{"id":"W4235561760","doi":"10.1002/9781444314342.ch34","title":"Prenatal and Preimplantation Diagnosis: International Policy Perspectives","year":2009,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Preimplantation genetic diagnosis; Prenatal diagnosis; Sex selection; Selection (genetic algorithm); Medicine; Obstetrics; Genetics; Biology; Pregnancy; Computer science; Fetus; Machine learning","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":[0.009963517,0.001041819,0.001200243,0.002428557,0.003448045,0.01034517,0.002249277,0.02251581,0.05801114],"category_scores_gemma":[0.01579147,0.0005944663,0.0008420548,0.004317373,0.005160453,0.01160902,0.003881629,0.01160922,0.002501642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124134,"about_ca_system_score_gemma":0.01851046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04308622,"about_ca_topic_score_gemma":0.0416469,"domain_scores_codex":[0.9941307,0.002149392,0.0002515288,0.0006003762,0.001342664,0.001525369],"domain_scores_gemma":[0.9899394,0.006886051,0.0006628752,0.0003733244,0.001078342,0.001060013],"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":[0.0000602714,0.000073537,0.0005444278,0.000182512,0.00001022934,0.0001621905,0.0004171048,0.000746223,0.0001349988,0.8890989,0.08224298,0.02632666],"study_design_scores_gemma":[0.00005744139,0.00007646762,0.003756927,0.002175434,0.00003528417,0.0004003244,0.002957911,0.0006666149,0.000421423,0.2440731,0.7453146,0.00006445842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003271316,0.03944962,0.001577217,0.5359285,0.003736552,0.00004018721,0.0007868705,0.00004846888,0.4151613],"genre_scores_gemma":[0.1793614,0.1830455,0.006678974,0.3669327,0.01312285,0.0005001986,0.001454495,0.0002090684,0.2486948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05801114,"threshold_uncertainty_score":0.1940666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067160290830563,"score_gpt":0.2981725674990073,"score_spread":0.2875009645907017,"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."}}