{"id":"W4382133026","doi":"10.1007/s00439-023-02576-8","title":"Regulating cancer risk prediction: legal considerations and stakeholder perspectives on the Canadian context","year":2023,"lang":"en","type":"article","venue":"Human Genetics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache; Université Laval; University of Ottawa; McGill University","funders":"Government of Canada; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec; Génome Québec; Genome Canada","keywords":"Stakeholder; Context (archaeology); Risk analysis (engineering); Risk governance; Modalities; Normative; Risk assessment; Risk management; Business; Biology; Computer science; Public relations; Political science; Sociology; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02782753,0.0003722356,0.0004860654,0.002066249,0.02531763,0.01444449,0.002274066,0.004663688,0.003324552],"category_scores_gemma":[0.05456975,0.0003844588,0.0005914893,0.003753837,0.01941118,0.003597819,0.005024855,0.006507435,0.0001587829],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1564231,"about_ca_system_score_gemma":0.2588511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827907,"about_ca_topic_score_gemma":0.9846076,"domain_scores_codex":[0.9709907,0.009575372,0.0007418297,0.001718892,0.01202193,0.004951277],"domain_scores_gemma":[0.93411,0.03461512,0.002113878,0.001204009,0.02265765,0.005299353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005611371,0.00005831081,0.01765084,0.0002633379,0.0000432843,0.00194652,0.1299093,0.00234006,0.0009871429,0.7641932,0.04293171,0.03962034],"study_design_scores_gemma":[0.00003899546,0.00006203186,0.02925798,0.001752845,0.0001162918,0.0007732325,0.2404556,0.005681221,0.001294477,0.1376395,0.5824655,0.0004623395],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1723384,0.00614716,0.01191097,0.5835891,0.0004502959,0.0001417351,0.0006799923,0.00005529917,0.224687],"genre_scores_gemma":[0.9551229,0.003493702,0.004665931,0.02732517,0.0000950543,0.00004883885,0.000121437,0.0000445706,0.009082384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8435768,"threshold_uncertainty_score":0.9784296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4974666993708627,"score_gpt":0.4096113018163637,"score_spread":0.08785539755449895,"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."}}