{"id":"W7144178246","doi":"10.15083/0002011140","title":"Monitoring and mathematical modeling of mitochondrial ATP in myotubes at single-cell level reveals two distinct population with different kinetics","year":2023,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Institute of Genetics; Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Population; Kinetics; Myogenesis; Mitochondrion; Terminal (telecommunication)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004946608,0.000376519,0.0006796265,0.0003669529,0.0003407839,0.0007886521,0.0008677961,0.0008945228,0.001180082],"category_scores_gemma":[0.001160339,0.0003244111,0.001033211,0.000400732,0.0005098862,0.0006649345,0.0004638503,0.0006404931,0.0002894629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009782858,"about_ca_system_score_gemma":0.000798631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006577347,"about_ca_topic_score_gemma":0.005247992,"domain_scores_codex":[0.9998716,0.00001964486,0.000008804312,0.00004580033,0.0000367882,0.00001731739],"domain_scores_gemma":[0.9996554,0.0001955431,0.00004941993,0.00002462465,0.00005177741,0.00002329388],"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":[0.00008586673,0.00007463605,0.003641153,0.0002367677,0.00006120114,0.0002459984,0.0002495094,0.9130867,0.04112695,0.03146145,0.0008950958,0.008834621],"study_design_scores_gemma":[0.000001604638,0.000005710711,0.0003957243,0.000002700965,0.000004616734,0.00001650312,0.000008967354,0.9972941,0.0009638268,0.001164768,0.0001359369,0.000005509826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4791816,0.00152678,0.5034828,0.001585379,0.00008745784,0.00008679627,0.0007859647,0.000370237,0.012893],"genre_scores_gemma":[0.962675,0.0008351712,0.02788214,0.00007408474,0.00001978918,0.0001369277,0.0003164841,0.00008361614,0.00797686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006577347,"threshold_uncertainty_score":0.01307809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687198069357966,"score_gpt":0.280503178558041,"score_spread":0.2436311978644614,"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."}}