{"id":"W3090846208","doi":"10.1109/camad50429.2020.9209292","title":"A Data-Driven Learning System Based on Natural Intelligence for an IoT Virtual Assistant","year":2020,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Internet of Things; Natural (archaeology); Human–computer interaction; Artificial intelligence; World Wide Web","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":[0.0003487765,0.0003796597,0.000386894,0.0003448361,0.0005619633,0.001161378,0.001508917,0.0008210083,0.005741194],"category_scores_gemma":[0.0008285298,0.0001931119,0.0003701314,0.0002478779,0.000470751,0.001055586,0.001072033,0.0006882095,0.001975029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874869,"about_ca_system_score_gemma":0.000795535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473731,"about_ca_topic_score_gemma":0.001750397,"domain_scores_codex":[0.9997543,0.00002385264,0.00001911204,0.00009542686,0.00007252288,0.00003482631],"domain_scores_gemma":[0.9997641,0.00006013186,0.00002526221,0.00004202539,0.00005725431,0.00005117361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001223514,0.001693437,0.007364834,0.000670498,0.0001805587,0.002165344,0.00199602,0.06958101,0.2414121,0.05597033,0.01857374,0.5991687],"study_design_scores_gemma":[0.0001275488,0.0006876427,0.002525133,0.00008510904,0.0001171365,0.001089892,0.0002128797,0.8303451,0.07644901,0.02102378,0.0672171,0.0001196137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07348678,0.0002044393,0.8894743,0.0006165251,0.000224572,0.0004315829,0.000240525,0.01184657,0.02347486],"genre_scores_gemma":[0.7262164,0.0001504076,0.2523189,0.0004828679,0.00006545868,0.0003601316,0.0002968506,0.0002153401,0.01989369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005741194,"threshold_uncertainty_score":0.01920629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08783914406803146,"score_gpt":0.2983676289432287,"score_spread":0.2105284848751972,"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."}}