{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004816703,0.0002086565,0.0002836958,0.0002034391,0.0003197058,0.00004147397,0.0001001838,0.00005663091,0.0001154293],"category_scores_gemma":[0.0001152098,0.0001826705,0.00003359518,0.000342739,0.0002422078,0.0002265824,0.0001621507,0.0001388116,0.000009345186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030909,"about_ca_system_score_gemma":0.00004895491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02450232,"about_ca_topic_score_gemma":0.1614407,"domain_scores_codex":[0.9985202,0.0001439317,0.000339427,0.0003661792,0.0001852213,0.0004450531],"domain_scores_gemma":[0.999249,0.0001972837,0.0001070165,0.0002040619,0.00008125936,0.0001613671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001112682,0.0001160081,0.9927273,0.00005777877,0.00004709971,0.0002921181,0.003837181,0.0001624853,0.00007047175,0.00002436796,2.389421e-7,0.002553627],"study_design_scores_gemma":[0.00128212,0.0007024909,0.9652922,0.00006369848,0.00005308405,0.0007309442,0.02214908,0.008248838,0.000007878979,0.001249528,0.00001272215,0.0002074196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977044,0.00002694813,0.001067311,0.0003612796,0.00009456453,0.0006471339,0.00007196989,0.00001307063,0.0000133604],"genre_scores_gemma":[0.999127,0.00002069314,0.000453372,0.0001481115,0.00006988769,0.000007792836,0.0001189044,0.000009066375,0.00004518274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369384,"threshold_uncertainty_score":0.9819936,"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."}}