{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006017241,0.0004119764,0.001334169,0.000098848,0.00008235769,0.0002010266,0.0003716714,0.0005949169,0.000003471501],"category_scores_gemma":[0.0007001613,0.000259803,0.0003265999,0.0001409103,0.00008534894,0.00001247321,0.0001199833,0.0001134475,0.00003148076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001931232,"about_ca_system_score_gemma":0.0001751714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.983536e-7,"about_ca_topic_score_gemma":0.000002996914,"domain_scores_codex":[0.9981949,0.00008238208,0.0009849379,0.0003026179,0.0001308536,0.0003042512],"domain_scores_gemma":[0.9986271,0.00005461711,0.0003918463,0.0007071807,0.00007174437,0.0001475741],"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":[0.00001130221,0.00002611165,7.804101e-7,0.4279236,0.00006732438,0.00000189439,0.0001740642,4.253426e-8,0.000002954478,0.00002903989,0.01040679,0.561356],"study_design_scores_gemma":[0.0001622302,0.0009380017,4.81588e-7,0.04843215,0.0002727548,0.00004724303,0.00002904792,0.00003531923,0.00001201558,0.000005541882,0.9496934,0.0003718249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003124349,0.9864216,0.01003984,0.00001479305,0.0002760704,0.002717904,0.0003976978,0.00002440634,0.0000764139],"genre_scores_gemma":[0.000004174585,0.957733,0.03835145,0.0005202416,0.0004312125,0.0005570047,0.001554157,0.00003440094,0.0008143737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9392866,"threshold_uncertainty_score":0.9999854,"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."}}