{"id":"W4391877964","doi":"10.1117/12.3008787","title":"Automating creation of high-fidelity holographic hand animations for surgical skills training using mixed reality headsets","year":2024,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Training (meteorology); Holography; High fidelity; Virtual reality; Fidelity; Multimedia; Augmented reality; Human–computer interaction; Mixed reality; Computer graphics (images); Engineering; Electrical engineering; Telecommunications; Physics","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":[0.001049112,0.0001265415,0.0002342342,0.0001965064,0.0003020374,0.0002071901,0.0003186381,0.0000980471,0.00001126038],"category_scores_gemma":[0.00008421956,0.0001169391,0.0001302469,0.0009014525,0.000141752,0.0004541176,0.00009628195,0.0001023698,0.000002490211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006618657,"about_ca_system_score_gemma":0.0001484477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003783443,"about_ca_topic_score_gemma":0.00009453776,"domain_scores_codex":[0.9984027,0.0001150638,0.0005683708,0.0004401042,0.0002318311,0.0002419961],"domain_scores_gemma":[0.9985117,0.0006698027,0.0001404913,0.0004344138,0.0001671659,0.00007646746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005153191,0.0002113393,0.0002378081,0.0002661622,0.00009497791,0.000003657491,0.001967788,0.004458522,0.007285613,0.922953,0.0003663405,0.0621496],"study_design_scores_gemma":[0.0003872385,0.00004810687,0.01236101,0.0001437532,0.000040137,0.00003496442,0.00008871925,0.9479756,0.00480008,0.03356304,0.0003857093,0.0001716922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968712,0.00005444676,0.800543,0.001213834,0.00009206271,0.0003973496,0.00005765873,0.000330049,0.0004404741],"genre_scores_gemma":[0.841425,0.000005578182,0.158349,0.00002324236,0.00003851733,0.00006455586,0.0000583261,0.000008452517,0.00002735159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.943517,"threshold_uncertainty_score":0.4768636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784735352509187,"score_gpt":0.3544453799413628,"score_spread":0.296598026416271,"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."}}