{"id":"W1563297608","doi":"","title":"AN INVISIBLE NETWORK OF KNOWLEDGE PRODUCTION: 10 YEARS OF HUMAN RESOURCES MANAGEMENT STUDIES","year":2007,"lang":"en","type":"article","venue":"","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Knowledge management; Human resources; Human resource management; Data science; Citation; Citation analysis; Field (mathematics); Strategic human resource planning; Computer science; Political science; World Wide Web","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005444457,0.0002879957,0.0004049228,0.01758637,0.002793604,0.008743458,0.0009976237,0.001389381,0.00303674],"category_scores_gemma":[0.02068208,0.0003410811,0.0003830118,0.02569891,0.006149736,0.01837046,0.00355218,0.0009130081,0.000244528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004900362,"about_ca_system_score_gemma":0.002692531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00938526,"about_ca_topic_score_gemma":0.01049142,"domain_scores_codex":[0.9967477,0.001424151,0.0002296352,0.0005430617,0.000783516,0.0002718245],"domain_scores_gemma":[0.9744936,0.01857572,0.003311875,0.001269936,0.001507121,0.0008417636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000174099,0.0001313734,0.1683871,0.001619269,0.000196569,0.0008470252,0.1216211,0.004141096,0.0007686077,0.3595067,0.005601702,0.3370054],"study_design_scores_gemma":[0.00003284954,0.0001992209,0.2779473,0.004534711,0.0002070904,0.001298268,0.1522399,0.01715186,0.001105185,0.2892412,0.255887,0.0001554169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7429857,0.04832845,0.03794785,0.02107866,0.0003547602,0.0001377156,0.001102908,0.0001477313,0.1479162],"genre_scores_gemma":[0.9824311,0.01026356,0.004840149,0.0002604923,0.0001103807,0.00005499818,0.0002966526,0.00002591375,0.001716754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9824136,"threshold_uncertainty_score":0.03555483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04435630712497307,"score_gpt":0.3026790360383041,"score_spread":0.258322728913331,"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."}}