{"id":"W2133576349","doi":"","title":"도시 고속도로의 입체적 이용을 위한 설계 전략 연구","year":2012,"lang":"ko","type":"article","venue":"대한건축학회 논문집 - 계획계","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Context (archaeology); Environmental planning; Transport engineering; Architectural engineering; Geography; Civil engineering; Environmental resource management; Engineering; Environmental 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":[0.001017254,0.0002689599,0.0001836126,0.0007340102,0.001696314,0.002698974,0.0003992589,0.0004348284,0.004514912],"category_scores_gemma":[0.001458902,0.0001625726,0.000255742,0.0008126062,0.001251367,0.0007621559,0.0005772813,0.000239964,0.0006922483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004720421,"about_ca_system_score_gemma":0.005514721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03418286,"about_ca_topic_score_gemma":0.1022476,"domain_scores_codex":[0.9986052,0.0003645705,0.00006831692,0.0001340552,0.0006224038,0.0002055469],"domain_scores_gemma":[0.9986886,0.0003525795,0.0002024757,0.00005375377,0.0006228578,0.00007966583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000278892,0.0007230057,0.1293544,0.00174563,0.00004163083,0.001565362,0.02664703,0.06123487,0.06071165,0.2303014,0.009547042,0.4778492],"study_design_scores_gemma":[0.00004440027,0.002392478,0.1640336,0.0007622809,0.00008951336,0.002890848,0.1141197,0.0437756,0.08534562,0.03579893,0.5505049,0.0002421571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6469927,0.0004968279,0.09913259,0.0007245583,0.00003322096,0.0009038565,0.0002137448,0.00009746821,0.251405],"genre_scores_gemma":[0.917891,0.0003964367,0.05367374,0.00006426883,0.00000593488,0.0002708917,0.0001221408,0.00002739092,0.02754821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03418286,"threshold_uncertainty_score":0.06796777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006260658317086587,"score_gpt":0.2149064013554132,"score_spread":0.2086457430383266,"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."}}