{"id":"W6981076299","doi":"","title":"Développement d'un outil d'analyse du risque et de catégorisation des interventions en espace clos","year":2016,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clos network; Reinsurance; Vetting; Indemnity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0274058,0.001932557,0.00251319,0.008301186,0.003239529,0.006545429,0.003786531,0.001610067,0.01331747],"category_scores_gemma":[0.04999183,0.0007521348,0.003367899,0.01107297,0.002749712,0.00425907,0.004783394,0.002851978,0.001128304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04735,"about_ca_system_score_gemma":0.0702288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.726844,"about_ca_topic_score_gemma":0.7645933,"domain_scores_codex":[0.9860619,0.007127982,0.0009267305,0.001529309,0.003200697,0.001153377],"domain_scores_gemma":[0.9335438,0.02459614,0.005446938,0.002767272,0.03147329,0.002172469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009282404,0.0007289842,0.2730382,0.03017892,0.003333814,0.0003837038,0.07632404,0.004811289,0.001429722,0.03446207,0.05767988,0.5167011],"study_design_scores_gemma":[0.0002715061,0.001305117,0.6451876,0.03998023,0.003436232,0.000179528,0.07372868,0.009172956,0.002131108,0.01474784,0.209428,0.0004312066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4702865,0.08995963,0.1746161,0.0347177,0.002861245,0.02120918,0.08730663,0.001337601,0.1177055],"genre_scores_gemma":[0.7094386,0.02868741,0.1699986,0.007733629,0.0003566063,0.02941637,0.02680199,0.0005758037,0.02699099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.726844,"threshold_uncertainty_score":0.5495294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767917337131329,"score_gpt":0.2903853429562632,"score_spread":0.2627061695849499,"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."}}