{"id":"W4317932088","doi":"10.3390/app13031541","title":"Warranty Cost Analysis for Multi-State Products Protected by Lemon Laws","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Warranty; Product (mathematics); Quality (philosophy); Reliability engineering; Actuarial science; Duration (music); Business; Operations research; Risk analysis (engineering); Computer science; Engineering; Law; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000505005,0.00009099887,0.0001357932,0.0001306042,0.000178814,0.00006012906,0.0001653258,0.00003299279,0.00000602523],"category_scores_gemma":[0.00006506628,0.00007547157,0.00003495365,0.002486851,0.0001203279,0.0001041514,0.00001542699,0.00004914056,0.00002347403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002282342,"about_ca_system_score_gemma":0.00001716112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001743403,"about_ca_topic_score_gemma":0.00004697243,"domain_scores_codex":[0.9991392,0.00000749507,0.0001482411,0.0002808185,0.0001428084,0.0002814643],"domain_scores_gemma":[0.99972,0.0000352214,0.00002769372,0.0001350687,0.00004675797,0.00003528534],"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":[0.000007390505,0.00001609167,0.0001698228,0.00005853731,0.00004274207,1.604038e-7,0.0003994406,0.9466516,0.04471191,0.0002312502,0.002997619,0.004713371],"study_design_scores_gemma":[0.0002138347,0.00001665843,0.0008081774,0.000004112225,0.00002737321,9.533141e-8,0.0001452218,0.9579517,0.036465,0.0002781161,0.003936039,0.0001536256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3309423,0.00007442846,0.6609151,0.0006974453,0.0003299352,0.003485726,0.0001073898,0.001481925,0.001965696],"genre_scores_gemma":[0.9795342,0.00005342694,0.01933153,0.00002523016,0.00001818197,0.0005503697,0.00006986645,0.00001183883,0.0004053589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6485919,"threshold_uncertainty_score":0.3077641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769049162840287,"score_gpt":0.2616556071385514,"score_spread":0.2239651155101485,"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."}}