{"id":"W1981968167","doi":"10.2134/agronj2004.0172","title":"Evaluating a Leaf‐Level Canopy Assimilation Model Linked to CERES‐Maize","year":2005,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Leaf area index; Canopy; Environmental science; Agronomy; Photosynthesis; Interception; Transpiration; Stomatal conductance; Atmospheric sciences; Botany; Biology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004833681,0.0001169189,0.0001035233,0.00005660413,0.0002635126,0.00009822731,0.0001860097,0.0000601797,0.0009217824],"category_scores_gemma":[0.00002216535,0.0001033952,0.00005943936,0.0001167996,0.00002379731,0.0004064528,0.00008692263,0.0002428267,0.0004120253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547959,"about_ca_system_score_gemma":0.00004686544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003932104,"about_ca_topic_score_gemma":0.0001858547,"domain_scores_codex":[0.9988903,0.00004373965,0.0002859889,0.0001807056,0.0003218936,0.0002773953],"domain_scores_gemma":[0.9995164,0.00002335676,0.0001120061,0.000134004,0.00001500208,0.0001992253],"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":[0.00001107112,0.00002030238,0.01042685,4.417521e-7,0.000008312641,0.000001755822,0.0004472688,0.9472004,0.002868107,0.00004882251,0.001367297,0.03759934],"study_design_scores_gemma":[0.0003570369,0.00003607923,0.03565049,0.00001396811,0.00001905204,0.00007427362,0.00001863019,0.9587463,0.00007562978,0.0008073693,0.004029907,0.0001713391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152369,0.00001594842,0.07003739,0.00130424,0.00006545735,0.0001287157,0.000009153947,0.0000195164,0.01318264],"genre_scores_gemma":[0.9056437,0.000007971379,0.0907883,0.000388059,0.0001280451,0.000007856798,0.000007464572,0.00001160775,0.003016981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03742801,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639000125776752,"score_gpt":0.2923853928712125,"score_spread":0.235995391613445,"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."}}