{"id":"W6907714027","doi":"10.25318/1710001901-eng","title":"Estimates of population, by sex and age group, census divisions and census metropolitan areas, 1996 census boundaries","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Table (database); Division (mathematics); Demographic analysis; Race (biology)","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":[0.0009838711,0.001404573,0.001165864,0.004371423,0.0007554078,0.001487675,0.001929879,0.0006024204,0.04846956],"category_scores_gemma":[0.006790756,0.000758219,0.0006466521,0.01736465,0.0002311485,0.001003804,0.0007656483,0.001299603,0.05253863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005457235,"about_ca_system_score_gemma":0.009380083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6404521,"about_ca_topic_score_gemma":0.5957921,"domain_scores_codex":[0.9989462,0.00007176717,0.0001512844,0.0002281924,0.0004211849,0.000181357],"domain_scores_gemma":[0.9961644,0.0003061743,0.000390001,0.0002766722,0.002638996,0.0002237698],"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":[0.00002177145,0.00001041627,0.002233511,0.0001974305,0.00001317382,0.000009104428,0.00001919167,0.0001922868,0.00002104865,0.0003066882,0.9948132,0.002162215],"study_design_scores_gemma":[0.0001632681,0.00001735504,0.06241759,0.0004931362,0.00004248608,0.00005277709,0.000304986,0.0004737673,0.0002386509,0.0004443319,0.935323,0.00002871193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001793895,0.000034384,0.00002495891,0.00002582322,0.0000112868,0.000008668839,0.9990177,0.0000295947,0.0006681161],"genre_scores_gemma":[0.0008118679,0.0001269382,0.0001437358,0.00002584698,0.000005625487,0.00007412457,0.9964249,0.00002036601,0.002366648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3595479,"threshold_uncertainty_score":0.7233306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904754618802169,"score_gpt":0.2745851832947054,"score_spread":0.2655376371066838,"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."}}