{"id":"W4294146800","doi":"10.15210/reat.v16i2.1775","title":"A INFLUÊNCIA DO CAPITAL HUMANO NA QUALIDADE DE SERVIÇOS","year":2022,"lang":"pt","type":"article","venue":"Revista Eletrônica de Administração e Turismo - ReAT","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"InterDigital (Canada)","funders":"","keywords":"Statistical software; Humanities; Business; Computer science; Mathematics; Statistics; Philosophy","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":[0.002085135,0.0002441588,0.0002834925,0.001322434,0.001052851,0.003297056,0.0003455917,0.0003718463,0.005556337],"category_scores_gemma":[0.008286298,0.0001583556,0.0002689704,0.001830122,0.001648504,0.001066374,0.002030611,0.0004938462,0.0003866569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619524,"about_ca_system_score_gemma":0.003354568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452803,"about_ca_topic_score_gemma":0.02267653,"domain_scores_codex":[0.9986579,0.0004395896,0.00006677322,0.0001352267,0.0004295847,0.0002708602],"domain_scores_gemma":[0.9925936,0.003550529,0.001525672,0.0004143627,0.0009120774,0.001003775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002350496,0.0003047389,0.8319755,0.0003518739,0.0001326118,0.0006672546,0.02265149,0.001769218,0.002567017,0.02271863,0.001187107,0.1154395],"study_design_scores_gemma":[0.000008554324,0.0001883479,0.9659883,0.0001738737,0.00006135581,0.0002158524,0.01584493,0.001530534,0.000807585,0.003553496,0.01160802,0.00001903599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690258,0.0004910223,0.0008378312,0.0004715091,0.00001060603,0.00003597814,0.0001394156,0.000008272322,0.0289796],"genre_scores_gemma":[0.9979587,0.0002121307,0.0002936185,0.00001992744,0.000003135468,0.000008486765,0.00002674194,0.000001574587,0.001475779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452803,"threshold_uncertainty_score":0.02888697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680555762454135,"score_gpt":0.3629868213076187,"score_spread":0.2961812636830774,"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."}}