{"id":"W6931327791","doi":"10.5281/zenodo.7130677","title":"Uproot","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Python (programming language); Drop (telecommunication); Context (archaeology)","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004907462,0.0001827353,0.0002064799,0.0002989616,0.001704407,0.002232299,0.003476677,0.0001627748,0.01378379],"category_scores_gemma":[0.0001604948,0.0001818137,0.00007707049,0.0001807985,0.00008918509,0.0001938044,0.001769346,0.0002865375,0.01975054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008123978,"about_ca_system_score_gemma":0.000003594825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005384045,"about_ca_topic_score_gemma":0.000001950666,"domain_scores_codex":[0.9983946,0.000234395,0.0001688275,0.0005415223,0.0003305072,0.0003301296],"domain_scores_gemma":[0.9980221,0.000008489978,0.0002592291,0.001348107,0.0002250527,0.0001369562],"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":[0.000002062101,0.00002050527,8.291781e-8,0.00003359048,0.00002993641,0.00001288133,0.0001236151,0.0000028466,0.00002006607,0.01716248,0.8938026,0.0887893],"study_design_scores_gemma":[0.0001738392,0.00007678648,0.00000555444,0.0001452479,0.00000423851,0.0001114978,0.0000101865,0.0009524975,0.0000110618,0.0001194822,0.9981861,0.0002034967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001174906,0.0002024517,0.1089376,0.0002590638,0.0007717366,0.0002815314,0.00004766431,0.001809246,0.8876895],"genre_scores_gemma":[0.004097404,0.0001385919,0.0007559797,0.0001319701,0.001170566,4.659367e-8,0.0004181787,0.00617654,0.9871107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1081816,"threshold_uncertainty_score":0.9995952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658660119006137,"score_gpt":0.2482379296780658,"score_spread":0.2116513284880044,"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."}}