{"id":"W2502602092","doi":"","title":"건축물 옥상녹화의 건축계획 특성 및 개선방안에 관한 연구","year":2005,"lang":"ko","type":"article","venue":"대한건축학회지회연합회 학술발표대회논문집","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Roof; Green roof; Environmental science; Urban heat island; Civil engineering; Architectural engineering; Environmental engineering; Geography; Meteorology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001246435,0.0001060541,0.00008311006,0.0003858678,0.0005913007,0.0006521113,0.0001237939,0.00009033059,0.00511612],"category_scores_gemma":[0.0004513818,0.00006275195,0.0001624595,0.0006555111,0.0006309195,0.0002291986,0.0002413885,0.0001143655,0.0005254786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178323,"about_ca_system_score_gemma":0.001101995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04092106,"about_ca_topic_score_gemma":0.120851,"domain_scores_codex":[0.9998513,0.00002012605,0.000004763495,0.00001752333,0.00005203267,0.00005407276],"domain_scores_gemma":[0.9997003,0.00003770086,0.00008496879,0.00001949214,0.00008963929,0.00006795934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006638878,0.00007456308,0.9256829,0.0000632589,0.00003508095,0.0002511972,0.00290232,0.00171119,0.007202562,0.00505119,0.0008401769,0.05611913],"study_design_scores_gemma":[0.000001102432,0.00003543193,0.9915342,0.000005533581,0.000009078004,0.00007891413,0.002326563,0.0004869339,0.0006920617,0.0002669954,0.004558476,0.000004730565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886508,0.00003859667,0.0006409062,0.00004354609,0.000001310409,0.00001375624,0.000107019,0.000008562388,0.01049556],"genre_scores_gemma":[0.9972482,0.00003258651,0.0004527527,0.000002652993,7.618135e-7,0.000003622968,0.00007266995,0.000001715183,0.002185025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04092106,"threshold_uncertainty_score":0.08136576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120683781075264,"score_gpt":0.2468078329640964,"score_spread":0.23473945485657,"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."}}