{"id":"W2186041081","doi":"10.26188/13038317","title":"Risk profiling: Familial colorectal cancer","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Family history; Colorectal cancer; Medicine; Disease; Genetic testing; Risk factor; Risk assessment; Cancer; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001737911,0.0001549448,0.0002214624,0.00002362464,0.00005403479,0.00001507709,0.0001213569,0.0001189481,0.1959872],"category_scores_gemma":[0.001603253,0.0001371823,0.0001013335,0.0002158494,0.00001076882,0.00003166683,0.00009225922,0.0003214168,0.001933544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009282315,"about_ca_system_score_gemma":0.0003055631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280517,"about_ca_topic_score_gemma":0.00001473124,"domain_scores_codex":[0.9989616,0.00002443206,0.0001614269,0.0003246238,0.0002788197,0.0002490726],"domain_scores_gemma":[0.9993397,0.00005869193,0.0000757529,0.0001239556,0.0001366377,0.0002652688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006860016,0.00005690081,0.03661669,0.0005090278,0.0001245246,0.00008048399,0.0006770153,0.0001082256,0.02446609,0.000002079525,0.9254869,0.01118611],"study_design_scores_gemma":[0.002837786,0.001750218,0.1775985,0.0009645342,0.0001723605,0.00002826918,0.0001566674,0.004944907,0.4807021,0.00001994955,0.3301868,0.0006379898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6964944,0.001244928,0.000001784851,0.001346065,0.000352442,0.001306078,0.2877332,0.0003721477,0.01114892],"genre_scores_gemma":[0.9819733,0.00001751538,0.0003466851,0.001553342,0.0009000934,0.0004479308,0.01458473,0.00004110214,0.0001352854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5953001,"threshold_uncertainty_score":0.9988436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423964997365231,"score_gpt":0.299594167649923,"score_spread":0.2453545176762707,"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."}}