{"id":"W4387941167","doi":"10.1016/j.compbiomed.2023.107635","title":"Comparison of polynomial and rational function cornea models for effective dimensionality reduction","year":2023,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Zernike polynomials; Rational function; Polynomial; Curse of dimensionality; Dimensionality reduction; Mathematics; Polynomial and rational function modeling; Function (biology); Applied mathematics; Algorithm; Mathematical analysis; Computer science; Physics; Optics; Artificial intelligence; Statistics; Wavefront","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001640727,0.0007045443,0.001308825,0.0009754044,0.0005167141,0.001683986,0.001193821,0.001045721,0.002662413],"category_scores_gemma":[0.007039822,0.0002743644,0.00126077,0.0008536474,0.0007863853,0.002110342,0.0009148006,0.001174861,0.0005949252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125269,"about_ca_system_score_gemma":0.001602103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008114927,"about_ca_topic_score_gemma":0.006136125,"domain_scores_codex":[0.9994889,0.0002667668,0.00002702214,0.00005674368,0.00009106326,0.0000694049],"domain_scores_gemma":[0.9959344,0.002755646,0.000147269,0.0004338157,0.0005699608,0.000158944],"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":[0.000231699,0.00008346582,0.0008117986,0.00009354211,0.00005843988,0.00003491925,0.0000899234,0.9315941,0.0005395322,0.03916571,0.00180654,0.02549036],"study_design_scores_gemma":[0.00000632427,0.00001738273,0.0000785906,0.00000362842,0.000005263811,0.000004437945,0.000008957613,0.9934756,0.00009261684,0.006145395,0.000157991,0.00000381004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2536762,0.002543249,0.7311363,0.001726354,0.0002045009,0.0001320862,0.0007629986,0.001019201,0.00879907],"genre_scores_gemma":[0.9187499,0.001085819,0.07379311,0.0001614385,0.00008942937,0.0001415478,0.001037603,0.0002245468,0.004716574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008114927,"threshold_uncertainty_score":0.01613539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484110544260121,"score_gpt":0.3745506043647218,"score_spread":0.3261395499387097,"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."}}