{"id":"W2020616811","doi":"10.1029/2003gl019060","title":"Can aerosols spin down the water cycle in a warmer and moister world?","year":2004,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Atmospheric sciences; Longwave; Radiative forcing; Aerosol; Climatology; Water cycle; Greenhouse gas; Climate model; Sensible heat; Atmosphere (unit); Forcing (mathematics); Liquid water path; Precipitation; Radiative transfer; Climate change; Meteorology; Physics; Geology","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":[0.000424011,0.0001836618,0.0003111695,0.0003209435,0.0005852152,0.001610963,0.0002265836,0.0009649359,0.002060198],"category_scores_gemma":[0.001892988,0.000158818,0.0002587013,0.0004479965,0.001459256,0.003657903,0.0007280178,0.0006517253,0.0003125824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005311443,"about_ca_system_score_gemma":0.0003639735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007828834,"about_ca_topic_score_gemma":0.01397082,"domain_scores_codex":[0.9998688,0.00002659225,0.00000621037,0.00003399241,0.00001744005,0.00004703052],"domain_scores_gemma":[0.9996284,0.00006302917,0.0001200417,0.00003777106,0.00004074883,0.000109954],"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":[0.001076498,0.000169708,0.7473041,0.0004911202,0.0008690486,0.001513193,0.004171652,0.003057473,0.01579672,0.05049317,0.01908064,0.1559767],"study_design_scores_gemma":[0.0001223481,0.0001821665,0.8620702,0.0001541715,0.0002731487,0.0002915364,0.006182777,0.002511241,0.002248665,0.086271,0.03960887,0.00008378609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269028,0.01300867,0.000800843,0.04712395,0.00115224,0.00001107884,0.0004510658,0.00005206294,0.01049723],"genre_scores_gemma":[0.9938242,0.002455953,0.0001281494,0.002558987,0.0004152113,0.000002530165,0.00004801916,0.000009210336,0.0005576884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007828834,"threshold_uncertainty_score":0.01556653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596208595764556,"score_gpt":0.277518592987284,"score_spread":0.2615565070296385,"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."}}