{"id":"W4213341543","doi":"10.1109/tcss.2022.3146049","title":"Data Analytics and Visualization of Adaptive Collaboration Simulations","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Visual analytics; Computer science; Analytics; Data visualization; Data science; Complex system; Complex adaptive system; Open source; Scale (ratio); Human–computer interaction; Distributed computing; Data mining; Artificial intelligence; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881315,0.0001054298,0.0001742655,0.0002466693,0.0008175095,0.0001309093,0.0004303591,0.00003692764,0.00002564411],"category_scores_gemma":[0.000008600635,0.0001260017,0.00002982217,0.001285431,0.0000511514,0.0005315131,0.00002223422,0.00009260029,0.000002613323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028613,"about_ca_system_score_gemma":0.0001867446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004760125,"about_ca_topic_score_gemma":0.00002277462,"domain_scores_codex":[0.9983014,0.0002499883,0.0003964168,0.0003178885,0.0006279277,0.0001063548],"domain_scores_gemma":[0.9989634,0.0002023729,0.0002455274,0.0002445007,0.0002967902,0.00004740881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009006749,0.00015135,0.00001840891,0.00001187483,0.00004998033,6.027267e-7,0.0006302317,0.8999362,0.00002549935,0.09767029,0.0006135112,0.0008830604],"study_design_scores_gemma":[0.0003225668,0.00009082269,0.0001190059,0.000005821772,0.00002735663,0.000003520009,0.0005526184,0.9963937,0.00001852107,0.000925423,0.001419888,0.0001207057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001234141,0.00002542148,0.995814,0.0002353825,0.0004424614,0.0002321355,0.001850339,0.00007470726,0.00009136237],"genre_scores_gemma":[0.9971519,0.000003644856,0.00216005,0.00009807375,0.00004137385,0.00001357475,0.0004160688,0.00001059486,0.0001047379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959177,"threshold_uncertainty_score":0.6287705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07174199904608834,"score_gpt":0.3437723361903213,"score_spread":0.272030337144233,"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."}}