{"id":"W3164251887","doi":"10.1109/isbi48211.2021.9434047","title":"Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset","year":2021,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Coronavirus disease 2019 (COVID-19); Convolutional neural network; Artificial intelligence; Code (set theory); Decision tree; Machine learning; Data mining; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003829834,0.000174724,0.0002713439,0.000147573,0.0001469339,0.00004954266,0.0001222822,0.00007476312,0.0008416581],"category_scores_gemma":[0.002258263,0.000155298,0.0001011608,0.0003497248,0.00002939785,0.00006075057,0.00006170582,0.0001354224,0.0001362494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507521,"about_ca_system_score_gemma":0.00105139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003339221,"about_ca_topic_score_gemma":0.0003273048,"domain_scores_codex":[0.9984741,0.00008242787,0.000294011,0.0006068062,0.0002687918,0.0002738628],"domain_scores_gemma":[0.9976967,0.0008602977,0.00006245135,0.0008402441,0.0001671318,0.0003731654],"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":[0.000228679,0.00102489,0.002386052,0.0004993191,0.00007795916,0.0001108225,0.0001984707,0.00004715924,0.02440685,0.001132554,0.9655051,0.004382159],"study_design_scores_gemma":[0.002759943,0.0003021232,0.004301196,0.00008319838,0.0001495823,0.00003882137,0.0001819004,0.008296374,0.01801509,0.0000983892,0.9655842,0.0001891925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1866638,0.0004919399,0.0230324,0.777562,0.0008727465,0.00360196,0.005448632,0.00136483,0.000961754],"genre_scores_gemma":[0.4635584,0.0002297541,0.02459539,0.4563648,0.0004707205,0.0003524256,0.05260707,0.0001100555,0.001711422],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3211972,"threshold_uncertainty_score":0.9215567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122942114544335,"score_gpt":0.3785450661038906,"score_spread":0.2662508546494571,"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."}}