{"id":"W4360849784","doi":"10.5195/jmla.2022.1505","title":"The case of the disappearing librarians: analyzing documentation of librarians’ contributions to systematic reviews","year":2023,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Medical Library Association","keywords":"Documentation; Library science; Systematic review; Protocol (science); Set (abstract data type); Computer science; MEDLINE; World Wide Web; Medicine; Alternative medicine; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6396161,0.001386187,0.00470654,0.0480344,0.004808447,0.01746095,0.007195017,0.005404503,0.003269421],"category_scores_gemma":[0.9111669,0.004482378,0.00387543,0.05065443,0.01261668,0.02963698,0.01987812,0.004816077,0.0009617561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01515735,"about_ca_system_score_gemma":0.05266716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009605214,"about_ca_topic_score_gemma":0.01532743,"domain_scores_codex":[0.09710342,0.5935004,0.2037581,0.01872391,0.08478332,0.002130849],"domain_scores_gemma":[0.02740435,0.7565958,0.1157255,0.05819524,0.04087459,0.001204533],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001486148,0.0001239805,0.08385789,0.1729058,0.00699454,0.001564016,0.2780098,0.001062611,0.001784954,0.03001785,0.02031608,0.4018764],"study_design_scores_gemma":[0.0007341575,0.001088413,0.06177221,0.5331652,0.01133859,0.004653685,0.08927445,0.004049667,0.004949822,0.0287405,0.2594337,0.0007996443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2148428,0.4926568,0.1323583,0.1062697,0.005632982,0.007038921,0.006306562,0.001255999,0.03363802],"genre_scores_gemma":[0.7721691,0.07660564,0.1101884,0.01933089,0.002180361,0.01113586,0.00375391,0.001148598,0.003487279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9945955,"threshold_uncertainty_score":0.4444176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2993070694448581,"score_gpt":0.4749921879899399,"score_spread":0.1756851185450818,"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."}}