{"id":"W4388203123","doi":"10.18280/mmep.100538","title":"An Automated System for Osteoarthritis Severity Scoring Using Residual Neural Networks","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residual; Artificial neural network; Osteoarthritis; Computer science; Artificial intelligence; Scoring system; Medicine; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009732911,0.0008215937,0.0005491119,0.001955894,0.0002069477,0.0005593734,0.0006968228,0.000482974,0.002069954],"category_scores_gemma":[0.002252013,0.000214371,0.0004607627,0.000597447,0.0001388681,0.0004108916,0.000714404,0.0003780086,0.001676377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005338526,"about_ca_system_score_gemma":0.0006588933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00800187,"about_ca_topic_score_gemma":0.01119052,"domain_scores_codex":[0.9994049,0.00009820279,0.00007456583,0.0001598446,0.0001953333,0.00006714051],"domain_scores_gemma":[0.9991162,0.0001377187,0.0001287885,0.00008805664,0.0004797179,0.00004943672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008756624,0.0003586226,0.04074561,0.0002992594,0.0001549336,0.0004807791,0.0001208761,0.03285984,0.0355068,0.001156152,0.0144771,0.8729644],"study_design_scores_gemma":[0.00006859976,0.0002989139,0.03103942,0.00009563471,0.00008292224,0.0003787848,0.0001006734,0.9335683,0.0267983,0.001699444,0.005805815,0.00006315784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2646847,0.001346178,0.7002997,0.0005406881,0.0002750418,0.0009218441,0.006472832,0.01845063,0.007008421],"genre_scores_gemma":[0.7477474,0.0005935975,0.237446,0.0002087955,0.0001166842,0.0004278445,0.007374133,0.0001481534,0.00593752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00800187,"threshold_uncertainty_score":0.01591057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15635468234959,"score_gpt":0.4022517819595283,"score_spread":0.2458970996099384,"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."}}