{"id":"W3017189677","doi":"10.1002/cncr.32851","title":"Potential impact of family history–based screening guidelines on the detection of early‐onset colorectal cancer","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Cancer Care Ontario","funders":"National Cancer Institute; National Institutes of Health; American Gastroenterological Association; National Comprehensive Cancer Network; U.S. Department of Veterans Affairs","keywords":"Medicine; Family history; Colorectal cancer; Cancer; Population; Cancer registry; Internal medicine; Family medicine; Pediatrics; Gynecology; Environmental health","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":[0.03432669,0.0003433705,0.0004263415,0.001560402,0.0005343408,0.0009803309,0.0009847793,0.001432365,0.001028223],"category_scores_gemma":[0.2529086,0.0003150759,0.0005828114,0.00147161,0.0005727204,0.001226563,0.0007672496,0.0009425891,0.000141893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917712,"about_ca_system_score_gemma":0.003846947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03249061,"about_ca_topic_score_gemma":0.03636148,"domain_scores_codex":[0.9502649,0.03978607,0.002237995,0.001849336,0.004794834,0.001066916],"domain_scores_gemma":[0.732458,0.1910704,0.04738166,0.005198341,0.01895871,0.004932882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003206049,0.0002116209,0.9522806,0.0001645566,0.0002405138,0.0001984598,0.0004520714,0.001877618,0.0000854504,0.0003855068,0.002641129,0.04114173],"study_design_scores_gemma":[0.0001399316,0.001016364,0.9793776,0.0006963421,0.0004180339,0.0005155292,0.0007617389,0.01228094,0.0003880212,0.000892173,0.003458285,0.00005513366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962513,0.006762163,0.002581557,0.0172161,0.0003997464,0.0003256536,0.00114415,0.00009683316,0.008960815],"genre_scores_gemma":[0.9958046,0.0004613729,0.002203997,0.001057306,0.0000702642,0.00006924204,0.0001913485,0.000005536757,0.0001364032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03432669,"threshold_uncertainty_score":0.1815391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07852455490605753,"score_gpt":0.334499866894438,"score_spread":0.2559753119883805,"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."}}