{"id":"W4292510728","doi":"10.6087/kcse.277","title":"Charting variety, scope, and impact of open access diamond journals in various disciplines and regions: a survey-based observational study","year":2022,"lang":"en","type":"article","venue":"Science Editing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Directory; Library science; Scope (computer science); Publication; Variety (cybernetics); Publishing; Audience measurement; Scopus; Diamond; Diversity (politics); Bibliometrics; Political science; MEDLINE; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.007102573,0.0002289669,0.0006298501,0.01214188,0.0007535456,0.002648233,0.000980614,0.0005522712,0.002563615],"category_scores_gemma":[0.03302785,0.0003402744,0.0005271042,0.0144939,0.0009717344,0.003373171,0.002008648,0.0007099369,0.0009012892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287206,"about_ca_system_score_gemma":0.002003304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007408342,"about_ca_topic_score_gemma":0.009501299,"domain_scores_codex":[0.9932855,0.001650411,0.001643903,0.0008510661,0.002092725,0.0004763915],"domain_scores_gemma":[0.9153932,0.0189649,0.04666634,0.001964309,0.01164896,0.005362319],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007397906,0.00005010086,0.9925869,0.0002426501,0.0000588688,0.00008811308,0.001472494,0.00005394053,0.0001139601,0.0001040354,0.001088641,0.004066333],"study_design_scores_gemma":[0.000006721814,0.000100557,0.9902139,0.0001458062,0.00003182331,0.0004000316,0.00604378,0.0001861354,0.00009310077,0.00008962453,0.002665287,0.00002329936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864157,0.001751426,0.0003870173,0.0003900305,0.00001839565,0.0001314073,0.009085401,0.00002418749,0.001796567],"genre_scores_gemma":[0.9939288,0.001012747,0.0007502295,0.0001114529,0.00003258163,0.0001072498,0.003697784,0.00001496586,0.0003440676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990194,"threshold_uncertainty_score":0.03756249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8758646529958605,"score_gpt":0.6987223672361662,"score_spread":0.1771422857596943,"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."}}