{"id":"W4236196134","doi":"10.1002/9781118787106.app2","title":"Appendix B: An Inventory of Discrete Distributions","year":2013,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Class (philosophy); Hierarchy; Mathematics; Combinatorics; Computer science; Law; Artificial intelligence; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001442542,0.0009828368,0.0007739917,0.002855768,0.0009208158,0.002311118,0.00133949,0.0009802096,0.3361077],"category_scores_gemma":[0.01366216,0.00063621,0.0006401123,0.004514468,0.000605245,0.003108777,0.001195242,0.002363977,0.1407292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498004,"about_ca_system_score_gemma":0.002223699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004084094,"about_ca_topic_score_gemma":0.004121196,"domain_scores_codex":[0.9986278,0.0003228085,0.0001240064,0.000187583,0.000667128,0.00007063368],"domain_scores_gemma":[0.9928941,0.003500656,0.0002586323,0.000913468,0.002277385,0.0001557637],"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":[0.00003912527,0.00005377454,0.0004947481,0.0003787076,0.000009735959,0.0001076487,0.00007947171,0.003595426,0.0003441624,0.2854449,0.5955059,0.1139465],"study_design_scores_gemma":[0.00002309715,0.00002067381,0.0006923095,0.0001934209,0.000006884651,0.0003649074,0.00005847847,0.006301738,0.0003619276,0.1942742,0.7976658,0.00003663959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002588322,0.002950023,0.3495518,0.00463148,0.00297099,0.0006507537,0.1162336,0.004757971,0.515665],"genre_scores_gemma":[0.06215066,0.009620995,0.3452685,0.003060389,0.002945162,0.002316466,0.1301187,0.004445734,0.4400734],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3361077,"threshold_uncertainty_score":0.9469618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957056135727222,"score_gpt":0.2575053481440117,"score_spread":0.2379347867867395,"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."}}