{"id":"W4412689048","doi":"10.1017/s1473550425100025","title":"Estimating the potential of ionizing radiation-induced radiolysis for microbial metabolism on terrestrial planets and satellites with rarefied atmospheres","year":2025,"lang":"en","type":"article","venue":"International Journal of Astrobiology","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; York University; Advanced Technology Research Council; New York University Abu Dhabi","keywords":"Astrobiology; Ionizing radiation; Radiolysis; Planet; Atmosphere (unit); Environmental science; Radiation; Terrestrial planet; Physics; Astronomy; Irradiation; Meteorology; Optics; Nuclear physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760104,0.00007409909,0.0001590505,0.00005625681,0.00006414032,0.00004012453,0.0001903994,0.00002370948,0.00001210062],"category_scores_gemma":[0.00002223918,0.00004601053,0.00005481846,0.00004753791,0.00005093416,0.0001294145,0.00001404646,0.00008738943,6.993019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008817144,"about_ca_system_score_gemma":0.00007822111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003692622,"about_ca_topic_score_gemma":0.000003883399,"domain_scores_codex":[0.999418,0.0000457196,0.0002817986,0.00008672335,0.00008149129,0.00008626277],"domain_scores_gemma":[0.9993169,0.0001882027,0.0003368134,0.00004585362,0.0000949925,0.00001724171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005582024,0.0002394356,0.05301477,0.00001234688,0.002976001,0.000009848767,0.0009287917,0.1928869,0.4634287,0.008256881,0.001436829,0.2712274],"study_design_scores_gemma":[0.04740461,0.005684622,0.4073528,0.001379371,0.002110905,0.0004755008,0.005433546,0.1408081,0.3403758,0.03264714,0.01473225,0.001595426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738956,0.00005084389,0.02416833,0.0007993148,0.0009257037,0.0000865844,0.0000407487,0.00000182751,0.00003103687],"genre_scores_gemma":[0.9925689,0.000002923441,0.006641533,0.00004883031,0.0006236852,0.000002225277,0.00009959919,0.000002363083,0.000009953265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354338,"threshold_uncertainty_score":0.1876255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858309986092393,"score_gpt":0.2428366366665566,"score_spread":0.2342535368056327,"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."}}