{"id":"W7135059285","doi":"10.5376/cge.2024.12.0022","title":"Multi-Modal Data Fusion Using AI for Colon Cancer Prediction","year":2024,"lang":"","type":"article","venue":"Cancer Genetics and Epigenetics","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Sensor fusion; Fusion; Cancer","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":[0.001448017,0.0008656461,0.001033118,0.002257206,0.0004459575,0.0008739875,0.0007826672,0.0009534087,0.001621448],"category_scores_gemma":[0.002804485,0.0002407092,0.001173272,0.00179482,0.0002466887,0.0009835397,0.00130021,0.001073051,0.0008217464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249138,"about_ca_system_score_gemma":0.000472601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002138557,"about_ca_topic_score_gemma":0.002688149,"domain_scores_codex":[0.9992005,0.0001581816,0.00006089609,0.0002076674,0.0002484057,0.0001244101],"domain_scores_gemma":[0.9989119,0.0004946922,0.00008311342,0.0001301983,0.0003319354,0.00004810846],"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":[0.001386806,0.0005258866,0.02040849,0.0003691651,0.0004899146,0.0004172319,0.0002043607,0.07031398,0.08206143,0.00233012,0.006829968,0.8146627],"study_design_scores_gemma":[0.00001899254,0.0001676422,0.00812648,0.00002963218,0.0001908946,0.0003284854,0.0001196483,0.956193,0.02624505,0.005683305,0.002846631,0.00005015511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08165485,0.001952978,0.9081991,0.0006204424,0.0002055558,0.0001216669,0.001359527,0.003156042,0.002729965],"genre_scores_gemma":[0.740305,0.0006719293,0.2534887,0.0003798961,0.000190488,0.0001605133,0.002479214,0.0001006994,0.00222364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002257206,"threshold_uncertainty_score":0.007657945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317555835104375,"score_gpt":0.3884032320936148,"score_spread":0.2566476485831772,"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."}}