{"id":"W7077299241","doi":"","title":"Canadian, Argentinean and Colombian Programs Building Resilience to Extreme Events","year":2016,"lang":"en","type":"other","venue":"Conicet","topic":"Globalization, Historical Perspectives, and International Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychological resilience; Flood myth; Corporate governance; Resilience (materials science); Agriculture; Climate change; Capital (architecture); Institutional analysis; Climate resilience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001645483,0.0001037022,0.0001204603,0.0001803795,0.0002607541,0.00004884031,0.0002373407,0.0001479625,0.003728206],"category_scores_gemma":[0.0003802826,0.000101273,0.00003213699,0.0001893508,0.0001112599,0.00006324669,0.00002448275,0.00005967756,0.0004124657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009572253,"about_ca_system_score_gemma":0.0005128984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2110312,"about_ca_topic_score_gemma":0.6853452,"domain_scores_codex":[0.9989849,0.00006142475,0.0001165798,0.0002781005,0.0002780657,0.0002809234],"domain_scores_gemma":[0.9992751,0.00002908586,0.0000816536,0.000114003,0.0001171893,0.0003828967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001518726,0.00001388322,0.004384321,0.000003728783,0.00001952058,0.0000015471,0.0006870929,3.25925e-7,0.000003478996,0.1939823,0.7989445,0.001957702],"study_design_scores_gemma":[0.00008564672,0.00001040956,0.001015748,0.0000975557,0.00000948894,2.872801e-7,0.0001302925,0.000002340584,3.265944e-7,0.001711871,0.9968033,0.0001327012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001507781,0.0007160617,0.000422241,0.002162925,0.0007356339,0.0004111744,0.00005270274,0.00007188004,0.9952766],"genre_scores_gemma":[0.02137814,0.0004498734,0.0003944084,0.0002040062,0.000405133,0.00002071992,0.00001228367,0.00005362053,0.9770818],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.474314,"threshold_uncertainty_score":0.9971825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926051770809185,"score_gpt":0.3209542723192738,"score_spread":0.2916937546111819,"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."}}