{"id":"W2468815196","doi":"10.3138/jsp.47.4.307","title":"An Expanded Approach to Evaluating Open Access Journals","year":2016,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Publication; Documentation; Quality (philosophy); Computer science; Incentive; Process (computing); Process management; World Wide Web; Knowledge management; Business; Political science; Advertising; Law","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":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.1811401,0.001775723,0.002714528,0.0307882,0.005556068,0.02805678,0.006007116,0.004827653,0.01662605],"category_scores_gemma":[0.3751067,0.0007232571,0.001708553,0.01748288,0.008103781,0.02094815,0.01226003,0.005067155,0.004224866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00999269,"about_ca_system_score_gemma":0.01696912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004200969,"about_ca_topic_score_gemma":0.005295431,"domain_scores_codex":[0.6360725,0.1896573,0.03232533,0.009028797,0.1295886,0.003327333],"domain_scores_gemma":[0.4495328,0.1913918,0.0431455,0.03918589,0.2665088,0.01023531],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001009482,0.001104868,0.0294615,0.003033492,0.0004126826,0.001126782,0.02995599,0.004836422,0.007625144,0.3196957,0.01777708,0.5839609],"study_design_scores_gemma":[0.0004214901,0.004126015,0.05845758,0.005679853,0.0009615973,0.003105121,0.02322993,0.0528208,0.01923925,0.4508866,0.3797973,0.0012744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09029432,0.003907675,0.4731741,0.02167358,0.002395207,0.01301541,0.001997788,0.001958662,0.3915832],"genre_scores_gemma":[0.4057741,0.001952263,0.5483446,0.002201693,0.001411305,0.005628311,0.0007538709,0.0002638782,0.03366987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939929,"threshold_uncertainty_score":0.9579717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2969832806914171,"score_gpt":0.502177373625365,"score_spread":0.2051940929339479,"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."}}