{"id":"W3027700573","doi":"","title":"Assessment of asymmetries in biomechanical properties from corneal deformation imaging","year":2019,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deformation (meteorology); Ophthalmology; Materials science; Medicine; Composite material","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005022408,0.0002070529,0.0004389747,0.000526835,0.00009949834,0.0002282276,0.000237493,0.0001131684,0.000327759],"category_scores_gemma":[0.01075404,0.0001809904,0.0001419229,0.001290519,0.0002498969,0.00119859,0.0002030434,0.0005046373,0.0001890496],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002804228,"about_ca_system_score_gemma":0.00823542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005266959,"about_ca_topic_score_gemma":0.0001588204,"domain_scores_codex":[0.9896161,0.0001143528,0.0006739697,0.0004702968,0.008580221,0.0005450844],"domain_scores_gemma":[0.9907827,0.001016482,0.0001438825,0.0003102105,0.007529013,0.0002177384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00243877,0.003515254,0.8312127,0.0008827527,0.0003711968,0.0001041048,0.001300368,0.0002745164,0.02830027,0.0446159,0.02238554,0.06459862],"study_design_scores_gemma":[0.01000348,0.001375193,0.7728716,0.00172071,0.00005450141,0.00006144714,0.00595642,0.07342368,0.007010974,0.03627737,0.09008396,0.001160629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955513,0.0004617307,0.0001945112,0.001052465,0.0001778042,0.0008414744,0.0001921204,0.00005679068,0.1014718],"genre_scores_gemma":[0.9984195,0.00006798541,0.0001121479,0.000248636,0.00008793257,0.00006485046,0.0002647552,0.00002814969,0.0007060447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028682,"threshold_uncertainty_score":0.9975788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413229208214346,"score_gpt":0.3529737380135303,"score_spread":0.2116508171920957,"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."}}