{"id":"W2136354326","doi":"10.1002/nav.20037","title":"Warranty costs: An age‐dependent failure/repair model","year":2004,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Office of Naval Research","keywords":"Warranty; Product (mathematics); Failure rate; Hazard; Function (biology); Poisson distribution; Computer science; Poisson process; Reliability engineering; Operations research; Mathematics; Engineering; Statistics","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":[0.001557606,0.0002026315,0.0002258209,0.0001844748,0.0002141535,0.0001329867,0.0004228387,0.0002429682,0.00004206089],"category_scores_gemma":[0.001413056,0.0001925025,0.00008566926,0.0003618448,0.0003131391,0.0002665342,0.0001084011,0.000882124,0.0001465742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104285,"about_ca_system_score_gemma":0.000195859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205082,"about_ca_topic_score_gemma":0.0006546881,"domain_scores_codex":[0.99743,0.0001021984,0.0003221491,0.0004031915,0.000925526,0.0008169943],"domain_scores_gemma":[0.9984066,0.0001438798,0.00002088193,0.0006511136,0.0004703928,0.0003070681],"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":[0.00003865657,0.0001132724,0.00002074002,0.00008271812,0.00001959532,0.00007458014,0.0002356069,0.9665643,0.002524219,0.02768021,0.001604227,0.001041866],"study_design_scores_gemma":[0.0007317447,0.0002168017,0.00007694503,0.00005985645,0.00001081425,0.000008077734,0.0002815324,0.9536059,0.002098635,0.04119375,0.001428823,0.0002871017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03673245,0.0002166791,0.9365272,0.0004432731,0.0003521782,0.0008343695,0.00009870212,0.001107461,0.02368767],"genre_scores_gemma":[0.9677112,0.0004872826,0.03100542,0.00004195284,0.0001408296,0.00005864537,0.00007363714,0.00005642791,0.0004245827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9309788,"threshold_uncertainty_score":0.7850024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07931213403529234,"score_gpt":0.3429327634649323,"score_spread":0.2636206294296399,"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."}}