{"id":"W4390414081","doi":"10.1016/j.gim.2023.101030","title":"Response to Stern","year":2023,"lang":"en","type":"letter","venue":"Genetics in Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Deutsche Krebshilfe; Bundesministerium für Bildung und Forschung; Canadian Institutes of Health Research; National Institute for Health and Care Research; Department of Health and Social Care; National Cancer Institute; U.S. Department of Health and Human Services; Cancer Research UK; AstraZeneca","keywords":"Stern; Argument (complex analysis); Dilemma; Population; Counterintuitive; Metaphysics; Actuarial science; Epistemology; Medicine; Philosophy; Economics; Environmental health; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.004677862,0.001383708,0.00223302,0.0009449993,0.009405473,0.009006569,0.002863449,0.1062415,0.01835063],"category_scores_gemma":[0.03280959,0.001388833,0.001989581,0.0007357033,0.0048452,0.004121588,0.004342405,0.08301248,0.01180431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007444292,"about_ca_system_score_gemma":0.009173825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125275,"about_ca_topic_score_gemma":0.01978593,"domain_scores_codex":[0.9951051,0.0007762856,0.0003150607,0.000986006,0.001472944,0.00134448],"domain_scores_gemma":[0.9911413,0.003678465,0.0005341716,0.0003142297,0.001355045,0.002976737],"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":[0.00002783734,0.00001214145,0.0001383238,0.00002069144,0.000009489605,0.0007813693,0.00008976,0.00002837983,0.00007338976,0.001792067,0.995053,0.0019736],"study_design_scores_gemma":[0.00008167287,0.00003968474,0.0006460313,0.0003131919,0.00002649166,0.001055558,0.000515723,0.0002040195,0.0001772017,0.007229842,0.9896482,0.00006247378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001949517,0.001246163,0.00006783492,0.9561034,0.03818246,0.00001722619,0.00003506944,0.00003136546,0.004121589],"genre_scores_gemma":[0.001194946,0.0003757474,0.00005556102,0.9740484,0.01266849,0.00002974957,0.00001043965,0.00001885299,0.01159794],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1062415,"threshold_uncertainty_score":0.06138897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107847890004833,"score_gpt":0.3342810584021046,"score_spread":0.3032025795020563,"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."}}