{"id":"W1964978565","doi":"10.1017/s1431927613002134","title":"Near Field IR Microscopy of Amyloid Fibrils of beta2-Microglobulin","year":2013,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beta-2 microglobulin; Amyloid fibril; Microscopy; Materials science; Fibril; Biophysics; Pathology; Medicine; Amyloid β; Biology; Disease; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002151416,0.0002431675,0.0004866892,0.0001047637,0.00008267069,0.00004277619,0.0004091004,0.0003288465,0.000517191],"category_scores_gemma":[0.0001324161,0.0002131926,0.0002629536,0.0003313533,0.0006901486,0.000009235596,0.0003243753,0.0001785562,0.00001426636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001502272,"about_ca_system_score_gemma":0.00007948172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005155039,"about_ca_topic_score_gemma":0.00001081969,"domain_scores_codex":[0.9982775,0.00005595743,0.0005598912,0.0004919379,0.0001994745,0.0004151691],"domain_scores_gemma":[0.9988308,0.00005631719,0.00019256,0.0005374988,0.0002097495,0.0001730646],"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":[0.00009301878,0.0001093858,0.006028301,0.0001116194,0.000186193,7.609676e-7,0.00003905175,3.55466e-7,0.9772314,0.0000123699,0.01386335,0.00232424],"study_design_scores_gemma":[0.000324687,0.000414559,0.0005096137,0.00004771445,0.00007914772,0.000007997771,0.00004692754,0.00001927955,0.9791623,0.0001831315,0.01900454,0.0002001241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924023,0.003582508,0.002627296,0.000331852,0.00003377753,0.0002284279,0.00006623152,0.00001389478,0.000713756],"genre_scores_gemma":[0.9712025,0.001979715,0.0248519,0.0003786644,0.00006925259,0.00002844458,0.0001170474,0.00002683521,0.001345638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222246,"threshold_uncertainty_score":0.8693742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006091663122664076,"score_gpt":0.2928552390255821,"score_spread":0.2867635759029181,"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."}}