{"id":"W2112518607","doi":"10.1145/1595836.1595838","title":"Towards efficient document content sharing in social networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Ranking (information retrieval); World Wide Web; Reuse; Annotation; Information retrieval; Context (archaeology); Architecture; Social network (sociolinguistics); Focus (optics); Digital library; Social media; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006599665,0.001152078,0.002337827,0.005330974,0.00276362,0.00447549,0.002659583,0.002059372,0.001691258],"category_scores_gemma":[0.02054636,0.0009206153,0.001196559,0.006074611,0.00150821,0.008061126,0.005058203,0.001349403,0.00134392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904647,"about_ca_system_score_gemma":0.002693572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00507017,"about_ca_topic_score_gemma":0.006138563,"domain_scores_codex":[0.9923609,0.003402114,0.0004729965,0.0009441097,0.002321926,0.00049794],"domain_scores_gemma":[0.9869201,0.005379674,0.001105803,0.003803249,0.002271313,0.000519749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005841096,0.0005417836,0.006151295,0.0004135678,0.0001838,0.0002229972,0.00192558,0.1225367,0.02149469,0.08458766,0.01014379,0.751214],"study_design_scores_gemma":[0.00009052004,0.0001398826,0.001169357,0.00004057111,0.00007180645,0.0001636204,0.0008352058,0.8678364,0.01680623,0.09924283,0.01354824,0.00005538236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06359341,0.0004560344,0.9290783,0.0005675784,0.00003745369,0.0004484909,0.0002945865,0.00242677,0.003097301],"genre_scores_gemma":[0.2980917,0.0003712374,0.6951088,0.00008994791,0.00007260651,0.000437647,0.0008835394,0.0002853886,0.004659148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006599665,"threshold_uncertainty_score":0.03490275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603403391786326,"score_gpt":0.2723809499562019,"score_spread":0.2363469160383386,"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."}}