{"id":"W4281658682","doi":"10.22214/ijraset.2022.43435","title":"Survey on Employee Tracking System","year":2022,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Computer science; Bar chart; Java; Android (operating system); Tracking system; Attendance; Information system; Database; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003063348,0.0001553601,0.0002562365,0.00170999,0.000547141,0.0008769584,0.0003156035,0.0004081411,0.004193798],"category_scores_gemma":[0.008344178,0.0001416333,0.0002959464,0.001652035,0.000191581,0.0008279473,0.0005666891,0.0005949062,0.001552839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007579409,"about_ca_system_score_gemma":0.0009328115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606432,"about_ca_topic_score_gemma":0.002382203,"domain_scores_codex":[0.9963995,0.001030925,0.0004504384,0.0003274054,0.001323677,0.0004679724],"domain_scores_gemma":[0.9903558,0.002819686,0.001778584,0.0002795325,0.004179721,0.0005867473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001465444,0.0004478934,0.8313278,0.0007868222,0.00004630346,0.0002397023,0.005760427,0.0002776224,0.001843775,0.0004471627,0.01072162,0.1479543],"study_design_scores_gemma":[0.000007217452,0.0009093324,0.9411381,0.0003701028,0.00004241811,0.0005177541,0.01159805,0.0008031856,0.001813355,0.0001167082,0.04264346,0.00004037713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784672,0.001886261,0.0022218,0.0009764675,0.00008047238,0.0002597715,0.002312403,0.0001036986,0.01369186],"genre_scores_gemma":[0.9878734,0.001840921,0.001455603,0.0004493413,0.0000428736,0.0001803287,0.001612752,0.00001622959,0.006528566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004193798,"threshold_uncertainty_score":0.01620072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06934710447364806,"score_gpt":0.3575387845314816,"score_spread":0.2881916800578336,"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."}}