{"id":"W3120506007","doi":"10.1148/radiol.2021203957","title":"The RSNA International COVID-19 Open Radiology Database (RICORD)","year":2021,"lang":"en","type":"article","venue":"Radiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Toronto","funders":"National Institutes of Health; National Science Foundation","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Radiology; Generalizability theory; Medical imaging; Medical physics; Radiography; Database; Pathology; Infectious disease (medical specialty); Disease; Computer science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004866588,0.0009755493,0.00196011,0.009345515,0.0006788821,0.003063312,0.004221401,0.002086963,0.02714773],"category_scores_gemma":[0.02169237,0.0006606432,0.0008796092,0.007115544,0.0005785101,0.001639244,0.003191263,0.001090694,0.02407081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877655,"about_ca_system_score_gemma":0.004943966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761982,"about_ca_topic_score_gemma":0.01970171,"domain_scores_codex":[0.996774,0.0006208986,0.0008130626,0.0007335332,0.0008047566,0.0002535793],"domain_scores_gemma":[0.9828623,0.003897048,0.002529145,0.004277862,0.005048241,0.001385404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009470479,0.0001338699,0.01551344,0.002694876,0.0001717831,0.000531205,0.0002338936,0.001362164,0.001584449,0.002428713,0.9146664,0.05973222],"study_design_scores_gemma":[0.0005559491,0.0001463567,0.03742931,0.001340297,0.0001746627,0.0009801772,0.000278702,0.004383339,0.002118366,0.002686432,0.94976,0.0001463022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009852306,0.001913322,0.004485478,0.0008070485,0.000141212,0.000740517,0.9643796,0.004330534,0.01334991],"genre_scores_gemma":[0.01198774,0.0004812744,0.006770959,0.0003801779,0.00007902955,0.0006126536,0.9776976,0.0004280016,0.001562533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9957786,"threshold_uncertainty_score":0.09081823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06861568055788676,"score_gpt":0.4014884995381514,"score_spread":0.3328728189802646,"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."}}