{"id":"W2020061896","doi":"10.1088/1478-3975/8/6/066009","title":"Reverse engineering an amyloid aggregation pathway with dimensional analysis and scaling","year":2011,"lang":"en","type":"article","venue":"Physical Biology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Mitacs; National Institutes of Health; Michael Smith Health Research BC","keywords":"Thioflavin; Monomer; Oligomer; Nucleation; Chemistry; Fibril; Biophysics; Amyloid (mycology); Nucleus; Scaling; Polymer; Biochemistry; Biology; Polymer chemistry; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003306861,0.00008364956,0.0001854983,0.00008076881,0.00003293773,0.000003072503,0.00002143332,0.00002932576,0.00002548855],"category_scores_gemma":[0.00001357496,0.0000542798,0.00004696109,0.000179478,0.00007180556,0.00005066412,0.00001887549,0.00006763086,0.00001404265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001305909,"about_ca_system_score_gemma":0.00002448723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009997247,"about_ca_topic_score_gemma":0.000004396852,"domain_scores_codex":[0.999483,0.00002535458,0.0000588488,0.0002001745,0.00007253124,0.000160033],"domain_scores_gemma":[0.9995812,0.00003152656,0.00002023,0.0001192652,0.00004167239,0.0002061378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003172601,0.004126064,0.8435621,0.00009254379,0.04430076,0.0004742086,0.001323959,0.0001020668,0.05524214,0.006642508,0.00001953606,0.04094151],"study_design_scores_gemma":[0.003742126,0.003845457,0.8923395,0.00007445954,0.005188432,0.00004623415,0.00008408489,0.03653935,0.05584781,0.001765846,0.00008208965,0.0004446556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993696,0.0001354812,0.0002239611,0.00002756719,0.000005488018,0.00009202283,0.0000124294,0.00003187896,0.0001016067],"genre_scores_gemma":[0.998459,0.000008562669,0.00129486,0.00003599206,0.00005665829,0.00001216069,0.0001219445,0.000006662009,0.00000412804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04877736,"threshold_uncertainty_score":0.2213466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522591387772894,"score_gpt":0.2801088286417853,"score_spread":0.2548829147640564,"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."}}