{"id":"W2998924775","doi":"10.5194/gmd-13-4789-2020","title":"One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Directorate for Geosciences","keywords":"Interception; Leaf area index; Radiative transfer; Homogeneity (statistics); Scale (ratio); Empirical modelling; Computer science; Mathematical model; Mathematics; Simulation; Statistics; Ecology; Physics; Machine learning","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":[0.001499616,0.001410614,0.001908272,0.00189014,0.0003272584,0.001682222,0.0030429,0.001224461,0.001070842],"category_scores_gemma":[0.00177142,0.00098845,0.002304645,0.00301364,0.000674961,0.002790789,0.0009000346,0.002056349,0.0008943698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158818,"about_ca_system_score_gemma":0.001520291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009811048,"about_ca_topic_score_gemma":0.004805404,"domain_scores_codex":[0.9996578,0.00006893267,0.00003896829,0.00008036206,0.0001310417,0.00002285908],"domain_scores_gemma":[0.9992094,0.0003865014,0.00005956999,0.00009165885,0.0002236557,0.0000290987],"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":[0.00006645492,0.000145598,0.00252247,0.0062114,0.0005420697,0.000208485,0.0001899717,0.6049072,0.003398834,0.05780729,0.0107777,0.3132226],"study_design_scores_gemma":[0.00003699989,0.000125375,0.001916161,0.001384462,0.0004855756,0.0002429505,0.00008733256,0.8003106,0.002656623,0.02546382,0.1670989,0.0001912444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01305262,0.5956914,0.3773082,0.001372039,0.0009096801,0.0001143592,0.0006396701,0.0008140703,0.01009794],"genre_scores_gemma":[0.1131549,0.7512181,0.1271414,0.0006569323,0.001071331,0.000381207,0.001611135,0.0004009353,0.004364138],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009811048,"threshold_uncertainty_score":0.01950788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098115051540451,"score_gpt":0.2215476021129346,"score_spread":0.1905664515975301,"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."}}