{"id":"W4382072433","doi":"10.59934/jaiea.v2i3.210","title":"Distribution Of Lightweight File Delivery Using IoT","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Volt; Robot; Microcontroller; Android (operating system); Computer science; Voltage; Motor controller; Computer hardware; Embedded system; DC motor; Electrical engineering; Simulation; Engineering; Real-time computing; Power (physics); Operating system; Artificial intelligence","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":[0.0002524258,0.0003368589,0.0004677918,0.0009108576,0.0005203206,0.0007362914,0.0008689943,0.000373734,0.01022179],"category_scores_gemma":[0.0006774383,0.0001548962,0.0002876252,0.0008560132,0.0001855319,0.001296242,0.0008093775,0.0003091688,0.003046977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003783238,"about_ca_system_score_gemma":0.000190879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005877998,"about_ca_topic_score_gemma":0.0004614967,"domain_scores_codex":[0.999655,0.00002743511,0.00003560618,0.00005944556,0.000164708,0.00005774941],"domain_scores_gemma":[0.999408,0.00008278668,0.0000636809,0.000150872,0.0002462359,0.0000483188],"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":[0.00100781,0.0003465029,0.007248541,0.000829068,0.00007095672,0.001619311,0.0005334648,0.004400399,0.2466449,0.008388939,0.07014872,0.6587614],"study_design_scores_gemma":[0.00039469,0.001558785,0.0286755,0.0003376081,0.0002649837,0.007073582,0.0006558019,0.1506688,0.4270394,0.005519289,0.3774592,0.0003525037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2151732,0.002274623,0.6685216,0.001304496,0.001028019,0.001007327,0.002636619,0.03551945,0.07253475],"genre_scores_gemma":[0.8789812,0.0007993117,0.06669939,0.0006172116,0.000318986,0.0003954571,0.001838055,0.0007759041,0.04957446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022179,"threshold_uncertainty_score":0.03419524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683425105770378,"score_gpt":0.2440816481737922,"score_spread":0.2172473971160884,"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."}}