{"id":"W2969676102","doi":"10.1175/amsmonographs-d-18-0026.1","title":"A Century of Progress in Severe Convective Storm Research and Forecasting","year":2019,"lang":"en","type":"article","venue":"Meteorological Monographs","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"","keywords":"Thunderstorm; Storm; Meteorology; Observational study; Nowcasting; Convective storm detection; Severe weather; Tornado; Environmental science; Climatology; Computer science; History; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01023575,0.001007628,0.001235314,0.004417374,0.001312178,0.006464145,0.002025646,0.003647808,0.01113276],"category_scores_gemma":[0.02789318,0.0005662091,0.0009724453,0.005070165,0.003055785,0.01145035,0.003440902,0.005858336,0.004630753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935928,"about_ca_system_score_gemma":0.003399359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005203112,"about_ca_topic_score_gemma":0.003470775,"domain_scores_codex":[0.9957052,0.00141113,0.0004726663,0.0006455615,0.001508332,0.0002572525],"domain_scores_gemma":[0.9738468,0.01348126,0.001111824,0.002462216,0.007450303,0.001647591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001787328,0.0002031312,0.003787582,0.001758962,0.00008904979,0.0001372432,0.0007941771,0.006407315,0.001001448,0.05568581,0.2083648,0.7215917],"study_design_scores_gemma":[0.0000243659,0.000112638,0.002580594,0.00305026,0.00003081818,0.0001766496,0.0008566932,0.005730884,0.0004591855,0.04970665,0.9371937,0.00007764696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007206806,0.6267999,0.03897719,0.2486954,0.03090588,0.00009809451,0.001252034,0.0007642869,0.04530032],"genre_scores_gemma":[0.09558646,0.7412685,0.06593019,0.02593704,0.04938441,0.0001438293,0.002002303,0.0004978129,0.0192494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01113276,"threshold_uncertainty_score":0.0541324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408514255264256,"score_gpt":0.2873103588840755,"score_spread":0.2132252163314329,"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."}}