{"id":"W4405750175","doi":"10.1016/j.jval.2024.10.2510","title":"MT40 Systematic Review Tools Integrated with Artificial Intelligence for Data Extraction: Feature Analysis","year":2024,"lang":"en","type":"article","venue":"Value in Health","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Computer science; Data extraction; Artificial intelligence; Data mining; Pattern recognition (psychology); Chemistry; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353914,0.0001224941,0.0004176483,0.00009086149,0.00004524351,0.00005370919,0.0002864581,0.0001185117,0.000007978821],"category_scores_gemma":[0.0007836609,0.00008074316,0.00007123494,0.0006963924,0.0000527531,0.000005900249,0.00004712944,0.0001618611,0.000004835748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478697,"about_ca_system_score_gemma":0.0002888209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478155,"about_ca_topic_score_gemma":0.0001590199,"domain_scores_codex":[0.9986159,0.0001774841,0.0004299197,0.000443606,0.0001255439,0.0002075441],"domain_scores_gemma":[0.9990591,0.0001591036,0.0000972413,0.0005721775,0.0000463133,0.00006609285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003765653,0.0003187559,0.0002223942,0.7347681,0.002473845,0.00006491462,0.0003856033,0.001338535,0.001074627,0.003473315,0.0340425,0.2214608],"study_design_scores_gemma":[0.0005515579,0.004607498,0.000236739,0.366567,0.005073758,0.0004200437,0.003386116,0.3600563,0.003342847,0.001897311,0.2518021,0.00205883],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003845679,0.4405352,0.5347954,0.01686713,0.0005996518,0.002657455,0.0004875124,0.0001290471,0.00008298818],"genre_scores_gemma":[0.7463326,0.09416658,0.1362883,0.006753446,0.001226711,0.001153222,0.01148357,0.0001422699,0.002453258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.742487,"threshold_uncertainty_score":0.329261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1416752056410319,"score_gpt":0.4046817956316208,"score_spread":0.2630065899905889,"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."}}