{"id":"W2793701465","doi":"10.1175/mwr-d-17-0267.1","title":"Synoptic Control over Orographic Precipitation Distributions during the Olympics Mountains Experiment (OLYMPEX)","year":2018,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; McGill University; Compute Canada; University of Washington","keywords":"Orography; Orographic lift; Precipitation; Precipitation types; Environmental science; Climatology; Atmospheric sciences; Convection; Geology; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003800418,0.0001641926,0.0002422344,0.00002953142,0.0005019553,0.00006055584,0.00023728,0.00004665317,0.004709736],"category_scores_gemma":[0.0000921007,0.00009416107,0.000135473,0.0003163576,0.0001743213,0.0001394326,0.00001135486,0.00009385963,0.0003181545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444369,"about_ca_system_score_gemma":0.00001873485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001458399,"about_ca_topic_score_gemma":0.0002496757,"domain_scores_codex":[0.9986798,0.0001947898,0.0003319561,0.0002514682,0.0002430188,0.0002989323],"domain_scores_gemma":[0.9991837,0.0001775656,0.0001094706,0.0003613329,0.00006136803,0.0001065926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003028753,0.0006333196,0.8655878,0.001382988,0.0008468716,0.00003521697,0.002696351,0.006678511,0.001064996,0.01220413,0.00406547,0.1045015],"study_design_scores_gemma":[0.000670768,0.0003210178,0.9148269,0.0003383023,0.0001941336,0.000003855755,0.00005788898,0.006473799,0.00003146533,0.001575938,0.07517875,0.0003272361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.847683,0.1389431,0.000569627,0.001524516,0.0002829572,0.001398023,0.0002579489,0.0001039531,0.009236831],"genre_scores_gemma":[0.9956503,0.002750596,0.00008035106,0.001008501,0.0001649655,0.00003511038,0.00008268227,0.000004645395,0.0002228436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479673,"threshold_uncertainty_score":0.9962001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562468574773035,"score_gpt":0.2494875053373119,"score_spread":0.2338628195895815,"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."}}