{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002301383,0.001180775,0.001092409,0.0015905,0.0004727438,0.001615774,0.002888828,0.002239244,0.005707195],"category_scores_gemma":[0.004333077,0.0007711322,0.000890822,0.001159482,0.0009191389,0.001610825,0.0006608082,0.001366138,0.0008200426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200822,"about_ca_system_score_gemma":0.001102565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007924202,"about_ca_topic_score_gemma":0.004505272,"domain_scores_codex":[0.9990959,0.0003088869,0.00005092381,0.0001356535,0.000234233,0.0001743034],"domain_scores_gemma":[0.998183,0.0008157927,0.0004777033,0.0001107623,0.000251467,0.0001612488],"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":[0.00007193753,0.00004731959,0.0004179381,0.00003499779,0.00001510781,0.0001673083,0.00003160421,0.9710647,0.000455119,0.02302101,0.0005176046,0.004155289],"study_design_scores_gemma":[0.00001333916,0.00003720031,0.0002827996,0.000007467144,0.00001612128,0.00004646479,0.00001164454,0.9910704,0.0001255215,0.007843563,0.0005360307,0.000009371061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2996212,0.002548507,0.6668229,0.002286771,0.0002175008,0.0001947877,0.001623296,0.0004591595,0.02622597],"genre_scores_gemma":[0.9695143,0.0007420285,0.01119788,0.00006661473,0.00007564407,0.0001011132,0.0002956835,0.00005135045,0.01795529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007924202,"threshold_uncertainty_score":0.0190925,"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."}}