{"id":"W3120604872","doi":"10.18280/ts.370620","title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Automatic Tuberculosis Diagnosis","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Konya Teknik Üniversitesi","keywords":"Pooling; Convolutional neural network; Pyramid (geometry); Artificial intelligence; Deep learning; Computer science; Feature (linguistics); Tuberculosis; Set (abstract data type); Machine learning; Pattern recognition (psychology); Medicine; Pathology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003396628,0.0002661305,0.0004833635,0.0001479424,0.0001057153,0.00004518569,0.0001431321,0.0001301472,0.001226069],"category_scores_gemma":[0.0003041162,0.000272689,0.0002242195,0.0003344868,0.0000790667,0.0001039036,0.0000557237,0.0002354738,0.00002861771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404864,"about_ca_system_score_gemma":0.0001568391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048459,"about_ca_topic_score_gemma":0.0001051342,"domain_scores_codex":[0.9978862,0.00006503574,0.0006270012,0.0004860438,0.0004393107,0.0004963389],"domain_scores_gemma":[0.9985363,0.0008045835,0.0001182109,0.0001484392,0.0001037469,0.0002886795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002027686,0.004265678,0.5276329,0.002986046,0.001222579,0.0003285919,0.005659897,0.2238647,0.003919585,0.001442342,0.05888036,0.1677697],"study_design_scores_gemma":[0.004545226,0.0006170612,0.08954411,0.0003333804,0.0002825386,0.000006116516,0.00007347097,0.8974159,0.000711868,0.00007188877,0.006113168,0.0002852755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766427,0.00084839,0.1939881,0.1242429,0.0003882783,0.003314073,0.00007162835,0.0004499161,0.0000540016],"genre_scores_gemma":[0.9641824,0.00004879134,0.002233462,0.03166321,0.0009354518,0.0007424231,0.0001409909,0.00004921625,0.000004067853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6735512,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037360039907028,"score_gpt":0.2848178407860678,"score_spread":0.2544442403869975,"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."}}