{"id":"W4321350270","doi":"10.1016/j.jclinepi.2023.02.018","title":"Differentiating between mapping reviews and evidence gap maps","year":2023,"lang":"en","type":"letter","venue":"Journal of Clinical Epidemiology","topic":"Disaster Response and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Toronto; St. Michael's Hospital","funders":"University of Toronto; Queen's University; La Trobe University","keywords":"Scopus; Systematic review; Pollock; Presentation (obstetrics); MEDLINE; Data extraction; Library science; Medicine; Data science; Computer science; Political science; History; Law","routes":{"ca_aff":true,"ca_fund":true,"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":"commentary","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":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.09906542,0.0003772026,0.006418991,0.0003569871,0.0002447021,0.000009654007,0.0006857604,0.001903269,0.0001744499],"category_scores_gemma":[0.2312659,0.0002543427,0.001031096,0.0001683984,0.0002025838,0.0001394238,0.0007225312,0.01063611,0.0006403888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000713355,"about_ca_system_score_gemma":0.00027749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003211875,"about_ca_topic_score_gemma":0.000007453742,"domain_scores_codex":[0.9350666,0.04995359,0.01318613,0.0005513027,0.0003140538,0.0009283083],"domain_scores_gemma":[0.771523,0.2132748,0.0141345,0.0005641293,0.0002068817,0.0002967238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004825478,0.000008064111,0.1166908,0.002194145,0.0002351957,0.0001379526,0.0002065391,2.153521e-7,2.78225e-7,0.00007507416,0.8610755,0.01932798],"study_design_scores_gemma":[0.0004541402,0.000264138,0.08349352,0.01206082,0.0002970287,0.000007241114,0.0001433728,0.000007870262,8.726036e-9,0.009885747,0.8932026,0.000183504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004604029,0.008080455,0.004972443,0.9732189,0.007095308,0.0009095306,0.00001518767,0.0000395803,0.001064593],"genre_scores_gemma":[0.0003028901,0.03732163,0.002781364,0.9111479,0.03454945,0.00004634147,0.00002835044,0.00007212806,0.01374995],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1635436,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.853818918067726,"score_gpt":0.6569140782935189,"score_spread":0.1969048397742071,"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."}}