{"id":"W6957847934","doi":"10.6068/dp14ba81c7e7c43","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: 0 to 17 years, All conditions, Males, 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; Statistical analysis","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":[0.002606023,0.002460556,0.002977328,0.007762843,0.003539458,0.005225153,0.005358836,0.00182143,0.1540316],"category_scores_gemma":[0.02661001,0.001939808,0.002452673,0.04316195,0.0007448349,0.002729349,0.002654813,0.003329592,0.07655433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0590603,"about_ca_system_score_gemma":0.1532118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942129,"about_ca_topic_score_gemma":0.9916231,"domain_scores_codex":[0.9949206,0.0003322746,0.0006510151,0.0005711492,0.002428769,0.001096228],"domain_scores_gemma":[0.9484882,0.002349099,0.001293687,0.001267955,0.04423226,0.002368849],"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":[0.0000197602,0.000005919671,0.0005856521,0.0002668375,0.00001415997,0.00000476652,0.00001515398,0.00008121454,0.000006489797,0.0002227392,0.9975035,0.001273959],"study_design_scores_gemma":[0.0002384049,0.00001396419,0.0218602,0.001323138,0.00008053231,0.00002803482,0.000440521,0.0004057968,0.0001475986,0.0007113831,0.9746429,0.0001077265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003062719,0.00004515829,0.00001711203,0.0001431228,0.00002559891,0.00001519898,0.998704,0.00005421801,0.0009649473],"genre_scores_gemma":[0.0007851109,0.0003682144,0.0004445927,0.000284043,0.00002393086,0.0001657572,0.9932337,0.000154444,0.004540137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1540316,"threshold_uncertainty_score":0.5152872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05400218836384376,"score_gpt":0.3257949891074954,"score_spread":0.2717928007436517,"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."}}