{"id":"W1995444879","doi":"10.1287/ited.2013.0110ca","title":"<b>Case Article</b>—Acusis: Medical Transcription Outsourcing","year":2013,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Outsourcing; Transcription (linguistics); Procurement; Computer science; Business; Operations management; Medical education; Knowledge management; Public relations; Marketing; Medicine; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007442222,0.0003890724,0.0002233836,0.0008389417,0.00501812,0.001675046,0.0008961637,0.005630441,0.01854939],"category_scores_gemma":[0.006714341,0.0002100649,0.0004219949,0.001255395,0.001966007,0.001657045,0.00181382,0.003368288,0.003569937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947909,"about_ca_system_score_gemma":0.001905117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007235459,"about_ca_topic_score_gemma":0.008002756,"domain_scores_codex":[0.9987093,0.0004553739,0.0001076103,0.0001130223,0.0003099374,0.0003047633],"domain_scores_gemma":[0.9978429,0.0009875243,0.0003409803,0.0001346825,0.0002521403,0.0004416086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0002009054,0.0005070932,0.0138102,0.000484415,0.00001806363,0.4488923,0.02477702,0.0008708263,0.002344224,0.04940603,0.4027298,0.0559591],"study_design_scores_gemma":[0.00002355324,0.0001292883,0.005945559,0.0006030686,0.00001454761,0.5329291,0.02394549,0.001641293,0.003062951,0.007288055,0.4243631,0.00005405218],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2854124,0.003477457,0.02227324,0.2712367,0.009209903,0.0009876724,0.001028305,0.0007573273,0.405617],"genre_scores_gemma":[0.8724291,0.002757818,0.01064315,0.05154369,0.003253289,0.0003829896,0.0003388667,0.0001962187,0.05845487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01854939,"threshold_uncertainty_score":0.06205386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810485384789476,"score_gpt":0.4230902420561912,"score_spread":0.3549853882082964,"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."}}