{"id":"W1983182553","doi":"10.1145/2559206.2581253","title":"Gamification of collaborative idea generation and convergence","year":2014,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada); University of Toronto; IBM (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brainstorming; Convergence (economics); Computer science; Quality (philosophy); Ideation; Collaborative software; Work (physics); Human–computer interaction; Knowledge management; Multimedia; Psychology; Engineering; Artificial intelligence; Epistemology; Cognitive science","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":[0.00507737,0.001139638,0.0005478368,0.00161586,0.0005151095,0.002475819,0.0007387112,0.0009023761,0.003762649],"category_scores_gemma":[0.02734776,0.0003538239,0.0007396748,0.0007417458,0.001368001,0.002456783,0.003164298,0.0009774528,0.0003429407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438891,"about_ca_system_score_gemma":0.0006107274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972476,"about_ca_topic_score_gemma":0.0005579925,"domain_scores_codex":[0.9956895,0.003097519,0.00016435,0.000255337,0.0005551989,0.0002380934],"domain_scores_gemma":[0.9848918,0.01199294,0.0007849935,0.0009605195,0.0007098594,0.0006599476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004257726,0.003331274,0.05789484,0.002446248,0.00048178,0.0008612546,0.01237977,0.07074135,0.0258505,0.1542095,0.003781057,0.6637647],"study_design_scores_gemma":[0.001569264,0.00628727,0.0700122,0.001423501,0.0008750129,0.001841348,0.005329315,0.4953816,0.03770267,0.3416159,0.0376188,0.0003432268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7122464,0.0008794556,0.2431643,0.0007461262,0.0001325862,0.0008431879,0.00007625642,0.001055179,0.04085646],"genre_scores_gemma":[0.8941524,0.0002269861,0.1028586,0.00005683393,0.00001615075,0.0004924579,0.00006548948,0.00005124592,0.002079701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00507737,"threshold_uncertainty_score":0.02685207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264214022046096,"score_gpt":0.3226859998544793,"score_spread":0.2962645976498697,"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."}}