{"id":"W4200126146","doi":"10.1109/embc46164.2021.9629705","title":"MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI))","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Alberta Innovates","keywords":"Computer science; Segmentation; Artificial intelligence; Pipeline (software); Pattern recognition (psychology); Translation (biology); Osteoarthritis; Magnetic resonance imaging; Radiology; Medicine","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":[0.0007665372,0.0009046739,0.00052721,0.0007778095,0.0003199412,0.0007172491,0.0008673212,0.0008707516,0.003560046],"category_scores_gemma":[0.001770622,0.0004265521,0.001097454,0.0005724222,0.0004783451,0.000595141,0.001150524,0.001206083,0.002404461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837298,"about_ca_system_score_gemma":0.000897173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00490846,"about_ca_topic_score_gemma":0.009960235,"domain_scores_codex":[0.9997496,0.0000360534,0.00001628187,0.0001043699,0.00004859081,0.00004500211],"domain_scores_gemma":[0.9996386,0.00008918601,0.00004476359,0.00009003118,0.0001116467,0.00002579604],"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":[0.0006204006,0.0002289514,0.004809723,0.0005105009,0.0002259142,0.0004575494,0.0004542445,0.07795655,0.1223068,0.005186586,0.03282624,0.7544165],"study_design_scores_gemma":[0.00005094001,0.0002132932,0.005339735,0.00008298065,0.00006407089,0.0006559545,0.0001627421,0.8760628,0.08448759,0.007410862,0.02538757,0.00008144911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07510626,0.0009410926,0.8896952,0.0004919418,0.0002772874,0.0003105871,0.002390091,0.02684616,0.003941473],"genre_scores_gemma":[0.282142,0.0005777012,0.6950001,0.0006605348,0.00006681722,0.0005387178,0.0111503,0.00232255,0.007541337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00490846,"threshold_uncertainty_score":0.01190948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06636952127952535,"score_gpt":0.3214118832409573,"score_spread":0.255042361961432,"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."}}