{"id":"W2414267504","doi":"10.1103/physrevlett.117.222501","title":"How Many-Body Correlations and<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>α</mml:mi></mml:math>Clustering Shape<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>He</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Oak Ridge National Laboratory; National Research Council Canada; Lawrence Livermore National Laboratory; Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; TRIUMF; U.S. Department of Energy","keywords":"Physics; Cluster analysis; Halo; Algorithm; Mathematical physics; Statistical physics; Computer science; Quantum mechanics; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002511288,0.002193812,0.001075952,0.0006779179,0.003355175,0.003192941,0.004045432,0.001909763,0.06457034],"category_scores_gemma":[0.002175306,0.003490412,0.004306141,0.001831932,0.003806161,0.003746211,0.005694753,0.003820316,0.006208912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005782855,"about_ca_system_score_gemma":0.00163527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054828,"about_ca_topic_score_gemma":0.0006676103,"domain_scores_codex":[0.9826018,0.0009805984,0.003277498,0.003761102,0.00455383,0.004825135],"domain_scores_gemma":[0.9861773,0.002978278,0.003710554,0.004543393,0.000407163,0.002183262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001107702,0.000878964,0.00002497486,0.003930213,0.003735174,0.001241628,0.002102894,0.0008340181,0.01203893,0.8052908,0.1627621,0.006052614],"study_design_scores_gemma":[0.004094868,0.002350237,0.000352583,0.008934535,0.004781723,0.0009316494,0.002383906,0.5812569,0.3609005,0.0002065411,0.02961951,0.004187007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351715,0.005532404,0.003906523,0.005496533,0.004798817,0.0002347077,0.001837537,0.0005623182,0.1424596],"genre_scores_gemma":[0.9716122,0.007290634,0.002850004,0.004242045,0.005727592,0.003366389,0.002586765,0.001698252,0.0006261453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8050842,"threshold_uncertainty_score":0.999386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342897972105623,"score_gpt":0.2637032768193384,"score_spread":0.2402742970982822,"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."}}