{"id":"W6967399669","doi":"10.5281/zenodo.10573980","title":"Uproot","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Alias; Documentation; Path (computing); State (computer science); Transient (computer programming); Term (time)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001630873,0.002729691,0.001481024,0.002708148,0.00243098,0.008290128,0.004306179,0.00284573,0.630511],"category_scores_gemma":[0.007304005,0.002162812,0.002107804,0.00244867,0.0009058297,0.01181639,0.007849061,0.004152592,0.6847234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567216,"about_ca_system_score_gemma":0.00190849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115638,"about_ca_topic_score_gemma":0.00503437,"domain_scores_codex":[0.9974285,0.0002480491,0.000192915,0.0007189401,0.001001295,0.0004103637],"domain_scores_gemma":[0.9960082,0.0005013473,0.0001579614,0.001692131,0.00126816,0.0003722206],"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":[0.0001850075,0.00005469835,0.0005539785,0.0003762359,0.00002076642,0.0001582366,0.0002586698,0.0002145398,0.001533441,0.0130878,0.9069415,0.07661508],"study_design_scores_gemma":[0.00002098813,0.00001071727,0.0002916835,0.00007026603,0.000007313381,0.0001326567,0.00006335389,0.0003435367,0.001326003,0.004646605,0.9930612,0.00002565291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001720974,0.0008196259,0.05936829,0.001724309,0.002619189,0.0003193084,0.05705495,0.4837172,0.3926561],"genre_scores_gemma":[0.01651599,0.001010483,0.04152626,0.002584744,0.0007261303,0.0003779852,0.1125733,0.3188632,0.5058219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.369489,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672635050223251,"score_gpt":0.2617782244527743,"score_spread":0.2250518739505418,"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."}}