{"id":"W3108198898","doi":"10.1186/s12974-020-02032-8","title":"An allosteric interleukin-1 receptor modulator mitigates inflammation and photoreceptor toxicity in a model of retinal degeneration","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; University of Alberta; Hôpital Maisonneuve-Rosemont; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Photoreceptor cell; Retinal degeneration; Inflammation; Biology; Retinal; Programmed cell death; Retina; Interleukin 1 receptor antagonist; Microglia; Proinflammatory cytokine; Interleukin; Neurodegeneration; Cell biology; Cytokine; Apoptosis; Receptor; Immunology; Receptor antagonist; Medicine; Pathology; Neuroscience; Antagonist; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001364486,0.0001201482,0.0002823817,0.0001397678,0.00002149106,0.00002532892,0.00005337514,0.00005360823,0.00002202541],"category_scores_gemma":[0.0001673634,0.000102645,0.00007869557,0.0001285421,0.00002909249,0.0004879999,0.00001388678,0.0001217335,0.00000191835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005570555,"about_ca_system_score_gemma":0.00008098393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003365734,"about_ca_topic_score_gemma":0.000002726665,"domain_scores_codex":[0.998732,0.00008346827,0.0006692818,0.0001355435,0.0002864773,0.00009324013],"domain_scores_gemma":[0.9989688,0.00002295447,0.0005234284,0.00008593359,0.0002117458,0.0001870844],"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":[0.001428316,0.000088825,0.01459711,0.0001484157,0.00002027352,0.00001733393,0.0007949559,0.002838328,0.9768462,0.00003551174,0.00002414253,0.003160578],"study_design_scores_gemma":[0.002190854,0.002316643,0.05967325,0.0002432343,0.0001056668,0.00006159386,0.0001180397,0.3339767,0.6010627,0.000134073,0.00001426862,0.0001030268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979036,0.00005336665,0.0005697695,0.001128412,0.00004418337,0.0002570491,0.000007857821,0.000008883806,0.00002681898],"genre_scores_gemma":[0.9964742,0.00009671645,0.003166201,0.00004316427,0.0001730263,0.000003260564,0.0000239918,0.00001423734,0.00000519634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757836,"threshold_uncertainty_score":0.4185743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474407381456053,"score_gpt":0.2659284892795056,"score_spread":0.2411844154649451,"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."}}