{"id":"W2962868687","doi":"10.5220/0006202105570566","title":"Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections","year":2017,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Barcode; Projection (relational algebra); Radon; Computer science; Radon transform; Artificial intelligence; Image (mathematics); Computer vision; Feature (linguistics); Random projection; Pattern recognition (psychology); Algorithm","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":[0.001240353,0.001568283,0.002107395,0.007202515,0.0006060933,0.002217723,0.001881556,0.00152253,0.00272098],"category_scores_gemma":[0.005042303,0.000493995,0.001676295,0.005679239,0.0008580397,0.002999702,0.002586949,0.001390804,0.003621852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484084,"about_ca_system_score_gemma":0.001138568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309105,"about_ca_topic_score_gemma":0.003283156,"domain_scores_codex":[0.9984741,0.0001879496,0.0001247682,0.0003852278,0.0006795977,0.0001483463],"domain_scores_gemma":[0.9977674,0.0005883613,0.0003470574,0.0006057108,0.0005698044,0.0001215132],"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":[0.0005490311,0.0003459617,0.005027479,0.0006401609,0.0002416118,0.0004327938,0.0002251011,0.01830046,0.059449,0.003582222,0.009836476,0.9013698],"study_design_scores_gemma":[0.0001361915,0.0007439996,0.01302298,0.0001491388,0.0002635799,0.003194585,0.0006700372,0.8177054,0.1235996,0.01940937,0.02088674,0.0002183925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04623104,0.002080178,0.9397004,0.0003111642,0.0001496081,0.0003120051,0.001303755,0.008183501,0.001728381],"genre_scores_gemma":[0.2066629,0.00136793,0.7820062,0.0002532982,0.000284028,0.0002743686,0.006007433,0.0005090632,0.002634699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007202515,"threshold_uncertainty_score":0.009102583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600875198516276,"score_gpt":0.3748590586092534,"score_spread":0.2147715387576259,"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."}}