{"id":"W189039876","doi":"","title":"Risk Assessment & Reduction A Machine Safety Case Study From Quebec","year":2007,"lang":"en","type":"article","venue":"Professional safety","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Reduction (mathematics); Risk assessment; Business; Risk analysis (engineering); Environmental health; Computer science; Medicine; Computer security; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001165736,0.0004040874,0.0002962668,0.001411774,0.004180461,0.001471,0.001024746,0.001930499,0.00430843],"category_scores_gemma":[0.002933564,0.0002320738,0.0004145275,0.001370429,0.0008424573,0.0005140983,0.0006524909,0.0008248098,0.000331423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01721575,"about_ca_system_score_gemma":0.01112377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.931491,"about_ca_topic_score_gemma":0.9622846,"domain_scores_codex":[0.9989085,0.000309123,0.00003621507,0.00009480899,0.0004154064,0.000236029],"domain_scores_gemma":[0.997273,0.001076952,0.0001172639,0.0001079034,0.001220899,0.0002039534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.002026803,0.00395172,0.3344149,0.0008739308,0.0004454714,0.07117317,0.0334923,0.1931407,0.025435,0.02218599,0.03707512,0.2757849],"study_design_scores_gemma":[0.0005078196,0.002665676,0.4545388,0.0005370057,0.0004521132,0.009100985,0.08713893,0.2850063,0.01678111,0.004427104,0.1385105,0.000333638],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629642,0.0003410057,0.00492422,0.00117425,0.00002111647,0.0002763158,0.000631526,0.00009330787,0.02957396],"genre_scores_gemma":[0.9733087,0.0002682221,0.005024886,0.0001498764,0.000007089141,0.00004389581,0.0003538166,0.00002830974,0.02081525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06850904,"threshold_uncertainty_score":0.137825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04815147386998434,"score_gpt":0.4293841706235735,"score_spread":0.3812326967535892,"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."}}