{"id":"W2948354309","doi":"10.1136/bmj.l4118","title":"Abortion: US “global gag rule” is killing women and girls, says report","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada)","funders":"","keywords":"Abortion; Medicine; Computer science; Pregnancy; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004734682,0.00007929117,0.0001862842,0.00002254061,0.00004407284,0.00001086804,0.00002024248,0.0000645469,0.000340102],"category_scores_gemma":[0.00009452995,0.00006863652,0.00002788298,0.00009349539,0.00002196595,0.00006941911,0.00001322233,0.00009184205,0.0001952146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143945,"about_ca_system_score_gemma":0.0001279426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006671032,"about_ca_topic_score_gemma":0.000002234209,"domain_scores_codex":[0.9989824,0.00001889052,0.0002691885,0.0003125045,0.0001953267,0.0002216942],"domain_scores_gemma":[0.9992861,0.000008516035,0.0001110696,0.0003382973,0.0001053658,0.0001507037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002585198,0.00004604857,0.9675427,0.0001556595,0.00002797177,0.0001198013,0.0003478607,0.000001613568,0.001129787,0.0001011966,0.009917768,0.02035106],"study_design_scores_gemma":[0.0007083266,0.0001383777,0.9064721,0.00004288768,0.00001434025,0.0008182835,0.0001248919,0.00006750503,0.0001116486,0.0004313725,0.09098828,0.00008191213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743477,0.0004926681,0.00008851135,0.009871107,0.0004297671,0.0005617511,0.000003409486,0.00004330303,0.01416181],"genre_scores_gemma":[0.9915387,0.00008912581,0.0004094235,0.001788436,0.001031678,0.00004064769,0.00001181083,0.000008045977,0.005082144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08107051,"threshold_uncertainty_score":0.3723879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652974142286008,"score_gpt":0.3281252593030659,"score_spread":0.3115955178802058,"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."}}