{"id":"W6939150809","doi":"10.6068/dp14ba836f35574","title":"Most Recent Data (2012). Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Neurological conditions in institutions, by age, sex, and number of residents | Variable: Total, all ages, Stroke, Both sexes, 50 residents or more | Units: #, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health statistics; Census; Socioeconomic status; Official statistics; Medical statistics; Economic statistics; Medical prescription; Health policy","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":[0.002825332,0.00260474,0.003126675,0.00821588,0.003628538,0.005348624,0.005534878,0.001885296,0.1382014],"category_scores_gemma":[0.0283417,0.00188455,0.002626184,0.04472429,0.0007236697,0.002532013,0.002690356,0.003488589,0.06840584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06293483,"about_ca_system_score_gemma":0.1527929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942979,"about_ca_topic_score_gemma":0.9921927,"domain_scores_codex":[0.9946327,0.0003787216,0.0007003285,0.0006025834,0.002513149,0.001172463],"domain_scores_gemma":[0.94964,0.002478426,0.001393734,0.001364459,0.04261512,0.002508324],"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":[0.00001941097,0.000005966643,0.0005949044,0.0002637981,0.00001549628,0.000004296116,0.00001473638,0.00008246325,0.000005611421,0.0002117582,0.9976305,0.001151049],"study_design_scores_gemma":[0.0002724048,0.00001521438,0.02319295,0.001365218,0.00009049586,0.00002745149,0.0004775935,0.000473623,0.0001402829,0.0007608581,0.9730713,0.0001126052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000029655,0.00004324429,0.0000141014,0.0001392964,0.0000231455,0.00001462013,0.9989513,0.00004311824,0.0007414497],"genre_scores_gemma":[0.0007658982,0.000313482,0.0003898756,0.0002679557,0.00002360365,0.0001683391,0.9944647,0.0001121065,0.003494076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1382014,"threshold_uncertainty_score":0.4623297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422458184137785,"score_gpt":0.2848370195041862,"score_spread":0.2506124376628084,"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."}}