{"id":"W2534319025","doi":"10.1158/1538-7445.tme16-ia23","title":"Abstract IA23: Deconvolution of the triple-negative breast cancer microenvironment","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Occupational Cancer Research Centre","funders":"","keywords":"Tumor microenvironment; Triple-negative breast cancer; Stromal cell; Breast cancer; CD8; Gene signature; Immune system; Cancer; Cancer research; Medicine; Biology; Oncology; Immunology; Internal medicine; Gene expression; 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":[0.0001480796,0.0003975353,0.0002530343,0.0005692773,0.0001826325,0.0008171378,0.000357453,0.0003797455,0.005616845],"category_scores_gemma":[0.0005327167,0.0001394423,0.0003273913,0.0006118322,0.0001307171,0.0002294282,0.0004235987,0.0004049385,0.001699521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243375,"about_ca_system_score_gemma":0.000426175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003155642,"about_ca_topic_score_gemma":0.002527306,"domain_scores_codex":[0.9999299,0.00001019377,0.000001671524,0.000021841,0.00002025847,0.00001615569],"domain_scores_gemma":[0.9998978,0.00001404197,0.00001295242,0.00001388304,0.00003053002,0.00003075022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001701812,0.0001637439,0.03864631,0.0003539574,0.00023047,0.001194563,0.000187624,0.1791221,0.5071512,0.007908303,0.03626874,0.2270713],"study_design_scores_gemma":[0.00004778848,0.0001398676,0.06522221,0.000023492,0.00005744432,0.0007703717,0.0001960113,0.8647768,0.04726589,0.004422913,0.01699552,0.00008166314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7690011,0.002768937,0.1906593,0.001268464,0.000465168,0.00008761988,0.006762338,0.00814859,0.0208385],"genre_scores_gemma":[0.9597083,0.0006213315,0.03103945,0.0001292678,0.00009204064,0.00005775025,0.002871407,0.0004957009,0.004984628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005616845,"threshold_uncertainty_score":0.01879019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274078397056778,"score_gpt":0.3774184741006233,"score_spread":0.3246776901300555,"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."}}