{"id":"W4396938654","doi":"10.1136/gutjnl-2024-332325","title":"Beyond traditional subtyping: a multilayered genomic perspective on colorectal cancer","year":2024,"lang":"en","type":"letter","venue":"Gut","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Subtyping; Colorectal cancer; Perspective (graphical); Computational biology; Medicine; Oncology; Internal medicine; Computer science; Cancer; Biology; Programming language; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01546729,0.0007567821,0.002338951,0.001397459,0.003568022,0.00544574,0.002492601,0.04003483,0.005412396],"category_scores_gemma":[0.05306605,0.0007876385,0.001448392,0.001189883,0.009974248,0.01218228,0.004821484,0.04974445,0.001960437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005431125,"about_ca_system_score_gemma":0.005860358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840464,"about_ca_topic_score_gemma":0.008011444,"domain_scores_codex":[0.9901787,0.00505428,0.00121973,0.001102586,0.001830495,0.0006141407],"domain_scores_gemma":[0.9201317,0.06474873,0.002091672,0.00212188,0.005378019,0.005528068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002032357,0.00007589439,0.001422011,0.0003527424,0.00009226087,0.002748168,0.0004545125,0.0002149616,0.0004837855,0.02753924,0.9138842,0.05252893],"study_design_scores_gemma":[0.0003149655,0.0001740336,0.001996541,0.001835361,0.0001520514,0.004833791,0.001244868,0.0008385634,0.0003192811,0.2048417,0.7832894,0.0001594129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0001965794,0.005264832,0.0001822894,0.986148,0.007492968,0.000002927851,0.0000170797,0.000008405005,0.0006868836],"genre_scores_gemma":[0.004009263,0.006258887,0.0005894845,0.8847393,0.1033332,0.00002040024,0.00001666089,0.0000157171,0.001017111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04003483,"threshold_uncertainty_score":0.08179981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108605186470986,"score_gpt":0.3081101754415621,"score_spread":0.2670241235768522,"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."}}