{"id":"W2094616653","doi":"10.1257/mic.6.4.293","title":"(Good and Bad) Reputation for a Servant of Two Masters","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Reputation; Homogeneous; Stochastic game; Advertising; Affect (linguistics); Servant; Focus (optics); Reputation management; Business; Microeconomics; Public relations; Psychology; Law and economics; Economics; Political science; Computer science; Law; Mathematics; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008840638,0.0001510721,0.0004486,0.0001167422,0.0003471596,0.0001190997,0.0002155875,0.00003354322,0.0000290764],"category_scores_gemma":[0.0000376123,0.0001781098,0.00012914,0.0000272644,0.0007397236,0.0003680745,0.00006143888,0.00009982816,0.00001678243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004969421,"about_ca_system_score_gemma":0.0001526232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794729,"about_ca_topic_score_gemma":0.001658907,"domain_scores_codex":[0.9987082,0.00008171448,0.0005901906,0.0002589084,0.00002818291,0.0003327568],"domain_scores_gemma":[0.9985899,0.0002258505,0.0008446699,0.0001336628,0.00004249283,0.0001634158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005089863,0.0002328468,0.3178473,0.00005007491,0.0006915008,0.000002790659,0.04440352,0.001728487,0.0142965,0.1898748,0.002371305,0.4279918],"study_design_scores_gemma":[0.02155474,0.005926751,0.03317959,0.0002651569,0.0008568875,0.0005540744,0.3019301,0.01472462,0.02545697,0.09917174,0.4911461,0.00523325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932887,0.0001174845,0.0006003013,0.001216388,0.0004754229,0.0002443645,0.00003129183,0.00001464118,0.004011415],"genre_scores_gemma":[0.9855093,0.0005856251,0.01304504,0.0003792719,0.0002901345,0.00001627302,0.00000324333,0.00002775888,0.0001433248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4887748,"threshold_uncertainty_score":0.7263108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472885528189754,"score_gpt":0.3219144629730786,"score_spread":0.307185607691181,"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."}}