{"id":"W2087335156","doi":"10.5942/jawwa.2014.106.0019","title":"Predicting the potential of contaminant intrusion in water distribution systems","year":2013,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Systems and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Intrusion; Environmental science; Fuzzy logic; Groundwater; Distribution (mathematics); Environmental engineering; Petroleum engineering; Computer science; Engineering; Geology; Geotechnical engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003723172,0.0001063834,0.0002015195,0.00004984448,0.0000571617,0.00009186254,0.00008620288,0.00007372169,0.00001307586],"category_scores_gemma":[0.00001306687,0.00005754492,0.0000378759,0.000132644,0.00002070219,0.0002528221,0.00003023077,0.0001245333,0.00003026189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032157,"about_ca_system_score_gemma":0.000002736439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337826,"about_ca_topic_score_gemma":0.0001060913,"domain_scores_codex":[0.9989121,0.0001025515,0.0003895364,0.0001077695,0.0001971833,0.000290875],"domain_scores_gemma":[0.9996337,0.00002593126,0.0001050256,0.0001195035,0.0000923238,0.00002355462],"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":[0.0000130112,0.00004333512,0.1606941,0.00008509895,0.0001103875,0.000001919084,0.004932533,0.8014069,0.02488933,0.0000277092,0.002510863,0.00528485],"study_design_scores_gemma":[0.0005263647,0.00006512211,0.1324281,0.0001887341,0.00003875299,0.000003016755,0.002114226,0.8475921,0.01605833,0.00003221108,0.0006919677,0.0002609955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839939,0.00003771781,0.01457205,0.0002151763,0.0006092047,0.0003727889,0.000005784016,0.00007048773,0.0001228364],"genre_scores_gemma":[0.9993696,0.00003054721,0.00001908357,0.000007785059,0.000126631,0.00006976465,0.0001872761,0.00001710088,0.0001721662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04618526,"threshold_uncertainty_score":0.5106941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001801567469716327,"score_gpt":0.153928411014107,"score_spread":0.1521268435443907,"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."}}