{"id":"W4385264818","doi":"10.1097/sih.0000000000000735","title":"Low-Cost Task Trainer for In Utero Fetal Stent Placement","year":2023,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Trainer; Medicine; Stent; Likert scale; Ultrasound; Interquartile range; Surgery; Obstetrics and gynaecology; Medical physics; Radiology; Computer science; Pregnancy; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004365707,0.0002722121,0.0006283784,0.0003379579,0.0003239046,0.00002844979,0.0002476336,0.000312748,0.00001361718],"category_scores_gemma":[0.0008970961,0.0001860572,0.0008442915,0.001518658,0.00007545407,0.0002112108,0.00005122544,0.0008111651,0.000002474704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103165,"about_ca_system_score_gemma":0.0004539096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019406,"about_ca_topic_score_gemma":0.0004212063,"domain_scores_codex":[0.9958015,0.0004473513,0.001999781,0.0002975912,0.0007829115,0.0006708793],"domain_scores_gemma":[0.9934664,0.00444662,0.0007914872,0.000357776,0.0007311794,0.0002064785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001694106,0.0001016999,0.05798794,0.0006622919,0.00004121492,0.000003241398,0.005028035,0.9244072,0.000007425452,0.0002227803,0.00005804463,0.009786039],"study_design_scores_gemma":[0.01129003,0.0003399354,0.1097875,0.0008007453,0.00004228873,0.00000683553,0.002924842,0.8704936,0.00001364527,0.002025629,0.002100968,0.0001739953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162042,0.0004435985,0.00474966,0.07042833,0.001383288,0.006612256,0.0001087214,0.00005711917,0.00001285663],"genre_scores_gemma":[0.99558,0.00009602177,0.0002755172,0.003321518,0.000387145,0.0001188028,0.00008603988,0.00005422633,0.00008068763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07937588,"threshold_uncertainty_score":0.7587193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09191273310269417,"score_gpt":0.4078657170669157,"score_spread":0.3159529839642215,"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."}}