{"id":"W21945079","doi":"10.1016/j.arth.2011.07.014","title":"정부의 규모(Size), 기능(Scope), 역량(Strength)에 관한 탐색적 연구: 문민정부, 국민의 정부, 참여정부를 중심으로","year":2007,"lang":"en","type":"article","venue":"행정논총(Korean Journal of Public Administration)","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004056239,0.0004833245,0.0005226444,0.001306246,0.0003356498,0.0008187278,0.0005998225,0.0003383833,0.009723759],"category_scores_gemma":[0.01755545,0.0002051633,0.0009530399,0.001225542,0.0007786523,0.001551472,0.0007118349,0.0005868686,0.003898415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606239,"about_ca_system_score_gemma":0.0007830252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009175097,"about_ca_topic_score_gemma":0.002827891,"domain_scores_codex":[0.9977816,0.0006413934,0.0004240601,0.0001761227,0.0008648327,0.0001120704],"domain_scores_gemma":[0.9892868,0.003424313,0.002328539,0.000802772,0.00361576,0.0005417911],"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":[0.0005791918,0.0003893311,0.3957046,0.0009311904,0.00037569,0.0001372254,0.000725675,0.0008126935,0.004225642,0.003071341,0.01415215,0.5788951],"study_design_scores_gemma":[0.000172543,0.001264055,0.9495305,0.0002785419,0.0002635198,0.0009248995,0.0008004033,0.002146562,0.004139761,0.006298311,0.03407664,0.0001043438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298117,0.002659656,0.04526336,0.003470988,0.0005771845,0.002825318,0.0105913,0.0009515602,0.103849],"genre_scores_gemma":[0.9184915,0.001349721,0.05826453,0.0004638148,0.0002204229,0.002640289,0.002717651,0.0001395028,0.01571249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009723759,"threshold_uncertainty_score":0.03252918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274747286736102,"score_gpt":0.2995497390584497,"score_spread":0.2768022661910887,"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."}}