{"id":"W4386374768","doi":"10.1016/j.ijdrr.2023.103970","title":"Building parliamentary capacities for advancing the disaster risk reduction agenda: Notes and reflections from a capacity-building field training for parliamentarians of the Americas and the Caribbean","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disaster risk reduction; Capacity building; General partnership; Resilience (materials science); Framing (construction); Politics; Political science; Psychological resilience; Environmental resource management; Environmental planning; Public relations; Engineering; Economics; Civil engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327324,0.0001246753,0.0001912932,0.0001270419,0.0009529723,0.0002108041,0.0003473662,0.00004522728,0.000007734268],"category_scores_gemma":[0.0006460181,0.00007287285,0.00018784,0.000194208,0.000859523,0.0005433632,0.00008390579,0.0002303175,1.814322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009884897,"about_ca_system_score_gemma":0.00004469491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005527586,"about_ca_topic_score_gemma":0.001728908,"domain_scores_codex":[0.9984231,0.0003127747,0.000439761,0.0001902772,0.0004230383,0.0002110701],"domain_scores_gemma":[0.9979496,0.0009598618,0.0007588526,0.0001201528,0.0001703858,0.00004116747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001410031,0.00009262856,0.006391277,0.00004254936,0.001450718,0.000001171407,0.7156479,0.00468715,0.01195676,0.009227574,0.002761428,0.2463308],"study_design_scores_gemma":[0.002232824,0.00021843,0.003452079,0.0003420205,0.0007294635,0.00004005824,0.9062783,0.001724685,0.002363788,0.06851983,0.01386313,0.0002354345],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611413,0.0001294747,0.02369563,0.01120155,0.003144089,0.0004986085,0.00008921198,0.00001354031,0.0000865185],"genre_scores_gemma":[0.9946318,0.0006290601,0.003197959,0.00009614143,0.00128589,0.00004513647,0.000003240393,0.00001244109,0.00009838618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460954,"threshold_uncertainty_score":0.8356093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601721290162982,"score_gpt":0.352171964290772,"score_spread":0.2961547513891422,"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."}}