{"id":"W1202396952","doi":"","title":"Anticipation Like Phenomenon in Fuchs’ Endothelial Corneal Dystrophy","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Anticipation (artificial intelligence); Phenomenon; Ophthalmology; Dystrophy; Neuroscience; Psychology; Medicine; Philosophy; Computer science; Epistemology; Pathology; Artificial intelligence","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":[0.0003087602,0.0005163975,0.0003352405,0.001369126,0.0006503112,0.0004375268,0.0004725719,0.001424038,0.003657918],"category_scores_gemma":[0.003122431,0.0002474244,0.0002233623,0.0007046201,0.001068824,0.0009033801,0.0006416218,0.0007935873,0.0003954683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185536,"about_ca_system_score_gemma":0.0003004633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007562483,"about_ca_topic_score_gemma":0.0005486301,"domain_scores_codex":[0.999711,0.00005772544,0.00004415567,0.00005747232,0.00004670546,0.00008285206],"domain_scores_gemma":[0.9979951,0.0008332892,0.0005559215,0.0002304171,0.00007997364,0.0003052708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001524179,0.00009635168,0.03256959,0.0001172085,0.00004350986,0.9352274,0.0003654232,0.00044163,0.01401493,0.003267361,0.001217211,0.01111522],"study_design_scores_gemma":[0.0000893782,0.0003165382,0.0453763,0.00001580959,0.00003918428,0.9467313,0.0001808645,0.0009680362,0.003405239,0.001525664,0.001314551,0.00003713552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879904,0.0007973236,0.002002704,0.0005798119,0.0001388276,0.00004738571,0.0001383527,0.0001325372,0.008172605],"genre_scores_gemma":[0.9986091,0.000152646,0.0003952555,0.00008012975,0.0001257543,0.000008211196,0.00004651724,0.00000701931,0.0005754143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003657918,"threshold_uncertainty_score":0.01223689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551624461350517,"score_gpt":0.3430871789371799,"score_spread":0.2975709343236747,"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."}}