{"id":"W3103561382","doi":"10.22541/au.149037518.89916908","title":"Angle-resolved RABBIT: theory and numerics","year":2017,"lang":"en","type":"dataset","venue":"Authorea","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Photoionization; Rabbit (cipher); Ionization; Observable; Metrology; Photon; Physics; Range (aeronautics); Computational physics; Atomic physics; Optics; Chemistry; Materials science; Quantum mechanics; Mathematics; Ion; Statistics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001247001,0.0003877287,0.0005083638,0.0001153316,0.0003656339,0.0003588783,0.0009303193,0.000421653,0.0009974705],"category_scores_gemma":[0.0003121285,0.0003276675,0.00008230635,0.00005549111,0.0003720359,0.0001518773,0.0003017924,0.0004599117,0.0003776913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005290391,"about_ca_system_score_gemma":0.0001205714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002996698,"about_ca_topic_score_gemma":0.0001034424,"domain_scores_codex":[0.9980439,0.0002372536,0.0002710843,0.0006222322,0.0002969893,0.0005285403],"domain_scores_gemma":[0.9979987,0.0001506709,0.000334772,0.001315483,0.00004935572,0.0001510245],"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":[0.00003947952,0.00003796408,0.00000600016,0.00005485416,0.00001192964,0.00003413887,0.00002794135,1.544835e-8,0.03099488,0.001584823,0.9666437,0.0005643071],"study_design_scores_gemma":[0.0001258837,0.0001876757,0.00005296082,0.00007887546,0.00007808142,0.00002326871,0.000007548099,0.000001188695,0.05178146,0.009273343,0.9379996,0.0003900937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009336797,0.001295656,0.0005428577,0.000159349,0.0005752944,0.0003478681,0.9947858,0.000275984,0.001083476],"genre_scores_gemma":[0.0009280308,0.001373243,0.001653657,0.0005084529,0.0004658389,0.00009644865,0.9928725,0.00006062663,0.002041141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02864405,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165660362648094,"score_gpt":0.3152443520265328,"score_spread":0.2986783157617234,"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."}}