{"id":"W6931295173","doi":"10.5281/zenodo.5857013","title":"JuliaData/CSV.jl: v0.10.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Invenia (Canada)","funders":"","keywords":"","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":[0.008489854,0.003525314,0.005015533,0.0128951,0.001403215,0.01632876,0.007418896,0.004932335,0.8199843],"category_scores_gemma":[0.08198637,0.004107933,0.005376833,0.01981126,0.00144814,0.005237841,0.007638742,0.003767489,0.8014714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003474953,"about_ca_system_score_gemma":0.005818771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102249,"about_ca_topic_score_gemma":0.008020947,"domain_scores_codex":[0.992702,0.002124219,0.001128169,0.0009312151,0.002272086,0.0008422834],"domain_scores_gemma":[0.9727159,0.01040711,0.002408613,0.006816864,0.005675841,0.001975707],"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":[0.0002122047,0.00001683284,0.000186106,0.003582403,0.0001884244,0.0000319008,0.00005376244,0.0003115877,0.0001289628,0.002080161,0.9862605,0.00694726],"study_design_scores_gemma":[0.0009985513,0.00005157587,0.001134208,0.002557629,0.0001505738,0.000127246,0.00004224702,0.0005017662,0.0005671098,0.007354147,0.9863939,0.0001211091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001994832,0.0004732809,0.002777988,0.001376751,0.0007057156,0.0004608667,0.9170842,0.03533342,0.04158828],"genre_scores_gemma":[0.006415805,0.002625677,0.01466708,0.002744025,0.0009155753,0.004533512,0.7824491,0.1218131,0.06383626],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8199843,"threshold_uncertainty_score":0.2567706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6061983346812895,"score_gpt":0.4455122889719172,"score_spread":0.1606860457093722,"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."}}