{"id":"W3034574884","doi":"","title":"ÜLKELERİN REKABET ÜSTÜNLÜĞÜ GELİŞTİRMESİ: MARKA GÜÇ ENDEKSİ ÇALIŞMASI","year":2020,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business administration; Business","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":[0.001383559,0.001152536,0.001077907,0.001286489,0.001661854,0.005190228,0.000680641,0.001840188,0.05843988],"category_scores_gemma":[0.00232247,0.0003880741,0.0004093136,0.001237935,0.0009588155,0.002823398,0.001885025,0.002259914,0.02804537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539702,"about_ca_system_score_gemma":0.002843078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002945951,"about_ca_topic_score_gemma":0.002186374,"domain_scores_codex":[0.9991455,0.0001369172,0.0001013583,0.0002336039,0.000285662,0.00009694212],"domain_scores_gemma":[0.9988939,0.0002153257,0.0001447749,0.00006184411,0.0005619882,0.0001221319],"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":[0.0008630492,0.0003870414,0.01090495,0.003308034,0.0000741135,0.004161711,0.004154474,0.00170633,0.006684132,0.0261065,0.2512803,0.6903694],"study_design_scores_gemma":[0.0000518283,0.0003168118,0.01619941,0.001927914,0.00009510056,0.006181526,0.006173075,0.002469596,0.007304385,0.005955465,0.9532104,0.0001145075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1612291,0.2583946,0.01304209,0.09644216,0.02374981,0.0003285961,0.002337835,0.002113456,0.4423623],"genre_scores_gemma":[0.5783781,0.1233091,0.01480561,0.00634656,0.004341794,0.000216168,0.001769002,0.0005437884,0.2702898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05843988,"threshold_uncertainty_score":0.1955009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187593859977644,"score_gpt":0.1727970446656601,"score_spread":0.1509211060658837,"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."}}