{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649359,0.0006508193,0.0005396858,0.002166882,0.001447054,0.002418393,0.001302351,0.001955074,0.1829528],"category_scores_gemma":[0.003687795,0.0004453854,0.0004876783,0.001291141,0.0005547492,0.001126029,0.001464719,0.001046611,0.1170565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111227,"about_ca_system_score_gemma":0.006350712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02868601,"about_ca_topic_score_gemma":0.03888247,"domain_scores_codex":[0.9974169,0.0003038932,0.00007794574,0.0001985191,0.001724231,0.0002785281],"domain_scores_gemma":[0.9959245,0.0004583078,0.0001317939,0.0005211832,0.002676371,0.0002878523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008898951,0.001937916,0.01759483,0.0004853405,0.00007894373,0.000598151,0.0002810151,0.007386539,0.04209518,0.01952829,0.5928825,0.3162414],"study_design_scores_gemma":[0.0001237425,0.00086126,0.01087581,0.000144758,0.00002623789,0.0004854063,0.0002564301,0.008388855,0.0408922,0.0015001,0.9364002,0.00004510524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01288811,0.0002248464,0.01195352,0.0007832598,0.0003337478,0.001301957,0.01959679,0.003824221,0.9490936],"genre_scores_gemma":[0.08195025,0.000457186,0.03006059,0.0004503053,0.00007803924,0.0009342007,0.04121664,0.001586261,0.8432666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1829528,"threshold_uncertainty_score":0.6120382,"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."}}