{"id":"W3168775635","doi":"10.3390/publications9020025","title":"Open Data Policies among Library and Information Science Journals","year":2021,"lang":"en","type":"article","venue":"Publications","topic":"Research Data Management Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Open data; Publishing; Transparency (behavior); Open science; Scholarly communication; Order (exchange); Public relations; Information policy; Data publishing; Political science; Computer science; World Wide Web; Business; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2263954,0.0004125147,0.001139685,0.0168442,0.01216076,0.05189878,0.004043247,0.007338976,0.01170901],"category_scores_gemma":[0.5240392,0.001415486,0.00081934,0.03518141,0.01377741,0.03035267,0.01297156,0.006573211,0.006132149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348905,"about_ca_system_score_gemma":0.05052947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00762473,"about_ca_topic_score_gemma":0.00511845,"domain_scores_codex":[0.7176967,0.1135134,0.05600701,0.0183414,0.08374912,0.01069232],"domain_scores_gemma":[0.1698743,0.5145553,0.1082947,0.07688849,0.09327645,0.03711074],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004591598,0.0003272669,0.097191,0.00228655,0.0001667022,0.000802646,0.06564474,0.0009046028,0.003619566,0.477125,0.09915534,0.2523174],"study_design_scores_gemma":[0.0000922203,0.0001154037,0.03677588,0.002310778,0.00007113894,0.000657913,0.02725432,0.0008361438,0.003145912,0.07074181,0.8576669,0.0003316616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1811491,0.03195896,0.03586005,0.2785146,0.005175361,0.001555276,0.004092077,0.001962268,0.4597324],"genre_scores_gemma":[0.805569,0.01392567,0.03691373,0.0776129,0.00498484,0.001521874,0.00288453,0.00158718,0.05500036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959568,"threshold_uncertainty_score":0.9539922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281952073707711,"score_gpt":0.4289937086427221,"score_spread":0.200798501271951,"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."}}