{"id":"W101753513","doi":"10.23940/ijpe.13.2.p191.mag","title":"Optimal Unlimited Free-Replacement Warranty Strategy using Reconditioned Products","year":2013,"lang":"en","type":"article","venue":"International Journal of Performability Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Warranty; Remanufacturing; Profit (economics); Production (economics); Product (mathematics); Quality (philosophy); Vendor; Computer science; Business; Risk analysis (engineering); Reliability engineering; Operations research; Manufacturing engineering; Microeconomics; Economics; Engineering; Mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008199888,0.0002111426,0.0002249486,0.0006487255,0.0000748947,0.0004573903,0.0007055301,0.00005224799,0.001080813],"category_scores_gemma":[0.0006061233,0.0001992515,0.0001214963,0.0003035167,0.00004125165,0.003477321,0.0002636839,0.0002690104,0.00004231756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004940838,"about_ca_system_score_gemma":0.00006394932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773123,"about_ca_topic_score_gemma":0.000002280869,"domain_scores_codex":[0.998054,0.00001002208,0.0007301266,0.0002019361,0.0006913721,0.0003125737],"domain_scores_gemma":[0.9975355,0.00004103428,0.0004171417,0.0002673861,0.001709685,0.00002922792],"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":[0.0001553977,0.0002531094,0.00932553,0.0003797864,0.0004235855,0.00004544558,0.0001610524,0.9756034,0.005324433,0.001676633,0.003072357,0.003579242],"study_design_scores_gemma":[0.002306169,0.00007679272,0.0257976,0.0001668074,0.00009681192,0.00008317935,0.001848747,0.9565488,0.001345434,0.001027806,0.01020475,0.0004970949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853315,0.00003401637,0.01052513,0.001734884,0.001620217,0.0003411622,0.000002818208,0.00005785971,0.0003524121],"genre_scores_gemma":[0.992614,0.000004931583,0.005126005,0.0002070319,0.001940046,0.00001357837,0.00001774038,0.00002744523,0.00004924477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905462,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259597775068126,"score_gpt":0.2143713445240828,"score_spread":0.2017753667734015,"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."}}