{"id":"W4415195844","doi":"10.3390/vision9040087","title":"Development of a Neural Network to Predict Optimal IOP Reduction in Glaucoma Management","year":2025,"lang":"en","type":"article","venue":"Vision","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Glaucoma; Artificial neural network; Reduction (mathematics); Intraocular pressure; Feature (linguistics); Regression; Clinical Practice; Data reduction","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":[0.001716206,0.0009673476,0.0005760564,0.0006890101,0.0002733844,0.0007624454,0.000804709,0.0007658117,0.00119805],"category_scores_gemma":[0.004725392,0.0004574068,0.0006344882,0.0004145937,0.0001845224,0.0005443606,0.0005873753,0.001088636,0.0003725608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027616,"about_ca_system_score_gemma":0.001229401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313947,"about_ca_topic_score_gemma":0.009589147,"domain_scores_codex":[0.9996618,0.0001060501,0.00003208631,0.0001040297,0.00005613458,0.00003992053],"domain_scores_gemma":[0.9990488,0.0005561301,0.00007950691,0.00003675992,0.0002497413,0.00002899378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003874835,0.000320656,0.03350008,0.00009144244,0.000253671,0.0001681063,0.00007858114,0.840839,0.004091385,0.0005969723,0.001708254,0.1179643],"study_design_scores_gemma":[0.000007908613,0.00005567481,0.00181994,0.000010553,0.00002234722,0.00001305175,0.000006663703,0.9970828,0.0006432966,0.000219555,0.0001127483,0.000005545651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166214,0.001204039,0.3735452,0.001138825,0.000193323,0.0003551203,0.001252343,0.001503129,0.004186607],"genre_scores_gemma":[0.9383634,0.0002585715,0.0589017,0.000151737,0.00002846049,0.0002590583,0.0008100618,0.00003640228,0.001190814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313947,"threshold_uncertainty_score":0.02612603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007146824658413285,"score_gpt":0.2725227359654863,"score_spread":0.265375911307073,"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."}}