{"id":"W4312294641","doi":"10.1007/978-3-031-17615-9_2","title":"Holistic Multimodal Interaction and Design","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Modalities; Computer science; Set (abstract data type); Multimodal interaction; Human–computer interaction; Value (mathematics); Management science; Engineering; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001141167,0.0004282765,0.0004048233,0.0006337776,0.0003462476,0.0006039859,0.002257951,0.0001880995,0.0001233145],"category_scores_gemma":[0.0001413047,0.0004211188,0.00008040622,0.0003670765,0.000529065,0.0009531722,0.001652044,0.001048946,0.00003782739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416521,"about_ca_system_score_gemma":0.0003432517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005342211,"about_ca_topic_score_gemma":0.00002799461,"domain_scores_codex":[0.9967588,0.0001038431,0.0004137247,0.001511574,0.0007324672,0.000479551],"domain_scores_gemma":[0.9975008,0.0009676793,0.0001974265,0.00105899,0.0001231284,0.0001519284],"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":[0.00003646022,0.00006579734,0.00004012083,0.00005314979,0.00001815941,0.00012589,0.001921287,0.1223451,0.000206732,0.0332745,0.00005116051,0.8418616],"study_design_scores_gemma":[0.0002327315,0.0003400868,0.00008805122,0.0001188934,0.000009131849,0.0001593122,4.328867e-7,0.846658,0.0007648864,0.1476247,0.003408363,0.000595457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001299508,0.0002875212,0.9953272,0.0007164101,0.002056207,0.0004155981,0.000004240256,0.0001504432,0.000912421],"genre_scores_gemma":[0.3690705,0.00007671944,0.6287782,0.001498762,0.0002552983,0.00002972107,0.000003807722,0.00003947276,0.0002475757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8412662,"threshold_uncertainty_score":0.999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05680101783938137,"score_gpt":0.2857044238986658,"score_spread":0.2289034060592844,"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."}}