{"id":"W3102149593","doi":"10.3390/cancers12113326","title":"Proximal Protein Interaction Landscape of RAS Paralogs","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Computational biology; Biology; Evolutionary biology; Computer science; Geography","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":[0.0000180729,0.00005129024,0.00006733051,0.000006412509,0.00001914341,0.000002472935,0.00004618755,0.00006389487,0.00001994918],"category_scores_gemma":[0.00002157851,0.00004194727,0.00003535747,0.00004119797,0.00003930839,0.000001071274,0.00002725511,0.00005650058,0.000004456578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001251873,"about_ca_system_score_gemma":0.00006054842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229623,"about_ca_topic_score_gemma":0.000005161118,"domain_scores_codex":[0.9996908,0.00001109714,0.00007517854,0.0001163997,0.00003501471,0.00007155257],"domain_scores_gemma":[0.9998479,0.000001150985,0.00004134802,0.00005486822,0.00002510232,0.00002957499],"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":[0.0002154573,0.000006008946,0.001415952,0.00005527307,0.00009459172,0.000001238357,0.0002087105,0.0002016464,0.9856396,0.0000403068,0.01065128,0.001469957],"study_design_scores_gemma":[0.0005215435,0.0004324107,0.0004819081,0.00002703602,0.00001561288,0.000001897902,0.0004046249,0.0002641649,0.9291145,0.000008863071,0.06861442,0.0001130023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920685,0.001589072,0.0001404327,0.0007636469,0.0001165887,0.0001619741,0.000007205535,0.000009869719,0.005142757],"genre_scores_gemma":[0.9991556,0.0001459031,0.0001260453,0.0002056719,0.0001253067,0.00001079541,0.00001360858,0.000005397584,0.000211695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05796314,"threshold_uncertainty_score":0.171056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246244239386668,"score_gpt":0.2470796104143053,"score_spread":0.2346171680204387,"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."}}