{"id":"W2061195286","doi":"10.4043/23765-ms","title":"Methods for Efficient and Safe 3D Seismic Acquisition in Arctic Conditions","year":2012,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Environmental science; Snow; Visibility; Crew; Submarine pipeline; Meteorology; Kilometer; Physical geography; Geology; Geography; Engineering; Aeronautics; Oceanography; Transport engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002440537,0.0001425206,0.0001854464,0.0003059914,0.00005225486,0.00001300082,0.00009630909,0.0001757393,0.00003088203],"category_scores_gemma":[0.00009630351,0.0001555565,0.00002261399,0.0002315348,0.00009189568,0.00006632019,0.00003264682,0.0002193914,0.000014036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824435,"about_ca_system_score_gemma":0.00001057557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000892386,"about_ca_topic_score_gemma":0.000002278829,"domain_scores_codex":[0.9992338,0.0000163785,0.0001770856,0.0001553956,0.00003849629,0.0003788061],"domain_scores_gemma":[0.999546,0.0001512938,0.00002235892,0.0001875819,0.00003423675,0.00005851808],"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":[0.00002530832,0.0002547766,0.02188036,0.001683497,0.0002162796,0.000008257586,0.002260064,0.4576923,0.0815098,0.1835272,0.0001029801,0.2508392],"study_design_scores_gemma":[0.0005003467,0.00004069361,0.004306112,0.0001970457,0.00003870841,0.00005882514,0.0001775076,0.976976,0.006857137,0.008019854,0.002513577,0.0003142038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1950334,0.0008304941,0.8024672,0.0002291064,0.0003341613,0.0002237936,0.000006647917,0.0004331763,0.0004420381],"genre_scores_gemma":[0.9444354,0.00005839114,0.0552665,0.00002436106,0.00002727971,0.0001305717,0.000008208481,0.00002305194,0.00002620616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.749402,"threshold_uncertainty_score":0.6343408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229009013406502,"score_gpt":0.2756219302406056,"score_spread":0.2633318401065406,"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."}}