{"id":"W2975420940","doi":"10.1029/2019eo134291","title":"Indigenous Knowledge Puts Industrial Pollution in Perspective","year":2019,"lang":"en","type":"article","venue":"Eos","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Perspective (graphical); Pollution; Industrial pollution; Environmental planning; Environmental science; Business; Geography; Computer science; Ecology; Artificial intelligence","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":[0.00007921502,0.00005937366,0.00007125521,0.000109063,0.00001425791,0.00001030075,0.00005840605,0.00006079083,0.00006503463],"category_scores_gemma":[0.000006042425,0.00005771549,0.00001850289,0.0001124797,0.000005415269,0.00002010504,0.00001939858,0.0001328507,0.0005564324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168803,"about_ca_system_score_gemma":0.000009217441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005341702,"about_ca_topic_score_gemma":0.00002265835,"domain_scores_codex":[0.9996406,0.00001374931,0.0000686385,0.00008533723,0.00005132543,0.000140325],"domain_scores_gemma":[0.9998682,0.000007410428,0.000005353541,0.00009087034,0.000006709368,0.00002148632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001072353,0.0005956517,0.05781703,0.000361238,0.0004379083,0.0001004279,0.3073169,0.2803781,0.00417559,0.01013146,0.06363284,0.2749456],"study_design_scores_gemma":[0.005310307,0.0004071424,0.07139816,0.0003900019,0.00004360243,0.000008772587,0.02377975,0.04756643,0.002854815,0.0002999076,0.8466799,0.001261257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933194,0.0003635428,0.00005624116,0.00004553238,0.0005904392,0.0001997564,0.000001458991,0.0001091625,0.1053144],"genre_scores_gemma":[0.9974773,0.00000476851,0.00001592509,0.000009258008,0.0001674283,0.000006853245,0.000001572365,0.0000110705,0.002305836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.783047,"threshold_uncertainty_score":0.7151999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131600809765244,"score_gpt":0.2161291286722385,"score_spread":0.2029690476957141,"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."}}