{"id":"W1964997359","doi":"10.1017/s0266462305050166","title":"Cost-effectiveness analysis of medical documentation alternatives","year":2005,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Documentation; Information system; Operations management; Health informatics; Medicine; Population; Medical emergency; Computer science; Public health; Engineering; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01390429,0.001486765,0.002406947,0.005166971,0.0003258879,0.002068233,0.001440126,0.001431962,0.006559854],"category_scores_gemma":[0.05813901,0.0004881448,0.004620825,0.003119816,0.0007406274,0.001598941,0.0008327371,0.001150437,0.0001547076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009706591,"about_ca_system_score_gemma":0.004218209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006492177,"about_ca_topic_score_gemma":0.004515081,"domain_scores_codex":[0.9708335,0.02323192,0.001140544,0.0007658728,0.003388759,0.000639407],"domain_scores_gemma":[0.9400111,0.05360053,0.003283659,0.0007511386,0.001838682,0.0005150061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07189893,0.004353949,0.0165617,0.03494333,0.02400893,0.0005649417,0.0002999333,0.369794,0.001176127,0.0249581,0.002924004,0.448516],"study_design_scores_gemma":[0.05692308,0.1035005,0.07939221,0.02373345,0.08817636,0.002917675,0.001866361,0.554174,0.007401056,0.05638992,0.02476256,0.0007628678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7495959,0.1712296,0.03259489,0.003719144,0.0007222049,0.008174578,0.004642992,0.0002193505,0.02910129],"genre_scores_gemma":[0.9827721,0.008230292,0.006942439,0.0001432805,0.00007778681,0.0009644167,0.0003676189,0.000008299705,0.0004937591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390429,"threshold_uncertainty_score":0.07353377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05892750584799718,"score_gpt":0.5787696835109192,"score_spread":0.519842177662922,"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."}}