{"id":"W4312947428","doi":"10.31090/narodroid.v6i1.1048","title":"KUNCI PINTU RUMAH OTOMATIS DENGAN MAGNET DOOR LOCK BERBASIS INTERNET OF THINGS MENGGUNAKAN TELEGRAM RUMAH BOT","year":2020,"lang":"id","type":"article","venue":"e-NARODROID","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Lock (firearm); Operating system; Computer science; Engineering; Mechanical engineering","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":[0.0006883689,0.0008351615,0.0005513232,0.000789099,0.001889784,0.002541248,0.000946561,0.001236012,0.0417802],"category_scores_gemma":[0.001535244,0.0004712941,0.0003640221,0.0005611452,0.0006670312,0.00295882,0.002394979,0.001263423,0.01523888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197168,"about_ca_system_score_gemma":0.001153922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612638,"about_ca_topic_score_gemma":0.003375151,"domain_scores_codex":[0.9989945,0.000115495,0.00006172813,0.0002084401,0.0003882127,0.0002315713],"domain_scores_gemma":[0.9985247,0.0002575277,0.0001492954,0.0004009757,0.0004754095,0.0001920632],"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":[0.002326248,0.0005450581,0.01302332,0.001550933,0.0001150042,0.002718135,0.003915506,0.001808736,0.1674291,0.0356093,0.1087808,0.6621779],"study_design_scores_gemma":[0.0001354957,0.0008492846,0.01717794,0.0003625517,0.0002066375,0.002941592,0.003321548,0.01020472,0.09568764,0.008014969,0.8608974,0.0002002563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2229973,0.00437052,0.1716276,0.00568643,0.00285253,0.001198364,0.002313923,0.03034526,0.558608],"genre_scores_gemma":[0.6264467,0.001953913,0.02941059,0.001625427,0.000396393,0.0004227457,0.001333099,0.00107497,0.3373361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0417802,"threshold_uncertainty_score":0.1397687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141649064132115,"score_gpt":0.2052338861961798,"score_spread":0.1910689797829683,"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."}}