{"id":"W2111693807","doi":"10.1093/bioinformatics/btq266","title":"DETECT—a Density Estimation Tool for Enzyme ClassificaTion and its application to <i>Plasmodium falciparum</i>","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research","keywords":"Annotation; Ranking (information retrieval); Computer science; Computational biology; Probabilistic logic; Plasmodium falciparum; Sequence alignment; Genomics; Data mining; Biology; Machine learning; Artificial intelligence; Genetics; Gene; Peptide sequence; Genome; Malaria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001974871,0.001377525,0.001021706,0.003232065,0.000825186,0.00138486,0.001994265,0.001115646,0.01006532],"category_scores_gemma":[0.009451518,0.0008713374,0.0009430876,0.001717621,0.00048883,0.001175622,0.001680168,0.001048109,0.004250851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008188811,"about_ca_system_score_gemma":0.001081076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633736,"about_ca_topic_score_gemma":0.004399649,"domain_scores_codex":[0.9990722,0.0001696166,0.00006873184,0.0002115848,0.0004246054,0.0000532265],"domain_scores_gemma":[0.997345,0.00169123,0.0003278261,0.0002084678,0.0003376395,0.00008987774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008897618,0.0002858304,0.02167452,0.0009242852,0.0002857802,0.0006091193,0.0003854935,0.05356308,0.02464017,0.01227526,0.124436,0.7600307],"study_design_scores_gemma":[0.0001388868,0.0001005116,0.003209882,0.00003659848,0.00004150827,0.0007160126,0.00005947849,0.9293712,0.02031316,0.01318581,0.03275328,0.00007364997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01335631,0.0002477926,0.8897051,0.00026616,0.00005328227,0.0001082318,0.004022197,0.09053738,0.001703633],"genre_scores_gemma":[0.1417521,0.0003376037,0.8388001,0.0001851297,0.00009954309,0.0004831448,0.00878013,0.005949579,0.003612535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01006532,"threshold_uncertainty_score":0.03367186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009605648486673174,"score_gpt":0.2615764797752238,"score_spread":0.2519708312885506,"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."}}