{"id":"W2366543387","doi":"","title":"Opportunities and challenges in digital publishing of academic journal","year":2015,"lang":"en","type":"article","venue":"Bianji xuebao","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Publishing; Electronic publishing; China; Library science; Political science; Business; Computer science; World Wide Web; The Internet; Law","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":["metaresearch","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01140378,0.0001268915,0.0003532602,0.0009123302,0.00006258151,0.00383955,0.001898295,0.0002734695,0.00004999845],"category_scores_gemma":[0.02837712,0.0000925869,0.00004817236,0.0006094546,0.000173841,0.01769045,0.00051837,0.0008708322,0.00001425065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004377882,"about_ca_system_score_gemma":0.0003620686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003465962,"about_ca_topic_score_gemma":0.00001867559,"domain_scores_codex":[0.9967574,0.0001565717,0.0009051498,0.000313979,0.001562607,0.0003042619],"domain_scores_gemma":[0.9974266,0.0009211909,0.0004936129,0.0002722541,0.0004823026,0.0004040207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000646048,0.00003382352,0.08247994,0.00001152491,0.00001411229,0.00005151129,0.006780919,0.00002339859,0.00001120791,0.02617799,0.1100995,0.7742515],"study_design_scores_gemma":[0.001702658,0.0001151209,0.03099172,0.0002190133,0.000009233403,0.0004301661,0.08496926,0.000607635,0.00006451922,0.2166431,0.6638554,0.0003921836],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8155414,0.02173493,0.0001295543,0.04777464,0.001000019,0.0001169123,0.00002936156,0.00003202611,0.1136412],"genre_scores_gemma":[0.9930276,0.003500764,0.0001151077,0.0002088994,0.0003235646,0.000001913933,0.00000217106,0.00001038886,0.002809638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7738593,"threshold_uncertainty_score":0.9971946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5644002075399884,"score_gpt":0.4166241631547312,"score_spread":0.1477760443852572,"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."}}