{"id":"W4405823740","doi":"10.1007/978-3-031-76163-8_22","title":"Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; University of British Columbia; Artificial Intelligence in Medicine (Canada); Lawson Health Research Institute","funders":"","keywords":"Bridging (networking); Computer science; Net (polyhedron); State (computer science); Theoretical computer science; Algorithm; Computer security; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000611472,0.0003519086,0.0004418529,0.0005932551,0.0002475815,0.0002097237,0.0008504047,0.0001091021,0.000009754803],"category_scores_gemma":[0.00011613,0.0002323214,0.0001885439,0.0008824055,0.0005023597,0.0001187752,0.0006716392,0.0007141398,0.0000204104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663659,"about_ca_system_score_gemma":0.0005485479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002776223,"about_ca_topic_score_gemma":0.0006338822,"domain_scores_codex":[0.997248,0.0000288907,0.0004800457,0.0008491451,0.0009529082,0.0004409868],"domain_scores_gemma":[0.9980437,0.0003489991,0.0001597931,0.001114458,0.000196279,0.0001367536],"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":[0.00001251844,0.00002352893,0.00007179439,0.000119218,0.00002488051,0.00003980006,0.002002137,0.8399062,0.001641384,0.002020673,0.002126768,0.1520111],"study_design_scores_gemma":[0.0002104617,0.0001125942,0.0004978421,0.003413636,0.0001279527,0.00007908136,3.507335e-7,0.8647065,0.004923291,0.1101453,0.01528853,0.0004944405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003453091,0.0009365035,0.9412971,0.05061341,0.002015634,0.0009372011,0.00002973331,0.000099603,0.0006177302],"genre_scores_gemma":[0.9247457,0.00005105137,0.03872451,0.03393599,0.001053577,0.00002528771,0.00001478282,0.0001200986,0.001328978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9212926,"threshold_uncertainty_score":0.9473791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06320657338009963,"score_gpt":0.3077618492323312,"score_spread":0.2445552758522316,"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."}}