{"id":"W3205700365","doi":"10.1525/elementa.2021.00007","title":"Climate change impacts on sea-ice ecosystems and associated ecosystem services","year":2021,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Wildlife Conservation Society Canada; Université Laval; University of Victoria; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"International Arctic Science Committee; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; UK Research and Innovation; Ministerie van Landbouw, Natuur en Voedselkwaliteit; Marine Environmental Observation Prediction and Response Network; Bundesministerium für Bildung und Forschung; Natural Environment Research Council; Australian Government; Fisheries and Oceans Canada; Genome Canada","keywords":"Ecosystem services; Sea ice; Ecosystem; Marine ecosystem; Environmental science; Climate change; Ecology; Oceanography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001022744,0.0001781927,0.0002584834,0.00002832077,0.0007289058,0.00007722689,0.0006512922,0.0000322617,0.001049425],"category_scores_gemma":[0.00006216443,0.0001244659,0.00006153147,0.0009480669,0.0004288328,0.0004309838,0.001958315,0.00008698159,0.00008253471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026752,"about_ca_system_score_gemma":0.0000225641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507239,"about_ca_topic_score_gemma":0.01321344,"domain_scores_codex":[0.9977014,0.0001078399,0.0003114557,0.0004839817,0.0008518138,0.000543521],"domain_scores_gemma":[0.9990466,0.0000412679,0.0002997615,0.0004502672,0.00004194605,0.0001201358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001732179,0.0002976384,0.976382,0.0002562593,0.00003433226,0.00001209464,0.0005390331,0.0000155223,0.01152297,0.0002702424,0.0008969298,0.009755619],"study_design_scores_gemma":[0.0004838599,0.0002231001,0.9234212,0.0004710462,0.00003913001,0.00001559471,0.0009544279,0.001237896,0.07049644,0.00006707211,0.002325147,0.0002650995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871511,0.0003173489,2.70082e-7,0.00122698,0.0003260236,0.0003191561,0.00009028619,0.00002109281,0.01054769],"genre_scores_gemma":[0.9982179,0.001006916,0.00004956205,0.0006337787,0.00003526495,0.00001225275,0.000003375254,0.00001082632,0.00003012974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05897347,"threshold_uncertainty_score":0.9998637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087769392047253,"score_gpt":0.2712280018335556,"score_spread":0.250350307913083,"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."}}