{"id":"W2512279472","doi":"10.1016/j.bpj.2016.07.029","title":"Absolute Ligand Discrimination by Dimeric Signaling Receptors","year":2016,"lang":"en","type":"letter","venue":"Biophysical Journal","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Receptor; Ligand (biochemistry); Chemistry; Cell biology; Computational biology; Biophysics; Biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004436901,0.0004096922,0.0004403174,0.0002254261,0.0002718892,0.0007283589,0.001544858,0.000326978,0.00003501185],"category_scores_gemma":[0.00008530323,0.0003025518,0.0003793099,0.0003651746,0.0001131356,0.0009183339,0.0003131713,0.001656836,0.0002158078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519682,"about_ca_system_score_gemma":0.000200951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004315497,"about_ca_topic_score_gemma":5.781563e-8,"domain_scores_codex":[0.9966105,0.000477508,0.0005376219,0.0006149923,0.001162955,0.000596457],"domain_scores_gemma":[0.9979281,0.0007368042,0.0005522188,0.0004032334,0.0002090643,0.0001705909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004831387,0.00003195433,8.577626e-7,0.00002122998,0.00006740297,0.0001072655,0.00008512679,0.00008948559,0.02084169,0.0004235617,0.9335773,0.0447493],"study_design_scores_gemma":[0.000368441,0.0001550107,0.00003749542,0.0002811909,0.00005248976,0.000168708,0.000003992373,0.009113008,0.009052446,0.0106423,0.9693523,0.0007726399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.001079095,0.00008156689,0.5922225,0.4022624,0.003878236,0.0001434309,0.00001861927,0.00008542418,0.0002287265],"genre_scores_gemma":[0.01256483,0.0003844539,0.1102025,0.7723142,0.09071679,0.0001098663,0.0003103998,0.0003781559,0.01301878],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.48202,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100026037284469,"score_gpt":0.2794486846452696,"score_spread":0.2584484242724249,"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."}}