{"id":"W1573732595","doi":"10.1034/j.1399-0004.2000.580602.x","title":"Factors influencing sib risks for Multiple Sclerosis","year":2000,"lang":"en","type":"article","venue":"Clinical Genetics","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Multiple Sclerosis Society of Canada; Multiple Sclerosis Scientific Research Foundation","keywords":"Trait; Multiple sclerosis; Genetics; Biology; Genetic predisposition; Candidate gene; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004803441,0.000224241,0.000585101,0.00005875155,0.0001915471,0.00003152101,0.000198885,0.0002260792,0.0004468125],"category_scores_gemma":[0.00385565,0.0001741054,0.0004056889,0.0001748291,0.0003257092,0.00003458419,0.00009476795,0.0003655439,0.0001214017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005402417,"about_ca_system_score_gemma":0.0001028725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003433044,"about_ca_topic_score_gemma":0.00003226032,"domain_scores_codex":[0.9976829,0.00009220269,0.0008014779,0.0004875799,0.0003867631,0.0005490329],"domain_scores_gemma":[0.9965808,0.002106094,0.0000857402,0.0005452088,0.0002456846,0.0004364068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002604023,0.0003123017,0.7351436,0.00007174241,0.00016275,0.000001740034,0.0002123624,0.00009214775,0.00264993,0.000001749629,0.002880599,0.2582107],"study_design_scores_gemma":[0.003174628,0.0006528033,0.9529209,0.00009894221,0.00009874344,5.767388e-7,0.0001445287,0.0031067,0.003652249,0.00002731596,0.03593559,0.0001870331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967545,0.0005590118,0.000169374,0.0003874789,0.0001855153,0.0009797459,0.00006581598,0.0000941031,0.0008044928],"genre_scores_gemma":[0.9884065,0.00412858,0.005411781,0.0004869716,0.0005704963,0.0000699805,0.00002869617,0.00004740952,0.0008495318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2580237,"threshold_uncertainty_score":0.7099814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5367063208123765,"score_gpt":0.4756734137647648,"score_spread":0.06103290704761166,"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."}}