{"id":"W2949926253","doi":"10.1093/bioinformatics/bty722","title":"Adjutant: an R-based tool to support topic discovery for systematic and literature reviews","year":2018,"lang":"en","type":"review","venue":"Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Systematic review; Computer science; Data science; Information retrieval; MEDLINE; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01793446,0.003643312,0.005274777,0.02402931,0.001671691,0.006542862,0.004292339,0.001603045,0.1582192],"category_scores_gemma":[0.1112799,0.002698137,0.007736541,0.02153915,0.001311116,0.004108263,0.007095552,0.002705839,0.06761907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283097,"about_ca_system_score_gemma":0.01527567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137798,"about_ca_topic_score_gemma":0.006434379,"domain_scores_codex":[0.9877937,0.005186215,0.002710031,0.002217664,0.001700469,0.0003919336],"domain_scores_gemma":[0.8898902,0.08118626,0.0111323,0.006590549,0.009166508,0.002034129],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001760747,0.00008256655,0.004868162,0.15737,0.005373482,0.001332593,0.001890561,0.003027391,0.008014574,0.01522986,0.6560282,0.1450219],"study_design_scores_gemma":[0.00198812,0.0003007668,0.00749222,0.01467464,0.005549242,0.001956555,0.0004637661,0.01174222,0.00853753,0.04060745,0.9060903,0.0005970789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004347754,0.01309428,0.200396,0.003793987,0.001855098,0.006928568,0.4873695,0.2667937,0.01542102],"genre_scores_gemma":[0.02505633,0.007654082,0.7150134,0.001784042,0.000600205,0.03106878,0.1632545,0.04496195,0.01060673],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9820656,"threshold_uncertainty_score":0.5292958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961544002561298,"score_gpt":0.3508484078449882,"score_spread":0.3012329678193753,"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."}}