{"id":"W1604755978","doi":"","title":"Computational simulations of mediated face-to-face multimodal communication","year":2004,"lang":"en","type":"article","venue":"","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Repertoire; Augmentative and alternative communication; Set (abstract data type); Computer science; Mode (computer interface); Articulation (sociology); Mechanism (biology); Component (thermodynamics); Human–computer interaction; Face (sociological concept); Facial expression; Communication; Multimodal interaction; Speech recognition; Psychology; Linguistics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004138665,0.00009862249,0.0001911755,0.0001316701,0.0005498089,0.000001997791,0.0004616683,0.0001982363,0.0005489478],"category_scores_gemma":[0.0007891567,0.00009276831,0.00003841886,0.0003630263,0.000199904,0.00007339998,0.0003177126,0.0004422222,0.0004090047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952775,"about_ca_system_score_gemma":0.0002459557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003672913,"about_ca_topic_score_gemma":0.0005643675,"domain_scores_codex":[0.9986013,0.0003345493,0.0005542866,0.0001600707,0.0001648777,0.0001849732],"domain_scores_gemma":[0.9969004,0.001530528,0.0002101264,0.0008386923,0.0004366294,0.00008363948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001705128,0.001546172,0.2240459,0.0001110242,0.0001540548,4.568197e-7,0.01308881,0.535374,0.002953736,0.2161572,0.003567816,0.002830331],"study_design_scores_gemma":[0.004693909,0.0001371467,0.8974947,0.0001973678,0.00003398001,7.348447e-7,0.009344193,0.05059319,0.000543151,0.02703533,0.009541223,0.0003850301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353408,0.00004736785,0.2316041,0.01847288,0.00008300636,0.001337659,0.0001440272,0.0004384591,0.01253167],"genre_scores_gemma":[0.9481869,0.000006850293,0.05023516,0.0009491505,0.000005993637,0.00007546661,0.0002470058,0.0000105093,0.0002830068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6734489,"threshold_uncertainty_score":0.6010594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07749795892241018,"score_gpt":0.4523143573705422,"score_spread":0.374816398448132,"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."}}