{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102693,0.0001741331,0.0002319804,0.0005849286,0.0003157869,0.0003414757,0.0001555313,0.0002607981,0.00131479],"category_scores_gemma":[0.0002208431,0.0001300356,0.0001955809,0.0003325263,0.0001752633,0.0003182956,0.0002841606,0.0002094293,0.0005047842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002892913,"about_ca_system_score_gemma":0.000119314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008877338,"about_ca_topic_score_gemma":0.00153387,"domain_scores_codex":[0.9998468,0.00001513544,0.000005083958,0.00006644357,0.0000432279,0.00002321437],"domain_scores_gemma":[0.9999059,0.00002453889,0.00002610528,0.000008406703,0.0000158169,0.0000191356],"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":[0.0001840284,0.0000135382,0.009216942,0.00007788625,0.00002620138,0.000176922,0.0000758162,0.001045611,0.9847072,0.0006548262,0.00009336943,0.003727742],"study_design_scores_gemma":[0.0000143748,0.0002082069,0.2250105,0.00002245893,0.0001226115,0.002404194,0.0005562868,0.06626546,0.6935476,0.002583494,0.009218348,0.00004642857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917805,0.0006966768,0.006001167,0.00003673936,0.000002016222,0.000004252594,0.0002939459,0.00008658079,0.001098059],"genre_scores_gemma":[0.9966761,0.0002126522,0.002130963,0.00001139023,0.000001182047,0.000005101961,0.0003795563,0.00001340703,0.0005697291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00131479,"threshold_uncertainty_score":0.004398406,"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."}}