{"id":"W2173437179","doi":"10.1379/csc-170r.1","title":"In vivo resolution of oligomers with fluorescence photobleaching recovery histograms","year":2006,"lang":"en","type":"article","venue":"Cell Stress and Chaperones","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; University of Waterloo","funders":"","keywords":"Compartmentalization (fire protection); Photobleaching; Fluorescence recovery after photobleaching; Biophysics; Oligomer; Fluorescence; Fluorescence microscope; Cytoplasm; Chemistry; Fluorophore; Cellular compartment; Confocal microscopy; Microscopy; Protein aggregation; In vivo; Biochemistry; Cell biology; Biology; Enzyme; Cell","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":[0.00008194875,0.00009223621,0.0001057098,0.00005072078,0.0000457004,0.00001067712,0.00008071522,0.00007882402,0.00001685021],"category_scores_gemma":[0.000006758316,0.00007948299,0.0000206523,0.00007104493,0.0001081152,0.000006487074,0.00005178454,0.0000714181,4.728867e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001397579,"about_ca_system_score_gemma":0.00002975722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262105,"about_ca_topic_score_gemma":0.0007892412,"domain_scores_codex":[0.9993038,0.00002705909,0.0001307821,0.0002250722,0.0001128986,0.0002003963],"domain_scores_gemma":[0.9997396,0.00000702098,0.00003679363,0.0001515704,0.00002825534,0.0000367487],"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":[0.000135643,0.00008603459,0.006356469,0.00010531,0.000004076845,0.000005476312,0.00003546015,0.0002338823,0.9917381,0.000031811,0.0001065997,0.001161147],"study_design_scores_gemma":[0.0004161344,0.0003003436,0.002083864,0.00006375136,0.000003125095,0.000003188331,0.0001076756,0.0001526918,0.9941017,0.00001928442,0.002632667,0.0001155883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967505,0.001372357,0.0001855383,0.00003647889,0.00001922399,0.0001385421,0.00001489373,0.000003570906,0.001478937],"genre_scores_gemma":[0.9984691,0.000413617,0.0004480258,0.000009880158,0.00004749506,0.00001967066,0.00002022465,0.00001178575,0.0005602476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004272606,"threshold_uncertainty_score":0.3419642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005663269223120161,"score_gpt":0.215574243867022,"score_spread":0.2099109746439018,"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."}}