{"id":"W6957698156","doi":"10.6068/dp1530adb547e40","title":"Most Recent Data (2002). Statistics Canada. CANSIM: Health - Mental Health and Well-Being | Country: Canada | Table: Mental Health and Well-being profile, Canadian Community Health Survey (CCHS), by age group and sex | Variable: 25 to 64 years, Barriers accessing mental health services encountered due to availability issues, Females | Units: , 2002. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-115.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Census; Official statistics; Summary statistics; Health statistics; Socioeconomic status; Economic statistics; General Social Survey; Mental illness","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":[0.003040836,0.002562639,0.002794649,0.007865535,0.004113463,0.005155173,0.005676447,0.001812347,0.1386983],"category_scores_gemma":[0.0257986,0.001936707,0.002559223,0.04272865,0.0007261473,0.002626185,0.002599478,0.003427548,0.07022561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0576275,"about_ca_system_score_gemma":0.1447763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943591,"about_ca_topic_score_gemma":0.9920518,"domain_scores_codex":[0.994921,0.0003715096,0.0006094998,0.0005474839,0.002424465,0.001125919],"domain_scores_gemma":[0.9500746,0.002212692,0.001180698,0.001368001,0.04285171,0.00231231],"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":[0.00002137098,0.000007018458,0.0008388611,0.0002829508,0.00001561427,0.000004824613,0.00001921705,0.00008351481,0.000007180984,0.0002418539,0.9969969,0.001480618],"study_design_scores_gemma":[0.0002255845,0.00001579985,0.02860126,0.001196574,0.00008078833,0.00002892059,0.0005472061,0.0003768281,0.0001516423,0.0007029721,0.9679673,0.0001052508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003651875,0.00004151279,0.00001807861,0.0001153009,0.00002743095,0.00001883984,0.9988735,0.00004523769,0.0008235104],"genre_scores_gemma":[0.0007915581,0.0003183407,0.0004600595,0.0002223406,0.00002397224,0.0002071974,0.9936771,0.0001262971,0.004173066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1386983,"threshold_uncertainty_score":0.463992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190073647036482,"score_gpt":0.2836127206547498,"score_spread":0.261711984184385,"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."}}