{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920245,0.0001495166,0.0001741527,0.0001413802,0.0001144625,0.0003659275,0.0006359437,0.00005914926,0.000005071014],"category_scores_gemma":[0.00005707291,0.0001287793,0.00006570217,0.0002196123,0.0000181677,0.0008765033,0.0001169974,0.00009100916,0.00002653527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000607152,"about_ca_system_score_gemma":0.00006111403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990598,"about_ca_topic_score_gemma":0.0001490292,"domain_scores_codex":[0.9987364,0.0000540449,0.0002520213,0.0004426609,0.0001623865,0.0003524512],"domain_scores_gemma":[0.9991785,0.0001902204,0.0001131886,0.0003558862,0.000109673,0.00005254513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006712459,0.001194267,0.02806589,0.000341649,0.0001972792,0.0001916644,0.01959026,0.002576508,0.4361329,0.09029203,0.324019,0.09672729],"study_design_scores_gemma":[0.002174617,0.001276178,0.001793271,0.0003285687,0.00001922128,0.0001487071,0.002775851,0.2359483,0.6665057,0.01024847,0.07750213,0.001279026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08445828,0.00006876598,0.866596,0.0001357635,0.0007673812,0.0006212454,0.000005859023,0.000527738,0.04681897],"genre_scores_gemma":[0.8675075,1.986481e-7,0.1311005,0.0001061574,0.0002728175,0.00004328949,0.00001347666,0.00001322026,0.000942829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7830492,"threshold_uncertainty_score":0.5251467,"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."}}