{"id":"W2789250337","doi":"","title":"IDENTIFICATION OF ANTI-TNF CANDIDATES BASED ON PREDICTED RESPONSE AND REMISSION IN ANKYLOSING SPONDYLITIS","year":2010,"lang":"en","type":"other","venue":"Data Archiving and Networked Services (DANS)","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DEPT; Medicine; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021452,0.0002608939,0.0004941183,0.0005287506,0.0001013932,0.0000699991,0.0003456264,0.0001946826,0.0001212553],"category_scores_gemma":[0.0001113108,0.0002208772,0.00002667709,0.0002210502,0.0002119978,0.0001002671,0.0002088649,0.0004680671,0.000001722806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248401,"about_ca_system_score_gemma":0.00008794139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289965,"about_ca_topic_score_gemma":0.002180956,"domain_scores_codex":[0.9979686,0.0003609898,0.0004088894,0.0006022056,0.0003405172,0.0003188183],"domain_scores_gemma":[0.9981321,0.0004054802,0.0002380728,0.001009184,0.00002452916,0.0001907122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02888585,0.001232947,0.4035589,0.0111583,0.0006314783,0.0006176822,0.007502187,0.00008837833,0.2788896,0.00009554967,0.02656017,0.2407789],"study_design_scores_gemma":[0.005430707,0.0006367931,0.4834081,0.03406366,0.00006354788,0.0001085706,0.0005521119,0.2730509,0.001380957,0.0001160387,0.2005333,0.0006553165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863009,0.004298917,0.0001140973,0.0002203569,0.0001242738,0.0006233944,0.004611655,0.0001065236,0.00359985],"genre_scores_gemma":[0.9653171,0.01904951,0.0005927038,0.00007228543,0.0001872803,0.00001774059,0.01024498,0.0002281404,0.004290275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775087,"threshold_uncertainty_score":0.900711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00899709768831004,"score_gpt":0.2673346038287526,"score_spread":0.2583375061404425,"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."}}