{"id":"W2490532145","doi":"10.1158/1538-7445.am2016-5221","title":"Abstract 5221: Linking the molecular profile of colorectal tumors to germline genetic and environmental risk factors","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Germline; Germline mutation; Genetics; Biology; Loss of heterozygosity; Penetrance; Colorectal cancer; Lynch syndrome; Population; Genetic testing; Gene; Cancer; Computational biology; Medicine; Mutation; DNA mismatch repair; Phenotype; Allele","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":[0.00030431,0.0002263675,0.0002441113,0.001580624,0.0002159834,0.000558522,0.0001806357,0.0002269174,0.002360681],"category_scores_gemma":[0.001309691,0.0000872309,0.0002918599,0.001417284,0.0001413771,0.0001380737,0.0002379053,0.0002073186,0.0004347022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981309,"about_ca_system_score_gemma":0.0003295816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269316,"about_ca_topic_score_gemma":0.003771172,"domain_scores_codex":[0.9997392,0.00005051262,0.00002877673,0.00008885675,0.00005533175,0.00003736796],"domain_scores_gemma":[0.9992514,0.0002591851,0.0002601662,0.00004707456,0.00009440568,0.00008761359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009884359,0.00007381164,0.9160603,0.000337813,0.0002509996,0.0008258387,0.00005356137,0.0005610604,0.05243528,0.0001348802,0.002511415,0.0257666],"study_design_scores_gemma":[0.00001805217,0.0001040357,0.9912933,0.00002257035,0.0001752183,0.001440793,0.00005277103,0.0006311961,0.004560224,0.0001175953,0.001576448,0.000007875466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852368,0.001837231,0.001489113,0.0001840247,0.00002467886,0.00004845628,0.009290776,0.00006113332,0.001827738],"genre_scores_gemma":[0.9934648,0.0004307794,0.001415573,0.00008622057,0.00001964927,0.0000270417,0.004040448,0.00001457654,0.0005010041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269316,"threshold_uncertainty_score":0.007897258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698813658530704,"score_gpt":0.3033747185994985,"score_spread":0.2863865820141914,"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."}}