{"id":"W2774594789","doi":"10.1016/j.coldregions.2017.12.005","title":"Field measurement of the reduction in local pressure from ice management","year":2017,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Submarine pipeline; Environmental science; Hull; Full scale; Marine engineering; Sea ice; Arctic ice pack; Computer science; Geology; Oceanography; Engineering; Structural engineering","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":[0.0003034497,0.00004818689,0.00007030566,0.00009778726,0.0005049962,0.0000252869,0.0005876278,0.00005631569,0.00001667907],"category_scores_gemma":[0.00009225657,0.0000323691,0.00001119342,0.0002690804,0.001584014,0.0001402515,0.00009363227,0.0001072169,0.00000222645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006746362,"about_ca_system_score_gemma":0.00006278356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759858,"about_ca_topic_score_gemma":0.001468777,"domain_scores_codex":[0.9993125,0.000009076755,0.0000911912,0.0001858371,0.0002547735,0.0001465807],"domain_scores_gemma":[0.9994036,0.00001239208,0.00008041799,0.0004130855,0.00006781654,0.0000227051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003196886,0.00005373855,0.705908,0.0000376493,0.00002841725,0.00001239394,0.000302992,0.0001826224,0.001507169,0.04624889,0.0006102377,0.2450759],"study_design_scores_gemma":[0.000522971,0.0001852317,0.9322955,0.0002175364,0.00006184672,0.00002833287,0.003673246,0.01135586,0.005722497,0.02989237,0.01583512,0.0002095129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688055,0.0003254958,0.001131912,0.02187045,0.0005220959,0.000304112,0.000007268618,0.00002408767,0.007009081],"genre_scores_gemma":[0.9994304,0.0001162754,0.0002786439,0.00004536094,0.000009614244,0.000001491876,2.290641e-7,6.224485e-7,0.0001173684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2448664,"threshold_uncertainty_score":0.5836365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355157656691694,"score_gpt":0.2084021309177853,"score_spread":0.1948505543508683,"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."}}