{"id":"W4414921405","doi":"10.52005/jursistekni.v6i2.316","title":"MEMBANGUN APLIKASI DATA PENGAMATAN CUACA PADA STASIUN METEREOLOGI 96041 MEDAN MENGGUNAKAN FRAMEWORK FLUTTER","year":2024,"lang":"id","type":"article","venue":"Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"File system; JavaScript; Unix","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":[0.00185694,0.00153068,0.00108721,0.001208825,0.0008098315,0.004582074,0.001946162,0.001264329,0.05607813],"category_scores_gemma":[0.004886203,0.0008121607,0.000806766,0.001048357,0.0005462658,0.003336975,0.002127202,0.002047321,0.03302019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085385,"about_ca_system_score_gemma":0.00179059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004826138,"about_ca_topic_score_gemma":0.004322054,"domain_scores_codex":[0.9980293,0.0002309909,0.0001759535,0.0004158831,0.0009570518,0.000190856],"domain_scores_gemma":[0.9976902,0.0004936731,0.0001263093,0.000581955,0.0009247346,0.0001831389],"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":[0.002035292,0.0004021765,0.009290408,0.002524877,0.0001658417,0.001016029,0.002692965,0.005631434,0.08573461,0.02787246,0.2178156,0.6448183],"study_design_scores_gemma":[0.0001273893,0.0002855992,0.005510006,0.0003380256,0.0001230259,0.0006063964,0.0004619992,0.01495079,0.04775022,0.004220257,0.9254797,0.0001465331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04842489,0.005769883,0.33981,0.004182229,0.001995189,0.001667121,0.01382866,0.2275792,0.3567429],"genre_scores_gemma":[0.3921133,0.005123941,0.1315961,0.00207288,0.0005599755,0.001363511,0.01615836,0.02186797,0.4291439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05607813,"threshold_uncertainty_score":0.1876001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879436845178273,"score_gpt":0.3043770286365692,"score_spread":0.2555826601847865,"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."}}