{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002231635,0.00009917911,0.0001076241,0.0001651151,0.0002346235,0.000667847,0.0003873141,0.00007186468,0.00003118738],"category_scores_gemma":[0.000002431074,0.00008157572,0.00003673343,0.0004668662,0.00004027689,0.03016671,0.0001480363,0.0001882643,0.0001136915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301936,"about_ca_system_score_gemma":0.0001370337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000525598,"about_ca_topic_score_gemma":1.972389e-8,"domain_scores_codex":[0.9988546,0.00005620468,0.0003309077,0.00008982499,0.0002571104,0.0004113977],"domain_scores_gemma":[0.9996291,0.00001078682,0.00008405551,0.0001429627,0.0000411512,0.00009195301],"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":[0.00001079974,0.0000208971,0.0002984004,0.0000414206,0.000007316121,3.427508e-7,0.003074351,4.175133e-7,0.000001546248,0.8860517,0.0002115967,0.1102812],"study_design_scores_gemma":[0.001075728,0.001114222,0.00833735,0.00002333973,0.000008117059,0.0001171361,0.0009826029,0.05982696,0.002250313,0.00202753,0.9236892,0.0005474749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1231689,0.001013633,0.1194579,0.002341934,0.0008936631,0.005351935,0.00001981516,0.005651714,0.7421006],"genre_scores_gemma":[0.9978916,0.00008087126,0.001254278,0.000270126,0.00004547354,0.0001097573,0.00003229546,0.000004076928,0.000311545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9234776,"threshold_uncertainty_score":0.9833978,"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."}}