{"id":"W2754842311","doi":"10.1002/ecs2.1936","title":"Evaluating functional recovery of habitat for threatened woodland caribou","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Alberta Biodiversity Monitoring Institute","keywords":"Woodland caribou; Vegetation (pathology); Threatened species; Woodland; Predation; Ecology; Habitat; Population; Predator; Restoration ecology; Environmental science; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002674593,0.000057531,0.00008733062,0.000002981142,0.0003561105,0.00001822932,0.0001280566,0.00005966389,0.00311782],"category_scores_gemma":[0.0002097688,0.00005375829,0.00004755086,0.00001544147,0.00008290756,0.0002234173,0.0000606142,0.00003841631,0.0001846865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000402237,"about_ca_system_score_gemma":0.00001807381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694028,"about_ca_topic_score_gemma":0.002012171,"domain_scores_codex":[0.9995094,0.00001640521,0.0001195506,0.0001507578,0.00009124023,0.0001126372],"domain_scores_gemma":[0.999502,0.00008913899,0.0001502739,0.0002206461,0.00001418733,0.00002377047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615369,0.0000349808,0.9058259,0.000008892704,0.00002376922,4.701834e-7,0.00003675517,0.001869584,0.0008093226,0.00008426324,0.05999676,0.03114775],"study_design_scores_gemma":[0.0004835084,0.0001138139,0.9906858,0.0000081824,0.00001561168,0.000001065482,0.00001770277,0.001657653,0.0002511915,0.005952973,0.0007482643,0.00006427529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797329,0.00002125308,0.0004314911,0.0006317976,0.0003065336,0.0001625915,0.00001270251,0.000009301425,0.01869149],"genre_scores_gemma":[0.9929156,0.000003840962,0.003715175,0.0001918267,0.00005975793,0.00004264934,0.0000138422,0.000006254162,0.003051003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08485985,"threshold_uncertainty_score":0.9977934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05046302040683667,"score_gpt":0.2926197323186613,"score_spread":0.2421567119118247,"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."}}