{"id":"W2975885529","doi":"10.14430/arctic71896","title":"The Best of Both Worlds: Connecting Remote Sensing and Arctic Communities for Safe Sea Ice Travel","year":2021,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Arctic Eider Society; University of Calgary; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Canadian Geographical Society; European Space Agency; Association of Canadian Universities for Northern Studies; Arctic Institute of North America; Polar Knowledge Canada; University of Victoria; W. Garfield Weston Foundation; Marine Environmental Observation Prediction and Response Network","keywords":"Sea ice; Arctic ice pack; Arctic; Remote sensing; Synthetic aperture radar; Geology; Sea ice concentration; Drift ice; Antarctic sea ice; Sea ice thickness; Slush; Climatology; Meteorology; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003717083,0.0003975851,0.000233199,0.001874042,0.01321532,0.005521025,0.001035508,0.0008013586,0.005239967],"category_scores_gemma":[0.005763923,0.0001842527,0.0002503471,0.002239425,0.003051462,0.003144254,0.006381832,0.0009905815,0.0005663724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01210969,"about_ca_system_score_gemma":0.04185854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8303915,"about_ca_topic_score_gemma":0.9063804,"domain_scores_codex":[0.997822,0.001080516,0.00003918491,0.0001461926,0.000371854,0.0005403236],"domain_scores_gemma":[0.996891,0.0005927676,0.0002086437,0.0001803068,0.0008744735,0.001252836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000164543,0.0003827715,0.146402,0.0004136004,0.00005502594,0.00126729,0.4168394,0.0009957998,0.002758589,0.01463043,0.0372189,0.3788716],"study_design_scores_gemma":[0.00002096785,0.0001123958,0.07196703,0.0004742928,0.00005218366,0.0001755383,0.7733067,0.00177899,0.0005493167,0.006469333,0.1450224,0.00007089996],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116508,0.002223321,0.006858158,0.04101727,0.0003509032,0.0004397846,0.0005643673,0.0002271243,0.1366682],"genre_scores_gemma":[0.978838,0.001254905,0.01152259,0.001708403,0.00004307792,0.0001292056,0.000212655,0.0000406224,0.006250511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303915,"threshold_uncertainty_score":0.3412148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0721068151071659,"score_gpt":0.3674261822128096,"score_spread":0.2953193671056437,"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."}}