{"id":"W2785215785","doi":"10.1145/3173574.3173647","title":"Group vs Individual","year":2018,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensemaking; Multitude; Computer science; Human–computer interaction; Task (project management); Work (physics); Group (periodic table); Joint (building); Group work; Tilt (camera); Working group; Data science; Psychology; Engineering; Systems engineering; Mathematics education","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":[0.006405193,0.0002879581,0.000578969,0.0007096436,0.001261526,0.004061651,0.0007045245,0.0009612271,0.02888428],"category_scores_gemma":[0.03105128,0.0001660152,0.0004304693,0.0007521664,0.001596076,0.003147253,0.00352605,0.0009837699,0.002556819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008570693,"about_ca_system_score_gemma":0.001072068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760468,"about_ca_topic_score_gemma":0.001680669,"domain_scores_codex":[0.99368,0.003441055,0.0002951513,0.001119558,0.0009771707,0.0004869951],"domain_scores_gemma":[0.9817473,0.01181895,0.001476391,0.002246878,0.001080287,0.001630071],"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":[0.006834955,0.001439187,0.08185963,0.003987699,0.0006901675,0.0004360244,0.07327811,0.001088937,0.008496993,0.1150117,0.02531905,0.6815576],"study_design_scores_gemma":[0.002437938,0.01106182,0.2078551,0.004807474,0.001330111,0.001425317,0.1381629,0.00484517,0.01358481,0.107807,0.5064135,0.0002688658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7694386,0.005584714,0.04151292,0.004513763,0.001697427,0.001584302,0.001138094,0.0004576791,0.1740725],"genre_scores_gemma":[0.9781739,0.0008002679,0.009617925,0.001307913,0.0001229704,0.0009645806,0.000164235,0.00009971545,0.008748473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02888428,"threshold_uncertainty_score":0.09662759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714366468665671,"score_gpt":0.2618170707028691,"score_spread":0.2246734060162124,"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."}}