{"id":"W1995279738","doi":"10.1002/meet.1450390105","title":"Collaborative information synthesis","year":2002,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Irvine","keywords":"Computer science; Set (abstract data type); Process (computing); Soar; Task (project management); Information needs; Data science; Information retrieval; World Wide Web; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02235081,0.002036374,0.002322536,0.01021575,0.002671262,0.007894116,0.002634096,0.00196058,0.01860951],"category_scores_gemma":[0.0688844,0.0009984005,0.00259318,0.00600097,0.001796268,0.0091462,0.009146629,0.001715397,0.003209755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199998,"about_ca_system_score_gemma":0.003991761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316933,"about_ca_topic_score_gemma":0.001431366,"domain_scores_codex":[0.9719854,0.01480749,0.002537493,0.003518918,0.0065648,0.0005858205],"domain_scores_gemma":[0.9022967,0.07358934,0.003043205,0.01245631,0.007561954,0.001052529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001031689,0.0004159927,0.003349452,0.003173044,0.0005824283,0.000600763,0.009156659,0.02288701,0.01548911,0.10257,0.0168294,0.8239144],"study_design_scores_gemma":[0.0004247587,0.0006305751,0.001993432,0.001206646,0.0009778971,0.0005695402,0.005388765,0.2459866,0.07100755,0.386701,0.2847801,0.0003331788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01683412,0.001740172,0.9529276,0.00198013,0.0002747093,0.001196347,0.001239955,0.00445387,0.01935298],"genre_scores_gemma":[0.1815411,0.0009213014,0.8053946,0.0004069878,0.0002204811,0.00154343,0.002189968,0.0006871755,0.007094948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02235081,"threshold_uncertainty_score":0.1182038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009890559291001112,"score_gpt":0.2549918250836471,"score_spread":0.245101265792646,"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."}}