{"id":"W4285818631","doi":"10.1109/tcbb.2022.3192139","title":"Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures","year":2022,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Artificial intelligence; Deep learning; Computer science; Machine learning; Benchmark (surveying); Lung cancer; Cancer detection; False positive rate; Pattern recognition (psychology); Medicine; Cancer; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005278908,0.000537311,0.0003966493,0.0007774967,0.0002116754,0.0005312493,0.0008245234,0.0008419445,0.00111531],"category_scores_gemma":[0.001166231,0.0002675644,0.0003923321,0.0003352494,0.0001967486,0.0005086322,0.0006014652,0.0005891846,0.0004927445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007071677,"about_ca_system_score_gemma":0.0008163113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008018151,"about_ca_topic_score_gemma":0.01206842,"domain_scores_codex":[0.9996395,0.00007401385,0.00002256395,0.00009021709,0.0001115158,0.00006217731],"domain_scores_gemma":[0.9996374,0.0001135484,0.00004224117,0.00005358699,0.0001245512,0.00002876781],"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":[0.0003597571,0.0003926767,0.01353201,0.0001192104,0.0001055719,0.0002304283,0.0000560093,0.1830478,0.06028353,0.001962837,0.006321865,0.7335884],"study_design_scores_gemma":[0.000008074347,0.0000375394,0.001481781,0.000005793413,0.000008024709,0.00005376938,0.000005497856,0.9906045,0.006772893,0.0005644358,0.0004515232,0.000006297309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3198478,0.002355987,0.6646211,0.0007607874,0.000109192,0.0001601097,0.0006744556,0.006598744,0.004871868],"genre_scores_gemma":[0.8732829,0.0004202841,0.1203514,0.0002403763,0.00005094274,0.00007037108,0.001334849,0.0000447328,0.004204194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008018151,"threshold_uncertainty_score":0.01594293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025560861096137,"score_gpt":0.3131356878464332,"score_spread":0.2828800792354718,"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."}}