{"id":"W4254158838","doi":"10.5194/gmd-2020-96","title":"Modeling the impacts of diffuse light fraction on photosynthesis in ORCHIDEE (v5453) land surface model","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"European Research Council; Agence Nationale de la Recherche","keywords":"Environmental science; Atmospheric sciences; Eddy covariance; Photosynthesis; Canopy; Diurnal cycle; Aerosol; Flux (metallurgy); Primary production; Meteorology; Ecosystem; Physics; Chemistry; Botany; Biology; Ecology","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":[0.0002777019,0.000566215,0.0006589423,0.0002395347,0.0002787614,0.0006157192,0.001171051,0.0008021203,0.001806907],"category_scores_gemma":[0.0006323104,0.0003042546,0.0006673841,0.0005275842,0.0003039977,0.0006284608,0.000380675,0.0006661891,0.0002999796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142256,"about_ca_system_score_gemma":0.0006593095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06735659,"about_ca_topic_score_gemma":0.0373405,"domain_scores_codex":[0.9998802,0.00002285109,0.000005137174,0.00004683283,0.00002193832,0.00002304288],"domain_scores_gemma":[0.9997942,0.00008428661,0.00001613532,0.00002623595,0.00005259398,0.00002664646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001059853,0.0000675983,0.01009944,0.00003572481,0.00006436989,0.00005101974,0.00003345344,0.9806144,0.00394516,0.0006755838,0.001096037,0.003211262],"study_design_scores_gemma":[0.00007216206,0.0000253865,0.005419817,0.000004133063,0.00001683228,0.000008182436,0.00001171862,0.9922826,0.00113519,0.0002065039,0.0008050798,0.00001238684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9793763,0.0001597139,0.008866365,0.0001661741,0.00003531592,0.0000411537,0.005132115,0.000674348,0.005548432],"genre_scores_gemma":[0.9883271,0.00008487357,0.006325316,0.00005224767,0.000008721958,0.00005208395,0.003784362,0.0001113188,0.00125388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06735659,"threshold_uncertainty_score":0.1339291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954712190727255,"score_gpt":0.2310796340501712,"score_spread":0.2115325121428986,"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."}}