{"id":"W6957880401","doi":"10.6068/dp14ba84e2c4a74","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: Injuries in past 12 months, did not seek medical attention, Urban, Males | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Socioeconomic status; Social statistics; Rural area; Population statistics; Demographic statistics; Health statistics","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":[0.002603749,0.00247534,0.002731569,0.008236744,0.004086534,0.004815494,0.005589946,0.001684388,0.1499836],"category_scores_gemma":[0.02393419,0.001822911,0.002101635,0.04580244,0.0007192776,0.002769502,0.002594686,0.00321264,0.08440585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05914954,"about_ca_system_score_gemma":0.1543007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946015,"about_ca_topic_score_gemma":0.9919758,"domain_scores_codex":[0.995055,0.0003208311,0.0005835125,0.0005922639,0.002362818,0.001085691],"domain_scores_gemma":[0.9556702,0.001765635,0.001056656,0.001221032,0.03818119,0.002105317],"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":[0.00001507072,0.00000514296,0.0005790067,0.0001970546,0.00001003113,0.000004536881,0.00001653702,0.00006253201,0.000005839782,0.0002173198,0.9975555,0.001331438],"study_design_scores_gemma":[0.0001534288,0.00001129875,0.02158097,0.0009413142,0.00005501806,0.00002383306,0.000456069,0.0002936022,0.0001191749,0.00060714,0.9756759,0.00008214634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003395568,0.00004215456,0.00001820183,0.0001130771,0.0000264192,0.00001769697,0.9986396,0.00004863825,0.001060193],"genre_scores_gemma":[0.0007175985,0.0003287333,0.0004447345,0.0002335338,0.00002126002,0.0001824425,0.9928236,0.0001367596,0.005111212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1499836,"threshold_uncertainty_score":0.5017452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356839409224337,"score_gpt":0.2625345935818494,"score_spread":0.2289661994896061,"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."}}