{"id":"W4415904774","doi":"10.1002/ail2.70012","title":"Automated <scp>AI</scp> ‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound","year":2025,"lang":"en","type":"article","venue":"Applied AI Letters","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Swedish Foundation for International Cooperation in Research and Higher Education; Makerere University; International Development Research Centre","keywords":"Workflow; Preprocessor; Lung disease; Lung ultrasound; Lung; Ultrasound; Inference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005408548,0.0008056517,0.0004700908,0.00157187,0.0001963908,0.000978742,0.0009872519,0.0008091562,0.002785041],"category_scores_gemma":[0.001882034,0.0002455099,0.0005009343,0.0006186627,0.0002296801,0.0005833711,0.0008649762,0.0006342494,0.002300978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668799,"about_ca_system_score_gemma":0.000570997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008765037,"about_ca_topic_score_gemma":0.01053285,"domain_scores_codex":[0.9995654,0.00007902613,0.00002624992,0.0001590975,0.0001001223,0.00007015624],"domain_scores_gemma":[0.9994843,0.0001406815,0.00005902673,0.0000832913,0.0001846961,0.00004803972],"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":[0.0008538716,0.0003110307,0.1194718,0.0006974855,0.000245159,0.001072792,0.0002030934,0.06356118,0.05796747,0.001234369,0.05540774,0.6989739],"study_design_scores_gemma":[0.00005618368,0.000242625,0.0635216,0.0002232111,0.00008514793,0.001134509,0.0002145929,0.8792728,0.03832495,0.002496597,0.01434967,0.0000781901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5114551,0.004477532,0.4174157,0.00223343,0.0004909186,0.0007270107,0.01769443,0.03077972,0.01472613],"genre_scores_gemma":[0.9086121,0.0007795933,0.07360914,0.0005005245,0.0001438366,0.0001726253,0.01188587,0.0002151237,0.004081237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008765037,"threshold_uncertainty_score":0.01742804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999910440774188,"score_gpt":0.3340195034641421,"score_spread":0.3140203990564002,"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."}}