{"id":"W6976055522","doi":"10.6068/dp14ba841431753","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: 18 to 44 years, Muscular dystrophy, Both sexes, Less than 10 residents | 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; Official statistics; Economic statistics; Socioeconomic status; Medical statistics; Mental health; 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":[0.002664506,0.002529991,0.003085054,0.007950257,0.003573854,0.005350121,0.005455256,0.001919887,0.1536392],"category_scores_gemma":[0.02733238,0.002057667,0.002534491,0.04482318,0.0007608109,0.002798054,0.002710674,0.003478433,0.07767875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0596765,"about_ca_system_score_gemma":0.1531456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939508,"about_ca_topic_score_gemma":0.9912163,"domain_scores_codex":[0.9946185,0.0003365299,0.0006997036,0.0006043618,0.002588696,0.001152328],"domain_scores_gemma":[0.946578,0.002440967,0.001383603,0.001359903,0.04585512,0.002382348],"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":[0.00002000218,0.000006106791,0.000584121,0.0002701468,0.00001446141,0.00000473405,0.00001493861,0.00008288283,0.000006615553,0.000222548,0.9975666,0.001206888],"study_design_scores_gemma":[0.0002555274,0.00001410912,0.02204507,0.001336768,0.00008061424,0.00002762031,0.0004334844,0.0003958729,0.0001494688,0.000705356,0.974447,0.0001090534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000276312,0.00004040515,0.00001531192,0.0001306235,0.00002417066,0.00001455086,0.9988229,0.00004933537,0.0008750101],"genre_scores_gemma":[0.0007151224,0.0003412552,0.0004227898,0.0002766479,0.00002243486,0.0001640024,0.993688,0.0001431388,0.004226566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1536392,"threshold_uncertainty_score":0.5139744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509765420950879,"score_gpt":0.303620848745779,"score_spread":0.2585231945362702,"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."}}