{"id":"W4392733156","doi":"10.1017/9781108874144.011","title":"Multivariate Enumeration","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Enumeration; Multivariate statistics; Mathematics; Statistics; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078607,0.000863398,0.0008723966,0.002167184,0.0007542166,0.002066746,0.001264338,0.0006000435,0.1985215],"category_scores_gemma":[0.003852912,0.0003464955,0.0008523217,0.003705797,0.000542024,0.002847375,0.001499379,0.001619402,0.07936972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269283,"about_ca_system_score_gemma":0.001308904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547829,"about_ca_topic_score_gemma":0.002679606,"domain_scores_codex":[0.9993069,0.0001408812,0.0000506622,0.0001396023,0.0003126462,0.00004939577],"domain_scores_gemma":[0.9988087,0.0003595675,0.00005008349,0.0002432345,0.0004631296,0.00007521793],"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":[0.00004208886,0.00003735323,0.0001656211,0.0005543649,0.00001413891,0.00005607464,0.00005164316,0.002791857,0.0003906837,0.1769697,0.4230118,0.3959147],"study_design_scores_gemma":[0.000005422862,0.0000163218,0.000338092,0.0001826034,0.00000993935,0.000205184,0.00002722654,0.001947394,0.0003318812,0.1179263,0.8789942,0.00001531862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002194214,0.01866324,0.1970637,0.005353526,0.002987392,0.0002413983,0.009836959,0.00369425,0.7599652],"genre_scores_gemma":[0.04441972,0.03286175,0.1111752,0.002250348,0.003231518,0.000568812,0.02160558,0.002725341,0.7811618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1985215,"threshold_uncertainty_score":0.6641204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463787020171117,"score_gpt":0.2237005627172767,"score_spread":0.1990626925155655,"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."}}