{"id":"W4391903388","doi":"10.24251/hicss.2023.755","title":"Introduction to the Minitrack on Socio-Technical Issues in Organizational Information Technologies","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Knowledge management; Resource management (computing); Human resource management; Data 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":[0.002559844,0.0009372446,0.001185333,0.005214384,0.002062593,0.007468193,0.001658737,0.003478429,0.04915678],"category_scores_gemma":[0.006775307,0.0005960447,0.0008376521,0.006584564,0.002153163,0.0102954,0.003173564,0.007400544,0.02087206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881607,"about_ca_system_score_gemma":0.002246769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002077805,"about_ca_topic_score_gemma":0.006662264,"domain_scores_codex":[0.9987358,0.0002840064,0.0001554716,0.000160154,0.000538372,0.0001261129],"domain_scores_gemma":[0.989433,0.006480943,0.0004402433,0.0004528237,0.002310959,0.000882104],"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":[0.00002224064,0.00005522104,0.0003047649,0.0008308573,0.000008949042,0.00006175647,0.000323625,0.0001038101,0.000654369,0.02043533,0.8491913,0.1280078],"study_design_scores_gemma":[0.000003012747,0.0000220898,0.0004256109,0.0006110127,0.000004283178,0.0001119451,0.0001599047,0.00009861941,0.00009379374,0.005350423,0.9931076,0.00001171444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.001674933,0.4599156,0.02525439,0.1730364,0.2425943,0.0002069617,0.001194212,0.0007731134,0.09535014],"genre_scores_gemma":[0.01121692,0.3565241,0.01890291,0.07121314,0.2797887,0.0003877627,0.002087053,0.001070286,0.2588092],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04915678,"threshold_uncertainty_score":0.1644458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412516630495215,"score_gpt":0.2817621506526996,"score_spread":0.2476369843477474,"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."}}