{"id":"W4313812340","doi":"10.5194/egusphere-2022-1217-rc1","title":"Comment on egusphere-2022-1217","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":"","funders":"","keywords":"Lidar; Remote sensing; Radar; Snow; Environmental science; Aerosol; Meteorology; Precipitation; Atmosphere (unit); Atmospheric sciences; Geology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035777,0.001075511,0.0009666387,0.001197107,0.002951231,0.004278168,0.002283428,0.02361796,0.2854215],"category_scores_gemma":[0.009198947,0.000475439,0.001495821,0.001354128,0.00145952,0.002701968,0.002070094,0.01160425,0.2306597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003227727,"about_ca_system_score_gemma":0.002972457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519752,"about_ca_topic_score_gemma":0.03132704,"domain_scores_codex":[0.9984277,0.0001184938,0.0001158247,0.0001826087,0.0008337121,0.0003216791],"domain_scores_gemma":[0.9968504,0.0007174072,0.0001445983,0.000301257,0.001516249,0.0004700635],"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":[0.0000264041,0.00001194919,0.00005706056,0.00003015087,0.000001672193,0.00006714739,0.000008335625,0.000008129225,0.00007458861,0.0006794062,0.9961082,0.00292681],"study_design_scores_gemma":[0.00001700445,0.00001094297,0.0003831304,0.00005465463,0.000001822045,0.00001531563,0.0000263296,0.00002397731,0.00008158199,0.0004106936,0.9989671,0.0000075838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.000752651,0.001443289,0.0006707314,0.3245451,0.3025948,0.0006155081,0.008787178,0.002725329,0.3578654],"genre_scores_gemma":[0.002566402,0.0006684266,0.0003444717,0.3891886,0.0382559,0.0003439681,0.002152495,0.0006515039,0.5658284],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2854215,"threshold_uncertainty_score":0.95483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489231506057127,"score_gpt":0.2785329260212642,"score_spread":0.2536406109606929,"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."}}