{"id":"W584413780","doi":"","title":"IMPROVED DECISION-MAKING THROUGH EFFECTIVE ASSET MANAGEMENT","year":2003,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset management; Pavement management; Asset (computer security); Perspective (graphical); Computer science; Risk analysis (engineering); Operations research; Business; Transport engineering; Engineering; Finance; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007860875,0.001267225,0.001270864,0.001920409,0.001104308,0.006275068,0.002167874,0.001990024,0.005115767],"category_scores_gemma":[0.01258451,0.0004809347,0.0006328009,0.001741593,0.002132481,0.006059587,0.004842771,0.001893339,0.001168266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652047,"about_ca_system_score_gemma":0.003689486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670455,"about_ca_topic_score_gemma":0.00369531,"domain_scores_codex":[0.994689,0.002466996,0.000295493,0.0007606093,0.001298459,0.0004895577],"domain_scores_gemma":[0.9951852,0.002659851,0.0005418129,0.0007681057,0.0005649097,0.0002801177],"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":[0.0001496904,0.0004651346,0.003918457,0.0003999544,0.0002427361,0.0004189984,0.001158263,0.2798919,0.003232334,0.2387505,0.01015074,0.4612213],"study_design_scores_gemma":[0.00008471941,0.0001540749,0.001470937,0.0003152824,0.0001112773,0.000131882,0.001365526,0.2893557,0.002152666,0.6664872,0.03829083,0.00007995053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03654699,0.00151139,0.8999383,0.01072554,0.0001746738,0.000248675,0.0001804903,0.0007626555,0.04991127],"genre_scores_gemma":[0.6441233,0.001907043,0.3492817,0.0006660593,0.0002452496,0.0002629644,0.0003085744,0.00007469978,0.003130404],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007860875,"threshold_uncertainty_score":0.04157275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00299371564213997,"score_gpt":0.2278220896208454,"score_spread":0.2248283739787054,"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."}}