{"id":"W2334645303","doi":"10.1097/ijg.0000000000000152","title":"Normative Databases for Imaging Instrumentation","year":2014,"lang":"en","type":"article","venue":"Journal of Glaucoma","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Eye Institute","keywords":"Medicine; Normative; Instrumentation (computer programming); Database; Artificial intelligence; Programming language; Computer science","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":[0.0002667023,0.00007203769,0.0001906757,0.0001154115,0.00005156538,0.00001194764,0.00005452503,0.00001386854,0.00003091631],"category_scores_gemma":[0.0002117554,0.00005172786,0.0001165477,0.00006487622,0.00003496943,0.0002056941,0.00001130582,0.000100798,0.000006683934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002929717,"about_ca_system_score_gemma":0.00004299514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006140923,"about_ca_topic_score_gemma":0.00000309657,"domain_scores_codex":[0.9993202,0.00002967134,0.0003012374,0.000056037,0.000177695,0.0001151434],"domain_scores_gemma":[0.9993075,0.00008221857,0.0002551526,0.0000784525,0.0001936274,0.00008304172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005293185,0.0001213757,0.9494705,0.000113673,0.00005923382,0.00001362892,0.0003241389,6.487314e-8,0.006589556,0.001049501,0.008558143,0.03317088],"study_design_scores_gemma":[0.003663234,0.0006737528,0.9371659,0.0002426123,0.0001834567,0.0007750475,0.001180053,0.001528787,0.004106178,0.000746739,0.04964064,0.00009357437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720284,0.0001358562,0.02276443,0.003262689,0.0002580308,0.0001326486,0.000003780946,0.000007381147,0.00140682],"genre_scores_gemma":[0.9887174,0.00002027103,0.01013937,0.0007852278,0.0002312377,0.000002074725,0.00001346005,0.00001005281,0.00008093911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0410825,"threshold_uncertainty_score":0.2109401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311335581817201,"score_gpt":0.2924578840219167,"score_spread":0.2793445282037447,"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."}}