{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019321,0.0005722315,0.001169503,0.0008606915,0.0003258708,0.001202994,0.0006634545,0.001528739,0.004497453],"category_scores_gemma":[0.000672264,0.0001567514,0.000641887,0.0004920953,0.0008550427,0.001669761,0.0008118447,0.003005873,0.0007359402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316314,"about_ca_system_score_gemma":0.0007247032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803083,"about_ca_topic_score_gemma":0.001620246,"domain_scores_codex":[0.9995978,0.0001524569,0.00003844058,0.00004506863,0.00008871734,0.00007737755],"domain_scores_gemma":[0.9994978,0.0002410564,0.00008501998,0.00002085838,0.00008799026,0.00006723908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002415889,0.001515209,0.001176103,0.007165029,0.0002289276,0.002200556,0.00039669,0.001149233,0.02766939,0.03505408,0.01869053,0.9023383],"study_design_scores_gemma":[0.003011061,0.009901437,0.006401578,0.00873428,0.0008342196,0.005736932,0.0009080243,0.002197347,0.01650838,0.05375484,0.8918874,0.0001245027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007317461,0.9779844,0.00179601,0.007658663,0.0006974746,0.00004619388,0.00004186919,0.00004373102,0.004414205],"genre_scores_gemma":[0.05952968,0.9269212,0.004947463,0.003678506,0.001940134,0.0001228547,0.00007788823,0.00001539068,0.002766873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004497453,"threshold_uncertainty_score":0.0150454,"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."}}