{"id":"W2759001993","doi":"10.2196/iproc.8576","title":"Early User Centered Insights on Voice Integrated Technologies Through Retrospective Analysis","year":2017,"lang":"en","type":"article","venue":"Iproceedings","topic":"AI in Service Interactions","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Amazon rainforest; Computer science; Internet privacy; Business; Data science; World Wide Web; Human–computer interaction","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":[0.06926283,0.0007667541,0.0009393167,0.01404691,0.001927203,0.004964004,0.001897155,0.0009293305,0.002752888],"category_scores_gemma":[0.256667,0.0009066742,0.0008765829,0.009282442,0.002368891,0.004279257,0.003533654,0.001362826,0.001138975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004228007,"about_ca_system_score_gemma":0.005595521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00613962,"about_ca_topic_score_gemma":0.0142778,"domain_scores_codex":[0.914442,0.04894389,0.01285942,0.004738871,0.01674839,0.002267416],"domain_scores_gemma":[0.5707816,0.2796457,0.04913387,0.02053871,0.07839838,0.001501749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009189551,0.0004430984,0.2124731,0.01431033,0.0003139546,0.003260644,0.4689117,0.0008254427,0.008838207,0.0141076,0.01979469,0.2558023],"study_design_scores_gemma":[0.0001157451,0.001411695,0.3410751,0.01898775,0.0006101741,0.003199428,0.364343,0.006709537,0.01577975,0.00890394,0.2384368,0.0004271564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8401561,0.008972421,0.09476034,0.003366122,0.000316843,0.01353608,0.0175443,0.0006236344,0.02072414],"genre_scores_gemma":[0.8873712,0.003170214,0.07919759,0.001654264,0.0001552815,0.01600162,0.007149388,0.0003384168,0.004961911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06926283,"threshold_uncertainty_score":0.3663012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634210842104479,"score_gpt":0.2884537088607863,"score_spread":0.2621116004397415,"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."}}