{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005802596,0.00005860473,0.000136528,0.00002776891,0.00007558816,0.00000945445,0.00008998704,0.00005031351,0.000001615656],"category_scores_gemma":[0.0004066096,0.00004477982,0.00002467029,0.00008011993,0.0001511018,0.000006161333,0.00002420832,0.00001858175,0.000004907153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002342486,"about_ca_system_score_gemma":0.0000163905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.570368e-7,"about_ca_topic_score_gemma":3.514745e-7,"domain_scores_codex":[0.9995564,0.0000416917,0.0002044337,0.00008446049,0.00004671926,0.00006628452],"domain_scores_gemma":[0.9994854,0.00005519947,0.0001056918,0.0001971325,0.0001264478,0.00003008734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003332976,0.0001870108,0.00001614275,0.1975844,0.0001694712,1.634418e-8,0.001434045,0.000005059781,0.02354393,0.7364191,0.006736762,0.03357081],"study_design_scores_gemma":[0.002207939,0.003672092,0.0003689161,0.01716345,0.001566136,0.0001525487,0.01687241,0.0004067354,0.2404308,0.2873909,0.4281133,0.001654786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003308159,0.002587433,0.9899669,0.0001394047,0.00001817293,0.001630138,0.00002234973,0.00001865912,0.002308734],"genre_scores_gemma":[0.9763696,0.000536395,0.01773418,0.0008623934,0.0001792038,0.00355573,0.0002656871,0.000009851792,0.0004869467],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9730614,"threshold_uncertainty_score":0.1826068,"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."}}