{"id":"W6920218557","doi":"10.6068/dp14ba7f8b5da80","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: No risk of depression, Urban, Both sexes | 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; Rural area; Demographic statistics; Population statistics; American Community Survey","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":[0.0027273,0.002396919,0.002783501,0.008173065,0.003880261,0.004976598,0.005483418,0.001671673,0.1359455],"category_scores_gemma":[0.02292091,0.001931199,0.002099266,0.0463344,0.0007306134,0.002640094,0.002593369,0.003400901,0.07463223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06648302,"about_ca_system_score_gemma":0.168565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954376,"about_ca_topic_score_gemma":0.9931396,"domain_scores_codex":[0.99479,0.0003524066,0.0006043723,0.000553227,0.002540681,0.001159476],"domain_scores_gemma":[0.9556164,0.001685374,0.001102114,0.001128017,0.03819935,0.002268772],"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":[0.00001677319,0.000006168445,0.0006429841,0.0002120422,0.00001137757,0.000005104719,0.00001841477,0.00006866992,0.000006241347,0.0002431597,0.9972606,0.001508507],"study_design_scores_gemma":[0.0001733397,0.00001336875,0.02631067,0.001002712,0.00006573112,0.00002753412,0.0005472834,0.000343698,0.0001316632,0.0006535712,0.9706367,0.00009377016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004492501,0.00005729902,0.00002320941,0.0001497038,0.00003352204,0.00002159894,0.9983175,0.00005606021,0.001296228],"genre_scores_gemma":[0.001027677,0.0004656321,0.000604313,0.0003046281,0.00002742207,0.0002227583,0.990004,0.0001606308,0.007182851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359455,"threshold_uncertainty_score":0.4823703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022378182805483,"score_gpt":0.2576544846072154,"score_spread":0.2274307027791605,"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."}}