{"id":"W4213050936","doi":"10.2991/assehr.k.220131.134","title":"A Global Insight Into Legalized Abortion","year":2022,"lang":"en","type":"article","venue":"Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Abortion; Computer science; Pregnancy","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":[],"consensus_categories":[],"category_scores_codex":[0.002149806,0.0003532623,0.0003221222,0.001633088,0.002627825,0.005986289,0.000645017,0.002448985,0.007475201],"category_scores_gemma":[0.002016132,0.0001687988,0.0003689426,0.001811324,0.02195094,0.008602911,0.003623436,0.003817748,0.000424932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005240859,"about_ca_system_score_gemma":0.001964223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003802572,"about_ca_topic_score_gemma":0.003171963,"domain_scores_codex":[0.9984224,0.0008930718,0.00003619502,0.0002120205,0.0001989002,0.0002374553],"domain_scores_gemma":[0.9989208,0.0006815822,0.0001119987,0.0001130014,0.00009123597,0.00008142656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002220498,0.000002439789,0.0001588026,0.00001473393,0.000001062462,0.00004370877,0.003145055,0.00009708023,0.00002748349,0.9928458,0.0006327004,0.003028944],"study_design_scores_gemma":[0.000006980993,0.00001433283,0.001812343,0.0002003776,0.000007996226,0.0002705435,0.007952171,0.0004540051,0.00009298985,0.871256,0.1179239,0.000008378876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03077394,0.01305558,0.008269055,0.04279066,0.0002639393,0.00001847822,0.00008618783,0.00002548152,0.9047168],"genre_scores_gemma":[0.9670265,0.01161006,0.002419817,0.004717004,0.0005020215,0.00005135667,0.00008875388,0.00005940044,0.01352508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007475201,"threshold_uncertainty_score":0.03802526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040264679376102,"score_gpt":0.5180647138763723,"score_spread":0.4140382459387622,"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."}}