{"id":"W2955124522","doi":"10.1002/ece3.5401","title":"Are polar bear habitat resource selection functions developed from 1985–1995 data still useful?","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; U.S. Geological Survey; Environment and Climate Change Canada; University of Alberta; National Science Foundation","keywords":"Ursus maritimus; Arctic; Sea ice; Habitat; Polar; Environmental science; Polar night; Beaufort sea; Climate change; Arctic ice pack; Physical geography; Beaufort scale; Climatology; Geography; Ecology; Oceanography; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0137328,0.0007552714,0.0009670343,0.001225285,0.0003246522,0.001538294,0.001572065,0.0006471031,0.001185476],"category_scores_gemma":[0.03191777,0.0003789837,0.001477564,0.001779647,0.0006487237,0.002272993,0.0006071719,0.0008857433,0.0006007393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184325,"about_ca_system_score_gemma":0.001093456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04247123,"about_ca_topic_score_gemma":0.03177913,"domain_scores_codex":[0.9966376,0.002058515,0.0002062079,0.0006307177,0.0002853344,0.0001814858],"domain_scores_gemma":[0.9863549,0.007357026,0.001800939,0.002457725,0.001659766,0.0003697227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002399542,0.00008757765,0.8528338,0.0001676194,0.0008233404,0.00007460051,0.0003150416,0.04125664,0.0003604607,0.001826405,0.008250589,0.09376395],"study_design_scores_gemma":[0.00005824167,0.0002694254,0.8463816,0.0003041647,0.0002079152,0.0001315051,0.0005108453,0.1359587,0.0005177135,0.003489549,0.01207999,0.0000903841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490452,0.004460727,0.02993439,0.002741944,0.0002257296,0.00007851654,0.008544506,0.000413516,0.004555547],"genre_scores_gemma":[0.9799947,0.001063313,0.0117633,0.0004913634,0.0001143972,0.00007289135,0.006073694,0.00009966477,0.0003268091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04247123,"threshold_uncertainty_score":0.08444804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461085566635737,"score_gpt":0.2254442363155184,"score_spread":0.200833380649161,"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."}}