{"id":"W7020253716","doi":"","title":"LeakFinder - new pipeline leak detection system","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Leak detection; Software; Pipeline (software); Leak; Pipeline transport; Flexibility (engineering); Wireless; Transmission (telecommunications)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003661327,0.000498205,0.0009216839,0.0009612115,0.0004382717,0.000497442,0.0009838106,0.0005752802,0.008141037],"category_scores_gemma":[0.0006399266,0.0003826224,0.0002023379,0.0005711815,0.0002330676,0.00139494,0.0008853712,0.000606087,0.002845558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781091,"about_ca_system_score_gemma":0.0008072978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438165,"about_ca_topic_score_gemma":0.001684746,"domain_scores_codex":[0.9994968,0.00003843787,0.00001930038,0.0001254995,0.0002875898,0.00003232221],"domain_scores_gemma":[0.9997535,0.00002254439,0.00003576765,0.00003327736,0.0001309821,0.000023954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.0009870732,0.0002744067,0.004865082,0.0005884771,0.00007586623,0.0003601941,0.0001876255,0.03144088,0.2012152,0.006080402,0.0618103,0.6921145],"study_design_scores_gemma":[0.0005614146,0.001115203,0.01301566,0.00006380548,0.0001739956,0.001403455,0.00005660707,0.6386515,0.1484565,0.002816622,0.1933959,0.0002893103],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05066282,0.0005988581,0.901466,0.0003887503,0.000232751,0.0003233545,0.00133522,0.03400278,0.01098941],"genre_scores_gemma":[0.5483353,0.0007744179,0.3914222,0.0005276012,0.0002651014,0.0005803511,0.004304702,0.000654246,0.05313602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008141037,"threshold_uncertainty_score":0.02723449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931457570708593,"score_gpt":0.1764841492612632,"score_spread":0.1671695735541772,"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."}}