{"id":"W2965777522","doi":"10.7202/1062463ar","title":"Analyse régulationniste des incertitudes : de l’assurance au principe de précaution","year":2019,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002767016,0.000321886,0.0003625002,0.0001838786,0.0008591012,0.0003332583,0.000364276,0.0003077054,0.001277165],"category_scores_gemma":[0.0004215541,0.0003418722,0.0002104677,0.0008442837,0.001286221,0.001792364,0.00007053636,0.0002941611,0.0006274406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409631,"about_ca_system_score_gemma":0.0005793227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01790011,"about_ca_topic_score_gemma":0.04521625,"domain_scores_codex":[0.9960515,0.001442699,0.0005157987,0.0005285427,0.0005941047,0.0008673799],"domain_scores_gemma":[0.9984351,0.0003415673,0.0003033008,0.000333432,0.0003076065,0.0002789584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001200069,0.0004035558,0.5369689,0.0007303593,0.0002471278,0.00001294204,0.04428207,0.1569275,0.001197529,0.04848144,0.006388898,0.2042396],"study_design_scores_gemma":[0.0003944919,0.0001328442,0.8288218,0.000668381,0.0001329326,0.000007154457,0.002909756,0.01686184,0.0002089519,0.01268757,0.1367586,0.0004156937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688269,0.002932627,0.01239333,0.01691334,0.001091037,0.0005791101,0.00002116228,0.0002775891,0.09696496],"genre_scores_gemma":[0.9472553,0.01366873,0.008525314,0.0003843291,0.0003986827,0.00006915344,0.00002173742,0.0000299388,0.02964688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918529,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559947755918298,"score_gpt":0.3413101952385967,"score_spread":0.2957107176794138,"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."}}