{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029277,0.0001596411,0.0002626583,0.00008895092,0.0002157396,0.00004344396,0.0000664894,0.00004837972,0.0000778517],"category_scores_gemma":[0.00005119429,0.0001621713,0.00006851891,0.0002145788,0.00003917088,0.0000619154,0.00008711245,0.0003381733,0.000006651377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538023,"about_ca_system_score_gemma":0.00004683694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115696,"about_ca_topic_score_gemma":6.637386e-8,"domain_scores_codex":[0.9987711,0.00002279463,0.000311984,0.0002750542,0.000298757,0.0003203537],"domain_scores_gemma":[0.9993868,0.0001912631,0.00005376167,0.0001922695,0.00004507111,0.0001307766],"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":[0.0000149151,0.0000921062,0.00004493499,0.000517812,0.00002595209,0.000007351264,0.0002195061,0.991235,0.002738756,0.004794701,0.0002234121,0.00008556516],"study_design_scores_gemma":[0.0003575727,0.00007012894,0.0000575612,0.0001824851,0.00007622036,0.0001316975,0.00002311697,0.9938496,0.00001237176,0.003323074,0.001754493,0.0001616787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1872854,0.000397915,0.8086637,0.002848692,0.0001314351,0.0003581842,0.000005031943,0.0002504892,0.0000591229],"genre_scores_gemma":[0.8776982,0.00001415508,0.1213654,0.0005087516,0.0001654167,0.0001067279,0.00001778963,0.00005145211,0.0000720816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6904128,"threshold_uncertainty_score":0.6613155,"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."}}