{"id":"W4299390741","doi":"10.1002/0471667196.ess5099.pub2","title":"Discrete Multivariate Distributions","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Notation; Mathematics; Computer science; Statistics; Econometrics; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004710887,0.0002480073,0.000393958,0.00015419,0.0001160871,0.00007551987,0.001316051,0.0001634089,0.001492346],"category_scores_gemma":[0.000258282,0.0001833015,0.00007091313,0.0004760653,0.0006936665,0.0001539398,0.0002770974,0.0001921222,0.00007805126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001969488,"about_ca_system_score_gemma":0.0001954705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003333827,"about_ca_topic_score_gemma":0.00006090453,"domain_scores_codex":[0.997927,0.000146876,0.0003411668,0.0006324625,0.0005283219,0.0004241767],"domain_scores_gemma":[0.9987661,0.0003656171,0.0002333738,0.0004104033,0.00002935804,0.000195138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.507982e-7,0.00003157498,0.0000109653,0.00001582558,0.00000891233,0.000005227703,0.0000409902,7.656319e-7,0.000003392691,0.7567505,0.1185686,0.1245626],"study_design_scores_gemma":[0.0001681069,0.0001128412,0.0006022011,0.0001214822,0.00002850787,0.000005355142,0.000004112957,0.004489319,0.00001521422,0.09362441,0.90038,0.0004485166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.470869e-7,0.0002401071,0.5309938,0.0002079656,0.0002833098,0.00009687358,0.0003112879,0.00007653297,0.4677899],"genre_scores_gemma":[0.0001313079,0.0004017751,0.8568554,0.00004090056,0.0002515384,0.00001281729,0.00001653044,0.00003672703,0.142253],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7818114,"threshold_uncertainty_score":0.9994204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364439820961352,"score_gpt":0.3113016143539072,"score_spread":0.2976572161442937,"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."}}