{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00550453,0.00009338394,0.0001279119,0.002293397,0.0003527799,0.0001286648,0.0008905002,0.000052581,0.000003348873],"category_scores_gemma":[0.0001636529,0.00009652044,0.00001974242,0.001226965,0.0001212673,0.00008259497,0.0001642053,0.0008833337,0.000003954423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009894728,"about_ca_system_score_gemma":0.00009064903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001539537,"about_ca_topic_score_gemma":0.000006705791,"domain_scores_codex":[0.9981336,0.00001892658,0.0002444122,0.0002024373,0.0009055942,0.0004950092],"domain_scores_gemma":[0.999348,0.0001966657,0.0000217003,0.0001250315,0.0002320435,0.00007659367],"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":[0.0002773897,0.00009057552,0.006816347,0.0001582404,0.0001051898,0.0002564023,0.0004955792,0.6160029,0.1296875,0.1103366,0.002622941,0.1331503],"study_design_scores_gemma":[0.002686611,0.0006078818,0.01981788,0.0003115908,0.000003939854,0.0008185334,0.002403792,0.9144788,0.01492268,0.003001032,0.04020293,0.0007442621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880536,0.0002538251,0.00508359,0.0007848258,0.003624798,0.0005226928,0.00004766327,0.0004096256,0.001219364],"genre_scores_gemma":[0.9994559,0.00001746408,0.0002338231,0.000009025358,0.0001136525,0.0001349556,0.00000291665,0.00002059425,0.00001162731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.298476,"threshold_uncertainty_score":0.3935989,"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."}}