{"id":"W2784273521","doi":"10.24843/mite.2017.v16i03p05","title":"RANCANG BANGUN PEMANDU TUNA NETRA MENGGUNAKAN SENSOR ULTRASONIK BERBASIS MIKROKONTROLER","year":2017,"lang":"id","type":"article","venue":"Majalah Ilmiah Teknologi Elektro","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arbutus Biopharma (Canada)","funders":"","keywords":"Physics; Operating system; Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007525424,0.001075747,0.0009051464,0.001338843,0.001516466,0.003106601,0.0008520883,0.001383516,0.01555818],"category_scores_gemma":[0.000865209,0.0006454447,0.0007294167,0.001469101,0.0006196712,0.001996743,0.001126011,0.001161044,0.004653784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664103,"about_ca_system_score_gemma":0.001797137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087857,"about_ca_topic_score_gemma":0.01740588,"domain_scores_codex":[0.9990234,0.00008413983,0.00004958302,0.0002388646,0.0004770552,0.0001269047],"domain_scores_gemma":[0.9992155,0.00009099243,0.0000667961,0.00005749031,0.0005118297,0.00005733044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001064319,0.0002228952,0.01301058,0.001941867,0.0001805038,0.001596651,0.001437149,0.003284119,0.6160045,0.005002867,0.01205873,0.3441958],"study_design_scores_gemma":[0.0000515264,0.0007233311,0.02722581,0.0003790075,0.0003498046,0.001794792,0.003076448,0.01186635,0.6590655,0.001926652,0.2933187,0.0002220874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434133,0.03170576,0.1508031,0.006491037,0.003228752,0.0007606684,0.004232152,0.006626884,0.2527384],"genre_scores_gemma":[0.6843966,0.01173607,0.07286998,0.001481635,0.00025086,0.0003306975,0.002138637,0.0005972052,0.2261982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555818,"threshold_uncertainty_score":0.05204731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613538636601472,"score_gpt":0.2439556693180832,"score_spread":0.2278202829520685,"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."}}