{"id":"W4301104290","doi":"10.1007/978-3-031-41215-8_5","title":"Sex Selection for Nonmedical Reasons","year":2023,"lang":"en","type":"article","venue":"","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Sex selection; Selection (genetic algorithm); Autonomy; Position (finance); Psychology; Ethical issues; Subject (documents); Social psychology; Political science; Business; Engineering ethics; Computer science; Sociology; Engineering; Law; Demography","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":[0.00243292,0.0002231885,0.0002026988,0.0007551897,0.001042475,0.001175629,0.0004394848,0.000874424,0.02853366],"category_scores_gemma":[0.01103979,0.0000801823,0.0002421659,0.0004123083,0.001373899,0.0004162516,0.0006380997,0.0006980893,0.001362509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727246,"about_ca_system_score_gemma":0.000888827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004684068,"about_ca_topic_score_gemma":0.001158349,"domain_scores_codex":[0.9986035,0.0006579327,0.0000475606,0.0001201512,0.0003238488,0.0002469705],"domain_scores_gemma":[0.995532,0.002164006,0.0007483259,0.0005819879,0.000421156,0.0005523519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001035448,0.000534059,0.3925586,0.0004736142,0.0001935586,0.006612697,0.00678899,0.0002043659,0.01942993,0.2140748,0.02085663,0.3372374],"study_design_scores_gemma":[0.0003117057,0.0013526,0.5476216,0.0008900663,0.0002130838,0.04531846,0.01034286,0.001194913,0.0248068,0.1045096,0.2633453,0.00009291036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6205903,0.007456975,0.006912285,0.02499673,0.001294725,0.0001720938,0.0005437727,0.00009361905,0.3379394],"genre_scores_gemma":[0.9764342,0.0006315962,0.001171659,0.002088762,0.0003163788,0.00001829914,0.0000660653,0.00002475073,0.01924821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02853366,"threshold_uncertainty_score":0.09545463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327557500031351,"score_gpt":0.3826000634437339,"score_spread":0.2498443134405988,"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."}}