{"id":"W1495989823","doi":"","title":"국가정보화의 균형발전에 관한 연구","year":2004,"lang":"ko","type":"article","venue":"한국사회와 행정연구","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatization; Adaptability; Government (linguistics); Information society; Information security; Business; Information technology; National security; Information system; Political science; Economics; Computer science; Computer security; Management","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":[0.0007623505,0.0002279861,0.0001504133,0.0006389685,0.00127802,0.002537482,0.0003270541,0.0004912508,0.0556464],"category_scores_gemma":[0.002011652,0.00009640061,0.0002439245,0.0009710866,0.0008822549,0.001673443,0.0009550657,0.000604218,0.01427336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367884,"about_ca_system_score_gemma":0.001447201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004838232,"about_ca_topic_score_gemma":0.005266347,"domain_scores_codex":[0.9991837,0.0001746975,0.00004460824,0.0001689137,0.0003238741,0.0001041049],"domain_scores_gemma":[0.9990219,0.0001585116,0.0001241445,0.000116777,0.000465467,0.0001132982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00014392,0.0001726881,0.03100509,0.0003637512,0.00006441239,0.0004965056,0.005710702,0.00141647,0.005435138,0.4047003,0.1014829,0.4490081],"study_design_scores_gemma":[0.00001155876,0.0001179361,0.03298554,0.0001528945,0.00003347921,0.0005560677,0.004524331,0.001235665,0.00256273,0.04813604,0.9096449,0.00003880414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07495339,0.001513965,0.02028241,0.007547489,0.0006605239,0.000170562,0.001031484,0.0002658777,0.8935744],"genre_scores_gemma":[0.5988482,0.002080946,0.01721238,0.002221324,0.0002300083,0.0001741248,0.001596708,0.00008579068,0.3775504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0556464,"threshold_uncertainty_score":0.1861557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204566532657573,"score_gpt":0.2410006865383398,"score_spread":0.2289550212117641,"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."}}