{"id":"W4317931934","doi":"10.3390/rs15030702","title":"Deep Clouds on Jupiter","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gemini Observatory; National Research Council Canada; Space Telescope Science Institute","keywords":"Cloud base; Haze; Opacity; Environmental science; Radiative transfer; Atmospheric sciences; Jupiter (rocket family); Cloud cover; Physics; Astronomy; Cloud computing; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008434166,0.00007181241,0.00006995326,0.00003872357,0.00009806647,0.00002841358,0.00005281188,0.00001417565,0.00008084672],"category_scores_gemma":[0.000002378913,0.00006375126,0.0000369156,0.0001913222,0.00001885244,0.00003842214,0.00001788641,0.00008757628,0.001495522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004619391,"about_ca_system_score_gemma":0.000009551527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008612023,"about_ca_topic_score_gemma":0.000002069538,"domain_scores_codex":[0.9994413,0.00001907164,0.00007133465,0.0001477033,0.0001072264,0.0002133861],"domain_scores_gemma":[0.9997255,0.00004893343,0.00002325052,0.0001409394,0.00001024106,0.00005109359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006244848,0.000003202324,0.00110667,0.000002107084,0.00001106407,0.00001998143,0.0003054898,0.005598567,0.002434141,0.0003358631,0.001529222,0.9886475],"study_design_scores_gemma":[0.0001353699,0.00002954748,0.008013698,0.00003151831,0.000006381855,0.000003036035,0.0002049256,0.9770116,0.0009048161,0.001625467,0.01186902,0.0001646065],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187102,0.000004071341,0.02929332,0.0002511189,0.0003523683,0.00005129617,0.000003636912,0.00008399977,0.05125001],"genre_scores_gemma":[0.9959332,4.850644e-7,0.002370264,0.0001128976,0.0003482684,1.354094e-9,0.00003596515,0.000006529588,0.001192378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9884828,"threshold_uncertainty_score":0.9992819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367743948899097,"score_gpt":0.2329399297235808,"score_spread":0.2192624902345898,"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."}}