{"id":"W1992210486","doi":"10.1256/qj.05.86","title":"Cloud‐resolving simulations of intense tropical <i>Hector</i> thunderstorms: Implications for aerosol–cloud interactions","year":2006,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Environment Research Council","keywords":"Thunderstorm; Atmospheric sciences; Aerosol; Environmental science; Cloud physics; Storm; Convection; Precipitation; Liquid water content; Glacial period; Meteorology; Climatology; Cloud computing; Geology; Physics; Geomorphology","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":[0.0004647425,0.0002037662,0.0004533266,0.0000398442,0.0005363318,0.00006146273,0.0005520487,0.0001646444,0.0005829618],"category_scores_gemma":[0.0002392215,0.0001159868,0.0009554815,0.0002863174,0.0003253188,0.0001666671,0.00001866822,0.000453907,0.000004477969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003185817,"about_ca_system_score_gemma":0.00005626137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001433808,"about_ca_topic_score_gemma":0.0003371046,"domain_scores_codex":[0.9978727,0.000275803,0.000970374,0.0002274112,0.0002807282,0.0003730326],"domain_scores_gemma":[0.9962716,0.002285669,0.000688104,0.0002766102,0.0003335558,0.0001444573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008935364,0.0007376089,0.5942208,0.0000591776,0.0005703956,0.000002361868,0.001282925,0.3645063,0.00416941,0.008490434,0.01680986,0.008257201],"study_design_scores_gemma":[0.00156248,0.003403917,0.8439142,0.00003294544,0.0003457003,0.00002630923,0.0006514499,0.06035109,0.0001378387,0.08644561,0.002775329,0.0003531182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695489,0.0003684451,0.02566552,0.002511567,0.0009660323,0.000335587,0.0001841956,0.00002576713,0.000393953],"genre_scores_gemma":[0.9950132,0.000003851959,0.003657693,0.0004162903,0.0007621183,0.000002926012,0.00001554655,0.000005961776,0.0001224623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3041552,"threshold_uncertainty_score":0.6383023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592658640500654,"score_gpt":0.2472650907621739,"score_spread":0.2213385043571673,"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."}}