{"id":"W4392188216","doi":"10.1109/iccit60459.2023.10441308","title":"Blynk, Database and WhatsApp Integrated RFID Based Lock System","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Lock (firearm); Database; Embedded system; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003444313,0.0002231011,0.0002596351,0.0002790283,0.00007196934,0.00008655745,0.000140595,0.00009484672,0.0000983611],"category_scores_gemma":[0.00002650967,0.0001949273,0.00004147409,0.0007420933,0.00003196458,0.0001674697,0.00003782882,0.0001564609,0.0009707003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047314,"about_ca_system_score_gemma":0.00003230201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484873,"about_ca_topic_score_gemma":0.00008152702,"domain_scores_codex":[0.9988405,0.00004949203,0.0002878815,0.0002558273,0.0002013701,0.0003649118],"domain_scores_gemma":[0.9992468,0.0001046915,0.00002131324,0.0004311924,0.00004738895,0.0001486403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001500409,0.0001235796,0.02088116,0.01756017,0.0007466441,0.001438693,0.001163372,0.09641092,0.1336976,0.01359833,0.6999319,0.01429758],"study_design_scores_gemma":[0.000804257,0.00003061959,0.0004442168,0.0003260785,0.00002180222,0.00001949636,0.001523068,0.9481499,0.01062848,0.000002021492,0.03763478,0.0004153047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8123754,0.0006353068,0.06977759,0.0002667343,0.005494738,0.001601798,0.0004630761,0.01896922,0.09041613],"genre_scores_gemma":[0.9979747,0.000008190072,0.0005162904,0.00003294475,0.0001112088,0.00004938065,0.0002154127,0.0000732718,0.001018607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8517389,"threshold_uncertainty_score":0.9998072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009417316002071676,"score_gpt":0.1920468781545818,"score_spread":0.1826295621525101,"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."}}