{"id":"W4394325221","doi":"10.6084/m9.figshare.19100579.v2","title":"data set.csv","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Set (abstract data type); Computer science; Data set; Artificial intelligence; Programming language","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":[0.00238135,0.001967372,0.001556454,0.003316439,0.0008412488,0.002560944,0.003141917,0.002346469,0.2031716],"category_scores_gemma":[0.01313328,0.0008657793,0.001645926,0.004848004,0.000532516,0.0009605968,0.002216242,0.002133335,0.1238683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137056,"about_ca_system_score_gemma":0.003029237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282573,"about_ca_topic_score_gemma":0.03663582,"domain_scores_codex":[0.9987509,0.0002786742,0.0001997167,0.0003203039,0.0002555919,0.0001947964],"domain_scores_gemma":[0.994547,0.002492497,0.0005140033,0.001002166,0.000998179,0.0004462847],"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":[0.00007119828,0.0000171746,0.0006075282,0.0006673557,0.00003604243,0.00001254242,0.00001939077,0.0002431003,0.000054259,0.0003700608,0.9966111,0.001290317],"study_design_scores_gemma":[0.001004645,0.00004353641,0.007231637,0.0005814744,0.00008698811,0.00007099505,0.0000991116,0.0005099036,0.0002967842,0.00205092,0.9879737,0.00005016025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005859469,0.00001528371,0.00003460359,0.00004962671,0.00001344511,0.00001341473,0.999345,0.000163796,0.0003063763],"genre_scores_gemma":[0.0004707593,0.00002873317,0.0003102354,0.00007432538,0.000009905922,0.0002204981,0.9980462,0.0001445233,0.0006948721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7968284,"threshold_uncertainty_score":0.6796767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459265065836655,"score_gpt":0.3302305198518907,"score_spread":0.1843040132682253,"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."}}