{"id":"W2329191841","doi":"10.1177/1553350615573581","title":"Three-Dimensional Eye Tracking in a Surgical Scenario","year":2015,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Eye tracking; Surgical procedures; Optometry; Ophthalmology; Surgery; Computer vision; Artificial intelligence; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003461064,0.0001480917,0.0001962475,0.0002902242,0.00002223403,0.00003117296,0.0001268021,0.0001557265,0.00002503218],"category_scores_gemma":[0.00021175,0.0001390842,0.00002467458,0.001579103,0.00009640029,0.0002946153,0.00006264567,0.0004297466,0.00006101573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721928,"about_ca_system_score_gemma":0.00002356504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143093,"about_ca_topic_score_gemma":0.00001636442,"domain_scores_codex":[0.9988378,0.00001122172,0.0003832438,0.0002002006,0.0002603513,0.0003071968],"domain_scores_gemma":[0.9995095,0.00008442046,0.00002893003,0.0001778321,0.0001535813,0.00004570828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002732974,0.0003755427,0.05058902,0.00008744943,0.00005708012,0.002504653,0.0002092683,0.3084991,0.003034083,0.3688745,0.002834241,0.2626618],"study_design_scores_gemma":[0.005514415,0.0001400697,0.01281677,0.0002332113,0.00001203496,0.0002183687,0.0001060832,0.71184,0.007743157,0.1517392,0.1083328,0.001303868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844504,0.000221086,0.008732409,0.0005876753,0.0002773966,0.0001346656,0.00000181692,0.001132721,0.004461818],"genre_scores_gemma":[0.9902882,0.000003519169,0.009519566,0.00002180247,0.00007327549,0.00001720468,0.00002355815,0.00002490186,0.00002797287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4033409,"threshold_uncertainty_score":0.5671688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213633524171463,"score_gpt":0.3074512916805615,"score_spread":0.2653149564388469,"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."}}