{"id":"W4413309253","doi":"10.1007/s43684-025-00104-1","title":"Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty","year":2025,"lang":"en","type":"article","venue":"Autonomous Intelligent Systems","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predictive maintenance; Computer science; Operations research; Reliability engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756045,0.0007563806,0.0007117015,0.0004503822,0.0002258531,0.0006169892,0.0008345124,0.0007281333,0.001066515],"category_scores_gemma":[0.002715559,0.0004320125,0.0004043298,0.0003858641,0.0004502686,0.0008244495,0.0006359229,0.0008977297,0.0001140097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008314216,"about_ca_system_score_gemma":0.001204698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008283901,"about_ca_topic_score_gemma":0.00700998,"domain_scores_codex":[0.9997428,0.00006947267,0.000009503937,0.00006229235,0.00005528738,0.00006053472],"domain_scores_gemma":[0.9990774,0.0005995479,0.0001320761,0.00003819323,0.0001009685,0.0000517384],"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":[0.00001571778,0.000009969636,0.0002359829,0.000009726437,0.000006268779,0.000009620578,0.000007814801,0.994575,0.00026911,0.0006649934,0.0000953948,0.004100411],"study_design_scores_gemma":[0.000001391169,0.000008574542,0.00008170021,0.000001171019,0.000002254024,0.000002250952,0.000002344033,0.9992477,0.00008528273,0.0005294553,0.0000370608,8.131753e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1673085,0.0005068803,0.8285296,0.0003084717,0.00003186899,0.00004507774,0.0001248433,0.0004014119,0.002743269],"genre_scores_gemma":[0.9746202,0.0001046526,0.02412625,0.00003715979,0.00001205858,0.00003894112,0.00009576386,0.00002759023,0.0009373303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008283901,"threshold_uncertainty_score":0.01647139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008878740522137751,"score_gpt":0.2512997223482635,"score_spread":0.2424209818261257,"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."}}