{"id":"W6957984448","doi":"10.6068/dp14ba8c2965c31","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Contact with telephone health line in past 12 months (15 years and over), Total, urban-rural status, Both sexes | Units: , 2003. 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; Socioeconomic status; Population; Health statistics; Rural area; Social statistics; Descriptive statistics; Demographic statistics; Population 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":[0.002915003,0.002531067,0.002899875,0.007777867,0.004102473,0.004915184,0.005553529,0.00161403,0.1303957],"category_scores_gemma":[0.02347514,0.001920207,0.002094655,0.04822739,0.000738177,0.002561363,0.00238821,0.003328981,0.07363459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06452966,"about_ca_system_score_gemma":0.1665441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957988,"about_ca_topic_score_gemma":0.9934742,"domain_scores_codex":[0.9948136,0.000385467,0.000606873,0.000603312,0.002481341,0.001109395],"domain_scores_gemma":[0.9568637,0.001816001,0.001038045,0.001207059,0.03694563,0.002129619],"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":[0.00001811079,0.000006110971,0.0005985824,0.0001965464,0.00001171827,0.000005228198,0.00001846912,0.00007291732,0.000006230941,0.000244791,0.9973122,0.001509218],"study_design_scores_gemma":[0.0001697565,0.00001268027,0.02318494,0.0009097473,0.00006404349,0.00002527746,0.0004878179,0.0003603974,0.0001277691,0.0006633737,0.9739046,0.00008966801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004290172,0.00005538204,0.00002499213,0.0001422215,0.00003051328,0.000018905,0.9983877,0.0000585317,0.001238902],"genre_scores_gemma":[0.0009630129,0.0004239229,0.0006579863,0.0002866219,0.00002387924,0.0002001023,0.9908723,0.0001694126,0.006402718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303957,"threshold_uncertainty_score":0.4681977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650305464179537,"score_gpt":0.2560595359437686,"score_spread":0.2295564813019732,"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."}}