{"id":"W2082363561","doi":"10.1016/j.gloenvcha.2010.09.007","title":"Mainstreaming local perceptions of hurricane risk into policymaking: A case study of community GIS in Mexico","year":2010,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Vulnerability (computing); Environmental planning; Mainstreaming; Hazard; Geography; Citizen journalism; Environmental resource management; Vulnerability assessment; Political science; Computer security; Computer science; Psychology","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":[0.0002051295,0.0001782124,0.000253432,0.00001892043,0.0001690422,0.000008480722,0.0002550182,0.0001256997,0.0003899218],"category_scores_gemma":[0.00002208072,0.00008079927,0.0000725281,0.0003520726,0.0002388242,0.000116453,0.0002821751,0.0003517455,0.000007580481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369876,"about_ca_system_score_gemma":0.000001739201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1335986,"about_ca_topic_score_gemma":0.2841856,"domain_scores_codex":[0.9988888,0.0002040863,0.000281463,0.00016542,0.0002042987,0.0002559493],"domain_scores_gemma":[0.9994817,0.00005810741,0.000193968,0.0001305729,0.000007628611,0.0001280269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002611865,0.003247312,0.8505625,0.000009783588,0.00001628581,0.00008398621,0.01640422,0.000002102446,0.06669773,0.000006113796,0.00001857593,0.06292529],"study_design_scores_gemma":[0.0003045469,0.0007127633,0.822543,0.00001012033,0.00002202854,0.0002243995,0.1757244,0.00001327169,0.0002443588,0.00003134321,0.00004557785,0.0001242872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984922,0.00002581688,4.001883e-7,0.00005919215,0.00005502526,0.0004308299,0.0007365979,0.00001787909,0.0001820203],"genre_scores_gemma":[0.9997104,0.00003230329,0.00003233338,0.00005829496,0.00006942805,0.00002907677,0.00006415381,0.000001228649,0.00000271781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593201,"threshold_uncertainty_score":0.8721709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639616980632226,"score_gpt":0.2814371075226734,"score_spread":0.2450409377163511,"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."}}