{"id":"W1087651761","doi":"10.1016/j.agrformet.2015.07.008","title":"Variations of leaf inclination angle distribution with height over the growing season and light exposure for eight broadleaf tree species","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Tartu Ülikool; Université de Montréal; Eesti Teadusfondi","keywords":"Inclination angle; Deciduous; Canopy; Temperate deciduous forest; Vegetation (pathology); Biometeorology; Tree (set theory); Atmospheric sciences; Environmental science; Mathematics; Biology; Geology; Botany; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001625351,0.0001307331,0.0001484091,0.0007244819,0.0003501212,0.000268273,0.0001486647,0.0001682586,0.000965593],"category_scores_gemma":[0.0002590325,0.0001213409,0.0001752045,0.0005070137,0.0001763257,0.0002198616,0.0001823882,0.0001522226,0.0001857177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513339,"about_ca_system_score_gemma":0.0001059365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005211486,"about_ca_topic_score_gemma":0.01755209,"domain_scores_codex":[0.9999429,0.00001081194,0.000004368273,0.00002143752,0.000009044811,0.00001143559],"domain_scores_gemma":[0.9996598,0.00013139,0.00007022934,0.00001946642,0.00005122803,0.00006796599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004135285,0.00006825905,0.9344378,0.00002836812,0.00004973535,0.00008813637,0.0004595324,0.00052355,0.05667233,0.00004672239,0.00009327869,0.0071188],"study_design_scores_gemma":[0.00000109866,0.00002605336,0.9991305,4.824314e-7,0.000006245112,0.00004180108,0.0001017591,0.0001835948,0.0004353902,0.000005525123,0.00006578818,0.000001816243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996061,0.0000194092,0.00006029473,0.000001732892,5.115883e-7,0.000001123966,0.0001521118,0.000003285521,0.0001556682],"genre_scores_gemma":[0.9992756,0.00001285483,0.0001375115,0.000003687236,7.859215e-7,0.000002667961,0.0004446064,0.000002398232,0.0001198189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005211486,"threshold_uncertainty_score":0.01036227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009102554811897394,"score_gpt":0.1930401293008877,"score_spread":0.1839375744889903,"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."}}