{"id":"W3194353469","doi":"10.1038/s41597-022-01389-0","title":"Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"AI in cancer detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Annotation; Computer science; Pipeline (software); Artificial intelligence; Cytology; Hemosiderin; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362311,0.0001475998,0.0001327108,0.000402799,0.000797966,0.000532384,0.002378546,0.00002583376,0.000177508],"category_scores_gemma":[0.00003180799,0.0001573821,0.00001755567,0.0009858831,0.000160427,0.001077432,0.005451539,0.0003185084,0.00003733469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918347,"about_ca_system_score_gemma":0.00004073699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008660943,"about_ca_topic_score_gemma":0.0003428437,"domain_scores_codex":[0.9974256,0.0001448669,0.0002808035,0.001315263,0.0005322017,0.0003012316],"domain_scores_gemma":[0.9970292,0.00005877118,0.0001174645,0.002703037,0.00002193096,0.00006962122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007210075,0.0007689776,0.0004011714,0.00008375135,0.0000158288,0.000314267,0.0008174731,0.0006213453,0.5703961,0.0008767986,0.2686821,0.1569501],"study_design_scores_gemma":[0.001100744,0.0008238401,0.007872279,0.00005428764,0.00001700079,0.0001764999,0.000703547,0.13393,0.1133137,0.00298423,0.7381861,0.0008377355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7084432,0.003078692,0.1866888,0.006669588,0.04085511,0.003284295,0.03695862,0.001621224,0.01240053],"genre_scores_gemma":[0.9944648,0.000008903713,0.00125461,0.0001208128,0.0001067909,0.00002524983,0.002031685,0.00001251473,0.0019747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4695039,"threshold_uncertainty_score":0.6794953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324494937291466,"score_gpt":0.2823903223557649,"score_spread":0.2291453729828502,"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."}}