{"id":"W2022983717","doi":"10.1071/ea05219","title":"A decision framework for natural resource management: a case study using plant introductions","year":2006,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Scope (computer science); Risk analysis (engineering); Natural resource management; Environmental management system; Resource (disambiguation); Environmental resource management; Natural resource; Management science; Cost–benefit analysis; Decision analysis; Computer science; Business; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008755327,0.0007195886,0.0008027075,0.001193613,0.006046003,0.005979596,0.001929164,0.007536495,0.007389361],"category_scores_gemma":[0.007430046,0.0003966803,0.001531161,0.002674918,0.003954372,0.004073746,0.003162088,0.003510659,0.0004651352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008735317,"about_ca_system_score_gemma":0.00406944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220212,"about_ca_topic_score_gemma":0.04633024,"domain_scores_codex":[0.9935915,0.004681725,0.0001612307,0.0002932011,0.0006077447,0.000664606],"domain_scores_gemma":[0.9911031,0.007182385,0.0002936,0.0002413163,0.0003851475,0.0007945252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009285359,0.003322297,0.01256311,0.0005761923,0.0001718806,0.03246442,0.01797499,0.3193058,0.003164268,0.5491042,0.009907079,0.05051718],"study_design_scores_gemma":[0.001019201,0.002569684,0.01142215,0.0007433488,0.0001905378,0.004798632,0.05580822,0.5447274,0.003285217,0.2056917,0.1692825,0.0004613881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671238,0.001961188,0.1003023,0.01017809,0.0002289428,0.001394093,0.0006781609,0.0001757205,0.1179578],"genre_scores_gemma":[0.905064,0.001153941,0.07991197,0.0004748237,0.00005745961,0.0005852176,0.0002211897,0.00004380269,0.01248767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02220212,"threshold_uncertainty_score":0.06337941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07148940673243842,"score_gpt":0.2690413289398415,"score_spread":0.197551922207403,"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."}}