{"id":"W4415208646","doi":"10.1038/s42255-025-01400-z","title":"EMito-Metrix enables automated evaluation of mitochondrial morphology across species","year":2025,"lang":"en","type":"letter","venue":"Nature Metabolism","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quebec Rehabilitation Research Network; Institut Universitaire de Gériatrie de Montréal; Group for Research in Decision Analysis; Université du Québec à Montréal; McGill University Health Centre; Centre hospitalier de l'Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Trois-Rivières","funders":"CIHR Skin Research Training Centre; Fonds de Recherche du Québec - Santé; Government of Canada; Institut National Du Cancer; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Morphology (biology); Ectotherm; Mitochondrial DNA; Identification (biology)","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":[0.003677331,0.0005905849,0.0006217791,0.0006542899,0.0006621551,0.001731794,0.001141664,0.005012079,0.005649765],"category_scores_gemma":[0.008109843,0.0004833218,0.0003912348,0.0002972072,0.001328076,0.001466856,0.001306066,0.004432342,0.007319625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007816055,"about_ca_system_score_gemma":0.00048482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009732692,"about_ca_topic_score_gemma":0.003736987,"domain_scores_codex":[0.9985092,0.000273535,0.0001004873,0.0001906481,0.0007925519,0.0001335495],"domain_scores_gemma":[0.9941918,0.002810308,0.0002404055,0.0006935471,0.001590289,0.0004736834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007577406,0.00006385853,0.005013794,0.0001929369,0.00006335892,0.001391999,0.0001665369,0.0003294944,0.03679009,0.00878353,0.7507474,0.1956992],"study_design_scores_gemma":[0.0001621657,0.0002031886,0.004290865,0.00008497428,0.00004695586,0.003535706,0.000113559,0.009259038,0.03999903,0.01682599,0.9253636,0.0001149071],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02607714,0.009605981,0.2160595,0.6252515,0.05261127,0.0003811422,0.003932621,0.01856937,0.04751151],"genre_scores_gemma":[0.2065494,0.007935492,0.2782347,0.3004053,0.05539441,0.001453422,0.004198101,0.004853624,0.1409756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005649765,"threshold_uncertainty_score":0.01944786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399736756199395,"score_gpt":0.3130724114062259,"score_spread":0.2990750438442319,"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."}}