{"id":"W6906295587","doi":"10.17182/hepdata.26861.v1/t13","title":"\"Table 13\" of \"Backward pi- d Elastic Scattering from 496-MeV?c to 1050-MeV/c\"","year":2013,"lang":"en","type":"dataset","venue":"HEPData","topic":"Crystallography and Radiation Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scattering; Deformation (meteorology); Population; Elastic scattering; Elasticity (physics)","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":[0.0008548354,0.003203019,0.002015645,0.00267985,0.001285317,0.002335179,0.003638966,0.002712073,0.07966726],"category_scores_gemma":[0.00363957,0.0008847074,0.002268923,0.006035842,0.0005372024,0.001155997,0.001719768,0.002585429,0.06950775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098162,"about_ca_system_score_gemma":0.003398665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04373674,"about_ca_topic_score_gemma":0.07202797,"domain_scores_codex":[0.999138,0.0001198062,0.00007723316,0.0002586361,0.0002462378,0.000160162],"domain_scores_gemma":[0.9985631,0.0004597559,0.0001619924,0.0003074227,0.0003829241,0.000124821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001191772,0.00002262735,0.0008468525,0.001171195,0.0000763135,0.00003581715,0.00001263188,0.0006142049,0.0002527029,0.0007216444,0.9945056,0.001621316],"study_design_scores_gemma":[0.0005965541,0.00002132539,0.005372014,0.000360522,0.00009722976,0.00009169745,0.00004325528,0.0009601295,0.001361721,0.00283057,0.9882207,0.0000443917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001306309,0.0001260082,0.00007773739,0.00004347941,0.00002509907,0.000006612677,0.9984499,0.0004279187,0.0007125762],"genre_scores_gemma":[0.0006267331,0.0001111145,0.0002859864,0.00006275772,0.000007454971,0.00004437937,0.9982485,0.000117076,0.0004960444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07966726,"threshold_uncertainty_score":0.2665136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248099703608974,"score_gpt":0.2301369341492351,"score_spread":0.2176559371131454,"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."}}