{"id":"W2971484816","doi":"10.9778/cmajo.20190079","title":"Association between neighbourhood socioeconomic features and residential fire incidence, related casualties and children: a cross-sectional population-based study in 4 Canadian provinces","year":2019,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Neighbourhood (mathematics); Geography; Cross-sectional study; Demography; Incidence (geometry); Environmental health; Association (psychology); Population; Medicine; Psychology; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485613,0.0001029207,0.000288072,0.0001312559,0.0002031254,0.0001004587,0.00008167959,0.0002380712,0.0003388177],"category_scores_gemma":[0.000244677,0.0001002629,0.00002724799,0.00006047283,0.00002452486,0.0003059164,0.0000479815,0.0002742355,0.00001984399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640064,"about_ca_system_score_gemma":0.0003922457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5942099,"about_ca_topic_score_gemma":0.5570287,"domain_scores_codex":[0.9988452,0.0002394229,0.0003298946,0.0002944444,0.00008699693,0.0002040425],"domain_scores_gemma":[0.9993725,0.0002025874,0.0001842609,0.0001096733,0.00003791359,0.0000929964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008825614,0.00002035058,0.9989541,0.00001286441,0.00009739886,0.000002218394,0.0002508297,0.00001967198,0.00000252946,0.00005189573,0.0001510248,0.0003488218],"study_design_scores_gemma":[0.00163579,0.0002333324,0.9971001,0.00003356634,0.00005454604,0.000007251164,0.00007449129,0.00007443204,0.000004475997,0.0006689411,0.000009761474,0.0001033619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970043,0.000127997,2.667437e-7,0.000707263,0.0001296427,0.001507811,0.00003514039,0.00001201437,0.0004755513],"genre_scores_gemma":[0.9977255,0.000004934177,0.0000345812,0.0001669844,0.00007893748,0.00002855182,0.0002817265,0.00000924222,0.001669543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03718128,"threshold_uncertainty_score":0.4510544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353713361371865,"score_gpt":0.3285296769395861,"score_spread":0.3149925433258674,"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."}}