{"id":"W4323240739","doi":"10.5220/0011919500003396","title":"Personnel Data Management System for Workforce Analytics","year":2023,"lang":"en","type":"article","venue":"","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence","funders":"","keywords":"Workforce; Analytics; Computer science; Workforce management; Data analysis; Data science; Human resource management; Data management; Knowledge management; Data mining; Political science","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":[0.002051414,0.0008189724,0.0008532116,0.003593317,0.0007923341,0.002433133,0.001395769,0.0005724999,0.04702833],"category_scores_gemma":[0.006799966,0.0005195205,0.0005262282,0.003033356,0.0002055169,0.00184816,0.001909486,0.001198465,0.03445823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008767324,"about_ca_system_score_gemma":0.002383413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498912,"about_ca_topic_score_gemma":0.003558836,"domain_scores_codex":[0.9989815,0.0001262893,0.0001952262,0.0002259649,0.000356549,0.0001144499],"domain_scores_gemma":[0.9961993,0.0007498719,0.000338766,0.001211077,0.0009920064,0.0005089973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001143315,0.0006169294,0.02602409,0.0006265099,0.0001571469,0.0002173432,0.0005200157,0.002046102,0.01607368,0.005720347,0.6528044,0.2940501],"study_design_scores_gemma":[0.0004616048,0.0003818588,0.05939072,0.0003335861,0.0002089911,0.0003561027,0.0004479908,0.06973206,0.05902756,0.00869546,0.8007091,0.0002550659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03437649,0.0005639641,0.1589255,0.001974141,0.000825904,0.002166906,0.3428459,0.4116352,0.04668593],"genre_scores_gemma":[0.2496895,0.000814597,0.1699219,0.002557654,0.0005794162,0.003825243,0.4992238,0.01220681,0.06118109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04702833,"threshold_uncertainty_score":0.1573254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131122512890594,"score_gpt":0.2794506738768132,"score_spread":0.1663384225877538,"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."}}