{"id":"W3195678169","doi":"10.1093/jlb/lsaa067","title":"Reimagining disability: the screening of donor gametes and embryos in IVF","year":2020,"lang":"en","type":"article","venue":"Journal of Law and the Biosciences","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Division of Arctic Sciences; University of Technology Sydney; London School of Economics and Political Science","keywords":"Embryo donation; Donation; Selection (genetic algorithm); Reproductive technology; Egg donation; The arts; Sociology; Political science; Gender studies; Public relations; Medicine; Embryo; Biology; Gynecology; Law; Genetics","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":[0.01694063,0.0003013084,0.0003379802,0.001137484,0.0111099,0.006507568,0.001363446,0.002943766,0.003162144],"category_scores_gemma":[0.03402912,0.0003535643,0.0003203813,0.0006273803,0.03380378,0.005489246,0.009531423,0.003719043,0.000305972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003609373,"about_ca_system_score_gemma":0.005439149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008127376,"about_ca_topic_score_gemma":0.009572559,"domain_scores_codex":[0.9806221,0.01608901,0.0002934822,0.0004172258,0.001464629,0.001113522],"domain_scores_gemma":[0.9751725,0.02158725,0.001167644,0.0006537373,0.0007084493,0.0007105769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003445749,0.00002286577,0.003496861,0.000065497,0.000002598795,0.001805533,0.9298045,0.0001158311,0.001075247,0.04062496,0.0007045635,0.02224706],"study_design_scores_gemma":[0.000008474652,0.00008323797,0.003537116,0.0005609874,0.00001188507,0.003374268,0.9040829,0.0003377478,0.001328668,0.01777057,0.06886426,0.00003993463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8104332,0.004628188,0.02074707,0.04031378,0.0003274399,0.0001836767,0.00003520799,0.0000363748,0.123295],"genre_scores_gemma":[0.9916025,0.001144466,0.00190483,0.001500993,0.00004856681,0.00004310453,0.000005802492,0.00001324404,0.003736519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694063,"threshold_uncertainty_score":0.08959174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242951266446192,"score_gpt":0.3136869281093521,"score_spread":0.2612574154448901,"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."}}