{"id":"W2135514614","doi":"10.1016/s1386-5056(03)00071-6","title":"Applying methodology to electronic medical record selection","year":2003,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton; St. Joseph's Hospital; McMaster University","funders":"","keywords":"Usability; Vendor; Quality (philosophy); Multidisciplinary approach; Data extraction; Strengths and weaknesses; Process (computing); Computer science; Product (mathematics); Clinical decision support system; Health care; Process management; Decision support system; Knowledge management; MEDLINE; Data mining; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03984456,0.0005627997,0.000730972,0.00554393,0.001630516,0.004102153,0.001667711,0.001291017,0.004655534],"category_scores_gemma":[0.1697536,0.0006158239,0.001241012,0.005850011,0.001378667,0.002727254,0.003383076,0.001589332,0.001055425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065096,"about_ca_system_score_gemma":0.004583442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940862,"about_ca_topic_score_gemma":0.002911174,"domain_scores_codex":[0.9428117,0.04608455,0.003038748,0.001969664,0.005570148,0.0005252218],"domain_scores_gemma":[0.7962802,0.1738017,0.006183441,0.01056787,0.0121112,0.001055599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002820436,0.0005527309,0.05331437,0.0009758909,0.0005654315,0.0004322771,0.002686115,0.008520724,0.004225243,0.05910385,0.005939987,0.8634014],"study_design_scores_gemma":[0.0004984397,0.001089606,0.03037028,0.001076812,0.0005371515,0.002545775,0.004487969,0.4424664,0.01604024,0.4339475,0.06668092,0.0002588331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01306367,0.0001959531,0.983148,0.0005966139,0.0001167775,0.0003900574,0.0001514744,0.0005550515,0.001782365],"genre_scores_gemma":[0.1140892,0.0002047897,0.8827577,0.0003553766,0.00009222431,0.0006638131,0.0003479729,0.0001291546,0.001359879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03984456,"threshold_uncertainty_score":0.2107207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264823360380973,"score_gpt":0.5236657816799607,"score_spread":0.3971834456418634,"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."}}