{"id":"W1978909080","doi":"10.1061/(asce)is.1943-555x.0000252","title":"Framework for Modeling On-Site Productivity of Preventive Maintenance Activities for Wastewater Collection Systems","year":2015,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Flushing; Duration (music); Scheduling (production processes); Engineering; Global Positioning System; Environmental science; Operations research; Operations management","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":[],"consensus_categories":[],"category_scores_codex":[0.00074312,0.0002098186,0.0005960535,0.0002273245,0.00005674487,0.00008323904,0.0001311255,0.0001876515,5.211189e-7],"category_scores_gemma":[0.0001621168,0.0001563855,0.0001529348,0.0001531746,0.0000176142,0.0003703246,0.00001072089,0.0001938988,2.836095e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849506,"about_ca_system_score_gemma":0.00007443238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887328,"about_ca_topic_score_gemma":0.000004848657,"domain_scores_codex":[0.9984642,0.00007346574,0.0007854142,0.0001454825,0.0002993676,0.0002320553],"domain_scores_gemma":[0.9983495,0.00009084894,0.000551457,0.0001822602,0.0007371524,0.00008877605],"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":[0.0002621523,0.00001389046,0.0001560678,0.001084395,0.0001735002,7.184847e-7,0.001816571,0.9887561,0.001017525,0.0007324037,0.005937161,0.00004952269],"study_design_scores_gemma":[0.001339263,0.0006870162,0.00003991359,0.002013354,0.00008009901,0.0001533869,0.003115064,0.9830718,0.005985753,0.001453647,0.001791937,0.0002687699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424585,0.0004136202,0.7492144,0.00001657228,0.006667652,0.001027477,0.00006171199,0.00002956832,0.0001104664],"genre_scores_gemma":[0.9898283,0.000008535261,0.008317026,0.000001740707,0.001394727,0.00007564495,0.000005606075,0.00005009223,0.0003183566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7473698,"threshold_uncertainty_score":0.6377215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609570608280515,"score_gpt":0.231462629342045,"score_spread":0.2153669232592398,"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."}}