{"id":"W3107509197","doi":"10.1158/1538-7755.disp20-ia35","title":"Abstract IA35: Novel biological insights into colorectal cancer from West Africa","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microsatellite instability; Cohort; Colorectal cancer; Medicine; Oncology; Internal medicine; Germline mutation; Cancer; Adenocarcinoma; Immunohistochemistry; Microsatellite; Biology; Mutation; Gene; Genetics","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":[0.0002435159,0.0002906825,0.0001972482,0.001253139,0.0004837172,0.000831079,0.0001883388,0.0002736648,0.001587301],"category_scores_gemma":[0.0005076196,0.0001328285,0.0001801724,0.001114447,0.0003014308,0.0003226905,0.0004902126,0.0003860412,0.0003405003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004453042,"about_ca_system_score_gemma":0.000393406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00402463,"about_ca_topic_score_gemma":0.003701952,"domain_scores_codex":[0.9999179,0.00001502265,0.000005581866,0.00002538121,0.00001198606,0.0000240593],"domain_scores_gemma":[0.9998592,0.00002651185,0.00006150291,0.000008424472,0.00002198616,0.00002242561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001196741,0.0001259134,0.5776473,0.001046092,0.0001653107,0.007318926,0.004491697,0.001149281,0.2426969,0.003829444,0.004394995,0.1559375],"study_design_scores_gemma":[0.00005069005,0.0003367821,0.8992611,0.000603739,0.0001855517,0.0170539,0.004805272,0.0019055,0.01773244,0.003069034,0.05495574,0.00004014256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970951,0.01873909,0.001337028,0.0009394154,0.00006999722,0.00004636861,0.001304019,0.0000253628,0.006587578],"genre_scores_gemma":[0.9909024,0.006086291,0.001303228,0.0002088185,0.00006071826,0.00002029057,0.000630356,0.000007709044,0.0007802572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00402463,"threshold_uncertainty_score":0.0080024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240318830262065,"score_gpt":0.3650082413596492,"score_spread":0.2409763583334427,"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."}}