{"id":"W3012384412","doi":"10.1002/ieam.4265","title":"Methods for Postdisaster Impact Assessment: A Case Study of the Impacts of the Fundão Dam Failure on Terrestrial Species Threatened with Extinction","year":2020,"lang":"en","type":"review","venue":"Integrated Environmental Assessment and Management","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"Fundação Renova","keywords":"Threatened species; Tailings; Biodiversity; Ecosystem; Environmental impact assessment; Watershed; Environmental resource management; Baseline (sea); Terrestrial ecosystem; Environmental science; Environmental protection; Geography; Habitat; Ecology; Environmental planning; Fishery; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003097155,0.0005039321,0.000879892,0.00003214066,0.000232352,0.0000654852,0.0003798382,0.0001228841,0.0001496305],"category_scores_gemma":[0.000002588009,0.0001313894,0.0004740457,0.000318749,0.000134277,0.00007591354,0.0001958919,0.0002934063,5.586539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192961,"about_ca_system_score_gemma":0.00002536017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278301,"about_ca_topic_score_gemma":0.0004182445,"domain_scores_codex":[0.9978159,0.0004260603,0.0006029202,0.0004990823,0.0004172637,0.0002387552],"domain_scores_gemma":[0.9989391,0.0001804673,0.0005691476,0.0002171129,0.00000897268,0.00008517445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002092595,0.00165182,0.006237573,0.0006089541,0.001246726,0.00004573833,0.0002541009,0.000008904312,0.0006715304,0.00004999333,0.0001604721,0.9888549],"study_design_scores_gemma":[0.005600443,0.01664963,0.1882324,0.005648463,0.00868273,0.0002343614,0.04223698,0.0001824539,0.0001912262,0.00004908064,0.7308332,0.001459053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243814,0.05423877,0.0001657836,0.0005799208,0.0007963011,0.01813569,0.000797794,0.00006636106,0.0008380165],"genre_scores_gemma":[0.7595934,0.23843,0.0006588983,0.00007815922,0.0001023495,0.0005370952,0.000330117,0.0000153996,0.0002546075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9873959,"threshold_uncertainty_score":0.5357904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153686526947491,"score_gpt":0.3493987708762644,"score_spread":0.2978619056067895,"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."}}