{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003484552,0.000289703,0.0009695557,0.000825542,0.00005738379,0.00002402902,0.0003186406,0.001096151,0.005494061],"category_scores_gemma":[0.0003448686,0.0001989597,0.0006406134,0.0001740788,0.000575261,0.0000491698,0.00001736546,0.002183814,0.0001309853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529686,"about_ca_system_score_gemma":0.003213926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004279528,"about_ca_topic_score_gemma":0.00001009726,"domain_scores_codex":[0.9978796,0.0001349567,0.0006342781,0.000257235,0.0003214164,0.0007724966],"domain_scores_gemma":[0.9975973,0.0002521992,0.0003227657,0.0003207598,0.0004306211,0.001076336],"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":[0.00003871143,0.000005257218,0.0102794,0.00005748979,0.0001525853,0.4540511,0.000007338661,2.876416e-8,0.00003880154,0.00003090243,0.5348494,0.0004889796],"study_design_scores_gemma":[0.000271218,0.0004975736,0.004169555,0.0003168501,0.0001289411,0.4961159,0.00000315136,9.583065e-8,0.00004206794,0.0003386485,0.4979704,0.0001456799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06920251,0.002321904,0.00003728809,0.8352415,0.00338474,0.0002170972,0.00005704736,0.000006775001,0.08953116],"genre_scores_gemma":[0.5829823,0.00003251787,0.001259751,0.3620633,0.02499078,0.00001484272,0.00008758203,0.0001867354,0.02838215],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5137798,"threshold_uncertainty_score":0.995415,"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."}}