{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002910701,0.003635223,0.002851289,0.007543989,0.001234084,0.007371339,0.003378407,0.002182646,0.06609143],"category_scores_gemma":[0.01301824,0.001878703,0.002150394,0.01004408,0.0006384411,0.007198168,0.004039368,0.004052994,0.1840036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582447,"about_ca_system_score_gemma":0.004942976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733899,"about_ca_topic_score_gemma":0.001658906,"domain_scores_codex":[0.9974226,0.0004280702,0.0007241874,0.0004549165,0.0007663312,0.0002038947],"domain_scores_gemma":[0.9935894,0.001739269,0.001144983,0.001251966,0.001481649,0.0007927875],"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":[0.001157213,0.0001489731,0.002101532,0.007934729,0.0002906264,0.0005654698,0.000339904,0.0006112412,0.01069042,0.01090886,0.8760342,0.08921675],"study_design_scores_gemma":[0.0002231428,0.00005331013,0.00129977,0.0004385755,0.000107028,0.0005147565,0.00007798411,0.000930275,0.00834673,0.005872551,0.9820208,0.0001151015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.003039805,0.007794974,0.09338462,0.003502414,0.001048167,0.0009922993,0.3703892,0.4652112,0.05463728],"genre_scores_gemma":[0.01523908,0.01151123,0.1668732,0.002513649,0.0003840522,0.001754237,0.7125168,0.04594159,0.04326614],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06609143,"threshold_uncertainty_score":0.2210978,"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."}}