{"id":"W2131003727","doi":"10.1517/14728222.6.2.203","title":"Identification of new therapeutic targets for prevention of CNS inflammation","year":2002,"lang":"en","type":"review","venue":"Expert Opinion on Therapeutic Targets","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Microglia; Immunology; Tumor necrosis factor alpha; Multiple sclerosis; Inflammation; Central nervous system; Receptor; Nitric oxide; Biology; CD8; Interferon gamma; Cell biology; Cytokine; Immune system; Neuroscience; Endocrinology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000390774,0.0006372713,0.001307576,0.0006131654,0.0001881514,0.00006602692,0.0006453882,0.0003803372,0.0003626117],"category_scores_gemma":[0.0002652055,0.0005705892,0.0008015627,0.0005351339,0.00008504843,0.0003094028,0.00004760732,0.000269536,0.00009846778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000910157,"about_ca_system_score_gemma":0.0001919497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001298416,"about_ca_topic_score_gemma":5.700904e-7,"domain_scores_codex":[0.9950926,0.0006973954,0.002138918,0.0009320959,0.0007616541,0.0003773325],"domain_scores_gemma":[0.9957394,0.0005458691,0.002543151,0.0008782328,0.0001624787,0.0001308926],"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":[0.00005441135,0.0001954474,3.741247e-8,0.0012563,0.00004859486,4.227107e-7,0.0005033337,0.00003168564,0.0820497,0.01622603,0.0009196523,0.8987144],"study_design_scores_gemma":[0.000521653,0.0003692439,5.24774e-7,0.0007757988,0.00004359698,0.000007608686,0.00001217228,0.0005929759,0.3227712,0.00175183,0.6728208,0.0003326444],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004901583,0.9647681,0.02842272,0.0002215094,0.002636029,0.003525446,0.00009299736,0.0001562297,0.0001721052],"genre_scores_gemma":[0.000510651,0.9956934,0.0002958532,0.0002312048,0.0005274981,0.0004153785,0.0001896851,0.0001427465,0.001993513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8983817,"threshold_uncertainty_score":0.9996746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540337572631458,"score_gpt":0.382855082744361,"score_spread":0.2288213254812152,"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."}}