{"id":"W4293518829","doi":"10.1109/cibcb55180.2022.9863025","title":"DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification","year":2022,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Artificial intelligence; Matthews correlation coefficient; Machine learning; Deep learning; Pattern recognition (psychology); Data mining; Support vector machine","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":[0.000550121,0.0001603521,0.0001286658,0.00007328481,0.0003765264,0.00003697817,0.0003509053,0.00008693548,0.00003155107],"category_scores_gemma":[0.0003425537,0.0001643875,0.00008430835,0.0001785295,0.00003670472,0.000007669654,0.0003145429,0.0002720854,0.000009288332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000649033,"about_ca_system_score_gemma":0.00005894256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009620073,"about_ca_topic_score_gemma":0.000003422573,"domain_scores_codex":[0.9986601,0.0001206788,0.0002908671,0.000388579,0.0002556579,0.0002841141],"domain_scores_gemma":[0.9993457,0.00001102538,0.00009865549,0.0003284465,0.0001207893,0.00009544921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003367408,0.0002151636,0.003654395,0.0001427725,0.0001127786,5.617502e-7,0.001172111,0.2175026,0.7644738,0.001882096,0.001103019,0.009403902],"study_design_scores_gemma":[0.0004561294,0.001262233,0.00242711,0.00000692132,0.00003022634,0.0000277976,0.002110744,0.9232645,0.02300396,0.00007820524,0.04692056,0.0004115931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2794614,0.0000285494,0.7111926,0.0001351895,0.00006757806,0.001403447,0.00002822836,0.00007075577,0.007612256],"genre_scores_gemma":[0.9295918,0.000002625885,0.06548199,0.0002253542,0.0001117757,0.001266835,0.0008325301,0.00003379329,0.00245334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7414699,"threshold_uncertainty_score":0.6703527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271664513823747,"score_gpt":0.3174253261703308,"score_spread":0.2847086810320933,"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."}}