{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005714617,0.0004031893,0.0002595608,0.001340975,0.0002613465,0.0006387551,0.0006353883,0.0003888115,0.002933412],"category_scores_gemma":[0.02041585,0.0002095492,0.0007005786,0.0004836469,0.0004983256,0.0009577656,0.001523172,0.0006058259,0.0003834426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358923,"about_ca_system_score_gemma":0.001547459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109427,"about_ca_topic_score_gemma":0.002026375,"domain_scores_codex":[0.9963298,0.001954986,0.000350488,0.0001232231,0.001076708,0.0001647433],"domain_scores_gemma":[0.9900422,0.005049715,0.001537191,0.0006045703,0.002124727,0.000641435],"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":[0.002383438,0.003383197,0.4217336,0.0007636784,0.0002226829,0.000488953,0.004258089,0.02610813,0.01311675,0.004132832,0.01003953,0.5133691],"study_design_scores_gemma":[0.0008560211,0.01079841,0.7715698,0.0009342812,0.0002504709,0.00237839,0.003579294,0.1609933,0.0172975,0.003979505,0.02698321,0.0003796303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91731,0.0002136376,0.06706443,0.0005113304,0.00007881624,0.003501283,0.0008908407,0.0004191752,0.01001053],"genre_scores_gemma":[0.8917696,0.0002211571,0.1013801,0.00010004,0.00002659572,0.003039835,0.00116724,0.00005670237,0.002238637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005714617,"threshold_uncertainty_score":0.03022212,"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."}}