{"id":"W6976397931","doi":"10.6068/dp14ba819c06c76","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: Total, all ages, Stroke, Both sexes, 50 residents or more | Units: #, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-109.","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; Health statistics; Economic statistics; Official statistics; Socioeconomic status; Mental health; Medical statistics; Population 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":[0.002644261,0.002489138,0.002997166,0.007631979,0.003507896,0.005280523,0.005347413,0.001843959,0.1528805],"category_scores_gemma":[0.02665206,0.00196304,0.002448332,0.04339307,0.0007463721,0.002760464,0.002667555,0.003362508,0.07746593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05959067,"about_ca_system_score_gemma":0.1538919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940871,"about_ca_topic_score_gemma":0.991354,"domain_scores_codex":[0.9948564,0.000340167,0.0006592517,0.0005771697,0.002469765,0.001097239],"domain_scores_gemma":[0.948648,0.002320856,0.001287663,0.001294899,0.04407677,0.002371744],"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":[0.00001980864,0.000005997287,0.0005596386,0.0002621698,0.00001428647,0.000004653884,0.00001459289,0.00008268032,0.00000663717,0.0002259838,0.9975531,0.001250476],"study_design_scores_gemma":[0.000239112,0.0000137423,0.02053997,0.001263795,0.00007932495,0.0000269774,0.0004127323,0.0004083174,0.0001482975,0.0007137846,0.9760478,0.0001062161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002980287,0.00004438975,0.000017275,0.0001424517,0.00002539079,0.00001526716,0.9987125,0.00005504793,0.0009578294],"genre_scores_gemma":[0.0007608861,0.0003626355,0.0004544453,0.0002859781,0.00002330638,0.0001633619,0.9933703,0.0001553105,0.004423725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1528805,"threshold_uncertainty_score":0.5114362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170971637475769,"score_gpt":0.3156306155189503,"score_spread":0.2639208991441926,"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."}}