{"id":"W3133826296","doi":"10.1007/s40477-021-00560-4","title":"Impact of scan quality on AI assessment of hip dysplasia ultrasound","year":2021,"lang":"en","type":"article","venue":"Journal of Ultrasound","topic":"Hip disorders and treatments","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Women and Children's Health Research Institute","keywords":"Medicine; Ultrasound; Radiology; Hip dysplasia; Quality assessment; Ultrasound imaging; Medical physics; Pathology; External quality assessment; Radiography","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":[0.01857733,0.0005327135,0.001089277,0.00213495,0.0006796058,0.00344612,0.001368299,0.001215242,0.004976191],"category_scores_gemma":[0.1488835,0.0004159735,0.002094499,0.001732044,0.001049381,0.001983278,0.00147047,0.001454834,0.0006372723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623715,"about_ca_system_score_gemma":0.001622514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144689,"about_ca_topic_score_gemma":0.01494201,"domain_scores_codex":[0.9790502,0.008802472,0.002979909,0.00156275,0.0065333,0.001071398],"domain_scores_gemma":[0.8332194,0.1267828,0.01799058,0.003993516,0.01415693,0.003856798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002189665,0.000126633,0.9709331,0.0001845182,0.0007829762,0.0002573535,0.0004824416,0.0005431113,0.0008424015,0.0001554362,0.0004183335,0.02308408],"study_design_scores_gemma":[0.0000776908,0.001481997,0.9853818,0.0002625009,0.001173587,0.001508767,0.001279927,0.00555157,0.001119417,0.0004403322,0.001667325,0.00005498049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97811,0.005603597,0.002353596,0.002727186,0.0002610099,0.0001074395,0.000811764,0.00008476888,0.009940611],"genre_scores_gemma":[0.9981458,0.0002277225,0.0008788207,0.0001443396,0.0000751933,0.00001070193,0.0001397995,0.00002852286,0.000348979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01857733,"threshold_uncertainty_score":0.09824747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667263660379242,"score_gpt":0.3997662559161695,"score_spread":0.3730936193123771,"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."}}