{"id":"W2216129615","doi":"10.1175/mwr-d-15-0238.1","title":"The Mississippi Valley Convection Minimum on Summer Afternoons: Observations and Numerical Simulations","year":2015,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Orography; Weather Research and Forecasting Model; Convection; Terrain; Geology; Meteorology; Climatology; Numerical weather prediction; Atmospheric sciences; Geography; Precipitation; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.0005049955,0.0001349339,0.0002047723,0.00002289671,0.0003267713,0.00006646746,0.0001326743,0.00004534543,0.0006385243],"category_scores_gemma":[0.0004918548,0.00007654131,0.00006191264,0.0002164459,0.00006854497,0.0001149057,0.00001015679,0.0001141674,0.0001569138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008643403,"about_ca_system_score_gemma":0.00003666455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575065,"about_ca_topic_score_gemma":0.0002035239,"domain_scores_codex":[0.99878,0.0002363129,0.0002874247,0.0002221086,0.0002764158,0.0001977571],"domain_scores_gemma":[0.998801,0.0005709908,0.00008065622,0.0002504302,0.00008852265,0.0002084001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002234431,0.000293214,0.626105,0.0003427956,0.0002340031,0.0000176249,0.0009645173,0.05432943,0.00002088278,0.003988661,0.05340929,0.2600711],"study_design_scores_gemma":[0.0002835398,0.0002389806,0.1879823,0.0001846394,0.00007353484,0.000001697717,0.00004248262,0.04166311,9.668749e-7,0.004247776,0.765084,0.000197013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2976686,0.5883501,0.00123543,0.03927294,0.001203949,0.003275232,0.0004788805,0.000304807,0.06821011],"genre_scores_gemma":[0.9907386,0.003807381,0.0003330188,0.003644421,0.0000981593,0.0000135011,0.00008570281,0.000006095646,0.001273146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7116746,"threshold_uncertainty_score":0.6991393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084152251766876,"score_gpt":0.2828439512970265,"score_spread":0.1744287261203389,"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."}}