{"id":"W1764789725","doi":"","title":"DEA와 DEA-window 분석을 이용한 일반산업단지의 효율성 측정","year":2013,"lang":"ko","type":"article","venue":"국토계획","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Quarter (Canadian coin); Window (computing); Span (engineering); Computer science; Key (lock); Econometrics; Operations research; Economics; Statistics; Engineering; Mathematics; Geography; Civil 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004007556,0.0002446375,0.0002841645,0.00004062207,0.0006979487,0.0001827787,0.0004788932,0.0003387419,0.01134449],"category_scores_gemma":[0.00004614527,0.000229422,0.0001673006,0.0002431459,0.0003893702,0.0004209016,0.0001356038,0.0002258058,0.01780061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027546,"about_ca_system_score_gemma":0.00005068361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714986,"about_ca_topic_score_gemma":0.002132556,"domain_scores_codex":[0.9976843,0.0002864423,0.0003452723,0.0004176357,0.0005606613,0.000705686],"domain_scores_gemma":[0.9990469,0.0001102092,0.000146328,0.000343941,0.00002087496,0.0003318112],"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":[0.00005535104,0.001030236,0.6010928,0.0002379224,0.0005738963,0.0001075817,0.05929889,0.0006467644,0.01178588,0.05800894,0.1509166,0.1162451],"study_design_scores_gemma":[0.0007445895,0.0001626203,0.1876073,0.0001483728,0.00006618444,0.000007285457,0.01071974,0.0001567622,0.001435078,0.002871607,0.7952147,0.0008657256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.773773,0.0009751526,0.00004246728,0.002536007,0.00195358,0.0003973546,0.000008971786,0.00008326793,0.2202302],"genre_scores_gemma":[0.9219761,0.0003250436,0.00008695975,0.0005934559,0.0010046,0.00005349637,0.000008614804,0.00002650519,0.07592525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442981,"threshold_uncertainty_score":0.9895593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052067343935683,"score_gpt":0.2247712183193406,"score_spread":0.2142505448799838,"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."}}