{"id":"W2912091820","doi":"10.1038/s41598-019-38666-9","title":"On-chip combined radiotherapy and chemotherapy testing on soft-tissue sarcoma spheroids to study cell death using flow cytometry and clonogenic assay","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"Fonds de Recherche du Québec - Santé; Canada First Research Excellence Fund; Institute of Cancer Research; Institut Du Cancer de Montréal; Mitacs; Cancer Research Society","keywords":"Clonogenic assay; Flow cytometry; Cancer research; Soft tissue sarcoma; Radiation therapy; Sarcoma; Chemotherapy; Cell; Medicine; Pathology; Biology; Oncology; Immunology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001043928,0.0003538014,0.0004346101,0.0002460355,0.0003644887,0.0003351858,0.0001592694,0.00005760865,0.0002032722],"category_scores_gemma":[0.0000209706,0.0003228033,0.0000593425,0.000599375,0.00008678862,0.0001567623,0.00005552671,0.0002072718,0.000003658895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009799487,"about_ca_system_score_gemma":0.00005726063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004982509,"about_ca_topic_score_gemma":8.699659e-7,"domain_scores_codex":[0.9974547,0.000090637,0.0004448913,0.001152703,0.0004250046,0.0004320907],"domain_scores_gemma":[0.9982947,0.0001925851,0.0002845135,0.0009469899,0.00008538985,0.0001958369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009897519,0.000760793,0.5833071,0.00001753979,0.00009897901,0.00005549866,0.001084617,0.0008448095,0.3408192,0.0000643962,0.0002265747,0.07262158],"study_design_scores_gemma":[0.01017444,0.0101595,0.0795457,0.0004886845,0.0001361075,0.0002766715,0.001029666,0.04907859,0.8058756,0.02484777,0.0141391,0.004248187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550138,0.0001129904,0.04201654,0.00003363676,0.000764433,0.001487156,0.000004761246,0.0001170762,0.00044967],"genre_scores_gemma":[0.9210681,0.000001464256,0.0778954,0.0001412071,0.0001026793,0.00002796075,0.000006952989,0.00007541457,0.0006808721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5037614,"threshold_uncertainty_score":0.9999224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525967392584754,"score_gpt":0.2867155564692618,"score_spread":0.2714558825434143,"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."}}