{"id":"W1592407072","doi":"","title":"Equal Choice, Equal Benefit: Gendered Disability and the Regulation of Assisted Human Reproduction in Canada","year":2009,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Reproduction; Political science; Humanities; Interdiction; Reproductive technology; Ethnology; Reproductive rights; Charter; Sociology; Law; Geography; Population; Philosophy; Reproductive health; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003710157,0.0001339116,0.0003238111,0.001044433,0.000125722,0.000006082415,0.0001125137,0.00008539647,0.000004943748],"category_scores_gemma":[0.0004311292,0.0001079745,0.00004692912,0.003014338,0.000274263,0.000125081,0.00005661936,0.0002402621,1.74295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007265483,"about_ca_system_score_gemma":0.000521742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9293609,"about_ca_topic_score_gemma":0.8681124,"domain_scores_codex":[0.9986775,0.0001129958,0.000268656,0.0004865954,0.00022614,0.0002280923],"domain_scores_gemma":[0.9989326,0.00008722693,0.0001773171,0.0006282025,0.0001290865,0.00004559456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004293743,0.0008649811,0.3526815,0.0005235239,0.0001444636,0.00005073517,0.002786399,0.00007745552,0.001082397,0.04034875,0.0000848613,0.5970612],"study_design_scores_gemma":[0.003670818,0.0002515415,0.9519553,0.00004959036,0.00007282641,0.0000185347,0.001042638,0.0001001472,0.001665951,0.00008242547,0.04095827,0.0001320124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747355,0.00001033206,0.00003021673,0.002201962,0.00006138914,0.0009182887,0.000007344911,0.00006766841,0.02196733],"genre_scores_gemma":[0.9973822,0.00232708,0.0001474435,0.00004499243,0.00005981402,0.000001918349,0.0000188794,0.000006339585,0.00001134624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5992737,"threshold_uncertainty_score":0.4403072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606413785658748,"score_gpt":0.2670317794843758,"score_spread":0.2309676416277884,"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."}}