{"id":"W2154920863","doi":"10.1002/meet.14504901078","title":"Crossing the divide: Putting information seeking research and theory into computer science practice to make information search systems and services more effective for the user","year":2012,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"United Way; Social Sciences and Humanities Research Council of Canada; University of Washington; Microsoft Research; Bill and Melinda Gates Foundation; National Science Foundation","keywords":"Information seeking; Operationalization; Computer science; Information system; Information behavior; Dilemma; Information science; Personal information management; Information architecture; Knowledge management; Service (business); Group information management; World Wide Web; Information seeking behavior; Moderation; User Research; Information needs; Management information systems; Human–computer interaction; Information retrieval; User experience design; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06649522,0.0007092752,0.001210797,0.005400316,0.01323519,0.01831961,0.001969599,0.009069275,0.007597117],"category_scores_gemma":[0.06566474,0.0008318468,0.000869225,0.00303315,0.02424183,0.03248214,0.01689153,0.01510681,0.001277781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005612324,"about_ca_system_score_gemma":0.01195578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169667,"about_ca_topic_score_gemma":0.0020773,"domain_scores_codex":[0.9595003,0.0331265,0.0009468536,0.001569363,0.002899716,0.001957301],"domain_scores_gemma":[0.8988076,0.08463706,0.002395343,0.003389216,0.005970505,0.004800264],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001968364,0.000663161,0.004743465,0.0007928378,0.00005309491,0.0002940557,0.2225367,0.000685825,0.001518269,0.5299648,0.09722774,0.1413232],"study_design_scores_gemma":[0.0001755997,0.0003742239,0.002811085,0.002480914,0.00005446241,0.0001396733,0.1446292,0.003454843,0.001831605,0.4446391,0.3992549,0.0001544628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02059025,0.004440419,0.02983618,0.9143164,0.002478771,0.0002505741,0.00002403195,0.00009540827,0.02796795],"genre_scores_gemma":[0.7385609,0.01203755,0.06586466,0.1631428,0.003453618,0.002339672,0.00006796443,0.0004149647,0.01411792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9335048,"threshold_uncertainty_score":0.3516645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434790189474026,"score_gpt":0.3707418434962487,"score_spread":0.3463939416015085,"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."}}