{"id":"W4284974147","doi":"10.48550/arxiv.2207.03328","title":"Bayesian Inference of the Symmetry Energy and the Neutron Skin in $^{48}$Ca and $^{208}$Pb from CREX and PREX-2","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Physics; Energy (signal processing); Type (biology); Combinatorics; Mathematical physics; Quantum mechanics; Mathematics","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":[0.00008255691,0.0001649671,0.0002343568,0.00004792295,0.0001693964,0.00004284843,0.0003324627,0.00005374036,0.0001013312],"category_scores_gemma":[0.000002343203,0.0001325406,0.00007304302,0.0001950566,0.0002826204,0.00005759316,0.00132544,0.0003287914,5.917402e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001860054,"about_ca_system_score_gemma":0.00004898596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890874,"about_ca_topic_score_gemma":0.0001521722,"domain_scores_codex":[0.9991575,0.000121127,0.000128701,0.0004186955,0.00004694536,0.0001269957],"domain_scores_gemma":[0.9991297,0.0001634438,0.0001730489,0.0004647038,0.00002141909,0.00004765868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004179158,0.00008285725,0.0618938,0.00002105078,0.00009261032,0.000001016236,0.0003891488,0.001977359,0.0001067465,0.933512,0.00006519788,0.001816435],"study_design_scores_gemma":[0.002093111,0.0000247988,0.1430521,0.0001139516,0.0002440359,2.914017e-7,0.001718833,0.07019992,0.0002567631,0.7784085,0.003416768,0.0004709215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920098,0.00008349276,0.002542604,0.0001478032,0.00004400191,0.0002114883,0.0001594246,0.000006988249,0.004794407],"genre_scores_gemma":[0.9993925,0.0001225461,0.00003608309,0.00003068989,0.00004512621,0.000004361503,0.00002375823,0.00001281032,0.0003321051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551035,"threshold_uncertainty_score":0.8905279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639781317706894,"score_gpt":0.1700275127873438,"score_spread":0.1536296996102749,"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."}}