{"id":"W2034523925","doi":"10.2193/2007-079","title":"Determining Sustainable Levels of Cumulative Effects for Boreal Caribou","year":2008,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal; Alberta Pacific Forest Industries; University of Alberta; Government of Alberta","funders":"","keywords":"Boreal; Ecology; Habitat; Threatened species; Range (aeronautics); Cumulative effects; Population; Geography; Woodland caribou; Environmental science; Disturbance (geology); Vital rates; Habitat destruction; Population growth; Physical geography; Biology; Demography","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":[0.0008568888,0.0001524072,0.0003656675,0.0001257737,0.0001257934,0.00001439135,0.0003038275,0.00004388874,0.00003443645],"category_scores_gemma":[0.0001231746,0.0001298157,0.0001678439,0.0002025942,0.00009136789,0.0003366966,0.0001816818,0.00009646453,0.00000875048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198987,"about_ca_system_score_gemma":0.00001874481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572041,"about_ca_topic_score_gemma":0.000008365115,"domain_scores_codex":[0.9983374,0.00008708319,0.0005416023,0.0001628066,0.00052881,0.00034233],"domain_scores_gemma":[0.9987983,0.0002352574,0.0006156851,0.0001932139,0.00004812527,0.0001094168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173962,0.001930987,0.4417097,0.006447771,0.002320711,0.00698053,0.01396368,0.04084798,0.003057252,0.004556509,0.3312794,0.1457316],"study_design_scores_gemma":[0.00548398,0.002832536,0.8882758,0.0004812554,0.000315465,0.000272406,0.001165792,0.01050283,0.004035631,0.0009066525,0.08517359,0.0005540252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793311,0.00004334875,0.01112532,0.0002055384,0.0003312172,0.0009338053,0.000006392909,0.00001235964,0.008010917],"genre_scores_gemma":[0.9924305,0.0000140449,0.006007689,0.0002491085,0.00008899425,0.00001780979,8.456806e-7,0.00002019951,0.001170819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4465662,"threshold_uncertainty_score":0.529373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402077395613531,"score_gpt":0.2438236672713989,"score_spread":0.2298028933152635,"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."}}