{"id":"W2795435317","doi":"10.5195/jmla.2018.241","title":"Environmental scan and evaluation of best practices for online systematic review resources","year":2018,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University; Kellogg's (Canada); Capital District Health Authority; Greenfield Research (Canada); Dalhousie University","funders":"","keywords":"Systematic review; Computer science; Best practice; Data science; World Wide Web; Information retrieval; MEDLINE; 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":[0.6198995,0.004402196,0.009697146,0.07061057,0.007019882,0.01340242,0.007157995,0.004827405,0.02139778],"category_scores_gemma":[0.8176994,0.005668287,0.0116514,0.05248309,0.008351232,0.0139028,0.01531432,0.004143982,0.004461786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01822183,"about_ca_system_score_gemma":0.08768228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168376,"about_ca_topic_score_gemma":0.009046749,"domain_scores_codex":[0.1351546,0.5234506,0.2609951,0.01411137,0.06336834,0.002919954],"domain_scores_gemma":[0.07368273,0.6295947,0.09992447,0.06229394,0.1309825,0.003521594],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.003086154,0.0006374001,0.01487984,0.479426,0.005733923,0.001159386,0.03287418,0.001781641,0.004404363,0.01077164,0.03800375,0.4072419],"study_design_scores_gemma":[0.005033472,0.003519324,0.03588353,0.6267063,0.01344529,0.001360407,0.02866603,0.00733074,0.01213959,0.02370376,0.2407435,0.00146803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.06011369,0.04330036,0.2086888,0.02647766,0.004376255,0.5498703,0.0448066,0.009243321,0.0531231],"genre_scores_gemma":[0.05518138,0.005927693,0.4409774,0.002035589,0.0003270119,0.4894297,0.004049602,0.0007336171,0.001337976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3801005,"threshold_uncertainty_score":0.4687316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5532375783366934,"score_gpt":0.5229088636908188,"score_spread":0.03032871464587461,"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."}}