{"id":"W4206569049","doi":"10.1017/cjn.2021.324","title":"P.043 Long term MS clinical outcomes predicted by baseline serum neurofilament light levels","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Prospective cohort study; Cohort; Gastroenterology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002799585,0.0003292543,0.0004624086,0.0002258382,0.001588617,0.0004103407,0.001441133,0.0002792001,0.00009867207],"category_scores_gemma":[0.0024166,0.0002317535,0.0003464973,0.0006993912,0.003076776,0.00008129045,0.0001518025,0.000893034,0.000001377882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006650909,"about_ca_system_score_gemma":0.002342986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033753,"about_ca_topic_score_gemma":0.01274673,"domain_scores_codex":[0.9957178,0.0009508045,0.00106641,0.0007306518,0.0005165081,0.001017788],"domain_scores_gemma":[0.996704,0.0002248753,0.0007009695,0.0002825243,0.0005916347,0.001495992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003197209,0.00007599232,0.9826095,0.000003611502,0.00002628917,0.001869047,0.00002156529,0.0002014439,0.003851888,0.0001225461,0.00563344,0.005552784],"study_design_scores_gemma":[0.0007324755,0.04049379,0.8702386,0.00005212963,0.00008758933,0.0217638,0.00007099425,0.0002985158,0.01737355,0.003446633,0.04468494,0.0007569946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878759,0.0008529883,0.0008649081,0.008998101,0.0006603631,0.0001345975,0.00008468355,0.00001925062,0.0005091976],"genre_scores_gemma":[0.9865627,0.0007926985,0.00455487,0.007571925,0.0003712084,0.000002598657,0.000005009175,0.0000158995,0.0001230475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123708,"threshold_uncertainty_score":0.9997112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799137266906837,"score_gpt":0.3230272323345444,"score_spread":0.285035859665476,"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."}}