{"id":"W6938917502","doi":"10.6068/dp14ba88c765082","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - Prevention and Detection of Disease | Country: Canada | Table: Functional health status, by age group and sex, household population aged 4 years and over | Variable: 20-34 years, Moderate or severe functional health problems, Females | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-117.","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; Public health; Official statistics; Population; Socioeconomic status; Health statistics; Health care; Disease","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":[0.00266384,0.002418798,0.002939991,0.007041989,0.003219526,0.004344962,0.00577086,0.001629176,0.09290812],"category_scores_gemma":[0.02256666,0.001824186,0.002507519,0.03198535,0.0006269233,0.002074452,0.002147413,0.003271208,0.04694556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05351225,"about_ca_system_score_gemma":0.135894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945678,"about_ca_topic_score_gemma":0.9925151,"domain_scores_codex":[0.9957748,0.0003585768,0.0005197923,0.0005619376,0.00186359,0.0009212866],"domain_scores_gemma":[0.9639772,0.001562829,0.001088909,0.001071716,0.03050747,0.001791911],"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":[0.00003321955,0.000006503336,0.001080142,0.0002926281,0.00002880607,0.000005967056,0.00001648659,0.0001171615,0.000007878258,0.0002975636,0.9963561,0.001757519],"study_design_scores_gemma":[0.0003534052,0.00001986592,0.03069912,0.001422968,0.0001452466,0.00003566088,0.0003963835,0.0007700378,0.0001954568,0.0009029682,0.9649416,0.0001173397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004548901,0.00005266205,0.00002743052,0.0001431821,0.00002681519,0.00001899701,0.9988777,0.00005710951,0.000750665],"genre_scores_gemma":[0.000999838,0.0003220658,0.0005362772,0.000219948,0.00002175298,0.0001951737,0.9943169,0.0001207914,0.003267375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09290812,"threshold_uncertainty_score":0.3882603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314247156489017,"score_gpt":0.2581549052106382,"score_spread":0.215012433645748,"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."}}