{"id":"W4392820586","doi":"10.62667/begawe.v1i2.41","title":"APLIKASI SOFTWARE DETEKSI DINI FAKTOR RISIKO DIABETES MELLITUS PADA DEWASA DI PUSKESMAS KERTASMAYA KABUPATEN INDRAMAYU","year":2023,"lang":"id","type":"article","venue":"BEGAWE Jurnal Pengabdian Masyarakat","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Gynecology; Internal medicine; Endocrinology","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":[0.003394466,0.00154558,0.001165382,0.001880678,0.0007101555,0.003770048,0.001294076,0.001031461,0.02289532],"category_scores_gemma":[0.01476446,0.0006528494,0.001610952,0.001280378,0.000351994,0.001868499,0.001627229,0.001511994,0.01298048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007228702,"about_ca_system_score_gemma":0.001873036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005261691,"about_ca_topic_score_gemma":0.003467964,"domain_scores_codex":[0.9978897,0.0004533366,0.0003286718,0.000548811,0.0006104411,0.0001690388],"domain_scores_gemma":[0.9913473,0.004450265,0.0006368217,0.0009551661,0.002203648,0.0004067371],"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":[0.003596435,0.0008813103,0.0672382,0.002612031,0.0007079772,0.000706104,0.002268331,0.006495652,0.01177863,0.005082184,0.1186127,0.7800205],"study_design_scores_gemma":[0.001222966,0.00194123,0.1344816,0.002429465,0.002027212,0.002356465,0.002101366,0.1396026,0.04873601,0.02670879,0.6377048,0.0006874534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2000316,0.01264733,0.3326662,0.009994872,0.002610452,0.004764137,0.04574503,0.247156,0.1443844],"genre_scores_gemma":[0.6393289,0.008618827,0.2069076,0.00345478,0.0008239749,0.004193456,0.04048944,0.0104204,0.08576273],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02289532,"threshold_uncertainty_score":0.0765925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0904178652761529,"score_gpt":0.3796907267433692,"score_spread":0.2892728614672163,"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."}}