{"id":"W3160560371","doi":"10.5751/es-12280-260220","title":"Assessment of urban resilience based on the transformation of resource-based cities: a case study of Panzhihua, China","year":2021,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; International Centre for Integrated Mountain Development","keywords":"China; Resilience (materials science); Resource (disambiguation); Transformation (genetics); Geography; Urban resilience; Fang; Zhàng; Psychological resilience; Environmental resource management; Environmental planning; Ecology; Political science; Urban planning; Environmental science; Archaeology; Biology; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004554021,0.00007390847,0.000184174,0.00002664331,0.0001409003,0.000005373008,0.000298724,0.0001169248,0.000008582196],"category_scores_gemma":[0.00008305798,0.00005653455,0.00006579331,0.0002692745,0.0002493736,0.00005929272,0.00008370522,0.000215707,4.425255e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002675558,"about_ca_system_score_gemma":0.0001396472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423819,"about_ca_topic_score_gemma":0.00004857796,"domain_scores_codex":[0.9991526,0.0001589833,0.000254127,0.0001772467,0.0001446021,0.0001124247],"domain_scores_gemma":[0.9985989,0.0006836985,0.0001602975,0.0004770779,0.00006687077,0.00001316808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000918784,0.006995861,0.2790485,0.0009223372,0.0004368358,0.0005532612,0.2192699,0.1087589,0.003796925,0.3616424,0.002258637,0.01622466],"study_design_scores_gemma":[0.003054168,0.004718071,0.220617,0.00007738863,0.00005758358,0.00007177883,0.08265288,0.6650735,0.01871127,0.004517102,0.0001586082,0.0002906734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542317,0.00001656631,0.1441643,0.0006697319,0.00003857019,0.0001969584,0.000003601698,0.00002606832,0.0006525443],"genre_scores_gemma":[0.9879487,0.000006927815,0.01177997,0.0002267019,0.000002653271,0.00002057746,7.524107e-7,0.00000226689,0.00001146251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5563146,"threshold_uncertainty_score":0.2305412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097996643063516,"score_gpt":0.264531429514531,"score_spread":0.2535514630838958,"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."}}