{"id":"W2885069252","doi":"10.11159/icepr18.122","title":"Energy Saving and Carbon Reduction by Tree Planting at Multifamily Residential Sites in a City, Korea","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Korea Forest Service; U.S. Forest Service","keywords":"Reduction (mathematics); Carbon fibers; Tree planting; Energy (signal processing); Architectural engineering; Environmental science; Computer science; Engineering; Agroforestry; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187621,0.0001193173,0.0001693179,0.00005471527,0.0002476865,0.00003114259,0.0002991769,0.0001066601,0.000005353102],"category_scores_gemma":[0.0001848764,0.00004978876,0.00002951483,0.000458603,0.0004227098,0.00008932332,0.0004342745,0.0001176623,4.602105e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540916,"about_ca_system_score_gemma":0.0000031832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000575194,"about_ca_topic_score_gemma":0.01402343,"domain_scores_codex":[0.9992431,0.000006719144,0.0001917877,0.0002584706,0.0001137064,0.0001861639],"domain_scores_gemma":[0.999571,0.0001159062,0.0002016993,0.00003505199,0.00006314521,0.00001316891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008394764,0.0000199581,0.4082639,0.000004948114,0.00001381821,2.265572e-7,0.00005168687,4.08448e-8,0.5550906,0.0008498559,0.007027421,0.02859356],"study_design_scores_gemma":[0.0002543359,0.0001678046,0.2810384,0.000163912,0.00001546442,0.00000640528,0.001531103,0.0000431419,0.7085084,0.004332929,0.003764441,0.0001736267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888445,0.0003055565,1.550504e-8,0.008362689,0.0001287659,0.00009075819,0.000002698104,0.0001597497,0.002105257],"genre_scores_gemma":[0.9963334,0.0001423651,0.00003801937,0.0000648578,0.00005181725,0.00001562848,0.000001070024,0.000001006328,0.003351836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1534178,"threshold_uncertainty_score":0.7825403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970796571127373,"score_gpt":0.2229075084632481,"score_spread":0.2031995427519744,"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."}}