{"id":"W6920304868","doi":"10.6068/dp14ba864c2dc15","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Drinking frequency, not stated, Secondary urban core, Males | Units: , 2003. 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; General Social Survey; Social statistics; 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":[0.002899101,0.00249492,0.003071786,0.007231312,0.003827402,0.004844065,0.005706354,0.001740495,0.1407435],"category_scores_gemma":[0.02439757,0.001971952,0.002438996,0.04394273,0.0007162205,0.002503532,0.002478361,0.003510227,0.08426181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05492506,"about_ca_system_score_gemma":0.1337547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940982,"about_ca_topic_score_gemma":0.9916307,"domain_scores_codex":[0.9951928,0.0003889947,0.0005668098,0.0005746441,0.002238217,0.001038536],"domain_scores_gemma":[0.9592519,0.002084983,0.001039746,0.001293532,0.03423662,0.002093058],"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":[0.00001717043,0.00000574262,0.0005516623,0.0002204143,0.00001214447,0.000004405708,0.00001575497,0.00007152653,0.000005750775,0.0001990197,0.9976715,0.001224892],"study_design_scores_gemma":[0.0002253029,0.00001329346,0.02176225,0.00104285,0.00007358845,0.00002521017,0.0004619426,0.000392587,0.0001320411,0.0006960036,0.9750766,0.00009847101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002773056,0.00003908611,0.00001805854,0.0001079692,0.00002319126,0.00001485514,0.9989427,0.00004827158,0.0007780925],"genre_scores_gemma":[0.0006922363,0.0002896837,0.0004870446,0.0002224936,0.00001892202,0.000179038,0.9941645,0.00013005,0.003815988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1407435,"threshold_uncertainty_score":0.4708338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784769002161528,"score_gpt":0.2834662293876845,"score_spread":0.2356185393660692,"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."}}