{"id":"W3017161276","doi":"10.5751/es-11464-250205","title":"Multiattribute decision making for the assessment of disaster resilience in the Three Gorges Reservoir Area","year":2020,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Program for New Century Excellent Talents in University; China University of Geosciences; Natural Science Foundation of Hubei Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Three gorges; Resilience (materials science); Chen; Geography; Environmental resource management; Water resource management; Ecology; Environmental science; Engineering; Biology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01533655,0.001773184,0.00186725,0.004509317,0.001497303,0.003294302,0.001699525,0.001942173,0.00281628],"category_scores_gemma":[0.0237111,0.0005652388,0.003296725,0.002969114,0.001143018,0.002040921,0.003267032,0.003021268,0.0002906437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880909,"about_ca_system_score_gemma":0.002177494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175768,"about_ca_topic_score_gemma":0.01239369,"domain_scores_codex":[0.9902366,0.007280016,0.000420564,0.0006866435,0.0008042197,0.0005718647],"domain_scores_gemma":[0.9808244,0.01531899,0.0009601564,0.0004870058,0.001320266,0.001089149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003264526,0.001510803,0.1477494,0.0006236925,0.001950233,0.0006922812,0.001546452,0.685641,0.001688278,0.009600503,0.003723613,0.1420092],"study_design_scores_gemma":[0.00005513081,0.0003864361,0.01828067,0.0001030722,0.0001539574,0.00005861848,0.001319401,0.9645283,0.0005226621,0.01387329,0.0006437124,0.00007472868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8840836,0.001240189,0.1084173,0.001825868,0.0001894767,0.0004675187,0.001326889,0.0001504677,0.002298569],"genre_scores_gemma":[0.964756,0.0002441879,0.03378173,0.00009611521,0.00003242139,0.0002384253,0.0005174864,0.00001178201,0.0003217745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533655,"threshold_uncertainty_score":0.08110845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629866343029954,"score_gpt":0.3269075942030404,"score_spread":0.2906089307727409,"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."}}