{"id":"W4386158334","doi":"10.32920/24034098","title":"Stochastic Degradation Modelling for Parks Pathways","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Degradation (telecommunications); Investment (military); Pareto principle; Computer science; Homogeneous; Asset (computer security); Markov chain; Stochastic frontier analysis; Operations research; Economics; Engineering; Operations management; Mathematics; Microeconomics; Geography","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":[0.0006412715,0.0005299551,0.000612458,0.000673118,0.0003615518,0.0009865632,0.0008948935,0.0009282756,0.002529838],"category_scores_gemma":[0.001734796,0.0003430801,0.001072003,0.0006438105,0.0007948424,0.0006976922,0.0006742001,0.0007794775,0.0002395018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155305,"about_ca_system_score_gemma":0.00112352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445885,"about_ca_topic_score_gemma":0.01166903,"domain_scores_codex":[0.9995565,0.0001055901,0.00002609837,0.0001010992,0.0001057829,0.0001049146],"domain_scores_gemma":[0.9992466,0.0003344158,0.0001463281,0.00004326434,0.0001630758,0.00006642123],"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":[0.00001049191,0.000005114713,0.000406862,0.000007782156,0.000004906244,0.00002583567,0.00001378119,0.994974,0.0003345087,0.003497041,0.0000941575,0.0006256279],"study_design_scores_gemma":[0.00000202742,0.000005941192,0.0001885524,0.000002321376,0.000003223966,0.000009253936,0.000008715798,0.9980652,0.0001265241,0.001420468,0.0001642021,0.000003498274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.272367,0.0007310147,0.7111148,0.0006679193,0.00009004313,0.00009578132,0.001323608,0.0003994209,0.01321037],"genre_scores_gemma":[0.9849635,0.0003640031,0.007635671,0.00003535336,0.00001597667,0.0000650401,0.000386126,0.00003585719,0.006498548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03445885,"threshold_uncertainty_score":0.06851655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068083931142869,"score_gpt":0.2405702921255912,"score_spread":0.1898894528141625,"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."}}