{"id":"W2970391280","doi":"","title":"A Pragmatic Approach to Information Extraction for Systematic Review.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information extraction; Extraction (chemistry); Information retrieval; Data science; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2672213,0.003102117,0.007315247,0.03150138,0.005193856,0.01337463,0.005856303,0.005472505,0.01578308],"category_scores_gemma":[0.6007952,0.004246464,0.00930744,0.02649818,0.004573723,0.01009069,0.01546304,0.006451812,0.003961993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007579953,"about_ca_system_score_gemma":0.04417657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004517759,"about_ca_topic_score_gemma":0.01367818,"domain_scores_codex":[0.5578824,0.3335405,0.07063773,0.009237959,0.02749527,0.0012061],"domain_scores_gemma":[0.3446125,0.5611082,0.02211528,0.02822007,0.04118261,0.00276133],"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":[0.001769381,0.0001754455,0.001869344,0.2264601,0.01184566,0.000990778,0.0126203,0.002937397,0.003824627,0.1718066,0.0962806,0.4694197],"study_design_scores_gemma":[0.002155275,0.0003100353,0.003130012,0.07976191,0.01282112,0.001125308,0.00382531,0.01383952,0.003927855,0.5543725,0.323996,0.0007352584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002221539,0.02569797,0.8689623,0.02716273,0.00219248,0.04106911,0.01904188,0.002713784,0.01093816],"genre_scores_gemma":[0.01135543,0.002478183,0.9493963,0.001858043,0.0002903648,0.03134942,0.002528685,0.0001150666,0.0006285774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7327787,"threshold_uncertainty_score":0.9036466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141321295185574,"score_gpt":0.2920434110316978,"score_spread":0.2839020897365122,"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."}}