{"id":"W4409252398","doi":"10.1016/j.nuclphysa.2025.123090","title":"Investigation of the excited states of 114Sn using the GRIFFIN spectrometer at TRIUMF","year":2025,"lang":"en","type":"article","venue":"Nuclear Physics A","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; TRIUMF; University of Regina; University of Victoria; University of Guelph; Simon Fraser University","funders":"Ontario Ministry of Research, Innovation and Science; National Research Council Canada; Canada Foundation for Innovation; TRIUMF; Ontario Ministry of Research and Innovation; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; International Atomic Energy Agency; University of Guelph","keywords":"Griffin; Spectrometer; Excited state; Nuclear physics; Physics; Optics; History; Archaeology","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":[0.000494043,0.0003750653,0.0002959678,0.001439251,0.001243165,0.0006023039,0.0007962355,0.001034327,0.003029361],"category_scores_gemma":[0.0005768096,0.0002631264,0.0002510132,0.0007720172,0.0006863265,0.0006112459,0.0005493294,0.0004415401,0.0001974765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088209,"about_ca_system_score_gemma":0.0003852627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006319279,"about_ca_topic_score_gemma":0.010819,"domain_scores_codex":[0.9997283,0.00004692938,0.000007554419,0.0000598552,0.00008071475,0.00007675136],"domain_scores_gemma":[0.999726,0.0001195379,0.0000463248,0.00002143716,0.00006371702,0.00002288171],"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":[0.001408135,0.0001009345,0.01975443,0.0001303193,0.00005508151,0.0005828998,0.0008102196,0.0008333014,0.9658777,0.001882116,0.0004611692,0.0081038],"study_design_scores_gemma":[0.0001494477,0.001295011,0.1434811,0.0000814744,0.00009108373,0.0008539825,0.0008415593,0.01311778,0.8303652,0.0008714039,0.008778646,0.00007323097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948831,0.0002089904,0.0009110559,0.0001268866,0.000009017565,0.00001029946,0.0001522526,0.00006298148,0.003635429],"genre_scores_gemma":[0.9971753,0.00009490878,0.0009659516,0.00002936511,0.000003391629,0.000005533359,0.0001818985,0.00002404013,0.001519492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006319279,"threshold_uncertainty_score":0.01256502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561057489477998,"score_gpt":0.2731158608509061,"score_spread":0.2475052859561261,"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."}}