{"id":"W4396851731","doi":"10.21203/rs.3.rs-4329965/v1","title":"Angiogenesis biomarkers discriminate multiple sclerosis phenotypes","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Phenotype; Multiple sclerosis; Angiogenesis; Medicine; Computational biology; Biology; Cancer research; Genetics; Immunology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009220918,0.0003378443,0.0004879883,0.001120308,0.0002521782,0.0002579599,0.0002807073,0.0003474052,0.0009234016],"category_scores_gemma":[0.0007563086,0.0002788338,0.0006644899,0.0006951919,0.0002167486,0.00004309099,0.001591554,0.001782734,0.0009501578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479572,"about_ca_system_score_gemma":0.0005957175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003661,"about_ca_topic_score_gemma":0.0001511868,"domain_scores_codex":[0.9966726,0.0002205279,0.0004002968,0.0009004942,0.001104263,0.0007018674],"domain_scores_gemma":[0.9975125,0.0004027118,0.0000613044,0.0009397882,0.0007235376,0.0003601716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001897299,0.001813027,0.0127401,0.02181394,0.004224861,0.001018519,0.003667324,0.0002352779,0.6278297,0.001513538,0.2191356,0.1041108],"study_design_scores_gemma":[0.004797371,0.003427085,0.1391735,0.07859571,0.00288171,0.0002303613,0.009396216,0.03081335,0.5592823,0.01642119,0.1516785,0.003302658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526252,0.01419756,0.0001414479,0.00775825,0.001774151,0.002461939,0.001366948,0.0005945002,0.01908003],"genre_scores_gemma":[0.9945361,0.000841911,0.0007312605,0.00004865177,0.0008044503,0.0003732241,0.0004850119,0.0001279396,0.002051467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264334,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1858728431937738,"score_gpt":0.4056808456646032,"score_spread":0.2198080024708294,"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."}}