{"id":"W4394939702","doi":"10.1007/978-3-031-47724-9_7","title":"Impact of Gender and Chest X-Ray View Imbalance in Pneumonia Classification Using Deep Learning","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CMC Microsystems (Canada)","funders":"","keywords":"Pneumonia; Medicine; Intensive care medicine; Artificial intelligence; Computer science; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004443802,0.0003734369,0.0009549253,0.0003149747,0.00003796479,0.00006780957,0.00005935535,0.0006413302,0.00001067422],"category_scores_gemma":[0.0000973878,0.000304201,0.000112434,0.0001529748,0.00008957589,0.00003577696,0.00005003633,0.001043543,0.000001099598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216873,"about_ca_system_score_gemma":0.00009179194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003607256,"about_ca_topic_score_gemma":0.0001160231,"domain_scores_codex":[0.9983246,0.00006124824,0.0006036074,0.0005367945,0.0002053532,0.0002684299],"domain_scores_gemma":[0.9987747,0.0005272887,0.0002861097,0.0002603566,0.00006561857,0.00008589624],"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":[0.0001281256,0.00005697333,0.187788,0.007448052,0.0003845719,0.0002287132,0.001513034,0.7764857,0.001508029,0.0008909437,0.00004824644,0.02351957],"study_design_scores_gemma":[0.0006337265,0.0002055244,0.07877476,0.01473161,0.0002848599,0.0001528713,0.00001827749,0.8996742,0.000001500776,0.0004180886,0.004662123,0.0004424858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1210983,0.8161047,0.04837224,0.001232417,0.002251825,0.004572215,0.00003117996,0.000243782,0.006093348],"genre_scores_gemma":[0.9936064,0.005252596,0.00006432235,0.0001454944,0.0004738329,0.00001395407,0.00003131395,0.00008487577,0.0003271539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725081,"threshold_uncertainty_score":0.999941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445396883376668,"score_gpt":0.3177783279973936,"score_spread":0.2733243591636269,"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."}}