{"id":"W2949357936","doi":"10.1002/ijc.32542","title":"Evaluation of associations between genetically predicted circulating protein biomarkers and breast cancer risk","year":2019,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Cancer Research UK","keywords":"Breast cancer; Oncology; Medicine; Cancer; Odds ratio; Internal medicine; Biology; Bioinformatics","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":[0.003433482,0.0005655702,0.0005616021,0.001379425,0.0002610148,0.0005882745,0.0004999535,0.0006227149,0.000667918],"category_scores_gemma":[0.01130248,0.0002293903,0.000468558,0.001087346,0.0003427204,0.000258859,0.0004548487,0.0006035029,0.0001320937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329685,"about_ca_system_score_gemma":0.0002691084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155459,"about_ca_topic_score_gemma":0.0007826128,"domain_scores_codex":[0.9975726,0.001304726,0.0001438858,0.0005178935,0.0003427043,0.0001181091],"domain_scores_gemma":[0.9928263,0.004674918,0.001418768,0.0005573179,0.0003232964,0.0001994438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006183479,0.00005616352,0.9854263,0.00002330196,0.0004768608,0.0001099295,0.0000402419,0.0009627111,0.008109231,0.0001141483,0.00003833027,0.004024503],"study_design_scores_gemma":[0.00003562868,0.0003844425,0.9852458,0.000006073636,0.0003233387,0.0004498971,0.00004080185,0.009426907,0.003509807,0.0002796961,0.0002839723,0.00001370727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955538,0.0003371362,0.003482542,0.00004204269,0.000007378973,0.00000872009,0.0003537023,0.00002120117,0.0001935979],"genre_scores_gemma":[0.9965209,0.00008618125,0.002795827,0.00002276151,0.00001237928,0.00001563376,0.0004196025,0.000008918933,0.0001178857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003433482,"threshold_uncertainty_score":0.0181582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683384981256642,"score_gpt":0.33335824122217,"score_spread":0.3165243914096036,"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."}}