{"id":"W1561909087","doi":"10.1111/ecog.01260","title":"Home ranges in moving habitats: polar bears and sea ice","year":2015,"lang":"en","type":"article","venue":"Ecography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Alberta Innovates - Technology Futures","keywords":"Ursus maritimus; Home range; Sea ice; Range (aeronautics); Polar; Ecology; Foraging; Habitat; Space (punctuation); Ice caps; Physical geography; Environmental science; Geography; Computer science; Biology; Meteorology; Glacier; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002833883,0.00009693761,0.0001294243,0.00005715279,0.0000480542,0.00002118109,0.0001161352,0.00002920835,0.0001889183],"category_scores_gemma":[0.00003203811,0.00009140015,0.00003592146,0.0004040543,0.0001143893,0.000177867,0.0003145349,0.00008376571,0.0001194464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003517659,"about_ca_system_score_gemma":0.000002427767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00581999,"about_ca_topic_score_gemma":0.00866898,"domain_scores_codex":[0.9992455,0.00003745954,0.0001093679,0.0002241918,0.0001660102,0.0002174494],"domain_scores_gemma":[0.9997108,0.00003101324,0.00002973994,0.0001184106,0.000003946746,0.0001060897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007325262,0.00002247637,0.9853209,0.000008038704,0.000006465577,0.000007786363,0.0003376229,0.000005776791,0.00002167334,0.00001587381,0.003191628,0.01105443],"study_design_scores_gemma":[0.0002883278,0.00005960248,0.9647848,0.000008872622,0.00000530728,0.000002396157,0.0002122779,0.0000370909,0.000009626568,0.0006141262,0.0338564,0.0001211496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764605,0.002352995,0.000003920948,0.0003489329,0.00004779359,0.0001095444,0.000004591003,0.00002647765,0.02064529],"genre_scores_gemma":[0.998267,0.0003403456,0.0008802334,0.0004211348,0.00001863696,0.00001059122,0.000001424957,0.000009245136,0.00005138479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03066477,"threshold_uncertainty_score":0.8798123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639795099084675,"score_gpt":0.2210340485751037,"score_spread":0.2046360975842569,"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."}}