{"id":"W3164818042","doi":"","title":"VARŞOVA VE MONTREAL SÖZLEŞMELERİNİN EŞ ZAMANLI UYGULANMASI, HAVAYOLUYLA YAPILAN TAŞIMA SÖZLEŞMELERİNE UYGULANAN HÜKÜMLER VE TÜRK SİVİL HAVACILIK KANUNU'NUN İÇ TAŞIMALARA İLİŞKİN HÜKÜMLERİNİN ACİL REVİZYON İHTİYACI","year":2016,"lang":"tr","type":"article","venue":"Türkiye Barolar Birliği Dergisi","topic":"Gender Studies and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005336741,0.004592566,0.006133175,0.001272198,0.00681678,0.002151186,0.005776832,0.00363161,0.00542325],"category_scores_gemma":[0.001872962,0.004122969,0.002813116,0.004019091,0.003819823,0.002845807,0.002809126,0.00288527,0.006090254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479936,"about_ca_system_score_gemma":0.001715952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02779897,"about_ca_topic_score_gemma":0.03269987,"domain_scores_codex":[0.9716312,0.003214868,0.004912208,0.006092946,0.005889923,0.008258877],"domain_scores_gemma":[0.9859245,0.001254823,0.00297268,0.004341313,0.002323432,0.003183296],"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":[0.004148445,0.006809278,0.1172488,0.002275002,0.01067928,0.003383977,0.1690968,0.00006662129,0.01290783,0.01463114,0.3049095,0.3538433],"study_design_scores_gemma":[0.01325223,0.003035983,0.1464161,0.002625896,0.003184782,0.0001452571,0.05965524,0.0004393008,0.002647922,0.00476757,0.7529765,0.01085323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7597786,0.0535388,0.001084385,0.02907232,0.0169136,0.009129113,0.00311092,0.003754396,0.1236179],"genre_scores_gemma":[0.9101718,0.0388656,0.001108293,0.00186797,0.007622498,0.0005416101,0.0003112656,0.0008591033,0.03865186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.448067,"threshold_uncertainty_score":0.9996024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616845738376527,"score_gpt":0.2767695137712468,"score_spread":0.2506010563874815,"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."}}