{"id":"W2947481249","doi":"10.36002/jutik.v3i1.234","title":"RANCANG BANGUN APLIKASI TRACER MEDICAL RECORD FILE BERBASIS HYPERTEXT PREPROCESSOR DI RUMAH SAKIT UMUM DAERAH ( RSUD ) WANGAYA KOTA DENPASAR","year":2017,"lang":"en","type":"article","venue":"Jurnal Teknologi Informasi dan Komputer","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Medical record; Medicine; Agricultural science; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001334758,0.0006553489,0.0008336263,0.0004319646,0.001266493,0.001073343,0.006274205,0.001022793,0.0003093764],"category_scores_gemma":[0.001597643,0.0005444051,0.0003758651,0.000399903,0.000586871,0.003493628,0.002416749,0.001406646,0.0006119357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507187,"about_ca_system_score_gemma":0.0005350431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006328926,"about_ca_topic_score_gemma":0.0001301977,"domain_scores_codex":[0.9946086,0.0001393367,0.001355073,0.001107812,0.001546997,0.001242144],"domain_scores_gemma":[0.9944693,0.0004956443,0.001147953,0.002982019,0.0004259458,0.0004791637],"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":[0.00006500831,0.0002774214,0.02541604,0.0001393595,0.0003547566,0.0007908071,0.001165387,0.00003835182,0.0001662708,0.0140985,0.08544698,0.8720411],"study_design_scores_gemma":[0.003517723,0.0007079003,0.143287,0.0007394277,0.00006335721,0.003850438,0.000169582,0.0642703,0.003372663,0.002276122,0.775849,0.001896469],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6296441,0.001582142,0.2156615,0.05808562,0.01334289,0.00321157,0.0002152354,0.005399341,0.07285757],"genre_scores_gemma":[0.885156,0.000299023,0.09759225,0.005087448,0.002466966,0.0005454044,0.0001262732,0.0001404199,0.008586155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8701447,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135265637385754,"score_gpt":0.2673183183781016,"score_spread":0.2459656620042441,"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."}}