{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315483,0.001064742,0.001062722,0.001186372,0.0004392867,0.001145517,0.001052883,0.001093286,0.001211989],"category_scores_gemma":[0.000867537,0.0004283556,0.0006670108,0.0007016229,0.0003433959,0.0008311257,0.0007749511,0.001290158,0.001114117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972804,"about_ca_system_score_gemma":0.0003046546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002466671,"about_ca_topic_score_gemma":0.0006418405,"domain_scores_codex":[0.9973035,0.0006658464,0.0001834752,0.0003027719,0.0013242,0.0002203093],"domain_scores_gemma":[0.9987922,0.0003676903,0.0002085998,0.0001783961,0.0003738367,0.00007928919],"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":[0.0001489416,0.0001852698,0.0005913754,0.0001800812,0.00003088319,0.0001128551,0.00004304898,0.000532509,0.9849315,0.0003413738,0.0002976593,0.01260441],"study_design_scores_gemma":[0.00001272577,0.0003742277,0.001503235,0.00001249016,0.00002996205,0.0003284374,0.00001714223,0.002676708,0.9920494,0.000212595,0.002763269,0.00001981353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5270658,0.009852923,0.4492991,0.0006930354,0.000594485,0.0009668696,0.001329886,0.002444321,0.007753687],"genre_scores_gemma":[0.8101087,0.008247592,0.1612569,0.0004475146,0.0001689088,0.001124322,0.001909456,0.0001613156,0.01657533],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001315483,"threshold_uncertainty_score":0.006957054,"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."}}