{"id":"W2605730164","doi":"10.1007/s40037-017-0346-0","title":"Tuning your writing","year":2017,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Medical education; Data science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006897284,0.00007904334,0.0000865394,0.00008180735,0.001747173,0.001816898,0.0006776068,0.0000506932,0.001863975],"category_scores_gemma":[0.005912314,0.0000705648,0.000043018,0.00001223769,0.0002749538,0.001077048,0.00006752536,0.0004332715,0.0001132104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009001933,"about_ca_system_score_gemma":0.0003210905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006065693,"about_ca_topic_score_gemma":0.0001390479,"domain_scores_codex":[0.9990938,0.00007467729,0.0001386272,0.0001864531,0.0003707413,0.000135748],"domain_scores_gemma":[0.9988278,0.00007666489,0.0001392293,0.0005978351,0.0002232188,0.0001352581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007025337,0.0002953789,0.0007134657,0.00000561426,0.00001129655,5.216517e-7,0.1253785,1.645871e-7,0.000009437014,0.7993705,0.006668063,0.06754008],"study_design_scores_gemma":[0.0005773025,0.0001349859,0.03384986,0.0004980937,0.0000265838,0.00000723922,0.5472975,0.0009422392,0.0000184654,0.01787483,0.3983527,0.0004202952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2742052,0.0005418072,0.00005927092,0.04489824,0.0011748,0.00008517248,0.000002168246,0.0001050621,0.6789283],"genre_scores_gemma":[0.9923633,0.0000830373,0.0001300461,0.0006966265,0.001803812,0.00002148483,0.00001307714,0.0000108907,0.00487774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7814956,"threshold_uncertainty_score":0.9995524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06221326845872246,"score_gpt":0.3516421190792998,"score_spread":0.2894288506205773,"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."}}