{"id":"W2162849688","doi":"10.1890/06-1100.1","title":"GRIZZLY BEAR HABITAT SELECTION IS SCALE DEPENDENT","year":2007,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Alberta","funders":"","keywords":"Grizzly Bears; Akaike information criterion; Habitat; Ursus; Ecology; Scale (ratio); Range (aeronautics); Vegetation (pathology); Home range; Spatial ecology; Geography; Selection (genetic algorithm); Physical geography; Environmental science; Statistics; Biology; Cartography; Demography; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001998938,0.0003131163,0.0003848027,0.000515166,0.0003518816,0.000800474,0.00044161,0.0002920556,0.001365554],"category_scores_gemma":[0.006018365,0.0003149516,0.000767961,0.0003909596,0.001009159,0.0006378402,0.0007688166,0.0003749806,0.0001948267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473866,"about_ca_system_score_gemma":0.0001802109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004015487,"about_ca_topic_score_gemma":0.008509926,"domain_scores_codex":[0.9990373,0.0004468737,0.00003565565,0.0002950703,0.0001118897,0.00007329955],"domain_scores_gemma":[0.9953517,0.002535211,0.001022734,0.00075807,0.0001898273,0.0001424473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001824496,0.00003828854,0.9705957,0.00005265689,0.0003174382,0.000249215,0.0007338764,0.006043134,0.01094096,0.0006755849,0.0003079772,0.009862747],"study_design_scores_gemma":[0.000004912357,0.00005636637,0.9903652,0.000004665853,0.00004008961,0.0001293462,0.0002021335,0.008021773,0.0003960739,0.0005654304,0.0001987922,0.00001525517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952236,0.00008822843,0.003651955,0.00005938224,0.000003531477,0.000008913058,0.00006573716,0.00003418752,0.000864541],"genre_scores_gemma":[0.998836,0.00003303903,0.0009176451,0.00001766695,0.000006022521,0.000005805472,0.00007204822,0.00001095469,0.0001007093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004015487,"threshold_uncertainty_score":0.01057148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009430829823593478,"score_gpt":0.2321487398871351,"score_spread":0.2227179100635416,"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."}}