{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1831112,0.0001195249,0.00208121,0.0001223168,0.0001092335,0.0002044549,0.001208074,0.00009186576,0.003741844],"category_scores_gemma":[0.2862723,0.00004656547,0.0008990985,0.0004178657,0.00007670896,0.0006984207,0.000124516,0.0001651435,0.00003703438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005888208,"about_ca_system_score_gemma":0.000177327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.3326e-7,"about_ca_topic_score_gemma":0.000003040874,"domain_scores_codex":[0.9662699,0.01477939,0.007051425,0.0002003331,0.01159249,0.0001064311],"domain_scores_gemma":[0.9436014,0.01093282,0.04349457,0.000873955,0.0009110352,0.0001862416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000131154,0.001653781,0.1448477,0.05913255,0.005507124,0.000004656831,0.003172184,0.00001877027,0.0002414105,0.0007659517,0.7090401,0.07548461],"study_design_scores_gemma":[0.005837177,0.00209124,0.09213249,0.1827859,0.04774255,0.0004853562,0.008119943,0.05956276,0.0004397769,0.02497621,0.5748935,0.0009330987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240119,0.08608275,0.0004509682,0.08091994,0.001456914,0.003939693,0.0001343062,0.000003690095,0.0029999],"genre_scores_gemma":[0.9636591,0.005476689,0.004022348,0.005352053,0.001774677,0.00004294495,0.00001201552,0.00002770729,0.01963248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396472,"threshold_uncertainty_score":0.9971689,"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."}}