{"id":"W2068802245","doi":"10.1353/ils.2011.0002","title":"Folksonomies, Social Tagging and Scholarly Articles / Les folksonomies, l'étiquetage social et les articles scientifiques","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Folksonomy; Search engine indexing; Control (management); Computer science; Information retrieval; Thesaurus; Power (physics); World Wide Web; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01269204,0.0006578047,0.0008700117,0.01785601,0.005937525,0.0240134,0.001000613,0.002249371,0.004696921],"category_scores_gemma":[0.0264354,0.0005251932,0.0006541537,0.03109902,0.02514701,0.03005702,0.003225971,0.002292746,0.001082898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00607036,"about_ca_system_score_gemma":0.004184429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210617,"about_ca_topic_score_gemma":0.01292738,"domain_scores_codex":[0.9905664,0.004649526,0.0009153062,0.0007151662,0.002763707,0.0003899785],"domain_scores_gemma":[0.9537153,0.03267741,0.005348381,0.002728305,0.00455274,0.0009777622],"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":[0.00003366745,0.0000243645,0.001543842,0.0003578985,0.00003447765,0.00007706828,0.01165751,0.0002796857,0.0003230955,0.9134369,0.00872722,0.06350429],"study_design_scores_gemma":[0.00001748304,0.00001902918,0.005118561,0.0008365844,0.00003831392,0.000345547,0.01447427,0.001358029,0.0009555962,0.7960322,0.1807168,0.00008755902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06647598,0.1876163,0.2012868,0.09289192,0.005933451,0.0002761843,0.001005197,0.0008080156,0.4437061],"genre_scores_gemma":[0.7229589,0.08582333,0.1047962,0.006113016,0.007368776,0.0004858585,0.0008332917,0.0005346418,0.07108606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759866,"threshold_uncertainty_score":0.0671227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05581622762878354,"score_gpt":0.2301792569598301,"score_spread":0.1743630293310466,"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."}}