{"id":"W3170579364","doi":"10.2144/btn-2020-0164","title":"Apoptosis Assessment in High-Content and High-Throughput Screening Assays","year":2021,"lang":"en","type":"article","venue":"BioTechniques","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Terminal deoxynucleotidyl transferase; Apoptosis; TUNEL assay; High-content screening; High-throughput screening; In Situ Nick-End Labeling; Biology; Molecular biology; Intracellular; Mycobacterium tuberculosis; Throughput; Computational biology; Cell biology; Tuberculosis; Biochemistry; Cell; Computer science; Pathology; Medicine","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":[0.0003713306,0.0002087413,0.0002753988,0.0001083794,0.00005868423,0.00007357719,0.0001580171,0.0003007234,0.00002693452],"category_scores_gemma":[0.00007414486,0.0002132117,0.0000927943,0.0001958319,0.00008132055,0.00001185344,0.0003629905,0.0002096471,0.000001057006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003974366,"about_ca_system_score_gemma":0.00006148632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007335999,"about_ca_topic_score_gemma":0.0001760053,"domain_scores_codex":[0.9985405,0.0001306055,0.0003136058,0.0005942262,0.0001609685,0.0002600834],"domain_scores_gemma":[0.9991666,0.00001550277,0.00009376791,0.0005371267,0.000121418,0.00006558298],"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":[0.00001094106,0.00007982412,0.004567711,0.00001462144,0.00004574791,0.0000157709,0.000008152162,8.817354e-7,0.9810044,0.0004894722,0.002241072,0.01152142],"study_design_scores_gemma":[0.0002311792,0.0001304761,0.008153594,0.00004660953,0.00002868881,0.00001065874,0.00004983712,0.00003233635,0.9832798,0.0003468534,0.007437249,0.0002527104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8039275,0.001101007,0.1920085,0.001068307,0.00002812326,0.0003007551,0.00001182047,0.0001857877,0.001368207],"genre_scores_gemma":[0.8284732,0.002013842,0.1684305,0.0004392605,0.0000764581,0.00006251783,0.0001729695,0.00002701588,0.0003042347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454568,"threshold_uncertainty_score":0.8694519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806640477721362,"score_gpt":0.2841979598916707,"score_spread":0.2661315551144571,"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."}}