{"id":"W4220949786","doi":"10.1038/s41589-022-01000-y","title":"Hitting the hotspots","year":2022,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Canada Research Chairs; Government of Canada; Princess Margaret Cancer Foundation","keywords":"KRAS; Hotspot (geology); Covalent bond; Mutant; Computational biology; Mutation; Biology; Genetics; Chemistry; Gene","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":[0.001091113,0.0009253297,0.001201876,0.001551111,0.001858786,0.002090992,0.001446165,0.001523471,0.02127653],"category_scores_gemma":[0.003773422,0.0008932043,0.0007221327,0.001221099,0.00101374,0.002398371,0.00312959,0.002350145,0.006642308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006759096,"about_ca_system_score_gemma":0.0006004975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007578442,"about_ca_topic_score_gemma":0.001455222,"domain_scores_codex":[0.9991108,0.0001165206,0.00003632237,0.0002933107,0.0002024671,0.0002405546],"domain_scores_gemma":[0.9982435,0.0005187414,0.000212858,0.0004248508,0.0002357153,0.0003643237],"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":[0.001895718,0.000378544,0.05560357,0.001599969,0.0009876791,0.006552745,0.001869231,0.009116132,0.4029825,0.1210654,0.07883671,0.3191117],"study_design_scores_gemma":[0.000408466,0.001586403,0.07098667,0.0004568708,0.001091385,0.0174072,0.00401272,0.0347961,0.2493229,0.2367284,0.3827387,0.0004641602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80696,0.02241255,0.07290929,0.01092547,0.004539544,0.0003340812,0.002721814,0.005816711,0.07338059],"genre_scores_gemma":[0.9533067,0.003299433,0.0154339,0.004088389,0.0005040957,0.0001630819,0.001626592,0.0006885809,0.02088921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02127653,"threshold_uncertainty_score":0.07117712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004463322764627937,"score_gpt":0.2695263209714463,"score_spread":0.2650629982068183,"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."}}