{"id":"W3107011714","doi":"10.1088/1755-1315/588/5/052056","title":"Resilient Leaders for Resilient Cities","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Variety (cybernetics); Sensibility; Reflexivity; Resilience (materials science); Sociology; Psychological resilience; Epistemology; Knowledge management; Business; Psychology; Engineering ethics; Cognitive science; Political science; Computer science; Social psychology; Engineering; Artificial intelligence; Social science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159241,0.000353801,0.0001997636,0.000775705,0.003590203,0.005183667,0.0006139504,0.001565137,0.01695441],"category_scores_gemma":[0.002734862,0.0001475453,0.0003306769,0.0005246856,0.008693758,0.003813271,0.004750501,0.00280646,0.001713697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937405,"about_ca_system_score_gemma":0.002502496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004808781,"about_ca_topic_score_gemma":0.001008454,"domain_scores_codex":[0.9983505,0.0008586269,0.00003759162,0.0001316428,0.0003009359,0.0003206943],"domain_scores_gemma":[0.9979355,0.0004110975,0.000352411,0.000157527,0.0003933788,0.0007501007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001381834,0.00003602485,0.0006545701,0.00008253801,0.000003486332,0.0001668055,0.004791592,0.0005044406,0.0002434516,0.9722964,0.01184173,0.009365086],"study_design_scores_gemma":[0.00004770117,0.0001252225,0.002335589,0.0003657391,0.00001155243,0.0004167295,0.02384986,0.003058111,0.0006019258,0.7145092,0.2546439,0.00003448928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09978294,0.00241404,0.04156294,0.133089,0.001997213,0.0001990402,0.00008855438,0.0003361541,0.7205302],"genre_scores_gemma":[0.9727951,0.0007048197,0.005159907,0.002269849,0.0002491616,0.00007787043,0.00002537929,0.0000381905,0.01867965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01695441,"threshold_uncertainty_score":0.05671817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289687625928765,"score_gpt":0.2500002780654124,"score_spread":0.2171034018061248,"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."}}