{"id":"W2379465275","doi":"","title":"Research on Civil Legal Regulation about Compulsory Sterilization for Mentally Disabled Women","year":2006,"lang":"en","type":"article","venue":"Dangdai faxue","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sterilization (economics); Guardian; Welfare; Eugenics; Law; Political science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01155424,0.0001665349,0.0002810985,0.002363253,0.005027577,0.005302864,0.001274393,0.003527821,0.01600333],"category_scores_gemma":[0.06212896,0.0002560198,0.0003931541,0.00450292,0.01051311,0.004224707,0.001853343,0.00352189,0.0007926112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0111202,"about_ca_system_score_gemma":0.01467512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03799338,"about_ca_topic_score_gemma":0.04579575,"domain_scores_codex":[0.9884651,0.005605945,0.0005292266,0.0009374458,0.002546738,0.001915556],"domain_scores_gemma":[0.8601145,0.1144997,0.01492488,0.002245697,0.006915565,0.001299612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001085999,0.0004810451,0.02159943,0.0004896157,0.00002897516,0.0002742883,0.03548087,0.0003474767,0.0005268437,0.8744128,0.006872671,0.05937731],"study_design_scores_gemma":[0.0001470221,0.0006268052,0.2320267,0.006284651,0.0002522021,0.0007008588,0.1931887,0.0009003622,0.005115294,0.1633554,0.3972685,0.0001334566],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3485051,0.01520698,0.001656022,0.06285346,0.0002505289,0.0002479859,0.000179862,0.000009451463,0.5710905],"genre_scores_gemma":[0.9453172,0.02023814,0.0006412157,0.01228564,0.0002605836,0.0001430156,0.0001382132,0.000009075947,0.02096688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03799338,"threshold_uncertainty_score":0.08068305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09740624994230968,"score_gpt":0.4251384465724458,"score_spread":0.3277321966301361,"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."}}