{"id":"W2913593535","doi":"10.1136/bmj.l640","title":"Dangerous diagnostics? Regulatory reform in the genomic era","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Regulatory reform; Data science; Computer science; Computational biology; Medicine; Political science; Biology; Law","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":[0.1050591,0.0008776677,0.00125029,0.001702529,0.005462395,0.01598661,0.004470716,0.03534297,0.01089594],"category_scores_gemma":[0.2392746,0.0007667124,0.001677786,0.001928189,0.02657802,0.01516131,0.008698732,0.0397623,0.003812438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01264547,"about_ca_system_score_gemma":0.03984251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327272,"about_ca_topic_score_gemma":0.0119824,"domain_scores_codex":[0.9197189,0.04008359,0.003185145,0.004723866,0.02446373,0.007824736],"domain_scores_gemma":[0.7411402,0.1681006,0.01048379,0.01377152,0.04402163,0.02248212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001177787,0.00007719272,0.0008488839,0.0002504519,0.00004996281,0.0002259155,0.001464074,0.0004653723,0.0007443667,0.4018352,0.5526531,0.04126772],"study_design_scores_gemma":[0.0001012622,0.00009897602,0.0008781229,0.0005670385,0.00003280027,0.0001828205,0.001154594,0.0004288814,0.0007676993,0.1922137,0.8034978,0.00007635768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004157526,0.003200849,0.002055238,0.9841898,0.006000285,0.00001187829,0.00003403059,0.0001044789,0.003987645],"genre_scores_gemma":[0.0233447,0.004007331,0.003489333,0.9539661,0.01112252,0.00005519873,0.00008295126,0.0001275329,0.003804338],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1050591,"threshold_uncertainty_score":0.5556124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00977791830750385,"score_gpt":0.2702104135352451,"score_spread":0.2604324952277412,"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."}}