{"id":"W3124974221","doi":"10.48550/arxiv.2101.08815","title":"Fractal Dimension and Retinal Pathology: A Meta-analysis","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fractal dimension; Retinal; Fractal analysis; Dimension (graph theory); Fractal; Web of science; Meta-analysis; Scopus; Medicine; Computer science; Pathology; Ophthalmology; MEDLINE; Mathematics; Biology","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":[0.01061911,0.001819442,0.009791044,0.004544461,0.0006433612,0.003161432,0.001394449,0.001678521,0.003341173],"category_scores_gemma":[0.02345751,0.0009097109,0.03683703,0.005809369,0.0005434795,0.001157526,0.001208382,0.001653545,0.0003177965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274355,"about_ca_system_score_gemma":0.00126685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003742015,"about_ca_topic_score_gemma":0.006185033,"domain_scores_codex":[0.9929889,0.003452606,0.001499094,0.001095068,0.0006787076,0.0002856322],"domain_scores_gemma":[0.9750518,0.02021175,0.002246935,0.00114498,0.001079574,0.0002648428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003073673,0.00002581165,0.02203541,0.07251306,0.89077,0.0002109479,0.00007252012,0.0005783594,0.0003528113,0.0002056984,0.0005364839,0.009625274],"study_design_scores_gemma":[0.0003568677,0.0001878751,0.01254366,0.004644483,0.9802879,0.0001463959,0.00003763728,0.0002914441,0.0001199424,0.0003252866,0.001038579,0.00001993785],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01833945,0.9789914,0.001093166,0.0003048416,0.0001927558,0.00009500243,0.0006191341,0.00002883039,0.0003354758],"genre_scores_gemma":[0.5410481,0.4521197,0.002956636,0.0009746999,0.0006300997,0.0004997393,0.001163458,0.00006192772,0.0005456718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01061911,"threshold_uncertainty_score":0.05615991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107668938318106,"score_gpt":0.2319497685366483,"score_spread":0.1211828747048378,"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."}}