{"id":"W4283370898","doi":"10.1111/poms.13789","title":"Toward servitization: Optimal design of uptime‐guarantee maintenance contracts","year":2022,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Original equipment manufacturer; Downtime; Service provider; Business; Contract management; Computer science; Profit (economics); Service (business); Operations management; Operations research; Marketing; Microeconomics; Economics","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":[0.0007515537,0.0001528002,0.0001669868,0.0003305267,0.0006275342,0.0001801327,0.0001792147,0.00001633782,0.0004000534],"category_scores_gemma":[0.00004486587,0.0001562526,0.00004003895,0.0005336373,0.00004913042,0.0005448388,0.000333676,0.0001036498,0.00002884858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004375136,"about_ca_system_score_gemma":0.000009524464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007312327,"about_ca_topic_score_gemma":0.000006587816,"domain_scores_codex":[0.9987212,0.00003886903,0.0003182341,0.0003920587,0.000323621,0.0002059826],"domain_scores_gemma":[0.9994765,0.000009193193,0.0001063199,0.0002667068,0.000132003,0.000009298419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006965419,0.0001998425,0.0002494421,0.0001754163,0.0000776781,0.00001030486,0.0002647468,0.9077719,0.0001207651,0.07191289,0.01449606,0.004651295],"study_design_scores_gemma":[0.001743409,0.0001076509,0.002267273,0.00008756538,0.0003348218,0.00002432752,0.01159328,0.6096012,0.0001801837,0.001755905,0.3715607,0.0007437104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0696171,0.0008921204,0.8246133,0.06113002,0.003855772,0.006394261,0.00002043935,0.0007472437,0.03272977],"genre_scores_gemma":[0.9857238,0.0001074932,0.005819742,0.001457204,0.0003208398,0.0002779809,0.00004850126,0.00002208021,0.006222351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9161067,"threshold_uncertainty_score":0.6371796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190075546935579,"score_gpt":0.2096925354700782,"score_spread":0.1877917800007224,"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."}}