{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416762,0.001080028,0.0005856951,0.003446333,0.0009576926,0.000845276,0.001312788,0.002067513,0.00265885],"category_scores_gemma":[0.002743898,0.0002850814,0.0008605992,0.001552187,0.0007025827,0.0005826581,0.001591345,0.00079705,0.00257377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000845065,"about_ca_system_score_gemma":0.0007955157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006895392,"about_ca_topic_score_gemma":0.01565752,"domain_scores_codex":[0.998844,0.000126376,0.0001323485,0.0004419741,0.0003029078,0.0001522767],"domain_scores_gemma":[0.9981748,0.000475648,0.00019364,0.0004677478,0.0005134406,0.0001747459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002682238,0.001199117,0.2190051,0.008368753,0.0009594219,0.007018897,0.002086961,0.02056557,0.2037352,0.003173933,0.2502998,0.2809052],"study_design_scores_gemma":[0.0002255841,0.0006755907,0.3961775,0.001133258,0.0003935477,0.01409689,0.00257077,0.06680029,0.1523521,0.004630462,0.3606938,0.0002502168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6044987,0.008445599,0.02024361,0.001321328,0.0004385218,0.0007057707,0.3441051,0.009313015,0.0109284],"genre_scores_gemma":[0.2639115,0.0013208,0.05153164,0.0005117768,0.00009064905,0.0005880232,0.6776241,0.0004242977,0.003997311],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006895392,"threshold_uncertainty_score":0.0137105,"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."}}