{"id":"W1985742539","doi":"10.1016/j.jaerosci.2008.11.006","title":"An extended dry deposition model for aerosols onto broadleaf canopies","year":2008,"lang":"en","type":"article","venue":"Journal of Aerosol Science","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Interception; Aerosol; Deposition (geology); Canopy; Atmospheric sciences; Environmental science; Settling; Turbulence; Scale (ratio); Meteorology; Hydrology (agriculture); Physics; Ecology; Environmental engineering; Geology; Geomorphology; Biology","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":[0.0003445288,0.0008700818,0.001072934,0.0004162413,0.0009091612,0.001216125,0.002067438,0.001601729,0.002403982],"category_scores_gemma":[0.0009623276,0.0007011065,0.0009798766,0.0006626333,0.0004949095,0.001132363,0.001027187,0.0009325414,0.0003664978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898938,"about_ca_system_score_gemma":0.002071095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1561429,"about_ca_topic_score_gemma":0.08186501,"domain_scores_codex":[0.9998595,0.00002358321,0.000009129291,0.0000447874,0.0000249346,0.0000380496],"domain_scores_gemma":[0.9997361,0.00008026839,0.00002490771,0.00002550164,0.00007339995,0.00005972737],"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":[0.00002966235,0.00002970727,0.001752422,0.0000202918,0.00004605038,0.00009297988,0.00002281603,0.9933053,0.001156649,0.00171251,0.0003452771,0.001486249],"study_design_scores_gemma":[0.00004498569,0.00001256956,0.001258179,0.00000346986,0.00001840395,0.00001056099,0.00001191105,0.9972892,0.0001477007,0.000703286,0.0004899033,0.000009806282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914256,0.001190374,0.05608089,0.0009516956,0.0003264722,0.0001835426,0.004049209,0.0008082901,0.02215357],"genre_scores_gemma":[0.9801297,0.0004837766,0.007760743,0.0001584321,0.0001073472,0.0001053232,0.0009834891,0.0001512835,0.01011978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561429,"threshold_uncertainty_score":0.3104681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171170225034492,"score_gpt":0.2565585252172622,"score_spread":0.2348468229669173,"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."}}