{"id":"W2886647138","doi":"10.1111/poms.12935","title":"Supply Diagnostic Incentives under Endogenous Information Asymmetry","year":2018,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Information asymmetry; Incentive; Business; Industrial organization; Test (biology); Process (computing); Microeconomics; Operations management; Marketing; Economics; Computer science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003374139,0.0001773573,0.0001141288,0.000499336,0.0006779783,0.000658492,0.0001429406,0.00003252757,0.0005462741],"category_scores_gemma":[0.0001380196,0.0001692554,0.00003524832,0.0005274494,0.0001339731,0.00288672,0.0002477142,0.00007013238,0.001167862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005398881,"about_ca_system_score_gemma":0.000006726848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298905,"about_ca_topic_score_gemma":0.000115606,"domain_scores_codex":[0.9988819,0.00001534677,0.0002937509,0.0003096817,0.0002552324,0.0002440883],"domain_scores_gemma":[0.9994135,0.00001145843,0.00007270794,0.0002851253,0.000198274,0.00001889769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000649545,0.0004721511,0.00881465,0.0005426007,0.0002701697,0.000006684584,0.000773938,0.002011562,0.0001799741,0.7949166,0.07843257,0.1135141],"study_design_scores_gemma":[0.001001455,0.00007082251,0.04134877,0.0001142269,0.0002388852,0.000009702505,0.00633159,0.005808025,0.0006605987,0.004138909,0.9395848,0.0006922044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3076991,0.0006454801,0.04141915,0.03386038,0.01093543,0.005979765,0.0000127239,0.001292992,0.598155],"genre_scores_gemma":[0.9904498,0.0002005186,0.0006462259,0.004939454,0.001485658,0.0001510479,0.00009279269,0.000014855,0.002019663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8611522,"threshold_uncertainty_score":0.9996098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193072740501754,"score_gpt":0.2134617078047237,"score_spread":0.1941544337545483,"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."}}