{"id":"W4403063034","doi":"10.5206/cjils-rcsib.v47i2.17714","title":"Ontologies and Research Data","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Research data; Information retrieval; World Wide Web; Data curation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03892101,0.0006667525,0.001383377,0.01649329,0.00578063,0.02252334,0.00327379,0.004687076,0.009622413],"category_scores_gemma":[0.08660994,0.0008878975,0.0009649019,0.03417517,0.02300208,0.0311103,0.01164807,0.00408518,0.002628036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009738449,"about_ca_system_score_gemma":0.01877611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112515,"about_ca_topic_score_gemma":0.007580588,"domain_scores_codex":[0.9568115,0.02427578,0.004640493,0.004425684,0.008828912,0.001017677],"domain_scores_gemma":[0.8862402,0.07785898,0.01012455,0.01379307,0.009554799,0.002428344],"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":[0.00001091662,0.00001117202,0.0008963688,0.0004065653,0.00002164044,0.0001052916,0.003586354,0.000236515,0.00005727874,0.9616613,0.006348399,0.02665834],"study_design_scores_gemma":[0.00001408609,0.000010169,0.0006913224,0.001475439,0.00002477201,0.0002004417,0.00478436,0.0003296726,0.0001046988,0.61453,0.3778028,0.00003226071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01336852,0.06934801,0.30787,0.131833,0.004527961,0.001230906,0.008159274,0.000762146,0.4629003],"genre_scores_gemma":[0.4410912,0.08346197,0.3854529,0.02564644,0.004202463,0.004354733,0.0122188,0.0005522922,0.04301937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9774767,"threshold_uncertainty_score":0.2058365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1821313428945751,"score_gpt":0.3874389982541007,"score_spread":0.2053076553595257,"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."}}