{"id":"W4400041563","doi":"10.18280/ts.410314","title":"Efficient Deep Learning Approach for the Classification of Pneumonia in Infants from Chest X-Ray Images","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pneumonia; Medicine; Deep learning; Radiology; Artificial intelligence; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006235761,0.0001329781,0.0002120369,0.0001509753,0.00006086925,0.00004098719,0.0001150344,0.00005688693,0.0001047318],"category_scores_gemma":[0.0001320339,0.00009606531,0.00009900161,0.0002684296,0.00007409523,0.00003013543,0.00002664307,0.0002096866,0.000007459329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130166,"about_ca_system_score_gemma":0.0000826672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191402,"about_ca_topic_score_gemma":0.000008897755,"domain_scores_codex":[0.9987627,0.00005729869,0.0003557444,0.0003194754,0.0003108767,0.0001939278],"domain_scores_gemma":[0.9987296,0.000922303,0.00007605714,0.0001707988,0.00005622273,0.00004498419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004655696,0.001437401,0.0228117,0.001200536,0.0003317182,0.00001829976,0.008257435,0.2152435,0.6181273,0.0003832342,0.001582243,0.1301411],"study_design_scores_gemma":[0.0008864832,0.0001412226,0.316922,0.0002452556,0.0001567197,0.000001069394,0.0005070031,0.6731384,0.003013173,0.00001358316,0.004884285,0.00009073727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042188,0.00164842,0.08412413,0.008187103,0.0001529545,0.001378389,0.00003269163,0.0001119067,0.0001456179],"genre_scores_gemma":[0.9970062,0.00002904462,0.002012047,0.0004048747,0.0001737534,0.0002347695,0.00007377561,0.00002623923,0.00003931295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6151142,"threshold_uncertainty_score":0.3917429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531312202111727,"score_gpt":0.3029699665523056,"score_spread":0.2676568445311884,"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."}}