{"id":"W4319296045","doi":"10.5194/egusphere-2023-56-rc1","title":"Comment on egusphere-2023-56","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Centre for Earth Observation; University of Leicester; European Space Agency","keywords":"Drizzle; Meteorology; Environmental science; Grid; Radar; Satellite; Doppler radar; Standard deviation; Remote sensing; Precipitation; Geography; Geodesy; Mathematics; Statistics; Aerospace engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003114344,0.0008289795,0.0009778664,0.001823634,0.003025107,0.004197218,0.002492541,0.01840466,0.2356763],"category_scores_gemma":[0.02470901,0.000449903,0.001341556,0.001745648,0.00138016,0.003228979,0.001944747,0.008312433,0.1989984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003103449,"about_ca_system_score_gemma":0.004101405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02946614,"about_ca_topic_score_gemma":0.03489232,"domain_scores_codex":[0.9972432,0.0001752996,0.0002338316,0.0002489977,0.001704528,0.0003941845],"domain_scores_gemma":[0.9868162,0.002382667,0.0004523022,0.001004114,0.007871578,0.001473096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000116895,0.000005285204,0.00003671014,0.00002615334,8.680796e-7,0.00003697026,0.000007328974,0.000004187828,0.00004104759,0.0003444346,0.9975732,0.001912013],"study_design_scores_gemma":[0.00001294727,0.000006786717,0.0004467265,0.00005275421,0.00000155921,0.00001592738,0.00002682297,0.0000193487,0.00007821136,0.0002479973,0.999084,0.000006993788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006010261,0.001440634,0.0006925937,0.4152859,0.3666327,0.0007191304,0.007230243,0.00304089,0.2043568],"genre_scores_gemma":[0.003454654,0.001047944,0.000528586,0.3303612,0.06435759,0.0004606161,0.002689247,0.001217779,0.5958825],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2356763,"threshold_uncertainty_score":0.7884158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655412624620515,"score_gpt":0.2788848150572071,"score_spread":0.252330688811002,"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."}}