{"id":"W4293220740","doi":"10.30996/elsains.v4i1.6431","title":"Purwarupa Alat Komunikasi dan Monitoring Pada Rumah Sakit Menggunakan Li-Fi untuk Mengurangi Gangguan Gelombang Elektromagnetik Pada Alat Medis","year":2022,"lang":"id","type":"article","venue":"El Sains Jurnal Elektro","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Physics; Humanities; 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":[0.00100768,0.001005329,0.0008020733,0.0009670753,0.000870272,0.002139866,0.0008203252,0.001056579,0.01649782],"category_scores_gemma":[0.001415013,0.0005491538,0.0006466105,0.0006849046,0.0006422413,0.001979292,0.001178801,0.00138337,0.005798847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771753,"about_ca_system_score_gemma":0.0007359715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009014184,"about_ca_topic_score_gemma":0.001465169,"domain_scores_codex":[0.9989902,0.0001242662,0.00005896223,0.0002152854,0.0005106974,0.0001006137],"domain_scores_gemma":[0.99863,0.0003669017,0.0001392147,0.0001929248,0.0005585032,0.0001125284],"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":[0.0009287035,0.0002026299,0.002735724,0.001097211,0.00006717094,0.0004440014,0.0004780061,0.0004482239,0.8423519,0.00135945,0.005887204,0.1439997],"study_design_scores_gemma":[0.00006901393,0.001155238,0.01023897,0.0001721124,0.0001670833,0.001118046,0.0004412997,0.002759327,0.8482969,0.001316948,0.13417,0.00009510345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5750527,0.02767652,0.2165293,0.006222286,0.002552781,0.001526185,0.003822099,0.0101614,0.1564567],"genre_scores_gemma":[0.6881726,0.01282056,0.1130691,0.002560579,0.000701792,0.001054663,0.002435729,0.001359354,0.1778255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01649782,"threshold_uncertainty_score":0.05519068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168835375712487,"score_gpt":0.2376704019950606,"score_spread":0.2259820482379358,"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."}}