{"id":"W2726911439","doi":"10.1071/pc16040","title":"Can ecological thinning deliver conservation outcomes in high-density river red gum forests? Establishing an adaptive management experiment","year":2017,"lang":"en","type":"article","venue":"Pacific Conservation Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Floodplain; Adaptive management; Thinning; Agroforestry; Forest management; Geography; Eucalyptus camaldulensis; Understory; Ecology; Ecosystem; Dominance (genetics); Environmental science; National park; Environmental resource management; Forestry; Biology; Canopy; Eucalyptus","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":[],"consensus_categories":[],"category_scores_codex":[0.0006382811,0.0001858668,0.0002864457,0.00007279155,0.0007608286,0.00005560841,0.0003106441,0.0001783246,0.0002410289],"category_scores_gemma":[0.0002307217,0.0001683763,0.00004089203,0.00007879576,0.0006466469,0.0004509343,0.0003757039,0.0001662501,0.00004173007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706012,"about_ca_system_score_gemma":0.00001096717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004400727,"about_ca_topic_score_gemma":0.04391939,"domain_scores_codex":[0.9984581,0.000253989,0.0003523767,0.0005058204,0.0001144543,0.0003152674],"domain_scores_gemma":[0.998948,0.0002305984,0.0003259408,0.0003972255,0.00003930661,0.00005896974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006378056,0.00009522996,0.9832571,0.000002912136,0.00003430075,0.00001584246,0.0009299913,0.0001727551,0.0004394367,0.01386761,0.0002919728,0.000829068],"study_design_scores_gemma":[0.0006848478,0.0001427322,0.9759685,0.000006892384,0.00001394388,0.000001569993,0.0009852214,0.007498552,0.00006044779,0.0141204,0.0003257582,0.000191164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859229,0.000006835741,0.0008011611,0.008920274,0.0003013538,0.0004128873,0.00001038113,0.00005080791,0.003573429],"genre_scores_gemma":[0.9947397,0.00002874507,0.003711078,0.0008844066,0.00001391588,0.00009198198,0.00007091271,0.000007890922,0.0004514059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03951867,"threshold_uncertainty_score":0.9735266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958362798389215,"score_gpt":0.2695946507781902,"score_spread":0.2400110227942981,"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."}}