{"id":"W2061149753","doi":"10.1007/s12192-011-0279-1","title":"Erratum to: Multiphoton ANS fluorescence microscopy as an in vivo sensor for protein misfolding stress","year":2011,"lang":"en","type":"erratum","venue":"Cell Stress and Chaperones","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MaRS; Hospital for Sick Children; University Health Network; University of Toronto; SickKids Foundation; Toronto General Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Ontario Ministry of Health and Long-Term Care","keywords":"Multiphoton fluorescence microscope; Fluorescence microscope; Biophysics; In vivo; Fluorescence; Cell biology; Microscopy; Chemistry; Protein folding; Biology; Pathology; Medicine; Optics; Physics; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001150568,0.0007320754,0.0005901219,0.0001694395,0.0001908392,0.0001015587,0.000609801,0.001040223,0.00003370085],"category_scores_gemma":[0.00005803226,0.0007428783,0.0001225901,0.0001145821,0.000221749,0.00002196362,0.0002866787,0.0004752089,0.000003181684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004438162,"about_ca_system_score_gemma":0.0001489663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004440422,"about_ca_topic_score_gemma":0.0008771016,"domain_scores_codex":[0.997037,0.00006659917,0.00046969,0.001439031,0.0001765662,0.0008111232],"domain_scores_gemma":[0.9985483,0.00001005097,0.0002396655,0.000758838,0.0001569261,0.0002862488],"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":[0.0003001476,0.0002382611,0.0004261347,0.0007409359,0.00001687716,0.00001466362,0.0004280971,0.00000311543,0.9799287,0.00001013815,0.01728663,0.0006062688],"study_design_scores_gemma":[0.0004911912,0.0008660812,0.00006225864,0.001097767,0.00002416405,0.000004130859,0.0005773725,0.00003995886,0.9529186,0.00005984991,0.04300295,0.0008556934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623347,0.01126046,0.004776441,0.0001153968,0.005164307,0.007992531,0.004726292,0.0002394579,0.003390417],"genre_scores_gemma":[0.3532605,0.02476371,0.3276933,0.001176371,0.006101013,0.007530675,0.009970461,0.001866564,0.2676374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6090742,"threshold_uncertainty_score":0.9995022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057768873321061,"score_gpt":0.2733723206339686,"score_spread":0.262794631900758,"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."}}