{"id":"W4409551987","doi":"10.22541/essoar.174491972.29894269/v1","title":"Analysis of CCCma radiative transfer calculations for low level overcast liquid clouds over ARM SGP and ENA sites","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Overcast; Radiative transfer; Environmental science; Atmospheric radiative transfer codes; Atmospheric sciences; Physics; Meteorology; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007782021,0.0005458245,0.0003304784,0.0004987415,0.0007300061,0.000678162,0.001073381,0.0003186168,0.001285047],"category_scores_gemma":[0.002076522,0.000217475,0.0004359307,0.000735137,0.0002181982,0.0004328703,0.0002688896,0.0004393061,0.0002544651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004008644,"about_ca_system_score_gemma":0.003428559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7130542,"about_ca_topic_score_gemma":0.6720146,"domain_scores_codex":[0.9996339,0.00004271792,0.00001572032,0.00006213014,0.0001917865,0.00005380209],"domain_scores_gemma":[0.9989754,0.0003198752,0.00006435995,0.00007898957,0.000509241,0.00005220364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005350397,0.0002784204,0.1547882,0.0001679294,0.0001752706,0.0001783397,0.0002677939,0.744509,0.01862368,0.001252403,0.004301747,0.07492217],"study_design_scores_gemma":[0.00008798111,0.00005154715,0.06071076,0.00001111779,0.00003197109,0.0000162341,0.00008621319,0.9315622,0.005722051,0.00009784647,0.00159098,0.00003110727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855713,0.0001125262,0.005863582,0.0001092329,0.00001919116,0.00005555974,0.002302957,0.001435844,0.004529925],"genre_scores_gemma":[0.991713,0.00004047454,0.00540982,0.00002121656,0.000004661681,0.00003604841,0.001987057,0.00009723551,0.0006905725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7130542,"threshold_uncertainty_score":0.5772712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406482082604,"score_gpt":0.2858323113032539,"score_spread":0.2517674904772139,"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."}}