{"id":"W6976295974","doi":"10.6068/dp14ba89c511a90","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: Total population for the variable injuries, Total, urban-rural status, Males | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-114.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Psychology, Coaching, and Therapy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Socioeconomic status; Census; Social statistics; Population; Economic statistics; Health statistics; Population statistics; Community health","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":[0.002860463,0.002483973,0.002865266,0.007598232,0.00381602,0.004654911,0.005606346,0.001767287,0.1499847],"category_scores_gemma":[0.02512217,0.002006739,0.002371103,0.04439444,0.0006844935,0.002611362,0.002575737,0.003418462,0.08469377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05526258,"about_ca_system_score_gemma":0.1384761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937041,"about_ca_topic_score_gemma":0.9910129,"domain_scores_codex":[0.994902,0.0003814387,0.0006010896,0.0005688924,0.002488829,0.001057759],"domain_scores_gemma":[0.9556795,0.002087643,0.001014916,0.001237073,0.03789139,0.002089333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001514031,0.000005540382,0.0005193328,0.0002207107,0.00001080578,0.000004203575,0.00001495799,0.00006942157,0.000005484463,0.0001996317,0.997589,0.001345859],"study_design_scores_gemma":[0.0002065079,0.00001309317,0.02286742,0.00107961,0.00007015893,0.00002375968,0.0004464555,0.0003631071,0.0001264068,0.0006901065,0.9740179,0.00009551219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002818773,0.00003839476,0.00001847696,0.0001146438,0.00002432988,0.0000172257,0.9988008,0.0000495837,0.000908427],"genre_scores_gemma":[0.000636676,0.0002945385,0.00048182,0.000233706,0.00001895044,0.0001928073,0.9936986,0.0001272362,0.004315696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1499847,"threshold_uncertainty_score":0.5017487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04497592122449071,"score_gpt":0.3176352982323659,"score_spread":0.2726593770078752,"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."}}