{"id":"W6957788305","doi":"10.6068/dp14ba8051df636","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: High blood pressure, not stated, Urban, Females | 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":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Socioeconomic status; Population; Rural area; Demographic statistics; Health statistics; Social 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":[0.002560061,0.002400911,0.002689535,0.007953037,0.004020618,0.005099734,0.005035339,0.001568358,0.1289654],"category_scores_gemma":[0.02168365,0.001893816,0.002036973,0.04657666,0.0007450252,0.00262935,0.002474604,0.003276946,0.07395864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06962207,"about_ca_system_score_gemma":0.17862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961732,"about_ca_topic_score_gemma":0.9939587,"domain_scores_codex":[0.9947587,0.0003374271,0.0005797494,0.0005661299,0.002571946,0.001185972],"domain_scores_gemma":[0.9578611,0.001562423,0.001011467,0.00105681,0.03635128,0.002156977],"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":[0.00001722599,0.000005953876,0.0006719865,0.0002077199,0.00001120807,0.000005283895,0.00001926256,0.00007098831,0.000006517904,0.0002660591,0.9970959,0.001621948],"study_design_scores_gemma":[0.0001537853,0.00001269861,0.02530562,0.0009183822,0.00006315736,0.00002644817,0.0005267665,0.0003325009,0.0001332231,0.0005983441,0.9718394,0.0000896081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004985049,0.00006803423,0.00002632242,0.0001642097,0.00003731479,0.00002202713,0.9979722,0.00006345214,0.001596559],"genre_scores_gemma":[0.001206157,0.0005692996,0.000689445,0.0003385232,0.00003001323,0.0002127582,0.9879251,0.0001871297,0.008841618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289654,"threshold_uncertainty_score":0.5051458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326814197938022,"score_gpt":0.245754745931269,"score_spread":0.2130733261374668,"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."}}