{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257563,0.0007158837,0.0005410557,0.001534379,0.0005845805,0.0008559864,0.001414,0.001363319,0.004348943],"category_scores_gemma":[0.008162137,0.0003339441,0.0008118222,0.001242971,0.0003933114,0.002102493,0.0007180254,0.001277355,0.0009581466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009415097,"about_ca_system_score_gemma":0.001031783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561995,"about_ca_topic_score_gemma":0.03009187,"domain_scores_codex":[0.9991099,0.0003250712,0.00006512936,0.0001955017,0.0002391317,0.000065168],"domain_scores_gemma":[0.9939649,0.003718481,0.0005271267,0.0008405822,0.0007841532,0.0001647356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00170625,0.0005377652,0.04515256,0.0007663603,0.0004001913,0.0007283672,0.001405767,0.1960667,0.01186439,0.02589141,0.02516889,0.6903114],"study_design_scores_gemma":[0.00007502438,0.0001501712,0.003912785,0.00003898729,0.000101085,0.0001522503,0.000125235,0.9764293,0.003912047,0.009607499,0.00545737,0.00003821473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565311,0.001917648,0.8263482,0.002016228,0.0001426247,0.0003330969,0.002275163,0.006824837,0.003611001],"genre_scores_gemma":[0.8069999,0.0004780164,0.1830511,0.0002682337,0.0001147681,0.0001647388,0.003541003,0.0001178105,0.005264425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01561995,"threshold_uncertainty_score":0.03105807,"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."}}