{"id":"W2332336392","doi":"10.1007/s11548-016-1372-9","title":"A wearable navigation display can improve attentiveness to the surgical field","year":2016,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Computer science; Computer vision; Task (project management); Peripheral vision; Artificial intelligence; Lens (geology); Field of view; Wearable technology; Display device; Engineering; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005290395,0.0000743476,0.0002385958,0.0001186449,0.00004613819,0.00002125061,0.0000879064,0.00006786107,0.00006154756],"category_scores_gemma":[0.0001138324,0.00003653451,0.000142703,0.00006378817,0.00005148983,0.00006408025,0.00002826843,0.0001366363,0.000004134558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003483005,"about_ca_system_score_gemma":0.00006261918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004495108,"about_ca_topic_score_gemma":0.000001498133,"domain_scores_codex":[0.999119,0.0001174365,0.000344915,0.0001057928,0.0002019848,0.0001108383],"domain_scores_gemma":[0.9974037,0.002008781,0.0001457202,0.00006303889,0.0002682091,0.0001105777],"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":[0.002090898,0.000111189,0.2437209,0.000008850797,0.0006517014,0.001427465,0.0001933292,0.0001020297,0.0006523703,0.0005679471,0.001798656,0.7486747],"study_design_scores_gemma":[0.005156841,0.0004658722,0.8543875,0.001000589,0.00008586873,0.01322701,0.00004676454,0.001498513,0.0007342367,0.0002965516,0.122894,0.0002063254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476019,0.0001281015,0.01947221,0.03070747,0.001872438,0.00005597802,0.000003631466,0.000008494858,0.0001497521],"genre_scores_gemma":[0.997029,0.00005599715,0.0001843944,0.001664776,0.0009455401,0.000001927047,0.0000033952,0.000004593306,0.000110375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484683,"threshold_uncertainty_score":0.1489834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198695587608475,"score_gpt":0.294649393671249,"score_spread":0.2747798349104015,"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."}}