{"id":"W4392551615","doi":"10.2139/ssrn.4736843","title":"Reputational Algorithm Aversion","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Download; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006622339,0.00008236337,0.00009714309,0.0002253077,0.000284445,0.0003636272,0.0004486082,0.00004396185,0.0005281155],"category_scores_gemma":[0.0002713953,0.00005813,0.0001386176,0.0006350817,0.00005391907,0.0003680134,0.00003972159,0.001032168,0.002449932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934924,"about_ca_system_score_gemma":0.001371558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003083223,"about_ca_topic_score_gemma":0.00001134443,"domain_scores_codex":[0.9976609,0.0001225277,0.0003336274,0.0002593721,0.0007633828,0.0008602067],"domain_scores_gemma":[0.9990146,0.0005109728,0.0000732511,0.0001883572,0.0001371828,0.00007565302],"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":[0.000004415322,0.00001209819,0.00001531029,3.219423e-7,0.00002080679,0.000004087909,0.00008975258,0.00008137259,0.0001197774,0.6026584,0.001786034,0.3952076],"study_design_scores_gemma":[0.00007959631,0.00005197542,0.00008252508,0.000006600499,0.000009538185,0.0006863112,0.001220568,0.004044997,0.00008690688,0.9127809,0.08088376,0.00006630321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0758504,0.004419142,0.9017791,0.007030266,0.0007905251,0.0001104738,0.00001206404,0.0001110091,0.009897066],"genre_scores_gemma":[0.9685049,0.0004410264,0.001035794,0.0001173245,0.0004676036,0.000004288306,0.000003724036,0.00001113722,0.02941422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9007432,"threshold_uncertainty_score":0.9983268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270319476895112,"score_gpt":0.3658318648779404,"score_spread":0.3331286701089893,"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."}}