{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008731009,0.0001700531,0.000383098,0.0001523131,0.0006872779,0.0001648405,0.0008087704,0.00004978163,8.318781e-7],"category_scores_gemma":[0.000007426265,0.0001488078,0.0001153845,0.0002929342,0.00002424312,0.0001435031,0.0009046833,0.0003228768,1.674509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014239,"about_ca_system_score_gemma":0.0000365345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000182636,"about_ca_topic_score_gemma":8.992761e-7,"domain_scores_codex":[0.9983731,0.00007360007,0.0005818391,0.000282091,0.0003260343,0.0003633265],"domain_scores_gemma":[0.9985469,0.0001505913,0.000722085,0.0003558204,0.0001347023,0.00008988383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006006881,0.00005667278,0.0001498929,0.0004562383,0.0001841503,0.0003926897,0.0002009054,0.8345263,0.0003623928,0.1155328,0.001811877,0.04626604],"study_design_scores_gemma":[0.0008553967,0.0003891286,0.00002022577,0.0003283025,0.00005350821,0.002262306,0.004058316,0.9653488,0.00004320918,0.0004505503,0.02593885,0.0002514322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02603232,0.004413886,0.966328,0.0001010697,0.002507266,0.0004310903,0.000007723465,0.00007448353,0.0001041907],"genre_scores_gemma":[0.9385554,0.00009870732,0.06065629,0.00007685164,0.0005120567,0.00003512423,0.000001452899,0.000018839,0.00004530226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.912523,"threshold_uncertainty_score":0.6068208,"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."}}