{"id":"W2219109485","doi":"","title":"Integrating Values in Risk Analysis of Biomedical Research: The Case for Regulatory and Law Reform (Intégration des Valeurs Dans L'Évaluation Du Risque Lié À La Recherche Biomédicale: Arguments En Faveur D'Une Réforme De La Réglementation Et Du Droit)","year":2006,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Normative; Objectivity (philosophy); Valuation (finance); Risk assessment; Uncertainty; Value (mathematics); Political science; Actuarial science; Law and economics; Business; Sociology; Epistemology; Law; Economics; Computer science; Accounting; Management","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.4396618,0.00216835,0.00479579,0.01145474,0.01625909,0.04932802,0.008047057,0.04962101,0.002329636],"category_scores_gemma":[0.3703941,0.002301153,0.004693897,0.004953905,0.1808538,0.05730752,0.02662018,0.03738161,0.0006258768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03581973,"about_ca_system_score_gemma":0.03801001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005610122,"about_ca_topic_score_gemma":0.003840385,"domain_scores_codex":[0.4808728,0.4143864,0.01545912,0.01491389,0.0640552,0.01031267],"domain_scores_gemma":[0.325327,0.6111408,0.01889656,0.01355187,0.02716463,0.003919076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002958953,0.00001369576,0.0001604983,0.0002003775,0.00003367745,0.0001147012,0.004858262,0.0004519346,0.00006464414,0.9867759,0.001735378,0.005561465],"study_design_scores_gemma":[0.00003617867,0.00003612706,0.0001230265,0.0008147983,0.00003535718,0.0001047113,0.00211731,0.0005613301,0.0001557881,0.9741284,0.02182855,0.00005852223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01138293,0.04968952,0.1049202,0.7749649,0.002812817,0.000317087,0.00004021396,0.00006637443,0.05580598],"genre_scores_gemma":[0.7512238,0.01892209,0.07358669,0.1408683,0.008247447,0.001651334,0.00003473131,0.0002173307,0.005248314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.950379,"threshold_uncertainty_score":0.6909968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08920865851297798,"score_gpt":0.4075411723088525,"score_spread":0.3183325137958745,"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."}}