{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000830265,0.0008274599,0.00104029,0.0003334227,0.0002203733,0.0007745656,0.004359195,0.0002715571,0.0002755345],"category_scores_gemma":[0.0002146047,0.0008576267,0.0004456682,0.002049348,0.0002438134,0.00196679,0.002254153,0.0009105621,0.00101095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793694,"about_ca_system_score_gemma":0.0002207726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005308932,"about_ca_topic_score_gemma":0.00002750381,"domain_scores_codex":[0.9942389,0.0001910749,0.001290351,0.001612838,0.001346933,0.001319885],"domain_scores_gemma":[0.9967883,0.0001938589,0.0004748434,0.001445784,0.0002471257,0.0008500527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001644918,0.001477473,0.005591351,0.003317076,0.0009691991,0.0007415601,0.1746683,0.005294084,0.05055774,0.01413134,0.223926,0.5191613],"study_design_scores_gemma":[0.001374043,0.002406124,0.0075857,0.0007616291,0.0001033827,0.0001967536,0.0002519351,0.8529615,0.03825412,0.0004594564,0.09384491,0.001800411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6444315,0.002105924,0.3373685,0.007231896,0.003588127,0.00096949,0.00002683103,0.001107985,0.003169834],"genre_scores_gemma":[0.9148861,0.0001522354,0.08082675,0.00207241,0.0005502723,0.000027747,0.00001030276,0.00008334233,0.001390832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8476675,"threshold_uncertainty_score":0.9997669,"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."}}