{"id":"W2909246210","doi":"10.1002/pan3.10081","title":"Scientific shortcomings in environmental impact statements internationally","year":2020,"lang":"en","type":"article","venue":"People and Nature","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; Fisheries and Oceans Canada; World Wildlife Fund Canada; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Pacific Institute for Climate Solutions; National Science Foundation","keywords":"Credibility; Judgement; Scope (computer science); Transparency (behavior); Process (computing); Environmental impact assessment; Sample (material); Impact assessment; Environmental resource management; Scale (ratio); Sustainable development; Environmental planning; Precautionary principle; Business; Risk analysis (engineering); Computer science; Political science; Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001121314,0.0001357699,0.0001278475,0.000026714,0.0001116189,0.00007836497,0.0001587322,0.00009489775,0.002234544],"category_scores_gemma":[0.00001421524,0.0001181141,0.00004599592,0.0001618689,0.0001143184,0.0005306443,0.0002614236,0.000284697,0.0001623517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931472,"about_ca_system_score_gemma":0.000006144684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326022,"about_ca_topic_score_gemma":0.0002218681,"domain_scores_codex":[0.9989241,0.00002694931,0.0001524308,0.0003193149,0.0003471261,0.0002300255],"domain_scores_gemma":[0.9996797,0.00001693842,0.00004454864,0.00007777577,8.409896e-7,0.0001801371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002231719,0.00008318054,0.9801483,0.000002673018,0.00001185193,0.000008265039,0.002094524,0.00004023407,0.01386606,0.00001200994,0.001243569,0.00246709],"study_design_scores_gemma":[0.0003925624,0.00006245406,0.9954166,0.000003668011,0.000006108974,0.000002290513,0.0002413802,0.0005154713,0.0005036554,0.0002025736,0.002510546,0.0001426425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976967,0.0001026754,0.0000147843,0.0007366808,0.00008083403,0.0001544534,0.000050334,0.00001275836,0.00115078],"genre_scores_gemma":[0.9984545,0.00006206537,0.0001180884,0.0009437408,0.00002878114,0.000006457247,0.00006547407,0.00001064209,0.0003102931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526842,"threshold_uncertainty_score":0.9986776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008076922080402369,"score_gpt":0.2977581122923269,"score_spread":0.2896811902119245,"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."}}