{"id":"W2942923012","doi":"10.2196/12713","title":"Effect of an Augmented Reality Ultrasound Trainer App on the Motor Skills Needed for a Kidney Ultrasound: Prospective Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrasound; Trainer; Medicine; Augmented reality; Prospective cohort study; Kidney; Physical therapy; Urology; Surgery; Radiology; Computer science; Internal medicine; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318644,0.0003729732,0.0008582115,0.00008506984,0.0001250285,0.00004954315,0.0003449336,0.0002601253,0.0003856096],"category_scores_gemma":[0.004899307,0.0002282437,0.0004579826,0.0003390039,0.000294108,0.0001019282,0.0000223468,0.0004101121,0.0000780097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517648,"about_ca_system_score_gemma":0.0001786737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008897131,"about_ca_topic_score_gemma":0.00001257299,"domain_scores_codex":[0.9973755,0.0002948891,0.0007287315,0.0006782957,0.0004851826,0.0004374162],"domain_scores_gemma":[0.9890148,0.008851865,0.0003701202,0.001239264,0.0002070402,0.0003169171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.243625,0.01112083,0.01381428,0.001353319,0.001733091,0.000004002839,0.004660147,0.00001556931,0.6750542,0.006325956,0.03305296,0.009240684],"study_design_scores_gemma":[0.2885039,0.1309067,0.2191623,0.0009747257,0.001710007,0.0001768168,0.002140047,0.0002689708,0.2743912,0.00882521,0.07108705,0.001852991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766355,0.00001163367,0.00005946118,0.001513354,0.000344002,0.01724096,0.0005022754,0.0001958308,0.003496949],"genre_scores_gemma":[0.9898617,0.00001526967,0.0004094141,0.001459513,0.0005337645,0.004426949,0.0003251941,0.000074164,0.002894028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.400663,"threshold_uncertainty_score":0.930751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320356971132726,"score_gpt":0.3439958027326545,"score_spread":0.3307922330213272,"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."}}