{"id":"W1989165310","doi":"10.1109/hicss.2012.136","title":"Building Support for Web Information Gathering Tasks","year":2012,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; World Wide Web; Context (archaeology); Web application; Order (exchange); Information needs; Human–computer interaction","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":[0.004465613,0.0009043925,0.0005381933,0.001758603,0.001508072,0.002226964,0.002035946,0.001362997,0.00315497],"category_scores_gemma":[0.05408829,0.0007470089,0.0004753135,0.0007984682,0.000552933,0.003679704,0.002428956,0.001051017,0.0015614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091166,"about_ca_system_score_gemma":0.001204701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922865,"about_ca_topic_score_gemma":0.002024475,"domain_scores_codex":[0.9970847,0.001314026,0.0002522238,0.0003562316,0.0006097918,0.000383063],"domain_scores_gemma":[0.9436498,0.04117156,0.00373417,0.005838148,0.003158572,0.002447812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001146386,0.003135705,0.147127,0.001696587,0.0001065115,0.003067627,0.1215245,0.002789741,0.06892207,0.001440061,0.0065004,0.6425435],"study_design_scores_gemma":[0.0006074193,0.006730075,0.5475243,0.001464472,0.0005770659,0.007118281,0.1586521,0.06840834,0.06281682,0.01027968,0.1351582,0.0006633771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680159,0.0001520232,0.02198703,0.0003569824,0.00001070518,0.0004173804,0.0001069619,0.002090359,0.006862646],"genre_scores_gemma":[0.9526892,0.0001146347,0.04526468,0.0000581579,0.00001529712,0.00016198,0.0003024315,0.0001241298,0.001269332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004465613,"threshold_uncertainty_score":0.02361667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678204540918851,"score_gpt":0.2929568763273501,"score_spread":0.2661748309181616,"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."}}