{"id":"W2163085600","doi":"10.1145/1125451.1125677","title":"An interactive speech interface for summarizing agile project planning meetings","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Agile software development; Ambiguity; Computer science; Interface (matter); Natural language; Human–computer interaction; Natural language understanding; Natural (archaeology); User interface; Natural language processing; Software 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001648565,0.001084919,0.0004836195,0.0007937998,0.0004473265,0.001217849,0.001186179,0.0009945016,0.01638922],"category_scores_gemma":[0.006047121,0.0002751351,0.0003637303,0.0004583782,0.0002868371,0.001212326,0.00104812,0.0007148447,0.005030299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385447,"about_ca_system_score_gemma":0.0002995344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005403748,"about_ca_topic_score_gemma":0.00070441,"domain_scores_codex":[0.9990036,0.0005254279,0.00006005318,0.0001592641,0.0002145496,0.00003706985],"domain_scores_gemma":[0.9963489,0.002663877,0.0001390504,0.0001937943,0.0004837607,0.0001706413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003186588,0.000260963,0.001238246,0.001788449,0.0001411585,0.0009912495,0.007847264,0.008069891,0.1531969,0.006973999,0.05528108,0.7610242],"study_design_scores_gemma":[0.001094022,0.00247508,0.006351952,0.0005532647,0.000541411,0.003103216,0.005175332,0.3095346,0.1352744,0.01479079,0.5206707,0.0004351492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03560248,0.0005708935,0.9175481,0.0003124496,0.0003677979,0.0004011485,0.001279316,0.03723818,0.006679694],"genre_scores_gemma":[0.2173516,0.0004616148,0.7605642,0.0003343493,0.0003876996,0.001098422,0.003336073,0.001637307,0.01482866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01638922,"threshold_uncertainty_score":0.05482739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243369820704067,"score_gpt":0.3141600177336455,"score_spread":0.2917263195266048,"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."}}