{"id":"W1991981269","doi":"10.1145/1531674.1531688","title":"Personalized retrieval in social bookmarking","year":2009,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bookmarking; Computer science; Ranking (information retrieval); Relevance (law); World Wide Web; Information retrieval; Order (exchange); Selection (genetic algorithm); Learning to rank; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013028,0.00004128751,0.00005581135,0.0000607659,0.00007297561,0.00008037301,0.0001902601,0.00003576183,0.00002663277],"category_scores_gemma":[0.00001685794,0.00003918714,0.00002869676,0.0002716341,0.00000753908,0.0002254584,0.00001828891,0.00007555724,0.00001772707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400675,"about_ca_system_score_gemma":0.00001560395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441032,"about_ca_topic_score_gemma":0.000004581874,"domain_scores_codex":[0.9995231,0.00002683317,0.00007286434,0.0001346341,0.0001270597,0.0001155307],"domain_scores_gemma":[0.9998606,0.00001645898,0.00001736233,0.00007548453,0.00001179985,0.00001827428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000120541,0.0001269327,0.0017736,0.000005793393,0.000007959818,0.00004889305,0.008145981,0.00001274101,0.02107754,0.6905536,0.008946625,0.2691798],"study_design_scores_gemma":[0.005465412,0.0007439375,0.4406745,0.00005985103,0.00001059613,0.00008396675,0.0002528305,0.1449174,0.02701689,0.2890996,0.0902877,0.001387346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3370376,0.0001516131,0.465711,0.01328118,0.0009474735,0.0001957517,2.554704e-7,0.0007199504,0.1819552],"genre_scores_gemma":[0.9948368,0.000001584257,0.003351421,0.0009143059,0.000125978,2.842505e-7,1.746226e-7,0.000001287123,0.0007681364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6577992,"threshold_uncertainty_score":0.1598005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147225152857814,"score_gpt":0.2623921892942219,"score_spread":0.2409199377656437,"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."}}