{"id":"W6976628538","doi":"10.60692/14jmr-8p766","title":"CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Deep learning; Gold standard (test); Medical imaging; Computed tomography; Data set; Sample (material); Patient privacy","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":[0.001022813,0.00196218,0.0008344353,0.002229286,0.0005130231,0.001246036,0.003170223,0.001728066,0.007665903],"category_scores_gemma":[0.004272805,0.0007555521,0.001247006,0.0009457479,0.0004352646,0.001222968,0.00222787,0.001677132,0.003596101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386532,"about_ca_system_score_gemma":0.002371681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762676,"about_ca_topic_score_gemma":0.02619302,"domain_scores_codex":[0.9993927,0.00007391412,0.00005097694,0.000255557,0.0001372547,0.00008955353],"domain_scores_gemma":[0.9992858,0.000201971,0.0000790972,0.000118695,0.0002127171,0.0001017925],"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":[0.001356251,0.0009168911,0.02900207,0.0008909092,0.0006806634,0.00122055,0.0001621145,0.1079437,0.01385326,0.004359516,0.3052038,0.5344103],"study_design_scores_gemma":[0.0001512373,0.0001601897,0.003201285,0.0001158132,0.00007858295,0.0004273897,0.00004880341,0.9548814,0.01045007,0.006522601,0.02390943,0.0000532675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.111735,0.004011215,0.6374088,0.002885424,0.001283165,0.001664929,0.05595836,0.171797,0.0132561],"genre_scores_gemma":[0.409943,0.001598606,0.4390815,0.002332777,0.0003743981,0.001193776,0.1252157,0.004612347,0.01564795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01762676,"threshold_uncertainty_score":0.03504831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08150814873420993,"score_gpt":0.306339707625099,"score_spread":0.2248315588908891,"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."}}