{"id":"W4283834607","doi":"10.18280/mmep.090325","title":"Image Classification Using a Fully Convolutional Neural Network CNN","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Pneumonia; Artificial intelligence; Field (mathematics); Contextual image classification; Deep learning; Image (mathematics); Pattern recognition (psychology); Machine learning; Medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730817,0.0007135831,0.0004268491,0.0005703113,0.0002285422,0.0007367742,0.0009377764,0.0009144851,0.003843405],"category_scores_gemma":[0.0006652742,0.0002873758,0.0006636138,0.0006005166,0.0002611704,0.0008149745,0.0005042278,0.0007310497,0.001516191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008015453,"about_ca_system_score_gemma":0.0005985569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01507117,"about_ca_topic_score_gemma":0.01418302,"domain_scores_codex":[0.9998339,0.00001337657,0.000009843848,0.0000525333,0.0000513939,0.00003887114],"domain_scores_gemma":[0.9998331,0.00003567837,0.00001522923,0.00002528731,0.0000776926,0.00001297635],"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":[0.0002283385,0.0001724451,0.002258198,0.0001800033,0.0001730259,0.0002418739,0.00004736716,0.2571135,0.05076205,0.006947562,0.008272249,0.6736034],"study_design_scores_gemma":[0.000003257489,0.00003692125,0.000507222,0.00001248559,0.00001864299,0.00004798257,0.000005918102,0.99062,0.005549333,0.001260999,0.001930256,0.000007026814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04222609,0.001553559,0.9407406,0.0005983609,0.0003779697,0.0001077015,0.0005744818,0.003734239,0.01008699],"genre_scores_gemma":[0.6619467,0.001474633,0.304965,0.0005882073,0.0002321521,0.0001472226,0.001783525,0.0001472554,0.02871539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01507117,"threshold_uncertainty_score":0.02996689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457179100344336,"score_gpt":0.2723247225728163,"score_spread":0.207752931569373,"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."}}