{"id":"W6931660073","doi":"10.5281/zenodo.7443523","title":"Uproot","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Documentation; Node (physics); Context (archaeology); Compensation (psychology); Work (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":[0.002301642,0.002726008,0.001309093,0.002752151,0.002436059,0.007415066,0.004389483,0.002605498,0.5467588],"category_scores_gemma":[0.009891394,0.002263381,0.00201478,0.002161147,0.0009306117,0.008975719,0.008105675,0.004382062,0.6433189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784247,"about_ca_system_score_gemma":0.002372559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004289715,"about_ca_topic_score_gemma":0.005646873,"domain_scores_codex":[0.997234,0.0003007583,0.0001970155,0.0006937722,0.001191552,0.000382872],"domain_scores_gemma":[0.9937747,0.0006839785,0.0002183367,0.002766553,0.001980608,0.0005757911],"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":[0.0001091283,0.00003621698,0.0003438887,0.0002669023,0.00001458728,0.00005330837,0.0001459082,0.0001569697,0.0009069468,0.005815475,0.9513302,0.0408205],"study_design_scores_gemma":[0.00002168998,0.000007711505,0.0002337458,0.00005581931,0.000006886874,0.00006298916,0.00004657708,0.0003188459,0.001277718,0.003108057,0.9948383,0.00002160873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001234463,0.0005181375,0.05006257,0.001410613,0.002025429,0.0003564953,0.05886284,0.6559784,0.2295511],"genre_scores_gemma":[0.01102482,0.0007371402,0.04061712,0.002179415,0.000491292,0.0004902502,0.1303585,0.4657598,0.3483417],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5467588,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081155008300676,"score_gpt":0.2809887434170875,"score_spread":0.2201771933340807,"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."}}