{"id":"W2043854324","doi":"10.1159/000272898","title":"Guiding Policy Decisions for Genetic Screening: Developing a Systematic and Transparent Approach","year":2009,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal; McGill University","funders":"Institut National de Santé Publique du Québec","keywords":"Genetic testing; Process (computing); Policy development; Health policy; Business; Management science; Medicine; Health care; Computer science; Economics; Economic growth","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":[0.5925177,0.004538141,0.008338692,0.02236431,0.01687504,0.0415965,0.01692441,0.0343548,0.005449058],"category_scores_gemma":[0.4911461,0.004604505,0.006317504,0.01345735,0.02741238,0.02957419,0.03680473,0.03019512,0.003494982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04308416,"about_ca_system_score_gemma":0.2427407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127074,"about_ca_topic_score_gemma":0.02003711,"domain_scores_codex":[0.3759619,0.4933652,0.04682629,0.0118764,0.06345598,0.00851419],"domain_scores_gemma":[0.3661948,0.4900783,0.02802268,0.02899961,0.07482165,0.01188303],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002721536,0.00101343,0.003492077,0.009551683,0.001191766,0.004298598,0.07011537,0.0293675,0.002699097,0.4104281,0.09847544,0.3690946],"study_design_scores_gemma":[0.0004039105,0.0002298905,0.001181907,0.01670789,0.00031574,0.0005620023,0.02622124,0.01948029,0.002187292,0.7480327,0.1839601,0.0007171214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00548885,0.005985404,0.731319,0.2185163,0.002139564,0.0166027,0.0004740241,0.0009550854,0.01851902],"genre_scores_gemma":[0.036325,0.00273619,0.9451423,0.007651086,0.0004315363,0.006191006,0.0002253564,0.0001191711,0.001178327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5925177,"threshold_uncertainty_score":0.5024983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556913379929147,"score_gpt":0.3621894134273697,"score_spread":0.206498075434455,"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."}}