{"id":"W4206813682","doi":"10.1002/alz.058532","title":"TDP‐43 aggregation and inhibition using antibodies targeting RRM2‐CTD domain","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Thioflavin; Protein aggregation; Fibril; Antibody; Chemistry; Biophysics; In vitro; Amyloid (mycology); Molecular biology; Biochemistry; Biology; Medicine; Pathology; Immunology; Disease; Alzheimer's disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006062484,0.000805398,0.0003777103,0.0003641999,0.0001886161,0.0001891375,0.0004782549,0.0005698042,0.0008129427],"category_scores_gemma":[0.0002068654,0.0002480188,0.0004986469,0.0002766317,0.0002360345,0.0001785399,0.0002101216,0.0006723756,0.0003848818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005365637,"about_ca_system_score_gemma":0.0001947106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008321885,"about_ca_topic_score_gemma":0.0009572187,"domain_scores_codex":[0.9994862,0.00009935274,0.00006953556,0.0001161661,0.0001343371,0.00009441858],"domain_scores_gemma":[0.9998717,0.00003418015,0.00003397676,0.00001552289,0.00002772582,0.00001681921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007249677,0.00003731501,0.00004096387,0.00003473444,0.000005739488,0.00002664889,0.000005297968,0.00005000213,0.9987158,0.00003149213,0.00005470814,0.0009249289],"study_design_scores_gemma":[0.00001991458,0.0003765646,0.00163516,0.000005970559,0.00001670317,0.0002096137,0.000003401753,0.0009070096,0.9953449,0.00001387916,0.001463243,0.000003496443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573455,0.01619236,0.02038625,0.0003850963,0.0001804939,0.0001405588,0.0006032948,0.000494117,0.004272287],"genre_scores_gemma":[0.963626,0.005898757,0.02385729,0.0002466183,0.00006492074,0.0002366247,0.001265737,0.00006707908,0.004737032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008321885,"threshold_uncertainty_score":0.003893018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04372038290260834,"score_gpt":0.3119524389455481,"score_spread":0.2682320560429398,"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."}}