{"id":"W7014525258","doi":"","title":"Portrait de l'utilisation des produits à base d'acrylates en milieux de travail québécois","year":2006,"lang":"fr","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laryngeal Edema; Information center; Respiratory Hypersensitivity","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":[0.001264972,0.0004716507,0.0004047187,0.002722764,0.001750455,0.002079355,0.0006806915,0.0009558034,0.00984575],"category_scores_gemma":[0.001421912,0.0003240936,0.0005164677,0.00254002,0.0008989555,0.0005974914,0.0004938549,0.0007692149,0.001566511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00537907,"about_ca_system_score_gemma":0.007511001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.570327,"about_ca_topic_score_gemma":0.7266285,"domain_scores_codex":[0.9985708,0.0001670073,0.00006010719,0.0002301223,0.0007805069,0.0001913439],"domain_scores_gemma":[0.9974388,0.000455591,0.0004262393,0.00008667955,0.001380604,0.0002120141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001482309,0.0003365879,0.299534,0.005785226,0.0003011394,0.007922444,0.04441781,0.00183561,0.1970688,0.006982879,0.0236492,0.410684],"study_design_scores_gemma":[0.00001564231,0.0008032668,0.6495071,0.001648649,0.00025217,0.003291176,0.01943287,0.0011179,0.02176297,0.000523167,0.3015003,0.0001448554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343085,0.0393906,0.006121895,0.004893909,0.0002758836,0.0003774312,0.00779014,0.0002443235,0.1065974],"genre_scores_gemma":[0.865921,0.02597701,0.007616969,0.001246237,0.00004817677,0.0001469437,0.002941863,0.00009755551,0.09600418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.429673,"threshold_uncertainty_score":0.8644069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023005526468243,"score_gpt":0.2212507694237507,"score_spread":0.2110207141590682,"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."}}