{"id":"W6939100084","doi":"10.6068/dp14ba84f030953","title":"Most Recent Data (2012). Statistics Canada. CANSIM: Health - Disability | Country: Canada | Table: Neurological conditions in institutions, by age, sex, and number of residents | Variable: 18 to 44 years, Brain or spinal cord tumour, Females, 50 residents or more | Units: #, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-109.","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; Summary statistics; Economic statistics; Health statistics; Official statistics; Socioeconomic status; Mental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002575574,0.002510485,0.003102138,0.007738456,0.003464964,0.005171448,0.005421641,0.001890633,0.1477312],"category_scores_gemma":[0.02635177,0.001993639,0.002555309,0.04292107,0.0007508114,0.002724361,0.002630502,0.003433394,0.07525048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05742298,"about_ca_system_score_gemma":0.1480136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993978,"about_ca_topic_score_gemma":0.9912703,"domain_scores_codex":[0.9949818,0.0003209537,0.0006433628,0.0005871251,0.00237806,0.001088695],"domain_scores_gemma":[0.9506553,0.002334056,0.001300861,0.00127226,0.04221457,0.002223037],"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":[0.00002042852,0.000006226568,0.0005918202,0.0002849399,0.00001549754,0.000004736314,0.00001474399,0.00008622491,0.000006449407,0.0002109486,0.9975936,0.001164333],"study_design_scores_gemma":[0.0002812736,0.00001469604,0.0223035,0.001379439,0.0000856729,0.00002840521,0.0004383188,0.0004300298,0.0001526686,0.0007115601,0.9740602,0.0001141749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002719201,0.00003952168,0.0000144224,0.0001228662,0.00002333292,0.00001347991,0.998951,0.00004551097,0.0007627226],"genre_scores_gemma":[0.0007330475,0.0003297534,0.0004097073,0.0002634741,0.00002188945,0.0001593429,0.9941481,0.0001321945,0.003802485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1477312,"threshold_uncertainty_score":0.4942102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07738550278336417,"score_gpt":0.3464668127875753,"score_spread":0.2690813100042111,"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."}}