{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048714,0.00006852413,0.0001187408,0.0002548849,0.0003525428,0.0002483178,0.0009728399,0.00003008531,0.000001057886],"category_scores_gemma":[0.0008913553,0.00004998125,0.0000452373,0.005521272,0.001293473,0.007083028,0.0003095538,0.00005366964,0.000005271298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194308,"about_ca_system_score_gemma":0.00006194732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001643924,"about_ca_topic_score_gemma":7.904977e-8,"domain_scores_codex":[0.9991334,9.540403e-7,0.0002455455,0.00008959808,0.0003506365,0.0001798417],"domain_scores_gemma":[0.9975627,0.00003182681,0.0005467515,0.0001259425,0.001698124,0.00003464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002167294,0.00001861074,0.00125662,0.00006607627,0.000019106,2.717239e-9,0.004036234,0.000003068202,0.001464181,0.7524177,0.02263495,0.2180813],"study_design_scores_gemma":[0.0005567326,0.0002920135,0.001266056,0.0000649268,0.00003781861,0.00001809961,0.02859168,0.4494512,0.07246507,0.006281873,0.4405313,0.0004431916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.497831,0.0001865924,0.3001505,0.1512184,0.0006941725,0.003824615,0.0003258471,0.001850261,0.04391849],"genre_scores_gemma":[0.959919,0.0002406551,0.03733657,0.00241257,0.000006914154,0.00005722247,9.146327e-7,0.000002057356,0.00002411751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7461358,"threshold_uncertainty_score":0.5135025,"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."}}