{"id":"W3124288694","doi":"10.1002/cbic.202000787","title":"Targeting TRIM Proteins: A Quest towards Drugging an Emerging Protein Class","year":2021,"lang":"en","type":"review","venue":"ChemBioChem","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; European Federation of Pharmaceutical Industries and Associations; McGill University","keywords":"Trim; Chemistry; Computational biology; Protein–protein interaction; Biochemistry; Nanotechnology; Biology; Computer science; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008148354,0.0009343908,0.002482939,0.0003031266,0.0003274772,0.0001201214,0.0008198711,0.001293881,0.001169508],"category_scores_gemma":[0.0006175602,0.000822795,0.0008504058,0.00043026,0.0002144797,0.0001676826,0.0004531881,0.001563517,0.000689129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205539,"about_ca_system_score_gemma":0.001120936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005838331,"about_ca_topic_score_gemma":0.000002156185,"domain_scores_codex":[0.9956561,0.0010033,0.001162644,0.001113215,0.00009321269,0.0009715253],"domain_scores_gemma":[0.9980905,0.00008411276,0.0006121151,0.0009443873,0.0001986599,0.000070211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006057222,0.0003017274,1.550721e-7,0.009688096,0.0007355557,0.00005983729,0.000490521,7.10121e-8,0.1033184,0.0002577548,0.00288931,0.882198],"study_design_scores_gemma":[0.0003258868,0.0001020408,6.896378e-8,0.01242725,0.0002188219,0.0001355755,0.0002843024,5.483906e-7,0.3155133,0.000002998154,0.6703697,0.0006194341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007563549,0.9940138,0.00004415232,0.00005677084,0.0007557607,0.00171815,0.00005051271,0.0003214221,0.002283113],"genre_scores_gemma":[0.0008012661,0.9767362,0.0002628433,0.00006532258,0.0002816945,0.0009516195,0.002205341,0.0001962452,0.01849947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8815786,"threshold_uncertainty_score":0.9997436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436664315624375,"score_gpt":0.3365349146555572,"score_spread":0.2921682714993135,"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."}}