{"id":"W6912863515","doi":"10.5683/sp2/vxjlgs","title":"Hormonal Contraceptive Review Supplementary Data","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hormonal contraception; Hormone; Population; Family planning; Estrogen; Endocrine system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001479556,0.001293921,0.002683796,0.00466862,0.0005925513,0.002342573,0.00170137,0.001510901,0.4359512],"category_scores_gemma":[0.01866213,0.0006347679,0.002384153,0.007663543,0.0003158103,0.00151047,0.001819534,0.001260383,0.0979775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002977,"about_ca_system_score_gemma":0.005096906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206074,"about_ca_topic_score_gemma":0.0427806,"domain_scores_codex":[0.9982951,0.0003015786,0.00053806,0.0003304334,0.0003453603,0.0001894924],"domain_scores_gemma":[0.9906735,0.003887258,0.001550797,0.0005805842,0.002845365,0.0004625311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002571126,0.00001533028,0.0005924366,0.02433588,0.0001715191,0.00003739427,0.00001706476,0.0001784216,0.0001204083,0.0005587747,0.9594917,0.01422387],"study_design_scores_gemma":[0.00117722,0.00006130266,0.006217313,0.01387129,0.0005330174,0.0001826834,0.00005737331,0.0001560733,0.0001902555,0.001686033,0.9758144,0.00005307277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004661976,0.0009767723,0.00005267101,0.0001537609,0.0000745792,0.00007020066,0.9972466,0.00007891442,0.001299964],"genre_scores_gemma":[0.001190625,0.002943499,0.00070098,0.0009506004,0.0001357535,0.001007054,0.988063,0.0001101545,0.00489838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4359512,"threshold_uncertainty_score":0.8045472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07226739655740003,"score_gpt":0.3401355072181371,"score_spread":0.2678681106607371,"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."}}