{"id":"W4408090212","doi":"10.3390/atmos16030298","title":"Significance of Cloud Microphysics and Cumulus Parameterization Schemes in Simulating an Extreme Flood-Producing Precipitation Event in the Central Himalaya","year":2025,"lang":"en","type":"article","venue":"Atmosphere","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Flood myth; Environmental science; Climatology; Meteorology; Atmospheric sciences; Event (particle physics); Cloud computing; Geology; Geography; Physics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007842474,0.0006473014,0.0004390723,0.0003644598,0.0005705245,0.0009530944,0.0006472042,0.0008300226,0.0006486712],"category_scores_gemma":[0.001909812,0.00020009,0.0005113352,0.0003495644,0.0005760688,0.0004961296,0.0003781154,0.0006634729,0.00008132925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933216,"about_ca_system_score_gemma":0.001081636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05118532,"about_ca_topic_score_gemma":0.02167911,"domain_scores_codex":[0.9998106,0.00007015645,0.00001430977,0.00002290673,0.00002843281,0.00005348003],"domain_scores_gemma":[0.9993754,0.0003137291,0.00007495483,0.00006049955,0.00009202681,0.00008352385],"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":[0.0002093946,0.0002172131,0.0354652,0.0000452804,0.00008242655,0.0001806679,0.00008977386,0.9550376,0.003578789,0.0007176144,0.000448224,0.003927862],"study_design_scores_gemma":[0.00005532529,0.00007531835,0.008278818,0.00001161507,0.000030062,0.00001572002,0.00008369332,0.9898061,0.001269471,0.0001003277,0.0002586905,0.00001479536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965173,0.0002046983,0.001094715,0.0001888718,0.00004304916,0.00001942144,0.0001687379,0.00008534586,0.00167784],"genre_scores_gemma":[0.9987971,0.00005041221,0.0008247323,0.00003529523,0.000009747951,0.000006669376,0.0001084911,0.00001483393,0.0001528182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05118532,"threshold_uncertainty_score":0.1017748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479377466127345,"score_gpt":0.2513953438416519,"score_spread":0.2266015691803785,"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."}}