{"id":"W3037853485","doi":"10.1680/jinam.19.00064","title":"Decision making methods to prioritise asset-management plans for municipal infrastructure","year":2020,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Silo; Asset management; Service level; Level of service; Service (business); Asset (computer security); Measure (data warehouse); Fixed asset; Operations research; Business; Transport engineering; Computer science; Environmental economics; Risk analysis (engineering); Operations management; Finance; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01161195,0.001846871,0.001274485,0.004464195,0.001043212,0.003137695,0.001446356,0.0009180457,0.00587145],"category_scores_gemma":[0.01937919,0.0007273087,0.001277057,0.002999904,0.0009686946,0.001930869,0.00145718,0.001350489,0.0004230643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00329062,"about_ca_system_score_gemma":0.004079552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004609669,"about_ca_topic_score_gemma":0.007564898,"domain_scores_codex":[0.9929595,0.00388626,0.0004483126,0.000513597,0.001892345,0.000300064],"domain_scores_gemma":[0.9875405,0.009336421,0.001249413,0.0003809143,0.00122845,0.0002642109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000170312,0.0002860829,0.003311495,0.0005222808,0.0003069229,0.0001011031,0.0005274029,0.7059007,0.001782578,0.05323125,0.001670123,0.2321898],"study_design_scores_gemma":[0.00008533613,0.0002932262,0.001177854,0.0001997488,0.00008616731,0.0000577347,0.0004160325,0.9419097,0.002198484,0.04740015,0.006115953,0.00005957773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01435189,0.0002077811,0.9783823,0.0002406807,0.00003192413,0.000519715,0.0002524808,0.0002686022,0.00574457],"genre_scores_gemma":[0.1873874,0.0001761936,0.8104456,0.0000688668,0.0000199121,0.0007383903,0.0002400993,0.00005019842,0.0008733084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01161195,"threshold_uncertainty_score":0.06141061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098096570642253,"score_gpt":0.3035599714952847,"score_spread":0.2925790057888621,"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."}}