{"id":"W2056029075","doi":"10.1155/2013/581751","title":"Targeting Inflammation in Emerging Therapies for Genetic Retinal Disease","year":2013,"lang":"en","type":"article","venue":"International Journal of Inflammation","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Retinitis pigmentosa; Macular degeneration; Disease; Inflammation; Pathogenesis; Retinal degeneration; Blindness; Blinding; Bioinformatics; Genetic predisposition; Retinal; Immunology; Neuroscience; Pathology; Ophthalmology; Biology; Clinical trial; Optometry","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":[0.0001739341,0.00009876736,0.0001451992,0.0002764242,0.00002902692,0.00006429112,0.0001009265,0.00003100351,0.0001356872],"category_scores_gemma":[0.0003633384,0.00008035955,0.0001303022,0.00006509043,0.00001818741,0.0004209396,0.0000137354,0.00007944155,0.00001610127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479018,"about_ca_system_score_gemma":0.00008855624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400041,"about_ca_topic_score_gemma":0.000001484933,"domain_scores_codex":[0.9987187,0.00003144437,0.0006240412,0.00009134146,0.0004181501,0.0001163148],"domain_scores_gemma":[0.9984835,0.00005131499,0.0004298671,0.00006138728,0.0008714307,0.0001025076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002424602,0.0002596654,0.6692524,0.0002096926,0.0005821452,0.000306285,0.001425626,0.005954541,0.081433,0.001190363,0.0006113889,0.2363503],"study_design_scores_gemma":[0.002687065,0.0001730593,0.9746561,0.0004206439,0.00007887417,0.00004929709,0.0002487137,0.01479363,0.00165416,0.004112396,0.001025102,0.0001009707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895902,0.0003676503,0.004301226,0.004934704,0.0002835981,0.0004095672,0.000003230357,0.000009112118,0.0001007115],"genre_scores_gemma":[0.9914909,0.0001706702,0.007261323,0.00005766153,0.0008394441,0.00004359001,0.00004873842,0.00001290286,0.00007476588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3054037,"threshold_uncertainty_score":0.3276967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035324906077097,"score_gpt":0.2917030462810821,"score_spread":0.2813497972203111,"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."}}