{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002728404,0.0004476219,0.000777874,0.0005176971,0.001099107,0.003097359,0.001049074,0.002978892,0.01677629],"category_scores_gemma":[0.01031189,0.0002956038,0.0005748193,0.000338522,0.001583942,0.002247534,0.001568862,0.001259497,0.002018108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217093,"about_ca_system_score_gemma":0.0007358799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332048,"about_ca_topic_score_gemma":0.003210123,"domain_scores_codex":[0.9986544,0.0005732467,0.00005438066,0.0002380189,0.000150429,0.0003294929],"domain_scores_gemma":[0.9945774,0.001791808,0.001410297,0.000705679,0.000328542,0.001186304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002830466,0.0006396582,0.05614138,0.0003353457,0.000285083,0.003399205,0.002874436,0.0748018,0.01264625,0.763076,0.02020431,0.0627661],"study_design_scores_gemma":[0.0005971491,0.001862545,0.04721069,0.0001614213,0.0003963914,0.003074388,0.002731199,0.5786458,0.002797542,0.3424046,0.01984705,0.0002712195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525836,0.0004142157,0.05117445,0.006003688,0.0001577176,0.00008747242,0.0003153314,0.0002160558,0.08904761],"genre_scores_gemma":[0.9844748,0.00006044304,0.001774522,0.00008219696,0.00003308422,0.00001306609,0.00002859809,0.000009483698,0.01352384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677629,"threshold_uncertainty_score":0.0561223,"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."}}