{"id":"W2377608189","doi":"","title":"Interaction between Computers and Persons by Voice in tbe Ms Agent and C","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Dialog box; Human–computer interaction; Multimedia; Speech recognition; Natural language processing; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275544,0.0006684159,0.0004245247,0.0005528983,0.001973846,0.00420542,0.001091987,0.001842359,0.01676098],"category_scores_gemma":[0.003378468,0.0003772218,0.0004865334,0.0004087941,0.002514517,0.003993606,0.003066624,0.001548825,0.003286043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884464,"about_ca_system_score_gemma":0.001078819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172039,"about_ca_topic_score_gemma":0.004317223,"domain_scores_codex":[0.997399,0.001240659,0.0001127651,0.0004163774,0.0006339051,0.0001973771],"domain_scores_gemma":[0.9986396,0.000798865,0.00007374975,0.0001891847,0.0001768244,0.0001216823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005737123,0.0001436207,0.001303052,0.000403714,0.00004172367,0.001100717,0.01854803,0.006732534,0.03671727,0.6602354,0.0128517,0.2613485],"study_design_scores_gemma":[0.00012814,0.0003406979,0.000858703,0.0002484362,0.00007045653,0.001102974,0.005243445,0.07052808,0.0560084,0.1144601,0.7508433,0.0001671318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02360843,0.0004217195,0.876174,0.00135406,0.0002594725,0.0002295843,0.00007680701,0.002089286,0.09578673],"genre_scores_gemma":[0.2817791,0.0004246864,0.6092505,0.0008406977,0.0001347313,0.000575998,0.0001303968,0.0006087895,0.1062552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01676098,"threshold_uncertainty_score":0.05607104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854342430098955,"score_gpt":0.2772785540826571,"score_spread":0.2587351297816676,"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."}}