{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001862397,0.0006992036,0.000610909,0.001003762,0.0004647417,0.00094099,0.0007768376,0.0007689734,0.002379255],"category_scores_gemma":[0.004633407,0.0003012096,0.0009722771,0.0009180496,0.0002076026,0.001162423,0.0008614767,0.001131198,0.001654334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236647,"about_ca_system_score_gemma":0.0005843855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131411,"about_ca_topic_score_gemma":0.002402221,"domain_scores_codex":[0.9993098,0.0002053808,0.00006207849,0.0001794263,0.0001628823,0.00008046006],"domain_scores_gemma":[0.9983741,0.0007033249,0.0001298261,0.0002421048,0.0004401639,0.0001105181],"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":[0.001197877,0.0003154157,0.02403881,0.0006190552,0.0002367476,0.0004753609,0.0003889478,0.06182386,0.1036962,0.003003869,0.0183408,0.785863],"study_design_scores_gemma":[0.00007793515,0.0004539605,0.01179319,0.0001103065,0.0001442584,0.0004072574,0.0002088585,0.893474,0.07294226,0.002543757,0.01772509,0.00011907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4863948,0.001973956,0.4754125,0.0009877902,0.0004554785,0.0002212453,0.003662945,0.02411455,0.006776818],"genre_scores_gemma":[0.5301352,0.0006774924,0.4592762,0.0002550803,0.0000638283,0.000112682,0.006594267,0.0007080488,0.002177206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002379255,"threshold_uncertainty_score":0.00984937,"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."}}