{"id":"W1976911681","doi":"10.1016/s0304-3800(02)00122-9","title":"New calculation methods of diurnal distribution of solar radiation and its interception by canopy over complex terrain","year":2002,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Canadian Forest Service; University of British Columbia","keywords":"Interception; Canopy; Solar zenith angle; Environmental science; Leaf area index; Photosynthetically active radiation; Radiation; Diurnal temperature variation; Projection (relational algebra); Terrain; Zenith; Atmospheric sciences; Remote sensing; Mathematics; Ecology; Geography; Physics; Photosynthesis; Optics; Algorithm; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001946958,0.0000647725,0.0001141465,0.00001537118,0.00004390329,0.000007454817,0.00004745835,0.00008235623,0.0007014372],"category_scores_gemma":[0.00001436519,0.0000553289,0.00003046594,0.00007744125,0.00003066726,0.0001249864,0.0000349845,0.00007056897,0.000004329055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008484306,"about_ca_system_score_gemma":0.000001402112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141906,"about_ca_topic_score_gemma":0.00001102436,"domain_scores_codex":[0.999361,0.00008045368,0.0002274218,0.000129502,0.0001047843,0.00009681869],"domain_scores_gemma":[0.9997411,0.00004447604,0.0001144284,0.00004614013,0.000005602787,0.00004830284],"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":[0.00001586712,0.00009045541,0.01570373,0.000007213379,0.00001040537,3.829421e-7,0.0003530778,0.8832828,0.0761069,0.000435347,0.0003057674,0.02368804],"study_design_scores_gemma":[0.0001583191,0.00005407187,0.0378243,0.00000455518,0.00001095777,0.00000162467,0.000003466185,0.9602621,0.0006889466,0.0006632473,0.0002697565,0.00005867346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5340706,0.00002496912,0.4656298,0.00002652265,0.0000137,0.00005396092,0.00001845669,0.000004955235,0.0001570699],"genre_scores_gemma":[0.9906816,0.00008208562,0.009020782,0.00001284704,0.000007325701,0.000001680634,0.00009592177,0.000002821708,0.00009493808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.456611,"threshold_uncertainty_score":0.7680245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249222394036777,"score_gpt":0.2653170208776366,"score_spread":0.2328247969372688,"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."}}