{"id":"W1987484626","doi":"10.1111/ecog.01305","title":"Unveiling trade‐offs in resource selection of migratory caribou using a mechanistic movement model of availability","year":2015,"lang":"en","type":"article","venue":"Ecography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Newfoundland and Labrador; University of Alberta; Trent University","funders":"Safari Club International Foundation","keywords":"Predation; Ursus; Habitat; Woodland caribou; Ecology; Forage; Geography; Foraging; Context (archaeology); Canis; Grizzly Bears; Biology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008599566,0.0004321455,0.0004688996,0.0004833814,0.0003116115,0.0008687779,0.0008599758,0.0007577795,0.001069078],"category_scores_gemma":[0.002225408,0.000577098,0.0009119436,0.0003132361,0.0007370833,0.0009978,0.0007050927,0.0005486023,0.0001172809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008368543,"about_ca_system_score_gemma":0.0005739823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371234,"about_ca_topic_score_gemma":0.02334114,"domain_scores_codex":[0.9997597,0.0001024178,0.00001009716,0.00006105023,0.00001691799,0.0000497098],"domain_scores_gemma":[0.9992533,0.0003447162,0.0002292745,0.00006732754,0.00004418641,0.00006110386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006567714,0.00007018369,0.04380104,0.0000263949,0.0001517655,0.0001437635,0.0001963922,0.9370639,0.00297487,0.01183468,0.0001498293,0.003521588],"study_design_scores_gemma":[0.000008607178,0.00002223018,0.01133533,0.000003141268,0.00002762973,0.00003502395,0.00003712495,0.9856052,0.00005660933,0.002733363,0.0001268209,0.000008963099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120234,0.0001034257,0.08550885,0.0002941905,0.00001008175,0.00001988139,0.00009517064,0.00006211888,0.001882847],"genre_scores_gemma":[0.9946273,0.00006239492,0.004271364,0.00003483315,0.000009077225,0.00002525844,0.0000495092,0.0000117346,0.0009085166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371234,"threshold_uncertainty_score":0.04714864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955898184888039,"score_gpt":0.2246239485439059,"score_spread":0.1950649666950255,"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."}}