{"id":"W611014095","doi":"","title":"Recent Advances in Statistical Methods: Proceedings of Statistics 2001 Canada : The 4th Conference in Applied Statistics Montreal, Canada 6-8 July 2001","year":2003,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Statistics; Econometrics; Order statistic; Series (stratigraphy); Goodness of fit","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002157404,0.0004188995,0.001190286,0.0001490942,0.000066473,0.00001813846,0.0009200198,0.0006266967,0.0003365917],"category_scores_gemma":[0.001343593,0.0003227102,0.00001611153,0.0002288545,0.0008115233,0.0000458954,0.0002556778,0.001434729,7.913349e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078759,"about_ca_system_score_gemma":0.0146987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6581254,"about_ca_topic_score_gemma":0.9937292,"domain_scores_codex":[0.9960456,0.0005646296,0.001034143,0.0007950262,0.0006422178,0.0009184201],"domain_scores_gemma":[0.9955375,0.003139048,0.0004142971,0.0002847356,0.0002162516,0.0004081548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003460385,0.00004306248,0.0001052535,0.0001179654,0.00002542836,0.0004263749,0.0001073552,0.000002167754,6.515706e-7,0.5014154,0.1431658,0.354556],"study_design_scores_gemma":[0.00102108,0.000193933,0.0008047595,0.00009658762,0.00005235373,0.0002219994,0.00003272821,0.007191881,0.000007885573,0.7431425,0.2467548,0.0004793831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007362341,0.003495769,0.9141588,0.001151858,0.0007207231,0.0003852072,0.000359373,0.000008743071,0.0797122],"genre_scores_gemma":[0.0001800117,0.02690902,0.9409135,0.005520941,0.00007740021,0.0001261964,0.000155345,0.00004222376,0.02607536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3540766,"threshold_uncertainty_score":0.9999225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143402316389654,"score_gpt":0.2850437115943582,"score_spread":0.2707034799553927,"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."}}