{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004952006,0.0001864511,0.0007812008,0.000150849,0.00003940447,0.00001841895,0.00009937795,0.00009585456,0.0007238762],"category_scores_gemma":[0.000872442,0.0001319761,0.0005780768,0.0002770044,0.00009446657,0.0001085717,0.000009567977,0.000336451,0.000003689482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755264,"about_ca_system_score_gemma":0.0009956624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001221068,"about_ca_topic_score_gemma":0.00001820238,"domain_scores_codex":[0.9978535,0.0001540416,0.000911756,0.0001518407,0.0007149996,0.0002138267],"domain_scores_gemma":[0.9970943,0.0007049374,0.00080149,0.000320774,0.0008650178,0.0002134749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003903382,0.002885014,0.8798144,0.000114485,0.001436304,0.0001247735,0.0002688393,0.00008382686,0.1123171,0.0002561086,0.001426281,0.0008825271],"study_design_scores_gemma":[0.003888265,0.002689555,0.9763825,0.0002963794,0.0003616112,0.000779425,0.0004075984,0.000002143408,0.01455239,0.0003414033,0.0001981996,0.0001005304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940418,0.0004063711,0.0001566953,0.0002065595,0.0001980067,0.0001224944,0.00005353115,0.000004213951,0.004810333],"genre_scores_gemma":[0.9980617,0.0003480588,0.00103732,0.0001043623,0.0001045607,0.000001022941,0.00001991791,0.00001926564,0.0003037591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0977647,"threshold_uncertainty_score":0.7925937,"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."}}