{"id":"W121676529","doi":"","title":"Technique for detecting serial topographic changes in the optic disc and peripapillary retina using scanning laser tomography.","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"False positive paradox; Optic disc; Correlation; Spatial correlation; Pixel; Glaucoma; Data set; Population; Tomography; Artificial intelligence; Ophthalmology; Pattern recognition (psychology); Mathematics; Computer science; Medicine; Statistics; Radiology","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":[0.001694974,0.000513286,0.0003354376,0.001598005,0.0001994022,0.0003611804,0.0005112655,0.0004264428,0.000866097],"category_scores_gemma":[0.003893846,0.0003656122,0.0005365026,0.000565704,0.0006514517,0.0005571675,0.0003539258,0.0005852615,0.0003543353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813614,"about_ca_system_score_gemma":0.001134823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831055,"about_ca_topic_score_gemma":0.00444036,"domain_scores_codex":[0.9990282,0.0001929355,0.00004091331,0.0001097211,0.0006043984,0.00002381914],"domain_scores_gemma":[0.9974996,0.001225503,0.0004009015,0.0002357248,0.0005753528,0.00006285537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005724523,0.0001792247,0.0730587,0.0006776944,0.0004304191,0.0006222011,0.0001692754,0.01558077,0.5076189,0.002675639,0.002248763,0.3961659],"study_design_scores_gemma":[0.0002220227,0.002314514,0.1666282,0.0001019895,0.0007939247,0.0188101,0.0001490788,0.3752037,0.412815,0.003716789,0.01896165,0.0002830121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1038274,0.002097319,0.8914012,0.0003309685,0.0001113743,0.0001407283,0.0002223797,0.001079177,0.0007894562],"genre_scores_gemma":[0.3062547,0.001005194,0.6912472,0.0001332894,0.0001128816,0.000328873,0.0001940526,0.00007632822,0.0006475387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001831055,"threshold_uncertainty_score":0.008964002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740758550970876,"score_gpt":0.2402991865169288,"score_spread":0.22289160100722,"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."}}