{"id":"W6901652441","doi":"10.6068/dp14ba8de5ed066","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, very or somewhat satisfied with health care services received (15 years and over), Urban fringe, 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; 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":[0.002986718,0.002556051,0.002930705,0.008346763,0.004298492,0.005171128,0.005657478,0.001672995,0.1279778],"category_scores_gemma":[0.02593592,0.001919157,0.00216789,0.05055302,0.0007566105,0.002547664,0.00244974,0.003318172,0.07127657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06731369,"about_ca_system_score_gemma":0.1694222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959102,"about_ca_topic_score_gemma":0.9936135,"domain_scores_codex":[0.9945306,0.000391694,0.0006855026,0.0006376627,0.002583857,0.00117074],"domain_scores_gemma":[0.9513166,0.002164096,0.001219612,0.001341539,0.04165807,0.002300125],"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":[0.00001809709,0.000005949911,0.0006176835,0.0002031682,0.00001175287,0.000004841471,0.00001826149,0.00006980423,0.000005871268,0.0002294886,0.9974976,0.001317383],"study_design_scores_gemma":[0.0002052875,0.00001320429,0.02566078,0.001009435,0.00007037475,0.00002630392,0.0005339822,0.0003988876,0.0001392383,0.0006756965,0.9711663,0.0001005584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003816792,0.00004336743,0.00001916192,0.0001261188,0.00002423395,0.00001641641,0.9986832,0.00005010199,0.0009992969],"genre_scores_gemma":[0.0008606287,0.0003440716,0.0005212033,0.0002479278,0.00002050488,0.0001939112,0.992637,0.000139503,0.00503508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1279778,"threshold_uncertainty_score":0.4883973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448665326906519,"score_gpt":0.2509461175571408,"score_spread":0.2264594642880756,"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."}}