{"id":"W4398841828","doi":"10.7910/dvn/v1rjpf/5jdxna","title":"blc20150413_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Mathematics","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":[0.0004949685,0.001051523,0.00106843,0.0004602833,0.000203962,0.0003239128,0.002645561,0.0007280348,0.7639657],"category_scores_gemma":[0.001119322,0.001116409,0.0003571482,0.000689036,0.0003069513,0.0006646528,0.002051775,0.001526736,0.9996083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571513,"about_ca_system_score_gemma":0.0005365881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000728428,"about_ca_topic_score_gemma":0.0003598621,"domain_scores_codex":[0.9950136,0.000314102,0.0007987914,0.001568964,0.001304158,0.001000363],"domain_scores_gemma":[0.9944488,0.0001408027,0.0006408481,0.00378895,0.0001641293,0.0008164675],"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":[0.0001838297,0.0001639448,0.00000222868,0.0002678006,0.0003181963,0.001217207,0.00002249797,0.000003829644,0.0001031179,0.0000305675,0.9976081,0.00007872092],"study_design_scores_gemma":[0.0010603,0.00009430247,0.00001216183,0.0001386069,0.0007065146,0.00007022131,0.00005283092,0.00002060882,0.00004342507,0.00002089251,0.9966092,0.00117093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001607607,1.353813e-7,0.00001101463,0.000002479277,0.001428051,0.0006992762,0.9965991,0.000523847,0.0007344725],"genre_scores_gemma":[0.000001253144,0.0002199282,0.0004505901,0.001451046,0.001389437,0.00007759073,0.9956244,0.00026528,0.0005205169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2356425,"threshold_uncertainty_score":0.9991286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601039444890286,"score_gpt":0.256910890030131,"score_spread":0.2309004955812281,"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."}}