{"id":"W2900775418","doi":"10.2139/ssrn.3235866","title":"Incentive Design for Operations-Marketing Multitasking","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human multitasking; Incentive; Business; Marketing; Computer science; Process management; Economics; Microeconomics; Psychology","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":[0.004466382,0.0001527545,0.0001423889,0.000212213,0.0009671061,0.0004223167,0.0002419716,0.00004977644,0.0001206566],"category_scores_gemma":[0.0005133341,0.0001413626,0.00009786418,0.0002665431,0.00004963817,0.0009388969,0.00006939934,0.0005428276,0.00006542757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219492,"about_ca_system_score_gemma":0.0003728539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113513,"about_ca_topic_score_gemma":0.0009652712,"domain_scores_codex":[0.9978636,0.00004444284,0.0002707531,0.0002062499,0.000165227,0.001449721],"domain_scores_gemma":[0.9991994,0.0001529723,0.0001342847,0.0001139958,0.0003866988,0.00001267206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001551263,0.0002465438,0.04783954,0.00009218596,0.0004653671,0.000008120286,0.0004326151,0.0003731531,0.00793869,0.1159709,0.002356927,0.8227248],"study_design_scores_gemma":[0.01894952,0.0009207377,0.05555162,0.001171847,0.002800754,0.0005652942,0.02655883,0.3545246,0.00192766,0.2891299,0.2424527,0.005446591],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3596333,0.0008614712,0.6321215,0.0008620172,0.001178451,0.0007141285,0.000001361817,0.0001327033,0.00449504],"genre_scores_gemma":[0.9946424,0.00009131605,0.002001152,0.0003099153,0.002418895,0.00002002097,0.000004955882,0.00003287839,0.0004784471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8172781,"threshold_uncertainty_score":0.7438296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185261122337167,"score_gpt":0.260538846681093,"score_spread":0.2386862354577213,"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."}}