{"id":"W2048980934","doi":"10.3138/jsp.45.4.02","title":"Open Access in China: A Study of Social Science Journals","year":2014,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"China; Citation; Publishing; Science Citation Index; Social Sciences Citation Index; Bibliometrics; Library science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch","bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.002324817,0.0003812212,0.0007995287,0.01644183,0.002417269,0.003221353,0.0007259169,0.0006695872,0.002405579],"category_scores_gemma":[0.008042,0.0003072125,0.0005882198,0.02927717,0.001311428,0.002808409,0.001744078,0.0003162665,0.0002864898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004206412,"about_ca_system_score_gemma":0.005449495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04443078,"about_ca_topic_score_gemma":0.04316075,"domain_scores_codex":[0.9966035,0.0003512975,0.000692533,0.0003673745,0.00145808,0.0005271943],"domain_scores_gemma":[0.985117,0.002936706,0.00636355,0.0003681284,0.002571431,0.002643161],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006134756,0.00009175321,0.9814382,0.0001434911,0.00007615122,0.000680406,0.008004388,0.00005368515,0.0004788254,0.000382618,0.0003685042,0.008220643],"study_design_scores_gemma":[0.000006786702,0.00005270089,0.9938446,0.00001785941,0.00002119486,0.0001441211,0.004721697,0.0001368609,0.00007063481,0.0001026588,0.0008706725,0.0000102082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978964,0.0004469315,0.00001889438,0.0002631133,0.000006662066,0.00001694482,0.0002543975,0.000003518687,0.001093167],"genre_scores_gemma":[0.9986196,0.0004893849,0.00003785498,0.00006884644,0.0000380333,0.00001625922,0.0003364489,0.000002143627,0.0003914901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992741,"threshold_uncertainty_score":0.08834434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7070312947661989,"score_gpt":0.6487025814534676,"score_spread":0.05832871331273126,"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."}}