{"id":"W2290062795","doi":"10.1038/srep22517","title":"The current use and attitudes towards tumor genome sequencing in breast cancer","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"Unicancer; European Society for Medical Oncology; European School of Oncology; Associazione Italiana di Oncologia Medica","keywords":"Breast cancer; Logistic regression; Genome; DNA sequencing; Oncology; Medicine; Cancer; Internal medicine; Genomic sequencing; Bioinformatics; Biology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005320423,0.00008590156,0.0001528754,0.001021528,0.0003453783,0.001093477,0.0003713872,0.000682404,0.001766832],"category_scores_gemma":[0.02810283,0.0001659628,0.0002456077,0.001073196,0.0007871332,0.0009287777,0.0006422563,0.0006986714,0.0003873812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347011,"about_ca_system_score_gemma":0.0006026559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003528498,"about_ca_topic_score_gemma":0.003356864,"domain_scores_codex":[0.9959465,0.002208658,0.0004163285,0.0002289548,0.0009057309,0.000293747],"domain_scores_gemma":[0.9607275,0.01692834,0.01631597,0.0007171811,0.002042179,0.003268891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005492366,0.00005590954,0.9918464,0.0000341807,0.00002139304,0.00008006114,0.001599938,0.00005206151,0.0001835152,0.00003333872,0.0002091449,0.005829081],"study_design_scores_gemma":[0.00000398145,0.000180044,0.9923517,0.00007364761,0.0000175125,0.0005505296,0.005351008,0.0003107018,0.0001311777,0.00006032507,0.0009570338,0.00001236356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973552,0.0004719417,0.00009713197,0.00107577,0.00001022931,0.000005780232,0.00006642075,0.000003613839,0.0009137723],"genre_scores_gemma":[0.9988719,0.0005221955,0.0001035442,0.0002670719,0.00002030047,0.00000588078,0.00005630094,0.000002176373,0.0001507045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005320423,"threshold_uncertainty_score":0.02813745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840603452438689,"score_gpt":0.2699073497160112,"score_spread":0.2515013151916243,"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."}}