{"id":"W2008502184","doi":"10.2196/medinform.3037","title":"Increased Workload for Systematic Review Literature Searches of Diagnostic Tests Compared With Treatments: Challenges and Opportunities","year":2014,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Computer science; Workload; Class (philosophy); Metadata; Information retrieval; MEDLINE; Data science; Medical literature; Medical physics; Data mining; Medicine; Artificial intelligence; Pathology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4938367,0.002849977,0.008880286,0.03135119,0.004286771,0.01628121,0.007439769,0.004835872,0.008253386],"category_scores_gemma":[0.8113317,0.003984847,0.006804817,0.02788908,0.006719727,0.01550003,0.01065243,0.004992312,0.003428019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02021486,"about_ca_system_score_gemma":0.04415426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009331028,"about_ca_topic_score_gemma":0.02159117,"domain_scores_codex":[0.2727146,0.503165,0.1204674,0.02103341,0.07910666,0.003512858],"domain_scores_gemma":[0.04187252,0.8241874,0.06289066,0.02188058,0.04322833,0.005940566],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003308308,0.0004629747,0.03705728,0.1920278,0.006968584,0.001485504,0.0164306,0.003927069,0.005117639,0.01401329,0.08478966,0.6344113],"study_design_scores_gemma":[0.003388144,0.002713664,0.1695112,0.2523664,0.01271079,0.01341831,0.03641782,0.03616753,0.005263843,0.1700107,0.2962759,0.001755645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08979192,0.2627906,0.1636129,0.4050293,0.01225868,0.02327634,0.01310666,0.004172673,0.02596088],"genre_scores_gemma":[0.3109799,0.09000943,0.4655217,0.06075923,0.01333288,0.04507452,0.009498142,0.001909215,0.002914959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5061634,"threshold_uncertainty_score":0.6241895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5498106847565031,"score_gpt":0.4770133358941782,"score_spread":0.07279734886232492,"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."}}