{"id":"W2766981357","doi":"10.1016/j.jalz.2017.07.225","title":"[O2–14–03]: TARGETING OF TOXIC AMYLOID‐BETA OLIGOMER SPECIES BY MONOCLONAL ANTIBODY PMN310: PRECISION DRUG DESIGN FOR ALZHEIMER's DISEASE","year":2017,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of British Columbia","funders":"","keywords":"Epitope; Neurotoxicity; Thioflavin; Monoclonal antibody; Antibody; Neurodegeneration; In vitro; Oligomer; Chemistry; Amyloid (mycology); In vivo; Amyloid beta; Molecular biology; Biochemistry; Biology; Alzheimer's disease; Immunology; Medicine; Toxicity; Pathology; Peptide; 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":[0.0002021495,0.0002872356,0.0002186374,0.0001371261,0.0001047184,0.0002770968,0.0003363772,0.0003094569,0.0007054966],"category_scores_gemma":[0.0001221601,0.0001078163,0.0001134422,0.0001349879,0.0001285284,0.0001882993,0.0001920771,0.0002717766,0.0003007204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081188,"about_ca_system_score_gemma":0.0004184637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257593,"about_ca_topic_score_gemma":0.001386468,"domain_scores_codex":[0.9999354,0.000008208751,0.00000276283,0.000015962,0.00002035508,0.00001728299],"domain_scores_gemma":[0.9999757,0.000002399134,0.000006433723,0.000001694754,0.000006127444,0.000007653777],"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":[0.0005729041,0.0002241645,0.0006554867,0.0001653152,0.00001897128,0.0002480808,0.00002936379,0.009744938,0.9295584,0.002224233,0.001100192,0.05545802],"study_design_scores_gemma":[0.0004571151,0.002665265,0.00244976,0.00003092236,0.00004999755,0.0006561952,0.00002099255,0.0458031,0.9218727,0.001212113,0.02475489,0.00002689683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246973,0.003641885,0.05407694,0.0004430988,0.0000829771,0.0003609767,0.000367905,0.0005753576,0.01575353],"genre_scores_gemma":[0.962888,0.001881282,0.02888142,0.0002196531,0.00001242171,0.0001042701,0.0003725453,0.00003655825,0.005603969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001257593,"threshold_uncertainty_score":0.002500534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912359649691395,"score_gpt":0.3381133300343772,"score_spread":0.2889897335374632,"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."}}