{"id":"W4225252294","doi":"10.5194/acp-22-2365-2022","title":"Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: dominant role of secondary ice production","year":2022,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Environment and Climate Change Canada","funders":"National Science Foundation","keywords":"Ice crystals; Weather Research and Forecasting Model; Atmospheric sciences; Environmental science; Ice cloud; Aerosol; Convection; Ice nucleus; Sea ice growth processes; Meteorology; Climatology; Geology; Sea ice; Cryosphere; Radiative transfer; Physics; Sea ice thickness","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":[0.00009066377,0.0001280027,0.0002042012,4.537086e-7,0.0003067624,0.00001826466,0.0001413215,0.00003516339,0.000811431],"category_scores_gemma":[0.00004749648,0.00008248823,0.00003616498,0.0001970929,0.00009006243,0.0001014259,0.00004044807,0.0003052005,0.000003049283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174118,"about_ca_system_score_gemma":0.00003544115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005889624,"about_ca_topic_score_gemma":0.00003056042,"domain_scores_codex":[0.9990306,0.000073265,0.0002043645,0.0003212314,0.0001586879,0.0002117765],"domain_scores_gemma":[0.9995383,0.0001357587,0.00007028862,0.0001639358,0.00004873654,0.00004297341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001567189,0.0005641701,0.2950288,0.0008896811,0.0001330809,0.00001953737,0.01058774,0.07522625,0.5729904,0.00005010154,0.00005474273,0.04288822],"study_design_scores_gemma":[0.001134045,0.0003267748,0.3208507,0.00003310765,0.00005894785,0.00002663812,0.003432272,0.009139209,0.6581933,0.005641208,0.0007277213,0.0004360574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988746,0.0002244315,0.00002431524,0.0001986377,0.00006840841,0.0001975948,0.000021483,0.0000111548,0.000379383],"genre_scores_gemma":[0.9991618,0.00001354984,0.0001498982,0.00006861379,0.0001993259,0.00001123112,0.00003584824,0.000003662401,0.0003560993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08520287,"threshold_uncertainty_score":0.88846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741712034479816,"score_gpt":0.1821915472006492,"score_spread":0.1764498351661694,"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."}}