{"id":"W4389058570","doi":"10.22541/essoar.170110665.58564319/v1","title":"The Complete Annual Record of Sea Ice Volume Export Through Fram Strait as Observed by Satellite from 2010-2022.","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Canada Excellence Research Chairs, Government of Canada","keywords":"Sea ice; Volume (thermodynamics); Sea ice thickness; Oceanography; Arctic ice pack; Arctic; Climatology; Environmental science; The arctic; Ice shelf; Sink (geography); Geology; Cryosphere; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002503397,0.0004471837,0.0001924241,0.00122671,0.0001865837,0.0006401199,0.0001731915,0.000264853,0.001416859],"category_scores_gemma":[0.0006516938,0.0001451944,0.0003127044,0.001337044,0.0001183707,0.0006189237,0.0004376184,0.0002097611,0.001477028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725359,"about_ca_system_score_gemma":0.0005614105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04481622,"about_ca_topic_score_gemma":0.07276054,"domain_scores_codex":[0.9998865,0.000006853971,0.00001757349,0.00004191433,0.00002901237,0.00001823328],"domain_scores_gemma":[0.9993762,0.00006166249,0.0002547549,0.00004918517,0.0002108209,0.0000474197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003230755,0.00003914757,0.8381651,0.0006760492,0.0004923982,0.0002846087,0.0005510905,0.004100149,0.004066757,0.0009625884,0.0899813,0.06035771],"study_design_scores_gemma":[0.000006800236,0.00004049537,0.9491621,0.00008563579,0.00006667421,0.000212986,0.0001944386,0.0009183779,0.0008466486,0.0001257401,0.04832565,0.00001453079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5498702,0.002608557,0.001012286,0.0003737145,0.0001869656,0.00001626393,0.4290064,0.0003985529,0.0165271],"genre_scores_gemma":[0.5765588,0.002017779,0.001864022,0.000149356,0.0001039554,0.00004307831,0.4119295,0.00008349809,0.007250042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04481622,"threshold_uncertainty_score":0.08911073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861860571756667,"score_gpt":0.2401693400249116,"score_spread":0.1915507343073449,"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."}}