{"id":"W7097853485","doi":"","title":"www.mdpi.com/journal/ijerph Commentary WWOSC 2014: Research Needs for Better Health Resilience to Weather Hazards","year":2016,"lang":"en","type":"article","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Resilience (materials science); Public health; Natural disaster; Warning system; Extreme weather; Witness; Variety (cybernetics)","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":[0.002709714,0.0005434795,0.00066399,0.0007827123,0.001339571,0.002687262,0.0016035,0.0145078,0.07263484],"category_scores_gemma":[0.01829792,0.0003483028,0.0008959988,0.0007205287,0.00198031,0.002298623,0.001595513,0.009221326,0.02473008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647008,"about_ca_system_score_gemma":0.0033714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968076,"about_ca_topic_score_gemma":0.004608222,"domain_scores_codex":[0.9986776,0.0003346703,0.0001221357,0.0002554345,0.0004632358,0.0001469967],"domain_scores_gemma":[0.9911484,0.004927674,0.000486511,0.0002612625,0.002081082,0.001095077],"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":[0.00001983222,0.00001045321,0.0000534804,0.0001756527,0.000005043112,0.0001395179,0.00005898169,0.00002056025,0.00005864382,0.001196309,0.9904687,0.007792782],"study_design_scores_gemma":[0.00002409338,0.00002320255,0.0003891656,0.0008406823,0.00001584058,0.0005950694,0.0003070325,0.00005853863,0.0001701169,0.004673108,0.9928818,0.00002127832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002174403,0.005053367,0.0002832215,0.88338,0.102234,0.00002221955,0.0003686071,0.00005683309,0.008384325],"genre_scores_gemma":[0.008401299,0.01976551,0.0006120763,0.632219,0.2840001,0.00008316844,0.0002372018,0.0001069453,0.05457479],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07263484,"threshold_uncertainty_score":0.2429878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038065892038624,"score_gpt":0.4088233003921846,"score_spread":0.3050167111883222,"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."}}