{"id":"W3036202180","doi":"","title":"도심부에서 작은 블록을 활용한 도시재생 계획특징 연구","year":2019,"lang":"ko","type":"article","venue":"한국문화공간건축학회 논문집","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban planning; Locality; Environmental planning; Plan (archaeology); Block (permutation group theory); Urban design; Urban spatial structure; Macro; Sustainable development; Geography; Regional science; Civil engineering; Computer science; Engineering; Political 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":[0.002182371,0.0004035902,0.0005548086,0.0001741629,0.001693055,0.0002461161,0.001160111,0.0002852005,0.007586772],"category_scores_gemma":[0.000521447,0.0003762705,0.0002931928,0.001382965,0.001209214,0.0007425271,0.0002419319,0.0003892562,0.008356421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002778871,"about_ca_system_score_gemma":0.0008783273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00364914,"about_ca_topic_score_gemma":0.002421195,"domain_scores_codex":[0.9955275,0.0003942348,0.0006093325,0.0009402407,0.001269939,0.001258749],"domain_scores_gemma":[0.9976544,0.000512237,0.0003042203,0.0007415687,0.0003944911,0.0003930265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000042458,0.0007113349,0.4963748,0.0001998141,0.0002410443,0.00001153348,0.2657695,0.00004266125,0.0007800682,0.03618115,0.1746527,0.02499294],"study_design_scores_gemma":[0.0007010493,0.000291271,0.2924328,0.0001809587,0.0001296241,0.000004025394,0.1261843,0.0001023215,0.0001863291,0.008498862,0.570165,0.001123375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.619911,0.003012575,0.00003158204,0.04255787,0.01631758,0.0009556839,0.00006993367,0.0001925176,0.3169513],"genre_scores_gemma":[0.901382,0.002903171,0.0001962032,0.001051715,0.002129201,0.00002600471,0.000008403107,0.000029375,0.09227394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3955123,"threshold_uncertainty_score":0.9998689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150876282393017,"score_gpt":0.3535933592278218,"score_spread":0.3220845964038916,"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."}}