{"id":"W2382685131","doi":"","title":"기술의 효율적 상용화 지원정책에 관한 연구","year":2006,"lang":"ko","type":"article","venue":"정책자료","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Christian ministry; Center (category theory); Service (business); Business administration; Marketing; Advertising; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003923049,0.0006219234,0.0004929958,0.002008927,0.004863636,0.01445486,0.00101173,0.002919111,0.0218775],"category_scores_gemma":[0.007298738,0.0004673035,0.0006428705,0.001898674,0.01633794,0.01320467,0.003428025,0.003968125,0.005784509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006939647,"about_ca_system_score_gemma":0.01017322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00953261,"about_ca_topic_score_gemma":0.008091609,"domain_scores_codex":[0.9961282,0.001511332,0.0002080616,0.0007821603,0.0009883831,0.0003818942],"domain_scores_gemma":[0.9962353,0.001585782,0.0003681543,0.0003253297,0.001093442,0.000391956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002567943,0.00003499193,0.001506039,0.0001727212,0.00002367429,0.0001269021,0.008233748,0.0003032696,0.000317503,0.9421056,0.0178892,0.02926063],"study_design_scores_gemma":[0.00002836849,0.00004187065,0.002613549,0.0006037559,0.00003791793,0.0002257534,0.01326784,0.0006002872,0.000580654,0.5347816,0.4471754,0.00004296528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02017037,0.008369979,0.01608116,0.04382184,0.001202251,0.0001799534,0.0004648303,0.000159519,0.9095501],"genre_scores_gemma":[0.7606283,0.01043117,0.02344665,0.00944298,0.001158287,0.0004906065,0.0004367668,0.0002359006,0.1937293],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0218775,"threshold_uncertainty_score":0.07318753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006531442465058027,"score_gpt":0.2156390257793125,"score_spread":0.2091075833142545,"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."}}