{"id":"W2997573363","doi":"","title":"Imaging outcome measures of neuroprotection and repair in MS","year":2019,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Multiple sclerosis; Neuroprotection; Diffusion MRI; Medical physics; Medicine; Diffusion imaging; Clinical trial; Magnetic resonance imaging; Neuroimaging; Pathology; Radiology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002475478,0.0001207504,0.0003515549,0.0003924096,0.00007869298,0.00000640708,0.00008519414,0.00004125623,0.0000460278],"category_scores_gemma":[0.0001717681,0.0001217748,0.0001151882,0.0004663957,0.0001321455,0.0005254021,0.0002171747,0.0002171652,0.0000139787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500176,"about_ca_system_score_gemma":0.0000607099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044667,"about_ca_topic_score_gemma":0.0003786779,"domain_scores_codex":[0.9988695,0.0000938021,0.0001555779,0.0003099162,0.0003463061,0.0002248514],"domain_scores_gemma":[0.9994066,0.00009245704,0.0000683437,0.00026917,0.0000916721,0.00007173936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009241736,0.0001194071,0.9776617,0.0003002249,0.00006052212,0.0001360013,0.0002726294,0.00002338743,0.01866002,0.0005265824,0.0005759946,0.0007393494],"study_design_scores_gemma":[0.003241562,0.0001485753,0.9890443,0.000118466,0.00003168796,0.00001422318,0.001880093,0.0027244,0.0003785279,0.00001261605,0.0022891,0.0001164427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953622,0.0001336656,0.00009183669,0.0008772604,0.00008382519,0.0007142304,0.0001031849,0.00005005086,0.002583764],"genre_scores_gemma":[0.9931712,0.0001713667,0.0001985996,0.00006418036,0.00001653591,0.000001057736,0.000003321966,0.00001143173,0.006362366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01828149,"threshold_uncertainty_score":0.4965833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030833187308675,"score_gpt":0.2520030955324786,"score_spread":0.2211699082238036,"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."}}