{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001746533,0.0003826862,0.0004615083,0.0001614796,0.002852069,0.0003655111,0.0009021631,0.0002563504,0.001573636],"category_scores_gemma":[0.0003637106,0.0003603896,0.0002662126,0.001437069,0.001786465,0.0005864977,0.0001610073,0.0003098293,0.001489998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742006,"about_ca_system_score_gemma":0.0008048549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02192416,"about_ca_topic_score_gemma":0.0224475,"domain_scores_codex":[0.9958204,0.0003520865,0.0006466469,0.0008143538,0.001155178,0.001211325],"domain_scores_gemma":[0.998183,0.0003906473,0.0002843572,0.0005365778,0.0003301933,0.0002752176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002547858,0.001039028,0.342534,0.0001018338,0.0001086448,0.00002207312,0.1349432,0.00006153881,0.0005353349,0.07286446,0.432618,0.01514638],"study_design_scores_gemma":[0.0004848645,0.0001431137,0.4744295,0.00009959754,0.0001142469,0.000004254736,0.09113397,0.0000504791,0.0002437657,0.02841478,0.4039514,0.0009300794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4818662,0.004244191,0.00006959144,0.0428497,0.01013625,0.0006579995,0.00005641133,0.000244184,0.4598754],"genre_scores_gemma":[0.910968,0.001648757,0.0003546848,0.0005160398,0.004401782,0.00003221354,0.00001412162,0.00002556321,0.08203885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4291018,"threshold_uncertainty_score":0.9998848,"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."}}