{"id":"W3207635519","doi":"10.3389/fphar.2021.714790","title":"An In-Silico, In-Vitro and In-Vivo Combined Approach to Identify NMNATs as Potential Protein Targets of ProEGCG for Treatment of Endometriosis","year":2021,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Health and Medical Research Fund; National Natural Science Foundation of China","keywords":"In silico; In vivo; Endometriosis; In vitro; Chemistry; Pharmacology; Biochemistry; Biology; Cancer research; Medicine; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003663567,0.0006086326,0.0006753397,0.0002958257,0.000171071,0.000406638,0.0003501327,0.0004454434,0.0009756507],"category_scores_gemma":[0.0002374507,0.0002549503,0.0007557768,0.00024533,0.0001708472,0.0002617053,0.0002590002,0.0005320287,0.0003389754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791346,"about_ca_system_score_gemma":0.0003977013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209412,"about_ca_topic_score_gemma":0.00205457,"domain_scores_codex":[0.9997981,0.00004181752,0.00001107347,0.00004262595,0.00008015907,0.00002617348],"domain_scores_gemma":[0.9999202,0.00002270899,0.0000188528,0.000009681244,0.00001998719,0.000008535653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002501871,0.000109783,0.0009916251,0.000213615,0.00005192078,0.00005164685,0.00001389612,0.004273218,0.9899552,0.0001759156,0.00007514952,0.003837877],"study_design_scores_gemma":[0.00003439499,0.0009428993,0.003270242,0.00001330164,0.0002349192,0.0002011137,0.00003783001,0.03941275,0.9517036,0.0001573505,0.003968902,0.00002267956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372512,0.005748576,0.05195338,0.0002972091,0.00008273561,0.0001884731,0.001110626,0.0003245464,0.003043141],"genre_scores_gemma":[0.9539796,0.003684708,0.03868877,0.0001306131,0.0000158825,0.0001082485,0.001156706,0.00004206989,0.002193411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001209412,"threshold_uncertainty_score":0.003263831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090246563764819,"score_gpt":0.3566971363272445,"score_spread":0.3357946706895963,"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."}}