{"id":"W1542045929","doi":"10.1126/science.305.5685.773","title":"Genes Crisscross Disease Lines","year":2004,"lang":"en","type":"article","venue":"Science","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical immunology; Disease; Gene; Biology; Immunology; Genetics; Medicine; Computational biology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470922,0.000987211,0.0005842764,0.001210985,0.001882136,0.003854241,0.0009482034,0.002032731,0.02577624],"category_scores_gemma":[0.001595957,0.0004024931,0.0004181988,0.0007468979,0.002347813,0.001158354,0.00194896,0.005567282,0.009340201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007056578,"about_ca_system_score_gemma":0.008201874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05126662,"about_ca_topic_score_gemma":0.1344093,"domain_scores_codex":[0.9988014,0.0001350303,0.00004801459,0.0001617749,0.0005671065,0.0002866886],"domain_scores_gemma":[0.998159,0.0001519061,0.00009020675,0.0001617047,0.0006468917,0.000790209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005631028,0.0001100051,0.002386221,0.0003208769,0.00009331988,0.001168172,0.0006643311,0.0004159029,0.07023907,0.08140317,0.6698128,0.172823],"study_design_scores_gemma":[0.00003419362,0.00004499462,0.001098342,0.0001068584,0.00001795602,0.000393018,0.0001426266,0.0000619463,0.004679024,0.00424027,0.9891633,0.00001744978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04605708,0.2001379,0.02423448,0.299212,0.08996287,0.0002922851,0.00662046,0.003683424,0.3297994],"genre_scores_gemma":[0.1841919,0.0835437,0.01624716,0.08187,0.008353155,0.0002070144,0.006590582,0.001092401,0.617904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05126662,"threshold_uncertainty_score":0.1019364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009707520752151824,"score_gpt":0.2542133132421616,"score_spread":0.2445057924900098,"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."}}