{"id":"W6901432408","doi":"10.6068/dp14ba833973348","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: 18 and over, Spina bifida, Females, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health statistics; Census; Medical statistics; Socioeconomic status; Official statistics; Medical prescription; Summary statistics; Economic 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":[0.00274545,0.002579379,0.003248031,0.008395326,0.003774343,0.005370826,0.0057183,0.001981319,0.1458799],"category_scores_gemma":[0.02786214,0.001931951,0.002674365,0.04407625,0.0007372694,0.002548041,0.002758148,0.00363049,0.06965166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06318104,"about_ca_system_score_gemma":0.1547828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943554,"about_ca_topic_score_gemma":0.9923322,"domain_scores_codex":[0.9947078,0.0003613877,0.0006864137,0.000609434,0.002442586,0.001192269],"domain_scores_gemma":[0.9511178,0.00245836,0.001375708,0.001320473,0.04118672,0.002540961],"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":[0.00001889178,0.000005918679,0.0006006205,0.0002689812,0.00001521543,0.000004481017,0.00001513306,0.00007800361,0.000005652551,0.000211448,0.9976206,0.00115512],"study_design_scores_gemma":[0.0002789656,0.00001538939,0.02363542,0.001464387,0.00009284917,0.00002957078,0.0005035121,0.0004652152,0.0001381977,0.0007794834,0.9724816,0.0001153972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002944029,0.0000441561,0.00001382321,0.0001443897,0.00002390743,0.00001472084,0.9989317,0.00004220173,0.0007557137],"genre_scores_gemma":[0.0007811475,0.0003342743,0.0003941248,0.0002955728,0.00002471222,0.0001793714,0.9941531,0.000116396,0.003721289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1458799,"threshold_uncertainty_score":0.4880168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528684634023234,"score_gpt":0.3280236087286052,"score_spread":0.2751551453262818,"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."}}