{"id":"W4384829943","doi":"10.3390/ijms241411646","title":"Sigma-1 Receptor Agonist Fluvoxamine Ameliorates Fibrotic Response of Trabecular Meshwork Cells","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Pharmacological Receptor Mechanisms and Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research, Development and Innovation Office; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Universitat de Barcelona; Magyar Tudományos Akadémia; Hungarian Scientific Research Fund; University of Ottawa","keywords":"Trabecular meshwork; Sigma-1 receptor; Fibrosis; Agonist; Receptor; Intraocular pressure; Glaucoma; Cell biology; Pharmacology; Biology; Chemistry; Internal medicine; Medicine; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.001568771,0.000128624,0.000184799,0.0002124752,0.00006011417,0.00005310664,0.0007850791,0.00008466547,0.00008334012],"category_scores_gemma":[0.0005046707,0.0001013382,0.00020564,0.0003734918,0.0002323766,0.00001506774,0.0001364682,0.0001011804,0.00001710851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033637,"about_ca_system_score_gemma":0.0001823189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003160303,"about_ca_topic_score_gemma":4.725275e-7,"domain_scores_codex":[0.9982911,0.0002355141,0.0003806403,0.0002108277,0.0006754256,0.0002064616],"domain_scores_gemma":[0.9989856,0.0001097904,0.0003299042,0.0001019067,0.0003635592,0.0001091834],"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":[0.000468227,0.00005910835,0.00006933798,0.000005388519,0.0000924651,0.00007612797,0.00003531227,0.003018768,0.9929838,0.00009991655,0.001651102,0.001440423],"study_design_scores_gemma":[0.000442063,0.001140535,0.0003706847,0.00005132909,0.00001549294,0.00002841088,0.0001018841,0.0002194872,0.9926828,0.0003031259,0.004532102,0.0001120659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951542,0.0005319932,0.002385787,0.0006366413,0.001096637,0.00008198368,0.00001643774,0.000007472196,0.0000888713],"genre_scores_gemma":[0.9967857,0.0003423307,0.002335545,0.0002464594,0.000161503,0.000003425588,0.000009232916,0.00001003341,0.0001057464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881001,"threshold_uncertainty_score":0.4132454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606537427014374,"score_gpt":0.3057659534448426,"score_spread":0.2897005791746988,"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."}}