{"id":"W3092538179","doi":"10.1177/0022243720969174","title":"Involving Sales Managers in Sales Force Compensation Design","year":2020,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; University at Buffalo; HEC Montréal; Texas Christian University; Northwestern University","keywords":"Leverage (statistics); Incentive; Negotiation; Sales force; Compensation (psychology); Business; Set (abstract data type); Sales management; Outcome (game theory); Marketing; Microeconomics; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02038477,0.0001022454,0.0002053932,0.0006999919,0.0001876154,0.000526556,0.0003622695,0.00005626974,0.0002404429],"category_scores_gemma":[0.01329764,0.0000953354,0.00006996353,0.0008518641,0.00007838933,0.001922369,0.000207347,0.0005729999,0.00005613524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007696731,"about_ca_system_score_gemma":0.00007138513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207742,"about_ca_topic_score_gemma":0.00002822055,"domain_scores_codex":[0.9974163,0.0006687827,0.0005088132,0.0001585816,0.0008635332,0.0003840057],"domain_scores_gemma":[0.9956056,0.003264504,0.0004487171,0.00009479876,0.0005536987,0.00003270584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03603583,0.0008206468,0.3846883,0.007799631,0.0005120556,0.00166118,0.006424922,0.01584427,0.02727136,0.0479784,0.3362412,0.1347222],"study_design_scores_gemma":[0.005031323,0.0001870003,0.4188992,0.002057571,0.00008737462,0.00005128124,0.04256502,0.2320777,0.0001745995,0.01038152,0.2876443,0.0008431066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382276,0.001352425,0.002154938,0.02918098,0.0003333367,0.0005032811,4.641288e-7,0.00005820473,0.0281888],"genre_scores_gemma":[0.9967096,0.0002529056,0.001045719,0.000844585,0.0009541364,0.000002833409,0.000003264469,0.00002205331,0.0001648497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2162334,"threshold_uncertainty_score":0.9950138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530664120101426,"score_gpt":0.3430900203713527,"score_spread":0.1900236083612102,"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."}}