{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008144237,0.0003355825,0.0006561189,0.001354814,0.000179971,0.000863554,0.0002330316,0.0005306769,0.004301793],"category_scores_gemma":[0.001748869,0.0001338568,0.0005706874,0.001233563,0.0001638816,0.0002979073,0.0003125351,0.0004826668,0.0006096784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316088,"about_ca_system_score_gemma":0.0002399505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150754,"about_ca_topic_score_gemma":0.002548921,"domain_scores_codex":[0.9996736,0.00007899911,0.00004912535,0.0000977816,0.00006594665,0.00003457521],"domain_scores_gemma":[0.9985217,0.0004762901,0.0005681968,0.00006363183,0.0002684681,0.0001018051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002776028,0.00009350086,0.9411405,0.0008371569,0.001323085,0.0001633937,0.00007306055,0.0003914694,0.008998199,0.000139582,0.004667855,0.03939622],"study_design_scores_gemma":[0.00005068742,0.0002386671,0.992427,0.0001678639,0.0007283994,0.0005136957,0.0001115249,0.0008441382,0.001562935,0.0002930623,0.003047736,0.00001441053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594526,0.02725678,0.001012692,0.0007746232,0.00017825,0.00007064149,0.00767846,0.00007570245,0.003500372],"genre_scores_gemma":[0.9897647,0.003601788,0.000962025,0.0003320683,0.0001849102,0.00005533374,0.004045756,0.00001279953,0.001040623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004301793,"threshold_uncertainty_score":0.01439089,"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."}}