{"id":"W2986154052","doi":"10.1007/s13280-019-01278-8","title":"What is a bad flood? Local perspectives of extreme floods in the Peruvian Amazon","year":2019,"lang":"en","type":"article","venue":"AMBIO","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Conference of Latin Americanist Geographers","keywords":"Flood myth; Livelihood; Flooding (psychology); Floodplain; Amazon rainforest; Geography; Riparian zone; Flood mitigation; Natural hazard; Agriculture; Habitat; Ecology; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007464941,0.0001272317,0.0002257676,0.0007766855,0.004005474,0.002026552,0.0003866245,0.001035608,0.002932371],"category_scores_gemma":[0.002062348,0.0001591976,0.0001190003,0.001087574,0.002643052,0.001177809,0.002399421,0.001255368,0.00008858959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368723,"about_ca_system_score_gemma":0.0009210079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03398625,"about_ca_topic_score_gemma":0.1351807,"domain_scores_codex":[0.9996586,0.0001771591,0.00001110043,0.00002565761,0.00001998977,0.0001075563],"domain_scores_gemma":[0.9990348,0.0003270055,0.0002676895,0.00002882465,0.00008166108,0.0002599615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002116746,0.00008761421,0.2764176,0.0004319798,0.0000835078,0.007112528,0.6643249,0.0004125026,0.002457692,0.01179819,0.005863627,0.03079827],"study_design_scores_gemma":[0.000007817186,0.00006119899,0.3219268,0.000182324,0.00003378408,0.0009411808,0.6490019,0.0001442395,0.0001115244,0.002505217,0.02505071,0.00003331653],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722986,0.002224339,0.0001284217,0.0134004,0.00003943395,0.000007854528,0.00006472963,0.000005504123,0.01183084],"genre_scores_gemma":[0.998421,0.0008152017,0.00004128419,0.0002641315,0.00003043293,0.000004012848,0.00001302359,0.000002104086,0.0004088498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03398625,"threshold_uncertainty_score":0.06757683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530478071709943,"score_gpt":0.2438912189031071,"score_spread":0.2285864381860077,"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."}}