{"id":"W4285109023","doi":"10.1017/dsj.2022.12","title":"Communication patterns in engineering enterprise social networks: an exploratory analysis using short text topic modelling","year":2022,"lang":"en","type":"article","venue":"Design Science","topic":"Design Education and Practice","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Social network analysis; Set (abstract data type); Knowledge management; New product development; Social network (sociolinguistics); Exploratory research; Data science; Product (mathematics); Process (computing); Product design; Social media; World Wide Web; Management; Sociology","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":[0.001601334,0.00009221564,0.0001163505,0.0004713176,0.0003212223,0.0001115458,0.0004727909,0.00002207934,0.0000675363],"category_scores_gemma":[0.00001512499,0.000117843,0.0000314768,0.001992301,0.00002850979,0.0008528932,0.00006918499,0.0002483374,9.500871e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936989,"about_ca_system_score_gemma":0.00006296152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002184375,"about_ca_topic_score_gemma":0.000005567993,"domain_scores_codex":[0.998901,0.0001572881,0.0001971364,0.00019293,0.0003132159,0.0002384079],"domain_scores_gemma":[0.9994985,0.00008856603,0.00002880501,0.0002875229,0.00003325558,0.00006337592],"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":[0.000002697117,0.00002591321,0.001492119,0.000003153762,0.000008904187,0.000001370177,0.003737897,0.9917541,0.001601874,0.00006284782,0.000005872221,0.001303294],"study_design_scores_gemma":[0.00004000995,0.000006520938,0.00128213,0.000004116329,0.00002699684,0.000001630698,0.001359338,0.99692,0.0001421389,0.00001376879,0.00007440995,0.0001288753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2985627,0.00008551518,0.7010049,0.00001048849,0.000133414,0.0000745837,9.835379e-7,0.00006524493,0.00006222036],"genre_scores_gemma":[0.9911893,0.00002849634,0.008641991,0.00004307272,0.00003304555,0.00004090922,0.000005040844,0.00001346688,0.000004659315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6926267,"threshold_uncertainty_score":0.48055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07802889857386103,"score_gpt":0.3001244374811094,"score_spread":0.2220955389072484,"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."}}