{"id":"W6986406709","doi":"","title":"PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASIPENDAFTARAN PASIEN UNTUK OPTIMALISASI PELAYANANKESEHATAN DI PUSKESMAS RAWAT INAP SIMPUR KOTABANDAR LAMPUNG","year":2024,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Informatics engineering; Service (business); Waiting list; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053791,0.001264924,0.0007264055,0.0009619229,0.0009348637,0.004882627,0.001188757,0.001091874,0.02292272],"category_scores_gemma":[0.004330585,0.0006531697,0.0007675472,0.0009233327,0.0006523295,0.003327886,0.001696673,0.001679481,0.01562395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056914,"about_ca_system_score_gemma":0.00291159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921184,"about_ca_topic_score_gemma":0.00388429,"domain_scores_codex":[0.997988,0.0004250841,0.0001401369,0.000405627,0.0008171096,0.000224113],"domain_scores_gemma":[0.9971389,0.0007882576,0.0001522804,0.0006591268,0.001081331,0.0001801821],"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":[0.001447964,0.001144974,0.01405108,0.002318785,0.0001993832,0.001130908,0.003392956,0.01306793,0.1130269,0.03726229,0.04826709,0.7646897],"study_design_scores_gemma":[0.0002452251,0.001195528,0.02111851,0.0006263278,0.0004164733,0.001334009,0.002914155,0.08173247,0.166839,0.02235594,0.7009234,0.0002990231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1548488,0.003139473,0.5355276,0.003476661,0.0006126322,0.00205912,0.002939361,0.06400212,0.2333943],"genre_scores_gemma":[0.515475,0.003438984,0.2993213,0.001122813,0.000205065,0.001182829,0.00601496,0.004236133,0.169003],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02292272,"threshold_uncertainty_score":0.07668418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007547949770698934,"score_gpt":0.2193064740546401,"score_spread":0.2117585242839411,"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."}}