{"id":"W7048462408","doi":"","title":"LeakFinder - a new PC-based pipeline leak detection system","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leak detection; Pipeline (software); Leak; Pipeline transport","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006896385,0.0005553465,0.0008898947,0.00167145,0.0007605188,0.0009455911,0.001044785,0.0009014421,0.0557194],"category_scores_gemma":[0.00147846,0.0005699356,0.000199975,0.0006310374,0.0002448778,0.00226557,0.0007301804,0.0006310492,0.01746102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003595666,"about_ca_system_score_gemma":0.0006598441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184523,"about_ca_topic_score_gemma":0.003249283,"domain_scores_codex":[0.9993939,0.00004010943,0.00002309762,0.0001306388,0.0003584763,0.00005371884],"domain_scores_gemma":[0.9987928,0.0001282191,0.00005867356,0.0002006212,0.000677305,0.0001422582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002208444,0.0003864311,0.00872032,0.0002498131,0.0000660037,0.00036955,0.0001999334,0.00169611,0.1832927,0.001520074,0.1371328,0.6641578],"study_design_scores_gemma":[0.0008715235,0.001795378,0.02605651,0.00006929052,0.0002026238,0.001831118,0.0001546824,0.1855858,0.449612,0.0020391,0.3314983,0.0002838455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1777114,0.001153732,0.5052141,0.001250526,0.001026949,0.001357575,0.004946444,0.2378671,0.06947216],"genre_scores_gemma":[0.4768389,0.000537371,0.2591213,0.0007213602,0.000696489,0.0003918005,0.008899917,0.003913604,0.2488792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0557194,"threshold_uncertainty_score":0.1864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008483619923606854,"score_gpt":0.2041813564847474,"score_spread":0.1956977365611405,"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."}}