{"id":"W2580588788","doi":"","title":"Use of animal models in colorectal cancer prevention.","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Azoxymethane; Colorectal cancer; Carcinogen; Aberrant crypt foci; Cancer prevention; Carcinogenesis; Cancer; Medicine; Genetic model; Cancer research; Knockout mouse; Germline mutation; Mouse model of colorectal and intestinal cancer; Biology; Mutation; Genetics; Internal medicine; Gene; Colonic disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383057,0.000145103,0.0002603037,0.00008002712,0.00005086635,0.000004708585,0.00007255272,0.0002260325,0.00006112266],"category_scores_gemma":[0.000077903,0.0001504124,0.0001278082,0.00008879737,0.0002409336,0.00001602787,0.00004642504,0.00005598081,5.000442e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002383212,"about_ca_system_score_gemma":0.0001191588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006808742,"about_ca_topic_score_gemma":0.001085113,"domain_scores_codex":[0.9984778,0.0003831162,0.0004615168,0.0003825231,0.00004864997,0.0002464346],"domain_scores_gemma":[0.9994634,0.00006150696,0.0002027905,0.0001270081,0.00007223652,0.00007301781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00288993,0.0003001019,0.7315351,0.0002045334,0.0002392856,0.000002248031,0.00002537376,0.002325162,0.2345816,0.001445423,0.01941095,0.007040188],"study_design_scores_gemma":[0.002743893,0.0007199546,0.8975187,0.0002295498,0.0001503326,0.000007543935,0.00005271144,0.001843209,0.04190537,0.04686129,0.007469448,0.0004979868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727358,0.02442962,0.001769273,0.0003717694,0.0001716309,0.0002815163,0.0001205338,0.000007902084,0.0001119378],"genre_scores_gemma":[0.9917578,0.005751872,0.001395094,0.0001388399,0.0001522199,0.0001617634,0.0002485416,0.00001310027,0.0003808176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926763,"threshold_uncertainty_score":0.613364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05098835441219236,"score_gpt":0.3390205658217405,"score_spread":0.2880322114095482,"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."}}