{"id":"W4243230300","doi":"10.5194/dwesd-3-25-2010","title":"I-WARP: individual water main renewal planner","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breakage; Mains electricity; Foundation (evidence); Margin (machine learning); Environmental science; Electricity; Civil engineering; Engineering; Computer science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617094,0.0002451637,0.0002250067,0.0001075922,0.00002866635,0.0001495815,0.0002468323,0.0005924709,0.0004828428],"category_scores_gemma":[0.000002380234,0.0001685404,0.00006747241,0.00002059375,0.00001154599,0.00005083606,0.0002694606,0.0005613575,0.000188959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002759692,"about_ca_system_score_gemma":0.0000111478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390561,"about_ca_topic_score_gemma":0.0006268241,"domain_scores_codex":[0.999047,0.00001566226,0.0002629039,0.0002317313,0.0001679901,0.0002746608],"domain_scores_gemma":[0.9995166,0.000006012666,0.00001810896,0.0003664497,0.00002127706,0.00007152422],"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":[0.000004968653,0.00001773946,0.0002488965,0.0003926679,0.0001977919,0.00002691931,0.002168513,0.8808848,0.001330855,0.0002906201,0.11396,0.0004762375],"study_design_scores_gemma":[0.002048845,0.00008995953,0.001612452,0.000588031,0.0003308097,0.0001487122,0.0002715056,0.4648851,0.1876712,0.009188829,0.3279055,0.005259104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431606,0.0002776106,0.1219239,0.0005497454,0.02818005,0.00156691,0.0005428619,0.004105524,0.2996927],"genre_scores_gemma":[0.9825556,0.00001096674,0.004913806,0.00003750833,0.0008844736,0.00005302725,0.0009939376,0.0000810759,0.01046957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.439395,"threshold_uncertainty_score":0.6872877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144935850889463,"score_gpt":0.1879727508695785,"score_spread":0.1765233923606838,"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."}}