{"id":"W2185864713","doi":"10.2196/resprot.4922","title":"Human Resource Information Systems in Health Care: Protocol for a Systematic Review","year":2015,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Knowledge management; Scope (computer science); eHealth; Health care; Information system; Human resource management system; Systematic review; Protocol (science); Analytics; Business; Human resources; Resource (disambiguation); Human resource management; Medicine; Computer science; MEDLINE; Data science; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09024366,0.005434562,0.01762889,0.01628544,0.00556686,0.01013503,0.004981206,0.006803664,0.09051671],"category_scores_gemma":[0.1258161,0.005749581,0.01379064,0.01977172,0.006036843,0.009785142,0.005969622,0.009272573,0.01146531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01939435,"about_ca_system_score_gemma":0.08221429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009548597,"about_ca_topic_score_gemma":0.01778291,"domain_scores_codex":[0.9346315,0.02858142,0.02025406,0.005733154,0.007554683,0.0032452],"domain_scores_gemma":[0.9023481,0.03787575,0.01730575,0.01095619,0.02822525,0.00328893],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.004502229,0.0003262009,0.0006848216,0.8927173,0.001904988,0.0005660182,0.003132839,0.001217159,0.00124073,0.007881384,0.04986025,0.03596616],"study_design_scores_gemma":[0.02551381,0.00177443,0.00530818,0.6441243,0.005711181,0.0005621123,0.004909499,0.001448066,0.00194259,0.01539622,0.2927258,0.0005837066],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002549828,0.00144719,0.001182677,0.0003335983,0.0002886038,0.9909676,0.004821159,0.00008296821,0.0006212189],"genre_scores_gemma":[0.0002923877,0.0006617541,0.0027888,0.0001248955,0.00001934898,0.9954939,0.0003790944,0.000009944598,0.0002299911],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9097564,"threshold_uncertainty_score":0.4772598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4247024846641354,"score_gpt":0.5862847083379266,"score_spread":0.1615822236737912,"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."}}