{"id":"W7132869135","doi":"","title":"Self-supervised Learning for Segmentation in Two-Photon Fluorescence Microscopy","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Segmentation; Pipeline (software); Training set; Metric (unit); Pattern recognition (psychology); Annotation; Labeled data","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":[0.002409542,0.0010898,0.001031322,0.000852535,0.0007358438,0.001190228,0.002428075,0.001835696,0.001798161],"category_scores_gemma":[0.004862902,0.0009374477,0.001325868,0.0009057783,0.001415552,0.001726456,0.001472478,0.002546439,0.001153038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206639,"about_ca_system_score_gemma":0.001966111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005497619,"about_ca_topic_score_gemma":0.01062418,"domain_scores_codex":[0.999044,0.0002247759,0.00004119343,0.0003570126,0.0002444831,0.00008849434],"domain_scores_gemma":[0.997349,0.001190298,0.000249238,0.0004917149,0.0006069072,0.0001128236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001682932,0.0002114954,0.00176745,0.0002116556,0.0001243169,0.00008124427,0.0001965374,0.7116769,0.02614779,0.00823898,0.006609854,0.2445655],"study_design_scores_gemma":[0.000003537313,0.00001255329,0.00014694,0.000005230851,0.00000268758,0.000008917465,0.000006177737,0.9903328,0.005303867,0.00379417,0.000377597,0.000005562098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02004919,0.0001965446,0.9742246,0.0002371855,0.00002635899,0.00006782528,0.0002203966,0.00412654,0.0008513507],"genre_scores_gemma":[0.291619,0.0002881111,0.700676,0.0003365036,0.00006070139,0.0003264674,0.001759908,0.001106268,0.003827175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005497619,"threshold_uncertainty_score":0.01601034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008242464767427796,"score_gpt":0.3529197217970119,"score_spread":0.3446772570295841,"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."}}