{"id":"W3112523972","doi":"10.15252/msb.20199310","title":"Large‐scale survey and database of high affinity ligands for peptide recognition modules","year":2020,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Library science; Sociology; Media studies; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001346491,0.0009862807,0.001542862,0.003708812,0.0005546121,0.00102249,0.001322238,0.001294266,0.002031864],"category_scores_gemma":[0.002335314,0.0003913194,0.0007883226,0.004175606,0.0002494037,0.0009722062,0.0009323117,0.0009493153,0.002049076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444395,"about_ca_system_score_gemma":0.0009422232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008948462,"about_ca_topic_score_gemma":0.00170237,"domain_scores_codex":[0.9986732,0.0002073156,0.0001578698,0.000376682,0.0004495177,0.0001354458],"domain_scores_gemma":[0.9985935,0.0004149389,0.0002914639,0.0001885529,0.0002480667,0.0002635275],"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":[0.002971894,0.001272041,0.1439698,0.005845144,0.001008882,0.002215005,0.0005307955,0.01474922,0.6496355,0.003241377,0.04721522,0.1273452],"study_design_scores_gemma":[0.0007131365,0.001965213,0.3638709,0.0004954604,0.0008553946,0.005692095,0.001310013,0.07740166,0.2570924,0.005048662,0.2852316,0.0003234939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7291724,0.005732434,0.01801466,0.0002684635,0.00005287481,0.0001968885,0.2421278,0.001839527,0.002594831],"genre_scores_gemma":[0.2623447,0.00154171,0.03609607,0.0002195635,0.00002827549,0.0003001924,0.6983957,0.000173461,0.0009002718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708812,"threshold_uncertainty_score":0.007120967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349835508680259,"score_gpt":0.2747574196850126,"score_spread":0.25125906459821,"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."}}