{"id":"W2090321918","doi":"10.5210/fm.v19i7.4994","title":"Reuse, temporal dynamics, interest sharing, and collaboration in social tagging systems","year":2014,"lang":"en","type":"article","venue":"First Monday","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Metadata; Reuse; World Wide Web; Dynamics (music); Publication; Vocabulary; User-generated content; Information retrieval; Population; Social media","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":[],"consensus_categories":[],"category_scores_codex":[0.000233435,0.0001159476,0.0002099347,0.0001050956,0.0001456711,0.0001588728,0.0002508168,0.00003955484,0.00003814479],"category_scores_gemma":[0.000012904,0.0001222604,0.00003476263,0.0002363701,0.00002945143,0.0001192315,0.0002437706,0.0001230055,0.000005754687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007109215,"about_ca_system_score_gemma":0.00001130302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025401,"about_ca_topic_score_gemma":0.0005780814,"domain_scores_codex":[0.9992438,0.00004184798,0.0002405834,0.0002369321,0.00007326053,0.0001635796],"domain_scores_gemma":[0.999474,0.00002504395,0.0001211421,0.0003051994,0.00004085017,0.00003375114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009703166,0.00005648526,0.905189,0.00003229218,0.00004000371,0.000001011947,0.003390465,0.0002307804,0.00003004705,0.06840196,0.02108978,0.001528461],"study_design_scores_gemma":[0.0005727299,0.00005276249,0.01729751,0.0001677854,0.0000346189,5.222947e-7,0.0005913358,0.6923892,0.00004649642,0.01404896,0.2743689,0.0004292217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891441,0.00003467354,0.007228534,0.0008681123,0.00009511571,0.0001793553,0.00001856308,0.00008269367,0.00234881],"genre_scores_gemma":[0.9987763,0.00000114293,0.0003102932,0.00001230596,0.0003681645,0.00003369051,0.0001311621,0.00001615071,0.0003508402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8878915,"threshold_uncertainty_score":0.4985636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132026203213087,"score_gpt":0.2674594350594761,"score_spread":0.2542568147381674,"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."}}