{"id":"W3177988769","doi":"10.52214/vib.v7i.8559","title":"Reproductive Ethics and Family","year":2021,"lang":"en","type":"article","venue":"Voices in Bioethics","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Law; Legislature; License; Political science; State (computer science); Reproductive rights; Sociology; Reproductive health; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00160436,0.0001124374,0.000243985,0.0001241901,0.0001090287,0.00001649625,0.00005949455,0.00046626,0.000006534282],"category_scores_gemma":[0.009845741,0.00009876773,0.00002717939,0.0005138641,0.0008103524,0.00007201097,0.0001243288,0.002307565,0.00001189756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485095,"about_ca_system_score_gemma":0.0004473143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002478885,"about_ca_topic_score_gemma":0.0001509083,"domain_scores_codex":[0.9985138,0.0001535704,0.0002293769,0.000624111,0.0002470976,0.0002320859],"domain_scores_gemma":[0.9984497,0.0004460808,0.00006095667,0.0006191143,0.0003578546,0.00006632411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005444943,0.0007596614,0.6664501,0.003105295,0.0001479716,0.001240357,0.01944997,0.00000755959,0.0368591,0.1958799,0.001626515,0.07392912],"study_design_scores_gemma":[0.002088924,0.0005516274,0.6299324,0.0007383286,0.00008660206,0.0005795846,0.02733659,0.00006614705,0.1230373,0.07315382,0.1418728,0.0005558755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712199,0.01413835,0.00005080964,0.1070277,0.0003835376,0.0002480058,0.00000500546,0.0001596257,0.006767051],"genre_scores_gemma":[0.9751086,0.01082942,0.009606523,0.003559051,0.0002115111,0.00001787175,0.000009162856,0.00001649687,0.0006413849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402463,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500531781224325,"score_gpt":0.4235011714645043,"score_spread":0.2734479933420719,"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."}}