{"id":"W4398371475","doi":"10.7910/dvn/mv25mz/hbee6x","title":"TUS.tar","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"tar (computing); Computer science; 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":[0.001257136,0.002773185,0.002048636,0.00581799,0.00108816,0.0061013,0.003777159,0.002351347,0.2006361],"category_scores_gemma":[0.008279867,0.0009364898,0.001313423,0.01212619,0.0006303143,0.002956959,0.003213594,0.002370703,0.3631266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857116,"about_ca_system_score_gemma":0.002342921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409775,"about_ca_topic_score_gemma":0.02716812,"domain_scores_codex":[0.9984615,0.0002722015,0.0001649494,0.0004871217,0.0003106245,0.0003035481],"domain_scores_gemma":[0.9970536,0.0005832827,0.000328471,0.001012102,0.0006370198,0.0003854205],"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":[0.00003607175,0.00000976621,0.0003369944,0.0002341438,0.00001298252,0.000007626219,0.00001147107,0.0001015666,0.00002852343,0.0006224336,0.9972383,0.001360075],"study_design_scores_gemma":[0.0001392072,0.00001277949,0.001556422,0.000285609,0.00001387463,0.0000248438,0.00005959382,0.000294924,0.0001557109,0.001930541,0.9955069,0.00001960663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003828315,0.00005033698,0.00003341036,0.0000569143,0.00002407438,0.000003993299,0.9982926,0.0004424848,0.001057803],"genre_scores_gemma":[0.0002837503,0.00006902501,0.0000968938,0.00005147935,0.00001150014,0.00002573627,0.9983732,0.0001298624,0.0009585673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7993639,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578592463379883,"score_gpt":0.2423201565813213,"score_spread":0.2065342319475225,"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."}}