{"id":"W4416397134","doi":"10.1142/s2345737625400019","title":"Extreme Weather Warnings: Perspectives on the Role of Broadcast Meteorologists","year":2025,"lang":"en","type":"article","venue":"Journal of Extreme Events","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Tornado; Extreme weather; Damages; Warning system; Flood myth; Flooding (psychology); Severe weather; News media","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":[0.02155576,0.001172335,0.001266422,0.004347365,0.0076763,0.0182815,0.003487018,0.0197731,0.01741287],"category_scores_gemma":[0.03230987,0.0006201542,0.0009356546,0.004382863,0.0156775,0.03245529,0.008208245,0.01791474,0.003903557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009812466,"about_ca_system_score_gemma":0.01273619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04016072,"about_ca_topic_score_gemma":0.03896391,"domain_scores_codex":[0.9890066,0.006549558,0.0004622611,0.0007752831,0.001571035,0.001635233],"domain_scores_gemma":[0.9513014,0.03127083,0.002120125,0.001297067,0.007177601,0.006833029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000174737,0.0001183961,0.001839721,0.001062809,0.00002100592,0.0003827382,0.02034123,0.000308433,0.0002430418,0.1883893,0.7075788,0.07953975],"study_design_scores_gemma":[0.00003046617,0.0000545875,0.001051643,0.001394356,0.00001019816,0.0001364351,0.02112231,0.0001717812,0.00004821867,0.02662354,0.9493142,0.00004238458],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008985488,0.1090308,0.0006696286,0.8452457,0.01661428,0.00001346518,0.0001349112,0.00004202958,0.02735058],"genre_scores_gemma":[0.09946507,0.3667108,0.003754032,0.3884766,0.108106,0.0001699803,0.0003253474,0.0002967284,0.03269557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04016072,"threshold_uncertainty_score":0.1139991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802925981840822,"score_gpt":0.2484232058186794,"score_spread":0.2103939460002712,"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."}}