{"id":"W3112884168","doi":"10.3389/fclim.2020.605206","title":"Grand Challenges for Climate Risk Management","year":2020,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Specialty; Front (military); Risk management; Medicine; Political science; Environmental resource management; Geography; Business; Meteorology; Environmental science; Family medicine","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":[0.0004937306,0.0001851452,0.0002550322,0.00002642904,0.0001559211,0.00002695276,0.0003166765,0.00007466616,0.0001672814],"category_scores_gemma":[0.00006300879,0.0001836852,0.00009569775,0.0001896099,0.0001295976,0.0001981335,0.0003086461,0.000126592,0.00009957812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069731,"about_ca_system_score_gemma":0.00000230951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236367,"about_ca_topic_score_gemma":0.00007107553,"domain_scores_codex":[0.9982314,0.00005420042,0.0002682774,0.0005543203,0.0002188941,0.0006729789],"domain_scores_gemma":[0.9994528,0.00004113016,0.0001280552,0.0002502993,0.000005899416,0.0001218278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001854521,0.000428343,0.767906,0.003177947,0.0000893642,0.0001143531,0.02381072,0.003532428,0.00003655914,0.002227319,0.04654115,0.1502813],"study_design_scores_gemma":[0.007034421,0.0006568617,0.2720092,0.0001488594,0.0001875724,0.00000361309,0.05686948,0.02046422,0.0003521176,0.02668343,0.6140825,0.001507672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825651,0.006873681,0.005570909,0.01174827,0.00195167,0.003704193,0.0007382368,0.0003720888,0.08647586],"genre_scores_gemma":[0.7756787,0.1632099,0.05696136,0.002635508,0.0002507178,0.0009027069,0.00005374546,0.0001208842,0.0001864677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5675414,"threshold_uncertainty_score":0.7490463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347030979575207,"score_gpt":0.2358598568542165,"score_spread":0.2123895470584644,"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."}}