{"id":"W4317659314","doi":"10.1101/2023.01.20.524941","title":"mini-MEndR: A 96-well mixed species culture assay to co-evaluate human and mouse Pax7 <sup>+</sup> cell-mediated skeletal muscle repair","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","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":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada First Research Excellence Fund; Ontario Institute for Regenerative Medicine; Connaught Fund; Stem Cell Network","keywords":"Skeletal muscle; Cell biology; In vivo; Regeneration (biology); Cell culture; Myocyte; Tissue engineering; Stem cell; Mesenchymal stem cell; Regenerative medicine; Chemistry; Biomedical engineering; Biology; Anatomy; Biotechnology; Medicine; Genetics","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":[0.003427729,0.00251594,0.001070328,0.001741069,0.0006340511,0.001084853,0.00155776,0.001211825,0.005071876],"category_scores_gemma":[0.001012442,0.0009315184,0.00106804,0.001013064,0.0006244402,0.0006560076,0.001009087,0.001777015,0.003232852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263794,"about_ca_system_score_gemma":0.0005707418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006991866,"about_ca_topic_score_gemma":0.002061307,"domain_scores_codex":[0.9941111,0.001716316,0.0009490872,0.0009723153,0.001935826,0.0003152341],"domain_scores_gemma":[0.9981103,0.0005760178,0.0003082487,0.0003489872,0.0004903289,0.000166056],"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":[0.0001087206,0.00010873,0.000289251,0.0001074671,0.00001873939,0.00003695818,0.00006888216,0.0001035029,0.9962091,0.0002373969,0.0002570353,0.002454164],"study_design_scores_gemma":[0.00001556731,0.0003347647,0.001345428,0.00001768461,0.0000302866,0.000154176,0.00003386267,0.003191631,0.9917263,0.00007817334,0.003053792,0.00001828559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2661101,0.004152057,0.7053497,0.0004709411,0.000592354,0.002431853,0.003278343,0.004723507,0.01289116],"genre_scores_gemma":[0.2949278,0.002663131,0.6680449,0.0004286177,0.0001504496,0.007172688,0.006025738,0.0008877913,0.01969883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005071876,"threshold_uncertainty_score":0.0181278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527450229235681,"score_gpt":0.2396307034937142,"score_spread":0.2243562012013574,"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."}}