{"id":"W2143709080","doi":"10.1002/mus.10221","title":"Biopsy sampling requirements for the estimation of muscle capillarization","year":2002,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Sports injuries and prevention","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Biopsy; Tibialis anterior muscle; Muscle biopsy; Blood capillary; Sampling (signal processing); Medicine; Anatomy; Pathology; Surgery; Skeletal muscle; Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002426645,0.00007054515,0.0001182277,0.00004245423,0.0001070572,0.00001209648,0.00004932683,0.00005049284,0.0003799093],"category_scores_gemma":[0.0001050868,0.0000523948,0.00008861446,0.0001337327,0.00002636922,0.00008004708,0.00001478237,0.00004341514,0.00000620017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002663525,"about_ca_system_score_gemma":0.000008399226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007322401,"about_ca_topic_score_gemma":0.000004829764,"domain_scores_codex":[0.9993309,0.00001134163,0.0002537086,0.0001242834,0.0001609087,0.0001188174],"domain_scores_gemma":[0.9994605,0.00005774008,0.0001375448,0.0002261435,0.00008898374,0.00002913037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001137551,0.0003644526,0.003726872,0.0004587678,0.0001331377,0.000003498508,0.002364022,0.002579223,0.0453799,0.003918566,0.00370145,0.9372563],"study_design_scores_gemma":[0.004561179,0.0008823442,0.649151,0.000570741,0.0008256651,0.00002473855,0.001047854,0.2750863,0.01202395,0.00289875,0.05250466,0.0004227289],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014166,0.0007583848,0.09368227,0.001261452,0.0005129048,0.001001523,0.0000223724,0.00005988788,0.001284583],"genre_scores_gemma":[0.9939902,0.00004791922,0.005111998,0.00009317732,0.0001254519,0.00003217929,0.00007400464,0.00001469062,0.000510418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9368336,"threshold_uncertainty_score":0.4159741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970570903211916,"score_gpt":0.3207999208943991,"score_spread":0.25109421186228,"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."}}