{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200626,0.0000421035,0.0001927962,0.00002134022,0.00008108588,0.00001822299,0.0001038355,0.00001633878,0.000001462117],"category_scores_gemma":[0.0008699653,0.00001469498,0.00002824141,0.0001668036,0.002034663,0.00009975531,0.00004786669,0.0001862848,4.885662e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003374338,"about_ca_system_score_gemma":0.00003305745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008889609,"about_ca_topic_score_gemma":0.000006685942,"domain_scores_codex":[0.999396,0.00005130788,0.0002319737,0.00008909689,0.0001478809,0.00008377225],"domain_scores_gemma":[0.9994202,0.0002542498,0.0001651412,0.00007681344,0.00004059384,0.00004305854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001400812,0.00008075134,0.8410941,0.0002549203,0.00004684693,0.00001633665,0.005518919,0.000006178725,0.007932315,0.06842198,0.0000558491,0.07517104],"study_design_scores_gemma":[0.006413237,0.00299557,0.8806777,0.0007382151,0.0001820064,0.0006206789,0.02842341,0.00175557,0.02065912,0.04464857,0.01268029,0.0002056313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942452,0.002881409,0.00002826117,0.102145,0.00004581864,0.00008972962,4.2971e-7,0.000003530622,0.0005606267],"genre_scores_gemma":[0.9978579,0.0004583685,0.0007577686,0.000851506,0.00006843357,6.58268e-7,1.736403e-8,0.000001223078,0.000004072251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036127,"threshold_uncertainty_score":0.7496802,"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."}}