{"id":"W4393602075","doi":"10.5281/zenodo.3676901","title":"ePSproc: xef2 wavefn test run, orb 22 ioinzation (Iodine 4d, E1G/PG), 1-60eV","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Orb (optics); Test (biology); Computer science; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002238351,0.000445062,0.000402054,0.00006305762,0.0003121231,0.0003190543,0.0006501811,0.0001577577,0.2358246],"category_scores_gemma":[0.00006783361,0.0004596336,0.0002245229,0.0003776741,0.00001570365,0.0001347548,0.0003481075,0.0005915252,0.0407631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000370484,"about_ca_system_score_gemma":0.0001878041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007686247,"about_ca_topic_score_gemma":0.000005437349,"domain_scores_codex":[0.9983343,0.00002022881,0.0003610953,0.0006348715,0.0002920176,0.000357496],"domain_scores_gemma":[0.998375,0.0001191923,0.0003720132,0.0007598681,0.0001659853,0.0002079687],"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":[0.000002501007,0.0001761626,0.000005045587,0.0001458382,0.00005050612,0.000002463495,0.00001083432,0.000009029179,0.00003364261,0.0002248838,0.9975463,0.001792778],"study_design_scores_gemma":[0.0002714044,0.00004123792,0.00006275115,0.0004474323,0.00006091569,5.953417e-7,0.00001798255,0.00017245,0.0001496079,0.0005579923,0.9977247,0.0004929054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003027073,0.00002455048,0.000008979537,0.000239854,0.00008215674,0.0005283337,0.9969634,0.00007516143,0.002074494],"genre_scores_gemma":[0.000674465,0.000003225984,0.00006828616,0.0002971676,0.00254187,0.0005488716,0.9954429,0.00007425669,0.0003489123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1950615,"threshold_uncertainty_score":0.9997855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216076267814695,"score_gpt":0.2511133393275014,"score_spread":0.2295057125460319,"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."}}