{"id":"W6958882236","doi":"10.7281/t1/bmathh/slceeg","title":"16_B5.tar.014","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Set (abstract data type); Telmatology","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"],"consensus_categories":[],"category_scores_codex":[0.0008906306,0.0003643363,0.0004838139,0.0005545815,0.0004014453,0.0002449075,0.003101541,0.0005226187,0.00008238333],"category_scores_gemma":[0.0002042469,0.0004385418,0.00009994637,0.0007295472,0.0001352308,0.0003917841,0.001646365,0.001926537,0.0003141208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008155486,"about_ca_system_score_gemma":0.0003175627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887893,"about_ca_topic_score_gemma":0.000281959,"domain_scores_codex":[0.9967021,0.000362614,0.0002660999,0.0008583004,0.001034794,0.000776078],"domain_scores_gemma":[0.9945731,0.0003554576,0.00004556205,0.004397745,0.000246932,0.000381233],"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":[0.000006613937,0.000042516,0.00001775297,0.0008284784,0.0002175459,0.002806846,0.00001162453,0.0004603764,0.0001867799,0.00001576545,0.9953449,0.00006073683],"study_design_scores_gemma":[0.0002057266,0.00002536412,0.00005163597,0.0003328219,0.0000557954,0.0001091838,0.000116247,0.00221072,0.0001411021,7.747677e-7,0.9963434,0.0004072403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001587471,0.001456026,0.0001352617,0.00002388447,0.001701602,0.0002421888,0.9917872,0.0003855902,0.004109489],"genre_scores_gemma":[0.0007242501,0.001534685,0.0001277762,0.000003158675,0.0008559779,0.000001765315,0.9936776,0.00005371134,0.003021134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003539445,"threshold_uncertainty_score":0.9998066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08721509003486164,"score_gpt":0.2967619778674411,"score_spread":0.2095468878325794,"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."}}