{"id":"W1966260051","doi":"10.1016/j.intcom.2010.08.003","title":"Towards analytical evaluation of human machine interfaces developed in the context of smart homes","year":2010,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Human–computer interaction; Human–machine system; Context (archaeology); Human–machine interface","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":[0.0207627,0.001523389,0.0009149506,0.003958429,0.000650535,0.004004901,0.00169077,0.00140233,0.001005021],"category_scores_gemma":[0.09165271,0.0004790869,0.0007514119,0.001703258,0.002152937,0.003987865,0.001770009,0.001002799,0.0002503948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288184,"about_ca_system_score_gemma":0.002069455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002407661,"about_ca_topic_score_gemma":0.001490802,"domain_scores_codex":[0.9656762,0.02415544,0.001439953,0.0009158064,0.007445934,0.0003666086],"domain_scores_gemma":[0.945115,0.0366536,0.004550377,0.003157353,0.01005756,0.000466222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002125384,0.004280073,0.0725397,0.003691278,0.0007659733,0.0006459893,0.03168802,0.1546383,0.08276296,0.09294508,0.003423174,0.550494],"study_design_scores_gemma":[0.0002809589,0.00392111,0.05169462,0.0008337373,0.0002795655,0.0005129215,0.0135979,0.7900661,0.07604846,0.05221058,0.01028646,0.0002676291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.334407,0.001060639,0.654914,0.0004661373,0.00004692691,0.001189503,0.0001534709,0.0006167935,0.007145633],"genre_scores_gemma":[0.7330524,0.0005060709,0.2645361,0.00007131563,0.00002353676,0.0009784284,0.0001874367,0.00004827238,0.000596539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0207627,"threshold_uncertainty_score":0.1098049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06116789150142283,"score_gpt":0.3426437866838642,"score_spread":0.2814758951824414,"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."}}