{"id":"W1843067546","doi":"10.1103/physrevc.70.024002","title":"Faddeev calculation of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mn>3</mml:mn><mml:mi>α</mml:mi></mml:mrow></mml:math>and<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>α</mml:mi><mml:mi>α</mml:mi><mml:mi>Λ</mml:mi></mml:mrow></mml:math>systems using<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>α</mml:mi><mml:mi>α</mml:mi></mml:mrow></mml:math>resonating-group method kernels","year":2004,"lang":"lv","type":"article","venue":"Physical Review C","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00666988,0.003560013,0.001894387,0.001167333,0.004717514,0.003485613,0.006011749,0.006317174,0.06213919],"category_scores_gemma":[0.006855699,0.006025479,0.006873842,0.004140834,0.005337714,0.003997128,0.005391749,0.006487695,0.006169705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208071,"about_ca_system_score_gemma":0.004716778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003739791,"about_ca_topic_score_gemma":0.001121347,"domain_scores_codex":[0.970811,0.001610866,0.006956518,0.0060421,0.007785203,0.006794287],"domain_scores_gemma":[0.9738368,0.005939813,0.007820142,0.007270999,0.0008031464,0.004329063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003033543,0.002115213,0.00002152453,0.0110007,0.004918806,0.003384551,0.002764907,0.004286841,0.01108103,0.8876861,0.06547803,0.004228788],"study_design_scores_gemma":[0.005106594,0.003070552,0.000111778,0.009692186,0.008240358,0.004602983,0.002323425,0.3927193,0.5534353,0.000701996,0.01543976,0.004555874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8278329,0.01129091,0.00447167,0.002195393,0.005273846,0.0003430783,0.002218874,0.001021569,0.1453518],"genre_scores_gemma":[0.9522127,0.01155126,0.007816051,0.00395578,0.008357233,0.0059342,0.006855411,0.002799859,0.0005175242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8869841,"threshold_uncertainty_score":0.9993662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907127836354752,"score_gpt":0.2964960951988473,"score_spread":0.2674248168352998,"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."}}