{"id":"W2060216470","doi":"10.1353/ils.2011.0008","title":"User, Author and Professional Indexing in Context: An Exploration of Tagging Practices on CiteULike / Le contexte de l'indexation des usagers, des créateurs et des professionnels : une exploration des pratiques d'étiquetage social sur CiteULike","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indexation; Context (archaeology); Search engine indexing; Library science; Humanities; Computer science; Political science; World Wide Web; Art; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002017695,0.0002083766,0.0002388519,0.001280771,0.001444664,0.00186422,0.0004180263,0.0001370584,0.00002906653],"category_scores_gemma":[0.0009949907,0.0001913732,0.00003804789,0.001638283,0.001641102,0.176619,0.00008135125,0.0003259891,0.000001048956],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322402,"about_ca_system_score_gemma":0.006120316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002245406,"about_ca_topic_score_gemma":0.008249163,"domain_scores_codex":[0.9976692,0.0004618642,0.000874133,0.0002021678,0.0003868876,0.0004057506],"domain_scores_gemma":[0.9972448,0.0001853754,0.001432309,0.00009479936,0.000481663,0.0005610434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002134977,0.0001055428,0.1008472,0.0002632519,0.00001630815,0.00001940565,0.6197364,0.0001844845,0.0003804465,0.08526114,0.0002536837,0.1927186],"study_design_scores_gemma":[0.001804441,0.001193324,0.713254,0.002994284,0.0000150624,0.0001300765,0.1688375,0.01525063,0.01400914,0.07753921,0.0043384,0.0006340047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707307,0.000525785,0.02317032,0.002707395,0.0003084369,0.0003138801,0.00001167429,0.00002425969,0.002207601],"genre_scores_gemma":[0.9843518,0.000296656,0.0136138,0.0008486997,0.00003771735,0.00001059058,0.00000919173,0.000009593959,0.0008219472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6124068,"threshold_uncertainty_score":0.9998553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145520685432675,"score_gpt":0.3003112652338652,"score_spread":0.1857591966905977,"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."}}