{"id":"W4308440582","doi":"10.3389/fspas.2022.949432","title":"Late effects of heavy-ion space radiation on splenocyte subpopulations and NK cytotoxic function","year":2022,"lang":"en","type":"article","venue":"Frontiers in Astronomy and Space Sciences","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"National Cancer Institute; National Institutes of Health; National Synchrotron Radiation Laboratory; National Aeronautics and Space Administration","keywords":"Splenocyte; Immune system; Population; Physics; Cytotoxic T cell; Flow cytometry; Irradiation; Immunology; Molecular biology; Nuclear medicine; Biology; Medicine; Biochemistry; In vitro; Nuclear physics","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":[0.0004736316,0.0001153276,0.0002510633,0.0004116642,0.0002440709,0.00001467906,0.00005534702,0.00004606914,0.00001395463],"category_scores_gemma":[0.00005805972,0.0001035138,0.00002996969,0.0004157755,0.000289653,0.0001189254,0.00004961735,0.0001671773,7.989418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009009915,"about_ca_system_score_gemma":0.00005943819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008109335,"about_ca_topic_score_gemma":0.00001450929,"domain_scores_codex":[0.9989868,0.0001550442,0.0001377487,0.0003252263,0.0001813669,0.0002137921],"domain_scores_gemma":[0.9995871,0.00009968191,0.000114404,0.000113245,0.0000117723,0.00007378936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006920744,0.0001159687,0.9548834,0.00009205403,0.00003405708,0.000004957618,0.0006811676,0.001245603,0.008254117,0.001340933,0.001218611,0.03143704],"study_design_scores_gemma":[0.002769638,0.005574383,0.9555258,0.0001042774,0.00007516299,0.00001454721,0.001674728,0.005738186,0.01239424,0.0005746727,0.0153257,0.0002287107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892484,0.001413807,0.006029179,0.001700492,0.0007877796,0.0005365168,0.000003509653,0.00001899252,0.0002613289],"genre_scores_gemma":[0.9921619,0.00009730357,0.007305684,0.00007423352,0.00005077168,0.00004550693,0.000008434284,0.000005748429,0.0002504609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03120833,"threshold_uncertainty_score":0.422117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007049460851897294,"score_gpt":0.2338876266763642,"score_spread":0.2268381658244669,"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."}}