{"id":"W1887786573","doi":"","title":"Neutralising antibodies to interferon beta in multiple sclerosis","year":2010,"lang":"en","type":"dissertation","venue":"UCL Discovery (University College London)","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibody; Medicine; Multiple sclerosis; In vivo; Immunology; Biomarker; Titer; Biology; Genetics","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":[0.000907967,0.0002513691,0.0002571013,0.0003622736,0.0001231392,0.000484908,0.000223073,0.0003808843,0.001733427],"category_scores_gemma":[0.0005732171,0.0001449443,0.0002274511,0.0001930058,0.0001872937,0.0001624652,0.0002186123,0.0008098083,0.0006251751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002674971,"about_ca_system_score_gemma":0.0002162804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003583796,"about_ca_topic_score_gemma":0.0006007027,"domain_scores_codex":[0.9996539,0.0001094454,0.00002170013,0.00003399295,0.0001449999,0.00003595744],"domain_scores_gemma":[0.999763,0.00006783759,0.00007300915,0.00001741282,0.00005726462,0.00002157903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000696599,0.0003406829,0.004476144,0.001050516,0.00004503678,0.000238303,0.0001800966,0.000282229,0.846554,0.0008059775,0.00191644,0.143414],"study_design_scores_gemma":[0.0002603878,0.01379118,0.04920566,0.0008403457,0.0001626002,0.004047913,0.0002713033,0.00140189,0.8326234,0.001054056,0.09629189,0.00004938335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351333,0.1153078,0.01662445,0.002122192,0.0008153669,0.0005445144,0.0005629485,0.0003026653,0.02858682],"genre_scores_gemma":[0.9289795,0.03962985,0.01203605,0.0008908392,0.0002874408,0.0004138572,0.0005050929,0.00003076548,0.01722646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001733427,"threshold_uncertainty_score":0.005798876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472690603140084,"score_gpt":0.2676305424507771,"score_spread":0.2329036364193762,"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."}}