{"id":"W1985371854","doi":"10.1002/cjg2.906","title":"Flow Regimes for Major Topographic Obstacles of China","year":2006,"lang":"en","type":"article","venue":"Chinese Journal of Geophysics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Geostrophic wind; Mesoscale meteorology; Flow (mathematics); Geology; Upstream (networking); China; Climatology; Meteorology; Mechanics; Geography; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008557583,0.0001646657,0.0001751821,0.0009404114,0.0006074623,0.0004826495,0.0001897818,0.0001672907,0.001368554],"category_scores_gemma":[0.0002864157,0.0001211281,0.0002315506,0.0006939684,0.00036897,0.000229302,0.0003328095,0.0001068283,0.00005374135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009554697,"about_ca_system_score_gemma":0.0006941209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04952499,"about_ca_topic_score_gemma":0.03447594,"domain_scores_codex":[0.9999614,0.000003854369,0.000002027974,0.000007992388,0.000004734651,0.00001997088],"domain_scores_gemma":[0.9999233,0.00001272052,0.00001960444,0.00000623075,0.00001497277,0.00002306841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003632412,0.0001412148,0.434825,0.0001109615,0.0001021558,0.001137778,0.0009781732,0.5076219,0.02212666,0.01212711,0.001582175,0.01888372],"study_design_scores_gemma":[0.00006642669,0.00009658338,0.4752485,0.00002388742,0.00005593646,0.0001638854,0.0007647417,0.5167982,0.001556265,0.00365202,0.001519564,0.00005408916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985637,0.00001965343,0.0002758437,0.00002173657,9.810881e-7,0.000004519793,0.00008682937,0.00001591784,0.001010879],"genre_scores_gemma":[0.9997433,0.00001640274,0.00007032716,0.000001963943,7.188137e-7,0.000002868162,0.00005326377,0.00000101498,0.000110118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04952499,"threshold_uncertainty_score":0.09847343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006982486871834739,"score_gpt":0.2047981106596797,"score_spread":0.197815623787845,"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."}}