{"id":"W6920420660","doi":"10.6068/dp14ba861cd9041","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, Both sexes, 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":[0.002821782,0.002600021,0.003256222,0.00847328,0.003754674,0.005377863,0.005729861,0.001938617,0.1362733],"category_scores_gemma":[0.02859162,0.001923735,0.002672977,0.04499346,0.00072708,0.002489421,0.002766708,0.003554877,0.06609029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06359635,"about_ca_system_score_gemma":0.1542619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945135,"about_ca_topic_score_gemma":0.9925149,"domain_scores_codex":[0.9946927,0.0003676632,0.0007005644,0.0006196393,0.002432152,0.001187245],"domain_scores_gemma":[0.9508167,0.002509501,0.001403305,0.001323679,0.0414216,0.002525216],"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":[0.00001889099,0.000005761263,0.000614907,0.0002706329,0.00001586768,0.000004445697,0.00001539747,0.00007932197,0.000005349672,0.0002085322,0.9976255,0.001135481],"study_design_scores_gemma":[0.0002927954,0.00001556533,0.02498683,0.00152152,0.00009828484,0.00003060352,0.00051244,0.0004928611,0.0001389418,0.0007888937,0.9710045,0.0001167298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002984977,0.00004359544,0.00001363139,0.0001393456,0.0000230385,0.0000140634,0.9989944,0.00004014458,0.0007020471],"genre_scores_gemma":[0.0007736709,0.0003203235,0.0003842528,0.0002723603,0.00002382735,0.000173865,0.9945246,0.0001090452,0.003418084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1362733,"threshold_uncertainty_score":0.461426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004639496491353,"score_gpt":0.3066591314101675,"score_spread":0.276612736445254,"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."}}