{"id":"W4385873659","doi":"10.55274/r0012054","title":"DTPH56-13-T-000003 INO Technologies Assessment of Leak Detection","year":2015,"lang":"en","type":"report","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Leak detection; Leak; Pipeline transport; Pipeline (software); Computer science; Engineering; Computer security; Operating system; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004602144,0.0002340184,0.0004338219,0.0002977484,0.0000190935,0.00002961059,0.0001496503,0.0005694329,0.0000312724],"category_scores_gemma":[0.0000544778,0.0001977784,0.00007588368,0.0002009847,0.00002240581,0.00009735236,0.0000549304,0.000266938,0.00001073092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006262879,"about_ca_system_score_gemma":0.00021801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004579739,"about_ca_topic_score_gemma":0.002895709,"domain_scores_codex":[0.9984838,0.00001310289,0.0004870544,0.0001898492,0.0006560085,0.0001702289],"domain_scores_gemma":[0.9988827,0.000009823632,0.0001416614,0.0003788876,0.0005604071,0.00002656708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004892927,0.00007698138,0.001945234,0.004533408,0.000699246,0.0000208425,0.0001549663,0.5655703,0.00151662,0.0001562578,0.3680737,0.05724758],"study_design_scores_gemma":[0.0005354721,0.0002546266,0.001492249,0.0006787815,0.0001996028,0.0001178496,0.0005627005,0.1261538,0.02133283,0.0002073017,0.8472237,0.001241112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008117684,0.001408293,0.1614266,0.00001432688,0.003983514,0.0005187892,0.00002643821,0.002440857,0.8293694],"genre_scores_gemma":[0.9854004,0.0009522827,0.001698966,8.44881e-7,0.0001638574,0.00006542753,0.00005291554,0.00007350005,0.01159181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845886,"threshold_uncertainty_score":0.8065168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066280785995308,"score_gpt":0.2681335641441276,"score_spread":0.2374707562841746,"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."}}