{"id":"W2318452773","doi":"10.2500/ajra.2014.28.4067","title":"Inattentional Blindness Increased with Augmented Reality Surgical Navigation","year":2014,"lang":"en","type":"article","venue":"American Journal of Rhinology and Allergy","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Medicine; Augmented reality; Cadaveric spasm; Otorhinolaryngology; Inattentional blindness; Task (project management); Blindness; Surgery; Computer vision; Computer science; Optometry; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000816288,0.0003626578,0.000398473,0.0005129268,0.0001348343,0.000373884,0.0002483423,0.0002689981,0.003367523],"category_scores_gemma":[0.005123328,0.0001738179,0.000367951,0.0001666379,0.0003938952,0.000244768,0.0006802424,0.0003682059,0.0002324618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394482,"about_ca_system_score_gemma":0.0001657711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008171553,"about_ca_topic_score_gemma":0.0006693377,"domain_scores_codex":[0.999275,0.0002062758,0.00005546738,0.00009059184,0.0002507007,0.0001218312],"domain_scores_gemma":[0.9971688,0.001181926,0.0008894001,0.0002539985,0.0002326101,0.0002731907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01466278,0.004139984,0.5108529,0.0006925433,0.0005293945,0.001628165,0.003340407,0.002356585,0.270778,0.000140446,0.000815306,0.1900635],"study_design_scores_gemma":[0.00006954811,0.01143247,0.9750334,0.00003821068,0.0001088661,0.001203242,0.0003304371,0.001161024,0.009934286,0.00008249635,0.000582066,0.00002386971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992306,0.00006656945,0.0003898869,0.000007906097,0.000003158769,0.000009319854,0.00000956324,0.00001151102,0.0002714993],"genre_scores_gemma":[0.9994774,0.00004403166,0.0002203478,0.00001442829,0.000004729477,0.00001313086,0.00002009896,0.000002949853,0.000202783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003367523,"threshold_uncertainty_score":0.01126546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081124347697812,"score_gpt":0.2445536146599321,"score_spread":0.2364411798901509,"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."}}