{"id":"W7095932978","doi":"","title":"THE EASTERN MISSOURI SLEET STORM OF 29-30 DECEMBER 1990: A DIAGNOSTIC ANALYSIS","year":2015,"lang":"en","type":"article","venue":"","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Snow; Precipitation; Arctic; Winter storm; Freezing rain","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":[0.0001078934,0.0001794821,0.0001396619,0.001698101,0.0005250949,0.0004518233,0.0002323377,0.0003198171,0.001218411],"category_scores_gemma":[0.0004124331,0.0001155947,0.0001683372,0.001237599,0.0002257316,0.0001250952,0.0003357226,0.0001847492,0.0001755044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007446006,"about_ca_system_score_gemma":0.0006254764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07093529,"about_ca_topic_score_gemma":0.1246448,"domain_scores_codex":[0.9999436,0.00000400196,0.000004253224,0.000007336356,0.000016617,0.00002420265],"domain_scores_gemma":[0.9997454,0.00004726837,0.00007390862,0.000009961253,0.00005285034,0.00007060674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005822583,0.0001075121,0.9717763,0.00004618968,0.00002909892,0.002446505,0.0002797206,0.004407725,0.00805065,0.0002710439,0.0005795719,0.0114234],"study_design_scores_gemma":[0.00002031818,0.00006021578,0.9884052,0.000009801404,0.00001718075,0.0003150342,0.0003510711,0.009176566,0.0007914426,0.00005055491,0.0007961103,0.000006412024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972835,0.00005479346,0.0001742259,0.00003211173,0.000001529819,0.00002345621,0.0009714462,0.00001762749,0.001441247],"genre_scores_gemma":[0.9979971,0.00006683583,0.0003315381,0.000006576492,0.000003917744,0.000007046441,0.001166777,0.000002577637,0.0004175764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07093529,"threshold_uncertainty_score":0.1410448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04709419694582013,"score_gpt":0.2443533218919951,"score_spread":0.197259124946175,"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."}}