{"id":"W6920353488","doi":"10.6068/dp14ba8eafb972","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: Contact with health professionals about mental health in past 12 months, not stated, Total, urban-rural status, Both sexes | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Official statistics; Census; Health statistics; Economic statistics; Social statistics; Community health; General Social Survey; Summary 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":[0.00286881,0.00256481,0.003053038,0.007236456,0.003767557,0.0048393,0.005958089,0.001785702,0.1372179],"category_scores_gemma":[0.02496639,0.001994686,0.002254373,0.04451033,0.0007180051,0.002556261,0.00258992,0.003383651,0.08110475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05415567,"about_ca_system_score_gemma":0.1285716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993745,"about_ca_topic_score_gemma":0.9914582,"domain_scores_codex":[0.9953898,0.0003757374,0.0005624469,0.0005611846,0.002114689,0.0009961252],"domain_scores_gemma":[0.9599379,0.002142135,0.001056417,0.001272767,0.03350633,0.002084475],"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":[0.00001633994,0.000005764939,0.0005676626,0.0002107777,0.00001186224,0.000004008944,0.0000161275,0.00007251678,0.000005139682,0.0001867979,0.9977663,0.001136697],"study_design_scores_gemma":[0.0002606428,0.00001446204,0.02505888,0.001087705,0.00007626577,0.00002531167,0.0005213144,0.000443638,0.0001334803,0.000737761,0.9715365,0.0001039969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002780908,0.00003065496,0.00001468788,0.0000960449,0.00001853069,0.00001301698,0.9991121,0.00004035529,0.0006469017],"genre_scores_gemma":[0.0005915737,0.0002227006,0.0003721788,0.0001894305,0.00001613706,0.0001644728,0.9951872,0.0000997828,0.003156588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1372179,"threshold_uncertainty_score":0.4590396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163791485989594,"score_gpt":0.2910455543021386,"score_spread":0.2594076394422427,"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."}}