{"id":"W3121525487","doi":"10.1287/mnsc.2020.3651","title":"Incentive Design for Operations-Marketing Multitasking","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human multitasking; Incentive; Unobservable; Moral hazard; Profit (economics); Business; Marketing; Computer science; Operations research; Economics; Microeconomics; Engineering; Econometrics","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":[0.006224133,0.00007102262,0.0000841699,0.0001382836,0.001076335,0.0004801833,0.001052531,0.00001176981,0.0001582399],"category_scores_gemma":[0.00277198,0.00005755636,0.00004009637,0.001822397,0.0002724772,0.0006433153,0.0002677816,0.00004077962,0.0003214915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003007659,"about_ca_system_score_gemma":0.00002455082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.716159e-7,"about_ca_topic_score_gemma":4.911311e-7,"domain_scores_codex":[0.9981422,0.0001040202,0.0002836071,0.0005666438,0.0006965437,0.0002069518],"domain_scores_gemma":[0.9987381,0.0006066166,0.00007832842,0.0002862705,0.0001839381,0.0001067376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001209647,0.00009171634,0.0006580005,0.00001696694,0.00001959261,0.000002708116,0.002545514,0.1598813,0.008209659,0.5860147,0.01480645,0.2276324],"study_design_scores_gemma":[0.0005563374,0.00006593818,0.004762817,0.00001762555,0.00002208285,7.623863e-7,0.008311788,0.8437128,0.007131143,0.03829455,0.09680653,0.0003176074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005173514,0.000008380604,0.9817933,0.004141726,0.0001268929,0.0006612637,0.00000386501,0.00005370018,0.008037335],"genre_scores_gemma":[0.8835735,0.000002524625,0.1141043,0.001129027,0.00005136008,0.0001151818,7.608283e-7,0.000003769588,0.001019564],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8784,"threshold_uncertainty_score":0.8278408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044330362689398,"score_gpt":0.4094809755954522,"score_spread":0.2050479393265124,"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."}}