{"id":"W4284889740","doi":"10.1139/as-2021-0045","title":"Development of a small-scale approach to assess sea ice change using weekly ice charts, with application to Anguniaqvia Niqiqyuam Marine Protected Area","year":2022,"lang":"en","type":"article","venue":"Arctic Science","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Fisheries Joint Management Committee; University of Manitoba","keywords":"Sea ice; Oceanography; Arctic ice pack; Environmental science; Climate change; Arctic; Physical geography; Climatology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001075843,0.0001860276,0.0002125895,0.0002643476,0.0009453891,0.00005879367,0.0007744658,0.000025384,0.0001669045],"category_scores_gemma":[0.00005534567,0.000160044,0.00002453267,0.002554386,0.0001943118,0.0002762929,0.0002754914,0.0001889353,0.00001945655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009010522,"about_ca_system_score_gemma":0.0004361405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993815,"about_ca_topic_score_gemma":0.00116453,"domain_scores_codex":[0.9975742,0.0000559921,0.0002842721,0.0006393259,0.0009016205,0.0005446553],"domain_scores_gemma":[0.9988968,0.00006044215,0.0001608301,0.0003839347,0.0001898169,0.0003081151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004864355,0.0005999235,0.7451988,0.0003453431,0.0000544883,0.00001375911,0.03328716,0.03583238,0.01118114,0.0003108906,0.00002692,0.1726627],"study_design_scores_gemma":[0.0003779615,0.0004394177,0.7383156,0.00006178295,0.00003821163,0.0001588434,0.007097887,0.2501676,0.0006125091,0.00007654241,0.002062268,0.0005913946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427245,0.000005111601,0.053684,0.0003900939,0.00009495547,0.001365508,0.00003427254,0.00004624545,0.001655257],"genre_scores_gemma":[0.773138,8.290528e-7,0.2261287,0.0004979071,0.00003010657,0.00009511074,0.0000466349,0.000006275355,0.00005642703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143352,"threshold_uncertainty_score":0.7271264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518337561930004,"score_gpt":0.2348441813938971,"score_spread":0.1830104252008967,"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."}}