{"id":"W7070870209","doi":"","title":"Profile of census divisions and subdivisions in British Columbia","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Population; Work (physics); Demographic 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":[0.0002610733,0.0002610813,0.0003019134,0.007196905,0.001635516,0.001346556,0.0008481478,0.0002853528,0.01426489],"category_scores_gemma":[0.002495574,0.0003909376,0.000186109,0.01690191,0.0003430685,0.0003327286,0.0006616798,0.0005164458,0.002545611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008609725,"about_ca_system_score_gemma":0.01829295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864975,"about_ca_topic_score_gemma":0.9963332,"domain_scores_codex":[0.9995248,0.00003803331,0.00004607555,0.00006023753,0.0001844188,0.0001462945],"domain_scores_gemma":[0.9972312,0.0001853849,0.0002202332,0.0000858994,0.001853018,0.0004243236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002558984,0.00007437642,0.5818254,0.000626398,0.0001057391,0.000521974,0.006448215,0.001891179,0.001664381,0.005513158,0.2791235,0.1219498],"study_design_scores_gemma":[0.000007825083,0.00001031427,0.9279328,0.0001384901,0.00002437621,0.0001147688,0.005635858,0.0008454279,0.0002555471,0.0001948453,0.06481048,0.00002928942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5937107,0.003150165,0.0008596696,0.001570935,0.00007926214,0.0003449995,0.2866481,0.0004076264,0.1132286],"genre_scores_gemma":[0.6833003,0.004375624,0.002809368,0.0003547009,0.00001620904,0.0002950745,0.09366146,0.0001431328,0.2150442],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01426489,"threshold_uncertainty_score":0.06246823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280636384953675,"score_gpt":0.2433917856044922,"score_spread":0.2305854217549555,"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."}}