{"id":"W4206790482","doi":"10.3115/1654415.1654434","title":"BioKI:Enzymes","year":2006,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Set (abstract data type); Information retrieval; Process (computing); World Wide Web; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00004485445,0.0000547844,0.00004762208,0.00001282993,0.00002791529,0.000008338448,0.00007793999,0.00008873507,0.00006647482],"category_scores_gemma":[0.00002263465,0.00004091747,0.00003404564,0.00003439778,0.00007140976,2.921725e-7,0.00003676878,0.00002354879,0.00003794875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001689097,"about_ca_system_score_gemma":0.00001272821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005084265,"about_ca_topic_score_gemma":0.00002932876,"domain_scores_codex":[0.9996169,0.000009457827,0.00007073265,0.0001336548,0.00004842428,0.0001208795],"domain_scores_gemma":[0.9998187,0.000004344132,0.00001327647,0.000126361,0.00001395721,0.00002334544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002536156,0.00009226077,0.01169148,0.00000745822,0.00002224497,0.000005807627,0.000005170732,0.000005065813,0.3427115,0.005623418,0.5781558,0.06165444],"study_design_scores_gemma":[0.0001707548,0.00007451764,0.008530992,0.000001528052,0.000002655483,0.000007391176,0.00002158319,0.000009935508,0.2459844,0.0003897184,0.7447166,0.00008990485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310143,0.003903237,0.01324128,0.001839667,0.0003207017,0.00008510291,0.000008763399,0.0001376458,0.1494493],"genre_scores_gemma":[0.9796792,0.00001844015,0.004810627,0.0004225132,0.0002663303,0.000003933315,0.00003889403,0.00000568836,0.01475432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665609,"threshold_uncertainty_score":0.1668566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005581675927201015,"score_gpt":0.2281946815446554,"score_spread":0.2226130056174544,"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."}}