{"id":"W2533438009","doi":"10.5194/amt-10-2239-2017","title":"Evaluation of radar reflectivity factor simulations of ice crystal populations from in situ observations for the retrieval of condensed water content in tropical mesoscale convective systems","year":2017,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Aviation Administration; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Transport Canada; National Aeronautics and Space Administration; European Commission; Boeing","keywords":"Ice crystals; Radar; Atmospheric sciences; Environmental science; Range (aeronautics); Mesoscale meteorology; Meteorology; Remote sensing; Materials science; Geology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127647,0.0001454146,0.000359187,0.000001622955,0.0001528818,0.00001700546,0.0002956284,0.0001094977,0.0001000428],"category_scores_gemma":[0.0008308329,0.0001028264,0.0000915291,0.0001264579,0.0002599823,0.0001847334,0.00008694994,0.0001037512,3.653432e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526125,"about_ca_system_score_gemma":0.0000625821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087921,"about_ca_topic_score_gemma":0.006139296,"domain_scores_codex":[0.9975601,0.0002712746,0.0006612331,0.0002585434,0.001069257,0.0001796339],"domain_scores_gemma":[0.9984187,0.00019878,0.0004888486,0.000508368,0.0003543718,0.00003089663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001207721,0.0002548317,0.3694793,0.00001586894,0.00004620842,1.472833e-7,0.0007066474,0.003181401,0.6253271,0.0001329657,0.0000284949,0.000706344],"study_design_scores_gemma":[0.0008376364,0.0001434115,0.8255947,0.00006786705,0.0001016831,1.112946e-7,0.000254858,0.02884692,0.1428788,0.001121371,0.00004369153,0.0001089242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577377,0.0001056181,0.03969979,0.0001257793,0.00008832778,0.001960875,0.00004348797,0.00001769899,0.0002207329],"genre_scores_gemma":[0.9902503,0.00000569972,0.00954568,0.000009878787,0.00001453381,0.0001280705,0.000008213576,0.00001277494,0.00002486495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4824483,"threshold_uncertainty_score":0.9957075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2172891887409545,"score_gpt":0.3277887127432715,"score_spread":0.110499524002317,"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."}}