{"id":"W3209855943","doi":"10.1145/3465220","title":"Medical Image Classification based on an Adaptive Size Deep Learning Model","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Deep learning; Artificial intelligence; Computer science; Robustness (evolution); Machine learning; Bilinear interpolation; Contextual image classification; Pattern recognition (psychology); Image (mathematics); Data mining; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004849969,0.0002767083,0.0003385106,0.0002177332,0.001328737,0.00009163753,0.0006616593,0.0002306216,0.000122684],"category_scores_gemma":[0.0006785656,0.000301604,0.0001430679,0.0007392174,0.0004003332,0.0001231598,0.0000647904,0.001163566,0.00005917692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928548,"about_ca_system_score_gemma":0.0005233921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005030884,"about_ca_topic_score_gemma":0.00008940141,"domain_scores_codex":[0.9976645,0.0003253742,0.0005142496,0.0006844082,0.0005092307,0.0003022461],"domain_scores_gemma":[0.9912912,0.004549453,0.0001659629,0.00305445,0.0004999014,0.0004390523],"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":[0.0001259094,0.006035801,0.0003519569,0.00008492339,0.0001285549,0.000007608784,0.001040789,0.05503711,0.006420763,0.001578903,0.0001653442,0.9290223],"study_design_scores_gemma":[0.00126561,0.0002073387,0.00251566,0.0001844093,0.0001659192,0.00001998242,0.0004911508,0.9874582,0.0006335782,0.0002370137,0.006558302,0.0002628237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003431291,0.0001537608,0.9467609,0.0478321,0.00003695738,0.0007535967,0.00003690959,0.0004310261,0.000563442],"genre_scores_gemma":[0.6798995,0.0005603961,0.3138111,0.00495736,0.00005994653,0.0003713126,0.0002049761,0.00004874036,0.00008661071],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9324211,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041496211789009,"score_gpt":0.3529793138213099,"score_spread":0.3025643517034198,"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."}}