{"id":"W2060740447","doi":"10.1103/physrevc.81.054911","title":"Model for hypernucleus production in heavy ion collisions","year":2010,"lang":"en","type":"article","venue":"Physical Review C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Joint Institute for Nuclear Research","keywords":"Physics; Hypernucleus; Lambda; Nuclear physics; Rapidity; Particle physics; Hyperon; Heavy ion; Production (economics); Nucleon; Coalescence (physics); Atomic physics; Ion; Hadron; Quantum mechanics","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":[0.0004754973,0.0005036838,0.0003856103,0.0006424424,0.0004474201,0.0008627126,0.00172223,0.0008636576,0.003917417],"category_scores_gemma":[0.0008533684,0.0002461023,0.0005090631,0.0004745308,0.0005538954,0.0008877136,0.0004746112,0.0004854604,0.0009742699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009062038,"about_ca_system_score_gemma":0.0009470459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004308496,"about_ca_topic_score_gemma":0.002706439,"domain_scores_codex":[0.9997137,0.0000795693,0.000007476102,0.00005666731,0.00007381415,0.00006876457],"domain_scores_gemma":[0.9997306,0.00009650241,0.00005194993,0.00002980794,0.00004444891,0.00004662223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002131852,0.0001189535,0.01385981,0.00007557074,0.00005654904,0.0008083088,0.00008996262,0.8199093,0.007608509,0.151592,0.001205523,0.004462396],"study_design_scores_gemma":[0.00004732444,0.00007704346,0.002202554,0.00000632813,0.0000167589,0.000240096,0.00003064554,0.9719334,0.001696347,0.02226753,0.001455727,0.00002619055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6654311,0.0008973369,0.2878592,0.0007427983,0.0001158095,0.0001937548,0.001280418,0.0008130475,0.04266651],"genre_scores_gemma":[0.9766399,0.0003524798,0.01138016,0.0001346264,0.00002969339,0.0001986577,0.0005571442,0.00009593047,0.01061156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004308496,"threshold_uncertainty_score":0.01310509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424821464893362,"score_gpt":0.3694048663655023,"score_spread":0.3269227198761662,"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."}}