{"id":"W4388108541","doi":"10.1016/j.jclinepi.2023.10.017","title":"Searching a methods topic: practical challenges and implications for search design","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Universität Basel","keywords":"Terminology; Search engine indexing; Information retrieval; MEDLINE; Computer science; Citation; Data science; World Wide Web","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":[0.6624781,0.003315757,0.0144465,0.01605886,0.01087284,0.02748269,0.009412225,0.01584675,0.02023634],"category_scores_gemma":[0.8735203,0.004588143,0.007993838,0.01814486,0.02225384,0.02842752,0.0128545,0.01489389,0.003684097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332788,"about_ca_system_score_gemma":0.04910184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138494,"about_ca_topic_score_gemma":0.02604618,"domain_scores_codex":[0.2262669,0.6905254,0.05128232,0.0100722,0.02037295,0.001480229],"domain_scores_gemma":[0.04390922,0.9252654,0.008596633,0.01030105,0.009968104,0.001959636],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003712779,0.0008153657,0.01379955,0.1095977,0.009252606,0.001366452,0.01578682,0.007145095,0.001117601,0.2131535,0.1281167,0.4961359],"study_design_scores_gemma":[0.00391796,0.0008207501,0.003824712,0.04152927,0.00593399,0.001586296,0.008180718,0.02182474,0.000722431,0.8542421,0.05683019,0.0005868082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.008657741,0.06160442,0.4248999,0.4696613,0.008861469,0.009585965,0.00163006,0.0009757521,0.01412327],"genre_scores_gemma":[0.1317961,0.01715184,0.7667173,0.05204256,0.007103004,0.02239292,0.0006779434,0.0005666169,0.001551758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3375219,"threshold_uncertainty_score":0.4162246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9933919604652579,"score_gpt":0.8278810723034243,"score_spread":0.1655108881618336,"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."}}