{"id":"W4240740574","doi":"10.1016/j.jalz.2018.06.941","title":"P2‐252: AN AMYLOID LIGAND‐FREE OPTICAL RETINAL IMAGING METHOD TO PREDICT CEREBRAL AMYLOID PET STATUS","year":2018,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada); Polytechnique Montréal; McGill Genome Centre; Hôpital Maisonneuve-Rosemont; Optina Diagnostics (Canada); Clinique Paro Excellence; McGill University","funders":"","keywords":"Retinal; Hyperspectral imaging; Medicine; Retina; Amyloid (mycology); Neuroimaging; Pathology; Ophthalmology; Neuroscience; Artificial intelligence; Computer science; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009733767,0.0004349145,0.000613946,0.0003335414,0.000301162,0.0001955022,0.0004590976,0.00005852868,0.0008675472],"category_scores_gemma":[0.0001633666,0.0003888055,0.0002734514,0.0005756691,0.0002801648,0.0003438801,0.0003267975,0.0003862509,0.0004494995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002481497,"about_ca_system_score_gemma":0.0001411236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398704,"about_ca_topic_score_gemma":0.00004508021,"domain_scores_codex":[0.9962913,0.0001926208,0.0006581356,0.0009392379,0.00081962,0.001099061],"domain_scores_gemma":[0.9972166,0.00007737477,0.000151642,0.001181649,0.0003693815,0.001003387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001988277,0.001352557,0.3996015,0.00006642472,0.02663833,0.001016987,0.002732821,0.00003615911,0.2282921,0.001193583,0.08424865,0.2528327],"study_design_scores_gemma":[0.008948302,0.00415343,0.2467654,0.0005754115,0.1312446,0.001909902,0.002060007,0.03116873,0.4509278,0.0009977281,0.1184127,0.002835967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674104,0.01702129,0.06985543,0.01357675,0.001108695,0.001286571,0.0001168154,0.0009546282,0.02866948],"genre_scores_gemma":[0.820627,0.00002223968,0.1758772,0.002115447,0.001063852,0.00002727466,0.0001039978,0.00007670343,0.00008636886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2499967,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051516975303238,"score_gpt":0.3198987729372043,"score_spread":0.299383603184172,"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."}}