{"id":"W4293282811","doi":"10.5194/essd-2022-174-ac1","title":"Comment on essd-2022-174","year":2022,"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":"Environment and Climate Change Canada","funders":"Government of Canada; Environment and Climate Change Canada; National Aeronautics and Space Administration","keywords":"Arctic; Meteorology; Nowcasting; Span (engineering); The arctic; Environmental science; Weather forecasting; Storm; Climatology; Climate change; Satellite; Computer science; Class (philosophy); Operations research; Geography; Mathematics; Geology; Engineering; Artificial intelligence; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00264309,0.0009085824,0.001128396,0.001068706,0.003968447,0.004927238,0.003069043,0.03690482,0.214972],"category_scores_gemma":[0.01493093,0.0006613548,0.001818687,0.001505122,0.001843122,0.002712745,0.002442918,0.01618797,0.1914788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005236509,"about_ca_system_score_gemma":0.00569366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06019013,"about_ca_topic_score_gemma":0.08200844,"domain_scores_codex":[0.9975661,0.0001749197,0.0002396553,0.0002842956,0.00116814,0.0005668891],"domain_scores_gemma":[0.9954788,0.001093865,0.0001503906,0.0002950116,0.00228978,0.0006922339],"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":[0.00002093864,0.000009234363,0.0000656984,0.00002929314,0.000001315828,0.00006677425,0.00001284691,0.000008551205,0.00004361873,0.0006381844,0.9970594,0.00204409],"study_design_scores_gemma":[0.00001889443,0.000009953465,0.0004718933,0.00006985025,0.000001937675,0.00001673888,0.00005088347,0.00002240386,0.00005031312,0.0004839963,0.9987941,0.000009025514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006918402,0.00143913,0.0004759244,0.476757,0.2040905,0.0005933904,0.00898894,0.001707491,0.3052559],"genre_scores_gemma":[0.001739107,0.0004495823,0.0001977325,0.567739,0.01513388,0.000324182,0.001371589,0.0002775575,0.4127674],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.214972,"threshold_uncertainty_score":0.7191529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315516098287946,"score_gpt":0.2420278856207041,"score_spread":0.2288727246378247,"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."}}