{"id":"W4407132017","doi":"10.1136/bmjebm-2023-112389","title":"Rapid reviews methods series: guidance on rapid scoping, mapping and evidence and gap map (‘Big Picture Reviews’)","year":2025,"lang":"en","type":"article","venue":"BMJ evidence-based medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Ottawa Hospital","funders":"","keywords":"Series (stratigraphy); Data science; Computer science; Information retrieval; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2155316,0.005265773,0.007426116,0.02223023,0.002523735,0.01367859,0.01145873,0.01755694,0.2071258],"category_scores_gemma":[0.4478315,0.008633054,0.01214818,0.02962936,0.003173732,0.01213438,0.012657,0.01274748,0.2173019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009178703,"about_ca_system_score_gemma":0.0610678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009372389,"about_ca_topic_score_gemma":0.01514541,"domain_scores_codex":[0.768387,0.1343722,0.04956115,0.006412176,0.03794137,0.003326263],"domain_scores_gemma":[0.4827492,0.3403313,0.0401822,0.025158,0.1054159,0.006163289],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001893949,0.00007655984,0.0001327257,0.04540098,0.0001711403,0.0001214462,0.001093097,0.0005024325,0.0003836213,0.008859184,0.7855688,0.1575006],"study_design_scores_gemma":[0.0004318945,0.00007103515,0.0005171811,0.03907127,0.0001343085,0.0001462988,0.0001898428,0.0002642951,0.0003458223,0.006909426,0.9517938,0.000124907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.0009509076,0.08099686,0.2258715,0.07774059,0.02685415,0.243366,0.1187602,0.0229191,0.2025407],"genre_scores_gemma":[0.002428816,0.09599863,0.5181314,0.01508643,0.003833821,0.2661666,0.03212651,0.006426341,0.05980147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7844684,"threshold_uncertainty_score":0.9673892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4793826492030341,"score_gpt":0.5678402709174526,"score_spread":0.08845762171441851,"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."}}