{"id":"W4313593486","doi":"10.1016/j.jobab.2023.01.001","title":"Erratum regarding previously published articles","year":2023,"lang":"en","type":"erratum","venue":"Journal of Bioresources and Bioproducts","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003010949,0.001874045,0.001977391,0.005932616,0.004738433,0.006900697,0.0028809,0.008871959,0.1302149],"category_scores_gemma":[0.02862037,0.001014006,0.002325417,0.002744009,0.001313439,0.002359567,0.001799132,0.008883997,0.1010133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004848745,"about_ca_system_score_gemma":0.005780528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0171739,"about_ca_topic_score_gemma":0.02738306,"domain_scores_codex":[0.9950724,0.0004132582,0.0005682483,0.0003848519,0.003144714,0.0004165777],"domain_scores_gemma":[0.981204,0.004888684,0.0008344919,0.001003882,0.01084724,0.001221774],"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":[0.00002696021,0.00001235016,0.00002426314,0.0000474021,0.000004229285,0.0001338909,0.000005573634,0.00001976485,0.00002809328,0.0002641206,0.9958567,0.003576727],"study_design_scores_gemma":[0.00003478213,0.00002482448,0.0005116196,0.0003302738,0.00002676983,0.0001737358,0.00004696378,0.0001281897,0.0002162987,0.001121227,0.9973611,0.0000241798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001851983,0.001318717,0.0002559242,0.03516228,0.9342737,0.00006994489,0.001129569,0.0002506787,0.02735393],"genre_scores_gemma":[0.00365121,0.005206909,0.001463736,0.08699767,0.2421839,0.0002098244,0.002916641,0.0008928268,0.6564773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1302149,"threshold_uncertainty_score":0.4356121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821882458684552,"score_gpt":0.211850775092603,"score_spread":0.1736319505057575,"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."}}