{"id":"W2531792914","doi":"","title":"The Romanian context: specificity and challenges of human resources in tourism","year":2014,"lang":"en","type":"article","venue":"Journal of Medicine and Life","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Competence (human resources); Tourism; Competitive advantage; Human resources; Marketing; Quality (philosophy); Human resource management; Knowledge management; Openness to experience; Promotion (chess); Context (archaeology); Public relations; Economics; Political science; Management; Computer science","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":[0.001225891,0.0001856113,0.0002745044,0.001221608,0.002166579,0.004754106,0.0003498057,0.0004647733,0.006323841],"category_scores_gemma":[0.001221765,0.0001407714,0.0001433714,0.00259701,0.003811049,0.001316916,0.001890776,0.000862139,0.0004113892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760089,"about_ca_system_score_gemma":0.00317939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007618322,"about_ca_topic_score_gemma":0.01056499,"domain_scores_codex":[0.9987906,0.0007396778,0.00005112187,0.00009239698,0.0001195186,0.000206806],"domain_scores_gemma":[0.9994367,0.000289191,0.00008957968,0.00003673861,0.00007156758,0.00007615344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000169441,0.0001691185,0.034818,0.002237002,0.0000530421,0.008693737,0.0986871,0.002096777,0.001337348,0.6728776,0.01749552,0.1613654],"study_design_scores_gemma":[0.00001906678,0.0001220477,0.1545609,0.0030256,0.00002660427,0.003840542,0.2110152,0.001060925,0.0006829525,0.02652043,0.5990759,0.00004970958],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5272024,0.02685733,0.001983487,0.01225134,0.0004426115,0.00007064145,0.0002870676,0.00001702953,0.4308881],"genre_scores_gemma":[0.9902145,0.004307253,0.0004684215,0.0004011077,0.00007468445,0.00001251566,0.00004840586,0.00000689864,0.004466322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007618322,"threshold_uncertainty_score":0.02115536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524573446338924,"score_gpt":0.2482464876834813,"score_spread":0.203000753220092,"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."}}