{"id":"W6976498872","doi":"10.6068/dp15f985c591760","title":"Trend 2002 - 2012. Statistics Canada. CANSIM: Health - Mental Health and Well-Being | Country: Canada | Table: 105-1101 | Table Name: Mental Health Profile, Canadian Community Health Survey - Mental Health (CCHS), by age group and sex | Variable: 65 years and over-Perceived need for mental health care, needs partially met-Both sexes-High 95% confidence interval, number of persons | Units: High 95% confidence interval, number of persons, 2002-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-115.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Census; Health statistics; Summary statistics; Descriptive statistics; Official statistics; Table (database); Public health; Confidence interval","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":[0.002625357,0.002594064,0.003075614,0.00789585,0.003229429,0.005164087,0.005461149,0.001838652,0.1209854],"category_scores_gemma":[0.02530633,0.001943777,0.002758657,0.0380886,0.0006577728,0.002459779,0.002763978,0.003479917,0.05766624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04749639,"about_ca_system_score_gemma":0.1281877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937926,"about_ca_topic_score_gemma":0.9916224,"domain_scores_codex":[0.9960433,0.000339966,0.0005047044,0.0004959031,0.001718738,0.0008973121],"domain_scores_gemma":[0.9637867,0.001858691,0.001045957,0.001176348,0.03021443,0.001917893],"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":[0.00002517402,0.00000593708,0.0008246616,0.0002897707,0.00002538858,0.000004840535,0.00001840579,0.00009116049,0.000005894996,0.0002909784,0.9968417,0.001576085],"study_design_scores_gemma":[0.0003108955,0.00001822461,0.02782005,0.001488038,0.000117902,0.00003569897,0.0005617776,0.0006075915,0.00015908,0.00098723,0.9677638,0.0001295594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003819945,0.00005366957,0.00002325869,0.0001511202,0.00003153378,0.00001699134,0.9989032,0.00006226153,0.0007198513],"genre_scores_gemma":[0.0009109968,0.0003541509,0.000440889,0.0002470712,0.00002652952,0.0001927743,0.9942243,0.0001330473,0.003470297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1209854,"threshold_uncertainty_score":0.4047366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302584951536417,"score_gpt":0.2957941985760853,"score_spread":0.2727683490607211,"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."}}