{"id":"W3208588259","doi":"10.36040/jati.v5i2.3743","title":"PENERAPAN IoT (Internet of Things) TERHADAP RANCANG BANGUN SISTEM PERINGATAN BATASAN KECEPATAN DAN PENDETEKSI LOKASI KECELAKAAN BAGI PENGENDARA SEPEDA MOTOR BERBASIS ARDUINO","year":2021,"lang":"id","type":"article","venue":"JATI (Jurnal Mahasiswa Teknik Informatika)","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Humanities; Operating system; Computer science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002923894,0.002094797,0.003116654,0.001103189,0.0009889774,0.002738796,0.005151256,0.0009075435,0.0005949113],"category_scores_gemma":[0.0006867641,0.002163589,0.001837248,0.002070243,0.0005306393,0.004788928,0.00214904,0.002309596,0.0004337384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294955,"about_ca_system_score_gemma":0.002928933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975751,"about_ca_topic_score_gemma":0.0005023872,"domain_scores_codex":[0.9846969,0.001394596,0.005349774,0.001909373,0.003931826,0.002717496],"domain_scores_gemma":[0.9880034,0.0007554525,0.003829675,0.004027161,0.001913455,0.001470901],"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":[0.003692678,0.004969749,0.01909996,0.02471844,0.01184023,0.007246648,0.1936476,0.002426494,0.1917658,0.03854637,0.05386415,0.4481819],"study_design_scores_gemma":[0.01740761,0.002895481,0.01279775,0.007857978,0.001506522,0.005117212,0.01810245,0.2111639,0.2613025,0.0001343923,0.4536454,0.008068815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774029,0.00899805,0.02824989,0.003788303,0.01266846,0.005285812,0.0009523438,0.001356379,0.1646718],"genre_scores_gemma":[0.9651259,0.000176472,0.01649932,0.001543865,0.001023509,0.0001839998,0.0003080219,0.000242395,0.01489652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4401131,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340143065689379,"score_gpt":0.2205636293453129,"score_spread":0.2071621986884191,"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."}}