{"id":"W2999802861","doi":"10.1002/eap.2071","title":"Interrelated ecological impacts of climate change on an apex predator","year":2020,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Environment and Climate Change Canada; Government of Nunavut","funders":"Miljø- og Fødevareministeriet; Environment and Climate Change Canada; Ministry of Environment; Parks Canada; Pinngortitaleriffik; University of Washington; National Aeronautics and Space Administration","keywords":"Ursus maritimus; Sea ice; Bay; Ecology; Habitat; Predation; Apex predator; Population; Climate change; Arctic; Biology; Geography; Demography","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":[0.0001265228,0.0001192096,0.0001917689,0.00002373497,0.0001453802,0.00001644294,0.0002759088,0.0001316226,0.004164436],"category_scores_gemma":[0.00007073564,0.0000830335,0.00005955645,0.0002212422,0.0001263771,0.0001150392,0.00003300901,0.0002057599,0.0007345674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000618744,"about_ca_system_score_gemma":0.00001609805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003179723,"about_ca_topic_score_gemma":0.0001048878,"domain_scores_codex":[0.999,0.00006477628,0.0002505548,0.0002918331,0.0001199631,0.000272832],"domain_scores_gemma":[0.9992234,0.0002096856,0.0001109469,0.000152127,0.00002973078,0.0002740845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003065786,0.001238835,0.8729363,0.00007754273,0.00005248,0.00002030366,0.00100322,0.0008163532,0.0001295821,0.01653926,0.0003045233,0.106575],"study_design_scores_gemma":[0.0001999414,0.001386227,0.9721882,0.000005080343,0.00001880563,0.000003864352,0.0001893361,0.02221282,0.00001151859,0.001182304,0.002469396,0.0001325155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872542,0.00001617384,0.000477163,0.002925819,0.00004696675,0.0006702419,0.0002658124,0.0001246745,0.008218967],"genre_scores_gemma":[0.9954328,0.0001289306,0.001092839,0.002897574,0.0001343655,0.0000335455,0.0002713205,0.000002906194,0.000005712271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064425,"threshold_uncertainty_score":0.9967459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170671301157421,"score_gpt":0.2523242349041079,"score_spread":0.2206175218925337,"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."}}