{"id":"W7038341011","doi":"","title":"Fires in Canada originating from smoking materials: analysis of Canadian fire incidents","year":2019,"lang":"en","type":"report","venue":"Arca (British Columbia Electronic Library Network)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Safety Canada; National Foundation for Infectious Diseases","keywords":"Fire safety; Fire investigation; Smoke; Poison control","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001951148,0.000522638,0.002243179,0.0005919464,0.0003397479,0.001809845,0.002309515,0.0004704322,0.2730622],"category_scores_gemma":[0.0004018049,0.0008864218,0.000223084,0.004229234,0.0001682059,0.0009984575,0.0006392793,0.0009306512,0.00002112782],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003787833,"about_ca_system_score_gemma":0.04211851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999563,"about_ca_topic_score_gemma":0.9999797,"domain_scores_codex":[0.9910188,0.0008502626,0.001956942,0.001647478,0.001950662,0.002575872],"domain_scores_gemma":[0.9961243,0.0005787864,0.001609609,0.001141062,0.0001734451,0.000372758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003892504,0.00007713461,0.7552229,0.000504269,0.001003215,0.0009523842,0.0001812926,0.03965307,0.0004586205,0.000284869,0.1968264,0.004796992],"study_design_scores_gemma":[0.002623802,0.0005818798,0.5975965,0.01222936,0.004084236,0.0002819561,0.0003094716,0.03371594,0.002068016,0.02972303,0.3084637,0.00832216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568527,0.003424529,5.208677e-7,0.00007718267,0.0042286,0.0007381069,0.002593014,0.000112561,0.03197282],"genre_scores_gemma":[0.9903634,0.002385369,0.0003987345,0.0002926167,0.0007885934,0.00009099231,0.002632273,0.0001641039,0.002883894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.273041,"threshold_uncertainty_score":0.9993587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008108002697473096,"score_gpt":0.207474557769823,"score_spread":0.1993665550723499,"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."}}