{"id":"W3007301554","doi":"10.20518/tjph.457457","title":"Bebek ölümlerindeki MERNİS kayıtlarının tamlık yüzdesi: illerin insani gelişme düzeyi farklılığı açıklar mı?","year":2019,"lang":"tr","type":"article","venue":"Türkiye Halk Sağlığı Dergisi","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Gynecology; Medicine; Animal science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00168166,0.002335188,0.003524349,0.0009947807,0.0005969962,0.0004256121,0.00189453,0.001925774,0.02417907],"category_scores_gemma":[0.0004592895,0.002226935,0.001549701,0.001555773,0.0006353816,0.0009143231,0.001250246,0.002914451,0.0165871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048546,"about_ca_system_score_gemma":0.0007536614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468538,"about_ca_topic_score_gemma":0.0001408433,"domain_scores_codex":[0.9881893,0.0004383701,0.002713069,0.002902248,0.002430957,0.003326101],"domain_scores_gemma":[0.9924136,0.0005651971,0.001219748,0.003679769,0.0006215613,0.001500071],"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":[0.004703517,0.006164638,0.4487892,0.008062566,0.006955192,0.01003005,0.008810787,0.000268616,0.05628189,0.05192387,0.2230217,0.1749879],"study_design_scores_gemma":[0.008053876,0.002182561,0.1339429,0.001888903,0.001200909,0.000987359,0.001616778,0.001839274,0.01229516,0.001112361,0.8315747,0.003305124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7044363,0.01385357,0.002299445,0.006572879,0.006305825,0.006031426,0.0003047548,0.002691868,0.2575039],"genre_scores_gemma":[0.8783103,0.005567928,0.005200842,0.005448748,0.001693216,0.0001866342,0.0002557563,0.0006863662,0.1026502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.608553,"threshold_uncertainty_score":0.9993859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391842060763288,"score_gpt":0.268332409552031,"score_spread":0.2544139889443981,"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."}}