,0.00003886667,0.000009464632],"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":[0.00003694158,0.00008030544,0.011997276,0.0000152569455,0.000053373493,0.0000072295757,0.00807376,0.8395886,0.1346051,0.0016173186,0.00041846983,0.00350639],"study_design_scores_gemma":[0.0016579392,0.00014841903,0.049649894,0.00009503927,0.00015635838,0.000017131377,0.031384896,0.44829237,0.45509857,0.010783181,0.0017975039,0.00091869355],"about_ca_topic_score_codex":0.000022116035,"about_ca_topic_score_gemma":0.000034563564,"teacher_disagreement_score":0.3912962,"about_ca_system_score_codex":0.00003351661,"about_ca_system_score_gemma":0.000014285891,"threshold_uncertainty_score":0.3151058},"labels":[],"label_agreement":null},{"id":"W3137739771","doi":"10.1007/s42452-021-04455-1","title":"Temporal stability of primate scent samples","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Primate Behavior and Ecology","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 Calgary","funders":"Anglia Ruskin University; University of Wolverhampton","keywords":"Sample (material); Extraction (chemistry); Primate; Chromatography; Mass spectrometry; Gas chromatography–mass spectrometry; Degradation (telecommunications); Chemistry; Environmental chemistry; Biology; Ecology; Computer science","score_opus":0.10434132969955301,"score_gpt":0.3719511692188344,"score_spread":0.2676098395192814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137739771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8896794,0.00010361651,0.00011129348,0.00017086718,0.00043541018,0.000113007954,0.000020013804,0.00003671961,0.10932973],"genre_scores_gemma":[0.9977612,0.0000041360327,0.0019921435,0.000113202936,0.000022271057,0.000024930438,0.000008879019,0.0000043722916,0.00006888786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876255,0.000057841153,0.00026096276,0.0003943569,0.00019269642,0.00033157205],"domain_scores_gemma":[0.9994277,0.00008073979,0.00009505929,0.0002950054,0.00004266475,0.000058848305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006704531,0.00008873167,0.00021043059,0.00005031814,0.00013511513,0.0000203578,0.00028115886,0.000066044195,0.0048484383],"category_scores_gemma":[0.000022763788,0.00007602844,0.000046386525,0.00035625015,0.000641602,0.000039681683,0.00011618604,0.00007737929,0.00012678622],"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":[0.00005846911,0.0007447738,0.66431564,0.000043777352,0.000020763737,0.000016104119,0.002758382,0.0000042562833,0.15646325,0.16414808,0.0011915165,0.010234969],"study_design_scores_gemma":[0.00069401384,0.00014980284,0.72472835,0.0000072857474,0.000030702762,0.000021438591,0.008299106,0.000009589458,0.25142637,0.009782253,0.0045446437,0.0003064472],"about_ca_topic_score_codex":0.00010642635,"about_ca_topic_score_gemma":0.0001323928,"teacher_disagreement_score":0.15436582,"about_ca_system_score_codex":0.000026032943,"about_ca_system_score_gemma":0.00015471737,"threshold_uncertainty_score":0.99606127},"labels":[],"label_agreement":null},{"id":"W3137898253","doi":"10.1007/s42452-021-04411-z","title":"Learning framework for carbon emissions predictions incorporating a RReliefF driven features selection and an iterative neural network architecture improvement","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Environmental Impact and Sustainability","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":"Concordia University","funders":"European Environment Agency; European Commission","keywords":"Benchmarking; Artificial neural network; European union; Computer science; Backpropagation; Architecture; Selection (genetic algorithm); Machine learning; Artificial intelligence; Process (computing); Business","score_opus":0.007726081862187516,"score_gpt":0.2612782971532468,"score_spread":0.25355221529105926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137898253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825544,0.000034050227,0.0077595753,0.00035823698,0.000089917645,0.00048218932,0.000004091733,0.00006122247,0.0029552726],"genre_scores_gemma":[0.9689109,0.0000035758574,0.030551672,0.0001504554,0.00012722572,0.00010320421,0.000012394489,0.000009422546,0.0001311944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985685,0.00007754614,0.00016666258,0.0005406618,0.0002726423,0.00037403844],"domain_scores_gemma":[0.99947804,0.00013278713,0.00009852638,0.00011616481,0.00000822261,0.00016624894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00035860366,0.0001609199,0.000137078,0.000024832565,0.0013532834,0.00015575506,0.00012702715,0.000090620255,0.00006342082],"category_scores_gemma":[0.00010257098,0.00013351336,0.000036010362,0.00046247503,0.00042950734,0.00016521422,0.00018673541,0.00034077725,7.3304307e-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":[0.00003487163,0.00013301657,0.14860153,0.00001876714,0.000013678992,0.0000019629385,0.005142057,0.7383195,0.084251694,0.0032603885,0.00005932186,0.0201632],"study_design_scores_gemma":[0.0010602738,0.003672636,0.3306258,0.00009167397,0.00010308202,0.00004392266,0.02653172,0.4021009,0.029299812,0.20420106,0.0009679882,0.0013011465],"about_ca_topic_score_codex":0.00006627536,"about_ca_topic_score_gemma":0.00023613997,"teacher_disagreement_score":0.33621863,"about_ca_system_score_codex":0.00013440906,"about_ca_system_score_gemma":0.00003679758,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W3149341622","doi":"10.1007/s42452-021-04532-5","title":"Identifying maize yield and precipitation gaps in Uganda","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","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 du Québec à Montréal; McGill University","funders":"Université Mohammed VI Polytechnique; World Bank Group","keywords":"Precipitation; Yield (engineering); Growing season; Agriculture; Environmental science; Climate change; Agronomy; Crop yield; Climatology; Geography; Meteorology; Biology; Ecology","score_opus":0.06863660620801018,"score_gpt":0.27726309649991787,"score_spread":0.2086264902919077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149341622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865903,0.000393178,0.0000015680098,0.001860699,0.00009495632,0.000121561396,0.0000110793335,0.000033405697,0.010893239],"genre_scores_gemma":[0.99904513,0.00016095994,0.00020254622,0.00032500274,0.00009032399,0.000014035407,0.000017609653,4.0569697e-7,0.00014395399],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989638,0.000021095235,0.00014713303,0.00035138841,0.00024838877,0.00026822055],"domain_scores_gemma":[0.99959093,0.00022009813,0.000054921173,0.000029802804,0.000029191573,0.00007503815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035976598,0.00009752555,0.00012094933,0.000017502694,0.00022575461,0.000262008,0.00014953979,0.000065839944,0.00037651815],"category_scores_gemma":[0.00009360593,0.00003625635,0.000022106731,0.00088769564,0.00011245526,0.00017793795,0.00008881345,0.00009193939,0.000020484826],"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":[0.0000052339205,0.000034498753,0.009137604,0.00000929982,0.0000017050933,0.0000064750516,0.00088551256,0.0000049317964,0.97072035,0.0011189346,0.0003266158,0.01774884],"study_design_scores_gemma":[0.00025435074,0.00010948585,0.86920714,0.000117333875,0.000009526461,0.00003630754,0.030009678,0.000056730983,0.08710154,0.00993432,0.0027282247,0.00043536155],"about_ca_topic_score_codex":0.000081850114,"about_ca_topic_score_gemma":0.004489105,"teacher_disagreement_score":0.88361883,"about_ca_system_score_codex":0.000018381877,"about_ca_system_score_gemma":0.000010072676,"threshold_uncertainty_score":0.41226095},"labels":[],"label_agreement":null},{"id":"W3153317834","doi":"10.1007/s42452-021-04555-y","title":"Mapping in unstructured natural environment: a sensor fusion framework for wearable sensor suites","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Robotics and Sensor-Based Localization","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 Laval","funders":"Agence de l’Eau Rhin-Meuse","keywords":"Computer science; Sensor fusion; Residual; Ground truth; Simultaneous localization and mapping; Computer vision; Artificial intelligence; Wearable computer; Real-time computing; Data mining; Robot; Mobile robot; Algorithm; Embedded system","score_opus":0.012446096400518442,"score_gpt":0.21566431468216826,"score_spread":0.20321821828164982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153317834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82547235,0.0009459434,0.16991228,0.00033833334,0.0006941463,0.0004800717,0.000013346427,0.00016354301,0.0019799701],"genre_scores_gemma":[0.91161925,0.000087406515,0.088002756,0.00009523556,0.00007803584,0.000015552261,0.0000138108435,0.000015558611,0.00007239761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988995,0.000011847524,0.00020607728,0.00030976112,0.00022874885,0.00034406313],"domain_scores_gemma":[0.99957305,0.00018892456,0.000031198077,0.00014327942,0.000014591423,0.00004898416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018254675,0.0001399259,0.00016747182,0.000119720986,0.00017719941,0.000100115445,0.000118711425,0.00010087584,0.000059418886],"category_scores_gemma":[0.000059384667,0.00013074595,0.000040393283,0.000518157,0.000094901254,0.00006198157,0.00002666335,0.0001488889,0.0000141224145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005660659,0.000013920444,0.00061071344,0.00006745337,0.000008336231,0.0000059717263,0.00060715503,0.7755524,0.20616256,0.013143622,0.000047678754,0.00377453],"study_design_scores_gemma":[0.0005549844,0.0000208415,0.0022269492,0.00012168966,0.000008865964,0.000008998234,0.0028571556,0.8560269,0.11782259,0.017521255,0.002333664,0.00049611425],"about_ca_topic_score_codex":0.0000035996213,"about_ca_topic_score_gemma":0.000007257514,"teacher_disagreement_score":0.08833997,"about_ca_system_score_codex":0.00005242669,"about_ca_system_score_gemma":0.00002430985,"threshold_uncertainty_score":0.5331665},"labels":[],"label_agreement":null},{"id":"W3157925543","doi":"10.1007/s42452-021-04575-8","title":"Occupational exposure of librarians to mold spores and metal particles: a real-time case study","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Indoor Air Quality and Microbial Exposure","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 British Columbia","funders":"","keywords":"Spore; Particulates; Mold; Percentile; Environmental science; Environmental engineering; Mathematics; Materials science; Statistics; Composite material; Biology; Botany; Ecology","score_opus":0.022695773622196668,"score_gpt":0.263478592726061,"score_spread":0.24078281910386434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157925543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99244475,0.000011579146,0.000053869895,0.00015019266,0.000036461886,0.00026275578,0.00001957546,0.000021310556,0.0069994857],"genre_scores_gemma":[0.9955567,0.0000019021604,0.0040093507,0.00018285187,0.000020391662,0.000015718177,0.0000022503782,0.000004431177,0.00020636784],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987427,0.000070966875,0.00024093055,0.0003945296,0.00033733062,0.00021353018],"domain_scores_gemma":[0.9995755,0.000075632364,0.00006373977,0.00016826448,0.000009976028,0.00010689301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005706857,0.0001022303,0.00017174277,0.000034070163,0.0002627227,0.000060340735,0.0001639763,0.000035182515,0.00084872876],"category_scores_gemma":[0.000029714693,0.000087113214,0.000030030116,0.000630795,0.00041760047,0.0001836577,0.00022759222,0.00005115165,0.00007853888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008490041,0.0008006245,0.09176386,0.000014721895,0.000029439714,0.0005759214,0.023070559,0.0016211083,0.86825454,0.0055414583,0.0012571022,0.0069857757],"study_design_scores_gemma":[0.0035000104,0.002808736,0.22087878,0.000049943428,0.00021999444,0.0018950482,0.15021613,0.00095805904,0.6093651,0.0055319653,0.0028921175,0.0016841169],"about_ca_topic_score_codex":0.00068010006,"about_ca_topic_score_gemma":0.0006805752,"teacher_disagreement_score":0.2588894,"about_ca_system_score_codex":0.000014732224,"about_ca_system_score_gemma":0.00006704598,"threshold_uncertainty_score":0.9292985},"labels":[],"label_agreement":null},{"id":"W3159012693","doi":"10.1007/s42452-021-04558-9","title":"A budget-constrained partial protection planning of a rail intermodal terminal network","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Infrastructure Resilience and Vulnerability 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":"McMaster University; Concordia University; Acadia University","funders":"","keywords":"Metaheuristic; Computer science; Truck; Operations research; Decomposition; Component (thermodynamics); Flexibility (engineering); Mathematical optimization; Risk analysis (engineering); Engineering; Business; Artificial intelligence; Economics; Mathematics","score_opus":0.013781106931475934,"score_gpt":0.24105852795336094,"score_spread":0.227277421021885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159012693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88376945,0.0001083274,0.09459029,0.00005914327,0.0002681991,0.00014958685,0.0000033764725,0.00010897215,0.020942634],"genre_scores_gemma":[0.9971358,0.000001926978,0.0026379132,0.000019424011,0.00016400892,0.000022964323,0.000002169451,0.000004586957,0.000011183789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901867,0.000023701927,0.00023821341,0.00022270918,0.00022602516,0.0002706862],"domain_scores_gemma":[0.99972326,0.000033669035,0.000045565637,0.00012475635,0.000028203798,0.00004457422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036118482,0.00010526315,0.00018933696,0.00006825073,0.00016923358,0.000052015228,0.00015744277,0.000058616064,0.000118507116],"category_scores_gemma":[0.00002682527,0.00009266502,0.000065197426,0.00070687506,0.0003365388,0.000093254974,0.000030937084,0.0001481201,0.000004459648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019320332,0.000015678233,0.0009901605,0.000072543415,0.000038826667,0.000011301795,0.0007905885,0.84206134,0.11910348,0.0029039846,0.00009075645,0.033902027],"study_design_scores_gemma":[0.00062704703,0.0001585353,0.004992428,0.0001691586,0.00009453707,0.00010804496,0.0041341344,0.6297482,0.34574926,0.0122890165,0.0012586651,0.0006709245],"about_ca_topic_score_codex":0.0000066672083,"about_ca_topic_score_gemma":0.000010404668,"teacher_disagreement_score":0.22664578,"about_ca_system_score_codex":0.000020640562,"about_ca_system_score_gemma":0.00007912941,"threshold_uncertainty_score":0.377877},"labels":[],"label_agreement":null},{"id":"W3160109260","doi":"10.1007/s42452-021-04617-1","title":"Geomechanical characterization of a heterogenous rock mass using geological and laboratory test results: a case study of the Niobec Mine, Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Rock Mechanics and Modeling","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":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Rock mass classification; Hydrogeology; Geomechanics; Geotechnical engineering; Rock mechanics; Mining engineering","score_opus":0.019153911776550358,"score_gpt":0.21432387580922552,"score_spread":0.19516996403267517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160109260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630654,0.000042363798,0.0032851987,0.000019257343,0.000094950265,0.00016117048,0.00004229123,0.000014073697,0.00003416119],"genre_scores_gemma":[0.9996057,0.0000057333878,0.00033006843,0.000022404021,0.00001787227,0.0000059017393,0.0000014517452,0.0000059449862,0.000004893363],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990969,0.00002170009,0.00027523586,0.00020259191,0.00025449324,0.00014909639],"domain_scores_gemma":[0.9996056,0.00006048061,0.00007691622,0.00015561198,0.0000671055,0.00003428237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021193524,0.00008965285,0.0001633042,0.00003163059,0.00014752659,0.000021870359,0.0001262389,0.000042875512,0.0000024452959],"category_scores_gemma":[0.00005235223,0.00006663335,0.000014194576,0.00040422985,0.000025693278,0.00003996478,0.00008319638,0.0000754164,6.116067e-8],"study_design_candidate":"bench_or_experimental","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":[0.000004274234,0.000056284556,0.00020803389,0.0000244075,0.000009121693,0.000045463894,0.00048211636,0.04401907,0.9548436,0.00014168788,0.0000017282144,0.00016425966],"study_design_scores_gemma":[0.0005790936,0.000120862715,0.00048374265,0.00004963601,0.00004233839,0.00012429584,0.008531992,0.7553922,0.23428673,0.000101860736,0.000039343307,0.00024792936],"about_ca_topic_score_codex":0.010438271,"about_ca_topic_score_gemma":0.16563424,"teacher_disagreement_score":0.72055686,"about_ca_system_score_codex":0.000030961473,"about_ca_system_score_gemma":0.00021536887,"threshold_uncertainty_score":0.9961513},"labels":[],"label_agreement":null},{"id":"W3160535369","doi":"10.1007/s42452-021-04608-2","title":"Significance of cutting plane in liquid metal embrittlement severity quantification","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Welding Techniques Analysis","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; International Zinc Association; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; ArcelorMittal","keywords":"Liquid metal embrittlement; Cracking; Welding; Materials science; Coating; Plane (geometry); Metallurgy; Embrittlement; Spot welding; Composite material; Mathematics","score_opus":0.02150619474965754,"score_gpt":0.2700048801851596,"score_spread":0.24849868543550208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160535369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82136375,0.00027639107,0.16418646,0.00009641138,0.00009504307,0.00020061902,0.0000135045475,0.0002433922,0.013524418],"genre_scores_gemma":[0.9457165,0.000043096257,0.054170743,0.000010059752,0.000011755052,0.00002515663,0.0000069347684,0.0000055716487,0.0000101715395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991251,0.0000140676,0.00025342955,0.00022332388,0.00021493694,0.00016910498],"domain_scores_gemma":[0.9996893,0.000048188638,0.00005397565,0.00016311428,0.00002258954,0.000022870245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046289142,0.00007754683,0.0001635318,0.00009744291,0.00004840894,0.00001619376,0.00018139585,0.00003014832,0.00003794837],"category_scores_gemma":[0.000024795947,0.00008085499,0.000028922765,0.00083772826,0.000094123345,0.0000783253,0.00003569374,0.00007965384,0.0000037395314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052083556,0.000027789949,0.00033003054,0.000056672056,0.000012648088,0.0000030575313,0.00019490102,0.07879103,0.90186834,0.014349723,0.00004293297,0.0043176385],"study_design_scores_gemma":[0.00005524406,0.000014336012,0.00033040476,0.000019587269,0.00000853706,0.0000011657257,0.00041458785,0.02438386,0.972159,0.0021297415,0.00036029168,0.00012323489],"about_ca_topic_score_codex":0.00002165768,"about_ca_topic_score_gemma":0.000051277486,"teacher_disagreement_score":0.124352746,"about_ca_system_score_codex":0.00004112892,"about_ca_system_score_gemma":0.000027686821,"threshold_uncertainty_score":0.32971707},"labels":[],"label_agreement":null},{"id":"W3161488082","doi":"10.1007/s42452-021-04636-y","title":"Pre- and post-pyrolysis effects on iron impregnation of ultrasound pre-treated softwood biochar for potential catalysis applications","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Thermochemical Biomass Conversion Processes","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":"Université du Québec à Trois-Rivières","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Softwood; Pyrolysis; Catalysis; Pulp and paper industry; Chemistry; Chemical engineering; Materials science; Organic chemistry; Composite material; Engineering","score_opus":0.003593994035342138,"score_gpt":0.20757616297763046,"score_spread":0.20398216894228832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161488082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940928,0.0006038202,0.0043371054,0.0000492688,0.00003483946,0.000405456,0.000048716487,0.000116766874,0.00031117952],"genre_scores_gemma":[0.998397,0.000051305713,0.0011638743,0.000024543942,0.000026360314,0.00019973406,0.00008986569,0.000011039172,0.00003627344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991326,0.000008165994,0.00016296023,0.000320013,0.00020771325,0.00016858915],"domain_scores_gemma":[0.9993862,0.0002555543,0.000057085483,0.00016107634,0.00008217711,0.000057897105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104141254,0.00012522674,0.00015927697,0.000110132365,0.00012865415,0.00004631947,0.00016560002,0.000075519885,0.000019823563],"category_scores_gemma":[0.000041000632,0.0001141034,0.00004957833,0.0005906872,0.00013803097,0.00008061985,0.000029669005,0.000042990596,0.000005288459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013024269,0.000032341617,0.000056543064,0.00022137552,0.000032120515,1.4920855e-7,0.000105064035,0.00037747534,0.98957866,0.00038823416,0.000022311497,0.009172674],"study_design_scores_gemma":[0.00024165671,0.000047796384,0.0005870522,0.000016547816,0.00007985859,0.0000016265802,0.000099841905,0.00023424534,0.9980965,0.00044115767,0.000028336848,0.00012537344],"about_ca_topic_score_codex":0.0000059545746,"about_ca_topic_score_gemma":0.0000021204053,"teacher_disagreement_score":0.0090473015,"about_ca_system_score_codex":0.00002220102,"about_ca_system_score_gemma":0.000026880718,"threshold_uncertainty_score":0.46530017},"labels":[],"label_agreement":null},{"id":"W3171102635","doi":"10.1007/s42452-021-04690-6","title":"Remediation scenario of the abandoned Kettara mine site (Morocco): acid mine drainage (AMD) transport modeling","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Groundwater flow and contamination 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":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Environmental remediation; Aquifer; Groundwater; Acid mine drainage; Environmental science; Groundwater flow; Groundwater model; Hydrology (agriculture); Contamination; Drainage; Environmental engineering; Soil science; Geology; Mining engineering; Geotechnical engineering; Environmental chemistry; Chemistry","score_opus":0.015573690082073703,"score_gpt":0.2132403975809242,"score_spread":0.19766670749885049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171102635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97629,0.000096002004,0.007040096,0.0009408499,0.00014576997,0.00016942888,0.0000059643203,0.000020752072,0.015291145],"genre_scores_gemma":[0.9971588,0.000010531178,0.0009857911,0.0002475657,0.00003304607,0.000021612159,0.000008918989,0.000005019355,0.0015287189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983982,0.000028261711,0.0002794299,0.00037888016,0.00066601427,0.00024921907],"domain_scores_gemma":[0.99959224,0.000027412281,0.000099618526,0.0002133061,0.000024604637,0.000042832795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005072299,0.00012703805,0.00017194584,0.000033145592,0.00041553573,0.000030732695,0.00031843048,0.00003923027,0.0002078586],"category_scores_gemma":[0.000018967547,0.0000871126,0.000069035996,0.0006969977,0.00044612022,0.00018493446,0.00013115002,0.00007643393,0.000038276197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035444402,0.000171536,0.09566638,0.000031585558,0.000025281835,0.000007903095,0.009651669,0.019955082,0.8579719,0.001583149,0.0002456454,0.014654436],"study_design_scores_gemma":[0.0028018155,0.00015430922,0.4095072,0.00009215987,0.00018027952,0.000021830203,0.007923782,0.06534578,0.50119245,0.003505476,0.008129689,0.001145261],"about_ca_topic_score_codex":0.00019781126,"about_ca_topic_score_gemma":0.0015666669,"teacher_disagreement_score":0.35677946,"about_ca_system_score_codex":0.000047173195,"about_ca_system_score_gemma":0.000033269087,"threshold_uncertainty_score":0.3552349},"labels":[],"label_agreement":null},{"id":"W3190844108","doi":"10.1007/s42452-021-04732-z","title":"Semiarid bunchgrasses accumulate molybdenum on alkaline copper mine tailings: assessing phytostabilization in the greenhouse","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Peatlands and Wetlands Ecology","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":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada; Thompson Rivers University","keywords":"Tailings; Compost; Biomass (ecology); Agronomy; Tussock; Revegetation; Shoot; Environmental science; Randomized block design; Bioconcentration; Biology; Chemistry; Environmental chemistry; Land reclamation; Ecology","score_opus":0.025563632372040377,"score_gpt":0.28328313511571535,"score_spread":0.25771950274367494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190844108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710775,0.000026395488,0.00019150441,0.0012184526,0.000100018005,0.00015995528,0.0000025302097,0.000028491377,0.02719516],"genre_scores_gemma":[0.99756813,0.000022484335,0.00041474312,0.0017116484,0.000060168048,0.000026083275,0.000018841547,0.0000072949815,0.00017062419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983659,0.000095388255,0.00022845872,0.0004933977,0.0004508269,0.00036606553],"domain_scores_gemma":[0.999376,0.00023464115,0.000087334076,0.00024376564,0.000009353518,0.000048913174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095948577,0.00014504962,0.00016292164,0.000055090142,0.00035051737,0.0001785496,0.00040314172,0.00007127197,0.00046845814],"category_scores_gemma":[0.00008909351,0.00009517853,0.000034368077,0.0010011282,0.00037438626,0.00020453142,0.00013290787,0.00015183665,0.00011873631],"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":[0.00003519536,0.0005713364,0.5465103,0.000017106364,0.000009328045,0.000084331856,0.0019120349,0.053185068,0.3822033,0.0018545226,0.0060442225,0.00757324],"study_design_scores_gemma":[0.0028021303,0.00048279847,0.8346802,0.00009836888,0.000054640655,0.000091788956,0.0074758516,0.02079906,0.09184196,0.0085777985,0.031716194,0.001379223],"about_ca_topic_score_codex":0.00013300208,"about_ca_topic_score_gemma":0.0019790085,"teacher_disagreement_score":0.29036134,"about_ca_system_score_codex":0.00006377201,"about_ca_system_score_gemma":0.000045857414,"threshold_uncertainty_score":0.5129288},"labels":[],"label_agreement":null},{"id":"W3204180200","doi":"10.1007/s42452-021-04783-2","title":"Evaluation of nano-confined catalytic oxidation air purification technology on eliminating marijuana chemicals and odour","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Air Quality and Health 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":"University of British Columbia","funders":"","keywords":"Cannabinol; Cannabidiol; Cannabis; Dronabinol; Tetrahydrocannabinol; Air quality index; Pollutant; Environmental science; Environmental chemistry; Toxicology; Chemistry; Cannabinoid; Medicine; Organic chemistry","score_opus":0.0810402699240706,"score_gpt":0.3336093152675176,"score_spread":0.252569045343447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204180200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97113353,0.00005685265,0.00027525364,0.0052600056,0.000039834486,0.0002570311,0.0000018197575,0.000024886398,0.022950757],"genre_scores_gemma":[0.9966989,0.000012209863,0.0028163758,0.000388625,0.000011966988,0.00002518276,0.000007762327,0.0000030568942,0.000035932055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844813,0.000061521954,0.00023719641,0.00033505485,0.0007271109,0.00019098975],"domain_scores_gemma":[0.9994693,0.00008831965,0.0001769023,0.00016848995,0.00004094417,0.00005608596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027723864,0.00007628984,0.0001152204,0.000070378584,0.00022757467,0.000017114957,0.0001420025,0.000079252655,0.00020610532],"category_scores_gemma":[0.00049870444,0.00006980764,0.000011454282,0.0007232116,0.0004823544,0.00011214145,0.00007016685,0.000072831484,0.000047660338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009343517,0.000085435786,0.0011548828,0.000030374116,0.0000039518427,2.135091e-7,0.0006942979,0.00075164624,0.7082429,0.013471347,0.00024018774,0.27531543],"study_design_scores_gemma":[0.00035733008,0.00008491843,0.031183988,0.000030428459,0.000031613374,0.0000029369069,0.0015839292,0.009159473,0.9341833,0.022874916,0.0003649263,0.0001422371],"about_ca_topic_score_codex":0.000049350103,"about_ca_topic_score_gemma":0.000052374493,"teacher_disagreement_score":0.2751732,"about_ca_system_score_codex":0.00011056256,"about_ca_system_score_gemma":0.000108247135,"threshold_uncertainty_score":0.28466728},"labels":[],"label_agreement":null},{"id":"W3214136791","doi":"10.1007/s42452-021-04853-5","title":"Roboethics principles and policies in Europe and North America","year":2021,"lang":"en","type":"review","venue":"SN Applied Sciences","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","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":"Cogmation Robotics (Canada); Toronto Metropolitan University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Political science","score_opus":0.23696740275924538,"score_gpt":0.44326770671451077,"score_spread":0.20630030395526539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214136791","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":[0.00018028956,0.86880195,0.0000023867858,0.0014203703,0.00011350932,0.0003519791,0.000013699777,0.00003166303,0.12908415],"genre_scores_gemma":[0.00039142361,0.9981571,0.0004053799,0.0004446158,0.00018220085,0.000021883943,0.000007280594,0.000014575523,0.00037553848],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974522,0.00038911882,0.0003921768,0.00056727603,0.00064965634,0.0005495762],"domain_scores_gemma":[0.99829805,0.0009296883,0.00026812972,0.00015108366,0.00013006586,0.00022298336],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0022983616,0.00025999823,0.00095201883,0.00017732762,0.0013241016,0.0009391442,0.00052616326,0.0003195433,0.000019499597],"category_scores_gemma":[0.0014007424,0.00021210611,0.000062839164,0.0023768249,0.004934219,0.00019867854,0.00033479466,0.00073258585,0.000008071719],"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":[4.269622e-7,0.000023302317,0.000112517206,0.0007310305,0.000015427458,0.000007574188,0.023033647,0.0000030255655,1.8439299e-7,0.38372904,0.00011914977,0.59222466],"study_design_scores_gemma":[0.000031624553,0.000019076953,0.000067952904,0.00077843934,0.000037415623,0.0000010989075,0.0061624134,0.0000014010449,5.8067847e-8,0.001320543,0.99130696,0.00027302673],"about_ca_topic_score_codex":0.0021255447,"about_ca_topic_score_gemma":0.013152838,"teacher_disagreement_score":0.9911878,"about_ca_system_score_codex":0.00004441714,"about_ca_system_score_gemma":0.002212217,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W3216743433","doi":"10.1007/s42452-021-04865-1","title":"Indirect estimate of in loco moisture via normative mineralogy calculation with correction of seasonal effect on itabirite (banded iron formation) of the Pico complex, Quadrilátero Ferrífero, Minas Gerais, Brazil","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Iron oxide chemistry and applications","field":"Energy","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":"Vale Canada Limited","keywords":"Moisture; Water content; Environmental science; Iron ore; Soil science; Beneficiation; Hydrology (agriculture); Mineralogy; Geology; Geotechnical engineering; Meteorology; Materials science; Geography; Metallurgy","score_opus":0.01207391349026359,"score_gpt":0.2642150561894854,"score_spread":0.2521411426992218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216743433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825427,0.000014961323,0.0013324794,0.00016103427,0.0000613345,0.00024755488,0.000013676768,0.000013200175,0.015613066],"genre_scores_gemma":[0.9992312,0.0000010562651,0.00048808212,0.000043939475,0.000016107124,0.000050611256,0.000075283926,0.000005832898,0.00008784112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988511,0.00008539373,0.00034255165,0.00021850374,0.000344581,0.00015783531],"domain_scores_gemma":[0.9991481,0.00019286943,0.00034196937,0.00020350155,0.00008579708,0.000027820584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027000564,0.000138609,0.00027269544,0.000069117974,0.0001319699,0.000013261075,0.00019128973,0.00007451474,0.000040298954],"category_scores_gemma":[0.00003633145,0.000095961404,0.000053084765,0.00080647814,0.00046389113,0.00012587209,0.0000379997,0.000121453006,0.0000025155578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020993379,0.00018501701,0.008987478,0.00023042002,0.00001570105,6.5464695e-7,0.0013190511,0.07097725,0.906588,0.005797382,0.00016760678,0.0055214674],"study_design_scores_gemma":[0.0006120086,0.000113741764,0.11414897,0.00008485956,0.000019949539,0.000009092442,0.00018767364,0.011189298,0.87296283,0.0004276243,0.00013016534,0.00011379341],"about_ca_topic_score_codex":0.00017212011,"about_ca_topic_score_gemma":0.0012526106,"teacher_disagreement_score":0.10516149,"about_ca_system_score_codex":0.00005061305,"about_ca_system_score_gemma":0.00006362551,"threshold_uncertainty_score":0.39131925},"labels":[],"label_agreement":null},{"id":"W4200478738","doi":"10.1007/s42452-021-04898-6","title":"Okra (Abelmoschus esculentus) in a refugee context in East Africa: Kitchen gardening helps with mineral provision","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Plant Micronutrient Interactions and Effects","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":"Mount Allison University","funders":"Centro de Instrumentación Científico-Técnica, Universidad de Jaén; Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; Consortium of International Agricultural Research Centers; Junta de Andalucía; Universidad de Jaén; U.S. Department of Agriculture; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Mount Allison University","keywords":"Refugee; Geography; Inductively coupled plasma mass spectrometry; Chemistry; Mass spectrometry; Archaeology","score_opus":0.020501803095122083,"score_gpt":0.20936330070405404,"score_spread":0.18886149760893195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200478738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877585,0.0002571465,0.0000025994675,0.0006736553,0.00008119477,0.00023179746,0.000012036864,0.00002796688,0.010955096],"genre_scores_gemma":[0.99911463,0.000014823589,0.0002504104,0.00010785085,0.000055860844,0.000043522625,0.000023916986,8.277244e-7,0.00038814364],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984937,0.00006636028,0.00021682531,0.00050530984,0.00029026897,0.00042754857],"domain_scores_gemma":[0.9996239,0.00014415199,0.000073366675,0.000052261243,0.000032786047,0.00007351872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044331403,0.00015012386,0.0002090065,0.00004942379,0.00020416817,0.00015911816,0.00024360057,0.00006432931,0.00012214943],"category_scores_gemma":[0.000032203036,0.000058083337,0.000036227495,0.0011952455,0.00012193769,0.00017771087,0.00008375714,0.00018440043,0.000038390102],"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":[0.00016619757,0.00033906818,0.016929012,0.000016815435,0.0000068817003,0.00010154696,0.0013552695,0.00012804712,0.9400419,0.0015578808,0.00047333117,0.038884036],"study_design_scores_gemma":[0.0072899563,0.003826435,0.44377497,0.0031885174,0.00007078504,0.0006743055,0.120523706,0.006106711,0.16812383,0.0031034956,0.23917694,0.0041403584],"about_ca_topic_score_codex":0.00019972128,"about_ca_topic_score_gemma":0.0054235,"teacher_disagreement_score":0.7719181,"about_ca_system_score_codex":0.000048178004,"about_ca_system_score_gemma":0.000037256043,"threshold_uncertainty_score":0.30264404},"labels":[],"label_agreement":null},{"id":"W4205178721","doi":"10.1007/s42452-021-04922-9","title":"Adaptive opto-electromechanical silicon-on-insulator increased bandwidth accelerometer","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Mechanical and Optical Resonators","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":"George Brown College","funders":"","keywords":"Accelerometer; Bandwidth (computing); Silicon on insulator; Voltage; Acoustics; Materials science; Electronic engineering; Silicon; Computer science; Engineering; Electrical engineering; Physics; Optoelectronics; Telecommunications","score_opus":0.022102891369248583,"score_gpt":0.25102397752108413,"score_spread":0.22892108615183554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205178721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8963428,0.000020484682,0.00234729,0.00028571786,0.00021162219,0.0004328273,0.00006465246,0.00007957651,0.10021504],"genre_scores_gemma":[0.9981269,3.965757e-7,0.0007409969,0.00060942525,0.00013665346,0.00020764444,0.000009252406,0.000012735502,0.00015598707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779844,0.00007122008,0.00023992395,0.00060170563,0.0007454996,0.00054321915],"domain_scores_gemma":[0.99913263,0.00029562684,0.0000812683,0.00021844333,0.000018432376,0.00025359294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005423272,0.00019798074,0.0002563288,0.00010288643,0.00077590207,0.000081892875,0.0006625151,0.00003084058,0.006546774],"category_scores_gemma":[0.000015138049,0.00015522908,0.00012275859,0.00076284265,0.00016073052,0.00006307093,0.0003147037,0.00038812766,0.00015159814],"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":[0.00008941726,0.00024506813,0.00022370016,0.000001284374,0.00002593502,0.0000013621416,0.000038793507,0.000056274137,0.012984218,0.96778566,0.00032172276,0.018226586],"study_design_scores_gemma":[0.0037676462,0.0044932053,0.0020097368,0.00002069016,0.00009725141,0.000004236345,0.0030745934,0.027345799,0.15790367,0.7546362,0.044570833,0.0020760933],"about_ca_topic_score_codex":0.000039685237,"about_ca_topic_score_gemma":5.395773e-7,"teacher_disagreement_score":0.21314938,"about_ca_system_score_codex":0.00004483605,"about_ca_system_score_gemma":0.00012959486,"threshold_uncertainty_score":0.9943614},"labels":[],"label_agreement":null},{"id":"W4206301278","doi":"10.1007/s42452-021-04859-z","title":"Hepatoprotective activity of the ethanolic extract of Morus indica roots from Indian Bodo tribes","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Drug-Induced Hepatotoxicity and Protection","field":"Pharmacology, Toxicology and Pharmaceutics","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":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Antioxidant; Traditional medicine; Lipid peroxidation; Chemistry; Pharmacology; Bilirubin; CCL4; Biochemistry; Biology; Medicine; Carbon tetrachloride; Internal medicine","score_opus":0.12127972876208096,"score_gpt":0.39535800272967103,"score_spread":0.2740782739675901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206301278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98822206,0.00009243448,0.00004636215,0.00038332824,0.00078482187,0.000916774,0.00024317781,0.000035391018,0.009275643],"genre_scores_gemma":[0.9992676,0.0000150816995,0.000067132365,0.000266683,0.00007479896,0.0002445117,0.0000029846494,0.000009112142,0.000052122577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99766433,0.0007812346,0.00030021172,0.00038690813,0.0005250977,0.00034219096],"domain_scores_gemma":[0.99871093,0.00043695082,0.0005041952,0.00023201924,0.00003142599,0.00008448276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019233766,0.000168266,0.0002966528,0.00019246536,0.001217383,0.000013564254,0.00079763256,0.00020624425,0.00081931864],"category_scores_gemma":[0.00007616261,0.00013498862,0.00012345366,0.0011539776,0.00089526625,0.00010837026,0.00032621252,0.0012868904,0.000010576367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028589397,0.0004556624,0.011402297,0.000026483618,0.000085104366,0.0000029351481,0.004782505,0.0011541328,0.9238488,0.001358342,0.00006167866,0.05653618],"study_design_scores_gemma":[0.0005726893,0.00014258723,0.031421557,0.0000069642033,0.000039768944,0.000005082021,0.0010247099,0.0005555638,0.9552402,0.0078050243,0.0030222123,0.00016365407],"about_ca_topic_score_codex":0.0008009063,"about_ca_topic_score_gemma":0.0001915423,"teacher_disagreement_score":0.056372523,"about_ca_system_score_codex":0.00009608311,"about_ca_system_score_gemma":0.0003210169,"threshold_uncertainty_score":0.93632483},"labels":[],"label_agreement":null},{"id":"W4212916452","doi":"10.1007/s42452-022-04965-6","title":"Characterization and optimization of alkali-treated yushania alpina bamboo fiber properties: case study of ethiopia species","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Bamboo properties 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 Calgary","funders":"Amhara Regional Agricultural Research Institute; Bahir Dar University","keywords":"Bamboo; Fiber; Materials science; Response surface methodology; Scanning electron microscope; Composite material; Alkali metal; Characterization (materials science); Volume (thermodynamics); Microstructure; Chemistry; Chromatography; Nanotechnology","score_opus":0.04518948000388952,"score_gpt":0.2212251670728446,"score_spread":0.17603568706895506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212916452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809456,0.00003499495,0.000017307199,0.0001962665,0.000020883133,0.0005881425,0.000040453055,0.000025761188,0.0009816185],"genre_scores_gemma":[0.99924326,0.000010851845,0.00015825631,0.00004230753,0.000023306717,0.00012806561,0.000024806228,0.0000010280656,0.00036812024],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.99896294,0.000060776678,0.00026528345,0.00028918075,0.0002829958,0.00013881728],"domain_scores_gemma":[0.99962276,0.000034965975,0.00018841102,0.00006162686,0.000056675715,0.000035569203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029071447,0.00009865019,0.00016443354,0.000027106422,0.0007024732,0.00004186388,0.00020752448,0.00002722358,0.00048431155],"category_scores_gemma":[0.0000064906426,0.00004149863,0.000021158552,0.0006997956,0.00022884451,0.00009384834,0.00017834755,0.000066593595,0.0000011202108],"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":[0.00003481634,0.00040513388,0.002326482,0.00001443935,0.000011954509,0.000003097181,0.0023775958,0.002702663,0.9817953,0.00076488697,0.000020812588,0.009542807],"study_design_scores_gemma":[0.0030987337,0.013681083,0.1140675,0.00012303413,0.00034022136,0.0005989052,0.5119241,0.044553693,0.27931133,0.00048064705,0.02918669,0.002634083],"about_ca_topic_score_codex":0.0006030913,"about_ca_topic_score_gemma":0.00009848762,"teacher_disagreement_score":0.702484,"about_ca_system_score_codex":0.000011582716,"about_ca_system_score_gemma":0.000011865505,"threshold_uncertainty_score":0.5402927},"labels":[],"label_agreement":null},{"id":"W4220725518","doi":"10.1007/s42452-022-04987-0","title":"Teaching machines to optimizing machining parameters: using independent fuzzy logic controller and image data","year":2022,"lang":"en","type":"article","venue":"SN 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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Computer science; Fuzzy logic; Artificial neural network; Controller (irrigation); Control engineering; Industrial engineering; Mechanical engineering; Artificial intelligence; Engineering","score_opus":0.04387373409956748,"score_gpt":0.2988088521964413,"score_spread":0.25493511809687386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220725518","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":[0.1428681,0.00090111874,0.83894897,0.00034287403,0.00048458987,0.00061788113,0.000075951146,0.00054347987,0.015217054],"genre_scores_gemma":[0.67842114,0.000010394624,0.32120857,0.00024883627,0.000035789657,0.000026000367,0.000014860807,0.000021405893,0.000012990613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998488,0.00004009689,0.00021893355,0.00053015316,0.00035839356,0.00036442588],"domain_scores_gemma":[0.99949056,0.00009832436,0.0000701972,0.00023427562,0.000010727634,0.00009589089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010847563,0.00019605523,0.00022149918,0.00020427474,0.0011586068,0.00024304187,0.00064531714,0.000027625201,0.000020742094],"category_scores_gemma":[0.00005054998,0.00018412674,0.000018113791,0.00036054678,0.00008525473,0.00042015527,0.0007519336,0.00035995618,0.0000022456966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132441155,0.000009385182,0.000064127926,0.000020300009,0.000010906553,0.0000023815269,0.0007571939,0.97538114,0.0069544376,0.0020908278,0.000028769367,0.014667307],"study_design_scores_gemma":[0.0003269092,0.00004368502,0.000020392381,0.00001149939,0.00001867484,0.00002147891,0.0016105963,0.99463516,0.00011878288,0.002466155,0.00043902663,0.00028763132],"about_ca_topic_score_codex":0.000048152255,"about_ca_topic_score_gemma":0.000006793432,"teacher_disagreement_score":0.53555304,"about_ca_system_score_codex":0.000055364944,"about_ca_system_score_gemma":0.000023878058,"threshold_uncertainty_score":0.8911184},"labels":[],"label_agreement":null},{"id":"W4296900799","doi":"10.1007/s42452-022-05158-x","title":"Estimation of the compaction parameters of aggregate base course using artificial neural networks","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Asphalt Pavement Performance Evaluation","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":"Overfitting; Hyperparameter; Compaction; Artificial neural network; Computer science; Artificial intelligence; Machine learning; Mathematics; Statistics; Engineering; Geotechnical engineering","score_opus":0.04764399756186718,"score_gpt":0.281724217591439,"score_spread":0.23408022002957182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296900799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776222,0.00002760183,0.02139857,0.000021647054,0.00048178787,0.00020248868,0.0000032812654,0.00002484147,0.00021759259],"genre_scores_gemma":[0.9986191,8.568261e-7,0.0013288136,0.000013446104,0.000016067192,0.000012347292,0.000004021854,0.0000044370477,9.115271e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991691,0.000028993372,0.00020470451,0.00008617327,0.0003918984,0.000119144504],"domain_scores_gemma":[0.99970335,0.000030789943,0.00013958135,0.00010089081,0.000011298165,0.000014069465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060535927,0.00005821137,0.000080652724,0.000054069576,0.00024059764,0.000012458896,0.00015430272,0.000012867521,0.000030213563],"category_scores_gemma":[0.0000055847363,0.000048375332,0.000025940124,0.00054271467,0.00015727985,0.000116948446,0.00003320777,0.00008600102,5.4078777e-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":[0.000004969625,0.000010860563,0.00030280245,0.000007995382,0.0000035727182,2.686982e-8,0.0001391693,0.97718227,0.012586157,0.00036179076,0.000011800893,0.0093886005],"study_design_scores_gemma":[0.00006393352,0.00002335442,0.0009404055,0.0000053758763,0.000015719063,6.870364e-7,0.00039642467,0.97065973,0.027569752,0.00027576488,0.0000013183543,0.00004754169],"about_ca_topic_score_codex":0.0000105767895,"about_ca_topic_score_gemma":0.000004420714,"teacher_disagreement_score":0.02099691,"about_ca_system_score_codex":0.00005102845,"about_ca_system_score_gemma":0.00002743808,"threshold_uncertainty_score":0.19726887},"labels":[],"label_agreement":null},{"id":"W4306407034","doi":"10.1007/s42452-022-05193-8","title":"5G mobile networks: reviewing security control correctness for mischievous activity","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Information and Cyber Security","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":"École de Technologie Supérieure","funders":"","keywords":"Network Access Control; Computer science; Computer security; Cellular network; Open network architecture; Safeguarding; Telecommunications; Network security; Mobile telephony; Computer network; Risk analysis (engineering); Business; Cloud computing security; Network management station; Network architecture; Mobile radio; Element management system","score_opus":0.013311285600072019,"score_gpt":0.24921266755654944,"score_spread":0.23590138195647742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306407034","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":[0.050192658,0.00085306476,0.89337766,0.0008643944,0.003052559,0.0028651054,0.00003712769,0.0005131453,0.04824428],"genre_scores_gemma":[0.99615204,0.000012639202,0.0013343884,0.0014593737,0.00008101069,0.0009105629,0.0000032566347,0.000004584817,0.000042117492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981707,0.00010453274,0.00026513598,0.00045035567,0.00054291927,0.00046637413],"domain_scores_gemma":[0.9990395,0.00022860727,0.00021796729,0.00036495941,0.000053506108,0.00009551071],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023662767,0.00015518811,0.00025071998,0.00009684512,0.0018522833,0.00030232526,0.0015384969,0.00003434925,0.000060296705],"category_scores_gemma":[0.000024597677,0.00014101667,0.00010365058,0.00095586263,0.00015631475,0.0005610022,0.00027829388,0.00024087128,0.000012992595],"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":[0.00012282036,0.0004477324,0.00025078838,0.00013407134,0.000040304694,0.0000045528664,0.011315195,0.09510245,0.0006517065,0.6718295,0.013613932,0.2064869],"study_design_scores_gemma":[0.0009510292,0.00025363124,0.00011779202,0.000008667018,0.00001006839,0.000019919014,0.00090579846,0.8734495,0.00063975726,0.0064309877,0.11674814,0.0004647251],"about_ca_topic_score_codex":0.000013437989,"about_ca_topic_score_gemma":0.000008687667,"teacher_disagreement_score":0.9459594,"about_ca_system_score_codex":0.00006800876,"about_ca_system_score_gemma":0.00015542784,"threshold_uncertainty_score":0.99944717},"labels":[],"label_agreement":null},{"id":"W4311189583","doi":"10.1007/s42452-022-05224-4","title":"Estimating the potential of spices for mineral provision in a refugee context in East Africa","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Pharmacological Effects of Medicinal Plants","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":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium of International Agricultural Research Centers; FP7 International Cooperation; Deutsche Gesellschaft für Internationale Zusammenarbeit; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung","keywords":"Refugee; Context (archaeology); Micronutrient; Dietary Reference Intake; Geography; Food science; Nutrient; Chemistry; Biology; Archaeology; Ecology","score_opus":0.03726607626455746,"score_gpt":0.32948453213910783,"score_spread":0.29221845587455036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311189583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99402964,0.0001623374,0.00008348289,0.0016997288,0.00014942863,0.0010558525,0.000006761707,0.000010848633,0.0028019461],"genre_scores_gemma":[0.99744827,5.496846e-7,0.0018712652,0.00038119758,0.000057784582,0.00020376666,0.0000028254078,0.0000030686656,0.000031303443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875903,0.000052825384,0.0002426754,0.00022829988,0.0004786879,0.00023847251],"domain_scores_gemma":[0.99949205,0.00026903395,0.000112208094,0.00007161608,0.000013942396,0.000041161522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019339324,0.00007517336,0.00021492832,0.00013482991,0.00014732656,0.0000089354535,0.0002703995,0.000020862351,0.00004688497],"category_scores_gemma":[0.00021639056,0.00004369536,0.000029529934,0.00049324357,0.0002740442,0.00003945543,0.00011087036,0.00019967754,0.0000011751101],"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":[0.003524272,0.0009573027,0.004731716,0.00042009586,0.000020004289,0.00010578623,0.0042423825,0.021294357,0.8264994,0.0032389404,0.0016350388,0.13333069],"study_design_scores_gemma":[0.017445063,0.007424311,0.05538935,0.0005685859,0.00012904264,0.00012128202,0.024812605,0.8704876,0.009396947,0.010588021,0.0030948662,0.0005423748],"about_ca_topic_score_codex":0.00003942019,"about_ca_topic_score_gemma":0.000018153096,"teacher_disagreement_score":0.8491932,"about_ca_system_score_codex":0.000040607174,"about_ca_system_score_gemma":0.00010167622,"threshold_uncertainty_score":0.17818451},"labels":[],"label_agreement":null},{"id":"W4311872468","doi":"10.1007/s42452-022-05228-0","title":"Transient coupled thermo-elasticity analysis of a temperature-dependent thick-walled cylinder under cyclic thermo-mechanical loads","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Numerical methods in engineering","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":"Concordia University","funders":"Concordia University","keywords":"Elasticity (physics); Materials science; Nonlinear system; Mechanics; Boundary value problem; Residual stress; Cylinder; Material properties; Residual; Linear elasticity; Finite element method; Composite material; Structural engineering; Mathematics; Mathematical analysis; Physics; Engineering; Geometry","score_opus":0.01906716169626964,"score_gpt":0.25872431679396946,"score_spread":0.2396571550976998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311872468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78267676,0.00023609826,0.21017149,0.00009049806,0.00062145357,0.00039103357,0.000026879763,0.000381385,0.005404408],"genre_scores_gemma":[0.99361396,0.000015704027,0.006030706,0.00010844428,0.00003980228,0.0001306661,0.0000044726994,0.00003586768,0.00002037317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99728113,0.000110694695,0.0005040881,0.0005141798,0.0010743963,0.0005155251],"domain_scores_gemma":[0.9989535,0.00042905545,0.000082254446,0.0003717675,0.000028940934,0.0001344417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014054504,0.00028668245,0.00060140446,0.00044658635,0.00029484602,0.000047612895,0.0007725002,0.00010399291,0.0007621207],"category_scores_gemma":[0.000037699723,0.00024531176,0.00022049206,0.002991647,0.00021233954,0.00006203375,0.00014292529,0.0005973849,0.000005867388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014759066,0.00005110748,0.000015825864,0.0000121013145,0.00027822104,0.0000018705872,0.00035352918,0.6487633,0.34566155,0.004260856,0.0000048771003,0.0005820316],"study_design_scores_gemma":[0.0006443605,0.00013605057,0.0032546965,0.0000096461845,0.00055490393,0.0000057083766,0.0017727147,0.9551315,0.03523784,0.0025015993,0.0001137643,0.00063725474],"about_ca_topic_score_codex":0.000018262635,"about_ca_topic_score_gemma":0.000015277068,"teacher_disagreement_score":0.3104237,"about_ca_system_score_codex":0.00015303362,"about_ca_system_score_gemma":0.000053124324,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W4323540113","doi":"10.1007/s42452-023-05327-6","title":"Numerical investigation of nanofluid heat transfer in the wall cooling panels of an electric arc steelmaking furnace","year":2023,"lang":"en","type":"article","venue":"SN 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":"Concordia University","funders":"","keywords":"Nanofluid; Coolant; Materials science; Steelmaking; Heat transfer; Thermal; Water cooling; Electric arc furnace; Heat flux; Electric arc; Mechanics; Computational fluid dynamics; Volumetric flow rate; Nuclear engineering; Composite material; Metallurgy; Mechanical engineering; Thermodynamics; Electrode; Engineering; Chemistry","score_opus":0.02865607527713341,"score_gpt":0.24292396979563285,"score_spread":0.21426789451849945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323540113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527407,0.00014554936,0.0023579185,0.00007427326,0.00006705217,0.00022396249,0.000002299421,0.00008297162,0.0017719216],"genre_scores_gemma":[0.9996419,0.0000762857,0.00016572264,0.00004889915,0.000024705556,0.000024845835,0.0000029202474,0.000011262309,0.0000034592042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998719,0.000042191565,0.00033454612,0.00018703587,0.00040973132,0.0003074913],"domain_scores_gemma":[0.99966156,0.00013797212,0.0000057637435,0.00013294356,0.000018327833,0.000043405817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090818614,0.00011546815,0.00020267013,0.0002828322,0.00008186539,0.000023483184,0.00035216205,0.00006166667,0.000012213833],"category_scores_gemma":[0.00000590995,0.0000855819,0.000041301173,0.0023107887,0.0001361993,0.00012700794,0.0000050547346,0.00013756161,0.0000063166126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010159839,0.00001186635,0.0006647655,0.000065060085,0.00000479737,0.0000014289805,0.004021078,0.020617574,0.9670368,0.0066731786,0.000010176884,0.00088312454],"study_design_scores_gemma":[0.0002760511,0.00011611007,0.014265849,0.00004698542,0.000011509425,0.000003384136,0.00062137964,0.077847615,0.9058441,0.00070911366,0.00009325688,0.00016463555],"about_ca_topic_score_codex":0.00007071571,"about_ca_topic_score_gemma":0.000023049897,"teacher_disagreement_score":0.061192684,"about_ca_system_score_codex":0.00001794083,"about_ca_system_score_gemma":0.000050035425,"threshold_uncertainty_score":0.34899288},"labels":[],"label_agreement":null},{"id":"W4363677567","doi":"10.1007/s42452-023-05356-1","title":"Probing the mechanism of action (MOA) of Solanum nigrum Linn against breast cancer using network pharmacology and molecular docking","year":2023,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Cholesterol and Lipid Metabolism","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 Saskatchewan","funders":"Division of Undergraduate Education; Nanjing University; Nanjing University of Chinese Medicine; Government of Jiangsu Province","keywords":"AKT1; Proto-oncogene tyrosine-protein kinase Src; Signal transduction; Docking (animal); Estrogen receptor alpha; Pharmacology; Estrogen receptor; Biology; Protein kinase B; Solanum nigrum; Breast cancer; Cancer research; Cancer; Medicine; Traditional medicine; Biochemistry; Genetics","score_opus":0.03886242962528555,"score_gpt":0.3279242267395811,"score_spread":0.2890617971142956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363677567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973287,0.00022538638,0.0003055896,0.00072705164,0.00052835053,0.00029301393,0.0000043437885,0.000026645537,0.0005609006],"genre_scores_gemma":[0.99883485,0.00015930875,0.00021204526,0.00042909256,0.00032621677,0.000017136446,0.0000013339355,0.00000722786,0.0000128065685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99907523,0.000031153624,0.00019229915,0.00020598949,0.00024874802,0.00024657135],"domain_scores_gemma":[0.9996379,0.000040256004,0.00015322068,0.000086256354,0.000037752943,0.00004462399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069476914,0.00008749597,0.00021432531,0.00010629811,0.0001803526,0.000013836578,0.000107493666,0.0000447942,0.000011155497],"category_scores_gemma":[0.0000044543754,0.000057652283,0.00003379487,0.0007576662,0.00027753916,0.000047065296,0.0000828485,0.00011579172,8.2604896e-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":[0.00003516563,0.000013356051,0.0006711264,0.00006807809,0.000026159814,0.0000014872888,0.0005247135,0.006419902,0.98347336,0.0018048096,0.000061679464,0.0069001517],"study_design_scores_gemma":[0.0026381614,0.00013051092,0.015503692,0.00052408484,0.00051132886,0.000079646925,0.0050570685,0.13383363,0.83570254,0.0041189236,0.0015149451,0.0003854382],"about_ca_topic_score_codex":0.00004464557,"about_ca_topic_score_gemma":0.000009150039,"teacher_disagreement_score":0.1477708,"about_ca_system_score_codex":0.000011458879,"about_ca_system_score_gemma":0.00010218981,"threshold_uncertainty_score":0.23509918},"labels":[],"label_agreement":null},{"id":"W4388797892","doi":"10.1007/s42452-023-05558-7","title":"The first distributed-mass high-performance programmable optoelectromechanical steerable motion-wave sensors focused on sophisticated biomedical applications","year":2023,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Mechanical and Optical Resonators","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":"George Brown College","funders":"","keywords":"Computer science; Transducer; Algorithm; Materials science; Analytical Chemistry (journal); Physics; Acoustics; Chemistry","score_opus":0.017457627354145626,"score_gpt":0.2401627176555255,"score_spread":0.22270509030137986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388797892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6118884,0.00006353581,0.308219,0.028137337,0.001156463,0.006016229,0.0005510445,0.0019010733,0.04206691],"genre_scores_gemma":[0.99785435,0.0000090521835,0.0008375502,0.00005289934,0.0001967455,0.0006846609,0.00010208508,0.000013994135,0.000248658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759346,0.000025806734,0.0003374627,0.0005485449,0.0006844708,0.00081025355],"domain_scores_gemma":[0.99876595,0.00052359636,0.00009411871,0.0003200912,0.00005297371,0.00024327084],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00070878916,0.00020312048,0.0002097191,0.000075844546,0.0016820406,0.0002106979,0.0005400735,0.00007457647,0.00015169753],"category_scores_gemma":[0.000032761876,0.00012748026,0.000068497975,0.0019812442,0.0005186318,0.000058028007,0.0001023547,0.00030200114,0.0006771489],"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":[0.000024285247,0.00013627157,0.00006520271,0.000009198449,0.000025007168,7.736998e-7,0.000009214535,0.0003575914,0.0009834709,0.9536084,0.0007248306,0.044055775],"study_design_scores_gemma":[0.0017016572,0.0010246349,0.00088392885,0.000056653927,0.00008353373,0.0000012890678,0.00042827148,0.29145736,0.04272553,0.4140434,0.24648361,0.0011101471],"about_ca_topic_score_codex":0.000010147628,"about_ca_topic_score_gemma":0.000001360539,"teacher_disagreement_score":0.53956497,"about_ca_system_score_codex":0.000041395895,"about_ca_system_score_gemma":0.00008747411,"threshold_uncertainty_score":0.99961764},"labels":[],"label_agreement":null},{"id":"W4389160231","doi":"10.1007/s42452-023-05608-0","title":"Trends and new practical applications for warehouse allocation and layout design: a literature review","year":2023,"lang":"en","type":"review","venue":"SN Applied Sciences","topic":"Advanced Manufacturing and Logistics Optimization","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":"Spare part; Computer science; Supply chain; Page layout; Warehouse; Process management; Operations research; Operations management; Engineering; Business; Marketing","score_opus":0.1450528857724122,"score_gpt":0.3836853792940302,"score_spread":0.23863249352161797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389160231","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":[1.7952344e-9,0.57823133,0.42061362,0.00006552968,0.000030411591,0.00064438937,0.000016030199,0.00015919407,0.00023948152],"genre_scores_gemma":[0.0000015961427,0.89101046,0.10767812,0.00002999806,0.00010529467,0.00080081593,0.000109643726,0.000032719756,0.00023135183],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990204,0.000016830683,0.00027306096,0.00037981552,0.000119828255,0.00019004318],"domain_scores_gemma":[0.9992447,0.00038002286,0.00009969831,0.00016112327,0.000019115285,0.00009535001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034399846,0.00023326401,0.0004949244,0.00019072264,0.00016251716,0.00014193902,0.00012454523,0.0001391006,0.0000022328902],"category_scores_gemma":[0.00007443803,0.00018357804,0.000045495246,0.0006912321,0.00009766131,0.00009530112,0.000032306598,0.00016632024,0.0000061341375],"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":[7.093186e-7,0.0000038821618,8.782748e-9,0.018473413,0.00001568845,3.9860942e-7,0.00003781349,0.008249965,1.5828384e-7,0.0061930465,0.0027329088,0.964292],"study_design_scores_gemma":[0.00006981226,0.0000223778,1.5054633e-7,0.0068218936,0.00029961433,0.00001843995,0.000007561577,0.0038891805,0.000001736825,0.0025412503,0.9860238,0.0003041825],"about_ca_topic_score_codex":4.4075924e-7,"about_ca_topic_score_gemma":0.0000013314296,"teacher_disagreement_score":0.9832909,"about_ca_system_score_codex":0.000025686302,"about_ca_system_score_gemma":0.00007257035,"threshold_uncertainty_score":0.74860954},"labels":[],"label_agreement":null},{"id":"W4389895285","doi":"10.1007/s42452-023-05615-1","title":"Correction to: The first distributed-mass high-performance programmable optoelectromechanical steerable motion-wave sensors focused on sophisticated biomedical applications","year":2023,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"George Brown College","funders":"","keywords":"Computer science; Motion (physics); Artificial intelligence","score_opus":0.02410269949427179,"score_gpt":0.2828560042581374,"score_spread":0.2587533047638656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389895285","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":[0.19240797,0.000042056603,0.70798445,0.053869553,0.0072482084,0.0062645916,0.00012010489,0.0047188695,0.02734423],"genre_scores_gemma":[0.99534154,0.00001925326,0.0027364802,0.00016380235,0.0005025666,0.00046096457,0.000040246272,0.000011992816,0.00072317955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974252,0.00006391986,0.000257606,0.0005774046,0.0008893116,0.0007865812],"domain_scores_gemma":[0.9988523,0.0005044069,0.000104474464,0.00025571068,0.000084905405,0.00019818936],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015076788,0.00016037576,0.00017046297,0.00016063906,0.0040478953,0.00022479826,0.00058336736,0.00008405371,0.00003210413],"category_scores_gemma":[0.00019571742,0.000118789525,0.000041353615,0.004714185,0.0006732415,0.00008783976,0.0000716778,0.00027663045,0.0004783821],"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":[0.00009385377,0.00051823875,0.00017196148,0.000036168996,0.000058309597,0.000007614053,0.0029194755,0.12719223,0.0023549348,0.31786498,0.035113007,0.5136692],"study_design_scores_gemma":[0.0008001512,0.00097091304,0.0011371487,0.0001004047,0.000044299482,0.0000043431196,0.0040754294,0.4376558,0.005769535,0.025042215,0.52343124,0.0009685279],"about_ca_topic_score_codex":0.00010090489,"about_ca_topic_score_gemma":0.00008588449,"teacher_disagreement_score":0.8029336,"about_ca_system_score_codex":0.00016806905,"about_ca_system_score_gemma":0.00017168897,"threshold_uncertainty_score":0.9972487},"labels":[],"label_agreement":null}]}