{"id":"W2187722107","doi":"10.2166/jh.2006.004","title":"A GIS-based tool for distribution system data integration and analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geographic information system; Water quality; Sampling (signal processing); Computer science; Distribution (mathematics); Key (lock); Software; Quality (philosophy); Data quality; Data mining; Data integration; Data science; Data collection; Systems engineering; Engineering; Remote sensing; Geography; Statistics; Telecommunications; Operations management; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003673176,0.002036124,0.001429013,0.005826883,0.001031983,0.002962278,0.002170918,0.001218874,0.03053834],"category_scores_gemma":[0.009062626,0.00149357,0.001532001,0.006929153,0.0006519163,0.003426481,0.002375346,0.002107623,0.009349086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009791702,"about_ca_system_score_gemma":0.001932654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422449,"about_ca_topic_score_gemma":0.004531371,"domain_scores_codex":[0.998536,0.0003243984,0.0002702276,0.0002013429,0.0005849717,0.00008312312],"domain_scores_gemma":[0.995908,0.002419747,0.0002295612,0.0005958719,0.0006647359,0.0001820838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005456263,0.0005610902,0.005323745,0.002275216,0.0006657782,0.002350769,0.002515745,0.06400129,0.0169511,0.03365802,0.3105622,0.5605894],"study_design_scores_gemma":[0.000624934,0.0002200533,0.005861828,0.0006412609,0.0002373025,0.001483149,0.0009175538,0.3819315,0.02507414,0.05136413,0.5313045,0.0003397053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003035733,0.0001248041,0.8264214,0.0002554116,0.00009475563,0.0006768784,0.01989704,0.1444568,0.005037125],"genre_scores_gemma":[0.03335455,0.0002665055,0.9163137,0.0002092911,0.00004164011,0.001759152,0.03423301,0.00896507,0.004857157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03053834,"threshold_uncertainty_score":0.1021609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132747043675737,"score_gpt":0.2714596516318659,"score_spread":0.2501321811951085,"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."}}