{"id":"W4411996053","doi":"10.1109/tase.2025.3585728","title":"Automated Live Cell Evaluation via a CNN-Transformer Combined Microscopy Image Enhancement Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CReATe Fertility Centre; University of Toronto","funders":"","keywords":"Artificial intelligence; Microscopy; Computer vision; Transformer; Computer science; Materials science; Biomedical engineering; Engineering; Electrical engineering; Voltage; Optics; Physics","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":[0.0009436256,0.000183287,0.0001482894,0.0004364804,0.000480888,0.0003629373,0.0004352824,0.00005511736,0.00001145127],"category_scores_gemma":[0.00001873488,0.000189469,0.0000332671,0.00179221,0.0001165255,0.001926596,0.000005578897,0.0001592656,0.00001944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272374,"about_ca_system_score_gemma":0.0002481588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006705553,"about_ca_topic_score_gemma":0.000001048531,"domain_scores_codex":[0.9983405,0.00002382797,0.0002949369,0.0004485745,0.0005368551,0.0003553182],"domain_scores_gemma":[0.9990723,0.00006189662,0.00006937388,0.000325833,0.0003947844,0.00007582852],"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":[0.000007024492,0.00007831288,0.000001338549,0.00007207337,0.000008740125,7.587491e-7,0.0005108848,0.04263034,0.9060148,0.0001797136,0.0001461702,0.05034986],"study_design_scores_gemma":[0.0002118025,0.00004482171,0.00008149972,0.00008267811,0.00001023286,0.000001700484,0.000008620197,0.6449497,0.3541586,0.0002910774,0.00004216199,0.0001171673],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007285075,0.00006328778,0.9893861,0.0002710292,0.0005306652,0.0004255073,9.341231e-7,0.001714165,0.0003231992],"genre_scores_gemma":[0.633165,0.0000250875,0.3665068,0.0001366649,0.000005874992,0.0001125781,6.604575e-7,0.000006608328,0.00004072279],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6258799,"threshold_uncertainty_score":0.7726322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491334443541025,"score_gpt":0.2814869170517844,"score_spread":0.2739955826082434,"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."}}