{"id":"W2152142399","doi":"10.1175/jas3660.1","title":"Cloud Phase Structure: Experimental Data Analysis and Parameterization","year":2006,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depth sounding; Liquid water content; Environmental science; Cloud fraction; Relative humidity; Atmospheric sciences; Cloud computing; Meteorology; Physics; Cloud cover; Geology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003996902,0.0001100171,0.0001849914,7.933755e-7,0.0003235123,0.0001107329,0.001018973,0.00003235853,0.0007689354],"category_scores_gemma":[0.00003477321,0.00006176272,0.0000771507,0.001272711,0.0006587238,0.0004832192,0.0004302338,0.00008303009,0.000002530389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004826581,"about_ca_system_score_gemma":0.00002182064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139824,"about_ca_topic_score_gemma":0.00005725029,"domain_scores_codex":[0.9986368,0.00007100587,0.0003222784,0.0002368395,0.000557798,0.0001752385],"domain_scores_gemma":[0.9991288,0.00003881831,0.000439161,0.0003248454,0.000008973027,0.00005938217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009512519,0.0004823323,0.6988559,0.000004175957,0.0002041763,0.00001206112,0.0005108052,0.1693847,0.1118117,0.0001929588,0.008360404,0.0100856],"study_design_scores_gemma":[0.002057913,0.001255037,0.3054176,0.00002601679,0.001014682,0.000270526,0.001565189,0.6539619,0.02296326,0.003265035,0.007530471,0.0006723279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970116,0.0003629508,0.001686675,0.0002865023,0.000334264,0.00005736613,0.000004556282,0.000005090184,0.0002509976],"genre_scores_gemma":[0.9792449,0.00001432674,0.02034347,0.0001566116,0.0001197411,3.645216e-7,7.17658e-7,0.000004326405,0.0001155629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4845772,"threshold_uncertainty_score":0.8419303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479380912640694,"score_gpt":0.273423388176407,"score_spread":0.2586295790500001,"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."}}