{"id":"W4319436939","doi":"10.58225/urbanizm.2020-25-11-18","title":"MEGAPROJECTS’ FINANCE IN THE POST-COVID-19 PERIOD: CASE STUDIES OF EURASIA TUNNEL AND YAVUZ SULTAN SELIM BRIDGE","year":2020,"lang":"en","type":"article","venue":"Urbanizm","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Turkish; Quarter (Canadian coin); Government (linguistics); Control (management); Outbreak; Bridge (graph theory); Political science; Business; Public administration; Economic growth; Geography; Economics; Management; Medicine; Virology","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":[0.002054712,0.0003970939,0.0003646399,0.001677883,0.00306819,0.00204447,0.001179295,0.001499783,0.002577271],"category_scores_gemma":[0.003458122,0.0003467556,0.000466191,0.002184112,0.002105159,0.001492188,0.002591438,0.001328491,0.0001789266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004841263,"about_ca_system_score_gemma":0.002984196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03108372,"about_ca_topic_score_gemma":0.05768045,"domain_scores_codex":[0.998085,0.0009177745,0.00007236576,0.0001240582,0.0002198149,0.0005810254],"domain_scores_gemma":[0.9973591,0.0008290682,0.0007976246,0.00008793766,0.0003004302,0.0006257711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005861617,0.00175058,0.7053412,0.0005383223,0.0001913553,0.1266043,0.1103166,0.003342705,0.00104748,0.01222978,0.005539523,0.03251208],"study_design_scores_gemma":[0.00002571867,0.0005535653,0.4819335,0.0004740229,0.0000624475,0.01155528,0.4878756,0.002502026,0.0005403306,0.00126863,0.01315124,0.00005759263],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979084,0.0002345495,0.0001214116,0.0003485083,0.000006282091,0.00002938355,0.00006195118,0.000001088931,0.001288582],"genre_scores_gemma":[0.9984982,0.0003812718,0.0002294012,0.00006263075,0.000005703751,0.00002717075,0.0000509214,0.000001980412,0.0007427496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03108372,"threshold_uncertainty_score":0.06180561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015909718724635,"score_gpt":0.3112223611627254,"score_spread":0.209631389290262,"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."}}