{"id":"W4224291601","doi":"10.3390/app12084072","title":"Can AI Automatically Assess Scan Quality of Hip Ultrasound?","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hip disorders and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"Alberta Machine Intelligence Institute; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Sonographer; Ultrasound; Artificial intelligence; Computer science; Cohen's kappa; Convolutional neural network; Kappa; Image quality; Intraclass correlation; Binary classification; Pattern recognition (psychology); Radiology; Medicine; Machine learning; Reproducibility; Image (mathematics); Mathematics; Statistics; Support vector machine","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":[0.002137959,0.0008112766,0.0005474015,0.002473748,0.0001393831,0.001015524,0.0008673288,0.00114282,0.0009087546],"category_scores_gemma":[0.01258372,0.0002638084,0.000478207,0.0009240698,0.0002868492,0.001014794,0.0004751169,0.0005965215,0.0006950639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000485289,"about_ca_system_score_gemma":0.0004220504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920297,"about_ca_topic_score_gemma":0.007914735,"domain_scores_codex":[0.998417,0.0004304135,0.0001496856,0.0004275257,0.0004612342,0.00011414],"domain_scores_gemma":[0.9942907,0.002482283,0.0009245371,0.0004056653,0.001737218,0.0001595991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000657083,0.0002527805,0.1864713,0.0004970539,0.0003228187,0.000240829,0.0001734954,0.01875394,0.0328527,0.0007358982,0.006485601,0.7525564],"study_design_scores_gemma":[0.0000685236,0.0005931281,0.1765076,0.0002283946,0.0002939861,0.001450363,0.000320253,0.7730054,0.03657819,0.003907747,0.00693244,0.0001139814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5648677,0.007390774,0.4064038,0.002374646,0.0004613583,0.000319167,0.003380197,0.006873092,0.007929328],"genre_scores_gemma":[0.8618673,0.000954126,0.1326424,0.000454556,0.0001458435,0.00008944343,0.002395095,0.000130725,0.001320395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004920297,"threshold_uncertainty_score":0.01130676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05008970694259833,"score_gpt":0.3572362834785003,"score_spread":0.307146576535902,"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."}}