{"id":"W4293069102","doi":"10.54259/sehatrakyat.v1i1.894","title":"Evaluasi Prosedur Waktu Pengembalian Dokumen Rekam Medis Rawat Inap Di Rumah Sakit Umum X Surabaya","year":2022,"lang":"en","type":"article","venue":"Sehat Rakyat Jurnal Kesehatan Masyarakat","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical record; Quarter (Canadian coin); Medicine; Medical emergency; Electronic medical record; Nonprobability sampling; Medical examiner; Population; Surgery","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":[0.005449135,0.0004293502,0.0005443738,0.001218417,0.001685925,0.002475922,0.0003498419,0.0003586371,0.01446662],"category_scores_gemma":[0.007675929,0.0002122287,0.0003692587,0.001085152,0.0007412967,0.001627016,0.001053543,0.000776512,0.001970708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148636,"about_ca_system_score_gemma":0.003005967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002999,"about_ca_topic_score_gemma":0.006578865,"domain_scores_codex":[0.9971135,0.00112547,0.0003365867,0.0001858752,0.001046369,0.0001922015],"domain_scores_gemma":[0.9947019,0.002100437,0.0005705566,0.0001956557,0.002098507,0.0003328529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001899787,0.00213661,0.1425572,0.008203252,0.0001994568,0.001589149,0.0904175,0.000732464,0.01877422,0.004794607,0.02172062,0.7069751],"study_design_scores_gemma":[0.0001424079,0.00431829,0.5717108,0.00397605,0.0005089759,0.001513671,0.1901589,0.001488819,0.02525796,0.003298636,0.1973758,0.000249627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428323,0.005719902,0.00333771,0.001811055,0.0003188878,0.001280402,0.001022036,0.000138684,0.04353897],"genre_scores_gemma":[0.9660221,0.005229923,0.009706083,0.0003252586,0.00008884867,0.001104795,0.0007993636,0.00004033836,0.01668321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446662,"threshold_uncertainty_score":0.04839563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617132206738208,"score_gpt":0.2509636972576683,"score_spread":0.2347923751902862,"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."}}