{"id":"W2467002989","doi":"10.1111/j.1755-3768.2015.0245","title":"Candidate Retinal Biomarkers in <scp>CNS</scp> Neurodegenerative Disease","year":2015,"lang":"en","type":"article","venue":"Acta Ophthalmologica","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Retinal; Disease; Medicine; Neuroscience; Biology; Ophthalmology; Pathology","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":[0.0004001602,0.0002260167,0.0003793282,0.0002004634,0.00006242385,0.00004172705,0.0001733622,0.00007317253,0.00006480306],"category_scores_gemma":[0.0020619,0.0001679995,0.0001346121,0.0005317515,0.0001605354,0.00009875181,0.00008969028,0.0002605786,0.00007503777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007935714,"about_ca_system_score_gemma":0.0001672662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646041,"about_ca_topic_score_gemma":0.00000169146,"domain_scores_codex":[0.9982762,0.000212527,0.0002868793,0.0004911363,0.0003261699,0.000407063],"domain_scores_gemma":[0.9986413,0.0001586511,0.000108522,0.0003986502,0.000127944,0.0005649687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000479256,0.0004456592,0.9402118,0.00005545465,0.0002159673,0.01510249,0.0006725741,0.0000776613,0.01367901,0.00007289995,0.02860188,0.0003853652],"study_design_scores_gemma":[0.004505468,0.001941563,0.957252,0.0003117359,0.0007260623,0.003271919,0.003306229,0.007594925,0.004875366,0.001049747,0.01473246,0.0004325839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779617,0.000470836,0.00001225841,0.003231959,0.0001035997,0.0001867873,0.00001374928,0.00006057884,0.01795848],"genre_scores_gemma":[0.9953361,0.00004531727,0.000623887,0.000482435,0.0001160903,0.00002659851,0.00008313872,0.0000200132,0.00326644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01737433,"threshold_uncertainty_score":0.6850822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142376358889053,"score_gpt":0.3096936172982957,"score_spread":0.2682698537094051,"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."}}