{"id":"W2113918943","doi":"10.1002/jwmg.535","title":"Quantifying grizzly bear selection of natural and anthropogenic edges","year":2013,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; Natural Resources Canada; Canadian Forest Service; University of Alberta; University of Victoria","funders":"","keywords":"Grizzly Bears; Ursus; Threatened species; Habitat; Ecology; Geography; Selection (genetic algorithm); Population; Environmental science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002917766,0.00007849465,0.000139042,0.00007640206,0.00008999748,0.00001975406,0.0001137192,0.00003649612,0.0005854642],"category_scores_gemma":[0.00002072908,0.00006524559,0.00004982454,0.0001551431,0.0001156871,0.0004094723,0.00008897653,0.000117702,0.00004713486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000547775,"about_ca_system_score_gemma":0.000004979418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005519337,"about_ca_topic_score_gemma":0.00002769936,"domain_scores_codex":[0.999191,0.00004865268,0.0003201495,0.0001017999,0.0002101125,0.0001282496],"domain_scores_gemma":[0.9995276,0.00003044704,0.0003031906,0.00006740605,0.00002485549,0.00004645652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002624148,0.00007289696,0.9539778,0.00002826575,0.00008857354,0.000005377565,0.0001164873,0.0002005723,0.001148361,0.0001771869,0.02528132,0.01887688],"study_design_scores_gemma":[0.0003261337,0.000133416,0.9939159,0.00002631049,0.00004658195,0.00003299592,0.000272431,0.0005215039,0.0002436163,0.0002549104,0.004155908,0.00007033265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955941,0.00008712457,0.0003680375,0.002956134,0.0002727566,0.0001388533,1.99711e-7,0.000006018476,0.0005767197],"genre_scores_gemma":[0.9958198,0.000181334,0.002785004,0.0008477364,0.00005577837,0.000002821897,4.089995e-7,0.000005488956,0.0003016408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03993803,"threshold_uncertainty_score":0.6410422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534199933843594,"score_gpt":0.2389023852679529,"score_spread":0.223560385929517,"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."}}