{"id":"W2811218732","doi":"10.1002/wsb.891","title":"From climate to caribou: How manufactured uncertainty is affecting wildlife management","year":2018,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; Lakehead University; Northern Ontario Academic Medicine Association","funders":"Wildlife Conservation Society","keywords":"Woodland caribou; Boreal; Wildlife; Threatened species; Climate change; Geography; Taiga; Wildlife management; Habitat; Ecology; Environmental resource management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008846979,0.0002389018,0.000264797,0.001588983,0.009904805,0.01106487,0.001260761,0.00297457,0.003405643],"category_scores_gemma":[0.0181085,0.0002396992,0.0002310403,0.001547743,0.02275691,0.004791007,0.00548572,0.005485025,0.0001900935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01794835,"about_ca_system_score_gemma":0.01164796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3034803,"about_ca_topic_score_gemma":0.3423621,"domain_scores_codex":[0.9939487,0.003614634,0.0001340438,0.0003945437,0.001166341,0.0007417285],"domain_scores_gemma":[0.9847636,0.00949676,0.001905266,0.000296897,0.002342791,0.001194677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001263301,0.0001407396,0.07512376,0.0005564441,0.0001138968,0.001653746,0.5177803,0.00141638,0.001019481,0.2891037,0.02945895,0.08350632],"study_design_scores_gemma":[0.00002079464,0.00009484505,0.05317979,0.00182753,0.0001324692,0.0004227742,0.5895685,0.001520413,0.0008226228,0.1333661,0.2188907,0.0001535818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4509348,0.02993759,0.00444095,0.3651435,0.001082545,0.0000295368,0.0001106368,0.00005464189,0.1482659],"genre_scores_gemma":[0.9893879,0.004125632,0.0002131092,0.004944736,0.0001489187,0.000006716681,0.00001206371,0.00001081479,0.001150062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900952,"threshold_uncertainty_score":0.6034276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217540669100682,"score_gpt":0.325294681450243,"score_spread":0.3031192747592362,"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."}}