{"id":"W2591443317","doi":"","title":"Automatic Corneal Nerve Fibre Detection for Diabetic Neuropathy Quantification.","year":2011,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"","keywords":"Diabetic neuropathy; Medicine; Nerve fibre; Ophthalmology; Diabetes mellitus; Anatomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0006007982,0.00008793426,0.0001796981,0.0001421481,0.0002475048,0.000009777684,0.0002376472,0.00006454274,0.0001295926],"category_scores_gemma":[0.0001133208,0.00007554117,0.000136394,0.0002395822,0.0002272708,0.000139181,0.00008431018,0.000221098,0.0001589697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000641986,"about_ca_system_score_gemma":0.00007668178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002138064,"about_ca_topic_score_gemma":0.000004855008,"domain_scores_codex":[0.9988543,0.000187045,0.0001252096,0.0002238039,0.0003281992,0.0002813734],"domain_scores_gemma":[0.9988274,0.0001990996,0.00006691396,0.0004924444,0.0003102607,0.0001038763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.005055396,0.002452096,0.1160429,0.004493639,0.001005692,0.0005451643,0.333693,0.00002429404,0.2739959,0.002337186,0.00251066,0.257844],"study_design_scores_gemma":[0.003570244,0.002937171,0.7942162,0.0004080422,0.0002974314,0.00002240538,0.06285787,0.01583597,0.1098138,0.0009199177,0.008784053,0.0003369676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955384,0.00008432491,0.002952341,0.0005041835,0.00005618735,0.0006873512,0.000004032301,0.00004713603,0.0001260923],"genre_scores_gemma":[0.9992261,0.00005323301,0.0005243878,0.00002451237,0.00003259974,0.000004356277,0.000007793321,0.00001628907,0.0001107516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6781732,"threshold_uncertainty_score":0.308048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283397229116804,"score_gpt":0.2915738798623408,"score_spread":0.1632341569506605,"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."}}