{"id":"W4390602345","doi":"10.5383/juspn.16.01.003","title":"DATABASE MANAGEMENT SYSTEM FOR SMART GYM USING IOT","year":2022,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Payment; Work (physics); Internet privacy; Management system; System administrator; Internet of Things; World Wide Web; Computer security; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026418,0.0008863955,0.001236074,0.00206169,0.001242036,0.00425285,0.003144566,0.00120697,0.01833649],"category_scores_gemma":[0.003158704,0.000616566,0.0006498626,0.001969095,0.0002934954,0.004167431,0.002031292,0.001156768,0.01221268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117789,"about_ca_system_score_gemma":0.001142685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860488,"about_ca_topic_score_gemma":0.001554916,"domain_scores_codex":[0.9978911,0.0002214306,0.0005033721,0.0005471648,0.000658123,0.0001787906],"domain_scores_gemma":[0.997847,0.0002915514,0.0001642638,0.0006979722,0.0007124305,0.0002868458],"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":[0.002494647,0.001286229,0.01607646,0.001684614,0.0004145876,0.001943898,0.001285126,0.003842905,0.06475482,0.01902088,0.3537831,0.5334127],"study_design_scores_gemma":[0.0007171826,0.0009243888,0.01819789,0.000475889,0.0005449046,0.003242056,0.0009412076,0.1428017,0.09227004,0.01841154,0.7209884,0.0004847767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04532876,0.008145302,0.5677538,0.003835789,0.002715581,0.002746776,0.02758109,0.2731915,0.06870143],"genre_scores_gemma":[0.5678477,0.005426318,0.2731576,0.005170137,0.001344784,0.00257183,0.06674019,0.004566077,0.07317543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01833649,"threshold_uncertainty_score":0.06134164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359831233932013,"score_gpt":0.2486462265440624,"score_spread":0.2250479142047422,"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."}}