{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4793888,0.002698061,0.01321061,0.05888522,0.004932964,0.01881366,0.005664231,0.004786641,0.004701055],"category_scores_gemma":[0.7723609,0.0042966,0.009404764,0.07592914,0.006725308,0.02084156,0.01228577,0.004098709,0.001167316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01624129,"about_ca_system_score_gemma":0.05853362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006338663,"about_ca_topic_score_gemma":0.01416059,"domain_scores_codex":[0.2581123,0.4309781,0.2224803,0.01325215,0.07199021,0.003187103],"domain_scores_gemma":[0.09939545,0.7376636,0.08299294,0.02244797,0.05567557,0.001824608],"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":[0.0003580384,0.00007346411,0.01109976,0.6669767,0.009476829,0.0007250804,0.01138759,0.0006453164,0.0009717794,0.005696188,0.01386417,0.2787251],"study_design_scores_gemma":[0.000203724,0.0001844819,0.01036888,0.927126,0.009859721,0.0005463945,0.005650062,0.0007375627,0.0005774231,0.005313207,0.03926149,0.0001709487],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01339368,0.906425,0.02697095,0.02377507,0.002654196,0.0163726,0.003719549,0.0003463475,0.006342683],"genre_scores_gemma":[0.1636032,0.6248344,0.120748,0.01081749,0.001865682,0.07192425,0.004483574,0.0005691452,0.001154261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5206112,"threshold_uncertainty_score":0.6420063,"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."}}