{"id":"W2964262683","doi":"10.1007/s00382-019-04905-y","title":"Surface pressure and elevation correction from observation and multiple reanalyses over the Tibetan Plateau","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Elevation (ballistics); Climatology; Plateau (mathematics); Surface pressure; Geology; Environmental science; Surface (topology); Mathematics; Oceanography; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002578627,0.0001011446,0.0001089765,0.000009036888,0.0001437344,0.00006260625,0.00007033615,0.00008105121,0.0002069387],"category_scores_gemma":[0.00004290335,0.00007817296,0.0000195508,0.00009126432,0.00008002217,0.0003163793,0.0001321063,0.0000991808,0.00003177031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000609985,"about_ca_system_score_gemma":0.00000268715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114414,"about_ca_topic_score_gemma":0.001798155,"domain_scores_codex":[0.9992422,0.0000485899,0.0001544589,0.0002753859,0.0001337885,0.0001456119],"domain_scores_gemma":[0.9994052,0.0002372627,0.00008948869,0.0002266861,0.000008403386,0.00003293523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002903786,0.00002089346,0.9574424,0.00001167125,0.00001356956,1.404321e-7,0.0003606165,0.0356289,0.005384569,0.0001691737,0.00005717758,0.00088185],"study_design_scores_gemma":[0.0001319889,0.00001234717,0.4379471,0.00000648175,0.00003195747,6.246994e-7,0.0001121443,0.5611076,0.00003571422,0.0003741374,0.0001812408,0.0000585954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982601,0.00003420192,0.0004170462,0.0001800695,0.0002126185,0.0002542208,0.00009733161,0.00003507151,0.0005092875],"genre_scores_gemma":[0.9989972,0.000197942,0.0002738043,0.0000891931,0.00001069851,0.000002062015,0.0001843673,0.00001011058,0.0002345936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254787,"threshold_uncertainty_score":0.3196376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424166580733287,"score_gpt":0.2273357349572789,"score_spread":0.2130940691499461,"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."}}