{"id":"W1523014184","doi":"10.1007/11693017_13","title":"An Empirical Study of the Impact of Asynchronous Discussions on Remote Synchronous Requirements Meetings","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Asynchronous communication; Ibis; Negotiation; Computer science; Software; Software engineering; Empirical research; Knowledge management; Process management; Engineering management; Telecommunications; Engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009448778,0.0004441269,0.0005434325,0.000476524,0.0001834364,0.0001499957,0.003960424,0.000212437,0.000007311378],"category_scores_gemma":[0.0001578515,0.0002673947,0.000202147,0.0006679104,0.0003401971,0.0004240878,0.0009961583,0.0006780769,0.000001602214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357684,"about_ca_system_score_gemma":0.0003754263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000570784,"about_ca_topic_score_gemma":0.00005415184,"domain_scores_codex":[0.99681,0.0001049556,0.0006337343,0.0009721236,0.001067155,0.0004120576],"domain_scores_gemma":[0.9962155,0.0005921546,0.0006363465,0.00227084,0.0001827081,0.0001024241],"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":[0.00002820039,0.0009001578,0.004761396,0.00005452241,0.00006125832,0.00004904424,0.0027376,0.5729246,0.0003965676,0.0004033385,0.0001124685,0.4175709],"study_design_scores_gemma":[0.0007365563,0.008649961,0.04061744,0.001526154,0.00005389763,0.00007130188,0.000001338102,0.9121193,0.002786841,0.03211273,0.0001211947,0.001203329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02492651,0.00005638225,0.9730313,0.0001269732,0.0005171534,0.0006061387,0.000005731694,0.0001518003,0.0005779876],"genre_scores_gemma":[0.8856582,0.000004902445,0.1141211,0.00006004306,0.0001067269,0.000002851616,0.000001198211,0.00002526956,0.00001971895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8607317,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292641103915348,"score_gpt":0.3264280839452124,"score_spread":0.303501672906059,"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."}}