{"id":"W7098707542","doi":"","title":"P1.5 McGILL ALGORITHM FOR PRECIPITATION NOWCASTING BY LAGRANGIAN EXTRAPOLATION (MAPLE) APPLIED TO THE SOUTH KOREAN RADAR NETWORK. PART 2: REAL-TIME VERIFICATION FOR THE SUMMER SEASON","year":2015,"lang":"en","type":"article","venue":"","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Extrapolation; Precipitation; Radar; Quantitative precipitation forecast; Numerical weather prediction","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":[0.000545541,0.000394741,0.0002988671,0.0004812601,0.0004176592,0.0006762603,0.001246779,0.0005636947,0.01912414],"category_scores_gemma":[0.002357876,0.0002520805,0.0002843712,0.0004760855,0.000154979,0.0005131975,0.0009429537,0.000768699,0.004186297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004076599,"about_ca_system_score_gemma":0.001948761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02755693,"about_ca_topic_score_gemma":0.04204424,"domain_scores_codex":[0.9998295,0.00003925827,0.00001191159,0.00002783218,0.00006300224,0.00002833703],"domain_scores_gemma":[0.9996799,0.00006699682,0.00001830213,0.00005050761,0.0001607398,0.00002343743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004907064,0.0001236096,0.003035604,0.0001702427,0.00009639769,0.0001872202,0.0001198958,0.1882227,0.01032763,0.01650048,0.05750225,0.7232232],"study_design_scores_gemma":[0.00005358685,0.00002178601,0.0006423012,0.000009469263,0.000005822283,0.00002195401,0.00001284705,0.9859225,0.002995902,0.001692399,0.008611664,0.000009819019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01139349,0.0001710492,0.9771481,0.0001977978,0.0001769562,0.0001700152,0.0008265923,0.003658379,0.006257744],"genre_scores_gemma":[0.1267278,0.0001524347,0.8569231,0.0001589445,0.00005830925,0.0002911294,0.002454136,0.000661113,0.01257306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02755693,"threshold_uncertainty_score":0.06397665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890496638643238,"score_gpt":0.2294538271459889,"score_spread":0.1905488607595565,"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."}}