{"id":"W4281493777","doi":"10.3390/math10111813","title":"Remote Geotechnical Monitoring of a Buried Oil Pipeline","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Pipeline transport; Environmental science; Soil water; Pipeline (software); Geotechnical engineering; Meteorology; Soil science; Hydrology (agriculture); Geology; Computer science; Environmental engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002153686,0.00009633769,0.000149172,0.000004169737,0.000110378,0.000003912313,0.0002568605,0.00002940763,0.001562647],"category_scores_gemma":[0.00001675341,0.00009423862,0.00005669897,0.0001471809,0.0001139346,0.00003480566,0.0006017155,0.0001486276,0.00004751124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752225,"about_ca_system_score_gemma":0.000003197735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005867412,"about_ca_topic_score_gemma":3.931848e-7,"domain_scores_codex":[0.9990124,0.000018832,0.000256092,0.0001465917,0.0003995393,0.0001665985],"domain_scores_gemma":[0.9995143,0.0000341261,0.0001145348,0.0002867042,0.000001200164,0.00004912668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004004153,0.001142646,0.01390546,0.0001299761,0.00003238349,0.00004388228,0.003235386,0.8445793,0.01897198,0.0004277164,0.001318967,0.1161722],"study_design_scores_gemma":[0.0007155476,0.0002219869,0.004013866,0.00003629853,0.00007241784,0.00009745949,0.003210743,0.9612667,0.001967107,0.008115491,0.01974148,0.0005409104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421901,0.00002276947,0.05007681,0.000112918,0.00008971246,0.00006304318,0.000002833839,0.00004995314,0.00739191],"genre_scores_gemma":[0.7611208,0.00002220575,0.2329223,0.00003792995,0.00002814452,0.000008990392,0.000001616793,0.00002473285,0.005833275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828455,"threshold_uncertainty_score":0.9993501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136383938701029,"score_gpt":0.2203424481485607,"score_spread":0.2089786087615504,"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."}}