{"id":"W4407180265","doi":"10.11124/jbies-24-00292","title":"Textual evidence systematic reviews series paper 2: challenges and strategies in developing a search strategy for systematic reviews of textual evidence","year":2025,"lang":"en","type":"article","venue":"JBI Evidence Synthesis","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Saint John Regional Hospital; Dalhousie University","funders":"","keywords":"Systematic review; Computer science; Variety (cybernetics); Data science; Transparency (behavior); Process (computing); Best practice; Grey literature; Management science; MEDLINE; Political science; Engineering; Artificial intelligence","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":[0.6518061,0.003706496,0.01092419,0.03577656,0.006296456,0.03046789,0.01054348,0.01883847,0.01856665],"category_scores_gemma":[0.8022513,0.005234519,0.009653202,0.03132209,0.01281486,0.03565239,0.02351309,0.01522425,0.009163192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02347645,"about_ca_system_score_gemma":0.1204958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005329499,"about_ca_topic_score_gemma":0.00742876,"domain_scores_codex":[0.1653042,0.6900753,0.09929775,0.007687832,0.03554346,0.002091424],"domain_scores_gemma":[0.09867796,0.7596071,0.03887146,0.02671757,0.07210445,0.004021416],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006546256,0.0001242322,0.001124529,0.3677878,0.002708631,0.0006920737,0.02191451,0.001500886,0.001062721,0.122298,0.1147717,0.3653603],"study_design_scores_gemma":[0.0006552681,0.0003935557,0.0008383276,0.5795434,0.001844853,0.0007706291,0.009228133,0.002225368,0.001034254,0.1038728,0.2992149,0.0003785171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00209058,0.2060548,0.3148914,0.3568009,0.02035791,0.07540019,0.00267711,0.001280425,0.02044666],"genre_scores_gemma":[0.01875304,0.1043437,0.6678637,0.0584351,0.004214658,0.1384618,0.001715152,0.000876211,0.005336718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3481939,"threshold_uncertainty_score":0.4293852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6491484225707768,"score_gpt":0.5207255089799707,"score_spread":0.128422913590806,"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."}}