{"id":"W2092162286","doi":"10.12927/hcq.2007.19320","title":"Impact of Information Technology on Human Resources in Healthcare","year":2007,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Information and Communications Technology; Human resources; Health care; Information technology; Human resource management; Best practice; Knowledge management; Marketing; Economic growth; Management; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001495644,0.0002067494,0.0006420037,0.001847524,0.0001283219,0.00002334703,0.0002369105,0.0004524998,0.00002325365],"category_scores_gemma":[0.00003618326,0.0001851705,0.0001511744,0.0009170785,0.00006381695,0.0002971021,0.00001289387,0.0004787905,0.0001795899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006507637,"about_ca_system_score_gemma":0.0001080629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08472461,"about_ca_topic_score_gemma":0.006043939,"domain_scores_codex":[0.9969689,0.00003693952,0.001899712,0.0003017639,0.00009366671,0.0006990794],"domain_scores_gemma":[0.9983519,0.00002369032,0.0007877661,0.0005009631,0.00011665,0.0002190621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007940113,0.0001030761,0.6913642,0.0005320082,0.00001914337,0.00000923803,0.006269237,0.000004817973,0.00001214652,0.1863632,0.0000707613,0.1151728],"study_design_scores_gemma":[0.0006869505,0.004385052,0.970051,0.0001814972,3.605743e-7,0.00001303747,0.001570583,0.00001523972,0.00001194063,0.01982187,0.003033656,0.0002288293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897018,0.0007818863,0.0001977707,0.006116454,0.0003056909,0.0005563249,0.000138425,0.00007424017,0.002127415],"genre_scores_gemma":[0.9993275,0.00002928214,0.0001100657,0.0003111536,0.0001034426,0.0000226761,0.00003195746,0.00002067336,0.00004320125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2786868,"threshold_uncertainty_score":0.9213703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110010334289987,"score_gpt":0.3173625445386185,"score_spread":0.2862624411957186,"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."}}