{"id":"W4405808852","doi":"10.3390/diagnostics15010028","title":"From Cellular to Metabolic: Advances in Imaging of Inherited Retinal Diseases","year":2024,"lang":"en","type":"review","venue":"Diagnostics","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Optical coherence tomography; Retinal; Scanning laser ophthalmoscopy; Fluorescence-lifetime imaging microscopy; Computer science; Optical imaging; Adaptive optics; Functional imaging; Modalities; Neuroscience; Medicine; Biology; Ophthalmology; Optics; Physics; Fluorescence","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":[0.001020221,0.0009550487,0.002039098,0.004523948,0.0002800948,0.001334899,0.0008210713,0.001345743,0.003140924],"category_scores_gemma":[0.001489917,0.0003337856,0.001057627,0.0038645,0.0007197278,0.001775801,0.0007853687,0.001999004,0.001293858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109516,"about_ca_system_score_gemma":0.001583128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649403,"about_ca_topic_score_gemma":0.002435822,"domain_scores_codex":[0.9995827,0.00008585171,0.00007476338,0.00006334674,0.0001586785,0.00003470447],"domain_scores_gemma":[0.999168,0.0004745737,0.00009933665,0.0000207406,0.0002004653,0.00003691823],"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":[0.00009424624,0.00004519272,0.0003103751,0.06016407,0.0003063677,0.0002702819,0.000108431,0.0002584186,0.002292777,0.004392819,0.01880568,0.9129514],"study_design_scores_gemma":[0.00002590141,0.0001318446,0.001638562,0.01656473,0.0005428795,0.002137684,0.000136566,0.0001157064,0.001164069,0.003596431,0.9738986,0.00004691154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005051488,0.9992205,0.0000742658,0.000190797,0.0001073336,0.000002494533,0.00000947476,0.000003924369,0.0003406909],"genre_scores_gemma":[0.0004410802,0.9990222,0.0001374151,0.0001446768,0.00009360604,0.000003551558,0.00001307191,0.000001066111,0.0001431983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004523948,"threshold_uncertainty_score":0.01050746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061250557353684,"score_gpt":0.3081039027797787,"score_spread":0.2974913972062418,"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."}}