{"id":"W7132256313","doi":"","title":"Ontology-based Model for Human Resources Recruitment","year":2022,"lang":"","type":"dissertation","venue":"Bulgarian Portal for Open Science","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resources; Government (linguistics); Work (physics); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002801101,0.0007623839,0.0007736834,0.003436603,0.002108581,0.005737287,0.002409486,0.002760846,0.01118489],"category_scores_gemma":[0.004792539,0.0006274218,0.002593858,0.004155328,0.001568857,0.006311723,0.003625926,0.001896255,0.003249367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004497293,"about_ca_system_score_gemma":0.007228684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04015904,"about_ca_topic_score_gemma":0.04134572,"domain_scores_codex":[0.9972249,0.001031026,0.0003304603,0.0004262999,0.0007793948,0.0002079059],"domain_scores_gemma":[0.9984064,0.0007277496,0.0001259449,0.0002233484,0.0003622167,0.0001545231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001252273,0.0001919329,0.001822565,0.0006259422,0.0001287493,0.0008789781,0.002013377,0.05617687,0.001768613,0.8427563,0.01559595,0.07791554],"study_design_scores_gemma":[0.00007512981,0.00005204716,0.001247102,0.0003369867,0.0001512943,0.0004533813,0.001470362,0.2485478,0.001491136,0.5073717,0.2386987,0.0001043667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009153366,0.0009645374,0.9028555,0.005472179,0.000345885,0.0008331282,0.004279329,0.002314498,0.07378167],"genre_scores_gemma":[0.2117984,0.002092927,0.7355989,0.0008844784,0.0001069112,0.001731282,0.006549862,0.0003747057,0.04086258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04015904,"threshold_uncertainty_score":0.07985061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357839017690955,"score_gpt":0.3820682554751131,"score_spread":0.2462843537060176,"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."}}