{"id":"W4303684825","doi":"10.1016/j.ultrasmedbio.2022.09.002","title":"Proof-of-Concept Study of a 3-D Ultrasound Scanner Used for Ankle Joint Assessment","year":2022,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Foot and Ankle Surgery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Lawson Health Research Institute; SickKids Foundation; Western University","funders":"Canadian Institutes of Health Research; Garron Family Cancer Centre; Physicians' Services Incorporated Foundation; Terry Fox Foundation; Novo Nordisk; Society for Pediatric Radiology","keywords":"Ankle; Imaging phantom; Scanner; Joint (building); Magnetic resonance imaging; Computer science; Ultrasound; Orientation (vector space); Ultrasound imaging; Artificial intelligence; Biomedical engineering; Nuclear medicine; Computer vision; Medicine; Radiology; Mathematics; Anatomy; Geometry; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00165384,0.0002480323,0.001232378,0.0004505179,0.0001011192,0.000002385518,0.0001926389,0.00008867616,0.00107227],"category_scores_gemma":[0.001312708,0.000189615,0.000144156,0.0005858276,0.0004637661,0.00003711345,0.00006727956,0.0004517446,4.40265e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404057,"about_ca_system_score_gemma":0.0002883369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005144625,"about_ca_topic_score_gemma":0.00009105496,"domain_scores_codex":[0.9973145,0.0003279754,0.001079061,0.0004744125,0.0003750887,0.0004289975],"domain_scores_gemma":[0.9970019,0.001878438,0.0003958974,0.0004508921,0.0001669967,0.0001058327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008674097,0.00635277,0.658758,0.0003420128,0.0004462186,0.00003591953,0.01295559,0.0001739915,0.2966618,0.001019514,0.0106306,0.01175622],"study_design_scores_gemma":[0.06662379,0.1281578,0.5099607,0.0008747697,0.001420551,0.0007264559,0.1143523,0.0003331665,0.04684976,0.008101063,0.1209285,0.00167123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941625,0.0006758203,0.0003082241,0.000746271,0.0008178712,0.002186432,0.00006439383,0.00002717644,0.00101134],"genre_scores_gemma":[0.9979089,0.00001721712,0.000383235,0.0003698586,0.0002735142,0.0004199012,0.0003109389,0.00003160366,0.0002848585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249812,"threshold_uncertainty_score":0.9998409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367709473886468,"score_gpt":0.3434889375170027,"score_spread":0.299811842778138,"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."}}