{"id":"W2790851922","doi":"10.1117/12.2293575","title":"Augmented reality assistance in training needle insertions of different levels of difficulty","year":2018,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"TUTOR; Augmented reality; Computer science; Mental health; Virtual reality; Training (meteorology); Medical education; Medicine; Psychology; Human–computer interaction","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":[0.0004688482,0.0004924862,0.0002844542,0.0002749436,0.0000963667,0.00042316,0.0004647645,0.000404178,0.003852458],"category_scores_gemma":[0.002967007,0.0002361129,0.0003023092,0.0001293635,0.0002524543,0.0005197857,0.0006624963,0.0003182361,0.0005652154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235837,"about_ca_system_score_gemma":0.0002007873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002957458,"about_ca_topic_score_gemma":0.0005344654,"domain_scores_codex":[0.9994355,0.0002200783,0.00004442667,0.00007337753,0.0001664856,0.00006011238],"domain_scores_gemma":[0.9988803,0.0006108324,0.0001712322,0.0001395695,0.0001084205,0.00008953699],"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":[0.01296143,0.008271405,0.01557517,0.001986347,0.0002809617,0.0007471719,0.001873926,0.01617305,0.2501468,0.0005160581,0.0009664643,0.6905012],"study_design_scores_gemma":[0.002944864,0.1547169,0.3345306,0.0006349802,0.001744507,0.01285898,0.001684346,0.1445291,0.3233736,0.001507435,0.02104549,0.0004292304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845467,0.0005145492,0.01346691,0.00004463088,0.00002651724,0.00008391673,0.00005693164,0.0002108954,0.001048955],"genre_scores_gemma":[0.9804582,0.0003147361,0.01795246,0.00003044059,0.00001576013,0.00007723362,0.00009286287,0.00001605029,0.001042303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003852458,"threshold_uncertainty_score":0.01288778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.151790547863807,"score_gpt":0.3626786937606743,"score_spread":0.2108881458968673,"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."}}