{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514028,0.0001920405,0.0003204,0.00008456146,0.00004870044,0.00006431407,0.0003697999,0.0001275302,0.0002283957],"category_scores_gemma":[0.0001587183,0.0001802949,0.00002197577,0.0001445883,0.0003848896,0.0001951569,0.0002180914,0.0001708379,0.00001649815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003175682,"about_ca_system_score_gemma":0.00009856196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003788692,"about_ca_topic_score_gemma":0.0003561057,"domain_scores_codex":[0.9986529,0.00011864,0.0003846764,0.0004169438,0.0002224365,0.0002044041],"domain_scores_gemma":[0.9991391,0.0001328446,0.0001528829,0.0003926322,0.00007245342,0.0001100573],"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":[0.00000508549,0.000074548,0.0003934657,0.0002607553,0.00001144618,0.000003877641,0.0001499459,0.00007121421,7.351139e-7,0.9760653,0.0109492,0.01201438],"study_design_scores_gemma":[0.0001478675,0.0001501978,0.0005949943,0.0002225434,0.00001057965,0.000005352621,0.00001984417,0.1014584,0.000002149199,0.8867768,0.0103538,0.0002574514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006665297,0.0003648195,0.9912716,0.00007059563,0.0001838115,0.0003059362,0.001900493,0.00006990935,0.005766172],"genre_scores_gemma":[0.00281602,0.000257921,0.9864627,0.00003583626,0.00005481258,0.00006529916,0.0007109907,0.00005600887,0.009540483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1013872,"threshold_uncertainty_score":0.7352213,"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."}}