{"id":"W2982449517","doi":"10.1038/s41523-019-0133-7","title":"If we build it they will come: targeting the immune response to breast cancer","year":2019,"lang":"en","type":"review","venue":"npj Breast Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute","keywords":"Tumor microenvironment; Immune system; Immunotherapy; Immunology; Antigen presentation; Breast cancer; Cancer research; Medicine; Antigen; Cancer immunotherapy; Cancer; Biology; T cell; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001506009,0.001113383,0.002838157,0.0003399605,0.0003201643,0.0001301931,0.0009976977,0.0005951751,0.006425629],"category_scores_gemma":[0.00004882986,0.0006677328,0.00139723,0.0009428874,0.0002183715,0.0001730868,0.00028827,0.001239099,0.000323981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143221,"about_ca_system_score_gemma":0.002961194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006093196,"about_ca_topic_score_gemma":0.0002407547,"domain_scores_codex":[0.9950051,0.0005892445,0.001317807,0.001091751,0.0009131516,0.001083002],"domain_scores_gemma":[0.9964468,0.0004587909,0.0007775944,0.001628744,0.0003642664,0.0003237601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008271825,0.00009839972,0.0001583511,0.006647615,0.001685449,0.00003234598,0.0004308575,0.000006638724,0.0002373214,0.000008852787,0.03118589,0.9512364],"study_design_scores_gemma":[0.001642339,0.0001013397,0.002209356,0.0407372,0.001861839,0.001075122,0.0001243729,0.000004616612,0.000008780255,0.000003194359,0.9514269,0.0008048976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001168452,0.9513222,0.000007974931,0.03901526,0.002617456,0.002912101,0.003393251,0.0001230022,0.0004919246],"genre_scores_gemma":[0.0008363266,0.9818176,0.00003323191,0.003401608,0.002528298,0.001345348,0.00009705704,0.0002973837,0.00964315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9504316,"threshold_uncertainty_score":0.9995774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592234745956359,"score_gpt":0.3392283886206269,"score_spread":0.3133060411610633,"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."}}