{"id":"W4308992248","doi":"10.21203/rs.3.rs-1348696/v2","title":"MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Omics; Epigenomics; Interpretability; Computer science; Proteomics; Metabolomics; Data type; Computational biology; Machine learning; Artificial intelligence; Bioinformatics; Biology; DNA methylation; Gene","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":[0.00177263,0.001683883,0.0008907206,0.002134332,0.000716584,0.002080222,0.001408461,0.001450038,0.02570033],"category_scores_gemma":[0.006255903,0.0006580543,0.002353006,0.001603715,0.0004307934,0.002720186,0.002795201,0.001543563,0.01240323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008089561,"about_ca_system_score_gemma":0.0009506503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833363,"about_ca_topic_score_gemma":0.002943072,"domain_scores_codex":[0.9991264,0.0001298212,0.00005879041,0.0002826246,0.000290626,0.0001117058],"domain_scores_gemma":[0.9986416,0.0006170746,0.00006454487,0.00032849,0.0002555352,0.00009271823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004553181,0.0003984506,0.01680829,0.001996715,0.000710649,0.0008161349,0.0004451379,0.02321519,0.0593443,0.03536881,0.3337675,0.5225757],"study_design_scores_gemma":[0.0003596312,0.0003265068,0.0122761,0.0003063187,0.0003359703,0.001254061,0.0003362778,0.5617302,0.0967609,0.1430708,0.1830597,0.000183506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01787007,0.0006083465,0.7234868,0.001435176,0.0008166188,0.00029344,0.08549968,0.162063,0.007926764],"genre_scores_gemma":[0.2225946,0.0007312293,0.6417907,0.001559358,0.0004340923,0.0006582128,0.1010257,0.01480732,0.01639877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02570033,"threshold_uncertainty_score":0.08597618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0857513674605884,"score_gpt":0.3999089199837702,"score_spread":0.3141575525231818,"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."}}