{"id":"W3120572750","doi":"10.47111/jti.v15i1.1907","title":"PENGEMBANGAN WEBSITE SISTEM INFORMASI ADMINISTRASI KEPENDUDUKAN PADA KELURAHAN TUMBANG RUNGAN KOTA PALANGKA RAYA MENGGUNAKAN METODE WATERFALL","year":2021,"lang":"en","type":"article","venue":"JURNAL TEKNOLOGI INFORMASI","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Waterfall model; Certificate; Computer science; Birth certificate; Waterfall; Population; Computer security; World Wide Web; Software; Geography; Cartography; Operating system","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":[0.0004024302,0.0002785316,0.0002630281,0.0007263529,0.0008122923,0.002372885,0.0002880558,0.0003634714,0.03926091],"category_scores_gemma":[0.0008952334,0.0002600781,0.0001127835,0.001489911,0.0003421073,0.00176634,0.0008816326,0.0005168131,0.01012663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057792,"about_ca_system_score_gemma":0.001826445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004596095,"about_ca_topic_score_gemma":0.005963791,"domain_scores_codex":[0.9996747,0.00006424047,0.00002570875,0.00007712276,0.0001084366,0.00004980075],"domain_scores_gemma":[0.999375,0.000210457,0.00005452879,0.00008349332,0.0001954605,0.00008099763],"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":[0.0006250563,0.0006060923,0.03782113,0.001826492,0.00005014447,0.003341636,0.009964282,0.0009971992,0.03038118,0.02097979,0.1006622,0.7927449],"study_design_scores_gemma":[0.00005375871,0.0002117901,0.04274816,0.0001981315,0.00004324564,0.001387317,0.008330876,0.001657248,0.008944415,0.001709383,0.9346576,0.00005811262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.4593353,0.003730503,0.01321508,0.00311343,0.000379432,0.000995655,0.00744762,0.006347192,0.5054358],"genre_scores_gemma":[0.7498646,0.003682971,0.02079233,0.0003499241,0.00006674408,0.0005937992,0.00667395,0.0005062582,0.2174695],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03926091,"threshold_uncertainty_score":0.1313408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039631985104475,"score_gpt":0.2424899062335298,"score_spread":0.2220935863824851,"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."}}