{"id":"W4241059401","doi":"10.2523/102441-ms","title":"Technologies for Arctic Offshore Exploration &amp; Development","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPE Russian Oil and Gas Technical Conference and Exhibition","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Citation; Exhibition; Permafrost; Submarine pipeline; The arctic; Computer science; Petroleum; Environmental science; Operations research; Oceanography; Library science; Engineering; Geography; Archaeology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008012334,0.0009595557,0.0002881363,0.001861255,0.0009134493,0.002519754,0.0006368191,0.001208297,0.07379621],"category_scores_gemma":[0.0009498118,0.0002933401,0.0003802101,0.001410723,0.000451549,0.00258337,0.00222634,0.001255453,0.08473802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324311,"about_ca_system_score_gemma":0.002359883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396741,"about_ca_topic_score_gemma":0.00148017,"domain_scores_codex":[0.9991824,0.00008111008,0.00003786497,0.00009159084,0.0004970045,0.0001099962],"domain_scores_gemma":[0.9993477,0.00005407976,0.00004633793,0.00007810631,0.0003123141,0.0001613852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004881664,0.0000437441,0.0004166767,0.0003793643,0.000007711417,0.0001961673,0.0002192341,0.0007403349,0.00952327,0.05058065,0.3196058,0.6182384],"study_design_scores_gemma":[0.000003557999,0.00001724901,0.0002377544,0.0001015524,0.000003113688,0.0001517359,0.00006692281,0.0003630047,0.002733869,0.003374632,0.9929414,0.000005234166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003105199,0.0205576,0.05932837,0.00923103,0.003345318,0.0003336716,0.001292084,0.00288369,0.8999231],"genre_scores_gemma":[0.03130791,0.03066109,0.05069216,0.0009544166,0.0006753166,0.0004038338,0.002159414,0.0007437152,0.8824021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07379621,"threshold_uncertainty_score":0.2468729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797085678120123,"score_gpt":0.213503654277586,"score_spread":0.1955327974963848,"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."}}