{"id":"W6931224636","doi":"10.5281/zenodo.4242888","title":"TATA KELOLA DAN PUBLISHING MANAGEMENT OPEN JOURNAL SYSTEM","year":2020,"lang":"id","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Publication; Publishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.003414267,0.000336069,0.0004298742,0.0004265799,0.005263955,0.06448273,0.01777533,0.0001019294,0.003952865],"category_scores_gemma":[0.001067576,0.000354066,0.0001367278,0.002691592,0.0001557243,0.006961529,0.02721542,0.001001755,0.02184188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005028262,"about_ca_system_score_gemma":0.00001942758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002782237,"about_ca_topic_score_gemma":3.607229e-7,"domain_scores_codex":[0.9941371,0.001548439,0.0008200386,0.001213976,0.001433339,0.0008470766],"domain_scores_gemma":[0.9956774,0.00003367881,0.0005763377,0.001502386,0.001198083,0.001012186],"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":[0.00005737806,0.0001426781,0.000003786071,0.000369545,0.0003897556,0.0005472832,0.003430766,0.0001070892,0.0002101577,0.05708865,0.7883258,0.149327],"study_design_scores_gemma":[0.001033773,0.0002529694,0.0002261734,0.0002223668,0.00009857979,0.000491025,0.002722633,0.01839863,0.00005684814,0.00005672643,0.9760603,0.0003799475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000462521,0.0003307059,0.3840784,0.02256405,0.0007041662,0.00141866,0.0003795578,0.001446864,0.5886151],"genre_scores_gemma":[0.9467198,0.0008008106,0.02011497,0.006157254,0.002514268,2.148389e-7,0.005934049,0.006751246,0.01100742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9462572,"threshold_uncertainty_score":0.9998912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07165003432926895,"score_gpt":0.259858932817174,"score_spread":0.1882088984879051,"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."}}