{"id":"W3018853292","doi":"10.1002/eap.2146","title":"Using Indigenous and Western knowledge systems for environmental risk assessment","year":2020,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Indigenous; Ecology; Traditional knowledge; Geography; Risk assessment; Environmental resource management; Environmental protection; Environmental science; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.04424601,0.0006708624,0.000537099,0.006002844,0.007550932,0.01452189,0.002071491,0.002646883,0.00417497],"category_scores_gemma":[0.02969638,0.0003662949,0.0005214827,0.004122083,0.02975301,0.01896079,0.01411119,0.0032304,0.000484148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132316,"about_ca_system_score_gemma":0.01417594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197755,"about_ca_topic_score_gemma":0.01486247,"domain_scores_codex":[0.9583448,0.0338235,0.001399637,0.001464737,0.004035007,0.0009324118],"domain_scores_gemma":[0.9645653,0.02685921,0.001880434,0.003181575,0.002566515,0.0009470808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002883993,0.00009830449,0.002042847,0.0004814009,0.00003357428,0.0005402685,0.1747487,0.0012459,0.000510995,0.7351133,0.002134688,0.0830212],"study_design_scores_gemma":[0.00002397091,0.00008225886,0.002549303,0.001937776,0.00003887917,0.0003506057,0.1092856,0.002873841,0.0007772617,0.7384251,0.1435604,0.00009511469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09990392,0.009810276,0.2270119,0.0367141,0.0004768174,0.001111085,0.0001834272,0.0002073421,0.6245812],"genre_scores_gemma":[0.8805734,0.003869395,0.1017884,0.001973349,0.0001412521,0.000811772,0.0001120672,0.00004815797,0.01068214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.992449,"threshold_uncertainty_score":0.2339981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04374448591244377,"score_gpt":0.3259746543695334,"score_spread":0.2822301684570896,"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."}}