{"id":"W3213980078","doi":"10.7191/jeslib.2021.1220","title":"Data Management for Systematic Reviews: Guidance is Needed","year":2021,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Systematic review; Transparency (behavior); Best practice; Data management plan; Computer science; Data management; Data sharing; Protocol (science); Plan (archaeology); Process (computing); Process management; Knowledge management; Data extraction; Data science; Management science; Engineering; MEDLINE; Data mining; 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":[0.5739433,0.005501979,0.01858446,0.03943811,0.004420654,0.02273763,0.01026631,0.02425675,0.05671864],"category_scores_gemma":[0.774306,0.01040989,0.0182757,0.05969321,0.01409191,0.02632232,0.01237713,0.02573589,0.07545586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01331701,"about_ca_system_score_gemma":0.09982873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007798522,"about_ca_topic_score_gemma":0.01428076,"domain_scores_codex":[0.2501845,0.4706491,0.2250503,0.01088278,0.04008491,0.003148413],"domain_scores_gemma":[0.09099582,0.5072482,0.1010439,0.1230353,0.1700916,0.007585255],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006283657,0.0001617255,0.0006731358,0.1040941,0.001381162,0.0002315334,0.00448827,0.0008367592,0.001120024,0.01729389,0.6830255,0.1860655],"study_design_scores_gemma":[0.003034219,0.0002192128,0.001663233,0.1945347,0.001195523,0.0003766804,0.001877835,0.00343124,0.001511074,0.04587194,0.7455603,0.0007240862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001386472,0.0217979,0.3874095,0.2349485,0.04753658,0.1883083,0.06928098,0.02256284,0.02676891],"genre_scores_gemma":[0.003536202,0.01084136,0.7479354,0.01708436,0.003819132,0.1970822,0.009429453,0.003036453,0.007235471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4260567,"threshold_uncertainty_score":0.5254039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8978865292113629,"score_gpt":0.5569794916163165,"score_spread":0.3409070375950464,"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."}}