{"id":"W1568128959","doi":"10.1177/183335831104000303","title":"Dual vs. Single Computer Monitor in a Canadian Hospital Archiving Department: A Study of Efficiency and Satisfaction","year":2011,"lang":"en","type":"article","venue":"Health Information Management Journal","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Archivist; Computer science; Context (archaeology); Medicine; Coding (social sciences); Medical record; Dual (grammatical number); Turnaround time; Medical emergency; Surgery; Statistics; Operating system","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":[0.007943174,0.0002631911,0.0005780397,0.002120844,0.002022122,0.002152625,0.001105466,0.0005929676,0.002117473],"category_scores_gemma":[0.04129337,0.0003671591,0.0007856539,0.003594668,0.001457445,0.000906532,0.001124934,0.0007462198,0.0001933228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01512778,"about_ca_system_score_gemma":0.01136696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5185047,"about_ca_topic_score_gemma":0.4969743,"domain_scores_codex":[0.9895155,0.002303789,0.0008260168,0.0006561397,0.005293131,0.001405373],"domain_scores_gemma":[0.9715908,0.01061089,0.005370694,0.0007047603,0.007688287,0.004034552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002066977,0.0008928814,0.9396926,0.0001326133,0.0001635825,0.0001403386,0.01418966,0.0002171612,0.0007187026,0.0001668334,0.0008551282,0.0407634],"study_design_scores_gemma":[0.00006395814,0.001220049,0.9871883,0.0000305875,0.00004658142,0.000085991,0.009613831,0.0005408929,0.000189488,0.00002536247,0.0009527404,0.00004226915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983112,0.0001140857,0.00008402742,0.00009609025,0.000005960024,0.00003561088,0.000121069,0.000003777317,0.001228297],"genre_scores_gemma":[0.9989801,0.00009853096,0.0002440414,0.00007941694,0.000008390536,0.00002140671,0.0001152045,0.000006422863,0.000446471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185047,"threshold_uncertainty_score":0.9686618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09938147825034553,"score_gpt":0.3672412572598444,"score_spread":0.2678597790094988,"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."}}