{"id":"W2206431756","doi":"10.1109/imctl.2015.7359594","title":"AR stereoscopic 3D Human Eye Examination App","year":2015,"lang":"en","type":"article","venue":"","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stereoscopy; Computer science; Computer vision; Computer graphics (images); Artificial intelligence","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":[0.0005890604,0.00005767467,0.0001255627,0.00009379709,0.00005922944,0.000005478194,0.00004621387,0.00009586147,0.0007571406],"category_scores_gemma":[0.00007642886,0.00004474952,0.00001447568,0.0001032348,0.00005152919,0.00004970204,0.00002863396,0.0001732348,0.0006548176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006066237,"about_ca_system_score_gemma":0.0001018379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008383005,"about_ca_topic_score_gemma":0.000007546696,"domain_scores_codex":[0.9992239,0.000086935,0.0001307921,0.0001368701,0.0002141448,0.0002073321],"domain_scores_gemma":[0.9994354,0.00002960578,0.00001917974,0.0001644387,0.0001227702,0.0002286332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000297421,0.001115808,0.9191431,0.0007707482,0.00005134847,0.0003075057,0.001150495,4.157023e-7,0.002182489,0.007265595,0.01199986,0.05571517],"study_design_scores_gemma":[0.00275857,0.003446428,0.9794797,0.00006761875,0.00001794133,0.00007464671,0.0003985444,0.0002883521,0.001960073,0.000403781,0.0109968,0.0001075348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778392,0.0000974818,0.00009643563,0.0004687923,0.00009508547,0.000239824,4.229776e-7,0.0000511908,0.1211115],"genre_scores_gemma":[0.9390531,0.000002930247,0.0004693331,0.0002816009,0.0001434825,0.00001364466,0.00001952792,0.000007581517,0.06000883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06121385,"threshold_uncertainty_score":0.8416575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3084785772330962,"score_gpt":0.5558128751601609,"score_spread":0.2473342979270646,"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."}}