{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002714836,0.0001788191,0.0005897794,0.00005691341,0.00004247047,0.00006950081,0.0001878388,0.0003244965,0.1997553],"category_scores_gemma":[0.001171951,0.0002419607,0.00008001836,0.00001477807,0.0002226677,1.714294e-7,0.0001079616,0.0002487658,0.0002163542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003062876,"about_ca_system_score_gemma":0.00004155635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06183897,"about_ca_topic_score_gemma":0.07339684,"domain_scores_codex":[0.9983858,0.00009414832,0.0007761832,0.0001877757,0.000314594,0.0002415245],"domain_scores_gemma":[0.9984139,0.0006003717,0.0005011627,0.0002663566,0.0001134104,0.0001048069],"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":[0.000007689685,0.00009471681,0.00004140584,0.001109919,0.00002128237,0.00002350734,0.00005672737,9.422534e-7,1.537979e-7,0.0009991005,0.9875908,0.01005377],"study_design_scores_gemma":[0.0005820236,0.0001204343,0.0004738869,0.001798682,0.00004429701,0.00005118013,0.00007834685,0.00001183985,0.00000155433,0.008979337,0.9876025,0.000255969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002424049,0.0001281382,0.00005500526,0.00002376836,0.0000907789,0.0005399207,0.001323609,0.0000590432,0.9975373],"genre_scores_gemma":[0.0009573111,0.0001988228,0.1306397,0.00002435479,0.0000268446,0.00001759925,0.00006231243,0.00007703176,0.867996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.199539,"threshold_uncertainty_score":0.986687,"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."}}