{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01277505,0.0002984173,0.0008420263,0.01573095,0.006778269,0.01420285,0.0008704242,0.001497984,0.002817682],"category_scores_gemma":[0.048542,0.000405533,0.0003311814,0.01865552,0.0080547,0.01631003,0.006507311,0.001051706,0.0005280808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862461,"about_ca_system_score_gemma":0.003460479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007402257,"about_ca_topic_score_gemma":0.01901942,"domain_scores_codex":[0.9869076,0.007372826,0.001172964,0.001184371,0.002614598,0.0007475794],"domain_scores_gemma":[0.8924015,0.08587882,0.009048275,0.003527122,0.007100586,0.002043712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001171636,0.00003969937,0.05758492,0.0004419373,0.00002045822,0.0007001151,0.8867736,0.00003226127,0.00292415,0.007255645,0.0003361769,0.0437739],"study_design_scores_gemma":[0.00001292296,0.0001279178,0.09579775,0.0005501077,0.00005956197,0.001092444,0.8519225,0.0003320152,0.001980176,0.006297937,0.04173127,0.00009542606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648465,0.003619368,0.005327133,0.001551232,0.00006439348,0.00009475281,0.0002639906,0.00005893927,0.02417361],"genre_scores_gemma":[0.9944247,0.00116637,0.002363941,0.0001610578,0.00004864135,0.00005288334,0.0001001521,0.00003758454,0.001644669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9857972,"threshold_uncertainty_score":0.06756175,"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."}}