{"id":"W3161452040","doi":"10.5194/gmd-14-6309-2021","title":"FORest Canopy Atmosphere Transfer (FORCAsT) 2.0: model updates and evaluation with observations at a mixed forest site","year":2021,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Massachusetts Amherst; Drexel University; University of Michigan; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Isoprene; Aerosol; Atmosphere (unit); Deposition (geology); Methacrolein; Canopy; Chemistry; Tree canopy; Atmospheric sciences; Environmental science; Meteorology; Environmental chemistry; Organic chemistry; Botany; 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":[0.002019612,0.00146184,0.0009577784,0.0005418169,0.0008475121,0.0009530849,0.002749015,0.001400893,0.002654251],"category_scores_gemma":[0.002053912,0.0006460983,0.001106569,0.0009076016,0.0004518871,0.001413638,0.000471977,0.001335982,0.0007059271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270702,"about_ca_system_score_gemma":0.002040162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1584716,"about_ca_topic_score_gemma":0.1116044,"domain_scores_codex":[0.999642,0.00007912495,0.00002105925,0.00008453531,0.00009965862,0.00007365963],"domain_scores_gemma":[0.9987721,0.0003341177,0.00009349455,0.0001722024,0.0004487944,0.000179382],"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":[0.001772935,0.001376427,0.05234445,0.0002735367,0.0002954784,0.0004518726,0.0002249712,0.8832178,0.007973311,0.000918168,0.0184013,0.03274985],"study_design_scores_gemma":[0.0006477293,0.0001437902,0.01170499,0.00001396055,0.00006469875,0.00002659889,0.00005206257,0.9819567,0.003045663,0.0002035552,0.002092665,0.00004753302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583329,0.000202927,0.006796501,0.0004624085,0.0002482118,0.0003305103,0.02020634,0.007333091,0.006087076],"genre_scores_gemma":[0.9542721,0.0001042661,0.01821089,0.0001473687,0.00004958026,0.0002077933,0.02477252,0.0007150524,0.001520468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1584716,"threshold_uncertainty_score":0.3150983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288306875164577,"score_gpt":0.2059524011209176,"score_spread":0.1730693323692718,"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."}}