{"id":"W6910320967","doi":"10.4224/40001924","title":"Niveau 1: Outil de sélection préliminaire en fonction des risques sismiques (OSP) pour les bâtiments existants. Partie 2: documentation technique à l'appui","year":2020,"lang":"fr","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Electrocution; Multispectral Scanner; Statistical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004172185,0.001628878,0.0009600116,0.004163072,0.000632987,0.001979638,0.00103205,0.0009495993,0.0194902],"category_scores_gemma":[0.01462624,0.0005109215,0.001647931,0.002197115,0.0003516264,0.001119553,0.0007354183,0.0008394135,0.006926168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286085,"about_ca_system_score_gemma":0.001809213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02763328,"about_ca_topic_score_gemma":0.02791223,"domain_scores_codex":[0.9979209,0.0004487161,0.0001793743,0.0004321945,0.000853831,0.0001650518],"domain_scores_gemma":[0.986629,0.006875779,0.0005819809,0.0006108019,0.005070338,0.0002320574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002428279,0.0008264426,0.3735682,0.005242749,0.0008113185,0.0005631384,0.005104374,0.02947347,0.04644726,0.003152557,0.04465326,0.4877289],"study_design_scores_gemma":[0.0001273809,0.002398744,0.779315,0.001341267,0.0007443721,0.0008147933,0.007936248,0.04064183,0.07340628,0.002855038,0.09008066,0.0003384486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6738217,0.003367051,0.1847383,0.0007377437,0.0003846017,0.002138598,0.06934348,0.009393435,0.05607505],"genre_scores_gemma":[0.7564639,0.001505557,0.1492278,0.0002318519,0.00007737309,0.002409786,0.04334119,0.00106195,0.04568058],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02763328,"threshold_uncertainty_score":0.06520128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06143910951221181,"score_gpt":0.3360128272663329,"score_spread":0.274573717754121,"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."}}