{"id":"W2886645328","doi":"10.1002/cpmo.47","title":"Muscle Stem Cell Immunostaining","year":2018,"lang":"en","type":"article","venue":"Current Protocols in Mouse Biology","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Regenerative Medicine; Natural Science Foundation of Guangdong Province; Canadian Institutes of Health Research; Sun Yat-sen University; Medical University of South Carolina","keywords":"Skeletal muscle; Immunostaining; Stem cell; Regenerative medicine; Muscular dystrophy; mdx mouse; Regeneration (biology); Myocyte; Duchenne muscular dystrophy; Biology; Progenitor cell; Cell biology; Pathology; Medicine; Dystrophin; Immunology; Anatomy; Immunohistochemistry","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":[0.001701284,0.001743394,0.001220581,0.003340471,0.00154917,0.0008590156,0.001375577,0.001816008,0.03235993],"category_scores_gemma":[0.0006710127,0.00110627,0.001364994,0.001704743,0.0009173799,0.0009072778,0.0008030143,0.002212125,0.01527051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006565442,"about_ca_system_score_gemma":0.00131467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437414,"about_ca_topic_score_gemma":0.004316587,"domain_scores_codex":[0.9981583,0.0001452568,0.0002342309,0.0007061762,0.0004774792,0.0002785858],"domain_scores_gemma":[0.9993296,0.00007097871,0.00005616089,0.0001522645,0.0002581596,0.0001329841],"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":[0.0001399605,0.0001103627,0.0008695017,0.0009757871,0.00005827794,0.0006861148,0.0002051215,0.0003440093,0.9656969,0.00518782,0.004862359,0.02086377],"study_design_scores_gemma":[0.0002351772,0.0007679834,0.01587211,0.0009050333,0.0003989671,0.005682268,0.0003695749,0.009566508,0.5633005,0.004325,0.3984607,0.0001162567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1710913,0.02817653,0.6094106,0.001645726,0.003918518,0.005087831,0.02034963,0.01266246,0.1476574],"genre_scores_gemma":[0.1724764,0.02001233,0.6237047,0.001829271,0.0006573218,0.008478315,0.03487711,0.003084103,0.1348804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03235993,"threshold_uncertainty_score":0.1082547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054899365583008,"score_gpt":0.3414063196624534,"score_spread":0.3108573260066233,"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."}}