{"id":"W4403824124","doi":"10.1093/eurpub/ckae144.1053","title":"Using artificial intelligence to support and streamline rapid systematic evidence reviews","year":2024,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Systematic review; Computer science; Data science; MEDLINE; Chemistry","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":[0.2781681,0.003287344,0.005007428,0.02624826,0.002024848,0.01395161,0.005217326,0.002537774,0.005795961],"category_scores_gemma":[0.6480444,0.004111552,0.004937329,0.01484014,0.00148947,0.0102123,0.007683353,0.004462053,0.004222881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006573737,"about_ca_system_score_gemma":0.02857143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00894995,"about_ca_topic_score_gemma":0.0231372,"domain_scores_codex":[0.6984539,0.1937951,0.0663631,0.01177905,0.02795123,0.001657668],"domain_scores_gemma":[0.1335603,0.7006642,0.06275252,0.04141451,0.05859099,0.003017425],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001206501,0.0002940348,0.009958934,0.02519546,0.002285674,0.0004156482,0.004374982,0.01937931,0.004586862,0.003502283,0.04461972,0.8841806],"study_design_scores_gemma":[0.006534947,0.002471037,0.02881777,0.04753159,0.00775076,0.001687714,0.004548444,0.5168954,0.03197592,0.0864142,0.2633766,0.001995705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04350753,0.01756196,0.74588,0.04512101,0.002323673,0.03434103,0.01158962,0.09010584,0.00956933],"genre_scores_gemma":[0.02640581,0.001481328,0.9644518,0.001008468,0.0002819934,0.003865069,0.00169424,0.000507377,0.000303998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7218319,"threshold_uncertainty_score":0.8901472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9409119269849412,"score_gpt":0.6070485299786323,"score_spread":0.3338633970063088,"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."}}