{"id":"W3044145055","doi":"","title":"Diagnostic sensitivity of macular ganglion cell layer thickness, peripapillary retinal nerve fibre layer thickness, and minimum rim width in detecting glaucoma in a large clinical population","year":2019,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ophthalmology; Glaucoma; Retinal; Nerve fiber layer; Ganglion; Nerve fibre layer; Layer (electronics); Materials science; Medicine; Ganglion cell layer; Anatomy; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780001,0.0007235707,0.0007113402,0.001807029,0.0008368986,0.001241436,0.0009245233,0.001551532,0.001428285],"category_scores_gemma":[0.01122743,0.0006348372,0.0006984842,0.0007231137,0.001435636,0.001405104,0.0009919504,0.0009146708,0.0003817669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863916,"about_ca_system_score_gemma":0.0004607034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200282,"about_ca_topic_score_gemma":0.002701667,"domain_scores_codex":[0.998026,0.000787804,0.0002127419,0.0004713686,0.0003024326,0.0001996829],"domain_scores_gemma":[0.9947116,0.00310226,0.0006319841,0.0004025087,0.0004674079,0.0006841423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004183442,0.0001071018,0.997103,0.00000549895,0.00004889717,0.0002871756,0.0001069413,0.00005625245,0.0006398948,0.00001873603,0.00007425189,0.001133802],"study_design_scores_gemma":[0.00003848916,0.000321849,0.9961799,0.000004300626,0.0000607984,0.001667956,0.0004191998,0.0009366761,0.0001798297,0.00009244172,0.00008469478,0.00001388008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999155,0.0001651569,0.0001269913,0.00007054298,0.000008029992,0.00001219884,0.00005204133,0.000006517334,0.0004035319],"genre_scores_gemma":[0.9996118,0.0000464758,0.0001277983,0.00004462399,0.00002088465,0.000008527033,0.0000699127,0.000003453489,0.00006660716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780001,"threshold_uncertainty_score":0.01470226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578893294055033,"score_gpt":0.3311224602541589,"score_spread":0.3053335273136086,"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."}}