{"id":"W1978774683","doi":"10.1108/00330331111107376","title":"Social search","year":2011,"lang":"en","type":"article","venue":"Program electronic library and information systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Search analytics; Computer science; World Wide Web; Social web; Bookmarking; Search engine; Semantic search; Information retrieval; Data science; Personalized search; Phrase search; Leverage (statistics); Social media; Web search query; 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":[0.006575011,0.0008308522,0.001052922,0.006415792,0.003191292,0.01081121,0.002566667,0.003259856,0.1263299],"category_scores_gemma":[0.03166951,0.0003698226,0.001069185,0.007908372,0.003669267,0.01310729,0.009235962,0.002087689,0.0592269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004106111,"about_ca_system_score_gemma":0.006651357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004663256,"about_ca_topic_score_gemma":0.004053466,"domain_scores_codex":[0.9910741,0.003908491,0.0007118203,0.001322227,0.002249332,0.0007339938],"domain_scores_gemma":[0.9833809,0.007211201,0.001268291,0.003354972,0.003380979,0.00140369],"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":[0.0001483146,0.0001096216,0.005036281,0.002603334,0.0000695843,0.0003334714,0.004910059,0.0004916298,0.0003983603,0.5059177,0.1844112,0.2955705],"study_design_scores_gemma":[0.00003721035,0.00006693992,0.001979922,0.001011081,0.00002607154,0.0005047017,0.003222939,0.0006550173,0.0002047102,0.05610701,0.9361545,0.0000298512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01092931,0.007941644,0.02049514,0.01917281,0.002002882,0.001458115,0.005784001,0.001237985,0.9309781],"genre_scores_gemma":[0.4344289,0.0177984,0.04401837,0.01896076,0.003266609,0.004603865,0.01554474,0.001413742,0.4599645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1263299,"threshold_uncertainty_score":0.4226155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680820987860277,"score_gpt":0.2485414506905075,"score_spread":0.2217332408119048,"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."}}