{"id":"W6976823823","doi":"10.6068/dp14ba828127d49","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: Moderate pain or discomfort, Total, urban-rural status, Males | 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; Socioeconomic status; Population; Rural area; Population statistics; Health statistics; Economic 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":[0.002618351,0.002439832,0.002659296,0.008044336,0.004068621,0.004883902,0.005284606,0.0015965,0.1425483],"category_scores_gemma":[0.02227876,0.001821931,0.002040469,0.046804,0.0007159673,0.002633094,0.002520553,0.003263698,0.08097424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06201122,"about_ca_system_score_gemma":0.1583912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952225,"about_ca_topic_score_gemma":0.9926798,"domain_scores_codex":[0.9950316,0.0003241106,0.0005741239,0.0005621791,0.002405391,0.001102502],"domain_scores_gemma":[0.9571312,0.001585713,0.0009809034,0.001104331,0.03713974,0.002058069],"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":[0.00001633435,0.00000580267,0.000625267,0.0002094315,0.00001062042,0.0000050844,0.00001881728,0.00006676486,0.000006651626,0.0002382647,0.9971977,0.001599198],"study_design_scores_gemma":[0.0001449757,0.00001163053,0.02388557,0.0009026183,0.00005727772,0.00002419767,0.0004848069,0.0002863777,0.0001206011,0.0005790656,0.9734196,0.00008326026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315748,0.00005609938,0.00002324504,0.0001340192,0.00003135219,0.00002049379,0.998276,0.0000561565,0.001359465],"genre_scores_gemma":[0.0008862992,0.0004234186,0.000554277,0.0002718745,0.00002490728,0.0001996283,0.9907607,0.0001557957,0.006723188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1425483,"threshold_uncertainty_score":0.4768716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341580304572457,"score_gpt":0.2664254280914427,"score_spread":0.2230096250457181,"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."}}