{"id":"W3008308481","doi":"10.1101/2020.02.24.963553","title":"Synthesis of diagnostic quality cancer pathology images","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"AI in cancer detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; William Osler Health System; Canada's Michael Smith Genome Sciences Centre; Brampton Civic Hospital; University of British Columbia","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Deep learning; Medical physics; Quality assurance; Set (abstract data type); Pattern recognition (psychology); Machine learning; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595318,0.0006575527,0.0003063462,0.001209556,0.000151687,0.0008724025,0.0004511065,0.0006831302,0.002771707],"category_scores_gemma":[0.006222254,0.0003072503,0.0005283466,0.0005130092,0.0004267738,0.000431649,0.000764775,0.0005439208,0.0006338207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006022528,"about_ca_system_score_gemma":0.0003993417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007339,"about_ca_topic_score_gemma":0.0006572877,"domain_scores_codex":[0.9992385,0.0002038444,0.00004566847,0.0001876909,0.0002668595,0.00005758832],"domain_scores_gemma":[0.9970291,0.001175876,0.0003126563,0.0005033111,0.0008684075,0.0001106639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001975894,0.000317585,0.01919089,0.0008134883,0.0002697352,0.001369987,0.0003573126,0.3976233,0.2308356,0.005217336,0.01051907,0.3315098],"study_design_scores_gemma":[0.0001111845,0.0004419166,0.01420641,0.0000702034,0.0000882388,0.001706528,0.0001947465,0.7950189,0.1744205,0.005409905,0.008268547,0.00006285399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4392546,0.000851659,0.5467666,0.001100374,0.0003821994,0.0004085165,0.002702292,0.003208704,0.00532504],"genre_scores_gemma":[0.8470823,0.0003137295,0.1474077,0.0003172884,0.0000695146,0.00009559215,0.002777568,0.0002087029,0.001727764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002771707,"threshold_uncertainty_score":0.009272277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430524062665948,"score_gpt":0.2627697601764269,"score_spread":0.2384645195497674,"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."}}