{"id":"W3029173565","doi":"10.3760/cma.j.issn.1005-1201.2013.04.009","title":"Analysis of occipital lobe activation during functional MRI in patients with open-angle glaucoma and correlation with clinical results","year":2013,"lang":"en","type":"article","venue":"Zhonghua fangshexian yixue zazhi","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Statistical parametric mapping; Occipital lobe; Retinal; Ophthalmology; Magnetic resonance imaging; Nerve fiber layer; White matter; Voxel; Nuclear medicine; Functional magnetic resonance imaging; Glaucoma; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002031841,0.0002751361,0.000248121,0.0007417875,0.0002246534,0.0002870951,0.0001028239,0.0003119183,0.001309964],"category_scores_gemma":[0.001008494,0.00009818803,0.0001623266,0.0003046888,0.0002900184,0.0001894558,0.0001975916,0.0001391586,0.0002110341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057316,"about_ca_system_score_gemma":0.000132627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009195396,"about_ca_topic_score_gemma":0.001759816,"domain_scores_codex":[0.999866,0.00002891292,0.00001555317,0.00003039083,0.00002952059,0.00002955502],"domain_scores_gemma":[0.9995264,0.0001149508,0.0002156277,0.00002217942,0.00004573638,0.00007504483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001031917,0.00006865717,0.9782071,0.00005428189,0.00006906492,0.002894139,0.0001922551,0.0000894121,0.0111161,0.00004182915,0.0001833124,0.006051796],"study_design_scores_gemma":[0.00001165437,0.0001541009,0.9963313,0.000003801372,0.00002010464,0.002785897,0.0001184692,0.0001181877,0.0003205931,0.00003155696,0.0001012674,0.000003112577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992142,0.0001983823,0.0001002901,0.00002129394,0.000003848705,0.000006372367,0.00007761519,0.000004187023,0.0003737285],"genre_scores_gemma":[0.999653,0.00007827784,0.00007161072,0.0000123649,0.00001116818,0.000005041171,0.00009273057,0.000001183022,0.00007462915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309964,"threshold_uncertainty_score":0.004382253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009862228658676529,"score_gpt":0.2455543144119326,"score_spread":0.2356920857532561,"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."}}