{"id":"W1978660213","doi":"10.1115/ipc2004-0762","title":"Telluric Compensation for Pipeline Test Station Survey on the Alliance Pipeline System","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Pipeline (software); Interval (graph theory); Compensation (psychology); Test (biology); Alliance; Marine engineering; Remote sensing; Geology; Environmental science; Engineering; Mechanical engineering; Geography","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":[0.0004135139,0.0002348022,0.0002302223,0.00007021804,0.0001536046,0.0001279555,0.0002744947,0.00008123671,0.00004838469],"category_scores_gemma":[0.0003361668,0.0001879085,0.0000684238,0.0001938641,0.00007276689,0.0001164182,0.00002535926,0.0001837785,0.00009619944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028609,"about_ca_system_score_gemma":0.0000486841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002052114,"about_ca_topic_score_gemma":0.0002518301,"domain_scores_codex":[0.9987173,0.00004144858,0.0004472369,0.0003055727,0.0002610561,0.0002273686],"domain_scores_gemma":[0.9985025,0.0005597572,0.0001123718,0.0002310757,0.0005090801,0.00008522529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003320996,0.001361917,0.00485707,0.0006254773,0.0002620755,0.000007494367,0.0008706168,0.1283307,0.01414068,0.4876757,0.116809,0.2447271],"study_design_scores_gemma":[0.001546162,0.0001020348,0.03291885,0.0002234084,0.00004153894,0.000005641369,0.0001988352,0.9259661,0.001458983,0.009488352,0.02759621,0.0004538776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0598326,0.0001983298,0.9296715,0.003344281,0.0007464226,0.0009363632,0.001229839,0.0002877837,0.003752948],"genre_scores_gemma":[0.9919199,0.0001335785,0.004550968,0.0002255129,0.0005150461,0.0001478708,0.0006911155,0.00003222673,0.001783741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9320874,"threshold_uncertainty_score":0.7662686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354235237364861,"score_gpt":0.2712908822326746,"score_spread":0.2377485298590259,"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."}}