{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378802,0.0004112036,0.0002609506,0.0006015882,0.0002604883,0.0003821899,0.0003270725,0.0007465485,0.003149516],"category_scores_gemma":[0.001362665,0.0001705243,0.0003010552,0.0003115126,0.0002168337,0.0003399986,0.0007618603,0.0002528365,0.00050191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239329,"about_ca_system_score_gemma":0.0003308494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150557,"about_ca_topic_score_gemma":0.002142105,"domain_scores_codex":[0.9996977,0.00009593234,0.00001737061,0.00008806328,0.00007281337,0.00002807682],"domain_scores_gemma":[0.9995756,0.0001687478,0.0000662395,0.00004993091,0.00007503614,0.00006439375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002665879,0.0006522596,0.07010951,0.0007455621,0.0002002934,0.005741558,0.004584739,0.0393007,0.6547649,0.002238469,0.004407784,0.2145885],"study_design_scores_gemma":[0.0003931151,0.004351261,0.373574,0.0003555128,0.0003053515,0.01350574,0.002908411,0.4454419,0.1336891,0.005231342,0.01985183,0.0003924682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627656,0.0002309041,0.1295726,0.0001816349,0.00004218954,0.0003112822,0.001116714,0.0007598192,0.005019293],"genre_scores_gemma":[0.9427249,0.0001369646,0.05566651,0.00005244117,0.00001335192,0.0001497577,0.0004121968,0.00003243195,0.0008113043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003149516,"threshold_uncertainty_score":0.01053613,"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."}}