{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003394472,0.001109843,0.001435889,0.00009025016,0.001843008,0.001055205,0.008789605,0.000526685,0.0004772337],"category_scores_gemma":[0.0004705919,0.001133577,2.146944e-7,0.0009894808,0.00051604,0.0008903326,0.002652274,0.003767229,0.000005019029],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158771,"about_ca_system_score_gemma":0.2814803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999999,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9899318,0.004146228,0.001285961,0.00126595,0.001608601,0.00176146],"domain_scores_gemma":[0.9867574,0.001610603,0.00120083,0.007939206,0.0007116899,0.001780302],"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":[0.00002621297,0.00009970207,0.0002142617,0.0008502342,0.0005768938,0.00008519175,0.0000131762,0.00001329909,3.634902e-7,0.00005772719,0.9975985,0.0004644],"study_design_scores_gemma":[0.0008512556,0.00008622712,0.00002618005,0.00009230087,0.0003095689,0.0002926847,0.000623277,0.01106686,8.556462e-8,1.769999e-7,0.9855064,0.001145059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001070934,0.006731944,0.00007831929,0.00002403811,0.001536265,0.0008175655,0.9900641,0.0001305243,0.000616111],"genre_scores_gemma":[0.00004543024,0.001639422,0.001079868,0.001696353,0.0001470025,0.00001413924,0.9909345,0.0002020961,0.004241188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2803216,"threshold_uncertainty_score":0.9999818,"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."}}