{"id":"W6964545407","doi":"10.25318/1310069901-eng","title":"Access to specialized services, by type of service, household population aged 15 and over, Canada","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Population; Service (business); Confidence interval; Census; Type of service","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":[0.0007589441,0.001100778,0.001323721,0.006636884,0.001716442,0.002394905,0.002323492,0.0006540222,0.03686631],"category_scores_gemma":[0.008932524,0.0007749127,0.001161356,0.02264786,0.0003574946,0.001060619,0.001029079,0.001646204,0.01279481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02288752,"about_ca_system_score_gemma":0.04739972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904964,"about_ca_topic_score_gemma":0.988349,"domain_scores_codex":[0.9985297,0.00005791001,0.0002092869,0.0002348869,0.0005725824,0.0003957125],"domain_scores_gemma":[0.9921022,0.0005309572,0.0007070149,0.0003314667,0.005635097,0.000693308],"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":[0.00007243944,0.00003529494,0.01803701,0.0005923674,0.00005884721,0.00003251712,0.00008906474,0.0005427966,0.00002610059,0.0005461379,0.9746131,0.005354146],"study_design_scores_gemma":[0.0003411139,0.00003676887,0.4423504,0.001539995,0.0001522563,0.000143505,0.001257487,0.00174881,0.0003409691,0.0005162001,0.5514653,0.0001071427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007772173,0.00007833153,0.00002116922,0.00006611896,0.00001135297,0.00001787075,0.9979383,0.00003390538,0.001055759],"genre_scores_gemma":[0.005973253,0.0004085958,0.0001839958,0.00007711827,0.000009749793,0.0001086847,0.9887124,0.00003212561,0.004494045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03686631,"threshold_uncertainty_score":0.1660613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713615870081963,"score_gpt":0.2952869469746344,"score_spread":0.2781507882738148,"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."}}