{"id":"W2886392628","doi":"10.1103/physrevc.98.024309","title":"Toward complete spectroscopy using <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>β</mml:mi></mml:math> decay: The example of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mmultiscripts><mml:mi>Cl</mml:mi><mml:mprescripts/><mml:none/><mml:mn>32</mml:mn></mml:mmultiscripts><mml:mo>(</mml:mo><mml:mi>β</mml:mi><mml:mi>γ</mml:mi><mml:mo>)</mml:mo><mml:mmultiscripts><mml:mi mathvariant=\"normal\">S</mml:mi><mml:mprescripts/><mml:none/><mml:mn>32</mml:mn></mml:mmultiscripts></mml:mrow></mml:math>","year":2018,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; National Science Foundation","keywords":"Physics; Isotopes of germanium; Beta decay; Decay scheme; Nuclear physics; Atomic physics; Particle physics; Gamma ray","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":[0.004683358,0.002256187,0.001205369,0.002461182,0.002019624,0.005190769,0.003882824,0.003092625,0.1368452],"category_scores_gemma":[0.005092406,0.002074941,0.002205746,0.002556836,0.001034273,0.007779811,0.003964501,0.004970339,0.1554862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417916,"about_ca_system_score_gemma":0.0023673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621398,"about_ca_topic_score_gemma":0.006875538,"domain_scores_codex":[0.9979885,0.0003775906,0.0001187333,0.0003982747,0.0009488563,0.0001680939],"domain_scores_gemma":[0.9967209,0.0006664691,0.0001570881,0.001296452,0.0008973981,0.0002617431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002767208,0.00015923,0.0005806704,0.001320073,0.0001264358,0.0003261407,0.0004041293,0.002310254,0.05469345,0.07652568,0.6820998,0.1811775],"study_design_scores_gemma":[0.00006884871,0.00004490166,0.0005378447,0.0002371371,0.00003452926,0.0002981417,0.0001017085,0.004838923,0.03661013,0.06529606,0.8918223,0.0001093794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002912586,0.002616781,0.7935111,0.007053855,0.001969062,0.0001656366,0.01409245,0.06122601,0.1164526],"genre_scores_gemma":[0.02296005,0.00800043,0.7579049,0.004319769,0.0009234803,0.0005350575,0.03974912,0.04120146,0.1244057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1368452,"threshold_uncertainty_score":0.4577929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012850090778207,"score_gpt":0.2834966320252571,"score_spread":0.243368131117475,"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."}}