{"id":"W6944250147","doi":"10.17863/cam.116011","title":"Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer.","year":2025,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Department of Health and Social Care; National Institutes of Health; Ovarian Cancer Research Fund; Fondation du cancer du sein du Québec; Canadian Institutes of Health Research; National Institute for Health and Care Research; Genome Canada; Cancer Research UK; Government of Canada; NIHR Cambridge Biomedical Research Centre; European Commission; Breast Cancer Research Foundation","keywords":"Aromatase inhibitor; Breast cancer; Candidate gene; Meta-analysis; Germline; Aromatase; Cancer; Germline mutation; Linkage (software)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0378173,0.001045981,0.002473217,0.001725644,0.000789495,0.00168354,0.002321395,0.002473249,0.002736777],"category_scores_gemma":[0.05193866,0.000304767,0.001755138,0.001950975,0.003882892,0.002202635,0.001657466,0.003144651,0.0004591599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008511429,"about_ca_system_score_gemma":0.002476405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100574,"about_ca_topic_score_gemma":0.0104992,"domain_scores_codex":[0.9911371,0.006172787,0.0006551737,0.0008154605,0.0009842744,0.0002351261],"domain_scores_gemma":[0.9137473,0.07375406,0.001706207,0.004560267,0.004443889,0.001788207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009507187,0.001193467,0.3975402,0.002761557,0.00684356,0.007777384,0.003572128,0.001556731,0.01388648,0.03089275,0.04468299,0.4797857],"study_design_scores_gemma":[0.004228021,0.007990862,0.6640086,0.005256657,0.0130889,0.007195408,0.006694525,0.004082372,0.007662739,0.1656779,0.1135671,0.0005469957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3794608,0.2240316,0.02593706,0.3454692,0.005697409,0.000283163,0.001904616,0.0002237574,0.01699253],"genre_scores_gemma":[0.8014182,0.06219584,0.02201593,0.09447862,0.01422218,0.0003797066,0.0006695681,0.0001898336,0.004430091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0378173,"threshold_uncertainty_score":0.1999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961495410212636,"score_gpt":0.2902788781705085,"score_spread":0.2606639240683821,"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."}}