{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005274028,0.0009206188,0.0006293562,0.002670915,0.0005614041,0.002077241,0.0007732725,0.001248223,0.3912714],"category_scores_gemma":[0.006800111,0.0003145099,0.001051187,0.003512453,0.0002461807,0.001510917,0.00111351,0.0008470139,0.1035902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068022,"about_ca_system_score_gemma":0.000638271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227305,"about_ca_topic_score_gemma":0.006089762,"domain_scores_codex":[0.9995165,0.0001310591,0.00005010388,0.00007945102,0.0001584104,0.0000645362],"domain_scores_gemma":[0.9974758,0.001029604,0.000639429,0.0002651071,0.0003518418,0.0002383061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001889545,0.0000238848,0.007170841,0.001565192,0.00005474355,0.0006081567,0.0001419458,0.0002931054,0.0003952915,0.004189749,0.8074926,0.1778756],"study_design_scores_gemma":[0.00007409091,0.00004894243,0.03298347,0.00132138,0.00008336257,0.004934695,0.0001184532,0.0003621399,0.0004758455,0.006213112,0.953338,0.00004645546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02347879,0.02421069,0.02436235,0.02689974,0.007124309,0.00104484,0.3700819,0.02231193,0.5004854],"genre_scores_gemma":[0.231235,0.04247157,0.06688884,0.02001202,0.006104711,0.001069909,0.2449077,0.00766347,0.3796467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3912714,"threshold_uncertainty_score":0.8682775,"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."}}