{"id":"W2793054711","doi":"10.7202/1058266ar","title":"From the Middle Ages to the 21st Century. Abortion, Assisted Reproduction Technologies and LGBT Rights in Argentina","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Bioethics","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminalization; Abortion; Legislature; Reproductive rights; Reproductive technology; Perspective (graphical); Reproduction; Political science; Gender studies; Sexual assault; Assisted reproductive technology; Sociology; Reproductive health; Law; Medicine; Demography; Pregnancy; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023301,0.0001023541,0.0002115761,0.0002620541,0.0001843252,0.00004010406,0.0002173011,0.0002019111,0.00001691312],"category_scores_gemma":[0.001982235,0.00005420958,0.00004235665,0.0005066195,0.0004154187,0.00007554707,0.00002389288,0.000938267,0.00001311552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316406,"about_ca_system_score_gemma":0.0005124655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01943558,"about_ca_topic_score_gemma":0.05679156,"domain_scores_codex":[0.998913,0.00006705573,0.0003423775,0.0002455279,0.0001803887,0.0002516138],"domain_scores_gemma":[0.9986742,0.0001024619,0.0002019382,0.000574986,0.0003105891,0.0001358231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004340145,0.0001496824,0.671517,0.0002824747,0.0003288506,0.0004750603,0.01390152,0.00003676434,0.004467999,0.04290996,0.02346611,0.2420305],"study_design_scores_gemma":[0.0005693109,0.0003787617,0.4550474,0.0004632101,0.00005621266,0.0004445233,0.02627144,0.000003134552,0.005148694,0.006981876,0.5044948,0.0001406921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981849,0.008508288,0.000004419185,0.1919065,0.000772271,0.0003516739,0.00001074252,0.00002388504,0.0002373495],"genre_scores_gemma":[0.9974535,0.001249754,0.0004065162,0.0005257584,0.0002491453,0.000004324414,0.000003898766,0.000006989969,0.0001001532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4810287,"threshold_uncertainty_score":0.9870941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307782149310744,"score_gpt":0.3019168077806484,"score_spread":0.238838986287541,"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."}}