{"id":"W2089167158","doi":"10.2172/929188","title":"A comparison of model short-range forecasts and the ARM Microbase data","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); Range (aeronautics); Product (mathematics); Metric (unit); Climatology; Environmental science; Meteorology; Geography; Statistics; Mathematics; Geodesy; Geology; Economics; Engineering; Operations management","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":[0.001511532,0.0003571849,0.0004068573,0.0004935208,0.0002630188,0.001168736,0.0006627362,0.0005499583,0.002615384],"category_scores_gemma":[0.004145876,0.0002567263,0.0004030183,0.000950192,0.0001420327,0.001374762,0.0003711435,0.0005966508,0.0007400637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238354,"about_ca_system_score_gemma":0.0007859572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07099861,"about_ca_topic_score_gemma":0.05215146,"domain_scores_codex":[0.9992898,0.0001985904,0.00004802121,0.0001682041,0.0002342382,0.0000611896],"domain_scores_gemma":[0.9983672,0.0005025333,0.000202272,0.0002344777,0.0006011595,0.00009222385],"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":[0.001631221,0.0002887456,0.1027632,0.0001601725,0.0002538101,0.0001564059,0.000155643,0.8003539,0.004946801,0.003541873,0.02839269,0.05735562],"study_design_scores_gemma":[0.0002454046,0.0002635618,0.08063236,0.00003685064,0.00006151994,0.00004322165,0.0002120396,0.900566,0.005025123,0.001475156,0.01135199,0.0000867471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322747,0.0003197767,0.009126176,0.00125871,0.0001951037,0.00006631768,0.0274975,0.001765917,0.02749572],"genre_scores_gemma":[0.9773564,0.0001030628,0.004259177,0.0000854946,0.0000247361,0.00003632654,0.01591701,0.0001571043,0.002060669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07099861,"threshold_uncertainty_score":0.1411707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423258278275299,"score_gpt":0.3093001649957294,"score_spread":0.2350675822129764,"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."}}