{"id":"W2790428249","doi":"10.21037/aes.2018.ab092","title":"AB092. Database for the anatomopathological, functional and surgical characterization of the cornea","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont; Université de Montréal; Centres Intégré Universitaires de Santé et de Services Sociaux; Computer Research Institute of Montréal","funders":"","keywords":"Cornea; Medicine; Ophthalmology","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":[0.0006300521,0.00003670698,0.00006698033,0.00002832667,0.000114491,0.00001365895,0.0001710488,0.00001239132,0.00002924579],"category_scores_gemma":[0.0002199165,0.00001826489,0.00002938373,0.0003364489,0.001035272,0.00009587222,0.00004230936,0.00003628946,0.000001007385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001321366,"about_ca_system_score_gemma":0.00001649089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003483354,"about_ca_topic_score_gemma":5.186103e-7,"domain_scores_codex":[0.9995072,0.00001025589,0.0001076941,0.00009094052,0.0001865679,0.00009734811],"domain_scores_gemma":[0.9995657,0.00007946994,0.00003449702,0.0001484001,0.0001379787,0.00003392061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001895106,0.00006885952,0.0148287,0.00008178484,0.00003268899,0.000001557598,0.0003244532,0.0002406765,0.9363251,0.004601198,0.002033394,0.04144262],"study_design_scores_gemma":[0.0002613915,0.00007582387,0.3399907,0.00008608133,0.00004067579,0.000009407437,0.00006122531,0.3937099,0.2504868,0.0004705136,0.01465943,0.0001480365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907157,0.00006989559,0.007908893,0.0008710833,0.0001419576,0.00004798508,0.0000292876,0.00001048819,0.0002046463],"genre_scores_gemma":[0.9995855,0.0001047957,0.00008268796,0.0001178631,0.00005714271,0.000002722546,0.000002975394,0.000001742531,0.00004454848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6858383,"threshold_uncertainty_score":0.3814501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05839548818001045,"score_gpt":0.3146203838832647,"score_spread":0.2562248957032542,"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."}}