{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729635,0.001508149,0.001347836,0.001798393,0.001400349,0.001700472,0.002879802,0.001356405,0.03050094],"category_scores_gemma":[0.003909268,0.0003958998,0.001106099,0.0009988029,0.0008891099,0.002082517,0.001323358,0.00191018,0.006698366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142385,"about_ca_system_score_gemma":0.001701227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008285499,"about_ca_topic_score_gemma":0.008190834,"domain_scores_codex":[0.9990492,0.0001766728,0.00003217181,0.00006307814,0.0004060813,0.0002727725],"domain_scores_gemma":[0.998601,0.0004172066,0.0001341017,0.0002704896,0.0004405836,0.0001364967],"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":[0.0004587057,0.0002530016,0.00322401,0.0006111963,0.0001658101,0.0008656169,0.001603088,0.1363032,0.0154743,0.7137883,0.05110725,0.07614555],"study_design_scores_gemma":[0.00008928578,0.00009683583,0.002176288,0.00009305064,0.00006079257,0.0002572653,0.0003838658,0.820676,0.03301037,0.1085991,0.0344299,0.0001272162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1961218,0.0006802499,0.5538229,0.001611349,0.0008432516,0.0002226005,0.001411488,0.01172825,0.2335582],"genre_scores_gemma":[0.7362046,0.0005322733,0.1864359,0.000722922,0.0001422015,0.0003778723,0.001712905,0.009000081,0.06487125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03050094,"threshold_uncertainty_score":0.1020358,"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."}}