{"id":"W4398726875","doi":"10.7910/dvn/bki1x3/ui0bh1","title":"table_e1.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Table (database); Computer science; Database","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":[0.001425022,0.003627378,0.002467311,0.005255674,0.00141112,0.005008984,0.005085325,0.003530274,0.3556546],"category_scores_gemma":[0.0121333,0.001191823,0.002008869,0.007984938,0.0007883673,0.002900162,0.003379141,0.002509046,0.374514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778737,"about_ca_system_score_gemma":0.002812553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938832,"about_ca_topic_score_gemma":0.0321226,"domain_scores_codex":[0.9986728,0.0002684449,0.0001190204,0.0004808739,0.0002190816,0.0002397707],"domain_scores_gemma":[0.9958797,0.001585166,0.0002756033,0.001045839,0.0007851208,0.0004287027],"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":[0.00003331322,0.000009766851,0.0002047798,0.0005684512,0.00002552302,0.000008650549,0.00001326652,0.0001011632,0.00005031542,0.0003042052,0.9978859,0.0007946602],"study_design_scores_gemma":[0.0003955544,0.00002426732,0.001376553,0.0004587253,0.00004662448,0.0000493695,0.00005958274,0.0003675838,0.0003247706,0.002264225,0.9945913,0.00004138156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004743239,0.00006574868,0.00005029658,0.00007596897,0.00003402309,0.000007492222,0.9982698,0.0006904937,0.0007587543],"genre_scores_gemma":[0.0003569823,0.00008175529,0.0002652681,0.000118248,0.00001852489,0.00007730557,0.9975677,0.0004189659,0.001095293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6443454,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527331280422632,"score_gpt":0.2617973181278255,"score_spread":0.2365240053235992,"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."}}