{"id":"W4304203128","doi":"10.1007/s10479-022-04595-6","title":"Optimal pricing in the presence of IoT investment and quality-dependent demand","year":2022,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; American University of Sharjah","keywords":"Stackelberg competition; Supply chain; Context (archaeology); Revenue; Quality (philosophy); Computer science; Internet of Things; Investment (military); Supply chain management; Business; Industrial organization; Marketing; Microeconomics; Computer security; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005243615,0.001747863,0.004676595,0.001143695,0.001038632,0.006238465,0.002957648,0.005336522,0.005174148],"category_scores_gemma":[0.02143111,0.003176565,0.001573444,0.001801369,0.003851918,0.006774277,0.002382822,0.00472445,0.0003184841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003576841,"about_ca_system_score_gemma":0.00289846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530212,"about_ca_topic_score_gemma":0.01030166,"domain_scores_codex":[0.9969136,0.001228253,0.0001292799,0.0004837646,0.0003382861,0.0009067521],"domain_scores_gemma":[0.9773107,0.01857046,0.001570715,0.0004453453,0.001127877,0.0009749428],"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":[0.0003383853,0.0001727267,0.001717691,0.0001405461,0.0001202946,0.0005995758,0.0000935218,0.9008155,0.0009780892,0.08788867,0.002461619,0.004673458],"study_design_scores_gemma":[0.00003009638,0.00003597174,0.0005164865,0.00001075394,0.00002978629,0.00005915541,0.00006303658,0.9687274,0.00009941742,0.03016697,0.0002316441,0.00002923542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4625445,0.003723543,0.478427,0.01592142,0.001119429,0.0002263957,0.001050133,0.0003859308,0.03660169],"genre_scores_gemma":[0.9897859,0.0005227342,0.004707916,0.00014372,0.0001983123,0.00002017339,0.0001161421,0.00004521796,0.004459778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530212,"threshold_uncertainty_score":0.03042608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2587012909470079,"score_gpt":0.4164359164443346,"score_spread":0.1577346254973268,"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."}}