{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453813,0.000236721,0.0001876058,0.0004684855,0.001203409,0.0005122403,0.0005955211,0.0003083789,0.001222179],"category_scores_gemma":[0.0001485964,0.0002277041,0.0003668598,0.0009487863,0.0004259049,0.0003932641,0.0005135547,0.0002930363,0.0001010108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065057,"about_ca_system_score_gemma":0.001355307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03922764,"about_ca_topic_score_gemma":0.2059042,"domain_scores_codex":[0.9998705,0.00002649125,0.000006068127,0.00002909028,0.00001868917,0.00004907153],"domain_scores_gemma":[0.9998444,0.00001399549,0.00003573946,0.000008620383,0.00003407406,0.00006302673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008914826,0.002347142,0.9014989,0.0002238118,0.0002366491,0.005944201,0.003014351,0.005889076,0.03975346,0.001068184,0.001370748,0.03776195],"study_design_scores_gemma":[0.0000419669,0.0006532652,0.961589,0.00002241387,0.0002777057,0.0007027476,0.0223275,0.009605925,0.002958566,0.0003894825,0.001379832,0.00005176164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995793,0.00001409686,0.00008720346,0.00003698132,0.000001727024,0.000005902707,0.00002715924,0.000002557863,0.0002450512],"genre_scores_gemma":[0.9992842,0.00002890486,0.000287716,0.00001116616,0.000001079626,0.000003219701,0.0000291548,0.00000145726,0.0003531319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03922764,"threshold_uncertainty_score":0.07799864,"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."}}