{"id":"W74234200","doi":"10.5006/c2000-00741","title":"Practical Telluric Compensation for Pipeline Close Interval Survey","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Compensation (psychology); Interval (graph theory); Petroleum engineering; Computer science; Geology; Forensic engineering; Engineering; Mechanical engineering; Mathematics","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":[0.000631631,0.0003687193,0.0003210204,0.0006933748,0.0004245371,0.000469736,0.0008679538,0.0005565383,0.003121944],"category_scores_gemma":[0.002608807,0.0002529723,0.000170056,0.001002907,0.0002370139,0.0006434841,0.0004549376,0.0004735243,0.0009653778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292817,"about_ca_system_score_gemma":0.0004216185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157826,"about_ca_topic_score_gemma":0.003061936,"domain_scores_codex":[0.9991032,0.0002143179,0.00002661013,0.0001846848,0.0004073268,0.00006396515],"domain_scores_gemma":[0.9989214,0.0002845542,0.0001277062,0.0002158997,0.0004023507,0.0000480946],"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":[0.001144673,0.000117648,0.0125454,0.0002709272,0.00003432868,0.0001503674,0.0003672711,0.01302965,0.458284,0.00372307,0.003992944,0.5063398],"study_design_scores_gemma":[0.000153548,0.0007156812,0.03446256,0.00004335495,0.00009751163,0.0007361032,0.0002424701,0.3165349,0.618656,0.002525635,0.02574804,0.00008415622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1883691,0.0003146597,0.8016187,0.0002076078,0.0001427771,0.00006968302,0.0002192478,0.003899615,0.005158628],"genre_scores_gemma":[0.8037972,0.0001095553,0.1933487,0.00005426163,0.00003172786,0.00003705661,0.0001819914,0.00008879108,0.002350754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003121944,"threshold_uncertainty_score":0.01044393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05857730978614081,"score_gpt":0.3451586906352492,"score_spread":0.2865813808491084,"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."}}