{"id":"W6910513901","doi":"10.4224/20375027","title":"Condition-based Maintenance Management in Critical Facilities","year":2010,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spare part; Preventive maintenance; Asset (computer security); Maintenance actions; Brake; Asset management; Operational maintenance","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":[0.0004982459,0.0002789885,0.0002327297,0.001266415,0.0005298235,0.0006681014,0.001114346,0.000700986,0.004903246],"category_scores_gemma":[0.001989403,0.0001428742,0.0001384239,0.0005518905,0.0003844954,0.001157267,0.0007497339,0.0002898034,0.0006414176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007088762,"about_ca_system_score_gemma":0.0005436101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003312237,"about_ca_topic_score_gemma":0.003158714,"domain_scores_codex":[0.9993943,0.00009120438,0.00003164052,0.00007418343,0.0002965012,0.0001120651],"domain_scores_gemma":[0.9988562,0.0002794546,0.0002653778,0.0001267549,0.0003083234,0.0001638923],"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":[0.0008239615,0.001014188,0.02480172,0.0006382373,0.00004425374,0.002250484,0.0008772509,0.1090373,0.05065588,0.01909074,0.02423797,0.766528],"study_design_scores_gemma":[0.0004917402,0.004280336,0.1227328,0.0003393748,0.000144986,0.007637402,0.002327122,0.7143607,0.04090279,0.03907838,0.06751583,0.0001885118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070538,0.003492141,0.236086,0.001954228,0.0002110122,0.001102214,0.0009958593,0.003169986,0.04593468],"genre_scores_gemma":[0.9790434,0.0003992961,0.01757704,0.00002961772,0.00004899791,0.00006464068,0.0002980935,0.00002113285,0.002517828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004903246,"threshold_uncertainty_score":0.01640302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454892551053912,"score_gpt":0.3458772573074885,"score_spread":0.3013283317969493,"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."}}