{"id":"W3216157563","doi":"10.1093/biosci/biab067","title":"Navigating Ecological Transformation: Resist–Accept–Direct as a Path to a New Resource Management Paradigm","year":2021,"lang":"en","type":"article","venue":"BioScience","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"South Central Climate Adaptation Science Center; The Wildlife Society","keywords":"Context (archaeology); Natural resource; Natural resource management; Resource (disambiguation); Ecosystem management; Paradigm shift; Face (sociological concept); Resource management (computing); Natural (archaeology); Environmental resource management; Business; Knowledge management; Computer science; Management science; Ecology; Ecosystem; Sociology; Geography; Economics; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003237223,0.0001397771,0.0001175631,0.00002267682,0.0002868374,0.0001437054,0.0004768455,0.00004030412,0.004287658],"category_scores_gemma":[0.0000546913,0.0001240982,0.00006110832,0.001098751,0.00012394,0.0002651302,0.0003445491,0.0001015657,0.003953473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273401,"about_ca_system_score_gemma":0.00001904115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002607979,"about_ca_topic_score_gemma":0.0000937557,"domain_scores_codex":[0.9983417,0.00005699235,0.0002174193,0.0004710522,0.0004812847,0.0004314929],"domain_scores_gemma":[0.9993308,0.00003219497,0.00004711203,0.0003247229,0.000003421257,0.0002618006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001090676,0.0006007942,0.009835704,0.0001268656,0.00003982177,0.0008937086,0.01398028,0.004383307,0.005426786,0.05058194,0.3606632,0.5533586],"study_design_scores_gemma":[0.0003251684,0.0001546674,0.04022841,0.00006799618,0.00001727536,0.0000219523,0.0003454147,0.0005272292,0.001156689,0.001133037,0.9556606,0.0003615927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3757132,0.00004080034,0.0004798869,0.0103987,0.0001498745,0.000448893,0.00000392842,0.0001280467,0.6126367],"genre_scores_gemma":[0.9495791,0.00004790792,0.009430591,0.007014543,0.00009643798,0.00004380296,0.000009220319,0.00001274656,0.0337657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5949973,"threshold_uncertainty_score":0.9968221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450715974788293,"score_gpt":0.2653690671306851,"score_spread":0.2508619073828022,"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."}}