{"id":"W2054054049","doi":"10.1109/tvcg.2014.2346573","title":"Supporting Communication and Coordination in Collaborative Sensemaking","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Division 29: Society for the Advancement of Psychotherapy; University of Victoria","keywords":"Sensemaking; Computer science; Set (abstract data type); Task (project management); Baseline (sea); Human–computer interaction; Visual analytics; Work (physics); Collaborative software; Information sharing; Analytics; Shared space; Knowledge management; Space (punctuation); World Wide Web; Data science; Visualization; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.019319,0.001623996,0.0007865112,0.004539668,0.003767135,0.009612162,0.003273443,0.002468333,0.006875874],"category_scores_gemma":[0.08336553,0.001322563,0.001253342,0.003164476,0.006116662,0.01494989,0.01863817,0.001739999,0.001767959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136744,"about_ca_system_score_gemma":0.00282827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326625,"about_ca_topic_score_gemma":0.001270928,"domain_scores_codex":[0.9786397,0.01393625,0.001300802,0.002665128,0.002352279,0.001105779],"domain_scores_gemma":[0.9052483,0.06593824,0.006453563,0.01610981,0.003103197,0.003146792],"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":[0.001126425,0.0007566224,0.0129091,0.002651129,0.00020372,0.002246266,0.2064189,0.01046153,0.04564913,0.08688859,0.009907557,0.620781],"study_design_scores_gemma":[0.001120087,0.001749971,0.01877913,0.002404875,0.0005039522,0.002712032,0.0832282,0.1087705,0.04997461,0.4677515,0.2620588,0.0009464006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124911,0.0005351601,0.8457724,0.002654388,0.0002227038,0.0007654382,0.0002281534,0.005724891,0.01918587],"genre_scores_gemma":[0.5354892,0.000353333,0.4588878,0.0003174166,0.0001349115,0.001168116,0.0003043321,0.0004738643,0.002870987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.019319,"threshold_uncertainty_score":0.1021699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465804134012288,"score_gpt":0.3095497094786802,"score_spread":0.2948916681385573,"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."}}