{"id":"W4396710636","doi":"10.1109/icicv62344.2024.00028","title":"Discovering Knee Osteoarthritis Using CNN Enhanced with AlexNet","year":2024,"lang":"en","type":"article","venue":"","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"WOMAC; Osteoarthritis; Gait; Physical therapy; Regression analysis; Physical medicine and rehabilitation; Linear regression; Convolutional neural network; Artificial intelligence; Gait analysis; Medicine; Computer science; Machine learning; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003231113,0.0008390624,0.0006734481,0.0008544629,0.0001715545,0.0004647111,0.0006738385,0.0004957067,0.0006775848],"category_scores_gemma":[0.000873878,0.0004091948,0.0007130434,0.0006069873,0.0001622634,0.0004414285,0.0004433292,0.0004864756,0.0002704918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121539,"about_ca_system_score_gemma":0.0006168992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518785,"about_ca_topic_score_gemma":0.0196546,"domain_scores_codex":[0.9998596,0.00001180741,0.00001008607,0.00004234729,0.00003054801,0.00004560765],"domain_scores_gemma":[0.999832,0.00004179749,0.00003219281,0.00001516973,0.00006170203,0.00001700634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005622067,0.0005223438,0.03652915,0.0003012605,0.0004944004,0.001001252,0.00008923832,0.2824961,0.03839492,0.001922468,0.009503973,0.6281828],"study_design_scores_gemma":[0.00001058527,0.0000672892,0.003645477,0.0000140033,0.00004518419,0.00007584556,0.00001614824,0.9916744,0.003204328,0.000727526,0.0005105507,0.000008664375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6696563,0.003757061,0.3164435,0.0007658661,0.0003402848,0.0001502898,0.001633316,0.00228345,0.00496992],"genre_scores_gemma":[0.9450662,0.0006790194,0.04900311,0.0002380368,0.00009520388,0.00005444382,0.001998719,0.00003051326,0.002834722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518785,"threshold_uncertainty_score":0.03019893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130804136660773,"score_gpt":0.2572768924430904,"score_spread":0.2441964787770131,"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."}}