{"id":"W7097495227","doi":"","title":"The Use of Internal and External Functional Domains to Improve Transmembrane Protein Topology Prediction","year":2008,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transmembrane protein; Transmembrane domain; Membrane topology; Topology (electrical circuits); Domain (mathematical analysis); Membrane protein; Protein structure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009799375,0.00007656668,0.00006750691,0.00002191036,0.0001031912,0.0000115587,0.00007558813,0.000068866,0.00002327111],"category_scores_gemma":[0.00008612633,0.00005188483,0.00003563298,0.00002683445,0.000138139,0.000005181773,0.00005611014,0.00008365167,0.000002221898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005072361,"about_ca_system_score_gemma":0.00002604354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004727431,"about_ca_topic_score_gemma":0.00003308097,"domain_scores_codex":[0.999438,0.00003188835,0.0001990188,0.0001159357,0.00009883911,0.0001163097],"domain_scores_gemma":[0.9996723,0.00001896385,0.00005490363,0.0001525527,0.00005119243,0.00005011369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004732726,0.00003050385,0.009509067,0.00001988901,0.0000475601,0.00000125578,0.0001279965,0.0004516558,0.9818357,0.0007102529,0.001202365,0.005590479],"study_design_scores_gemma":[0.002343697,0.003156416,0.09868199,0.00003815423,0.00002947385,0.0006754313,0.0001031723,0.01009258,0.6702911,0.0001693646,0.2140577,0.0003608918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862303,0.00003431265,0.1127603,0.0002161853,0.0001094007,0.0001910164,0.00001219754,0.00000776415,0.0004385291],"genre_scores_gemma":[0.9875234,0.00004384478,0.008103689,0.0002917057,0.00012655,0.00002083658,0.00001098244,0.000007766035,0.003871195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3115445,"threshold_uncertainty_score":0.2115802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114490550859277,"score_gpt":0.2252400870840147,"score_spread":0.213791031998087,"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."}}