{"id":"W3137537252","doi":"10.5267/j.ijdns.2021.2.004","title":"Hospital digitalization in the era of industry 4.0 based on GHRM and service quality","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Service (business); Quality (philosophy); Business; Service quality; Human resources; Human resource management; Total quality management; Operations management; Tertiary sector of the economy; Marketing; Engineering; Knowledge management; Management; Computer science; Telecommunications; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00202714,0.0001575504,0.0001645375,0.001222376,0.0007837535,0.005264185,0.0003402347,0.0004430805,0.005142062],"category_scores_gemma":[0.006913856,0.0001230038,0.0004163857,0.002466643,0.00227923,0.003052254,0.002450853,0.001202819,0.0002835206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004599925,"about_ca_system_score_gemma":0.003454937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006044218,"about_ca_topic_score_gemma":0.007478549,"domain_scores_codex":[0.9970496,0.001137113,0.0002234543,0.0001953771,0.001044172,0.0003502782],"domain_scores_gemma":[0.9918708,0.002547447,0.003204735,0.000440633,0.001266791,0.0006695781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001820299,0.0005683101,0.541947,0.0008812028,0.0001720025,0.0007247087,0.01909686,0.003983343,0.001917385,0.1220863,0.01045247,0.2979884],"study_design_scores_gemma":[0.00001966989,0.0002537488,0.8798476,0.000788409,0.000110241,0.0005163173,0.03149568,0.006364456,0.002326469,0.02046781,0.05775029,0.00005932353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7894132,0.003056394,0.007102851,0.01896552,0.0001317734,0.0001545031,0.0003967157,0.0000817399,0.1806974],"genre_scores_gemma":[0.9953264,0.0009563318,0.001294544,0.0003424645,0.0000250423,0.00001494198,0.0000589669,0.000006998037,0.001974348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006044218,"threshold_uncertainty_score":0.03337497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350754590442926,"score_gpt":0.3055735139106501,"score_spread":0.2720659680062208,"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."}}