{"id":"W4394793265","doi":"10.5194/egusphere-2023-3014-rc1","title":"Comment on egusphere-2023-3014","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Cardiology; Medicine","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":[0.002279402,0.001031399,0.001011024,0.001277844,0.003269365,0.004279342,0.002486894,0.02371764,0.2972995],"category_scores_gemma":[0.01262962,0.0005269104,0.00143137,0.001461773,0.001565807,0.003075414,0.002060105,0.01168006,0.2388987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002931061,"about_ca_system_score_gemma":0.003080138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03111672,"about_ca_topic_score_gemma":0.03628683,"domain_scores_codex":[0.9981852,0.0001474451,0.000146161,0.0001846377,0.001010671,0.0003258397],"domain_scores_gemma":[0.9952864,0.001068811,0.000220967,0.0003888417,0.002435758,0.0005993661],"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":[0.00002057181,0.000009418803,0.00004803216,0.00001977227,0.000001228799,0.0000447735,0.000007220448,0.000008359252,0.00005354911,0.0003665413,0.9971431,0.002277438],"study_design_scores_gemma":[0.00002214533,0.00001326553,0.0003688571,0.00006403602,0.00000208683,0.00001498552,0.00003276831,0.00003830546,0.00009760584,0.0004354301,0.9989003,0.00001019241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008370095,0.00110375,0.001067158,0.4134676,0.2629724,0.0008208218,0.01123797,0.005333382,0.30316],"genre_scores_gemma":[0.003270962,0.0006490664,0.0005888385,0.4741711,0.03922505,0.0004920448,0.002854784,0.001290454,0.4774576],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2972995,"threshold_uncertainty_score":0.9945658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332015933922519,"score_gpt":0.2473926807870169,"score_spread":0.2340725214477917,"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."}}