{"id":"W4401422315","doi":"10.1103/physrevc.110.024305","title":"Detailed spectroscopy and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mi>γ</mml:mi><mml:mtext>−</mml:mtext><mml:mi>γ</mml:mi></mml:mrow></mml:math> angular correlation measurements of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Xe</mml:mi><mml:mprescripts/><mml:none/><mml:mn>122</mml:mn></mml:mmultiscripts></mml:math>","year":2024,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; University of Guelph; TRIUMF; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council; National Science Foundation","keywords":"Algorithm; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008621624,0.0009079389,0.0006425642,0.001483632,0.00161798,0.0006832161,0.001051269,0.0008627534,0.03529971],"category_scores_gemma":[0.0007445886,0.0005218181,0.0006062883,0.002718788,0.0004727693,0.0008742007,0.0005953772,0.001680831,0.004252176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016474,"about_ca_system_score_gemma":0.0009185725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006048356,"about_ca_topic_score_gemma":0.01393991,"domain_scores_codex":[0.9994292,0.00006159159,0.00002850024,0.0001173719,0.0002435813,0.0001198013],"domain_scores_gemma":[0.9994494,0.0001045043,0.00006931611,0.0001415784,0.0001911801,0.00004385475],"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":[0.001213384,0.0006815098,0.007677211,0.0004703039,0.000173922,0.0005986961,0.0006928735,0.003211951,0.90557,0.005854507,0.04254929,0.03130639],"study_design_scores_gemma":[0.0000859476,0.0006039541,0.03527188,0.00003076351,0.00009418599,0.0004175233,0.0003462598,0.005256298,0.8916068,0.0007885156,0.06535558,0.0001422003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596623,0.001099671,0.07264473,0.0008033267,0.0002685623,0.0005660853,0.05775697,0.003721873,0.1034765],"genre_scores_gemma":[0.7307701,0.002463907,0.06503875,0.000752111,0.000075277,0.0009204188,0.09374913,0.0030979,0.1031326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03529971,"threshold_uncertainty_score":0.1180893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902892092352264,"score_gpt":0.2832593454806842,"score_spread":0.2542304245571615,"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."}}