{"id":"W7104375079","doi":"10.5281/zenodo.17549989","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01765515,0.0005583687,0.0006314709,0.01960769,0.004719565,0.02037444,0.001461964,0.00247703,0.02129557],"category_scores_gemma":[0.06447905,0.0008129385,0.0007914384,0.02783196,0.00343326,0.04332224,0.0199124,0.003282606,0.008226775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004163345,"about_ca_system_score_gemma":0.007058901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009932423,"about_ca_topic_score_gemma":0.02563301,"domain_scores_codex":[0.9895578,0.003579892,0.001173241,0.0009700122,0.004107507,0.0006114952],"domain_scores_gemma":[0.9349499,0.03713021,0.003105719,0.01432109,0.00801321,0.002479848],"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":[0.0001703672,0.00008999074,0.008003172,0.001106283,0.00005096147,0.001242818,0.0367407,0.0009277146,0.002896143,0.551475,0.2279255,0.1693713],"study_design_scores_gemma":[0.000008005844,0.00001023183,0.001057052,0.0005085967,0.00001539552,0.000274202,0.009101537,0.00105328,0.001065417,0.04911204,0.9377521,0.00004211714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05625341,0.005892199,0.3634606,0.05933026,0.003485134,0.0007036886,0.0591226,0.03058498,0.4211672],"genre_scores_gemma":[0.3425069,0.01024482,0.3608739,0.008072887,0.001778791,0.001158315,0.1549395,0.03096503,0.0894598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9823449,"threshold_uncertainty_score":0.0933705,"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."}}