{"id":"W1998739108","doi":"10.1159/000345941","title":"Stratified Cancer Screening: The Practicalities of Implementation","year":2013,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research; Cancer Research UK","keywords":"Context (archaeology); Medicine; Cancer prevention; Cancer screening; Disease; Genetic testing; Risk assessment; Cancer; Family medicine; Pathology; Internal medicine; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.265337,0.001017805,0.001131953,0.002059669,0.003430616,0.01217016,0.005976326,0.006803719,0.01560889],"category_scores_gemma":[0.3828282,0.001336452,0.002229714,0.00232979,0.006947597,0.01584109,0.01422445,0.008604404,0.001976352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01058034,"about_ca_system_score_gemma":0.03956764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0081761,"about_ca_topic_score_gemma":0.0069079,"domain_scores_codex":[0.7786943,0.1788432,0.007923316,0.005341837,0.02359177,0.005605544],"domain_scores_gemma":[0.6272544,0.3002779,0.01377948,0.02336941,0.02445197,0.01086697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005754813,0.0006715418,0.01279563,0.004884438,0.0002293466,0.001103475,0.0127258,0.003643559,0.0007420583,0.05524724,0.02484189,0.8825395],"study_design_scores_gemma":[0.001888102,0.005516914,0.04866534,0.04282789,0.0008018703,0.004606768,0.03663998,0.01916097,0.00397312,0.3693325,0.4657544,0.0008321863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05049923,0.02599464,0.1883087,0.6542161,0.002801877,0.006261676,0.0003755467,0.001236735,0.07030556],"genre_scores_gemma":[0.5101318,0.03326277,0.3923871,0.04704982,0.001861129,0.008332721,0.0003965651,0.0003687918,0.006209306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.265337,"threshold_uncertainty_score":0.9059703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07567034602255192,"score_gpt":0.3823297516506984,"score_spread":0.3066594056281465,"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."}}