{"id":"W6912981529","doi":"10.5281/zenodo.8122179","title":"Uproot","year":2023,"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":"Interpretation (philosophy); Object (grammar); Subject (documents); Natural (archaeology); Face (sociological concept)","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":[0.002085499,0.003043409,0.001649345,0.002801548,0.002548092,0.008466961,0.005257477,0.00339643,0.6419939],"category_scores_gemma":[0.009627122,0.002835051,0.002355887,0.002363369,0.001134351,0.01179329,0.009015204,0.005026773,0.7169405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765609,"about_ca_system_score_gemma":0.002318972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004778877,"about_ca_topic_score_gemma":0.005403217,"domain_scores_codex":[0.9968653,0.0003400591,0.0002316698,0.0008221397,0.001269624,0.0004711537],"domain_scores_gemma":[0.9944681,0.0006998063,0.0002005297,0.002338837,0.001834619,0.0004579371],"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":[0.0001622427,0.00004639677,0.0004789094,0.0004138176,0.00001928389,0.0001264116,0.0002669596,0.0002293066,0.001383464,0.01126226,0.922573,0.06303784],"study_design_scores_gemma":[0.00002037641,0.00000927669,0.0002419381,0.00006920262,0.000006877474,0.0001012806,0.00005327356,0.0003417206,0.001279516,0.0041954,0.9936548,0.00002627845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001218133,0.0007457584,0.05999162,0.001503211,0.002682843,0.0003158918,0.04810894,0.5789898,0.3064438],"genre_scores_gemma":[0.01160139,0.0008651181,0.03895159,0.002481613,0.0006293922,0.0004037361,0.09332397,0.4393221,0.4124211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6419939,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437215049185651,"score_gpt":0.2613667541013223,"score_spread":0.2169946036094658,"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."}}