{"id":"W2479695803","doi":"10.4018/978-1-61520-777-0.ch027","title":"Technology and Human Resources Management in Health Care","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Functional illiteracy; Information and Communications Technology; Business; Telehealth; Health care; Knowledge management; Isolation (microbiology); Rural area; Quality (philosophy); Telemedicine; Nursing; Medicine; World Wide Web; Computer science; Economic growth; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000209639,0.0004217105,0.0006471498,0.001057138,0.0002546706,0.0001165221,0.000408939,0.0009820439,0.00002387663],"category_scores_gemma":[0.000007611726,0.0004282546,0.0000713444,0.0001005706,0.0002145459,0.00006137706,0.0006050015,0.0007447425,0.00009867996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198643,"about_ca_system_score_gemma":0.00004062994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724541,"about_ca_topic_score_gemma":0.01823612,"domain_scores_codex":[0.9979085,0.000005565453,0.0006457976,0.0006738116,0.0002316841,0.0005346931],"domain_scores_gemma":[0.9988285,0.000004927667,0.0004602181,0.0005883212,0.00008839494,0.00002957883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005590383,0.000004690169,0.0005890296,0.001001933,0.00002666847,0.0001152744,0.00002391225,4.356873e-8,0.000002434944,0.9396845,0.0003757795,0.05817021],"study_design_scores_gemma":[0.0003106969,0.00002501056,0.0002787275,0.0003830942,0.00001427986,0.00001304056,0.0001907535,4.668586e-7,6.237944e-7,0.300127,0.6983895,0.0002668537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008875974,0.00146853,0.000004771909,0.001854572,0.0003664521,0.0009256859,0.00001512758,0.0004606648,0.9860282],"genre_scores_gemma":[0.9706666,0.00001652365,0.0003236358,0.002327422,0.0007894335,0.00007570937,0.00001352502,0.00009586026,0.02569124],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9617907,"threshold_uncertainty_score":0.999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305361200172982,"score_gpt":0.2553232639020835,"score_spread":0.2422696519003537,"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."}}