{"id":"W4409913803","doi":"10.1016/s2468-2667(25)00093-3","title":"Screen no matter the risk?","year":2025,"lang":"en","type":"letter","venue":"The Lancet Public Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Medicine; MEDLINE; Political science","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002292987,0.0002788531,0.000739541,0.0001355378,0.0004990183,0.0001394352,0.0005440129,0.0003599827,0.00056284],"category_scores_gemma":[0.0003013728,0.0001378299,0.0002016123,0.0004696237,0.0001351658,0.00004848019,0.0001447949,0.004313736,0.0006608159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336248,"about_ca_system_score_gemma":0.001182734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00456747,"about_ca_topic_score_gemma":0.0001986969,"domain_scores_codex":[0.9970475,0.0007672703,0.0003788111,0.000407056,0.0005371777,0.0008621896],"domain_scores_gemma":[0.9975533,0.0004258999,0.0003341785,0.001407521,0.0001685137,0.0001105983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001665693,0.000008330172,0.001089844,0.0002415916,0.0001089692,0.000007141702,0.0001321561,3.616648e-7,1.30099e-7,0.00001644694,0.9821611,0.01606733],"study_design_scores_gemma":[0.0005186062,0.0003979701,0.01316995,0.0001729213,0.00005695098,0.0000568985,0.00002028938,0.00009051755,8.163325e-7,0.00008741509,0.9853029,0.0001247636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002238247,0.0008357515,0.0004328233,0.9366744,0.001020534,0.0007780692,0.0001360734,0.0002098942,0.05968868],"genre_scores_gemma":[0.001893881,0.000525399,0.0001330369,0.9415324,0.02071097,0.0001221273,0.0002381416,0.00003932089,0.03480476],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02488392,"threshold_uncertainty_score":0.9979833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06222434533697765,"score_gpt":0.3240224682197239,"score_spread":0.2617981228827463,"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."}}