{"id":"W7104422511","doi":"10.5281/zenodo.17549990","title":"Exploring DataCite Metadata in OpenAlex","year":2025,"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":"Discoverability; Metadata; Visibility; Presentation (obstetrics); Index (typography); Work (physics); Linked data","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","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.002480619,0.0001205314,0.000136395,0.0008033087,0.001024109,0.02783082,0.007420557,0.0000232452,0.0003221035],"category_scores_gemma":[0.002030122,0.0001280929,0.00002668733,0.002181892,0.00007737305,0.1118872,0.01181116,0.0003305099,0.001020026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382397,"about_ca_system_score_gemma":0.000007387234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006084797,"about_ca_topic_score_gemma":0.000001787322,"domain_scores_codex":[0.9975324,0.0005644126,0.0002759367,0.000695857,0.0004845958,0.0004468044],"domain_scores_gemma":[0.9978114,0.00007765677,0.00007536244,0.001703603,0.0002212513,0.0001107633],"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":[0.00002560321,0.0001276777,0.000008863831,0.00007342207,0.00004704356,0.00005779475,0.0001999706,0.0000649649,0.0009377718,0.8338498,0.0313017,0.1333054],"study_design_scores_gemma":[0.0003499711,0.00004399258,0.001622095,0.00004363652,0.000004546037,0.00001018754,0.0001376998,0.001124062,0.0003421171,0.000372727,0.9958276,0.0001213943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003216869,0.0001190293,0.8386574,0.004665009,0.0001722457,0.0005643099,0.00008650978,0.0006580586,0.1518606],"genre_scores_gemma":[0.8399534,0.008317504,0.03724805,0.002336182,0.0002875006,0.000001715701,0.006290545,0.002371632,0.1031935],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9645259,"threshold_uncertainty_score":0.9997578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2936674550964155,"score_gpt":0.3370183293490314,"score_spread":0.04335087425261591,"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."}}