{"id":"W6958134988","doi":"10.6068/dp14ba8bbf85b32","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: Patient satisfaction, received health care services in past 12 months (15 years and over), Urban, Both sexes | 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; Socioeconomic status; Population; Rural area; Health statistics; Population statistics; Community health; Health care","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":[0.003089634,0.002494545,0.00289423,0.0082214,0.004257869,0.005132793,0.005568993,0.001632762,0.128142],"category_scores_gemma":[0.02615933,0.001875669,0.002161863,0.05038206,0.0007406489,0.002562049,0.002389877,0.003274859,0.07290623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06552266,"about_ca_system_score_gemma":0.1650156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995286,"about_ca_topic_score_gemma":0.9926742,"domain_scores_codex":[0.9944418,0.0004070097,0.0006818399,0.0006279076,0.002675574,0.00116574],"domain_scores_gemma":[0.9496049,0.002179226,0.001202874,0.001392381,0.04337824,0.002242442],"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":[0.00001752654,0.000006144858,0.0006343055,0.000195231,0.00001144696,0.000004887245,0.0000181605,0.00007230058,0.000006039364,0.0002326416,0.9974,0.001401294],"study_design_scores_gemma":[0.0001810454,0.00001208184,0.02366695,0.0009351707,0.00006377635,0.00002401821,0.0004986626,0.0003691379,0.0001313126,0.0006488082,0.9733772,0.00009171594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003927429,0.00004315774,0.00002052791,0.0001253919,0.00002521429,0.00001813644,0.9986191,0.0000524973,0.001056791],"genre_scores_gemma":[0.0008568619,0.0003436825,0.0005682081,0.0002444494,0.00002137408,0.0002099036,0.9924779,0.0001513547,0.005126261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.128142,"threshold_uncertainty_score":0.4754024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260447687283519,"score_gpt":0.2510712435786377,"score_spread":0.2284667667058025,"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."}}