{"id":"W2793730921","doi":"10.1117/12.2293934","title":"HoloLens in suturing training","year":2018,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"TUTOR; Usability; Computer science; Test (biology); Human–computer interaction; Simulation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001125212,0.0000358873,0.00008269034,0.00005533632,0.00001843806,0.000004415033,0.00001455095,0.00002814271,0.001664283],"category_scores_gemma":[0.00006004922,0.00002778523,0.00002156569,0.0001132097,0.00002983435,0.00002553182,0.000006981945,0.00006196932,0.0001116761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001155387,"about_ca_system_score_gemma":0.00001364284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009786806,"about_ca_topic_score_gemma":0.00002238371,"domain_scores_codex":[0.9996279,0.000006923752,0.00009201362,0.00008589138,0.00006757754,0.0001196483],"domain_scores_gemma":[0.9998192,0.00004357724,0.000008244906,0.0000575443,0.00001689828,0.00005458935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003769068,0.0001731676,0.3876699,0.00002492038,0.00004149877,0.0002875764,0.01227215,0.00004537752,0.001756706,0.01541643,0.0002350575,0.5817003],"study_design_scores_gemma":[0.007744933,0.000261025,0.8924105,0.0001431727,0.0000127358,0.00004496901,0.002706135,0.008203574,0.002668867,0.0003625552,0.08526225,0.0001792863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6716741,0.000005155405,0.0001077708,0.0002764434,0.0000636867,0.00003206146,5.366194e-8,0.00004600219,0.3277947],"genre_scores_gemma":[0.9971476,8.359024e-7,0.0006907003,0.0009535299,0.0002742593,0.000001063992,0.000001119375,0.000004964928,0.0009258869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5815211,"threshold_uncertainty_score":0.9992483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09577698500450064,"score_gpt":0.3487874682536759,"score_spread":0.2530104832491752,"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."}}