{"id":"W2759360515","doi":"10.1371/journal.pcbi.1005680","title":"Interactions between the tumor and the blood systemic response of breast cancer patients","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"European Research Council; Canadian Cancer Society Research Institute","keywords":"Immune system; Immunogenicity; Tumor microenvironment; Cancer; Breast cancer; Breast tumor; Biology; Cancer research; Computational biology; Medicine; Immunology; Genetics","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":[0.000419909,0.0001348245,0.000403237,0.0001709476,0.0001505408,0.0005569187,0.0001038814,0.0001616834,0.001212611],"category_scores_gemma":[0.001074653,0.0001650982,0.0002244797,0.0002974002,0.0001582205,0.0001457815,0.0002672942,0.0002165255,0.0001766493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201685,"about_ca_system_score_gemma":0.0002909154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091561,"about_ca_topic_score_gemma":0.001782588,"domain_scores_codex":[0.9995969,0.0001556398,0.00001686755,0.0001209178,0.00006950142,0.00004020229],"domain_scores_gemma":[0.99963,0.0001978593,0.00008509255,0.00003349733,0.00002406455,0.00002954046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003710435,0.0002584358,0.5615499,0.0002525038,0.0005043988,0.0003601427,0.0004609572,0.03371247,0.3570269,0.0009492289,0.00114815,0.0400665],"study_design_scores_gemma":[0.0000866966,0.001383776,0.8086071,0.00001241902,0.0003451841,0.0006045064,0.0005427757,0.1072251,0.0765243,0.001543624,0.003065265,0.00005912054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969088,0.00009180162,0.00196604,0.00003929612,0.000002756961,0.000008094432,0.0005271371,0.00002344474,0.0004325881],"genre_scores_gemma":[0.9970414,0.00005523108,0.001825257,0.00004869703,0.000003851243,0.00002797742,0.0007018196,0.00001351708,0.0002821941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001212611,"threshold_uncertainty_score":0.004056513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546621035882818,"score_gpt":0.2604691225561935,"score_spread":0.2450029121973653,"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."}}