{"id":"W4224246698","doi":"10.1139/apnm-2021-0810","title":"The influence of ultrasound image depth and gain on skeletal muscle echo intensity","year":2022,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intensity (physics); Ultrasound; Echo (communications protocol); Sagittal plane; Image quality; Image (mathematics); Physics; Anatomy; Medicine; Optics; Acoustics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002640772,0.000311852,0.0002529166,0.0003976645,0.0001617624,0.0005419052,0.0002963128,0.0004789437,0.00184744],"category_scores_gemma":[0.01355635,0.0002486181,0.0002268679,0.0002059253,0.000497863,0.0005656602,0.000851482,0.0003054602,0.0002713716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565169,"about_ca_system_score_gemma":0.0001714631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004426841,"about_ca_topic_score_gemma":0.00111808,"domain_scores_codex":[0.9983771,0.0006938898,0.0001388514,0.0002321391,0.0004290177,0.0001289266],"domain_scores_gemma":[0.9918475,0.004962331,0.001374039,0.0004390712,0.000950703,0.0004262521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005671826,0.0005175579,0.5233081,0.0006714481,0.0003149964,0.000818497,0.001669274,0.0009866256,0.2964383,0.000229399,0.000411971,0.1689621],"study_design_scores_gemma":[0.00006526239,0.002923954,0.9790986,0.0000491917,0.0001226583,0.001017918,0.0005924269,0.001050219,0.01415274,0.0002473921,0.0006334585,0.00004625771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923167,0.001003237,0.005551788,0.0001202843,0.00002733595,0.00007221522,0.00004932283,0.0000287443,0.0008304382],"genre_scores_gemma":[0.994289,0.000289117,0.004880733,0.00009302937,0.00003015979,0.00003008332,0.00004009451,0.00001641518,0.0003313813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002640772,"threshold_uncertainty_score":0.0139659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007346702366751281,"score_gpt":0.2059847059945458,"score_spread":0.1986380036277945,"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."}}