{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005135958,0.000610569,0.0004322691,0.0005956511,0.0005109956,0.001672273,0.0006666521,0.0006894565,0.01321614],"category_scores_gemma":[0.0006565349,0.0002450025,0.0004997479,0.0005727548,0.0002621453,0.001418356,0.0007659887,0.0007034004,0.00413538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484573,"about_ca_system_score_gemma":0.0006959079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390454,"about_ca_topic_score_gemma":0.004102492,"domain_scores_codex":[0.9996644,0.00004134582,0.0000425642,0.00007184302,0.000146242,0.00003362683],"domain_scores_gemma":[0.9997029,0.00006715188,0.0000148586,0.00005853836,0.000141761,0.00001469822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007225942,0.0001583547,0.002530184,0.0007487617,0.0000697764,0.0006553129,0.0005184468,0.04215647,0.1189899,0.02461199,0.01833384,0.7905044],"study_design_scores_gemma":[0.0001282837,0.0008009117,0.009057067,0.0003030135,0.0001582855,0.00132603,0.00103816,0.5474554,0.1268733,0.02809812,0.2846095,0.0001518928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07261807,0.002895206,0.8025975,0.001111517,0.0004895357,0.0004146548,0.001595877,0.011036,0.1072417],"genre_scores_gemma":[0.5752702,0.003585202,0.2571125,0.000532238,0.0001392053,0.0003669167,0.003609829,0.0005048181,0.1588792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01321614,"threshold_uncertainty_score":0.0442124,"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."}}