{"id":"W1930916091","doi":"","title":"대규모 도시개발과정에서 공공공간 확충에 대한 연구","year":2006,"lang":"ko","type":"article","venue":"대한건축학회 논문집 - 계획계","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Element (criminal law); Realm; Process (computing); Public space; Space (punctuation); Process management; Business; Public relations; Political science; Engineering; Architectural engineering; Computer science","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":[0.0006700851,0.0001163718,0.0001297979,0.0006329803,0.00093729,0.001599689,0.0002426626,0.000227232,0.003929724],"category_scores_gemma":[0.001302771,0.00007090179,0.0001225794,0.0009658171,0.0008143454,0.0009715969,0.0005722124,0.0002203654,0.0005335512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293159,"about_ca_system_score_gemma":0.001962321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874931,"about_ca_topic_score_gemma":0.008991987,"domain_scores_codex":[0.99949,0.0001610857,0.00001980316,0.00005135457,0.0001584784,0.000119211],"domain_scores_gemma":[0.9986503,0.0004059191,0.000312879,0.00005029857,0.0004770008,0.0001036119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000280703,0.0005726482,0.4747102,0.000884714,0.00005463025,0.001581589,0.06833778,0.004836881,0.01013531,0.07789154,0.004111339,0.3566027],"study_design_scores_gemma":[0.0000140746,0.0008488244,0.6582171,0.0002728881,0.00005525958,0.0008095809,0.2127117,0.005459343,0.009021146,0.01209102,0.1004421,0.00005700691],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710788,0.0002183746,0.002838958,0.000330474,0.000007455774,0.00004878045,0.00005139262,0.00001371268,0.02541207],"genre_scores_gemma":[0.9920604,0.0001737051,0.001451003,0.0000249467,0.000003615571,0.00003319058,0.0000534043,0.000003657964,0.006196032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003929724,"threshold_uncertainty_score":0.01314628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952118719328213,"score_gpt":0.3442265896569427,"score_spread":0.3147054024636606,"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."}}