{"id":"W4310193714","doi":"10.1101/2022.11.23.517318","title":"Transformer-based spatial-temporal detection of apoptotic cell death in live-cell imaging","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Apoptosis; Intravital microscopy; In vivo; Programmed cell death; Robustness (evolution); Live cell imaging; Cell; Computer science; Artificial intelligence; Biomedical engineering; Biology; Medicine","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":[0.0007143418,0.0004329871,0.0004907935,0.0006404967,0.0001131046,0.0005021076,0.0008232304,0.0005011867,0.0007999673],"category_scores_gemma":[0.001195034,0.0001547985,0.0004112551,0.0003171479,0.0004238605,0.0004457815,0.0004015191,0.0006192712,0.0003238512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205261,"about_ca_system_score_gemma":0.000452755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893017,"about_ca_topic_score_gemma":0.001960668,"domain_scores_codex":[0.9997466,0.00004057641,0.00001722412,0.00006736349,0.00008667511,0.00004145626],"domain_scores_gemma":[0.9995387,0.0001372981,0.00006838235,0.00005063,0.0001696874,0.00003541338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006063529,0.0002491659,0.007987704,0.00042225,0.0001100218,0.0003732487,0.00009677324,0.2989513,0.4653579,0.003402744,0.002789763,0.2196529],"study_design_scores_gemma":[0.000007083479,0.00006632408,0.001053697,0.000005623698,0.00001196337,0.0001060756,0.00001513313,0.9140312,0.0831098,0.0008734222,0.0007093995,0.00001028231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3481313,0.001038898,0.6441904,0.0002945751,0.0001278891,0.0001278608,0.000582982,0.003239553,0.002266401],"genre_scores_gemma":[0.8995405,0.0003813337,0.09753921,0.000127639,0.00002112811,0.00005002744,0.0005716265,0.00005412806,0.001714359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001893017,"threshold_uncertainty_score":0.004502296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705581278843097,"score_gpt":0.2161846890547487,"score_spread":0.2094791077759056,"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."}}