{"id":"W4391680089","doi":"10.1093/neuonc/noae015","title":"Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Cancer Research UK; National Institutes of Health; National Center for Advancing Translational Sciences; Brain Tumour Charity; National Institute for Health and Care Research; U.S. National Library of Medicine","keywords":"Senescence; Biology; Wnt signaling pathway; Phenotype; Cell biology; PI3K/AKT/mTOR pathway; Gene expression; Signal transduction; Cancer research; Cytokine; Gene; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000262721,0.0001633097,0.0004814725,0.0001911732,0.0001582894,0.00001211825,0.000136209,0.0001135156,0.00008088608],"category_scores_gemma":[0.0001739083,0.00009571189,0.0002472019,0.001030462,0.0002247845,0.00004046497,0.0000979227,0.000438129,0.000005530358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530771,"about_ca_system_score_gemma":0.0002346607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494348,"about_ca_topic_score_gemma":0.001404322,"domain_scores_codex":[0.9985121,0.0003823838,0.0003440974,0.0002865512,0.0002091596,0.000265675],"domain_scores_gemma":[0.9992211,0.0003340022,0.0001250622,0.0002174699,0.00005069071,0.00005166148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002103829,0.0004646316,0.9295196,0.0000688641,0.000885083,0.0006647051,0.001458402,0.003169387,0.06066687,0.0001555754,0.00001928609,0.002717202],"study_design_scores_gemma":[0.002044765,0.0002622839,0.4985907,0.00007081779,0.00149101,0.00008676944,0.0002636976,0.4958668,0.0005681355,0.0002007349,0.0004405102,0.0001137776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963031,0.001298223,0.0001413168,0.0009008828,0.0003072604,0.0003016627,0.00002137266,0.00005026653,0.0006758551],"genre_scores_gemma":[0.9993863,0.00006053478,0.0001282445,0.0002983391,0.00004072719,0.000005378231,0.00003717405,0.00001961535,0.00002365642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926974,"threshold_uncertainty_score":0.3903018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077302181136114,"score_gpt":0.3044155289531641,"score_spread":0.2636425071418029,"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."}}