{"id":"W2127239549","doi":"10.1109/iembs.1995.579863","title":"Eye movement perimetry","year":2002,"lang":"en","type":"article","venue":"","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Medical Research Council","keywords":"Glaucoma; Optometry; Eye movement; Computer science; Medicine; 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":[0.0008638247,0.0005146016,0.0008088402,0.001320014,0.0004174692,0.0004897649,0.0005337981,0.0006628922,0.01128397],"category_scores_gemma":[0.002502687,0.0002016465,0.0002502218,0.0005258524,0.0003130796,0.0007724682,0.0007025365,0.0009227972,0.002097568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554271,"about_ca_system_score_gemma":0.0002315036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004279995,"about_ca_topic_score_gemma":0.00062562,"domain_scores_codex":[0.9992355,0.0001220178,0.00005786027,0.0001810729,0.0003482549,0.0000552462],"domain_scores_gemma":[0.9989088,0.000223129,0.0001009633,0.0001745262,0.0005193304,0.00007332129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00344237,0.001348644,0.04185973,0.001213935,0.0001937347,0.000796303,0.0003495855,0.0009059656,0.2768497,0.002720707,0.01487918,0.6554401],"study_design_scores_gemma":[0.001183284,0.01270681,0.6186814,0.0004504959,0.0005646148,0.03639809,0.0002243838,0.01229584,0.2122175,0.00408472,0.1008473,0.0003456382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6190484,0.01109972,0.2701962,0.0008574295,0.0006690308,0.004241889,0.008091792,0.009876555,0.07591901],"genre_scores_gemma":[0.7795823,0.00450951,0.156449,0.001074565,0.0002258547,0.001738493,0.005478192,0.0005989721,0.05034313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128397,"threshold_uncertainty_score":0.03774863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342340821409654,"score_gpt":0.2527232183418047,"score_spread":0.2392998101277082,"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."}}