{"id":"W2902046593","doi":"","title":"Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy.","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maintenance engineering; Failure rate; Computer science; Reliability engineering; Business; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020816,0.001050359,0.000440656,0.001461793,0.000499823,0.002286572,0.0006746176,0.001148605,0.002545681],"category_scores_gemma":[0.0140749,0.0003711863,0.0003207979,0.0008292419,0.000629022,0.003668467,0.0005969711,0.001368212,0.0006457167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410464,"about_ca_system_score_gemma":0.0005229962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643974,"about_ca_topic_score_gemma":0.004576718,"domain_scores_codex":[0.9990774,0.0004318877,0.00006412799,0.000106929,0.0002836343,0.00003602775],"domain_scores_gemma":[0.9948642,0.00330487,0.0008451595,0.0003705513,0.0004260866,0.0001892013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008051104,0.0002532139,0.02821569,0.0009890427,0.0001389659,0.0005971689,0.003080658,0.1117953,0.03597784,0.04217638,0.04955141,0.7264192],"study_design_scores_gemma":[0.0001256023,0.0005865549,0.06300631,0.0004022622,0.0001700118,0.001422069,0.002573628,0.6554376,0.03426254,0.1551524,0.08641458,0.000446407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1126921,0.003444463,0.8461212,0.009787648,0.0004149743,0.0001710168,0.001740424,0.007808601,0.01781949],"genre_scores_gemma":[0.6259544,0.001848822,0.3666022,0.0003722325,0.0001453768,0.0001200391,0.0005951431,0.0006509394,0.003710801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003643974,"threshold_uncertainty_score":0.01100868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004028357251407677,"score_gpt":0.2193198951676996,"score_spread":0.2152915379162919,"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."}}