{"id":"W4387871109","doi":"10.1109/dasa59624.2023.10286795","title":"Machine Learning Models for Storm Damage Prediction in Nova Scotia, Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Interpretability; Robustness (evolution); Storm; Computer science; Random forest; Machine learning; Artificial neural network; Artificial intelligence; Deep learning; Scalability; Nova scotia; Predictive power; Predictive modelling; Wind power; Meteorology; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004873085,0.0005312326,0.0003979068,0.0006365603,0.0008225764,0.0009398064,0.0009956008,0.0004747282,0.002126899],"category_scores_gemma":[0.001938609,0.0002672603,0.0003783065,0.0008018864,0.0003402828,0.0003264787,0.0004585753,0.0006621096,0.0002765494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107602,"about_ca_system_score_gemma":0.00996292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820739,"about_ca_topic_score_gemma":0.9730545,"domain_scores_codex":[0.9998443,0.00002434283,0.00001002036,0.00003325811,0.00003398698,0.00005407212],"domain_scores_gemma":[0.9992242,0.0002335523,0.00005872359,0.00002160743,0.0004080626,0.00005383391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001132476,0.00005918229,0.02881653,0.00004631731,0.00004460022,0.0001722253,0.00004785366,0.9477106,0.0003714476,0.001383159,0.00471374,0.01652112],"study_design_scores_gemma":[0.000005842709,0.000006142841,0.005368518,0.000008853659,0.0000052385,0.000006321285,0.00003892231,0.9936631,0.00008328716,0.0002583794,0.0005497907,0.000005750142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437864,0.002514174,0.03167833,0.002291554,0.0001524376,0.0001445527,0.006325534,0.000579956,0.01252697],"genre_scores_gemma":[0.9830043,0.0005848383,0.005374568,0.00007067064,0.00001716036,0.00003211715,0.002424229,0.00002768273,0.008464511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0179261,"threshold_uncertainty_score":0.0803625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208707946950124,"score_gpt":0.2143141779571354,"score_spread":0.193443383262123,"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."}}