{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250994,0.000341966,0.0001603482,0.0003610751,0.0001746888,0.00035127,0.0006717738,0.0003560969,0.008829618],"category_scores_gemma":[0.002397588,0.0001176701,0.0002528481,0.0001415467,0.0002533355,0.0005178018,0.001103217,0.0003525937,0.0012113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855438,"about_ca_system_score_gemma":0.0004874957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303917,"about_ca_topic_score_gemma":0.001227182,"domain_scores_codex":[0.9991344,0.0003769499,0.00005480968,0.0001292761,0.0002431222,0.00006149321],"domain_scores_gemma":[0.9988214,0.0005301008,0.0001376549,0.00009196572,0.0001090282,0.0003097391],"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":[0.002878399,0.004899893,0.0234275,0.001538062,0.00004318439,0.000605194,0.002175769,0.0008740404,0.03416361,0.0006814607,0.003128794,0.925584],"study_design_scores_gemma":[0.003175843,0.08645434,0.375715,0.003147786,0.0009294429,0.01416764,0.007092193,0.01062274,0.1871126,0.002474646,0.3088493,0.0002585313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677365,0.002398064,0.01373104,0.0005180936,0.0002009377,0.0005753399,0.0001011702,0.0006228578,0.01411607],"genre_scores_gemma":[0.9399011,0.001753035,0.04305116,0.0004892806,0.000109943,0.0005365135,0.000263969,0.00007065649,0.01382435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008829618,"threshold_uncertainty_score":0.02953804,"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."}}