{"id":"W6963498739","doi":"10.22002/d1.1944","title":"ginput v1.0.10: GGG2020 prior profile software","year":2021,"lang":"en","type":"other","venue":"CaltechDATA","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Software; Data file; Code (set theory); Software tool; Source code","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":[0.0002894894,0.0009203976,0.00106287,0.0005123733,0.0001114272,0.0001734209,0.001996318,0.001061914,0.2982453],"category_scores_gemma":[0.001251278,0.0009442253,0.0002543612,0.0009703297,0.0002034638,0.000100958,0.001503616,0.000973793,0.1342185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829919,"about_ca_system_score_gemma":0.0008134123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001894482,"about_ca_topic_score_gemma":0.000360063,"domain_scores_codex":[0.9956352,0.0001774707,0.0005100074,0.001814419,0.0009001782,0.0009627834],"domain_scores_gemma":[0.994498,0.00008835221,0.0005136153,0.004352186,0.0001414836,0.0004064185],"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":[0.00001721165,0.0001143826,0.00003101869,0.000665562,0.0001888369,0.0003657784,0.00001742829,2.894593e-7,0.00047336,0.00006278286,0.9907202,0.007343148],"study_design_scores_gemma":[0.0005942392,0.00003607275,0.00002454703,0.001249725,0.000151104,0.00005090174,0.00001661025,0.00002562122,0.0009239046,0.00003059626,0.9958555,0.001041212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001024284,0.01614684,0.00169272,0.0001975791,0.001470381,0.002329281,0.0423308,0.005272606,0.9305496],"genre_scores_gemma":[0.00000683714,0.0001168636,0.02232427,0.0002057093,0.001619141,0.0002491326,0.02930227,0.004618924,0.9415569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1640269,"threshold_uncertainty_score":0.9993008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388908022818648,"score_gpt":0.2883259691915787,"score_spread":0.2544368889633922,"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."}}