{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009184153,0.0001149492,0.0001522439,0.0001499651,0.00002107517,0.000009769511,0.0001374495,0.0001671474,0.00001884263],"category_scores_gemma":[0.0007489111,0.000108416,0.00008480511,0.0001603324,0.00008944207,0.000003455364,0.0001205111,0.0002088272,0.000004416375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001367341,"about_ca_system_score_gemma":0.00004996791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150773,"about_ca_topic_score_gemma":0.000001568265,"domain_scores_codex":[0.9987812,0.0004078986,0.0003726722,0.0002291894,0.00005718072,0.0001518475],"domain_scores_gemma":[0.9995331,0.0001426015,0.00007467705,0.0001731466,0.00005121963,0.00002530158],"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":[0.00002115657,0.00002211978,0.004244341,0.00009904862,0.00006291679,0.000004325998,0.0001563743,0.01465393,0.9599065,0.002620342,0.00008584318,0.01812306],"study_design_scores_gemma":[0.0005241316,0.0007347193,0.001265263,0.0001897162,0.00003692309,0.0001243955,0.0001551564,0.4677581,0.4745089,0.006702772,0.04766808,0.0003318538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07209374,0.0006212546,0.9252594,0.00007793197,0.0003547356,0.00009520413,0.00002295419,0.00002258865,0.001452196],"genre_scores_gemma":[0.1845318,0.00002310336,0.8149509,0.00009772691,0.00007040778,0.00001009078,0.0002320923,0.00001661324,0.00006728031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4853977,"threshold_uncertainty_score":0.4421076,"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."}}