{"id":"W1618635184","doi":"10.18452/1272","title":"A Comparison of Social Tagging Designs and User Participation","year":2008,"lang":"en","type":"article","venue":"edoc Publication server (Humboldt University of Berlin)","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Categorization; Computer science; World Wide Web; Resource (disambiguation); Social media; Collaborative filtering; Knowledge management; Data science; Recommender system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04147556,0.0008138511,0.0007096739,0.00366659,0.001999449,0.005916981,0.00110386,0.001380165,0.003890215],"category_scores_gemma":[0.1140381,0.0006929719,0.001113051,0.002249952,0.00233426,0.006156825,0.003874237,0.0008255556,0.0009263213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210283,"about_ca_system_score_gemma":0.002214092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303825,"about_ca_topic_score_gemma":0.002022114,"domain_scores_codex":[0.9490009,0.04056454,0.002454816,0.00181627,0.004921004,0.001242451],"domain_scores_gemma":[0.765495,0.2015019,0.008022455,0.008813683,0.01343427,0.002732837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007701165,0.001724124,0.1503308,0.005111249,0.0003716295,0.0006517916,0.3677774,0.0007652672,0.01207449,0.01234468,0.002775441,0.4383719],"study_design_scores_gemma":[0.001928285,0.02179719,0.3929451,0.00377501,0.001409421,0.002937171,0.399062,0.01123938,0.02166033,0.02206452,0.120222,0.0009596298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514925,0.0009099578,0.02275892,0.0004931526,0.0001759061,0.001963682,0.000270701,0.0003601952,0.02157499],"genre_scores_gemma":[0.9762542,0.0005244725,0.01675375,0.000214792,0.00005100122,0.002735241,0.0002061535,0.0001426153,0.0031178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04147556,"threshold_uncertainty_score":0.2193463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428654432341561,"score_gpt":0.3022118980120965,"score_spread":0.2379253536886809,"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."}}