{"id":"W4319933720","doi":"10.1016/j.bpj.2022.11.2356","title":"Apollo-IRE1: A genetically encoded sensor for live cell and multiplexed imaging of ER stress","year":2023,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Apollo; Stress (linguistics); Multiplexing; Live cell imaging; Unfolded protein response; Biology; Cell; Genetics; Computer science; Gene; Telecommunications; Zoology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006590626,0.0008314803,0.0007236348,0.0004008592,0.0004157864,0.0009685124,0.001185924,0.001738441,0.001969942],"category_scores_gemma":[0.0003905825,0.000511725,0.0003963335,0.0004070749,0.0006392365,0.001044149,0.000607627,0.002300188,0.001183102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014128,"about_ca_system_score_gemma":0.0005531615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004455506,"about_ca_topic_score_gemma":0.001155992,"domain_scores_codex":[0.9994484,0.00005702597,0.00002489731,0.0002169497,0.0001608573,0.0000919579],"domain_scores_gemma":[0.9996873,0.00007234989,0.0000729302,0.00005031015,0.00004261416,0.0000744261],"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":[0.0001061945,0.00003303154,0.0000596501,0.00004657549,0.000005147338,0.00002374603,0.00001093301,0.00005939545,0.9976375,0.0002182494,0.0003570752,0.001442469],"study_design_scores_gemma":[0.00001563376,0.00002519716,0.0003684156,0.000003075869,0.000005044201,0.00009314307,0.000006830332,0.001254368,0.9957482,0.00006263578,0.00240899,0.000008390531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7804273,0.003347018,0.1967015,0.002739354,0.0006837224,0.0003122579,0.004460332,0.005117623,0.00621083],"genre_scores_gemma":[0.8013398,0.002474185,0.1673253,0.001360536,0.0001769063,0.0005997926,0.004720543,0.0007296827,0.02127327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001969942,"threshold_uncertainty_score":0.01025057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008271159857850116,"score_gpt":0.2503086845015965,"score_spread":0.2420375246437464,"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."}}