{"meta":{"query_hash":"14dbf0478c50","filters":{"venue":"Cogent Engineering"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"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/14dbf0478c50","api":"https://metacan.xera.ac/api/v1/cohort?venue=Cogent+Engineering"},"results":[{"id":"W2032553574","doi":"10.1080/23311916.2015.1030829","title":"QNP_SHELL: A computerized tool for improving decision-making skills for nuclear power plant operators","year":2015,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Task (project management); Nuclear power plant; Operator (biology); Expert system; Nuclear power; Shell (structure); Computer science; Risk analysis (engineering); Artificial intelligence; Engineering; Systems engineering; Business; Mechanical engineering","score_opus":0.02975335937277716,"score_gpt":0.305276770684982,"score_spread":0.2755234113122048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032553574","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":[0.20877421,0.00017497408,0.78928864,0.000096981516,0.0009897841,0.00044271268,0.000078644975,0.00010216599,0.000051882802],"genre_scores_gemma":[0.8640322,0.000009279355,0.13551326,0.00013252329,0.00015886723,0.000034727673,0.0000095563355,0.00004518323,0.000064367545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977021,0.000023273058,0.0006997401,0.00051277207,0.0006584741,0.00040364047],"domain_scores_gemma":[0.9972624,0.0015796279,0.00013768209,0.00048487267,0.0003455391,0.0001898814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018396619,0.00021960758,0.0004504959,0.00030340767,0.00017322639,0.00039769345,0.0006658558,0.000096521115,0.000047293124],"category_scores_gemma":[0.003876539,0.00017573989,0.0003398448,0.0004173547,0.00001693046,0.00030153134,0.00018167362,0.000084856685,0.000060442086],"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":[0.0008428845,0.00024548642,0.0006610314,0.00006285833,0.00040160868,0.000046245314,0.0045971833,0.31712368,0.008825858,0.008136763,0.018338101,0.6407183],"study_design_scores_gemma":[0.0013484595,0.00015151677,0.00023640372,0.00007609343,0.00006345039,0.000014937338,0.00040052464,0.8373731,0.0002815388,0.0015833908,0.15804937,0.00042122224],"about_ca_topic_score_codex":0.000002435833,"about_ca_topic_score_gemma":0.0000017414844,"teacher_disagreement_score":0.65525806,"about_ca_system_score_codex":0.000090893,"about_ca_system_score_gemma":0.000057185178,"threshold_uncertainty_score":0.71664643},"labels":[],"label_agreement":null},{"id":"W2049156922","doi":"10.1080/23311916.2014.1001015","title":"Effects of deleting cannabinoid receptor-2 on mechanical and material properties of cortical and trabecular bone","year":2015,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cortical bone; Bone mineral; Stiffness; Biomechanics; Chemistry; Materials science; Internal medicine; Anatomy; Osteoporosis; Medicine; Composite material","score_opus":0.01408040928554721,"score_gpt":0.22711395535059134,"score_spread":0.21303354606504413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049156922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977972,0.0012946933,0.00008902424,0.0003689949,0.00010988992,0.0003034171,0.0000032001137,0.000020131456,0.000013465698],"genre_scores_gemma":[0.99950767,0.0000648231,0.00021361728,0.000016999522,0.00007023076,0.000025629377,0.0000022428953,0.000019857278,0.00007891352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991643,0.000023112048,0.00021076041,0.00015066397,0.00026686993,0.00018429899],"domain_scores_gemma":[0.9995536,0.000009087338,0.000029165123,0.00009665392,0.00009408437,0.00021741689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024206607,0.000106305946,0.0002925983,0.00007701575,0.000014298704,0.000008338759,0.000029827153,0.00006565467,0.0000059456347],"category_scores_gemma":[0.0004394689,0.00008536205,0.000034016797,0.000068899506,0.00005859006,0.000020631953,0.00005331852,0.00012225048,5.705792e-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":[0.00031728638,0.000062258165,0.00007067072,0.0012338436,0.000032225955,0.000020243382,0.00014453538,0.000032491043,0.99649847,0.0002452637,0.00036434593,0.000978365],"study_design_scores_gemma":[0.0011718328,0.00073483906,0.0011795195,0.00042018646,0.000047523947,0.000041743566,0.0000734332,0.0020252194,0.993004,0.000002610726,0.0012097545,0.00008929951],"about_ca_topic_score_codex":0.000029691375,"about_ca_topic_score_gemma":5.0747605e-7,"teacher_disagreement_score":0.0034944334,"about_ca_system_score_codex":0.00003531857,"about_ca_system_score_gemma":0.00005421849,"threshold_uncertainty_score":0.34809634},"labels":[],"label_agreement":null},{"id":"W2563131644","doi":"10.1080/23311916.2017.1360236","title":"Stability assessment of homogeneous slopes loaded with mobile tracked cranes—An artificial neural network approach","year":2017,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial neural network; Homogeneous; Computer science; Stability (learning theory); Engineering; Environmental science; Artificial intelligence; Machine learning; Mathematics","score_opus":0.018013079343370954,"score_gpt":0.23097685381103494,"score_spread":0.21296377446766399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563131644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.699965,0.00022810133,0.2986862,0.0000062472477,0.00019431775,0.00024545955,0.00001398271,0.00047680715,0.00018388903],"genre_scores_gemma":[0.98640925,0.000018139082,0.013153956,0.0000022587756,0.00020045518,0.00010591003,0.000028031165,0.00007337943,0.000008621284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845433,0.000015939355,0.00041381427,0.0003345207,0.00029525967,0.00048616008],"domain_scores_gemma":[0.99867696,0.000038589493,0.000078022,0.0009485283,0.00006394234,0.00019394021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002672225,0.00033063506,0.0005003196,0.0000780865,0.00014170585,0.000105968575,0.0004757531,0.00012629255,0.000028580956],"category_scores_gemma":[0.000028558365,0.00030686398,0.00014916426,0.00017400096,0.00006208527,0.00018312114,0.00005660872,0.00031377707,0.0000018450986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007084698,0.00008809296,0.00027539438,0.00018827035,0.00011693487,0.000010716027,0.00005501905,0.966707,0.029642658,0.000075011325,0.000005556404,0.0028282576],"study_design_scores_gemma":[0.0002572778,0.000104436454,0.0029916402,0.00004177217,0.00010076311,0.000012498068,0.00004150561,0.98503876,0.010804933,0.0000064688643,0.0002234313,0.0003764914],"about_ca_topic_score_codex":0.000019919287,"about_ca_topic_score_gemma":0.000005498471,"teacher_disagreement_score":0.28644428,"about_ca_system_score_codex":0.0000659262,"about_ca_system_score_gemma":0.000019280467,"threshold_uncertainty_score":0.99993837},"labels":[],"label_agreement":null},{"id":"W2771613668","doi":"10.1080/23311916.2017.1412106","title":"Force calculation using analytical and CAE methods for thin-blade slotting process","year":2017,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; RGL Reservoir Management; University of Alberta","keywords":"Blade (archaeology); Process (computing); Machining; Finite element method; Structural engineering; Vibration; Mechanical engineering; Engineering; Stability (learning theory); Deformation (meteorology); Diagram; Computer science; Materials science; Acoustics","score_opus":0.036962655044410764,"score_gpt":0.3502134221049769,"score_spread":0.31325076706056615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771613668","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":[0.20242842,0.00048150294,0.79625016,0.000014248311,0.0004149917,0.00014685173,0.0000031134173,0.0002181185,0.000042602413],"genre_scores_gemma":[0.91775435,0.000021221578,0.08191715,0.00000565855,0.00019259905,0.000015494845,0.0000037282744,0.00005654594,0.00003321635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927855,0.0000062105883,0.00018690518,0.00017708924,0.00007386511,0.0002774122],"domain_scores_gemma":[0.9995324,0.00007104664,0.000038621405,0.00021655961,0.000044918546,0.00009644804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000310235,0.00016025157,0.00018281087,0.0000676205,0.00026531235,0.00009803707,0.00012738373,0.00009842386,0.0000013156176],"category_scores_gemma":[0.00028952863,0.00016658456,0.000054093933,0.000034410554,0.000007522433,0.00014927676,0.000039999737,0.00012301163,5.641855e-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":[0.0000027845895,0.0000030215267,0.000059863363,0.00032365244,0.000044624885,0.0000013516272,0.00028399887,0.9498434,0.04271686,0.00054403744,0.0000056846898,0.006170715],"study_design_scores_gemma":[0.00021611781,0.000008001432,0.00010422217,0.000104487386,0.000055965807,0.000012034224,0.000025146534,0.9739012,0.024842873,0.00012351468,0.0004038975,0.00020254086],"about_ca_topic_score_codex":0.0000037615887,"about_ca_topic_score_gemma":8.5996857e-7,"teacher_disagreement_score":0.71532595,"about_ca_system_score_codex":0.000048389233,"about_ca_system_score_gemma":0.00000954619,"threshold_uncertainty_score":0.6793121},"labels":[],"label_agreement":null},{"id":"W2797133209","doi":"10.1080/23311916.2018.1463594","title":"Evaluation of testing methods for tracking CIPP liners’ life-cycle performance","year":2018,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Quality assurance; Suite; Visual inspection; Engineering; Computer science; Forensic engineering; Construction engineering; Operations management; Artificial intelligence","score_opus":0.05609974439959989,"score_gpt":0.31588744535235114,"score_spread":0.2597877009527513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797133209","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":[0.31178606,0.00086747296,0.6853655,0.000006465966,0.0007367338,0.0002490758,0.000003499552,0.00043502255,0.0005501765],"genre_scores_gemma":[0.8783652,0.000012390531,0.12118462,0.0000053099748,0.0003094103,0.000058496815,0.000004360401,0.000053815067,0.000006379883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887234,0.000017905293,0.00034513776,0.00017946481,0.0002605372,0.00032459522],"domain_scores_gemma":[0.9990319,0.00021745433,0.000040551124,0.00022985802,0.00038242247,0.000097791904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011780105,0.00020157643,0.00023364498,0.00014159358,0.000055172222,0.000023290502,0.00016573309,0.000112366404,0.000023127583],"category_scores_gemma":[0.0013296407,0.00021336415,0.000077234356,0.0003106015,0.000024327073,0.00011562749,0.000023841845,0.00014386387,0.0000026928842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022736472,0.0000046542777,0.00001535939,0.00016641074,0.00005261364,5.639916e-8,0.000065999695,0.819981,0.06426677,0.000077009805,0.000021788588,0.11534606],"study_design_scores_gemma":[0.00034357363,0.00008391179,0.0014115304,0.00010415185,0.00010686906,0.0000044722237,0.000012183032,0.9547535,0.041796684,0.00013047802,0.0010283566,0.00022429287],"about_ca_topic_score_codex":0.000002426502,"about_ca_topic_score_gemma":5.963621e-7,"teacher_disagreement_score":0.56657916,"about_ca_system_score_codex":0.000090648326,"about_ca_system_score_gemma":0.000034781035,"threshold_uncertainty_score":0.8700738},"labels":[],"label_agreement":null},{"id":"W2921029761","doi":"10.1080/23311916.2019.1594509","title":"An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study","year":2019,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple-criteria decision analysis; Quality function deployment; Analytic hierarchy process; Computer science; Software; Fuzzy logic; Operations research; Selection (genetic algorithm); Risk analysis (engineering); Systems engineering; Engineering; Operations management; Artificial intelligence","score_opus":0.08528527682348491,"score_gpt":0.32620404430560035,"score_spread":0.24091876748211544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921029761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8417412,0.00003259083,0.15483008,0.00010344611,0.0019278311,0.0007525748,0.000001277182,0.00057511864,0.000035869376],"genre_scores_gemma":[0.99012387,0.0000031304442,0.00838598,0.00034095318,0.00087317685,0.00011789871,0.000023536608,0.000063509324,0.000067920126],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845326,0.00009093076,0.00036912796,0.00057943014,0.00022170175,0.0002855274],"domain_scores_gemma":[0.9990477,0.00036703382,0.000118217074,0.00027162425,0.00016363745,0.000031811553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010752209,0.0002645393,0.00026767043,0.00049016805,0.00023466222,0.00028963757,0.00010608352,0.000092027876,0.00017270763],"category_scores_gemma":[0.0010724833,0.00023813547,0.000047875914,0.0005606813,0.0000105642475,0.00088074495,0.000072871604,0.00021373358,0.000054814293],"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":[0.0011722422,0.0049066725,0.40024617,0.0013606339,0.0012859117,0.0010526289,0.009219202,0.1796064,0.17537932,0.016288996,0.0167594,0.19272244],"study_design_scores_gemma":[0.006233224,0.002494637,0.017709745,0.0007792084,0.0006348971,0.003054271,0.03365998,0.8661885,0.004579086,0.0013506219,0.05966885,0.0036469288],"about_ca_topic_score_codex":0.00021958449,"about_ca_topic_score_gemma":0.000057560144,"teacher_disagreement_score":0.68658215,"about_ca_system_score_codex":0.00009118147,"about_ca_system_score_gemma":0.000014952161,"threshold_uncertainty_score":0.97108823},"labels":[],"label_agreement":null},{"id":"W3002784884","doi":"10.1080/23311916.2020.1719572","title":"Perceptions of senior citizens on the use and desired features of a wristband for maintaining, strengthening, and regaining hand and finger function","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"AGE-WELL","keywords":"Perception; Function (biology); Compliance (psychology); Physical medicine and rehabilitation; Quality of life (healthcare); Point (geometry); Population; Engineering; Applied psychology; Physical therapy; Psychology; Medicine; Nursing; Social psychology; Environmental health","score_opus":0.03711597302438493,"score_gpt":0.24983265368036156,"score_spread":0.21271668065597663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002784884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171406,0.0005097743,0.0071945307,0.00020507697,0.00005817958,0.00020660755,0.000024580562,0.00001417294,0.00007301573],"genre_scores_gemma":[0.9991403,0.00006611846,0.0005904354,0.00008050931,0.00003088563,0.00002391507,0.0000066404355,0.000017250415,0.000043931846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99954295,0.000014328797,0.00013369852,0.00016134884,0.000036753372,0.00011094586],"domain_scores_gemma":[0.999558,0.00023478556,0.000053327134,0.000080665195,0.000022705988,0.000050535844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083890605,0.000096604694,0.00013518982,0.000042816875,0.00006065926,0.000025433179,0.000028925504,0.000046835874,0.000013107663],"category_scores_gemma":[0.00013019776,0.00008020047,0.00003655177,0.000042237963,0.00006039224,0.000028745855,0.000023874543,0.00007341049,1.374909e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030986958,0.00029072518,0.06623595,0.0016980444,0.002608514,0.000011652378,0.12705234,0.016038695,0.46223184,0.20081021,0.0071802936,0.11274304],"study_design_scores_gemma":[0.006511217,0.0030976592,0.9027961,0.0006098912,0.00061468047,0.000028981935,0.020258155,0.049752977,0.0030807846,0.00043379844,0.011888791,0.0009269699],"about_ca_topic_score_codex":0.0000104997,"about_ca_topic_score_gemma":0.00000431162,"teacher_disagreement_score":0.83656013,"about_ca_system_score_codex":0.0000043493565,"about_ca_system_score_gemma":0.0000043793566,"threshold_uncertainty_score":0.32704803},"labels":[],"label_agreement":null},{"id":"W3006351840","doi":"10.1080/23311916.2020.1724849","title":"Modeling and forecasting complex patterns of mineral production. Gold mining in Canada","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Gold mining; Environmental science; Mining industry; Mining engineering; Natural resource economics; Business; Engineering; Economics; Materials science; Metallurgy","score_opus":0.04277225734202499,"score_gpt":0.22113959588269355,"score_spread":0.17836733854066855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006351840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982464,0.00012236019,0.0010742752,0.00029380032,0.000053248637,0.00006430751,0.0000032065416,0.00001706146,0.0001253656],"genre_scores_gemma":[0.9993107,0.000006205265,0.0005536499,0.000028735452,0.00005662488,0.0000074001473,0.0000065991053,0.000011542821,0.000018584342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992104,0.000014348697,0.0002243901,0.000174939,0.00014291663,0.00023297053],"domain_scores_gemma":[0.99973786,0.000027344542,0.000016316202,0.000077048644,0.000051921284,0.00008952435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008313636,0.0000871789,0.00015417587,0.000039701503,0.000015240839,0.000007285368,0.000072643576,0.000021347125,0.000010273913],"category_scores_gemma":[0.00032475853,0.00009495307,0.000018034802,0.00015465017,0.0000053890585,0.000050483355,0.000066896224,0.00008871267,1.037225e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011357587,0.0000049205682,0.014939511,0.00021674753,0.000010038755,0.000014388261,0.00025045688,0.9779711,0.0031259682,0.00039923086,0.000007547391,0.003048741],"study_design_scores_gemma":[0.00019011756,0.0000114511695,0.0022731684,0.00003918706,0.0000023708171,0.0000037925538,0.00083854096,0.99584556,0.00042796033,0.000008761974,0.0002656848,0.000093437244],"about_ca_topic_score_codex":0.5102599,"about_ca_topic_score_gemma":0.40848562,"teacher_disagreement_score":0.10177432,"about_ca_system_score_codex":0.00015274354,"about_ca_system_score_gemma":0.00010717464,"threshold_uncertainty_score":0.602308},"labels":[],"label_agreement":null},{"id":"W3030275433","doi":"10.1080/23311916.2020.1769287","title":"Finite element mesh improvement using an a priori local p-refinement for stress analysis of underground excavations","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Numerical methods in engineering","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadrilateral; Finite element method; Discretization; Interpolation (computer graphics); Node (physics); Stiffness matrix; Quadratic equation; Computer science; Applied mathematics; Mathematics; Algorithm; Geometry; Structural engineering; Mathematical analysis; Engineering","score_opus":0.04572914538702346,"score_gpt":0.2858692501848032,"score_spread":0.24014010479777972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030275433","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":[0.07793074,0.00021932897,0.9205736,0.00002902704,0.0003096062,0.00045668444,0.00013103307,0.00033032385,0.00001963963],"genre_scores_gemma":[0.8449847,0.000031808962,0.1545372,0.00003679185,0.0001317413,0.00011068033,0.00007773362,0.000086270884,0.0000030816532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982134,0.000013488143,0.0006733939,0.00034244434,0.00030065558,0.00045660263],"domain_scores_gemma":[0.9990681,0.00017342615,0.000078402765,0.00033949222,0.00008513674,0.00025546493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019836662,0.00032893478,0.00053295324,0.0003321041,0.00004469197,0.00003417793,0.00025660047,0.00008069727,0.000039480095],"category_scores_gemma":[0.00010609567,0.00037766507,0.00022798106,0.0011473438,0.000019727679,0.000154632,0.00007215093,0.0001545412,8.4835364e-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":[0.0000074323825,0.000045119767,0.000097817305,0.00035497968,0.001121307,0.0000015363833,0.00026889783,0.92369187,0.06751118,0.0005517622,0.000008516235,0.0063396017],"study_design_scores_gemma":[0.00037494933,0.00014398803,0.00017399744,0.000042008807,0.00073833734,2.669403e-7,0.00023542743,0.9622232,0.034700554,0.0000127428375,0.0009948517,0.00035971013],"about_ca_topic_score_codex":0.000013528151,"about_ca_topic_score_gemma":0.0000066479706,"teacher_disagreement_score":0.76705396,"about_ca_system_score_codex":0.00027113018,"about_ca_system_score_gemma":0.000021284166,"threshold_uncertainty_score":0.9998675},"labels":[],"label_agreement":null},{"id":"W3034583734","doi":"10.1080/23311916.2020.1770914","title":"Effect of curing methods on the strength of interlocking paving blocks","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Curing (chemistry); Ponding; Compressive strength; Interlocking; Materials science; Composite material; Structural engineering; Engineering","score_opus":0.01894225332773551,"score_gpt":0.28268140180909235,"score_spread":0.2637391484813568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034583734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9136504,0.00034588727,0.084979564,0.000027672679,0.00026995662,0.00025475846,0.0000026655407,0.0001653355,0.00030373808],"genre_scores_gemma":[0.99765104,0.000026392803,0.0021518588,0.000011416403,0.00009238133,0.000024412197,0.0000027011793,0.00003707097,0.0000027521505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908894,0.00004753277,0.00034272988,0.0001224014,0.00021267282,0.00018569424],"domain_scores_gemma":[0.9992472,0.00042652135,0.000065866385,0.00018674573,0.000024173933,0.000049518545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067056296,0.0001755403,0.00024695278,0.000077473,0.00002161889,0.000008739787,0.00019729731,0.00004231235,0.000060912753],"category_scores_gemma":[0.0002557162,0.00013990798,0.00008598283,0.00023665506,0.000011970023,0.00007680719,0.0000532669,0.00019354706,0.000004024245],"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":[0.000011438611,0.0000055087125,0.0005298034,0.00060077,0.00009304207,6.8020734e-7,0.000820578,0.7139378,0.25487688,0.000089461544,0.00003387517,0.029000113],"study_design_scores_gemma":[0.00012500862,0.00011104633,0.00008410094,0.00015850416,0.000023597711,2.90284e-7,0.000024691959,0.49679676,0.50244635,6.774543e-7,0.00016197497,0.00006698305],"about_ca_topic_score_codex":9.055198e-7,"about_ca_topic_score_gemma":9.850047e-8,"teacher_disagreement_score":0.24756949,"about_ca_system_score_codex":0.00004644107,"about_ca_system_score_gemma":0.000005275849,"threshold_uncertainty_score":0.57052815},"labels":[],"label_agreement":null},{"id":"W3037049230","doi":"10.1080/23311916.2020.1771818","title":"Evaluation of the influence parameters of Industry 4.0 and their impact on the Quebec manufacturing SMEs: The first findings","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Context (archaeology); Globalization; Digital transformation; Business; Manufacturing; Competition (biology); Industrial organization; Marketing; Industry 4.0; Economic shortage; The Internet; Business model; Engineering; Computer science; Economics; Market economy","score_opus":0.027871629939237298,"score_gpt":0.22156109731965093,"score_spread":0.19368946738041362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037049230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983305,0.0000983933,0.00026606309,0.00046763706,0.00009335447,0.00032599404,0.000022004126,0.00005144476,0.00034463673],"genre_scores_gemma":[0.99985135,0.00000884398,0.000009544684,0.00006289933,0.000018260413,0.00002691894,9.714369e-7,0.000019354624,0.000001850283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918234,0.000018674293,0.0002469646,0.00008630834,0.00032105803,0.00014466375],"domain_scores_gemma":[0.9994172,0.00023146678,0.00004460135,0.00022252346,0.000042559208,0.00004168136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034819054,0.000165761,0.00012716574,0.000032629418,0.000046400935,0.000039637387,0.00028369506,0.0000974024,0.000016422584],"category_scores_gemma":[0.00015255339,0.000080507736,0.0000792239,0.00017958981,0.00005396359,0.00016284052,0.000038018166,0.00040351562,0.000001756022],"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":[0.0000024940061,0.0000031248828,0.00053708616,0.00007669103,0.000082778475,7.509219e-8,0.001655893,0.99435216,0.0014283234,0.00006747571,0.00007768649,0.0017162059],"study_design_scores_gemma":[0.00042092137,0.000050931765,0.09503357,0.000608614,0.00010531225,0.0000067814453,0.0015657902,0.44752872,0.45367268,0.000067092355,0.00064485794,0.0002947186],"about_ca_topic_score_codex":0.00003197566,"about_ca_topic_score_gemma":0.000006202859,"teacher_disagreement_score":0.54682344,"about_ca_system_score_codex":0.00008491788,"about_ca_system_score_gemma":0.000026649266,"threshold_uncertainty_score":0.32830104},"labels":[],"label_agreement":null},{"id":"W3039692132","doi":"10.1080/23311916.2020.1788308","title":"Framework for examination of software quality characteristics in conflict: A security and usability exemplar","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Usability; Computer science; Quality (philosophy); USable; Software quality; Context (archaeology); Software engineering; Identification (biology); Software security assurance; Software; Process management; Computer security; Software development; Engineering; Human–computer interaction; Information security; World Wide Web; Security service","score_opus":0.08540782878199857,"score_gpt":0.32680040966806556,"score_spread":0.241392580886067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039692132","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":[0.22391452,0.00019278002,0.77529764,0.000063361374,0.00012584975,0.00019611027,0.000016166123,0.00019294658,6.1216053e-7],"genre_scores_gemma":[0.5161461,0.000017185097,0.48376206,0.000021535732,0.000021191918,0.00002211473,0.0000024704366,0.000007056029,2.734921e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990039,0.00005103901,0.00034187763,0.00029691192,0.000120732315,0.00018557749],"domain_scores_gemma":[0.99785006,0.0016799812,0.00008676852,0.00024052896,0.00006591503,0.000076740645],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006067344,0.00013178599,0.00030055092,0.000052282005,0.00001743341,0.000020216772,0.00025815231,0.0000883888,8.730306e-7],"category_scores_gemma":[0.009024547,0.00014991834,0.000038283786,0.00022793547,0.00002446825,0.00018773283,0.00015124853,0.00015763326,2.936082e-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":[0.0001687586,0.00038067257,0.06304175,0.015101708,0.00018123303,0.000038496448,0.06472817,0.2400524,0.051751945,0.2812874,0.000023198929,0.28324425],"study_design_scores_gemma":[0.0013574095,0.00039621568,0.4657988,0.0004992787,0.000024997182,0.000008650602,0.00026787608,0.47312385,0.035687186,0.020212447,0.0013565979,0.0012667202],"about_ca_topic_score_codex":0.0000016179728,"about_ca_topic_score_gemma":2.7663782e-7,"teacher_disagreement_score":0.40275705,"about_ca_system_score_codex":0.000038754788,"about_ca_system_score_gemma":0.000014646735,"threshold_uncertainty_score":0.99932283},"labels":[],"label_agreement":null},{"id":"W3046074420","doi":"10.1080/23311916.2020.1795051","title":"Towards the investigation on the effect of the forearm rotation on the wrist FMG signal pattern using a high-density FMG sensing matrix","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wrist; Forearm; Gesture; Computer science; Rotation (mathematics); Orientation (vector space); SIGNAL (programming language); Position (finance); Artificial intelligence; Medicine; Anatomy; Mathematics; Geometry","score_opus":0.02232775916141319,"score_gpt":0.20002219180826153,"score_spread":0.17769443264684834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046074420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743017,0.00007157417,0.022096135,0.0026234922,0.00021263563,0.00050646474,0.0000051740585,0.00012360235,0.00005923332],"genre_scores_gemma":[0.99942607,0.000008918415,0.0000455795,0.00030371442,0.00016275162,0.000016155625,0.0000031242835,0.000031934374,0.0000017691661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907243,0.00009313336,0.00019955063,0.00013858463,0.0002967581,0.00019953353],"domain_scores_gemma":[0.9992048,0.0004279844,0.000067032845,0.00022884307,0.000035841604,0.00003546055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028465467,0.00020350321,0.00015863935,0.000041284704,0.00023938245,0.000050139668,0.00018087667,0.000043090196,0.00000831442],"category_scores_gemma":[0.00014965617,0.00009899703,0.00012609578,0.00041283795,0.000045053264,0.000046285975,0.000044784763,0.00030603143,0.0000019393692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003226794,0.000007134255,0.0016386134,0.00021460665,0.00034826976,0.0000020844852,0.0025287769,0.76753044,0.20656277,0.0008818091,0.00077562965,0.01947758],"study_design_scores_gemma":[0.00021419361,0.00010730856,0.020819476,0.000159604,0.00007275571,0.000002680689,0.00014657885,0.5641923,0.41390342,0.000041349813,0.00017306076,0.00016730049],"about_ca_topic_score_codex":0.000051722596,"about_ca_topic_score_gemma":0.000004759037,"teacher_disagreement_score":0.20734064,"about_ca_system_score_codex":0.00006885708,"about_ca_system_score_gemma":0.0000090870835,"threshold_uncertainty_score":0.40369818},"labels":[],"label_agreement":null},{"id":"W3094545710","doi":"10.1080/23311916.2020.1829805","title":"Industry and academia partnership for aquatic renewable energy development in Colombia: A knowledge-education transfer model from the United Kingdom to Colombia","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","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":"Olds College","funders":"","keywords":"General partnership; Context (archaeology); Stakeholder; Curriculum; Knowledge transfer; Teamwork; Renewable energy; Knowledge management; Business; Engineering; Political science; Public relations; Sociology; Management; Computer science; Geography; Pedagogy; Economics","score_opus":0.0684298696367615,"score_gpt":0.24434070024692378,"score_spread":0.17591083061016227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094545710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917201,0.000031673262,0.078644015,0.0031938234,0.00007585209,0.0004111781,0.000003522487,0.000079303885,0.0003596269],"genre_scores_gemma":[0.9935921,0.0000019177078,0.0006915022,0.0050573475,0.00023153593,0.00009916646,0.00007954706,0.000030032046,0.00021685529],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990269,0.0000074393797,0.0002641236,0.00028145965,0.00017170524,0.00024835853],"domain_scores_gemma":[0.99964833,0.0000832104,0.00004842036,0.000103586826,0.00007201593,0.000044407087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018662658,0.00017888487,0.00016287474,0.00017490963,0.000106476284,0.00010775408,0.00022261821,0.00046976027,0.000019757312],"category_scores_gemma":[0.00013667079,0.0001855801,0.000023128041,0.0009220336,0.00001140267,0.0003207542,0.000108430446,0.0005591019,0.0000054738025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015929033,0.00017212027,0.020253237,0.0002441975,0.00012561554,0.0000026191485,0.0028053876,0.90731287,0.008052314,0.021943415,0.037025567,0.0019033831],"study_design_scores_gemma":[0.00076513115,0.0000070469096,0.00186041,0.00014293371,0.000046765126,1.452406e-7,0.00039348777,0.8013704,0.001214059,0.00013073916,0.19378728,0.00028160322],"about_ca_topic_score_codex":0.00034594358,"about_ca_topic_score_gemma":0.00014017454,"teacher_disagreement_score":0.1567617,"about_ca_system_score_codex":0.0001842499,"about_ca_system_score_gemma":0.0001245728,"threshold_uncertainty_score":0.75677365},"labels":[],"label_agreement":null},{"id":"W3099345050","doi":"10.1080/23311916.2020.1799909","title":"Self-healing of structural carbon fibres in polymer composites","year":2020,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Self-healing; Materials science; Composite material; Reinforced carbon–carbon; Delamination (geology); Carbon fibers; Epoxy; Polymer; Structural material; Composite number; Geology","score_opus":0.010022898091144082,"score_gpt":0.20882506098110667,"score_spread":0.19880216288996258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099345050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896338,0.008701457,0.0008594786,0.00017777727,0.0002940469,0.00009182603,0.0000110234505,0.00015673142,0.00007383976],"genre_scores_gemma":[0.9946665,0.0000124503385,0.005108177,0.00005867735,0.00012249686,0.0000040579657,0.0000040850355,0.00002172827,0.0000018144742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989244,0.000021867487,0.00033894088,0.00022814424,0.0001769556,0.00030972972],"domain_scores_gemma":[0.99957424,0.000087787565,0.00006392616,0.00013210691,0.000019925841,0.00012202263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007775365,0.00015605018,0.0002723137,0.00007536175,0.000031322405,0.000030165562,0.00020843734,0.00004873845,0.000031919204],"category_scores_gemma":[0.000025657297,0.0001570425,0.000052072457,0.00020580394,0.000015256995,0.00008825061,0.00009227979,0.00010264633,0.000004078386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014434123,0.000007766106,0.0028991057,0.00020762437,0.000008306168,0.000008096457,0.0010541588,0.02419412,0.9712927,0.00023305794,0.00000190896,0.00007877217],"study_design_scores_gemma":[0.0001581387,0.000033183158,0.00056760135,0.00005241461,0.000009542048,0.0000038532303,0.000028516231,0.31748238,0.68148464,0.0000035390651,0.000047324007,0.00012885204],"about_ca_topic_score_codex":0.00013653534,"about_ca_topic_score_gemma":0.0000026558575,"teacher_disagreement_score":0.29328826,"about_ca_system_score_codex":0.000033349355,"about_ca_system_score_gemma":0.000022064776,"threshold_uncertainty_score":0.6404007},"labels":[],"label_agreement":null},{"id":"W3135830270","doi":"10.1080/23311916.2021.1896419","title":"Waste reduction of polypropylene bag manufacturing process using Six Sigma DMAIC approach: A case study","year":2021,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Polytechnique Montréal","funders":"","keywords":"DMAIC; Six Sigma; Polypropylene; Sack; Weaving; Process (computing); Process engineering; Engineering; Materials science; Mechanical engineering; Manufacturing engineering; Computer science; Composite material","score_opus":0.01943464580966596,"score_gpt":0.22526227107928545,"score_spread":0.2058276252696195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135830270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860849,0.00019139597,0.0119897835,0.000030722465,0.00046223757,0.0007473543,0.0000013208961,0.000178766,0.00031355803],"genre_scores_gemma":[0.99761105,0.0000025346746,0.001342881,0.000024868486,0.00077318354,0.0000653621,0.000015064289,0.000076894954,0.00008817575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822557,0.0000137189445,0.00043409163,0.00050221843,0.0003791353,0.00044528546],"domain_scores_gemma":[0.99913824,0.000016201428,0.00018682082,0.00042745008,0.000205294,0.00002600117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035709448,0.00029752168,0.0003151066,0.000485318,0.00014731244,0.00017883959,0.00019246517,0.00005535651,0.0000571752],"category_scores_gemma":[0.00008148942,0.00032835492,0.000099136494,0.0007609318,0.000018290777,0.0007079647,0.00033705923,0.00016155152,0.000008972001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024272073,0.0005598665,0.0017601657,0.0034176596,0.000234739,0.0029662654,0.0007645921,0.97911245,0.008792943,0.00015871355,0.000034432218,0.0021738915],"study_design_scores_gemma":[0.0022017243,0.00004052062,0.00036142924,0.0002765198,0.0006648229,0.0009619538,0.16326867,0.7854785,0.0443429,0.00007939401,0.0012364318,0.0010871782],"about_ca_topic_score_codex":0.00021998564,"about_ca_topic_score_gemma":0.0000069570588,"teacher_disagreement_score":0.193634,"about_ca_system_score_codex":0.00013619245,"about_ca_system_score_gemma":0.000034433917,"threshold_uncertainty_score":0.99991685},"labels":[],"label_agreement":null},{"id":"W3159054383","doi":"10.1080/23311916.2021.1917330","title":"Relationships of soil erodibility parameters and water quality indices along Tigris Riverbanks, Baghdad City, Iraq","year":2021,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Hydrology (agriculture); Erosion; Soil water; Soil test; Pollution; Soil science; Geology; Ecology; Geotechnical engineering","score_opus":0.05531977650863706,"score_gpt":0.2244299744912478,"score_spread":0.16911019798261073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159054383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991148,0.00027230108,0.000045181263,0.00025326098,0.000101815276,0.000069015936,0.000022287706,0.000048892653,0.00007243041],"genre_scores_gemma":[0.9995714,0.000060955692,0.00017219383,0.000033634293,0.000023463614,0.00000482759,0.00008498388,8.496551e-7,0.0000477126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913865,0.00005352308,0.00025441646,0.00022416768,0.0001668536,0.00016240394],"domain_scores_gemma":[0.99960554,0.0001674014,0.00003306988,0.000063409796,0.00004292084,0.00008768998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039201038,0.000098658,0.00015789105,0.00001043267,0.00008002073,0.00002205363,0.000075408134,0.00007824394,0.00011159258],"category_scores_gemma":[0.00006782321,0.00004228049,0.00006664306,0.00012708145,0.000033499055,0.00008169994,0.000043005122,0.00012398978,0.0000043128202],"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":[0.000009142307,0.00005457929,0.74610776,0.000041309395,0.000021272897,0.000004789149,0.00030686843,0.0003532848,0.25060466,0.00007910878,0.000024912424,0.002392305],"study_design_scores_gemma":[0.00010609046,0.000021163774,0.89891434,0.00002427351,0.000013974119,0.000001962177,0.00015649595,0.00023677798,0.099875726,0.000050980325,0.00048669233,0.00011153762],"about_ca_topic_score_codex":0.00022192586,"about_ca_topic_score_gemma":0.00029073097,"teacher_disagreement_score":0.15280657,"about_ca_system_score_codex":0.000012338608,"about_ca_system_score_gemma":0.000005306916,"threshold_uncertainty_score":0.17241484},"labels":[],"label_agreement":null},{"id":"W3160908504","doi":"10.1080/23311916.2021.1920563","title":"Synthesis of nanostructured cupric oxide for visible light assisted degradation of organic wastewater pollutants","year":2021,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"JavaScript; Pollutant; Degradation (telecommunications); Zoom; Wastewater; Computer science; Oxide; Environmental science; Materials science; Process engineering; Chemistry; Environmental chemistry; Chemical engineering; Environmental engineering; Engineering; Programming language; Physics; Organic chemistry; Optics; Metallurgy; Telecommunications","score_opus":0.011194081309266333,"score_gpt":0.21755951278019842,"score_spread":0.2063654314709321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160908504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355435,0.00018417648,0.005498608,0.00009674447,0.0002503446,0.00018527998,0.00017728646,0.000042563755,0.000010642653],"genre_scores_gemma":[0.9904342,0.000013572762,0.009358399,0.0000061896376,0.000026979913,0.000047096913,0.00001551966,0.000022287688,0.000075708886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915695,0.000014642928,0.00034600464,0.0001919861,0.00012365221,0.00016677586],"domain_scores_gemma":[0.99939704,0.00007225847,0.00011691129,0.0002580102,0.00011241378,0.000043377113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110644156,0.00011086326,0.00023972645,0.000069987356,0.000037171743,0.000021924021,0.00012877105,0.000052743173,0.00027840887],"category_scores_gemma":[0.00016728927,0.00010244634,0.000067522386,0.00024004177,0.000010619883,0.00006304336,0.00004435439,0.000017239025,0.0000060421157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001165054,0.000030339117,0.00003146409,0.00016200614,0.000013242819,7.4184345e-7,0.000023308472,0.0002617441,0.99892914,0.000104450264,0.00003312295,0.0003987996],"study_design_scores_gemma":[0.00018406779,0.0000143607285,0.0012047951,0.00009050756,0.000045138408,0.000006987343,0.000024068131,0.00041867004,0.9974495,0.000015103185,0.00044120592,0.00010555918],"about_ca_topic_score_codex":0.0000038189414,"about_ca_topic_score_gemma":0.0000031876784,"teacher_disagreement_score":0.0038597912,"about_ca_system_score_codex":0.00003531879,"about_ca_system_score_gemma":0.00006260042,"threshold_uncertainty_score":0.41776407},"labels":[],"label_agreement":null},{"id":"W3166081680","doi":"10.1080/23311916.2021.1929040","title":"Phased array probe for the inspection of large steel forgings","year":2021,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phased array; Forging; Transducer; Phased array ultrasonics; Acoustics; Ultrasonic testing; Aperture (computer memory); Nondestructive testing; Ultrasonic sensor; Block (permutation group theory); Amplitude; Focus (optics); Phased-array optics; Materials science; Optics; Engineering; Mechanical engineering; Electrical engineering; Physics","score_opus":0.008112461903368853,"score_gpt":0.20635190516971377,"score_spread":0.1982394432663449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166081680","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":[0.032074355,0.0012283309,0.96561867,0.00004499449,0.00048296238,0.00021375265,0.000025937707,0.00017660951,0.00013437652],"genre_scores_gemma":[0.99467486,0.0000731566,0.0049894145,0.000009046847,0.0001130041,0.00005747293,0.00001421204,0.00002943004,0.000039402046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951047,0.0000022356717,0.00015081778,0.00008838791,0.00008499429,0.00016312086],"domain_scores_gemma":[0.9996807,0.00007819637,0.000020660887,0.00012396631,0.00007184966,0.000024626173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010995144,0.00008783493,0.00009601222,0.00003128665,0.000044968565,0.000017693343,0.000059613398,0.000034352666,0.000011835423],"category_scores_gemma":[0.00007510096,0.00007696721,0.000062161525,0.0001357393,0.0000049226705,0.000052299594,0.0000047184794,0.000072320305,0.0000013978809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017864944,0.000015746524,0.000017415574,0.0001750825,0.000046501824,4.2070707e-7,0.00011983068,0.094686374,0.9031666,0.000959525,0.00008672149,0.0007239956],"study_design_scores_gemma":[0.00032767936,0.000012469958,0.00015567297,0.000043715194,0.00003426876,0.0000046675027,0.00008159514,0.3459047,0.6375448,0.000035156565,0.015761873,0.00009337698],"about_ca_topic_score_codex":5.9710794e-7,"about_ca_topic_score_gemma":0.0000013811106,"teacher_disagreement_score":0.9626005,"about_ca_system_score_codex":0.000038526618,"about_ca_system_score_gemma":0.000013397891,"threshold_uncertainty_score":0.3138632},"labels":[],"label_agreement":null},{"id":"W4213212912","doi":"10.1080/23311916.2021.2004672","title":"Reliability-based analysis of highway geometric Elements: A systematic review","year":2021,"lang":"en","type":"review","venue":"Cogent Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geometric design; Design speed; Reliability (semiconductor); Intersection (aeronautics); Reliability engineering; Sight; Visibility; Transport engineering; Computer science; Engineering","score_opus":0.017428496770473825,"score_gpt":0.2572010210791845,"score_spread":0.2397725243087107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213212912","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":[0.0000014766714,0.97171664,0.025985744,0.000001155414,0.00038196976,0.001295727,0.00015530319,0.0004123502,0.000049621427],"genre_scores_gemma":[0.00006874816,0.9975809,0.0011900036,0.000009530466,0.0000340705,0.00038212904,0.0005924702,0.000113905575,0.000028261817],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99651456,0.000093748466,0.0021432035,0.00041573617,0.00044083688,0.00039190825],"domain_scores_gemma":[0.99792755,0.0003878012,0.00030986653,0.001113746,0.000120466604,0.00014055042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005804263,0.00063402293,0.0058610933,0.0015337726,0.000021922579,0.000019128536,0.0004493184,0.00024313111,0.00011488148],"category_scores_gemma":[0.00035083288,0.00053527823,0.0020784095,0.007065774,0.000012382336,0.000045365916,0.00005876091,0.00035793858,0.000027136655],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.78094e-8,0.000030899333,4.352691e-7,0.90611976,0.0041736057,0.000010110147,0.0000036932743,0.08086902,3.068296e-7,0.000020942281,0.00013613263,0.008634976],"study_design_scores_gemma":[0.00009976683,0.000010385655,0.0000021672827,0.6752536,0.052392825,0.000004461718,0.0000025451761,0.03424701,0.0000022241525,4.1472088e-8,0.23738454,0.00060038065],"about_ca_topic_score_codex":0.0000010868655,"about_ca_topic_score_gemma":4.886336e-7,"teacher_disagreement_score":0.2372484,"about_ca_system_score_codex":0.00036199717,"about_ca_system_score_gemma":0.00008935522,"threshold_uncertainty_score":0.9997099},"labels":[],"label_agreement":null},{"id":"W4311635348","doi":"10.1080/23311916.2022.2156063","title":"Public attitude towards autonomous vehicles before and after crashes: A detailed analysis based on the demographic characteristics","year":2022,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"SAFER; Perception; Order (exchange); Public opinion; Business; Emerging technologies; Marketing; Psychology; Engineering; Public relations; Computer security; Political science; Computer science","score_opus":0.02192420981269696,"score_gpt":0.26060098731638176,"score_spread":0.2386767775036848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311635348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99068224,0.000077099176,0.0063850735,0.0014857427,0.00047318902,0.00017957923,0.000057936988,0.00019210586,0.00046703083],"genre_scores_gemma":[0.99832785,0.0000024246108,0.00005323493,0.00076599285,0.000056390767,0.0004279699,0.000043277127,0.000022179156,0.0003006622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897105,0.00009252852,0.00028033907,0.00024059416,0.0001969215,0.00021857052],"domain_scores_gemma":[0.99938184,0.00010006866,0.00007781768,0.00031893412,0.000038271122,0.000083073246],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031969373,0.00015019752,0.00018284594,0.00044735588,0.00019693142,0.00007790803,0.00015945667,0.000040836607,0.006473004],"category_scores_gemma":[0.000047238158,0.00012635453,0.00015808847,0.0005306668,0.00002425365,0.000043858574,0.000059075166,0.00026238925,0.000034551544],"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":[0.00023167937,0.0006597727,0.93757164,0.0000908632,0.0037031623,0.0001613123,0.006858576,0.016114961,0.00052789715,0.012792334,0.00088998454,0.020397816],"study_design_scores_gemma":[0.0002219395,0.000058931568,0.83141625,0.0000057283323,0.00013734672,0.0000064729247,0.00014963803,0.15386419,0.000011164562,0.0000058715354,0.0139853405,0.0001371421],"about_ca_topic_score_codex":0.000005643895,"about_ca_topic_score_gemma":0.00002959102,"teacher_disagreement_score":0.13774922,"about_ca_system_score_codex":0.00008022233,"about_ca_system_score_gemma":0.000020162686,"threshold_uncertainty_score":0.9944352},"labels":[],"label_agreement":null},{"id":"W4379534991","doi":"10.1080/23311916.2023.2220502","title":"Investigating how the public acceptance of autonomous vehicles evolve with the changes in the level of knowledge: A demographic analysis","year":2023,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Optimism; Affect (linguistics); Positive attitude; Psychology; Software deployment; Public opinion; Public transport; Social psychology; Applied psychology; Business; Political science; Engineering; Transport engineering; Politics","score_opus":0.2023313146992285,"score_gpt":0.32498738953189366,"score_spread":0.12265607483266516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379534991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855088,0.00024063197,0.007224804,0.0065891845,0.000074919684,0.00018438294,0.000010066759,0.00003205374,0.0001351717],"genre_scores_gemma":[0.99939394,0.000009258118,0.00031838298,0.00008263279,0.000031213905,0.000038046597,0.000002808308,0.0000084322655,0.00011527937],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984563,0.00013114548,0.00033951303,0.00019377779,0.00066202687,0.00021725484],"domain_scores_gemma":[0.9972549,0.0016661844,0.00027528353,0.00045626913,0.00032171622,0.00002563279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004374179,0.00011345796,0.00022126714,0.0008048473,0.00015971648,0.00012324165,0.00091482874,0.000035813093,0.000017708482],"category_scores_gemma":[0.0021186955,0.000049400496,0.000095795935,0.013289565,0.00014935459,0.00010379019,0.00013338601,0.00019732607,0.0000030457172],"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":[0.000019189556,0.00018330604,0.45372084,0.00017857744,0.0010104852,0.000013684169,0.08491197,0.14939722,0.04921546,0.0377832,0.0057329983,0.21783304],"study_design_scores_gemma":[0.00020247822,0.00003198412,0.36841112,0.00005394101,0.000060725226,0.0000036913598,0.013435191,0.6129437,0.0018062709,0.00019906787,0.002717131,0.00013470482],"about_ca_topic_score_codex":0.0000074422283,"about_ca_topic_score_gemma":0.00042407608,"teacher_disagreement_score":0.46354645,"about_ca_system_score_codex":0.000012962322,"about_ca_system_score_gemma":0.000046349334,"threshold_uncertainty_score":0.6385196},"labels":[],"label_agreement":null},{"id":"W4404849851","doi":"10.1080/23311916.2024.2432515","title":"Machine learning-based risk of fall estimation using insole with force sensors while performing a sequence of activities in the TUG test","year":2024,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Forschungskreis der Ernährungsindustrie","keywords":"Test (biology); Sequence (biology); Computer science; Machine learning; Engineering; Artificial intelligence; Simulation","score_opus":0.026126183053889647,"score_gpt":0.3047295538770776,"score_spread":0.278603370823188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404849851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646352,0.00037937128,0.03436958,0.000019298213,0.000085784326,0.00030922753,0.000042111908,0.0000576103,0.00010179387],"genre_scores_gemma":[0.99779266,0.000046651254,0.0019861474,0.0000072723806,0.000026998945,0.00003093737,0.00002622181,0.000020502377,0.00006259238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991822,0.000092401744,0.00026791633,0.00011994087,0.0001535675,0.00018397771],"domain_scores_gemma":[0.99919003,0.0005196963,0.000120891666,0.00011750812,0.00003188872,0.000019999196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005353165,0.00010458696,0.00015761268,0.0001337309,0.00009681079,0.0000068831714,0.0000740009,0.000058971782,0.0000036638874],"category_scores_gemma":[0.00013068471,0.000077585806,0.000038657956,0.0002681017,0.000021773543,0.00013342735,0.000018367327,0.00042602362,0.0000016498561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039862385,0.000111408364,0.10685334,0.0038570133,0.000044756966,0.000009219135,0.00737763,0.7578624,0.1221603,0.00018812413,0.000005690234,0.0014902363],"study_design_scores_gemma":[0.00027397263,0.00007451536,0.01157051,0.001786132,0.000035352936,0.000003015824,0.0007871166,0.98469216,0.0005285946,0.000012178186,0.00015528225,0.00008115487],"about_ca_topic_score_codex":0.00026238078,"about_ca_topic_score_gemma":0.000089394816,"teacher_disagreement_score":0.22682975,"about_ca_system_score_codex":0.00008294137,"about_ca_system_score_gemma":0.00008715529,"threshold_uncertainty_score":0.31638575},"labels":[],"label_agreement":null},{"id":"W4405812813","doi":"10.1080/23311916.2024.2438806","title":"Quantum computing for solving Bayesian networks of bridges – method and recommendations","year":2024,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian network; Bayesian probability; Computer science; Quantum computer; Quantum; Artificial intelligence; Physics","score_opus":0.010410953992309608,"score_gpt":0.2623302925675716,"score_spread":0.251919338575262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405812813","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":[0.0047113434,0.0020364823,0.9912007,0.0007190757,0.0009152977,0.0001225561,0.0000037611023,0.0002842335,0.000006579934],"genre_scores_gemma":[0.60582626,0.000022312483,0.3939577,0.000022884156,0.00014445421,0.0000038448716,0.0000030477781,0.000013881588,0.0000056365902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991864,0.000014135867,0.00021546577,0.0002809622,0.0000734988,0.00022955997],"domain_scores_gemma":[0.9991613,0.0005615328,0.000035099594,0.000150951,0.000030215318,0.000060912538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041842478,0.00012190124,0.00015688126,0.00012906778,0.00008580021,0.00014209107,0.00021751286,0.000037191836,9.0760847e-7],"category_scores_gemma":[0.000043347445,0.00011901687,0.00006841887,0.00023558913,0.000008917694,0.0000938255,0.0001668126,0.00012911716,2.670566e-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":[6.38051e-7,0.000007342073,0.000023813338,0.00018281657,0.00003793886,0.0000035930425,0.00045267917,0.7263508,0.0014083465,0.039564613,0.00016892802,0.23179851],"study_design_scores_gemma":[0.00007188315,0.00003298169,0.00014244262,0.00029303483,0.000009405253,0.00003125319,0.000009914324,0.9959589,0.0007055174,0.00044576745,0.0021675753,0.00013129269],"about_ca_topic_score_codex":0.00000475435,"about_ca_topic_score_gemma":3.7954283e-7,"teacher_disagreement_score":0.6011149,"about_ca_system_score_codex":0.000015389036,"about_ca_system_score_gemma":0.000017805436,"threshold_uncertainty_score":0.48533672},"labels":[],"label_agreement":null},{"id":"W4412900598","doi":"10.1080/23311916.2025.2535692","title":"Inclusive tool to assess lean manufacturing maturity and its relationship with the size or location of the company in Greater Montreal, Canada","year":2025,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Maturity (psychological); Lean manufacturing; Business; Manufacturing; Operations management; Manufacturing engineering; Engineering; Marketing; Psychology","score_opus":0.01599669080291805,"score_gpt":0.21554728098269804,"score_spread":0.19955059017978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412900598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939367,0.00004844704,0.0013755248,0.0036855107,0.000102742895,0.00043949945,0.0000016457018,0.000017494933,0.0003923903],"genre_scores_gemma":[0.9988839,0.0000013374723,0.000035273686,0.000683684,0.000036230438,0.00002942716,0.0000019991191,0.0000068354643,0.00032131185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994463,0.000008049353,0.00015405426,0.00012331067,0.00013978286,0.00012852786],"domain_scores_gemma":[0.9996249,0.000115557734,0.000045741483,0.0001568466,0.0000510143,0.0000059475087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020375873,0.00009774856,0.00010580468,0.000069679605,0.00010814391,0.00006119455,0.000162616,0.000019941004,0.000009220988],"category_scores_gemma":[0.00013117578,0.00005807752,0.0000111544405,0.00038066678,0.000008926484,0.00015314273,0.00021839193,0.000098484794,9.557046e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026797858,0.000080412574,0.14042301,0.004223221,0.00019583112,0.000029660068,0.001268249,0.8082844,0.0003174622,0.037452765,0.005180589,0.002276386],"study_design_scores_gemma":[0.0003459842,0.0000030340864,0.97265893,0.00031582126,0.000043906675,5.45184e-7,0.00056886714,0.020531688,0.0006777165,0.000101523634,0.004615393,0.00013656486],"about_ca_topic_score_codex":0.03639183,"about_ca_topic_score_gemma":0.25039116,"teacher_disagreement_score":0.83223593,"about_ca_system_score_codex":0.00007988082,"about_ca_system_score_gemma":0.000040623447,"threshold_uncertainty_score":0.97002494},"labels":[],"label_agreement":null},{"id":"W4413318198","doi":"10.1080/23311916.2025.2547636","title":"FCEEG: federated learning-based seizure diagnosis through electroencephalogram (EEG) analysis","year":2025,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Electroencephalography; Computer science; Artificial intelligence; Speech recognition; Psychology; Neuroscience","score_opus":0.01329316272106006,"score_gpt":0.2570332454740792,"score_spread":0.24374008275301912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413318198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5174435,0.0005989239,0.47939426,0.0006677253,0.00041383685,0.0002168372,0.0000062404074,0.00070352637,0.00055520015],"genre_scores_gemma":[0.99774665,0.00006506761,0.0009770739,0.0006967941,0.000035923633,0.00008006727,0.000011702077,0.000019162568,0.00036756718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851805,0.00006696355,0.00025248856,0.0005126916,0.00020301736,0.0004468162],"domain_scores_gemma":[0.99926084,0.00036486468,0.000054842658,0.0002083624,0.000046612797,0.000064453154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009922327,0.00023973155,0.00029036537,0.0003062987,0.00018675372,0.00021038188,0.00030865276,0.000083023006,0.0000693904],"category_scores_gemma":[0.00035271476,0.00023258984,0.00020396354,0.002053818,0.00003240311,0.00012889183,0.00006969021,0.00032208065,0.000016014717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014106036,0.00011584664,0.0071674986,0.000062953586,0.00024274651,0.000048612186,0.0001451113,0.8753959,0.113413736,0.00042091034,0.00093795493,0.0020346276],"study_design_scores_gemma":[0.00024830468,0.000079346944,0.00096216373,0.000058980393,0.00016030308,0.0000023964396,0.00001986416,0.54352885,0.42758736,0.000014547046,0.027102757,0.0002351015],"about_ca_topic_score_codex":0.00001658911,"about_ca_topic_score_gemma":0.000008578383,"teacher_disagreement_score":0.4803032,"about_ca_system_score_codex":0.000080698825,"about_ca_system_score_gemma":0.000038331655,"threshold_uncertainty_score":0.9484738},"labels":[],"label_agreement":null},{"id":"W4414591283","doi":"10.1080/23311916.2025.2558767","title":"Optimizing neural network architectures for ground temperature prediction in ground source heat pump systems","year":2025,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sizing; Heat pump; Artificial neural network; Borehole; Heat exchanger; Work (physics); Thermal; Heat transfer","score_opus":0.007394528695865661,"score_gpt":0.20172291081005303,"score_spread":0.19432838211418738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414591283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95442903,0.0030764474,0.03941482,0.00014830314,0.001336956,0.0006510858,0.000013008465,0.00032690703,0.0006034143],"genre_scores_gemma":[0.99661773,0.0000060334696,0.00035263223,0.000052012318,0.0006350241,0.00061320746,0.000039227805,0.00004012565,0.0016440153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989453,0.00002245609,0.0003125579,0.0002723872,0.000092801754,0.0003545126],"domain_scores_gemma":[0.99956745,0.00008779991,0.000029462364,0.00022994523,0.000030184463,0.000055133845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013959211,0.00019337167,0.00022187522,0.0001263701,0.00012039075,0.00009830719,0.00014149246,0.00012585943,0.000004822948],"category_scores_gemma":[0.000017926242,0.00019006827,0.00008299308,0.00032220743,0.000010204871,0.000035348945,0.0000339403,0.00016729334,0.000002032179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010857315,0.000013178087,0.00014870874,0.0001382896,0.000042773987,0.0000010576738,0.00011254013,0.9841012,0.0071451482,0.0078305,0.00009918863,0.00035655816],"study_design_scores_gemma":[0.00042449377,0.00001791462,0.001759547,0.0002611935,0.000020920772,0.000010118851,0.00010069922,0.9462459,0.0002772021,0.00004217229,0.050667785,0.0001720559],"about_ca_topic_score_codex":0.0010957827,"about_ca_topic_score_gemma":0.00013180317,"teacher_disagreement_score":0.0505686,"about_ca_system_score_codex":0.00010173543,"about_ca_system_score_gemma":0.000014536673,"threshold_uncertainty_score":0.7750759},"labels":[],"label_agreement":null}]}