{"id":"W2058795591","doi":"10.1256/qj.03.116","title":"Neglect by GCMs of subgrid‐scale horizontal variations in cloud‐droplet effective radius: A diagnostic radiative analysis","year":2004,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"U.S. Department of Energy","keywords":"Radiative transfer; Radiative flux; Atmospheric sciences; RADIUS; Physics; Albedo (alchemy); Environmental science; Computational 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":[0.0008143174,0.0006064398,0.0003980738,0.0004693714,0.0002977932,0.0008619718,0.0009663366,0.0006095143,0.000612902],"category_scores_gemma":[0.002857997,0.0004118398,0.0007612268,0.0004779108,0.0004527365,0.0008517604,0.00047525,0.0005124752,0.00007249555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788107,"about_ca_system_score_gemma":0.000781477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03632971,"about_ca_topic_score_gemma":0.02127807,"domain_scores_codex":[0.99962,0.0001211966,0.00002455025,0.00008517736,0.0001027242,0.00004641155],"domain_scores_gemma":[0.9987942,0.0006328986,0.0001231101,0.0002659432,0.0001559079,0.00002797646],"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":[0.0002748196,0.00006503881,0.04953572,0.00008390041,0.0001920151,0.0001165177,0.00007781773,0.9197416,0.01332291,0.003869607,0.0006023761,0.0121177],"study_design_scores_gemma":[0.00007992989,0.00003877861,0.02403607,0.00001038662,0.00006023691,0.00001943034,0.00002631844,0.9674489,0.006619166,0.00089376,0.0007444734,0.00002264447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817364,0.0001311945,0.01245665,0.0002019578,0.00002351457,0.00003797179,0.001071472,0.0005124802,0.003828388],"genre_scores_gemma":[0.9969829,0.00003596617,0.002438047,0.00002587041,0.00000692667,0.00001421976,0.0002989931,0.00004700918,0.0001501907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632971,"threshold_uncertainty_score":0.07223648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002630335612495682,"score_gpt":0.1961576476317465,"score_spread":0.1935273120192508,"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."}}