{"id":"W4321440330","doi":"10.1007/978-3-031-23210-7_14","title":"A Study on the Application of Protein Language Models in the Analysis of Membrane Proteins","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Membrane protein; Computational biology; Computer science; Chemistry; Membrane; Biology; Biochemistry","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":[0.001448686,0.0004193568,0.0004388154,0.0006737605,0.0004822221,0.001212624,0.0007922684,0.0007024991,0.001955151],"category_scores_gemma":[0.006298766,0.0001943767,0.001176466,0.001150257,0.0006142181,0.001830201,0.0005932873,0.0009231107,0.0005353882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974626,"about_ca_system_score_gemma":0.0005273977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160028,"about_ca_topic_score_gemma":0.001589431,"domain_scores_codex":[0.9994097,0.0003047778,0.00002394994,0.00008329008,0.0001401099,0.00003816678],"domain_scores_gemma":[0.9952896,0.004203339,0.00006476101,0.000150366,0.000239395,0.00005252394],"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":[0.000624519,0.0008017572,0.007264812,0.0007023561,0.0002861121,0.001223087,0.001380755,0.1708173,0.03242033,0.2896924,0.01400971,0.4807769],"study_design_scores_gemma":[0.00002032035,0.0002020149,0.002865906,0.00004866794,0.00007289985,0.0003803099,0.000310306,0.8708063,0.01136358,0.1038702,0.0100235,0.00003593748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3537339,0.008383699,0.6011753,0.00302524,0.0003202275,0.0001163981,0.0004105087,0.000969736,0.03186504],"genre_scores_gemma":[0.7539185,0.004984765,0.2122986,0.0006830915,0.0003078817,0.00009090991,0.000828694,0.0006890915,0.02619847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002160028,"threshold_uncertainty_score":0.007661521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520844893732327,"score_gpt":0.2575145653617759,"score_spread":0.2423061164244526,"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."}}