{"id":"W4411487526","doi":"10.2196/70709","title":"Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"AI in cancer detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Ensemble learning; Artificial intelligence; Computer science; Machine learning; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004658348,0.001216849,0.0009848098,0.001098007,0.00046247,0.0005842742,0.001193963,0.0009628508,0.001101458],"category_scores_gemma":[0.005017618,0.0002946508,0.001429297,0.0008401325,0.0002883691,0.0008859809,0.00116244,0.001258479,0.0005825277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008851304,"about_ca_system_score_gemma":0.001390576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248485,"about_ca_topic_score_gemma":0.008515545,"domain_scores_codex":[0.9989095,0.0003625607,0.00007170324,0.0002168265,0.0002818947,0.0001575929],"domain_scores_gemma":[0.9971321,0.0007598468,0.000168207,0.0004860302,0.001277226,0.0001765968],"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":[0.00129085,0.001937108,0.1292458,0.0002488253,0.001559571,0.0003243948,0.0001980207,0.4245527,0.008417646,0.0009791987,0.01091784,0.4203281],"study_design_scores_gemma":[0.00003317468,0.0005655888,0.01254649,0.00003471799,0.0001635086,0.0001034234,0.00007607706,0.9795114,0.005189915,0.0005671455,0.0011845,0.00002403167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741739,0.002167831,0.1146576,0.0004629775,0.0003355393,0.0003740207,0.003018095,0.002062621,0.002747383],"genre_scores_gemma":[0.9493375,0.0004288158,0.04362096,0.0001485885,0.00005388221,0.0002062873,0.004743861,0.00005318266,0.001406918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248485,"threshold_uncertainty_score":0.02482438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609775852585585,"score_gpt":0.3031101957100789,"score_spread":0.277012437184223,"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."}}