{"id":"W3027983196","doi":"","title":"Adaptive-optics vision simulation of multifocal lenses for myopia progression","year":2019,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptive optics; Optometry; Optics; Ophthalmology; Computer science; Medicine; Physics","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":[0.0037061,0.0002423382,0.0004539768,0.0002454424,0.0002719098,0.00008643843,0.000183381,0.0002283071,0.0001232611],"category_scores_gemma":[0.01612224,0.0002038617,0.0001779003,0.0004542897,0.0004491032,0.0006660749,0.0001955018,0.0003756146,0.0001573925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397736,"about_ca_system_score_gemma":0.002449718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009713132,"about_ca_topic_score_gemma":0.000004097416,"domain_scores_codex":[0.9918519,0.0000917064,0.0005150091,0.0005403296,0.00643418,0.0005668355],"domain_scores_gemma":[0.9788106,0.002602227,0.0001759567,0.0002709469,0.01794089,0.0001993388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06305334,0.03896049,0.3429075,0.009005127,0.004273417,0.0001771707,0.006416989,0.0135834,0.03788368,0.08249198,0.1882333,0.2130135],"study_design_scores_gemma":[0.02694467,0.07636705,0.3915707,0.004177402,0.0002648523,0.0001078253,0.003085125,0.3257493,0.005963565,0.03046735,0.1335264,0.001775769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613244,0.0003960471,0.0008209274,0.0007910424,0.0003023034,0.002981171,0.0003640934,0.00009031552,0.03292968],"genre_scores_gemma":[0.993749,0.00003646291,0.0005854582,0.00009595713,0.0002375795,0.0001083571,0.0001480278,0.0000406135,0.004998503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121659,"threshold_uncertainty_score":0.9921654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2649486364172652,"score_gpt":0.4824195928080022,"score_spread":0.217470956390737,"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."}}