{"id":"W2034561854","doi":"10.1371/journal.pone.0115535","title":"The Impact of Roads on the Demography of Grizzly Bears in Alberta","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates; Ministry of Advanced Education, Government of Alberta; Shell Canada; Alberta Ecotrust Foundation; Suncor Energy Incorporated; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Alberta Conservation Association","keywords":"Grizzly Bears; Vital rates; Threatened species; Population; Geography; Demography; Ecology; Population density; Population size; Reproduction; Habitat; Mark and recapture; Ursus; Biology; Population growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381445,0.0001129053,0.0001137177,0.0006140235,0.0003955997,0.0004524709,0.0003621318,0.0001373871,0.0007298966],"category_scores_gemma":[0.0009436912,0.00008795475,0.0001715393,0.0005975518,0.0003675237,0.0001887895,0.0003217339,0.000170068,0.00007903985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069991,"about_ca_system_score_gemma":0.001471496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8357247,"about_ca_topic_score_gemma":0.9335774,"domain_scores_codex":[0.9998869,0.00002413743,0.000004932718,0.00002450786,0.00002900521,0.00003057409],"domain_scores_gemma":[0.9996755,0.00006242089,0.00007085556,0.00002622991,0.0001027474,0.00006224778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007733653,0.00001991021,0.9852594,0.0000100942,0.00002794935,0.0001696363,0.0007498488,0.00644647,0.000666731,0.0003269909,0.0003631838,0.005882503],"study_design_scores_gemma":[0.0000013651,0.000007131819,0.9966937,0.000003264378,0.000005048625,0.00002853843,0.0003619092,0.002579923,0.00003228291,0.00004901284,0.0002340097,0.000003651686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991653,0.0000419369,0.00006856828,0.00003126682,0.000001107063,0.000001568309,0.0001917183,0.000003787522,0.0004947255],"genre_scores_gemma":[0.9992294,0.00006724778,0.0001141535,0.000005243241,0.000001244383,0.000001243543,0.0003066571,0.000001994919,0.0002727761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642753,"threshold_uncertainty_score":0.3304856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604414815234283,"score_gpt":0.2056107774317892,"score_spread":0.1895666292794463,"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."}}