{"id":"W4401658233","doi":"10.14488/ijcieom2024_abst_0071_37952","title":"Optimizing Extended Warranty Offerings: A Consumer-Centric Approach in a Competitive Market","year":2024,"lang":"en","type":"article","venue":"Proceedings International Conference on Industrial Engineering and Operations Management","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Warranty; Business; Industrial organization; Computer science; Competitive advantage; Marketing","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":[0.000201703,0.0002242788,0.0001667584,0.0007664701,0.00004952411,0.0003931161,0.0002079127,0.0001053967,0.00009842695],"category_scores_gemma":[0.00001479088,0.0002328171,0.00003962544,0.00034657,0.00002921812,0.0002860501,0.0001014277,0.0004046962,0.000008198531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837616,"about_ca_system_score_gemma":0.00001140071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005651054,"about_ca_topic_score_gemma":0.000001742723,"domain_scores_codex":[0.9989557,0.000004141695,0.0002691196,0.0003346859,0.0001991543,0.0002372045],"domain_scores_gemma":[0.9998108,0.00001678999,0.0000128583,0.00006966774,0.000040781,0.00004911691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002336697,0.00007979965,0.00005460769,0.0002107245,0.0004052822,0.00002684919,0.0003894596,0.03208578,0.0003899211,0.9485455,0.001504751,0.01628399],"study_design_scores_gemma":[0.0007224781,0.0000381867,0.0002341605,0.0004384816,0.00003800516,0.000006901479,0.0009206722,0.9821574,0.000147455,0.0001557926,0.01485901,0.0002814718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1307581,0.001284549,0.09610985,0.003151118,0.006054883,0.00345069,0.00008591004,0.004621007,0.7544839],"genre_scores_gemma":[0.9939139,0.0008228589,0.004240288,0.00002090545,0.00009390794,0.0003146466,0.00002121938,0.00002730247,0.0005449496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500716,"threshold_uncertainty_score":0.9494007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451502304450111,"score_gpt":0.2417874574698115,"score_spread":0.2172724344253104,"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."}}