{"id":"W2109382108","doi":"10.1177/1553350612449075","title":"What Do Surgeons See","year":2012,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta; Simon Fraser University","funders":"Mitacs","keywords":"Eye tracking; Computer vision; Eye tracking on the ISS; Gaze; BitTorrent tracker; Artificial intelligence; Computer science; Optical head-mounted display; Flexibility (engineering); Workflow","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":[0.001555246,0.0003015622,0.0003574973,0.001184178,0.001707127,0.003579282,0.0006289572,0.001902364,0.04582558],"category_scores_gemma":[0.01535905,0.0002278379,0.0004040019,0.0008955188,0.001524212,0.003642626,0.002202021,0.002367784,0.01919218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335444,"about_ca_system_score_gemma":0.0032068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004460212,"about_ca_topic_score_gemma":0.008911919,"domain_scores_codex":[0.9980986,0.0006535662,0.0001132865,0.0002177628,0.0006270311,0.0002897749],"domain_scores_gemma":[0.9920673,0.001685602,0.001073806,0.0002787468,0.001748836,0.003145552],"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":[0.0001022958,0.0001184629,0.06876639,0.0007103438,0.00004737664,0.001404508,0.0110714,0.0001910202,0.0006090332,0.005353743,0.4120751,0.4995504],"study_design_scores_gemma":[0.00004187088,0.0001983798,0.05110758,0.002708968,0.00004339486,0.01056592,0.06626245,0.0002707452,0.0005305388,0.009792464,0.8583266,0.0001511419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1182105,0.06161749,0.006241549,0.4624783,0.02424638,0.0001560778,0.002420392,0.0006951253,0.3239342],"genre_scores_gemma":[0.6235374,0.1091851,0.01143735,0.1343615,0.007532512,0.0002619876,0.002373253,0.0005075669,0.1108032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04582558,"threshold_uncertainty_score":0.1533018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06627604623785291,"score_gpt":0.3510269566674248,"score_spread":0.2847509104295719,"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."}}