{"id":"W2131326349","doi":"10.1111/j.1571-9979.2004.00036.x","title":"Constraining a Principal’s Choice: Outcome versus Behavior Contingent Agency Contracts in Representative Negotiations","year":2004,"lang":"en","type":"article","venue":"Negotiation Journal","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Principal (computer security); Negotiation; Outcome (game theory); Principal–agent problem; Agency (philosophy); Microeconomics; Economics; Social psychology; Business; Actuarial science; Psychology; Political science; Sociology; Law; Management; Computer science; Corporate governance; Computer security","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":[0.001348589,0.0001702391,0.0002371266,0.0003832697,0.0008281464,0.0003455205,0.0002596452,0.0001263485,0.0006778176],"category_scores_gemma":[0.002101651,0.0001876868,0.0001354516,0.000567144,0.0001353264,0.001101121,0.00003952635,0.0004610868,0.00006780556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971871,"about_ca_system_score_gemma":0.000439592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093795,"about_ca_topic_score_gemma":0.00689846,"domain_scores_codex":[0.9974434,0.0002885324,0.00077653,0.0002719602,0.0007163371,0.0005031915],"domain_scores_gemma":[0.9983979,0.000338843,0.0006091643,0.0001522983,0.0002724176,0.0002293759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001732848,0.0006273315,0.7425559,0.00001131634,0.0001343497,0.0001529327,0.1471733,0.002699636,0.0006279923,0.0783043,0.0003395402,0.0272002],"study_design_scores_gemma":[0.00803653,0.0001170862,0.9585143,0.0000593976,0.0001258335,0.000007907877,0.01238789,0.0000908761,0.00007755795,0.0009776,0.01924445,0.0003606161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609294,0.0001113906,0.002489281,0.00516889,0.002430596,0.0008580442,0.000005081758,0.0001050456,0.02790227],"genre_scores_gemma":[0.9977865,0.0001110994,0.0006971059,0.000221635,0.000644978,0.00004359391,0.00001334007,0.00001567535,0.0004660509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2159584,"threshold_uncertainty_score":0.7653647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213577675245686,"score_gpt":0.4255336989870671,"score_spread":0.3041759314624985,"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."}}