{"id":"W2479447402","doi":"10.1016/j.jcjo.2016.04.028","title":"Quizzical optical coherence tomography","year":2016,"lang":"en","type":"letter","venue":"Canadian Journal of Ophthalmology","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Dalhousie University","funders":"","keywords":"Optical coherence tomography; Coherence (philosophical gambling strategy); Tomography; Epiretinal membrane; Medical diagnosis; Optometry; Computed tomography; Computer science; Medical physics; Medicine; Ophthalmology; Psychology; Radiology; Physics; Visual acuity; Vitrectomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008059665,0.001120863,0.001093448,0.001931062,0.003794611,0.002558539,0.001215663,0.01392215,0.01091471],"category_scores_gemma":[0.007763842,0.0004508284,0.001522139,0.0009998112,0.001916199,0.002052264,0.0007688997,0.01232228,0.004107502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005540724,"about_ca_system_score_gemma":0.002795409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009275889,"about_ca_topic_score_gemma":0.02299254,"domain_scores_codex":[0.9990482,0.0001223865,0.0001312981,0.0001357494,0.0003567548,0.0002055736],"domain_scores_gemma":[0.9976429,0.0008511371,0.0002339019,0.0001574335,0.0005126725,0.0006018742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001800481,0.0001741446,0.006630433,0.0001798226,0.00006915682,0.6499323,0.0002361135,0.0002297147,0.001079118,0.007364132,0.3103934,0.02353146],"study_design_scores_gemma":[0.0003302245,0.0002349657,0.009403287,0.0006905802,0.0001329436,0.5927181,0.000594463,0.003574982,0.001510223,0.02217025,0.3685419,0.0000980436],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02059364,0.00736819,0.001658837,0.7641581,0.04635943,0.0001809527,0.0003658054,0.0003666265,0.1589485],"genre_scores_gemma":[0.2637337,0.009907662,0.004710145,0.4522344,0.1340894,0.0002120645,0.0003870421,0.0002282246,0.1344975],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01392215,"threshold_uncertainty_score":0.04020101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834586449425071,"score_gpt":0.2732727697220729,"score_spread":0.2449269052278222,"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."}}