{"id":"W2901860466","doi":"10.1177/2292550318800324","title":"High Fidelity Microsurgical Simulation: The Thiel Model and Evaluation Instrument","year":2018,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Fidelity; Computer science; Simulation; High fidelity; Computer graphics (images); Engineering; Telecommunications; Electrical engineering","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":[0.0009917609,0.0001079944,0.0002058585,0.00005676405,0.0001702707,0.00003172879,0.00002666551,0.00007170481,0.0006473523],"category_scores_gemma":[0.002986369,0.00006991816,0.00006580515,0.0001521512,0.0001662303,0.0000641783,0.0000290321,0.000112708,0.00004154665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004052993,"about_ca_system_score_gemma":0.0001097263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001133873,"about_ca_topic_score_gemma":0.000003275312,"domain_scores_codex":[0.9988012,0.00008218111,0.0003037452,0.0002155041,0.0004244548,0.0001729142],"domain_scores_gemma":[0.9903177,0.009109805,0.00007114989,0.0001682163,0.0002199506,0.0001131677],"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":[0.003044332,0.0005098697,0.1972426,0.0001092967,0.0003413707,0.00003744566,0.001461471,0.4286548,0.0004060985,0.003315926,0.001853027,0.3630238],"study_design_scores_gemma":[0.0009992386,0.00002541519,0.1616594,0.00003976794,0.00007498819,0.000009071314,0.00002939289,0.834705,0.00004520694,0.0003793964,0.00195716,0.00007594947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954475,0.0000554894,0.002185149,0.0005042761,0.0007850218,0.0001539236,0.000004024821,0.00004874467,0.000815834],"genre_scores_gemma":[0.9990564,0.000007060156,0.0001501904,0.000356478,0.0003491526,0.00001243432,0.00002698109,0.000009500444,0.00003179582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4060502,"threshold_uncertainty_score":0.7088054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09282389241689716,"score_gpt":0.3326008207268105,"score_spread":0.2397769283099133,"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."}}