{"id":"W3157921074","doi":"10.33060/jik/2021/vol10.iss1.190","title":"PENERAPAN IOT PADA SISTEM KEAMANAN PINTU RUMAH DENGAN ESP8266 MENGGUNAKAN METODE LOGIKA FUZZY","year":2021,"lang":"id","type":"article","venue":"Jurnal Ilmu Komputer","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00234915,0.001461867,0.00197051,0.0005903927,0.001081657,0.00312461,0.003625717,0.0007492838,0.0001538599],"category_scores_gemma":[0.0001511302,0.001439679,0.001319129,0.001844936,0.0002550172,0.001030641,0.001750845,0.001846012,0.001612794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777514,"about_ca_system_score_gemma":0.001673728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003180061,"about_ca_topic_score_gemma":0.0004365816,"domain_scores_codex":[0.987279,0.00277801,0.002307097,0.002793452,0.002291745,0.00255067],"domain_scores_gemma":[0.9924207,0.0006956823,0.001137268,0.003321394,0.001177248,0.001247714],"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":[0.0005128394,0.005134012,0.005309963,0.0023995,0.007683392,0.02625818,0.01583158,0.01434278,0.1324377,0.1104167,0.1873883,0.492285],"study_design_scores_gemma":[0.008472441,0.001744023,0.009896718,0.001730887,0.0007002277,0.003295203,0.0004997794,0.1924027,0.0343042,0.00137205,0.7408515,0.004730299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2677096,0.02740355,0.5308456,0.06362043,0.06240567,0.004113236,0.0001640909,0.002549571,0.04118815],"genre_scores_gemma":[0.9408998,0.0001441747,0.0200851,0.006782301,0.008233824,0.00008910013,0.00004545922,0.0002430041,0.02347725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6731902,"threshold_uncertainty_score":0.9998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824033323420288,"score_gpt":0.2353925547756789,"score_spread":0.217152221541476,"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."}}