{"id":"W4404612153","doi":"10.1007/978-1-0716-4196-5_14","title":"Computational Prediction of Linear Interacting Peptides","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computer science; Computational biology; Biological system; Biology","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":[0.0008355874,0.0007565384,0.001111876,0.001201794,0.0006172403,0.001083334,0.001383326,0.0007291412,0.004322881],"category_scores_gemma":[0.003281966,0.0005007238,0.001006276,0.0009475801,0.0004584488,0.001082212,0.0006849856,0.001094501,0.001042231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813546,"about_ca_system_score_gemma":0.0008583954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350617,"about_ca_topic_score_gemma":0.002473868,"domain_scores_codex":[0.9996552,0.0001187662,0.00002079441,0.00008652118,0.00008069392,0.00003801423],"domain_scores_gemma":[0.9977522,0.0016803,0.0001519157,0.0001311379,0.0001618289,0.0001224952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002645355,0.0007763623,0.01133535,0.0008790615,0.0004282662,0.001196563,0.0001369748,0.756895,0.02021248,0.02307004,0.009599649,0.1728249],"study_design_scores_gemma":[0.00005015968,0.00005275573,0.0003701197,0.000007999378,0.00002552519,0.00004652938,0.00001144063,0.9912799,0.002038576,0.005768578,0.0003411668,0.000007258484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6053324,0.002080835,0.3770604,0.000601862,0.0001508281,0.0002119176,0.003115771,0.004719744,0.006726315],"genre_scores_gemma":[0.8538455,0.0005076349,0.1375646,0.0001786266,0.0000708103,0.0002444306,0.004653247,0.0002528268,0.002682366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004322881,"threshold_uncertainty_score":0.01446152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668260595348076,"score_gpt":0.4058349528938852,"score_spread":0.3891523469404044,"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."}}