{"id":"W2499811092","doi":"10.2172/948099","title":"A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric","year":2006,"lang":"en","type":"report","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Metric (unit); Range (aeronautics); Product (mathematics); Metric system; Statistics; Tonne; Mathematics; Meteorology; Geodesy; Environmental science; Econometrics; Geography; Economics; Operations management; Physics; Engineering; Archaeology; Geometry","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":[0.002734331,0.0004352756,0.0005060876,0.0009901762,0.0003007714,0.001566098,0.0008314205,0.0007371065,0.002657045],"category_scores_gemma":[0.008149739,0.0003126006,0.0004908798,0.001616442,0.0001702754,0.002037666,0.0006012153,0.0006535271,0.001080557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787848,"about_ca_system_score_gemma":0.0009998126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0511411,"about_ca_topic_score_gemma":0.03792865,"domain_scores_codex":[0.998406,0.0004397649,0.0001028298,0.0002713146,0.0006912992,0.00008881157],"domain_scores_gemma":[0.9962126,0.001125765,0.0004116745,0.0005469695,0.001534993,0.0001680209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00252182,0.0003776395,0.1160738,0.0001708085,0.0003670873,0.0001894759,0.0001677417,0.7013633,0.005499469,0.006081966,0.07167005,0.09551681],"study_design_scores_gemma":[0.0002569844,0.000346999,0.08428161,0.0000327808,0.00005826314,0.00004379717,0.0001697451,0.8885916,0.005575325,0.002059807,0.01849231,0.00009071653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810671,0.0004265129,0.01611242,0.002677585,0.0003220812,0.00011549,0.04170518,0.002778711,0.05479489],"genre_scores_gemma":[0.9536694,0.0001402702,0.007988924,0.0001561891,0.00004689115,0.00007581954,0.03331197,0.0003132859,0.004297365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0511411,"threshold_uncertainty_score":0.1016868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05856952317603484,"score_gpt":0.3044753173151187,"score_spread":0.2459057941390838,"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."}}