{"id":"W7065901371","doi":"","title":"Evaluating aerosol/cloud/radiation process parameterizations with\\nsingle-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations: Evaluating aerosol/cloud/radiation process parameterizations withsingle-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations","year":2015,"lang":"en","type":"article","venue":"Qucosa (Saxon State and University Library Dresden)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; European Commission; Canadian Foundation for Climate and Atmospheric Sciences; Battelle; National Aeronautics and Space Administration; Commonwealth Scientific and Industrial Research Organisation; U.S. Department of Energy; National Science Foundation","keywords":"Aerosol; Drizzle; Radiative transfer; Liquid water path; Cloud base; Boundary layer; Ceilometer; Planetary boundary layer; Precipitation; Troposphere","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139848,0.001248725,0.0005282147,0.0004465258,0.0004385488,0.0007393742,0.001019184,0.001177881,0.0007450059],"category_scores_gemma":[0.001614832,0.0004316221,0.00113116,0.0005148054,0.000250856,0.001179753,0.0005218474,0.0009672439,0.0001484459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162852,"about_ca_system_score_gemma":0.001102721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05942841,"about_ca_topic_score_gemma":0.04990865,"domain_scores_codex":[0.9995615,0.0001162997,0.00004007791,0.0001153334,0.00009375316,0.00007305822],"domain_scores_gemma":[0.9988625,0.0004725308,0.0001114313,0.0001845701,0.0002473432,0.0001216512],"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":[0.0007503681,0.001113882,0.07025545,0.00009125662,0.0002105796,0.0001136791,0.0000888058,0.9030209,0.01315116,0.0003039262,0.001008113,0.009891799],"study_design_scores_gemma":[0.00023439,0.0004111826,0.03501173,0.000006451313,0.00004394187,0.00001982533,0.00005229659,0.951726,0.01204208,0.0001019423,0.0003150371,0.0000351818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940901,0.00005662674,0.002287389,0.00007535726,0.00001794051,0.0001098566,0.00180706,0.0002694979,0.001286125],"genre_scores_gemma":[0.9904171,0.0000429115,0.006179486,0.00004385336,0.00001227189,0.0000841427,0.002868114,0.0000352076,0.00031694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05942841,"threshold_uncertainty_score":0.118165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002771786111281,"score_gpt":0.2809642456750795,"score_spread":0.2109365278139667,"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."}}