{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.001212319,0.00004448464,0.00005110928,0.000405562,0.0004835385,0.05345097,0.01077956,0.00001211585,0.00005109958],"category_scores_gemma":[0.002980056,0.00004172433,0.000005110696,0.002876793,0.0001634051,0.7018514,0.02682144,0.00009894859,0.00002206911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008640257,"about_ca_system_score_gemma":0.0005372097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003954042,"about_ca_topic_score_gemma":0.000006796471,"domain_scores_codex":[0.9988783,0.00006249425,0.0001730174,0.000291473,0.0003982098,0.0001964836],"domain_scores_gemma":[0.9969891,0.0001708197,0.0001298949,0.002381216,0.0001722715,0.0001567497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.549461e-7,0.00001948925,0.01342554,0.000004211408,0.000005431194,3.353876e-7,0.00007773008,0.000001422703,0.00004473048,0.9614393,0.01240734,0.0125743],"study_design_scores_gemma":[0.00004957125,0.000002709092,0.4023646,0.000004922403,0.000001663125,0.000005939831,0.00007491781,0.00555531,0.0001291774,0.0009389088,0.590827,0.00004525569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005134585,0.0002609433,0.1910843,0.4167513,0.0001182089,0.0004520957,0.000112066,0.0002094139,0.3858772],"genre_scores_gemma":[0.5396617,0.01359875,0.4122275,0.01367562,0.0002260499,0.0002468502,0.001865583,0.00002195962,0.01847592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9605004,"threshold_uncertainty_score":0.9945726,"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."}}