{"id":"W4318916371","doi":"10.1097/iae.0000000000003723","title":"Correspondence","year":2023,"lang":"en","type":"article","venue":"Retina","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Library science; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008505704,0.00003672297,0.0000665275,0.00005496531,0.0000383867,0.000005097124,0.00002985262,0.00002257516,0.001169402],"category_scores_gemma":[0.0001418805,0.00002934497,0.00003715992,0.0002984993,0.00002980508,0.00001457394,0.00001906904,0.00006535631,0.005873538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009905387,"about_ca_system_score_gemma":0.0000295463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004230485,"about_ca_topic_score_gemma":5.729922e-7,"domain_scores_codex":[0.9996164,0.000007537738,0.00006398388,0.00008702723,0.0001129486,0.0001120952],"domain_scores_gemma":[0.9997231,0.00005288222,0.0000117706,0.0001214209,0.00003000489,0.00006083717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004156216,0.0001536164,0.1021129,0.0002313503,0.00005756779,0.002711132,0.0008989125,0.000008994596,0.06521291,0.02544989,0.7599199,0.04282713],"study_design_scores_gemma":[0.0004512994,0.0002353704,0.7607098,0.0001401178,0.00003954678,0.0002808373,0.0002075943,0.0008510964,0.002157008,0.001481817,0.2333386,0.0001069191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007547,0.00003067773,0.00003738741,0.004529661,0.0001220848,0.00008979205,0.000002930905,0.000196038,0.09423668],"genre_scores_gemma":[0.8898994,0.00004133334,0.0001755657,0.0002558252,0.0001005494,0.00001001344,0.00002253581,0.000006386085,0.1094883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6585969,"threshold_uncertainty_score":0.9997436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571118050601486,"score_gpt":0.3213926024839388,"score_spread":0.295681421977924,"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."}}