{"id":"W2995432752","doi":"10.1016/j.jclinepi.2019.12.009","title":"A common framework of steps and criteria for prioritizing topics for evidence syntheses: a systematic review","year":2019,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"World Health Organization","keywords":"Systematic review; MEDLINE; Data science; Computer science; Medicine; Management science; Information retrieval; Biology; Engineering","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":[0.5111086,0.009489249,0.02709493,0.0602181,0.01159305,0.03368579,0.01720878,0.01486223,0.007690096],"category_scores_gemma":[0.6388921,0.01149957,0.03193136,0.03975407,0.01368719,0.02082883,0.02931323,0.02083028,0.00338501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02331018,"about_ca_system_score_gemma":0.143581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384231,"about_ca_topic_score_gemma":0.03251758,"domain_scores_codex":[0.3638014,0.2971765,0.2811957,0.01317912,0.04169581,0.002951457],"domain_scores_gemma":[0.3837258,0.3989234,0.05476439,0.03381038,0.120145,0.008631034],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001725852,0.0004338921,0.00639881,0.5643195,0.02259704,0.0008869083,0.01673734,0.003530796,0.003090543,0.05258638,0.04487151,0.2828215],"study_design_scores_gemma":[0.004707326,0.0009641962,0.007692769,0.6551541,0.05232579,0.001176008,0.007318599,0.009268395,0.005809255,0.1363096,0.1174837,0.001790159],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004868232,0.1357462,0.4742824,0.05095825,0.004336,0.3076408,0.01276853,0.003124482,0.00627524],"genre_scores_gemma":[0.009048782,0.01064255,0.9208494,0.00232691,0.0002275734,0.05486213,0.001567168,0.0001389795,0.0003365469],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4888914,"threshold_uncertainty_score":0.6028901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9618204236684665,"score_gpt":0.8325617014041096,"score_spread":0.129258722264357,"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."}}