{"id":"W6901434460","doi":"10.6068/dp14ba84ee82942","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: 65 to 79 years, Hydrocephalus, Males, Total, number of residents | 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; Socioeconomic status; Official statistics; Medical statistics; Economic statistics; Medical prescription; Summary 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":[0.002796251,0.002565641,0.003156226,0.008353139,0.003680033,0.005282163,0.005564141,0.001890547,0.1376438],"category_scores_gemma":[0.02782899,0.00188266,0.00263312,0.04411189,0.000719233,0.002489482,0.002678764,0.003543504,0.06600873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06289491,"about_ca_system_score_gemma":0.1532957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944416,"about_ca_topic_score_gemma":0.9923711,"domain_scores_codex":[0.9947701,0.0003591205,0.0006735128,0.0005999213,0.002424853,0.001172467],"domain_scores_gemma":[0.9509951,0.00240781,0.001374374,0.001288301,0.04144474,0.002489691],"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":[0.00001890487,0.000005933509,0.0006190023,0.0002708856,0.00001535994,0.000004409216,0.00001530763,0.0000798819,0.000005560254,0.0002093669,0.997596,0.001159372],"study_design_scores_gemma":[0.0002752383,0.00001545402,0.02474781,0.001470378,0.00009356255,0.00002902103,0.0005106084,0.0004756156,0.0001392252,0.0007633232,0.9713661,0.0001137098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003067892,0.00004477608,0.00001368498,0.000142368,0.00002366935,0.00001454259,0.9989587,0.00004106279,0.0007305279],"genre_scores_gemma":[0.0007968635,0.0003289397,0.0003897802,0.0002794999,0.00002473637,0.0001768528,0.994247,0.0001113396,0.003644901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1376438,"threshold_uncertainty_score":0.4604642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229344022942972,"score_gpt":0.3078162234266207,"score_spread":0.275522783197191,"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."}}