{"id":"W2802629501","doi":"10.14430/arctic4622","title":"Sustained Observations of Changing Arctic Coastal and Marine Environments and Their Potential Contribution to Arctic Maritime Domain Awareness: A Case Study in Northern Alaska","year":2018,"lang":"en","type":"article","venue":"ARCTIC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Homeland Security","keywords":"Arctic; Hazard; Context (archaeology); Sea ice; Environmental resource management; Environmental science; Submarine pipeline; Oceanography; Environmental hazard; Hazard analysis; Environmental planning; Geography; Meteorology; Engineering; Geology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009502663,0.000315726,0.0002296177,0.0006641038,0.001919628,0.00106136,0.0005814193,0.0008992189,0.0007422359],"category_scores_gemma":[0.001966545,0.000155036,0.0002947766,0.001009241,0.0008744731,0.0007421071,0.001050585,0.0005671505,0.0001116286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401691,"about_ca_system_score_gemma":0.001351416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1178271,"about_ca_topic_score_gemma":0.2715014,"domain_scores_codex":[0.9995561,0.0001526735,0.00003532182,0.00007377253,0.0001024832,0.00007970438],"domain_scores_gemma":[0.9986694,0.0006036811,0.0001767244,0.0001122892,0.0001987836,0.0002391166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000787557,0.001680743,0.6913689,0.0004982018,0.0002759865,0.05868993,0.09242899,0.06770277,0.01175652,0.003288258,0.003172779,0.06834937],"study_design_scores_gemma":[0.00004847573,0.0009013913,0.572295,0.0002260472,0.0002169649,0.004315877,0.3491643,0.04759384,0.004901292,0.003386526,0.01676619,0.0001842158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965739,0.00007460846,0.0008679824,0.0001392048,0.000009312358,0.00003421739,0.0001151398,0.000016559,0.002169195],"genre_scores_gemma":[0.9963731,0.0001924853,0.002019113,0.00004287733,0.000008011163,0.00002604896,0.0001417023,0.000007532878,0.001189348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178271,"threshold_uncertainty_score":0.2342824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008659138271938649,"score_gpt":0.204950422021588,"score_spread":0.1962912837496494,"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."}}