{"id":"W2589049976","doi":"10.3390/data2010011","title":"Erratum: Morrison, H., et al. Open Access Article Processing Charges (OA APC) Longitudinal Study 2015 Preliminary Dataset","year":2017,"lang":"en","type":"erratum","venue":"Data","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Data science","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","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.002346015,0.0005789468,0.0007541789,0.0001843238,0.0007206601,0.01198573,0.05146147,0.000229739,0.00005403174],"category_scores_gemma":[0.0004059694,0.0005397542,0.00003860095,0.000265024,0.00009116239,0.01554687,0.06528537,0.001396598,0.0001569007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006402802,"about_ca_system_score_gemma":0.001034275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651545,"about_ca_topic_score_gemma":0.0007640398,"domain_scores_codex":[0.9944531,0.0002531448,0.0006811909,0.00285952,0.001012204,0.0007408942],"domain_scores_gemma":[0.985328,0.00005788483,0.0008217423,0.01335451,0.0001781754,0.0002597213],"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":[0.00001959398,0.000401766,0.001190379,0.00009072987,0.00006193136,0.0002272057,0.0002431297,0.00001365184,0.000001397433,0.00004454789,0.9867883,0.01091734],"study_design_scores_gemma":[0.0005709811,0.0001587975,0.006518514,0.0003754393,0.00009800305,0.00004619193,0.0000596369,0.1580632,0.000003153769,0.0003304369,0.833011,0.0007646548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.0007717853,0.02262883,0.620042,0.09850945,0.101064,0.01448072,0.1110886,0.001838032,0.02957669],"genre_scores_gemma":[0.04964396,0.002287939,0.1304263,0.02732176,0.009680905,0.001622329,0.6287104,0.0009076715,0.1493987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5176219,"threshold_uncertainty_score":0.9997054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.276747369861456,"score_gpt":0.4640049221509289,"score_spread":0.1872575522894729,"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."}}