{"id":"W2325162900","doi":"10.1142/9789812792570_0003","title":"Ξ<sup>-</sup><font>P</font> SCATTERING AND STOPPED-Ξ<sup>-12</sup><font>C</font> REACTION","year":2000,"lang":"en","type":"article","venue":"","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Font; Physics; Computer science; Artificial intelligence","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":[0.0004033964,0.001128719,0.0005978605,0.001299618,0.0009748747,0.001384748,0.001329135,0.001825985,0.02162057],"category_scores_gemma":[0.001024236,0.0006348956,0.000810024,0.001207212,0.0006983152,0.001168862,0.0003817047,0.0009373075,0.002817525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000830123,"about_ca_system_score_gemma":0.0002302067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232869,"about_ca_topic_score_gemma":0.002800484,"domain_scores_codex":[0.9997028,0.00004364537,0.00001358142,0.00006076736,0.0001307945,0.00004840109],"domain_scores_gemma":[0.9994222,0.0003260917,0.00007309299,0.00004916975,0.00007601251,0.00005339907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008064014,0.0003359897,0.005060239,0.0025455,0.0002166147,0.006601905,0.00133422,0.01937196,0.3747956,0.3710584,0.140111,0.07050452],"study_design_scores_gemma":[0.000658079,0.0007320861,0.05008541,0.0002800887,0.0001617795,0.005158014,0.0006872198,0.0980503,0.5226715,0.2032641,0.1178637,0.00038775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816605,0.007363782,0.04779495,0.00395863,0.003187762,0.00010519,0.007939494,0.004742177,0.2432474],"genre_scores_gemma":[0.8998018,0.001560143,0.008821446,0.0006126428,0.0002930409,0.0000630972,0.007010918,0.001507854,0.080329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02162057,"threshold_uncertainty_score":0.07232803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951438933858296,"score_gpt":0.2287302573290905,"score_spread":0.2192158679905075,"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."}}