{"id":"W3133161949","doi":"10.3390/women1010006","title":"Women—An Open Access Journal","year":2021,"lang":"en","type":"article","venue":"Women","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Open access journal; Political science; MEDLINE; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","insufficient_payload"],"category_scores_codex":[0.03277112,0.0001121519,0.0003181832,0.02219765,0.0004828767,0.0527485,0.01214529,0.0000700103,0.02788196],"category_scores_gemma":[0.02410805,0.00007734322,0.00005147831,0.1614831,0.00007755789,0.004731528,0.006581864,0.0003429178,0.0009142584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005009407,"about_ca_system_score_gemma":0.001037406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000020066,"about_ca_topic_score_gemma":0.000008938699,"domain_scores_codex":[0.9902706,0.0004432998,0.0005801998,0.0006492889,0.00706059,0.0009960207],"domain_scores_gemma":[0.9927997,0.001198338,0.0002120654,0.001008123,0.003374964,0.001406782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007336451,0.0007001347,0.06985842,0.000004024735,0.00005042285,0.000558565,0.003822051,0.0000445988,0.002639767,0.001843021,0.1221348,0.7982708],"study_design_scores_gemma":[0.0009235892,0.0003559087,0.1079299,0.000004295657,0.000001241121,0.0001300587,0.007596035,0.0003961944,0.001030363,0.1254514,0.7559234,0.0002575153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537796,0.000184127,0.0005191772,0.001233736,0.0007923412,0.00009999694,0.00001394785,0.00001237823,0.04336467],"genre_scores_gemma":[0.9588663,0.0001740361,0.0006205201,0.001103519,0.0002246266,0.0000329345,0.000001933017,0.00001286026,0.0389633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7980133,"threshold_uncertainty_score":0.9998636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8415382076672177,"score_gpt":0.6893801013899552,"score_spread":0.1521581062772625,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}