{"id":"W3169933308","doi":"10.1016/j.jclinepi.2021.05.019","title":"Resource use during systematic review production varies widely: a scoping review","year":2021,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Donau-Universität Krems","keywords":"Data extraction; Scopus; Critical appraisal; Resource (disambiguation); Systematic review; Grey literature; Resource management (computing); Production (economics); Computer science; Protocol (science); Medicine; MEDLINE; Knowledge management; Database; Alternative medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad","insufficient_payload"],"category_scores_codex":[0.8285503,0.001251104,0.1792821,0.0007199636,0.0002250766,0.0003565373,0.004774972,0.0009407936,0.002713432],"category_scores_gemma":[0.9809317,0.0005228135,0.04458981,0.002967553,0.0003389819,0.0006049734,0.0006149727,0.003182757,0.001225621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435259,"about_ca_system_score_gemma":0.001769001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001833835,"about_ca_topic_score_gemma":0.000004363562,"domain_scores_codex":[0.2374663,0.5242237,0.229386,0.002558182,0.005594406,0.0007714037],"domain_scores_gemma":[0.04912054,0.5325549,0.3942386,0.01428525,0.008581724,0.001218994],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002654732,0.00005425321,0.00006992654,0.8657885,0.00164098,0.00007894045,0.000004288856,0.000002791224,3.146853e-9,0.0001675601,0.09182043,0.0403697],"study_design_scores_gemma":[0.00004877696,0.0000466921,0.000008024747,0.5856413,0.01639913,0.001886918,0.000006173496,0.000002671622,4.351092e-9,0.0001639828,0.3955678,0.0002284642],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001401341,0.9853232,0.001644811,0.004380052,0.002497872,0.006031837,0.000008664961,0.000006855404,0.0001052916],"genre_scores_gemma":[1.301303e-7,0.9828746,0.004728471,0.005790185,0.001411258,0.0001579918,0.0000163838,0.00005787764,0.004963048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3037474,"threshold_uncertainty_score":0.9997224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9595601394769535,"score_gpt":0.7215685962135804,"score_spread":0.2379915432633731,"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."}}