{"id":"W2946502831","doi":"10.1039/c9sc01331h","title":"Atomic resolution map of the soluble amyloid beta assembly toxic surfaces","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Advanced Institute of Science and Technology; McMaster University","keywords":"BETA (programming language); Resolution (logic); Amyloid (mycology); Amyloid beta; Chemistry; Nanotechnology; Biochemistry; Materials science; Computer science; Inorganic chemistry; Artificial intelligence; Peptide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004171926,0.0001261663,0.00008932242,0.0001897539,0.0003189779,0.0002717222,0.0001782589,0.0002872717,0.001693347],"category_scores_gemma":[0.00009163553,0.0001517797,0.00009983602,0.0001577775,0.0001767569,0.0001922724,0.0001799068,0.001014455,0.0004381013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930068,"about_ca_system_score_gemma":0.0002257721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519341,"about_ca_topic_score_gemma":0.002483069,"domain_scores_codex":[0.9999754,0.000001328134,6.881924e-7,0.00000374894,0.0000137235,0.000005007172],"domain_scores_gemma":[0.9999596,0.000007292874,0.000008303496,0.000005823682,0.00001004261,0.00000896931],"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":[0.00006030198,0.00003565932,0.0007930819,0.00003785966,0.0000100168,0.0002460505,0.00004926551,0.0006909319,0.9928682,0.001620762,0.001112163,0.002475709],"study_design_scores_gemma":[0.00008273265,0.000224159,0.07395291,0.00005519177,0.00006231721,0.003595769,0.0006799833,0.03459147,0.8449752,0.004297614,0.03744792,0.00003468852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695991,0.001667263,0.01194588,0.0009166558,0.00005606965,0.00001821379,0.0008316725,0.0003052095,0.01465988],"genre_scores_gemma":[0.9795664,0.000892325,0.01464968,0.0001893291,0.00001673829,0.00001432452,0.001126874,0.00003574399,0.003508586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001693347,"threshold_uncertainty_score":0.005664766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185676567999995,"score_gpt":0.301164826749323,"score_spread":0.279308061069323,"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."}}