{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002923677,0.0001774821,0.000223036,0.001341603,0.0003188851,0.0005821472,0.0002248887,0.0001530141,0.00144807],"category_scores_gemma":[0.0007084173,0.00009702931,0.0001734889,0.001352153,0.0006089041,0.0007806162,0.000500723,0.0001719963,0.0001552795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870913,"about_ca_system_score_gemma":0.00009880181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008259324,"about_ca_topic_score_gemma":0.01620723,"domain_scores_codex":[0.9998957,0.00003760276,0.000006275816,0.00002904405,0.00001871393,0.00001267628],"domain_scores_gemma":[0.9996081,0.0001455292,0.0001375632,0.00001987994,0.00004316984,0.00004586098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001825341,0.00004229803,0.8304585,0.0003066834,0.0001286379,0.0004548716,0.004206839,0.001930185,0.003008782,0.005104688,0.001865461,0.1523107],"study_design_scores_gemma":[0.000002281012,0.00005036844,0.9919333,0.00006267916,0.00004608467,0.0002530155,0.001879351,0.0004716897,0.0002075002,0.001331131,0.003753377,0.000009253926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610821,0.01579037,0.004393983,0.0004107183,0.00007165487,0.00001526913,0.0004348872,0.00002296506,0.01777809],"genre_scores_gemma":[0.9898314,0.006226047,0.002183551,0.00005608971,0.0001767671,0.00001433585,0.000302694,0.000006877608,0.001202303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008259324,"threshold_uncertainty_score":0.01642251,"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."}}