{"id":"W4387773449","doi":"10.1016/j.chembiol.2023.08.017","title":"Targeting selective E3 ligase for healing cardiac fibrosis","year":2023,"lang":"en","type":"letter","venue":"Cell chemical biology","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Ubiquitin ligase; Cardiac fibrosis; DNA ligase; Wound healing; Fibrosis; Medicine; Cell biology; Chemistry; Computational biology; Cancer research; Ubiquitin; Biology; Internal medicine; Surgery; DNA; Biochemistry; Gene","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002860922,0.0004551968,0.001380481,0.0001452923,0.0001044652,0.00001998625,0.000146867,0.002195481,0.00001599431],"category_scores_gemma":[0.000309283,0.0003845166,0.001081442,0.0002176287,0.0001263785,0.00001606523,0.000141167,0.0017475,0.00007865787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148307,"about_ca_system_score_gemma":0.0001576519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004579979,"about_ca_topic_score_gemma":5.951599e-8,"domain_scores_codex":[0.9973692,0.00007022493,0.0005547862,0.0009522914,0.000153987,0.0008994601],"domain_scores_gemma":[0.9982536,0.0008306594,0.0001895753,0.0003513868,0.000232651,0.000142106],"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":[0.00005377169,0.000009326902,0.00004851025,0.00053029,0.0001107598,0.000005415232,0.00002781326,0.00000447023,0.4837136,0.000001752245,0.5152418,0.0002525219],"study_design_scores_gemma":[0.0005690051,0.0001676755,0.000003523289,0.0001990738,0.0004086509,0.000007076611,0.00002229718,0.000308028,0.3893031,0.000171678,0.6084191,0.0004207549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.149846,0.02528269,0.002742126,0.7845257,0.01336832,0.008692625,0.004753034,0.002488624,0.008300903],"genre_scores_gemma":[0.07654043,0.002710908,0.02721818,0.7047552,0.1249258,0.001384034,0.05318258,0.001392879,0.007890032],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1115574,"threshold_uncertainty_score":0.9998607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899358036132882,"score_gpt":0.272887652067156,"score_spread":0.2538940717058272,"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."}}