{"id":"W4411057339","doi":"10.1101/2025.06.05.657880","title":"iPSC-derived skeletal muscle spheroids for Duchenne Muscular Dystrophy modeling","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defeat Duchenne Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Duchenne muscular dystrophy; Spheroid; Skeletal muscle; Muscular dystrophy; Anatomy; Medicine; Chemistry; Internal medicine; Biochemistry","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":[0.0004196707,0.0003936962,0.0004105248,0.0004693244,0.0002095198,0.0004096873,0.0002650169,0.0005045588,0.001573663],"category_scores_gemma":[0.000178974,0.0001757449,0.0004685754,0.0002695578,0.0002281694,0.0002122835,0.0003559815,0.0008060525,0.0008072039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866714,"about_ca_system_score_gemma":0.0002942499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007540545,"about_ca_topic_score_gemma":0.001283753,"domain_scores_codex":[0.9997224,0.00002896937,0.00004368913,0.00006181058,0.0001177431,0.00002534892],"domain_scores_gemma":[0.9997835,0.00005248193,0.00004471307,0.00004135007,0.00004421204,0.00003377708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006871163,0.00006369597,0.0005696972,0.0002267206,0.00001923895,0.0002297329,0.0001088446,0.002008609,0.9906428,0.0003750756,0.0004167048,0.005270167],"study_design_scores_gemma":[0.00002178878,0.0003997671,0.004610357,0.00009536265,0.00008954503,0.0006259301,0.00008615619,0.01405669,0.960451,0.0002197509,0.01932346,0.00002029287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8281054,0.007576977,0.1367945,0.0005105281,0.0004953411,0.0008615121,0.008446411,0.001370544,0.01583877],"genre_scores_gemma":[0.8988018,0.004794665,0.07824212,0.0002806665,0.00004622824,0.00113114,0.007963864,0.0002140338,0.008525519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001573663,"threshold_uncertainty_score":0.005264401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009722108172457465,"score_gpt":0.2036754393077614,"score_spread":0.1939533311353039,"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."}}