{"id":"W3191894071","doi":"10.29173/jchla29517","title":"An environmental scan of librarian involvement in systematic reviews at Queen’s University: 2020 update","year":2021,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Queen (butterfly); Systematic review; Library science; Grey literature; Publishing; Section (typography); Workload; Political science; MEDLINE; Computer science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.1943446,0.001355997,0.004970853,0.06659764,0.002435662,0.01384745,0.005700754,0.005948032,0.01738058],"category_scores_gemma":[0.4553773,0.003259333,0.005942148,0.08556866,0.003221882,0.01931711,0.01278346,0.004509225,0.004367434],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02145679,"about_ca_system_score_gemma":0.07558998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03972769,"about_ca_topic_score_gemma":0.07308685,"domain_scores_codex":[0.6438369,0.1359465,0.1209718,0.01436808,0.0785803,0.006296392],"domain_scores_gemma":[0.2103661,0.3833535,0.1673049,0.0231216,0.2031118,0.01274226],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001514192,0.0001029017,0.0515082,0.4231213,0.004847053,0.0005155114,0.005585672,0.0004503314,0.0009179321,0.006554631,0.2403975,0.2644848],"study_design_scores_gemma":[0.0004543865,0.0003783522,0.09398847,0.4973415,0.003702488,0.0008103931,0.003230019,0.0005163045,0.0006239229,0.002066961,0.3966159,0.0002713592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01742011,0.7331067,0.004127576,0.1355959,0.005251404,0.002565688,0.08003414,0.00119435,0.02070417],"genre_scores_gemma":[0.2040427,0.572831,0.04162975,0.09782277,0.00443908,0.01823448,0.05331362,0.0011724,0.006514255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9785432,"threshold_uncertainty_score":0.9935166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406869991455924,"score_gpt":0.3350847279265298,"score_spread":0.2610160280119706,"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."}}