{"id":"W2591730025","doi":"10.1083/jcb.201602028","title":"Unique spectral signatures of the nucleic acid dye acridine orange can distinguish cell death by apoptosis and necroptosis","year":2017,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Canada Research Chairs; Alberta Innovates - Health Solutions; Multiple Sclerosis Society of Canada; Multiple Sclerosis Society","keywords":"Necroptosis; Acridine orange; Programmed cell death; Apoptosis; Nucleic acid; RNA; Biology; Cell biology; Necrosis; Cell; Cytoplasm; Molecular biology; Biochemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003125856,0.0001343133,0.0001985181,0.00002130199,0.0002543399,0.00001994724,0.0004925329,0.0001772481,0.00001856978],"category_scores_gemma":[0.00006301335,0.00007088336,0.0001125273,0.0000249951,0.0002280998,0.000003849356,0.0001645528,0.0001759601,2.732642e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001041937,"about_ca_system_score_gemma":0.00003123294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008506217,"about_ca_topic_score_gemma":0.00002632203,"domain_scores_codex":[0.9992464,0.0001441669,0.0002423464,0.0001187075,0.0000750901,0.0001733233],"domain_scores_gemma":[0.9988487,0.0000234642,0.0006031704,0.000359716,0.0001102781,0.00005469889],"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":[0.00007597337,0.00003719042,0.0008490394,0.00001484943,0.00003093565,3.743741e-7,0.00008160468,0.000009998326,0.9976385,0.00006089895,0.0005091536,0.0006914418],"study_design_scores_gemma":[0.0004372851,0.0004287848,0.002599244,0.00001297557,0.00008204916,0.00001346141,0.00004755353,0.000038045,0.9926692,0.0003462728,0.003234244,0.00009094053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959403,0.002164687,0.000176391,0.000546155,0.0002522995,0.0001008778,0.00002777514,0.000001661703,0.0007898591],"genre_scores_gemma":[0.9966198,0.002480379,0.0002103122,0.00009563872,0.0001921003,8.033084e-7,0.000007821745,0.00001355096,0.0003795445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004969396,"threshold_uncertainty_score":0.289054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007262072396467411,"score_gpt":0.2269063766074469,"score_spread":0.2196443042109794,"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."}}