{"id":"W6966976443","doi":"10.4224/40001930","title":"Niveau 2: Outil de sélection semi-quantitatif (OSSQ) en fonction des risques sismiques pour les bâtiments existants. Partie 1: guide d'utilisation","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":"Historical heritage; Urban environment; Secondary education","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":[0.01340138,0.002368737,0.001604892,0.005776803,0.0009480959,0.004092945,0.001645164,0.001096266,0.01236894],"category_scores_gemma":[0.04264032,0.0009062043,0.002109577,0.002720216,0.0007413229,0.001908617,0.001981392,0.001371051,0.004640641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558839,"about_ca_system_score_gemma":0.002595797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078922,"about_ca_topic_score_gemma":0.01002035,"domain_scores_codex":[0.9905945,0.002797587,0.0008559208,0.001460015,0.003924344,0.0003676703],"domain_scores_gemma":[0.9663904,0.01994371,0.001429064,0.001817671,0.01001859,0.0004004694],"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":[0.001496118,0.0006189626,0.1767022,0.003290946,0.0007179133,0.0002741603,0.007116512,0.02306206,0.0358694,0.0076246,0.01266216,0.7305648],"study_design_scores_gemma":[0.0003263455,0.003425636,0.4469082,0.002015814,0.0007607556,0.0009848797,0.01013017,0.2457538,0.135315,0.01660807,0.1370403,0.0007310013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2356668,0.001510709,0.7116623,0.0004394242,0.0002519854,0.002498191,0.01000472,0.01343017,0.02453578],"genre_scores_gemma":[0.3634117,0.0003743583,0.6096496,0.0001577053,0.0000423505,0.003612266,0.006695798,0.001414043,0.01464225],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9892108,"threshold_uncertainty_score":0.07087409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102787949346767,"score_gpt":0.3487430630385662,"score_spread":0.2459551136917991,"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."}}