{"id":"W4386546698","doi":"10.3389/fspas.2023.1228901","title":"Nuclear data for space exploration","year":2023,"lang":"en","type":"article","venue":"Frontiers in Astronomy and Space Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thomas Jefferson National Accelerator Facility; Lawrence Berkeley National Laboratory; Fermilab; Oak Ridge National Laboratory; Lawrence Livermore National Laboratory; Nuclear Physics; U.S. Department of Energy; University of California, Davis; Los Alamos National Laboratory; University of Washington; College of Engineering, Michigan State University; Jet Propulsion Laboratory; National Aeronautics and Space Administration; Jyväskylän Yliopisto; Université Catholique de Louvain; TRIUMF; University of Notre Dame; Office of Science; Florida State University; University of Nevada, Las Vegas; CERN; Michigan State University; Vanderbilt University; Langley Research Center; Brookhaven National Laboratory; Argonne National Laboratory","keywords":"Space exploration; Physics; Cosmic ray; Spacecraft; Space (punctuation); Harm; Space radiation; Deep space exploration; Field (mathematics); Data science; Systems engineering; NASA Deep Space Network; Nuclear physics; Astronomy; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007994981,0.00105608,0.001200743,0.007412445,0.001796932,0.007455324,0.002433643,0.002949057,0.1592733],"category_scores_gemma":[0.04995143,0.0005089605,0.0008965484,0.01162241,0.001338533,0.007037413,0.007102018,0.004547107,0.08768408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495885,"about_ca_system_score_gemma":0.007772324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006510373,"about_ca_topic_score_gemma":0.005206043,"domain_scores_codex":[0.9928018,0.002245,0.000804851,0.0007510656,0.003019604,0.0003776481],"domain_scores_gemma":[0.9702481,0.006685418,0.001776794,0.009018497,0.01016289,0.002108201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003180767,0.00007375613,0.003347223,0.001162083,0.00007046422,0.000136016,0.0003096933,0.0009135604,0.0007130385,0.07864153,0.7031374,0.2111771],"study_design_scores_gemma":[0.00001131884,0.00001148689,0.0005253098,0.0002443616,0.000006648744,0.00004142068,0.00008656373,0.00006327879,0.0001492416,0.009118622,0.9897323,0.000009432312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.004020502,0.02982983,0.02890823,0.05124645,0.02007635,0.0006796125,0.3555939,0.006138572,0.5035065],"genre_scores_gemma":[0.08163039,0.05834078,0.08814508,0.01839075,0.008516606,0.002620299,0.565064,0.005946014,0.1713461],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1592733,"threshold_uncertainty_score":0.5328224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928930454567599,"score_gpt":0.3059154295110947,"score_spread":0.2566261249654188,"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."}}