{"id":"W4283027774","doi":"10.18438/eblip30093","title":"Syntheses Synthesized: A Look Back at Grant and Booth's Review Typology","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Typology; Categorization; Systematic review; Computer science; Scope (computer science); Grey literature; Scientific literature; Data science; Information retrieval; MEDLINE; Management science; Sociology; Artificial intelligence; Linguistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003131932,0.0001026725,0.0001826742,0.0001620367,0.001804046,0.00005117738,0.0001928954,0.000053369,0.01332626],"category_scores_gemma":[0.009446017,0.00007794793,0.00002112608,0.000446743,0.0001176172,0.05542044,0.0003486124,0.000522987,0.0005605668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000581415,"about_ca_system_score_gemma":0.001193659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005419025,"about_ca_topic_score_gemma":3.563159e-7,"domain_scores_codex":[0.9963064,0.002186623,0.0005690889,0.000180495,0.0003781449,0.0003793036],"domain_scores_gemma":[0.987673,0.01130347,0.000433128,0.0002441909,0.00006393033,0.0002823109],"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":[0.002207258,0.0001363783,0.01130186,0.01619674,0.00002757485,0.00001120408,0.003763458,0.00002112437,0.00004780511,0.064184,0.8401887,0.06191393],"study_design_scores_gemma":[0.00013722,0.0001713802,0.003059107,0.001426306,0.00001410191,0.00002986531,0.003629577,0.0004794626,0.00001815701,0.00005208418,0.9908838,0.00009899122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007531147,0.02936487,0.0001823198,0.9152188,0.0007847158,0.002570306,0.0000654463,0.0001299748,0.04415243],"genre_scores_gemma":[0.07068487,0.188109,0.003129948,0.7316434,0.000195523,0.001135276,0.00009203994,0.00001780985,0.004992028],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1835753,"threshold_uncertainty_score":0.9994954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09711356039266239,"score_gpt":0.4200075621564261,"score_spread":0.3228940017637637,"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."}}