{"id":"W4230324655","doi":"10.1097/iae.0000000000002731","title":"Reply","year":2019,"lang":"en","type":"letter","venue":"Retina","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Political science; Library science; Optometry; Medicine; 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":[],"category_scores_codex":[0.0001634001,0.0002192385,0.0005218126,0.0001026602,0.00002097235,0.00001468809,0.00008954792,0.0004847418,0.0007096378],"category_scores_gemma":[0.0001514068,0.0001675574,0.0003349237,0.00008965747,0.00004018471,0.00001629469,0.00004816151,0.001431923,0.002822592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004798488,"about_ca_system_score_gemma":0.0001248552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003170911,"about_ca_topic_score_gemma":5.176186e-8,"domain_scores_codex":[0.9986352,0.00004581784,0.0002289416,0.0003813003,0.0003936235,0.000315131],"domain_scores_gemma":[0.9989806,0.0001062183,0.0001176807,0.0006730468,0.0000805641,0.00004192497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002693259,0.000008019495,0.0008693121,0.0006096979,0.00004836424,0.003309791,0.000008175643,1.764469e-8,0.00007284358,0.000005959601,0.9940518,0.0009891244],"study_design_scores_gemma":[0.0001764135,0.0000971736,0.0008598906,0.0004777719,0.0001315709,0.0006235198,0.000001943772,0.000003483711,0.0001256899,0.00003022946,0.997282,0.0001902734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001080246,0.0005096651,0.000009492448,0.878193,0.0007790565,0.0003060299,0.000008076445,0.00009732206,0.1190171],"genre_scores_gemma":[0.0001785634,0.0001139503,0.00009731198,0.7916458,0.004927393,0.000009691586,0.0003624538,0.00005633489,0.2026086],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08654721,"threshold_uncertainty_score":0.9979538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860614336944792,"score_gpt":0.2547173185954239,"score_spread":0.236111175225976,"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."}}