{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004544652,0.0003154679,0.0001963608,0.0005771142,0.000547093,0.0007983419,0.0002221696,0.0003963231,0.001666565],"category_scores_gemma":[0.0007353636,0.0001551443,0.0003827514,0.0003732921,0.0002717553,0.0004141558,0.0007561986,0.0003447227,0.0001532374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009078312,"about_ca_system_score_gemma":0.0003801671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01406675,"about_ca_topic_score_gemma":0.02598878,"domain_scores_codex":[0.9998362,0.00003615252,0.000009769798,0.00004562481,0.00002761445,0.00004453847],"domain_scores_gemma":[0.9996201,0.00005086129,0.0001186777,0.0000268886,0.00008992697,0.00009346139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007499004,0.00004516502,0.9865279,0.00002057162,0.0001100645,0.0001419174,0.000137748,0.002432841,0.004610932,0.0002586348,0.0002229908,0.005416349],"study_design_scores_gemma":[0.000001599256,0.0000308268,0.9974227,0.000003746759,0.00001846359,0.00004724012,0.000136666,0.00174181,0.0001887829,0.00009415808,0.000308857,0.000005246229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99774,0.0002123092,0.0002884631,0.0001150989,0.00001070312,0.000006957934,0.0004085935,0.000008161706,0.00120966],"genre_scores_gemma":[0.9992853,0.0001668732,0.0001799398,0.00003473966,0.0000090886,0.000005796922,0.0001836249,0.000002231518,0.0001324403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406675,"threshold_uncertainty_score":0.02796978,"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."}}