{"id":"W2942532838","doi":"10.1017/9781139644938.014","title":"Reproductive Remix: Law, Kinship, and Origin Stories","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kinship; Genealogy; Sociology; Law; History; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007827384,0.0002398252,0.0001609584,0.000508814,0.002765775,0.00332245,0.0004342414,0.000940881,0.03228081],"category_scores_gemma":[0.001744962,0.0001303506,0.0001210045,0.0006420258,0.004084181,0.002904079,0.002156227,0.002052817,0.003851917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436432,"about_ca_system_score_gemma":0.0009228816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276002,"about_ca_topic_score_gemma":0.008121209,"domain_scores_codex":[0.9996637,0.0001735779,0.000005813115,0.00002367307,0.00009428156,0.00003889096],"domain_scores_gemma":[0.9996258,0.0002714627,0.00002085377,0.000025192,0.0000221288,0.00003448731],"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":[0.00002434265,0.00002186129,0.0003015772,0.0001462895,0.000002818745,0.0004932265,0.02586769,0.0000987688,0.0001670964,0.6816716,0.1960606,0.09514416],"study_design_scores_gemma":[0.00000249212,0.00001059592,0.0005638889,0.0003447683,0.000002100805,0.000421048,0.006388242,0.00005339152,0.0001975512,0.0322237,0.9597872,0.000004989137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004093316,0.02021578,0.00068522,0.008972663,0.0004811109,0.00001327289,0.00004851436,0.00003439006,0.9654558],"genre_scores_gemma":[0.08734214,0.01813999,0.0005001182,0.002661868,0.0004328077,0.00003646051,0.00005912591,0.00006649917,0.8907609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03228081,"threshold_uncertainty_score":0.10799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463509216336614,"score_gpt":0.2539433505758257,"score_spread":0.2075924289421643,"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."}}