{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002614,0.00235664,0.00143986,0.00429187,0.001174061,0.002570068,0.002991945,0.002306021,0.1943133],"category_scores_gemma":[0.005474345,0.0007866716,0.001332836,0.006684452,0.0005411093,0.00158643,0.00209572,0.001686524,0.2514622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508134,"about_ca_system_score_gemma":0.002674314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03154086,"about_ca_topic_score_gemma":0.04163092,"domain_scores_codex":[0.9987438,0.0001864685,0.000174121,0.0003680508,0.0002676342,0.0002599299],"domain_scores_gemma":[0.9971309,0.0005916162,0.0002147422,0.0008531437,0.0008877605,0.0003217728],"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":[0.00007275978,0.00002325156,0.0002664073,0.0002598618,0.0000109325,0.00001263075,0.00001049216,0.0001097496,0.0001361984,0.000199369,0.9976034,0.001295066],"study_design_scores_gemma":[0.0003796197,0.00004720134,0.005112341,0.0002123405,0.00003113808,0.00007810647,0.0001395327,0.0006211823,0.000960416,0.001263724,0.9911115,0.00004295281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001143347,0.00002244946,0.00005352285,0.00004298697,0.00002415638,0.00001049706,0.9985855,0.0005255444,0.0006209929],"genre_scores_gemma":[0.0003046947,0.00001983655,0.0001486375,0.0000238379,0.000008482521,0.00003321583,0.9986513,0.00009794662,0.0007120005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8056867,"threshold_uncertainty_score":0.6500428,"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."}}