{"id":"W7073822737","doi":"","title":"An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy : a development and validation study","year":2020,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Pattern recognition (psychology); Nerve plexus; Peripheral nerve; Segmentation; Image segmentation; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002812356,0.0001417069,0.0003081812,0.0001406403,0.0002251988,0.00008885779,0.000227866,0.00003907355,0.0003543746],"category_scores_gemma":[0.00002386566,0.0001471339,0.00005578322,0.0001980275,0.000111412,0.0001706942,0.0001354155,0.00009535217,0.0001705734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004454105,"about_ca_system_score_gemma":0.00001781496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002998267,"about_ca_topic_score_gemma":0.00001092494,"domain_scores_codex":[0.9989098,0.00003769083,0.0003432274,0.0004599456,0.00003739161,0.0002119631],"domain_scores_gemma":[0.9993671,0.0001020435,0.0002428836,0.0001605816,0.00004369697,0.00008372772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002655005,0.0004726904,0.8958119,0.00008927243,0.0002866653,0.00002705684,0.02048149,0.0004423602,0.0001338759,0.001663667,0.00003974302,0.08028574],"study_design_scores_gemma":[0.002284429,0.0009615429,0.133466,0.00004902333,0.0001757749,0.000003029872,0.03823141,0.7858362,0.0070625,0.0001606078,0.03088796,0.0008815389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212347,0.00004127312,0.1773745,0.00005231299,0.0002800476,0.0004142322,0.00007781612,0.00001420196,0.0005109448],"genre_scores_gemma":[0.995258,0.000008069866,0.004262066,0.00008334478,0.00005316131,0.000005254951,0.000008996602,0.00001369266,0.0003073875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7853938,"threshold_uncertainty_score":0.5999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050968884996877,"score_gpt":0.2442012847808714,"score_spread":0.1391043962811837,"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."}}