{"id":"W3197195319","doi":"10.1002/jbio.202100203","title":"Spectral photokinetic conversion of the fluorescent probes BSB and K114 for improved detection of amyloid assemblies","year":2021,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Photochromic and Fluorescence Chemistry","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canada Research Chairs; Canada Foundation for Innovation; Alzheimer's Drug Discovery Foundation","keywords":"Amyloid (mycology); Fluorescence; Biophysics; Fibril; Amyloid fibril; Chemistry; Protein aggregation; Kinetics; Amyloidosis; Biochemistry; Amyloid β; Pathology; Biology; Disease; Medicine; Optics","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":[0.0002602167,0.0002610317,0.0001705698,0.0001868292,0.0001187526,0.0001715264,0.00023608,0.0003770074,0.00075209],"category_scores_gemma":[0.0002654081,0.0001454305,0.0001884466,0.000156735,0.0002262738,0.0002040478,0.0002159943,0.0004729184,0.0001513946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079209,"about_ca_system_score_gemma":0.0001050464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004636432,"about_ca_topic_score_gemma":0.0005801891,"domain_scores_codex":[0.999882,0.00002259245,0.000005277513,0.00002900978,0.00003975499,0.00002136233],"domain_scores_gemma":[0.9998857,0.00004732164,0.00002772512,0.00001135487,0.00001656019,0.00001129642],"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":[0.00002018893,0.000007200234,0.00004072807,0.00001504927,0.000001231985,0.00001139941,0.00001823532,0.00005102958,0.9990308,0.00004386545,0.00001074605,0.0007495889],"study_design_scores_gemma":[0.000002961342,0.0000432493,0.0007009227,0.000001444846,0.00000229753,0.00003707549,0.000006347793,0.001501177,0.9974989,0.00001512521,0.0001877222,0.000002699946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817478,0.0004119943,0.01686656,0.00006581192,0.00001340884,0.00002857452,0.00005995674,0.000136856,0.0006689939],"genre_scores_gemma":[0.984327,0.0003463829,0.01397821,0.00003402852,0.000003667315,0.00006186735,0.00005323563,0.00002476353,0.001170981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00075209,"threshold_uncertainty_score":0.002515972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081444612173256,"score_gpt":0.2198348471974033,"score_spread":0.2116903859800777,"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."}}