{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003724812,0.0008510335,0.0007391393,0.0004449569,0.0002837597,0.0003247747,0.001199397,0.0002943488,0.0001705107],"category_scores_gemma":[0.00008490027,0.0008364479,0.0002754471,0.0008720182,0.0000479536,0.0003458796,0.000707923,0.0006020414,0.00004389369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118702,"about_ca_system_score_gemma":0.00001767601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002648386,"about_ca_topic_score_gemma":0.000009701871,"domain_scores_codex":[0.9961737,0.0000664801,0.0008940563,0.0009780517,0.0006442482,0.001243495],"domain_scores_gemma":[0.9982536,0.0001617864,0.0001438815,0.0008904565,0.0001119631,0.000438296],"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":[0.0002233861,0.00001190518,0.0007169428,0.000971037,0.000666542,0.0001532528,0.001275409,0.2987559,0.001273035,0.005169199,0.09455435,0.596229],"study_design_scores_gemma":[0.002441123,0.0002805009,0.048833,0.0006360115,0.0004656785,0.00004313288,0.001903433,0.03824564,0.001800596,0.01535874,0.8881502,0.001841985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03002042,0.0001653219,0.9483924,0.0003253536,0.004580733,0.002825672,0.0002476491,0.001021405,0.01242105],"genre_scores_gemma":[0.4088776,0.00008033171,0.5881885,0.001403419,0.0008623544,0.0002891513,0.0000689207,0.0001652268,0.00006446783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7935958,"threshold_uncertainty_score":0.9994086,"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."}}