{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004983662,0.0003056215,0.0004100585,0.001262066,0.01781058,0.009470358,0.002310696,0.006501487,0.00563084],"category_scores_gemma":[0.01173995,0.0003649507,0.0004921064,0.001657473,0.02683665,0.002030088,0.00456376,0.006429811,0.0002277558],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1260411,"about_ca_system_score_gemma":0.2455203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842817,"about_ca_topic_score_gemma":0.9903162,"domain_scores_codex":[0.9904454,0.001472264,0.0002077711,0.0008937138,0.003590872,0.003390004],"domain_scores_gemma":[0.9919917,0.003418944,0.0005807084,0.0003470599,0.002475962,0.001185578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002131066,0.00001535591,0.002898928,0.00006058166,0.00001074567,0.0003241513,0.008761962,0.0006706056,0.0002189646,0.9658671,0.01084336,0.01030701],"study_design_scores_gemma":[0.00009777057,0.00007009198,0.02565578,0.00109258,0.0001082477,0.0004917444,0.02605017,0.003297755,0.001271675,0.2465495,0.6950139,0.0003007298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1058689,0.01413485,0.006924382,0.1619734,0.0007619682,0.0001964436,0.0003299266,0.00005336794,0.7097566],"genre_scores_gemma":[0.9289822,0.003835846,0.001768624,0.01985132,0.000115961,0.00007033756,0.00004324281,0.00002480419,0.04530767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8739589,"threshold_uncertainty_score":0.9144967,"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."}}