{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105239,0.0004714275,0.0004621256,0.002520249,0.0002204867,0.001029352,0.000278771,0.0005884271,0.003148391],"category_scores_gemma":[0.003192788,0.0002267197,0.0003037213,0.0008535832,0.0003333779,0.0008139807,0.0005663529,0.0004087131,0.0006708672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141855,"about_ca_system_score_gemma":0.0003031465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209428,"about_ca_topic_score_gemma":0.001481895,"domain_scores_codex":[0.9994581,0.00009026535,0.00004967097,0.00008095525,0.0002523691,0.00006858465],"domain_scores_gemma":[0.9985664,0.0004109661,0.000273667,0.0002233921,0.0004273985,0.00009826256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003386045,0.0002548042,0.2049433,0.0005779235,0.0002398811,0.0008454426,0.0004717108,0.005156745,0.4814026,0.0009678454,0.002315469,0.2994382],"study_design_scores_gemma":[0.00004903597,0.0007583665,0.8523716,0.0001626479,0.0002376456,0.003750848,0.0005095483,0.04765415,0.09071571,0.0008113805,0.002856449,0.0001225489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675149,0.00120378,0.02460242,0.0001488645,0.00006168542,0.0001224393,0.001518559,0.0002329804,0.004594273],"genre_scores_gemma":[0.9942921,0.000297486,0.004224673,0.00003600098,0.00002183901,0.00003387796,0.0004157607,0.00005174154,0.0006265224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003148391,"threshold_uncertainty_score":0.01053238,"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."}}