{"id":"W2309656070","doi":"10.1080/08874417.2002.11647053","title":"Designing a Web-Based Multi-Criteria Group Support System (MCGSS)","year":2002,"lang":"en","type":"article","venue":"Journal of Computer Information Systems","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Analytic hierarchy process; Computer science; Asynchronous communication; Voting; Simple (philosophy); Process (computing); The Internet; Group (periodic table); Human–computer interaction; Group decision-making; Web application; Graphical user interface; World Wide Web; Operations research; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001087841,0.000175355,0.0003806591,0.0004541162,0.000101962,0.0002804286,0.0003245268,0.0001295446,0.0001533462],"category_scores_gemma":[0.000004968695,0.0001476109,0.0001502469,0.000197813,0.00002116569,0.001155579,0.00002297405,0.00024928,0.0006074857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312882,"about_ca_system_score_gemma":0.00003140739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000139678,"about_ca_topic_score_gemma":5.746098e-7,"domain_scores_codex":[0.9976591,0.0001615153,0.001444036,0.00008031698,0.0003912527,0.0002638083],"domain_scores_gemma":[0.9979233,0.0000669623,0.001287714,0.000244273,0.0003385,0.0001393031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001074902,0.001623063,0.03301825,0.006184596,0.001829024,0.000754468,0.07379489,0.1226078,0.0008896254,0.02451433,0.4955568,0.2381523],"study_design_scores_gemma":[0.002867257,0.0003868208,0.001806623,0.0003051711,0.00002099795,0.001251696,0.0008440669,0.905302,0.000004029567,3.348167e-7,0.08702714,0.0001838044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08021665,0.0001873594,0.9039853,0.00006964607,0.009089806,0.0003483187,0.00002641165,0.0001118541,0.005964608],"genre_scores_gemma":[0.9910544,0.000004006508,0.007917628,0.0002517118,0.0006077727,0.00001127175,0.00001068278,0.00001370366,0.0001288032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108378,"threshold_uncertainty_score":0.7808203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288063034362295,"score_gpt":0.2779066182958108,"score_spread":0.2450259879521878,"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."}}