{"id":"W4315646764","doi":"10.21203/rs.3.rs-2457669/v1","title":"Post-hoc Explanation for Twitter List Recommendation","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Ranking (information retrieval); Information retrieval; Post hoc; Rank (graph theory); Recommender system; World Wide Web","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":[0.004028901,0.0002267323,0.000293238,0.0008714249,0.0003183517,0.0009886433,0.001458258,0.0003497107,0.00003865037],"category_scores_gemma":[0.0003006028,0.0002141041,0.0001878138,0.0004371863,0.00003105853,0.0003532688,0.002045656,0.0008142096,0.0001141218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575096,"about_ca_system_score_gemma":0.0002530558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007264292,"about_ca_topic_score_gemma":0.0001901149,"domain_scores_codex":[0.9967967,0.0005037816,0.0004540307,0.0009171971,0.0007357808,0.0005925288],"domain_scores_gemma":[0.9966571,0.0006921585,0.0001706462,0.001096774,0.001251871,0.0001314405],"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":[0.00006189965,0.0001782076,0.0004966673,0.002587055,0.0001125298,0.00002078899,0.003120546,0.00001907999,0.0003230155,0.04136781,0.7130144,0.2386981],"study_design_scores_gemma":[0.001021375,0.001809277,0.002835341,0.002136215,0.0000128822,0.00001546428,0.001033991,0.08268353,0.004368233,0.2024922,0.7002403,0.001351263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001506766,0.0001405389,0.94196,0.04627587,0.002111421,0.003717144,0.0002321091,0.001349774,0.002706421],"genre_scores_gemma":[0.8220629,0.001180315,0.136499,0.0009906988,0.003187149,0.01390095,0.005442147,0.0003057556,0.01643112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8205561,"threshold_uncertainty_score":0.953351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2542382675706264,"score_gpt":0.4616505300777851,"score_spread":0.2074122625071587,"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."}}