{"id":"W6976775719","doi":"10.6068/dp14ba8b3a67c42","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: Without high blood pressure, Urban 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; American Community Survey; Official statistics; Population; Socioeconomic status; Rural area; Population statistics; Demographic statistics; Metropolitan area","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":[0.002736671,0.002457764,0.002772846,0.008040323,0.004167265,0.005099337,0.005544903,0.001597566,0.1285568],"category_scores_gemma":[0.02356198,0.001831894,0.002146584,0.04861384,0.0007558362,0.002554371,0.002455143,0.003259207,0.07290562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06349926,"about_ca_system_score_gemma":0.1586434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956362,"about_ca_topic_score_gemma":0.9932616,"domain_scores_codex":[0.9950211,0.0003529229,0.0005783784,0.0005927898,0.002347417,0.001107402],"domain_scores_gemma":[0.9564845,0.001806263,0.001027012,0.001287179,0.03731071,0.002084458],"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":[0.00001847929,0.00000585215,0.0006783243,0.0001965918,0.00001234854,0.000005516556,0.00001904622,0.00007306964,0.000006680008,0.0002537167,0.9972067,0.001523616],"study_design_scores_gemma":[0.0001593762,0.00001179234,0.02294084,0.000898129,0.00006412449,0.00002593667,0.0004834179,0.0003567604,0.0001346387,0.0006623882,0.9741743,0.00008835434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004076968,0.00004981927,0.00002159213,0.0001280299,0.00002752069,0.00001611457,0.998616,0.00005382938,0.001046302],"genre_scores_gemma":[0.0009062759,0.000377056,0.0005841856,0.0002444138,0.0000220201,0.0001782328,0.992072,0.0001501171,0.005465695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1285568,"threshold_uncertainty_score":0.4607216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392363586934881,"score_gpt":0.260433328742523,"score_spread":0.2211969700490349,"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."}}