{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001613369,0.0008706884,0.0006119492,0.002378854,0.0006849046,0.002331034,0.001045047,0.0007742229,0.004294596],"category_scores_gemma":[0.008962504,0.0002819518,0.0006088263,0.002019768,0.0005610767,0.00130403,0.002036226,0.001326677,0.0005929111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006675243,"about_ca_system_score_gemma":0.001332646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004728224,"about_ca_topic_score_gemma":0.003623973,"domain_scores_codex":[0.9991084,0.0003158795,0.00008171237,0.0001298504,0.00030379,0.00006038184],"domain_scores_gemma":[0.9958739,0.002133646,0.0002507865,0.0005867577,0.0009076765,0.0002472599],"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":[0.001160248,0.0006733587,0.02468755,0.0009428774,0.0002662567,0.001005383,0.005192166,0.6236556,0.02998933,0.06452128,0.04549053,0.2024153],"study_design_scores_gemma":[0.00005085266,0.00004320059,0.002394776,0.00006007803,0.0000149582,0.0000574213,0.0004246873,0.9585422,0.007839143,0.01864362,0.01188784,0.00004124891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079485,0.0005916633,0.7301391,0.003134935,0.0003628785,0.0006038791,0.0124371,0.03000115,0.01478087],"genre_scores_gemma":[0.739785,0.00045153,0.2503608,0.0001724922,0.00006194269,0.0005181998,0.006361872,0.0009745395,0.001313799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004728224,"threshold_uncertainty_score":0.01436687,"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."}}