{"id":"W4409287305","doi":"10.5220/0013288000003929","title":"Author Beta-Liouville Multinomial Allocation Model","year":2025,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"BETA (programming language); Multinomial distribution; Computer science; Mathematical optimization; Mathematics; Econometrics; Programming language","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":[0.00571527,0.00086559,0.002433091,0.002410793,0.001400113,0.003573783,0.003285068,0.005317403,0.02643627],"category_scores_gemma":[0.02211017,0.0009051127,0.001145401,0.002801256,0.001864934,0.005090729,0.002062737,0.003466591,0.009190528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636778,"about_ca_system_score_gemma":0.001424346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360096,"about_ca_topic_score_gemma":0.003608033,"domain_scores_codex":[0.9973612,0.001494575,0.00007998826,0.0004543516,0.0002729666,0.0003367919],"domain_scores_gemma":[0.9870941,0.008414418,0.0007378915,0.001285618,0.001769965,0.0006979936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005910446,0.0003111509,0.007440034,0.0002490012,0.0001675319,0.000563067,0.000438589,0.1921873,0.001038852,0.6692224,0.03741748,0.09037353],"study_design_scores_gemma":[0.00007154745,0.00005875905,0.0007046109,0.00004579473,0.0000447095,0.0002013518,0.00005558863,0.7808201,0.0003433757,0.211776,0.005841812,0.00003624009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08365002,0.002299813,0.8506434,0.007799657,0.0008552395,0.0002705791,0.001970677,0.001172046,0.05133855],"genre_scores_gemma":[0.7156127,0.00155497,0.06918264,0.001459494,0.0009200226,0.000606138,0.001367826,0.0003343108,0.2089619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02643627,"threshold_uncertainty_score":0.08843815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220946422056756,"score_gpt":0.2720122832626223,"score_spread":0.2499176410569467,"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."}}