{"id":"W2261223757","doi":"10.36487/acg_repo/852_6","title":"Using Traditional Ecological Knowledge to Develop Closure Criteria in Tropical Australia","year":2008,"lang":"en","type":"article","venue":"Mine closure","topic":"Mining and Resource Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Statutory law; Closure (psychology); Government (linguistics); Freehold; Northern territory; Environmental resource management; Environmental planning; Business; Process (computing); Traditional knowledge; Geography; Political science; Public relations; Ecology; Environmental science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009370152,0.000183171,0.0002311262,0.0001522092,0.00006659069,0.00001517984,0.0001455553,0.0001471403,0.0005370495],"category_scores_gemma":[0.0000504497,0.0001685399,0.00005036721,0.0004487394,0.00004064219,0.0000319229,0.00004371391,0.0002132089,0.0001410099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117953,"about_ca_system_score_gemma":0.00002201101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007676198,"about_ca_topic_score_gemma":0.00003489995,"domain_scores_codex":[0.9989746,0.00004589125,0.0002818093,0.0002224939,0.0001381024,0.0003370698],"domain_scores_gemma":[0.9996515,0.00003717069,0.00001335531,0.0001332624,0.00003836118,0.000126352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006172888,0.0007270986,0.6771162,0.0003012053,0.0001405987,0.001206121,0.00511911,0.06203489,0.003349873,0.001716587,0.2477585,0.000468037],"study_design_scores_gemma":[0.0005013305,0.00007623767,0.9445564,0.00004905626,0.0000113557,0.0000780066,0.00006866296,0.005245993,0.000183974,0.00002076566,0.04893266,0.0002755395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943233,0.0000878266,0.0004760069,0.0001505726,0.0003579477,0.0001448061,0.00001349798,0.0001204082,0.004325629],"genre_scores_gemma":[0.9922078,0.000004229448,0.005960861,0.00005238249,0.0003754431,0.00002185551,0.00001876634,0.00002308673,0.001335611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2674402,"threshold_uncertainty_score":0.6872858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1380348104765969,"score_gpt":0.3017959921923968,"score_spread":0.1637611817157999,"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."}}