{"id":"W2152500261","doi":"10.1016/j.jclinepi.2012.01.001","title":"Ensuring relevance for Cochrane reviews: evaluating processes and methods for prioritizing topics for Cochrane reviews","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; Cochrane","funders":"","keywords":"Systematic review; Transparency (behavior); Prioritization; Relevance (law); Cochrane collaboration; Medicine; Cochrane Library; Variety (cybernetics); Grey literature; MEDLINE; Computer science; Management science; Meta-analysis; Political science; 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":[0.8163707,0.008174627,0.02223303,0.06692101,0.009939572,0.04261706,0.0124668,0.02141319,0.008748514],"category_scores_gemma":[0.9610113,0.01369837,0.02384218,0.03677218,0.01052225,0.03438571,0.02825918,0.0210329,0.003397944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02217267,"about_ca_system_score_gemma":0.1329819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008437812,"about_ca_topic_score_gemma":0.01342412,"domain_scores_codex":[0.08187535,0.7002699,0.1621508,0.007231795,0.04685819,0.001613957],"domain_scores_gemma":[0.0166629,0.8633768,0.03818513,0.02250122,0.0566262,0.002647652],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007471333,0.0006352622,0.01130048,0.3238394,0.02760499,0.0005821222,0.02338471,0.005319267,0.001982796,0.02749774,0.04846755,0.5219143],"study_design_scores_gemma":[0.0197598,0.002734026,0.01908857,0.3503322,0.1014236,0.001108955,0.008399128,0.04150795,0.01070175,0.3095504,0.1322021,0.003191463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02207072,0.2612283,0.4053302,0.1139572,0.011842,0.1623188,0.005645981,0.004920182,0.01268659],"genre_scores_gemma":[0.06288685,0.01751769,0.860058,0.004017776,0.001795765,0.05164369,0.001028648,0.0006720407,0.000379621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1836293,"threshold_uncertainty_score":0.2264477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.945962810813024,"score_gpt":0.7673054041853945,"score_spread":0.1786574066276295,"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."}}