{"id":"W809794929","doi":"","title":"Comparing biometric measurements and refractive outcomes of cataract surgery employing data from two optical biometers","year":2014,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Biometrics; Cataract surgery; Refractive surgery; Biometric data; Medicine; Optometry; Ophthalmology; Computer science; Cornea; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004278749,0.0006333261,0.0005548148,0.001844186,0.0004517045,0.0008208933,0.0006840322,0.000709921,0.001343385],"category_scores_gemma":[0.01693759,0.0002597995,0.001398564,0.002239877,0.0005533171,0.001286836,0.001092974,0.0008688937,0.0003148126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454739,"about_ca_system_score_gemma":0.0006452076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006858309,"about_ca_topic_score_gemma":0.007142887,"domain_scores_codex":[0.9951461,0.002120414,0.0006137424,0.000631956,0.001044082,0.0004436674],"domain_scores_gemma":[0.9801666,0.009545016,0.005659481,0.001616946,0.002316373,0.0006955643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002473936,0.0001536257,0.9928902,0.00003460852,0.0004288551,0.00003821082,0.0002279118,0.00009596649,0.0005518653,0.00004301381,0.00007280583,0.002988987],"study_design_scores_gemma":[0.00003110804,0.001581833,0.9968492,0.00001048986,0.0002217036,0.0001122357,0.0003942475,0.0002395845,0.0003792754,0.00003170695,0.0001387534,0.000009793406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992605,0.0001491518,0.0001057205,0.000009319163,0.000005409605,0.000005708236,0.0002188004,0.000001754591,0.0002437068],"genre_scores_gemma":[0.9994817,0.00004414049,0.00006778579,0.000008753551,0.000006067966,0.000008498963,0.0002770027,0.000001442499,0.0001045687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006858309,"threshold_uncertainty_score":0.02262849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3033217715102165,"score_gpt":0.4491014282670714,"score_spread":0.1457796567568549,"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."}}