{"id":"W6958200118","doi":"10.6068/dp14ba8d1e8ea56","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: Life stress, not stated (18 years and over), Rural area outside census metropolitan area and census agglomeration, Males | 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; Population; Rural area; Socioeconomic status; American Community Survey; Population statistics; Social statistics; Demographic 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":[0.002889392,0.002472057,0.002835555,0.007891394,0.004154024,0.004937545,0.005557032,0.001551443,0.1358407],"category_scores_gemma":[0.02315666,0.001932792,0.002135288,0.04877909,0.0007213442,0.002540997,0.002421421,0.003241278,0.0740329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06758466,"about_ca_system_score_gemma":0.1703575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996133,"about_ca_topic_score_gemma":0.9939956,"domain_scores_codex":[0.994758,0.0003809183,0.0006126441,0.0005865569,0.002517876,0.001144074],"domain_scores_gemma":[0.9540765,0.001859989,0.001062819,0.001209063,0.0395698,0.002221743],"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":[0.00001866894,0.000006272089,0.0006683958,0.0002038921,0.00001194876,0.000005435723,0.0000206732,0.00007309247,0.00000651709,0.0002506818,0.9970627,0.001671766],"study_design_scores_gemma":[0.0001702915,0.00001329004,0.02683713,0.0009409327,0.00006764053,0.00002686473,0.0005480556,0.0003805076,0.0001348673,0.0006632595,0.9701229,0.00009425088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004783653,0.00005865069,0.00002588828,0.0001523279,0.00003135563,0.00002030284,0.9982874,0.00006083975,0.001315286],"genre_scores_gemma":[0.001073985,0.0004646579,0.0006989628,0.0002932102,0.00002504832,0.0002223731,0.9896834,0.000180052,0.007358311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1358407,"threshold_uncertainty_score":0.4903634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788063280541076,"score_gpt":0.2709858561737957,"score_spread":0.2231052233683849,"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."}}