{"id":"W4413465555","doi":"10.3791/68478","title":"Understanding the Changes in Mitochondrial Morphology through Dynamic and Three-dimensional Fluorescence Micrographs","year":2025,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"mitochondrial fusion; Mitochondrial fission; Mitochondrion; Computer science; Organelle; Biology; Biological system; Pipeline (software); Cell biology; Mitochondrial DNA; Fusion; Biophysics; Computational biology; Genetics","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":[0.0004588945,0.000313609,0.0002045208,0.001613057,0.0004487806,0.001018196,0.0004730573,0.0007289637,0.004648791],"category_scores_gemma":[0.0005761849,0.0003546136,0.0003850761,0.0007061044,0.0003240186,0.001029533,0.0005955586,0.001086797,0.001590742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005201555,"about_ca_system_score_gemma":0.0003200473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666055,"about_ca_topic_score_gemma":0.002611351,"domain_scores_codex":[0.9998382,0.00001484333,0.00001391671,0.00003501711,0.0000666972,0.00003116735],"domain_scores_gemma":[0.9996611,0.00009669882,0.0000548094,0.00005412727,0.00009218464,0.00004099655],"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":[0.00008985667,0.00005423019,0.002933779,0.0003054187,0.00002268484,0.0004278343,0.0002901154,0.002242307,0.9560608,0.003319378,0.001614493,0.03263916],"study_design_scores_gemma":[0.00002797666,0.0001985664,0.07053997,0.0002945198,0.00007904024,0.004570055,0.0006373795,0.06595583,0.7838389,0.00562937,0.06803548,0.0001930224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3003996,0.002885987,0.6694191,0.001361327,0.0001937985,0.0002538051,0.005409918,0.006259216,0.0138172],"genre_scores_gemma":[0.4045314,0.004966454,0.5749642,0.0003669501,0.00008397396,0.000265508,0.003862752,0.001605815,0.009352927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004648791,"threshold_uncertainty_score":0.01555181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059853801391885,"score_gpt":0.3762157529505873,"score_spread":0.3356172149366685,"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."}}