{"id":"W4398194695","doi":"10.5195/jmla.2024.1730","title":"Citations in Wikipedia for understanding research reach","year":2024,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Brock University","funders":"","keywords":"Citation; Altmetrics; Metadata; Library science; Medical library; Institution; Computer science; World Wide Web; Identifier; Sociology; Social science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008215194,0.00003863847,0.00009212974,0.0002565967,0.0003592953,0.0003199492,0.0003222056,0.0001493406,0.0003572094],"category_scores_gemma":[0.01156745,0.00002831414,0.00008447883,0.00156591,0.00008212649,0.0008909969,0.00002571625,0.0005015309,0.000007550034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009397267,"about_ca_system_score_gemma":0.0029137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289338,"about_ca_topic_score_gemma":0.0001273592,"domain_scores_codex":[0.996931,0.0009148987,0.000359605,0.00007454724,0.001530895,0.0001890327],"domain_scores_gemma":[0.9961452,0.003332971,0.0001609368,0.00005779095,0.0001811368,0.0001219379],"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":[0.00001440471,0.00006252452,0.009101587,0.0000145283,0.00002461195,0.000002990205,0.01369559,0.00000834246,0.000008753865,0.5937614,0.381482,0.001823206],"study_design_scores_gemma":[0.000295257,0.00003610512,0.004586392,0.0002588283,0.0000138718,0.000001405391,0.02267478,0.0003869786,0.00001750457,0.3229862,0.6486834,0.00005926507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04129211,0.0008570233,0.002259919,0.8744874,0.01043761,0.0005074136,0.00001545665,0.00005428872,0.07008878],"genre_scores_gemma":[0.9813592,0.0003022272,0.0003552833,0.000674053,0.002738321,0.00001352561,0.000003492785,0.00001024441,0.01454362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9400671,"threshold_uncertainty_score":0.9967585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378004288314243,"score_gpt":0.4691262951288456,"score_spread":0.3313258662974212,"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."}}