{"id":"W2900708610","doi":"10.1007/978-1-4939-8931-7_6","title":"Assessing Functional Roles of the Senescence-Associated Secretory Phenotype (SASP)","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Montréal; Institut Du Cancer de Montréal; Mitacs","keywords":"Senescence; Paracrine signalling; Autocrine signalling; Biology; Cell biology; Proinflammatory cytokine; Phenotype; Secretion; Context (archaeology); Angiogenesis; Cancer cell; Tumor microenvironment; Cell type; Cell; Immune system; Cancer; Immunology; Cancer research; Inflammation; Cell culture; Genetics; Receptor; Endocrinology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001235684,0.0001574426,0.0003822477,0.0001380902,0.00008001444,0.000008253349,0.0001770619,0.0002500358,0.0001309462],"category_scores_gemma":[0.001455364,0.0001125283,0.0001263444,0.0005250238,0.0005960629,0.00003395982,0.0001032853,0.000282191,0.000005460591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000075255,"about_ca_system_score_gemma":0.0002222564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006582719,"about_ca_topic_score_gemma":0.0000490917,"domain_scores_codex":[0.9975774,0.001280691,0.0003589657,0.0003270165,0.000155297,0.0003006437],"domain_scores_gemma":[0.9989251,0.0002436644,0.0001750448,0.0003944731,0.0002042772,0.00005747972],"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":[0.00005934464,0.00008405324,0.07155936,0.00001796329,0.00004775719,0.000008377211,0.0001754219,0.000002987103,0.9007319,0.0008757912,0.00003386082,0.02640322],"study_design_scores_gemma":[0.001202918,0.0002642492,0.3945027,0.0001871367,0.00009731289,0.00003610893,0.0003730068,0.0007365809,0.5956167,0.004409463,0.002325928,0.0002479357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6127356,0.0006767071,0.3834746,0.0003893542,0.0007844573,0.0001997504,0.000004112684,0.00003672294,0.001698684],"genre_scores_gemma":[0.8022124,0.00001810212,0.1964548,0.001004651,0.000132218,0.000008579597,0.00001494875,0.00002085274,0.0001334225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3229433,"threshold_uncertainty_score":0.458877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448137691120977,"score_gpt":0.3987141630282798,"score_spread":0.3539003939161821,"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."}}