{"id":"W2002649216","doi":"10.1002/nav.20370","title":"Dynamic signatures and their use in comparing the reliability of new and used systems","year":2009,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada","keywords":"Component (thermodynamics); Signature (topology); Reliability (semiconductor); Property (philosophy); Computer science; Representation (politics); Residual; Independent and identically distributed random variables; Element (criminal law); Reliability engineering; Reliability theory; Theoretical computer science; Algorithm; Mathematics; Failure rate; Random variable; Statistics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001348345,0.00009761471,0.0002229802,0.0000746254,0.0001305618,0.0001012137,0.0001645379,0.00008400535,0.000008758066],"category_scores_gemma":[0.0100029,0.00006354333,0.00001903457,0.000295688,0.0004146782,0.00005190498,0.00007230009,0.0004149862,0.000002026458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007097868,"about_ca_system_score_gemma":0.00007562071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002747029,"about_ca_topic_score_gemma":0.0001616481,"domain_scores_codex":[0.9986732,0.000216899,0.0003303794,0.0002065285,0.0003365594,0.00023644],"domain_scores_gemma":[0.9940253,0.005232032,0.00006653927,0.0003130862,0.0002470364,0.0001160009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003916749,0.00013339,0.001537087,0.00009116096,0.000005976117,0.000001489681,0.0003621125,0.0005458989,0.0007372893,0.9938093,0.001554057,0.001183098],"study_design_scores_gemma":[0.0004385277,0.00008539636,0.1029278,0.00008335966,0.000008334267,0.000002897038,0.0004315139,0.3849267,0.00009077293,0.5106521,0.0002590112,0.00009362904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5877383,0.0003271102,0.4081903,0.001287093,0.00003118895,0.00101554,0.0001939344,0.00004752773,0.001169006],"genre_scores_gemma":[0.9972297,0.00004189242,0.002550495,0.00001438658,0.000008965784,0.00001309552,0.00001707856,0.000005658075,0.0001187352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4831572,"threshold_uncertainty_score":0.9983363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3197400540967099,"score_gpt":0.4742333475043197,"score_spread":0.1544932934076098,"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."}}