{"id":"W4377022391","doi":"10.5194/egusphere-2023-589-rc2","title":"Comment on egusphere-2023-589","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emulation; Environmental science; Climatology; Replicate; Meteorology; Climate model; Water content; Climate change; Computer science; Statistics; Mathematics; Geography; Geology","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":[0.002454349,0.0008783705,0.0008220836,0.001062652,0.002326244,0.00413569,0.002156062,0.02109706,0.1997912],"category_scores_gemma":[0.01250403,0.0004005259,0.001498439,0.001393485,0.001256269,0.003086605,0.002046925,0.01143482,0.1274202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002950213,"about_ca_system_score_gemma":0.003768286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03300578,"about_ca_topic_score_gemma":0.03464625,"domain_scores_codex":[0.9982886,0.0001404923,0.0001365621,0.0001900537,0.0008846488,0.0003596195],"domain_scores_gemma":[0.9963261,0.0009096796,0.0002015315,0.0003015538,0.001759436,0.0005015217],"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":[0.0000280878,0.000007711323,0.00006880471,0.00003302992,0.000001629644,0.00005354307,0.000008331608,0.00001288183,0.00005728254,0.0009188465,0.9965591,0.002250813],"study_design_scores_gemma":[0.00001693823,0.000008940284,0.000431567,0.00005973456,0.00000218552,0.00001542646,0.00002682444,0.00003344867,0.00009459528,0.0005657505,0.9987349,0.000009735101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008861044,0.001626634,0.0009989712,0.4847844,0.2615732,0.0005255605,0.01820466,0.003006824,0.2283938],"genre_scores_gemma":[0.004689359,0.0009472268,0.0005998033,0.6314235,0.03431859,0.0004413382,0.004086593,0.0009573944,0.3225362],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1997912,"threshold_uncertainty_score":0.6683681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06207722397342147,"score_gpt":0.3082196643513987,"score_spread":0.2461424403779772,"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."}}