{"id":"W2936495146","doi":"10.5195/jmla.2019.629","title":"Errata for trial publications are not uncommon, are frequently not trivial, and can be challenging to access: a retrospective review","year":2019,"lang":"en","type":"review","venue":"Journal of the Medical Library Association JMLA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Library science; Computer science; World Wide Web; Data science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.2070822,0.001453906,0.003919635,0.03392264,0.002340512,0.006986876,0.002030544,0.00241953,0.003099601],"category_scores_gemma":[0.6193742,0.002734526,0.004255074,0.03213963,0.003510134,0.008744339,0.004603924,0.001552736,0.001932575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004115589,"about_ca_system_score_gemma":0.01168371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621806,"about_ca_topic_score_gemma":0.006424951,"domain_scores_codex":[0.5317448,0.1469285,0.239481,0.01706156,0.06223402,0.002550074],"domain_scores_gemma":[0.1490535,0.3761545,0.3567036,0.03802335,0.0786669,0.001398208],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002368568,0.0002474496,0.4444341,0.2921241,0.009305048,0.003935934,0.01176229,0.0004856636,0.001461105,0.004191252,0.0257085,0.203976],"study_design_scores_gemma":[0.0008656149,0.001990004,0.267429,0.4754403,0.0239891,0.01940569,0.01604544,0.001300946,0.005495646,0.004220857,0.1830702,0.0007472934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.155498,0.7560367,0.03011698,0.01179625,0.002437263,0.01809783,0.01896802,0.0004652477,0.006583715],"genre_scores_gemma":[0.6230677,0.2798621,0.04495452,0.01223993,0.002140062,0.02558753,0.009323269,0.000429135,0.002395609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7929178,"threshold_uncertainty_score":0.9778088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7476557721975313,"score_gpt":0.547750207836723,"score_spread":0.1999055643608083,"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."}}