{"id":"W4378718322","doi":"10.48550/arxiv.2305.16969","title":"Experimental Study of the $^{\\textbf{38}}$S Excited Level Scheme","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Argonne National Laboratory; Lawrence Livermore National Laboratory; Nuclear Physics; Office of Science; National Research Council Canada; Florida State University; TRIUMF; Laboratory Directed Research and Development; U.S. Department of Energy","keywords":"Yrast; Excited state; Neutron; Atomic physics; Physics; Level structure; Tracking (education); Extension (predicate logic); Particle (ecology); Beam energy; Spectroscopy; Beam (structure); Computer science; Nuclear physics; Optics; Theoretical computer science; Quantum mechanics","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":[0.0004708973,0.0002534346,0.0002764788,0.0004041816,0.001006366,0.0006519784,0.001033525,0.0006757446,0.02113767],"category_scores_gemma":[0.0008276394,0.0002321964,0.0001487278,0.0007614546,0.0006799372,0.0005708291,0.0005925462,0.0009197557,0.001226842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009130638,"about_ca_system_score_gemma":0.0003727439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228086,"about_ca_topic_score_gemma":0.001316128,"domain_scores_codex":[0.9996657,0.00004952877,0.00001218355,0.00009445986,0.00008820427,0.00008999233],"domain_scores_gemma":[0.9996268,0.000140621,0.00004146529,0.000105189,0.00005685465,0.00002906001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001909251,0.000356547,0.006157981,0.000442843,0.0000369639,0.0005418633,0.0008629589,0.006447163,0.8127458,0.1239618,0.004568984,0.04196778],"study_design_scores_gemma":[0.0001386634,0.001072311,0.01270188,0.0000886982,0.00003735066,0.0003325103,0.0004568765,0.03547057,0.9064729,0.01289518,0.03025069,0.00008236786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251485,0.0003240382,0.02270989,0.0004320709,0.00008310204,0.0001019539,0.001556601,0.0005275544,0.04911615],"genre_scores_gemma":[0.9869332,0.0001630534,0.007093991,0.00007336488,0.000008416038,0.00007660453,0.0004338399,0.0001081042,0.005109461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02113767,"threshold_uncertainty_score":0.07071263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.214180671652874,"score_gpt":0.2601869024981297,"score_spread":0.04600623084525571,"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."}}