{"id":"W4281860118","doi":"10.5194/amt-2022-135-rc1","title":"Comment on amt-2022-135","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":"Earth Sciences Division; Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Pixel; Zenith; Satellite; Remote sensing; Solar zenith angle; Environmental science; Noise (video); Ground truth; Data set; Computer science; Meteorology; Artificial intelligence; Image (mathematics); Geography; Physics","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":[0.002839982,0.001044928,0.001078258,0.0009403088,0.002471137,0.004089639,0.002506552,0.03230344,0.0533707],"category_scores_gemma":[0.01336033,0.0004648097,0.002177701,0.001206427,0.001953757,0.002349573,0.00171481,0.02151377,0.04874592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004034752,"about_ca_system_score_gemma":0.00483027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02698263,"about_ca_topic_score_gemma":0.02751692,"domain_scores_codex":[0.9977115,0.0002271191,0.0002373763,0.0003117481,0.001090813,0.0004214747],"domain_scores_gemma":[0.9970222,0.0009468376,0.000245494,0.0002341323,0.001096389,0.0004548701],"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":[0.00004992653,0.00001892576,0.0002088587,0.000056414,0.000005097335,0.0002255441,0.00002859484,0.00002714901,0.0001686598,0.002030398,0.9935927,0.003587889],"study_design_scores_gemma":[0.00001841095,0.00001666002,0.0009538086,0.00009174563,0.000005991091,0.0000608385,0.00004066334,0.00006817066,0.0001162624,0.0009149169,0.997694,0.00001842444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001100197,0.003079484,0.0006414881,0.6365638,0.2557712,0.0002900283,0.005843588,0.001276552,0.09543356],"genre_scores_gemma":[0.004038722,0.001027884,0.000505413,0.8426983,0.04710467,0.0003348868,0.001000866,0.000220104,0.1030691],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0533707,"threshold_uncertainty_score":0.1785428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340996263567175,"score_gpt":0.2408617808384136,"score_spread":0.2274518182027418,"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."}}