{"id":"W1186414748","doi":"","title":"Rapid assessment of vision in the Royal College of Surgeons & Long Evens rats using Optomotor; a virtual reality visual screening system.","year":2004,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Lethbridge","funders":"","keywords":"Virtual reality; Optometry; Computer science; Computer vision; Medicine; Artificial intelligence; Psychology; Human–computer interaction; Ophthalmology","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":[0.0006728195,0.0008458417,0.0003718011,0.001223653,0.0004209145,0.0004319696,0.0005514586,0.0007079351,0.004616829],"category_scores_gemma":[0.0008873414,0.0004345487,0.0003001593,0.0001789542,0.001254392,0.001008026,0.0009635744,0.001728041,0.0005814764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000475001,"about_ca_system_score_gemma":0.00102553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004990081,"about_ca_topic_score_gemma":0.008261656,"domain_scores_codex":[0.9996014,0.00004180164,0.0000185952,0.0001065494,0.00008350212,0.0001481224],"domain_scores_gemma":[0.9985287,0.0001661674,0.0003327305,0.0001599163,0.0001441885,0.0006682946],"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":[0.002187583,0.0007314408,0.001422181,0.00005519485,0.00001515648,0.0001429192,0.0001489416,0.0002868098,0.9823263,0.0004648849,0.0005173267,0.01170136],"study_design_scores_gemma":[0.0004073988,0.02010806,0.04417821,0.00006357431,0.0001165761,0.0009018459,0.0007557092,0.006138994,0.9224269,0.001067638,0.003658023,0.0001770609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914269,0.00022014,0.00590623,0.0002900712,0.00007224782,0.00005665931,0.0003355724,0.0002271061,0.001465107],"genre_scores_gemma":[0.970654,0.000640487,0.01363752,0.000245665,0.00003510168,0.0002609973,0.0003696259,0.0001202983,0.01403637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004990081,"threshold_uncertainty_score":0.01544482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08628403315532379,"score_gpt":0.4174321196884732,"score_spread":0.3311480865331494,"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."}}