{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140749,0.0005722402,0.0006704243,0.0008585516,0.001780434,0.003527176,0.0005506778,0.001468049,0.01426288],"category_scores_gemma":[0.004489469,0.0003032653,0.0006551372,0.0007586408,0.002125587,0.002716529,0.001622358,0.002224533,0.002271018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874134,"about_ca_system_score_gemma":0.00230033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368016,"about_ca_topic_score_gemma":0.01650489,"domain_scores_codex":[0.9987944,0.0003628321,0.00007358637,0.0001696542,0.0003660908,0.0002333337],"domain_scores_gemma":[0.9975885,0.000543117,0.0007292985,0.0001021906,0.000696063,0.0003408004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001035492,0.000946659,0.5033603,0.003408645,0.0005777053,0.004156796,0.06159702,0.001018654,0.0117303,0.04527824,0.04461506,0.322275],"study_design_scores_gemma":[0.00004385829,0.0005312981,0.6881886,0.002476005,0.0002483818,0.00300304,0.1271331,0.001499836,0.004196106,0.02494458,0.1475202,0.0002149743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8337901,0.02229059,0.009492469,0.0365638,0.001206532,0.0002335026,0.0008295736,0.0001629664,0.09543047],"genre_scores_gemma":[0.9699574,0.006382978,0.003284361,0.002078103,0.0002184938,0.00009153729,0.000408883,0.00003168027,0.01754647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426288,"threshold_uncertainty_score":0.04771411,"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."}}