{"id":"W4283024615","doi":"10.1002/aws2.1288","title":"Evaluating satellite and in situ monitoring technologies for leak detection and response","year":2022,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Water Systems and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"California Energy Commission","keywords":"Leak detection; Casual; Leak; Environmental science; Emerging technologies; Continuous monitoring; Satellite; Computer science; Remote sensing; Environmental resource management; Operations management; Engineering; Geology; Environmental engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002432853,0.0007019389,0.0004514479,0.001268592,0.0004863347,0.001093736,0.0007902831,0.0005300425,0.001097326],"category_scores_gemma":[0.004043013,0.0003603613,0.0004276102,0.0008722287,0.0002989472,0.001094456,0.0004831034,0.0004050078,0.0002055154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196497,"about_ca_system_score_gemma":0.0009621442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03989601,"about_ca_topic_score_gemma":0.05833117,"domain_scores_codex":[0.9977762,0.0007464681,0.0001386647,0.0003391822,0.0008768676,0.000122594],"domain_scores_gemma":[0.9952898,0.001211684,0.0008043937,0.0002676754,0.002270637,0.000155719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004602956,0.006650043,0.4524012,0.001004134,0.0005854692,0.0002318414,0.0009269588,0.05332013,0.2067941,0.0004984465,0.004171572,0.2688132],"study_design_scores_gemma":[0.0008371639,0.03720988,0.4557122,0.0001507462,0.001098162,0.0003467277,0.003596258,0.2317391,0.2577516,0.0003030269,0.01103656,0.0002185583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870418,0.0002453416,0.008844498,0.0001192436,0.00004426532,0.0003338877,0.0003970292,0.0002067154,0.002767201],"genre_scores_gemma":[0.9859083,0.0001921368,0.0118889,0.00005468483,0.00001640233,0.0001142903,0.0003042179,0.00001650826,0.001504515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03989601,"threshold_uncertainty_score":0.07932758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670939516937652,"score_gpt":0.2669360153507071,"score_spread":0.2402266201813306,"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."}}