{"id":"W4287325919","doi":"10.3791/62307-v","title":"Assessing Functional Metrics of Skeletal Muscle Health in Human Skeletal Muscle Microtissues","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Skeletal muscle; Context (archaeology); Myocyte; Muscle contraction; Computer science; Biology; Anatomy; Biomedical engineering; Bioinformatics; Cell biology; Medicine","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":[0.001077979,0.0004643846,0.0003775508,0.001246276,0.0002524497,0.0005643115,0.0003344185,0.000697941,0.003655846],"category_scores_gemma":[0.0006451,0.0002444224,0.0002965095,0.0007058441,0.0003905383,0.0003662886,0.0004673046,0.0003783885,0.0007823678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359956,"about_ca_system_score_gemma":0.0001903885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124048,"about_ca_topic_score_gemma":0.002245555,"domain_scores_codex":[0.9995043,0.00007601796,0.00004048141,0.0001197212,0.0002213569,0.0000380049],"domain_scores_gemma":[0.9996545,0.00009119438,0.0000700509,0.00004354789,0.0001043168,0.00003635517],"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":[0.001014989,0.0001757904,0.03933123,0.0005926174,0.0002046274,0.0004172802,0.0004501281,0.003198374,0.8481907,0.0006602276,0.001500033,0.104264],"study_design_scores_gemma":[0.0000588673,0.002904672,0.5550705,0.0002294344,0.0004020301,0.003602483,0.0009813837,0.02212899,0.400944,0.001062788,0.01249056,0.0001242317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955801,0.005898569,0.08751146,0.0001985169,0.000117892,0.0003614854,0.003132316,0.0007387056,0.006460884],"genre_scores_gemma":[0.9481449,0.002126944,0.0420839,0.0001758293,0.00003246683,0.0004986397,0.00204976,0.00009070974,0.004796946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003655846,"threshold_uncertainty_score":0.01223004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943325586933574,"score_gpt":0.4327751179175805,"score_spread":0.3933418620482447,"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."}}