{"id":"W4252252173","doi":"10.1080/00085006.2017.1325181","title":"Erratum","year":2017,"lang":"en","type":"erratum","venue":"Canadian Slavonic Papers","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0004499423,0.001133159,0.001107346,0.001177602,0.001297907,0.0005996914,0.003036476,0.002316867,0.00513524],"category_scores_gemma":[0.0007908967,0.001277525,0.0005796988,0.0003014723,0.0006626362,0.0002362942,0.0001146716,0.003533465,0.04200304],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005832151,"about_ca_system_score_gemma":0.03151136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4332797,"about_ca_topic_score_gemma":0.9760657,"domain_scores_codex":[0.9944503,0.0001385338,0.0005008822,0.001432304,0.0007510365,0.002726921],"domain_scores_gemma":[0.9918221,0.00003502402,0.0005873397,0.003998714,0.0001838204,0.003372983],"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":[0.000004697473,0.000006642913,0.00003148083,0.00005855763,0.0002721077,0.001052064,0.0001238071,9.04638e-7,0.00004412774,0.0005356339,0.9953328,0.002537178],"study_design_scores_gemma":[0.0003615418,0.00003624893,0.001387963,0.0003971328,0.0002261131,0.00006901392,0.00007334875,0.00001381991,0.000001970932,0.0001850601,0.9958134,0.00143438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001487028,0.006316578,4.104926e-8,0.001094353,0.08417759,0.0004827328,0.00310012,0.0002593713,0.9045544],"genre_scores_gemma":[0.006028359,0.0004420464,0.00002098737,0.001515554,0.004475349,0.00009648222,0.00373173,0.0008177244,0.9828718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.542786,"threshold_uncertainty_score":0.9989783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844536807453942,"score_gpt":0.249070693304981,"score_spread":0.2306253252304416,"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."}}