{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007774112,0.000298913,0.0001401851,0.001517463,0.006331573,0.003829837,0.000725015,0.0006131521,0.01575173],"category_scores_gemma":[0.002480772,0.00008167292,0.0001319071,0.003296362,0.001568288,0.001083384,0.002746572,0.0009470816,0.0003679559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02236479,"about_ca_system_score_gemma":0.04090593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.812089,"about_ca_topic_score_gemma":0.9418743,"domain_scores_codex":[0.9994571,0.00008946974,0.000005494544,0.00003139524,0.0000692649,0.000347323],"domain_scores_gemma":[0.9983524,0.0002044535,0.000125892,0.00005927645,0.00041775,0.0008402428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00043501,0.0004240145,0.07205077,0.0006971659,0.00004598468,0.0005029188,0.05663013,0.001561365,0.0005995532,0.165182,0.2364345,0.4654365],"study_design_scores_gemma":[0.00003961294,0.00005957397,0.2015332,0.0007813033,0.00005029484,0.00008920531,0.1058772,0.0003185034,0.0003035051,0.005540004,0.6853766,0.00003102094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2433668,0.005542386,0.0004739784,0.02129717,0.0002547113,0.0001407282,0.001595212,0.0001023596,0.7272267],"genre_scores_gemma":[0.8952249,0.005575717,0.001013539,0.001081071,0.00007780673,0.0001315793,0.0008926459,0.00005445369,0.09594832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.187911,"threshold_uncertainty_score":0.3780353,"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."}}