{"id":"W2171207688","doi":"10.4103/0255-0857.136547","title":"Meta-analysis in microbiology","year":2014,"lang":"en","type":"review","venue":"Indian Journal of Medical Microbiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Clinical microbiology; Meta-analysis; Statistical analysis; Value (mathematics); Data science; Microbiology; Medicine; Computer science; Biology; Statistics; Mathematics; Pathology","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":["metaresearch","metaepi_narrow","metaepi_broad","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad","research_integrity","insufficient_payload"],"category_scores_codex":[0.3139559,0.001084585,0.06643114,0.006961065,0.00006835289,0.0003052561,0.01138462,0.002369424,0.07829167],"category_scores_gemma":[0.05519507,0.0004281151,0.04863425,0.005481244,0.0005207528,0.0000961452,0.0004929739,0.002687156,0.003983486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382625,"about_ca_system_score_gemma":0.001271669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401508,"about_ca_topic_score_gemma":0.0002522302,"domain_scores_codex":[0.8708289,0.07890613,0.04485342,0.001672294,0.002879376,0.0008598862],"domain_scores_gemma":[0.9344645,0.01947036,0.03975108,0.004154628,0.001337806,0.0008216939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007225167,0.0001896345,0.00006832609,0.001950471,0.3816278,0.001784888,0.0002493039,0.00001080876,0.000004606938,0.0002545509,0.08868621,0.5251662],"study_design_scores_gemma":[0.0001510268,0.0000763496,0.000001525065,0.0003047969,0.2307367,0.005531047,0.00002634143,0.000002498233,1.596702e-7,0.0002052716,0.762705,0.0002592109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003057581,0.9943226,0.002040495,0.001782918,0.0009627427,0.0005211473,0.0001602737,0.000001883009,0.0001773799],"genre_scores_gemma":[0.0001604404,0.9954086,0.0008363742,0.001400217,0.0004783226,0.00002411572,0.0001082641,0.00003818862,0.001545453],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6740188,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7084654283089591,"score_gpt":0.5436088117743806,"score_spread":0.1648566165345785,"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."}}