{"id":"W2261923652","doi":"10.1007/978-3-319-06483-3_23","title":"Using Ensemble of Bayesian Classifying Algorithms for Medical Systematic Reviews","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Machine learning; Computer science; Artificial intelligence; Support vector machine; Naive Bayes classifier; Bayesian probability; Bayes' theorem; Discriminative model; Data mining","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":[],"category_scores_codex":[0.0328699,0.001711541,0.003922851,0.01165094,0.001019381,0.003727208,0.002025878,0.002088325,0.002126003],"category_scores_gemma":[0.09878638,0.001111289,0.005001309,0.008326154,0.0004043161,0.004436896,0.001962651,0.00217615,0.000961894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223948,"about_ca_system_score_gemma":0.003822858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270829,"about_ca_topic_score_gemma":0.009250748,"domain_scores_codex":[0.9776576,0.01228019,0.003749986,0.002193982,0.003828452,0.0002898063],"domain_scores_gemma":[0.920267,0.06355777,0.003674328,0.004220266,0.007826136,0.000454438],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004992163,0.0002183664,0.01145863,0.002224224,0.0053459,0.00009198808,0.00028253,0.04876912,0.00127511,0.006666671,0.01016198,0.9130062],"study_design_scores_gemma":[0.0002836342,0.0004438311,0.007466868,0.001806185,0.005959181,0.0004507224,0.0001699607,0.8744382,0.003023826,0.09082908,0.01496013,0.0001683403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01308314,0.01597062,0.964877,0.0008261025,0.0003400288,0.0006063675,0.001345368,0.00153448,0.001416825],"genre_scores_gemma":[0.1093902,0.005507611,0.8798474,0.0003901503,0.0004130163,0.0009564192,0.002573923,0.0001588835,0.0007623478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9671301,"threshold_uncertainty_score":0.1738347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08168163749375508,"score_gpt":0.3357261139570094,"score_spread":0.2540444764632543,"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."}}