{"id":"W6912016103","doi":"10.5281/zenodo.13900490","title":"Towards an Open Research Information Ecosystem: Synergies with Open Software and Open Metadata Providers","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"OpenAlex","funders":"","keywords":"Metadata; Context (archaeology); Open data; Open science; Open research; Institution; Visualization; Software","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.1114875,0.001217723,0.001445218,0.01537973,0.005192692,0.03629185,0.007159167,0.007155494,0.009471575],"category_scores_gemma":[0.1307923,0.002085592,0.002524243,0.01648882,0.01109264,0.0965983,0.06603441,0.01252524,0.006106866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003577177,"about_ca_system_score_gemma":0.01711522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956458,"about_ca_topic_score_gemma":0.002392486,"domain_scores_codex":[0.9431193,0.02968977,0.005597973,0.004410985,0.01487155,0.002310376],"domain_scores_gemma":[0.7438371,0.07390211,0.01059475,0.119364,0.02485218,0.02744981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003041341,0.000480742,0.008527854,0.001026125,0.0002028445,0.0008258704,0.01052751,0.001966938,0.003849602,0.6319217,0.0573797,0.2829868],"study_design_scores_gemma":[0.0000886837,0.0001241538,0.001636394,0.001058437,0.00007532391,0.0005135844,0.004389986,0.006082776,0.001619818,0.4862197,0.4980231,0.0001679387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01833629,0.003612915,0.7662503,0.1165808,0.002515043,0.000971314,0.00157888,0.01615083,0.07400364],"genre_scores_gemma":[0.09762521,0.005129098,0.8514408,0.01037265,0.003485556,0.0009267832,0.007385385,0.004944062,0.01869035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928408,"threshold_uncertainty_score":0.5896093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361266243724789,"score_gpt":0.3534015173017728,"score_spread":0.2172748929292939,"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."}}