{"id":"W2134454036","doi":"10.1175/bams-87-12-1679","title":"The National Severe Storms Laboratory Historical Weather Data Archives Data Management and Web Access System","year":2006,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Storm; Meteorology; Severe weather; National weather service; Environmental science; History; Climatology; Geography; Geology","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":[0.004391171,0.0008062061,0.001107758,0.006142512,0.001277081,0.003819664,0.002422366,0.0008166459,0.05424042],"category_scores_gemma":[0.01476569,0.0006671536,0.0004252144,0.01343847,0.0004000934,0.003971178,0.00249631,0.001661185,0.05761729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507879,"about_ca_system_score_gemma":0.006324294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02999651,"about_ca_topic_score_gemma":0.02057375,"domain_scores_codex":[0.9973699,0.0003798502,0.0005938612,0.0003258208,0.001151195,0.0001793477],"domain_scores_gemma":[0.987613,0.001342534,0.001076717,0.003745047,0.00484628,0.001376514],"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":[0.0001381067,0.00007742362,0.004180242,0.0001502351,0.00002200859,0.00004665287,0.0001261782,0.0007812651,0.0006169239,0.003471698,0.9513521,0.039037],"study_design_scores_gemma":[0.0001559608,0.00001978499,0.01021776,0.00009074383,0.00001766742,0.00004870196,0.0001465235,0.004035034,0.001251679,0.003307714,0.9806399,0.00006865995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002850956,0.0001458222,0.01284944,0.0006222981,0.0002322728,0.0007750014,0.9148325,0.02918135,0.03851033],"genre_scores_gemma":[0.007115038,0.000214354,0.02015483,0.0002368954,0.00009843621,0.001102131,0.9589058,0.002031146,0.01014137],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05424042,"threshold_uncertainty_score":0.1814523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03980985946780331,"score_gpt":0.2495426764453851,"score_spread":0.2097328169775818,"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."}}