{"id":"W4241932436","doi":"10.52943/jipiki.v6i1.478","title":"Dampak Penumpukan Dokumen Rekam Medis Terhadap Waktu Pengambilan Dokumen Rekam Medis Di RSU Sinar Husni Medan","year":2021,"lang":"en","type":"article","venue":"Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical record; Medicine; Quarter (Canadian coin); Medical emergency; Geography; 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":[0.001204616,0.0006807697,0.0004005141,0.0009854457,0.002827384,0.002654618,0.0004639425,0.0006774198,0.03469571],"category_scores_gemma":[0.001583141,0.0003263673,0.000369184,0.001014267,0.0009783141,0.001728878,0.001948042,0.001385607,0.008894996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053772,"about_ca_system_score_gemma":0.003496474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253803,"about_ca_topic_score_gemma":0.00547442,"domain_scores_codex":[0.9991341,0.0002333227,0.00008705464,0.00009368038,0.0003147378,0.0001371167],"domain_scores_gemma":[0.9988336,0.0002566167,0.000176229,0.00008214346,0.0003707073,0.0002807802],"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":[0.001195056,0.0009137435,0.05036157,0.003545743,0.000121146,0.005422103,0.0406945,0.0005054137,0.01864267,0.01743172,0.07907544,0.7820909],"study_design_scores_gemma":[0.00007663206,0.0006907338,0.08418088,0.001242053,0.0001562914,0.003966916,0.04317428,0.0003850688,0.01064527,0.003508022,0.8518041,0.0001698113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6220409,0.03815955,0.008698228,0.02260111,0.005092748,0.0003921006,0.001521153,0.001128677,0.3003655],"genre_scores_gemma":[0.8198605,0.02160672,0.01250346,0.002185693,0.001200196,0.0002200615,0.0009608187,0.0002684847,0.1411941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03469571,"threshold_uncertainty_score":0.1160687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789321760121435,"score_gpt":0.2585986312633024,"score_spread":0.2407054136620881,"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."}}