{"id":"W4416786470","doi":"10.2196/72665","title":"Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Colorectal cancer; Predictive modelling; Cancer; Clinical Practice; MEDLINE","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":[0.0244811,0.001416796,0.001317463,0.003256719,0.0005663481,0.00146977,0.001680021,0.001138379,0.001557777],"category_scores_gemma":[0.03441873,0.0003812317,0.002216036,0.00170186,0.0005017725,0.001437692,0.001434551,0.002165768,0.0003563719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955829,"about_ca_system_score_gemma":0.002252446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008772812,"about_ca_topic_score_gemma":0.005519061,"domain_scores_codex":[0.9925793,0.005736095,0.000302597,0.0006236093,0.0005780088,0.0001804249],"domain_scores_gemma":[0.9531848,0.04137408,0.001922652,0.00126902,0.001795806,0.0004535282],"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":[0.001104075,0.0002743012,0.05516661,0.0002804616,0.001032228,0.00008347089,0.0001155169,0.8840652,0.0001819575,0.003292278,0.001755272,0.05264859],"study_design_scores_gemma":[0.00003053353,0.0001841457,0.003644412,0.00005123996,0.00008298559,0.00002798866,0.00003474351,0.9926395,0.0001039349,0.002892235,0.0002936273,0.00001472587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139195,0.007775144,0.365343,0.00393527,0.00026741,0.0005906852,0.002980355,0.0009922236,0.00419636],"genre_scores_gemma":[0.9420919,0.001468364,0.05305736,0.0002532156,0.0001491455,0.0003688442,0.001948846,0.00007192548,0.0005903423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0244811,"threshold_uncertainty_score":0.12947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104072846837206,"score_gpt":0.3836249451323374,"score_spread":0.2795520982951314,"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."}}