{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006334998,0.0002412998,0.0003367503,0.0001874774,0.0001960368,0.0002170898,0.0003909805,0.00006298715,0.00002248306],"category_scores_gemma":[0.00292471,0.0001828141,0.00005460189,0.001270012,0.0001655651,0.0008087178,0.000338424,0.0002099327,0.00004059297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003838174,"about_ca_system_score_gemma":0.00008708271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199498,"about_ca_topic_score_gemma":0.0008506763,"domain_scores_codex":[0.9985545,0.00005370107,0.0003524536,0.0004258424,0.0002625778,0.0003509295],"domain_scores_gemma":[0.9990738,0.0001787829,0.0002226866,0.0002895163,0.0002094663,0.00002576273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009756269,0.0007325936,0.5113814,0.009807155,0.0004457785,0.01697685,0.1759008,0.000149031,0.006752054,0.08569892,0.1854613,0.005718437],"study_design_scores_gemma":[0.01098051,0.0005340802,0.3350099,0.0003636229,0.0005466666,0.001762882,0.1014004,0.01706876,0.0004200483,0.002648162,0.5261152,0.003149766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717273,0.00131472,0.00001379467,0.02376952,0.00009393501,0.0005643609,0.00001272265,0.00009165819,0.002412016],"genre_scores_gemma":[0.9846354,0.00004062974,0.00008070632,0.01474177,0.0003722169,0.00003325128,0.0000143087,0.00002698961,0.00005472969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3406539,"threshold_uncertainty_score":0.7454944,"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."}}