{"id":"W3119904534","doi":"10.1139/as-2020-0029","title":"Annual survival probabilities of anadromous Arctic Char remain high and stable despite interannual differences in sea ice melt date","year":2021,"lang":"en","type":"article","venue":"Arctic Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Fisheries and Oceans Canada; Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Arctic char; Salvelinus; Fish migration; Arctic; Bay; Environmental science; Sea ice; Subsistence agriculture; Range (aeronautics); Population; Geography; Fishery; Physical geography; Ecology; Biology; Demography; Habitat; Meteorology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073914,0.0001349468,0.00024979,0.00008017855,0.0002410408,0.00002980608,0.0003566528,0.00003192713,0.0004079523],"category_scores_gemma":[0.0006529401,0.0001202761,0.00001931514,0.00075936,0.002120984,0.0006755338,0.0008897382,0.000117484,0.00001705768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023447,"about_ca_system_score_gemma":0.00004764112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311013,"about_ca_topic_score_gemma":0.0211156,"domain_scores_codex":[0.998236,0.0001206641,0.0002500566,0.0005553162,0.000394497,0.0004434862],"domain_scores_gemma":[0.999291,0.0002364299,0.0000829984,0.0002624781,0.00005012395,0.00007697374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001932461,0.0001174644,0.993295,0.00007735613,0.00001220281,0.0000286122,0.003277137,0.00004673294,0.0006080305,0.001871813,0.0001348674,0.0005114976],"study_design_scores_gemma":[0.0002741381,0.0001175123,0.9909668,0.00004524233,0.00001254692,0.000008713468,0.003529489,0.000202322,0.0007883019,0.003781008,0.000130355,0.0001436015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966427,0.00004045061,0.00003470489,0.001144702,0.0002176174,0.0001739365,0.00002463805,0.00001436225,0.001706901],"genre_scores_gemma":[0.9981124,0.00008928731,0.0008738357,0.0002574347,0.000008603234,0.00001978068,0.000001846663,0.000004460217,0.0006322821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01780459,"threshold_uncertainty_score":0.9967465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133361179402165,"score_gpt":0.2150697669603801,"score_spread":0.2037361551663585,"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."}}