{"id":"W6931572269","doi":"10.5683/sp3/cdkeof","title":"2016 Census of Canada, Age, Household type, Sex, Disability, and Marital Status, by Census Tracts [custom tabulation]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; American Community Survey; Marital status; Demographic analysis; Population; Sample (material)","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":[0.001229416,0.002021232,0.002161928,0.007178101,0.002214085,0.002972096,0.003420374,0.000924967,0.04957674],"category_scores_gemma":[0.01074693,0.001325188,0.001756897,0.02763256,0.0005715474,0.001473079,0.0013746,0.00233425,0.02605131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03322693,"about_ca_system_score_gemma":0.09462974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929455,"about_ca_topic_score_gemma":0.9934652,"domain_scores_codex":[0.9980415,0.0001052954,0.000271478,0.0003175864,0.0007792322,0.0004847725],"domain_scores_gemma":[0.9910158,0.0003199419,0.0004233794,0.0003388063,0.007310103,0.0005918706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003799811,0.00001296003,0.003705051,0.0005021987,0.00003385412,0.00001492533,0.000049945,0.0002213925,0.00001731324,0.0004844419,0.9922242,0.002695672],"study_design_scores_gemma":[0.0002350987,0.00001809408,0.1255458,0.001286822,0.0001035625,0.00008361282,0.0006530947,0.0008795212,0.0002166,0.0007320402,0.8701485,0.00009725414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001354079,0.0000750847,0.00002431143,0.00004347464,0.00001939709,0.00001448728,0.9989832,0.00003503414,0.0006696418],"genre_scores_gemma":[0.001769044,0.0004190287,0.0003735647,0.00009219562,0.00001330431,0.0001499334,0.9930287,0.00006051655,0.004093675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04957674,"threshold_uncertainty_score":0.2410794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711331658085412,"score_gpt":0.2615943523606184,"score_spread":0.2344810357797643,"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."}}