{"id":"W2750851336","doi":"10.3390/membranes7030049","title":"Membrane-Accelerated Amyloid-β Aggregation and Formation of Cross-β Sheets","year":2017,"lang":"en","type":"article","venue":"Membranes","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Lipid bilayer; Bilayer; Biophysics; Membrane; Chemistry; Amyloid (mycology); Membrane fluidity; Protein aggregation; Biological membrane; Amyloid fibril; Amyloid β; Biochemistry; Biology; Disease; Medicine","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":[0.0001121854,0.0001069218,0.0002060454,0.00007383574,0.0002799864,0.0001058734,0.00007826892,0.00005987157,0.0001534575],"category_scores_gemma":[0.0001277819,0.00008399465,0.00004912505,0.00004285255,0.0002005188,0.0005725892,0.00003870071,0.00005838111,0.0000298155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001806058,"about_ca_system_score_gemma":0.00005416778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204639,"about_ca_topic_score_gemma":0.00001282856,"domain_scores_codex":[0.9992096,0.00002113822,0.000183701,0.0001523639,0.0002588618,0.0001743537],"domain_scores_gemma":[0.9991489,0.00002595436,0.0001387427,0.0003434692,0.0001877312,0.0001552181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006850737,0.002024685,0.6889949,0.00760056,0.007166413,0.0006990466,0.002136079,0.00004635225,0.1393459,0.0008203764,0.0005489964,0.1437659],"study_design_scores_gemma":[0.004906935,0.0002482318,0.4352261,0.0002175957,0.0002638003,0.0000701714,0.00005406191,0.001667381,0.5568151,0.0001379456,0.0002538188,0.0001389427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921919,0.001484832,0.000007238656,0.0003028162,0.00004257853,0.0003548738,0.0000200775,0.00003111593,0.00556456],"genre_scores_gemma":[0.9990358,0.0005721172,0.00007249997,0.00002731025,0.00004508779,0.00001955509,0.00007643749,0.00001192449,0.0001392915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4174692,"threshold_uncertainty_score":0.3425202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05476115336363765,"score_gpt":0.3590900416490616,"score_spread":0.3043288882854239,"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."}}