{"id":"W4414215065","doi":"10.1101/2025.09.06.674276","title":"Changes in sea ice alter genetic structure of an iconic Arctic apex predator in less than three decades","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation; Government of Nunavut; University of Toronto; Government of Northwest Territories; Queen's University","funders":"Government of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Sea ice; Arctic; Ursus maritimus; Genetic structure; Climate change; Arctic sea ice decline; Apex predator; Arctic ice pack; Biodiversity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000260385,0.0001187316,0.0001191558,0.0005056358,0.0007963242,0.0004662308,0.000278529,0.0001843235,0.0007391245],"category_scores_gemma":[0.0005144621,0.00008558285,0.0001731838,0.0007086165,0.0003658594,0.0001835432,0.000279751,0.0002424378,0.00009599159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762056,"about_ca_system_score_gemma":0.001320617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6052172,"about_ca_topic_score_gemma":0.7819428,"domain_scores_codex":[0.9998543,0.00001064745,0.000004658735,0.00004548474,0.00003169478,0.00005321069],"domain_scores_gemma":[0.9996418,0.00002067724,0.0001058429,0.00002232549,0.0001293854,0.0000799624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004889011,0.00001296896,0.994769,0.000004592991,0.00003958751,0.0000431225,0.0004813963,0.000102135,0.001395135,0.00004695981,0.0001921905,0.002864009],"study_design_scores_gemma":[2.831628e-7,0.000006677219,0.9994357,0.0000018825,0.00000397885,0.00001214257,0.0002897241,0.00004946739,0.00004088803,0.000006127664,0.0001517613,0.000001212535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992501,0.00006294772,0.00004284931,0.00002314434,0.000002552119,0.000001616567,0.0002735962,0.000001529969,0.0003416882],"genre_scores_gemma":[0.9992294,0.00005659488,0.00006345251,0.00002441236,0.000001769205,0.00000179912,0.0003865993,0.000001229374,0.0002347809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6052172,"threshold_uncertainty_score":0.7942154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117553191672048,"score_gpt":0.2095993618260808,"score_spread":0.197844042658876,"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."}}