{"id":"W2996071851","doi":"10.54914/jtt.v5i1.201","title":"APLIKASI MONITORING PERKEMBANGAN JANIN (ANTENATAL CARE) DENGAN METODE SCRUM BERBASIS PERANGKAT MOBILE","year":2019,"lang":"id","type":"article","venue":"Jurnal Teknologi Terpadu","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Nursing; Art; Medicine","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":[0.002898054,0.0007773031,0.0008323895,0.001335553,0.001029256,0.003063951,0.001092854,0.0009079454,0.01829918],"category_scores_gemma":[0.007293758,0.0005120341,0.0008339389,0.001559825,0.0003807614,0.001428217,0.001617145,0.001067896,0.004053373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328597,"about_ca_system_score_gemma":0.003362069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368586,"about_ca_topic_score_gemma":0.01949971,"domain_scores_codex":[0.9974822,0.0008716716,0.0002473552,0.0004582494,0.0006939386,0.0002466081],"domain_scores_gemma":[0.9953194,0.00181687,0.0006631985,0.0005180149,0.001313569,0.0003689552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002547713,0.0006633165,0.1538209,0.004128099,0.0003629344,0.00105043,0.004038129,0.001774169,0.03681127,0.002443121,0.02161926,0.7707406],"study_design_scores_gemma":[0.0004402155,0.004726417,0.4014618,0.003639302,0.001512484,0.003967862,0.009836543,0.01226162,0.08561371,0.004113353,0.472067,0.0003597711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6806521,0.03245815,0.08925251,0.01782296,0.003004432,0.004993634,0.02310736,0.006304416,0.1424044],"genre_scores_gemma":[0.8168004,0.01316436,0.08754501,0.002435243,0.0005823571,0.00198469,0.007371157,0.0006495609,0.06946733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829918,"threshold_uncertainty_score":0.06121689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422938408812405,"score_gpt":0.2575742319146465,"score_spread":0.2433448478265224,"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."}}