{"id":"W6950305736","doi":"10.5683/sp3/avcuom","title":"Annual Demographic Statistics, 2001 [Canada] [Excel]","year":2001,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic analysis; Metropolitan area; Population statistics; Marital status; Population; Demographic statistics; American Community Survey","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":[0.001359366,0.001319224,0.001300591,0.005904827,0.001925254,0.002499661,0.002364021,0.0007071451,0.2038653],"category_scores_gemma":[0.01010365,0.001095938,0.0006891146,0.02359811,0.0003447439,0.0014906,0.0009367401,0.001803159,0.1181596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02036452,"about_ca_system_score_gemma":0.05403767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9496413,"about_ca_topic_score_gemma":0.9441001,"domain_scores_codex":[0.9980953,0.0001446084,0.0002141707,0.0001993931,0.001061299,0.0002851281],"domain_scores_gemma":[0.9883003,0.0005835586,0.0003113295,0.0002911743,0.01018659,0.0003269988],"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":[0.00001222224,0.000007086297,0.000795953,0.0001522466,0.000006863278,0.000008518296,0.00002604951,0.0001299626,0.00001024372,0.0004572027,0.9896511,0.008742538],"study_design_scores_gemma":[0.00005004981,0.00001045622,0.02446363,0.0004454605,0.00002167664,0.00004468608,0.0002399854,0.0004695829,0.0000837892,0.000654214,0.9734701,0.00004632078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002227161,0.0002655495,0.0002832837,0.0003152071,0.00008496008,0.0001425576,0.9715378,0.0004669575,0.02668101],"genre_scores_gemma":[0.002906881,0.001881853,0.002957414,0.0004881259,0.00005296184,0.0008127305,0.9168984,0.000490809,0.07351083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2038653,"threshold_uncertainty_score":0.6819973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386024693384336,"score_gpt":0.2558914066331865,"score_spread":0.2420311596993432,"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."}}