{"id":"W4312480969","doi":"10.1115/detc2022-89731","title":"Does Synchronous Collaboration Improve Collaborative Computer-Aided Design Output: Results From a Large-Scale Competition","year":2022,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Competition (biology); Context (archaeology); Synchronicity; Mediation; CAD; Knowledge management; 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":[0.0007189626,0.0002351375,0.0002560093,0.0002330955,0.0008683864,0.000500706,0.0002505771,0.00005677232,0.0006391518],"category_scores_gemma":[0.00007894844,0.00018565,0.00003914973,0.001295252,0.00003000703,0.001331968,0.0003251504,0.0001452993,0.0001811879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999627,"about_ca_system_score_gemma":0.0001531406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002127764,"about_ca_topic_score_gemma":0.0002479768,"domain_scores_codex":[0.9980672,0.00008515472,0.0004827364,0.0006105866,0.0004506751,0.0003036314],"domain_scores_gemma":[0.9987019,0.00007884319,0.0004173532,0.0002884405,0.0004968244,0.0000166628],"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":[0.0116262,0.005084952,0.01018724,0.000400246,0.0009706877,0.0001680546,0.02734046,0.1030349,0.02664323,0.09161545,0.6650117,0.0579169],"study_design_scores_gemma":[0.01315268,0.0002293259,0.007916745,0.00006420439,0.0002259194,0.000001463847,0.02084367,0.4965056,0.005147738,0.01218455,0.441828,0.001900121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3212957,0.0001428595,0.6124946,0.01974096,0.01346875,0.006138748,0.001283541,0.002210982,0.02322389],"genre_scores_gemma":[0.9753486,0.000008222973,0.01454103,0.002510045,0.001899681,0.000215761,0.003416307,0.0000421289,0.002018246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6540529,"threshold_uncertainty_score":0.7570589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007526797495065468,"score_gpt":0.1949111135237159,"score_spread":0.1873843160286505,"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."}}