{"id":"W4412809426","doi":"10.1002/adhm.202405292","title":"Cold Atmospheric Plasma Selectively Disrupts Breast Cancer Growth in a Bioprinted 3D Tumor‐Stroma Co‐Culture Model","year":2025,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Stromal cell; Cancer research; Tumor microenvironment; Breast cancer; Stroma; Cancer cell; Doxorubicin; Bone marrow; Cancer; 3D bioprinting; Medicine; Triple-negative breast cancer; Pathology; Chemotherapy; Internal medicine; Biomedical engineering; Tissue engineering; Tumor cells; Immunohistochemistry","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":[0.0001674313,0.000233667,0.0001799551,0.0001472465,0.0001356265,0.0002603363,0.0002551927,0.0003684869,0.0007768047],"category_scores_gemma":[0.00008610076,0.0001869308,0.000217904,0.0001680546,0.0001412676,0.000112602,0.0001523625,0.0003641951,0.0002530722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562946,"about_ca_system_score_gemma":0.0002306532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243197,"about_ca_topic_score_gemma":0.004194597,"domain_scores_codex":[0.9998326,0.00001386124,0.000009159708,0.00004217792,0.00007294512,0.00002917372],"domain_scores_gemma":[0.9998828,0.00003663316,0.00003046522,0.0000163783,0.00001935996,0.00001438817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004111734,0.00002420947,0.0001443231,0.00004286011,0.000004488902,0.0001101881,0.00003480089,0.001075309,0.997214,0.000119903,0.0001247204,0.001063978],"study_design_scores_gemma":[0.000008742455,0.0001661664,0.001985191,0.000006737643,0.00001556432,0.0002567771,0.00003390112,0.01100897,0.9834008,0.00004393394,0.003062288,0.00001090281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705203,0.001403112,0.02198387,0.0001334904,0.00005094139,0.00005711409,0.0007984797,0.0002396345,0.004813153],"genre_scores_gemma":[0.9742334,0.001136213,0.0204667,0.00006980608,0.000008698654,0.0001236291,0.0004920266,0.00004683114,0.003422748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243197,"threshold_uncertainty_score":0.004835665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009774975477462287,"score_gpt":0.3196574038066664,"score_spread":0.3098824283292041,"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."}}