{"id":"W7114924934","doi":"10.3390/diagnostics15243169","title":"Toward Graph-Based Decoding of Tumor Evolution: Spatial Inference of Copy Number Variations","year":2025,"lang":"en","type":"article","venue":"Diagnostics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality","keywords":"Inference; Spatial analysis; Ground truth; Graph; Cluster analysis; Pattern recognition (psychology); Silhouette","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":[0.0007909965,0.0009920133,0.0007366068,0.001404603,0.000467379,0.001022937,0.001749041,0.001365876,0.001574345],"category_scores_gemma":[0.005279766,0.0005389407,0.001072142,0.001128134,0.0009506693,0.001294426,0.001230654,0.00165287,0.0005479684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754236,"about_ca_system_score_gemma":0.001606817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02482635,"about_ca_topic_score_gemma":0.03080224,"domain_scores_codex":[0.9996212,0.00009122943,0.00001363216,0.0001699429,0.00006456101,0.00003953688],"domain_scores_gemma":[0.9985154,0.0009009085,0.0001692431,0.0001374435,0.0001986908,0.0000783225],"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":[0.00005836243,0.00002561261,0.003648842,0.00006179151,0.00005394622,0.00006973634,0.00008345869,0.9360499,0.002962408,0.008661674,0.001640621,0.04668359],"study_design_scores_gemma":[0.000002276652,0.00000420152,0.0002008665,0.000002904914,0.00000428362,0.000009626946,0.000005199393,0.9927952,0.0003884989,0.00638793,0.0001955098,0.000003438966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03846148,0.0002652647,0.9580171,0.0004526592,0.00003347251,0.00003377006,0.0004897896,0.001067303,0.00117909],"genre_scores_gemma":[0.7273179,0.0004773338,0.2638125,0.0005219778,0.00008595255,0.0001785854,0.002648733,0.0005135595,0.004443404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02482635,"threshold_uncertainty_score":0.04936367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437429108009684,"score_gpt":0.2657782441333144,"score_spread":0.2514039530532176,"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."}}