{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00547328,0.0008296217,0.00104823,0.001119602,0.008728416,0.00475708,0.006626928,0.0003022659,0.001296151],"category_scores_gemma":[0.0006140893,0.0008710988,0.0005396878,0.001382243,0.0005636933,0.002467935,0.001077947,0.0004218079,0.00003924425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577758,"about_ca_system_score_gemma":0.001274134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216283,"about_ca_topic_score_gemma":0.00693143,"domain_scores_codex":[0.9932497,0.00002214984,0.001377401,0.002541813,0.001262674,0.001546238],"domain_scores_gemma":[0.995919,0.0001605021,0.00181697,0.001141199,0.0008313761,0.0001308763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009928458,0.004286325,0.009993597,0.008955271,0.0007258983,0.0001095844,0.01123989,0.03967805,0.006852621,0.7262649,0.1541179,0.02784749],"study_design_scores_gemma":[0.008860238,0.0007666069,0.002624223,0.000939184,0.001300563,0.000006146488,0.007979837,0.5414196,0.0004327599,0.03992506,0.3922339,0.003511903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5908463,0.001284008,0.0267004,0.009139443,0.0238532,0.08338982,0.001921041,0.0008387855,0.262027],"genre_scores_gemma":[0.9099342,0.000007026917,0.004044682,0.002843112,0.0007994148,0.01016394,0.005223668,0.0002118265,0.06677212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6863399,"threshold_uncertainty_score":0.9996168,"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."}}