{"id":"W4281925782","doi":"10.1002/cyto.a.24404","title":"Volume 101A, Number 6, June 2022 Cover Image","year":2022,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Cytometry; Computer science; Flow cytometry; Cartography; Biology; Geography; Molecular biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004429505,0.001369146,0.0008138748,0.002145003,0.001310441,0.005713587,0.001243241,0.002587961,0.753631],"category_scores_gemma":[0.001590156,0.0007767836,0.000989823,0.001076614,0.0005291182,0.001816354,0.001220953,0.002484601,0.5765231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310781,"about_ca_system_score_gemma":0.0007596267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815753,"about_ca_topic_score_gemma":0.003560089,"domain_scores_codex":[0.9995247,0.00002887903,0.00001612331,0.00007591164,0.0002977959,0.00005663283],"domain_scores_gemma":[0.9991034,0.0001321127,0.00003704693,0.0000687492,0.0003755478,0.0002831285],"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":[0.00006411923,0.00002774019,0.00005480843,0.00007473598,0.000004134749,0.00008584841,0.00000413792,0.00003270046,0.001305026,0.0003898614,0.9583544,0.03960246],"study_design_scores_gemma":[0.00001458605,0.000019338,0.000378987,0.00008054088,0.000003895354,0.0003264517,0.0000149076,0.0001087005,0.0006149695,0.0003231629,0.9981085,0.000006037093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001215116,0.01732773,0.00223727,0.01655136,0.07033619,0.0002469387,0.003703641,0.002626692,0.8857551],"genre_scores_gemma":[0.00310552,0.004600777,0.0007988782,0.003274874,0.008937065,0.00006554072,0.002137308,0.0004273005,0.9766527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.246369,"threshold_uncertainty_score":0.3514155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009515233084763047,"score_gpt":0.2928195906544873,"score_spread":0.2833043575697242,"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."}}