{"id":"W4390878461","doi":"10.7759/cureus.52300","title":"The Iterative Design and Development of an Affordable Ultrasound Simulator","year":2024,"lang":"en","type":"article","venue":"Cureus","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Sonographer; Computer science; Ultrasound; Trainer; Silicone; Simulation; Medical physics; Medicine; Materials science; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00417278,0.001096829,0.0004048462,0.0007567884,0.0003407047,0.0009077304,0.001790248,0.0008195869,0.003894316],"category_scores_gemma":[0.005670174,0.0005121312,0.0006904721,0.0002487146,0.000718026,0.0008155606,0.001874727,0.0006958416,0.0008370082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865754,"about_ca_system_score_gemma":0.002133598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009281659,"about_ca_topic_score_gemma":0.001155493,"domain_scores_codex":[0.9975359,0.0009258931,0.000170042,0.0002515902,0.0009281723,0.0001883701],"domain_scores_gemma":[0.9972703,0.001142536,0.0001776902,0.0003185299,0.0008631317,0.0002278537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006715442,0.001464069,0.007859444,0.001780762,0.0001409783,0.001148723,0.004960178,0.1680759,0.3634997,0.0163201,0.003597609,0.430481],"study_design_scores_gemma":[0.0004421852,0.009416262,0.008677302,0.000379739,0.0003022691,0.001150169,0.002192131,0.5400989,0.2973528,0.006336434,0.1333293,0.0003224147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.118484,0.0001490295,0.8708125,0.0002154028,0.00009804242,0.003097633,0.0001266984,0.001274231,0.005742527],"genre_scores_gemma":[0.1709268,0.0001808356,0.8235909,0.00005827731,0.00001343083,0.001644593,0.0002046955,0.0001941973,0.003186294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00417278,"threshold_uncertainty_score":0.02206808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170209582504553,"score_gpt":0.3312646985289437,"score_spread":0.2795626027038982,"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."}}