{"id":"W6976855681","doi":"10.6068/dp14ba85662a063","title":"Most Recent Data (2001). Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Settings for which individuals reported unmet needs for health information or advice or health care services, household population aged 15 and over | Variable: Health information or advice, Setting, unmet needs, other settings | Units: # Persons, 2001. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health statistics; Census; Population; Socioeconomic status; Health policy; Official statistics; Descriptive statistics; Medical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01035243,0.002569565,0.004263252,0.001289001,0.002299743,0.001657152,0.004586114,0.001113007,0.0007464389],"category_scores_gemma":[0.0009607514,0.002371483,0.000001379241,0.004816885,0.0001477752,0.005243462,0.001759402,0.002013825,0.00001806377],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00755696,"about_ca_system_score_gemma":0.2335764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997648,"about_ca_topic_score_gemma":0.9996929,"domain_scores_codex":[0.9791458,0.00235395,0.007213611,0.002581759,0.004190407,0.004514491],"domain_scores_gemma":[0.9689749,0.00155558,0.01724318,0.007296907,0.001370758,0.003558664],"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":[0.001542015,0.0001115452,0.0001683882,0.0576212,0.0007058569,0.00001516225,0.00101141,0.0001685203,4.725745e-8,0.00005622619,0.937135,0.001464599],"study_design_scores_gemma":[0.005662472,0.001162347,0.00002546265,0.001610272,0.0004852152,0.0003501769,0.03421521,0.01178318,6.013404e-9,1.212398e-7,0.942551,0.002154529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[9.246185e-7,0.007545886,0.0001032198,0.0006330189,0.001212192,0.01281601,0.9766836,0.0008904196,0.0001147318],"genre_scores_gemma":[0.000002510016,0.004233487,0.01080682,0.065802,0.0004858853,0.0002737183,0.9168879,0.001047099,0.0004605693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2260195,"threshold_uncertainty_score":0.9993792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697788664468723,"score_gpt":0.2902652482354597,"score_spread":0.2632873615907725,"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."}}