{"id":"W3003267280","doi":"10.24108/2658-3143-2019-2-4-228-247","title":"THE STATE OF OA: A LARGE-SCALE ANALYSIS OF THE PREVALENCE AND IMPACT OF OPEN ACCESS ARTICLES","year":2020,"lang":"en","type":"article","venue":"Scholarly Research and Information","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Université de Montréal; Université du Québec à Montréal; Impact; OpenAlex","funders":"","keywords":"Citation; License; Scholarly communication; Web of science; Bibliometrics; Open science; World Wide Web; Citation analysis; Scale (ratio); Computer science; Medicine; Library science; Political science; Geography; Internal medicine; Meta-analysis; Statistics; Cartography; Mathematics","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","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch","scholarly_communication"],"category_scores_codex":[0.02898114,0.00005260684,0.0002047379,0.008383295,0.0003327293,0.007890984,0.003420982,0.00002953734,0.00006669597],"category_scores_gemma":[0.03218464,0.00002342681,0.00008567175,0.1166675,0.0004093413,0.01485756,0.003686544,0.0002717831,0.000003712044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002118696,"about_ca_system_score_gemma":0.0002311789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003628582,"about_ca_topic_score_gemma":0.00004618794,"domain_scores_codex":[0.993516,0.0003956179,0.0006707596,0.0001582926,0.0049699,0.000289424],"domain_scores_gemma":[0.9917196,0.002122421,0.0003451752,0.0004376775,0.005164197,0.0002108969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001791968,0.0000360576,0.9017044,0.00004403076,0.00009450265,6.915572e-8,0.002103158,0.00009504877,0.001131388,0.0003355159,0.0008187804,0.09345789],"study_design_scores_gemma":[0.0002366097,0.0002878755,0.9615706,0.000007179151,0.00001074616,1.647619e-7,0.0005942992,0.03224392,0.002172742,0.002348006,0.0005000998,0.00002776967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970328,0.000504686,0.0003275315,0.0009015582,0.00001100262,0.000350954,0.0002074729,0.000001347171,0.0006626279],"genre_scores_gemma":[0.998652,0.001195066,0.00004110877,0.00002410927,0.000002931095,0.00000522956,0.000001547608,0.000001269059,0.00007669345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1082842,"threshold_uncertainty_score":0.9998683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5742008247629874,"score_gpt":0.6164333840370883,"score_spread":0.04223255927410086,"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."}}