{"id":"W4399570179","doi":"10.32614/cran.package.igcop","title":"igcop: Computational Tools for the IG and IGL Copula Families","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Copula (linguistics); Computer science; Econometrics; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003884262,0.0002569871,0.0003413711,0.00005773504,0.0003288712,0.0014586,0.001231617,0.0001516044,0.00001917351],"category_scores_gemma":[0.0001428806,0.0001753556,0.0001176627,0.000218476,0.00006684265,0.0001809929,0.0005289144,0.0001927472,0.00003364707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229275,"about_ca_system_score_gemma":0.0002016643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704366,"about_ca_topic_score_gemma":0.0000589122,"domain_scores_codex":[0.9984123,0.00008790245,0.0003465159,0.0005388896,0.0003407504,0.0002736021],"domain_scores_gemma":[0.9968759,0.002000474,0.0001622611,0.0007061873,0.0001854582,0.00006973383],"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":[0.000001832668,0.00001948157,0.000002107613,0.0001011085,0.00006252643,0.000006550229,0.00002503813,0.002250974,1.669196e-7,0.005752731,0.9877843,0.003993233],"study_design_scores_gemma":[0.0002284885,0.00003429427,0.00007336971,0.00006604579,0.00002146319,0.0000592971,0.0000454232,0.04189751,5.438977e-7,0.0008524043,0.9564906,0.0002305215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000024883,0.0006625252,0.4362833,0.0004380549,0.0008245232,0.0002561607,0.5614052,0.00004947636,0.0000782488],"genre_scores_gemma":[0.0002580934,0.00009973924,0.01037371,0.0008662333,0.0003224016,0.00005567386,0.9876903,0.000007683917,0.0003261115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4262852,"threshold_uncertainty_score":0.999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347207794777666,"score_gpt":0.2748477669832623,"score_spread":0.2413756890354856,"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."}}