{"id":"W1994009038","doi":"10.1177/1071181311551292","title":"Exploiting the Auditory Modality in Decision Support","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Modality (human–computer interaction); Modalities; Computer science; Task (project management); Identification (biology); Warning system; Affect (linguistics); Stimulus modality; Human–computer interaction; Psychology; Cognitive psychology; Communication; Sensory system; Engineering","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":[0.001062362,0.0003889785,0.0001597949,0.0004690569,0.0003326737,0.002367522,0.0004442343,0.0007173736,0.003867772],"category_scores_gemma":[0.009430791,0.0002136006,0.0001870531,0.0002730193,0.0007260636,0.002068403,0.0009597249,0.0003341878,0.0005782471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338541,"about_ca_system_score_gemma":0.000456902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120029,"about_ca_topic_score_gemma":0.001040137,"domain_scores_codex":[0.9991723,0.0004393673,0.00003395973,0.0001136741,0.0001676803,0.00007295021],"domain_scores_gemma":[0.9950182,0.004091818,0.0002942072,0.0001648003,0.0003089964,0.0001219833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005883879,0.0008644096,0.02646934,0.00194519,0.0001981897,0.001562414,0.008565845,0.03502186,0.247525,0.01930977,0.003327628,0.6493264],"study_design_scores_gemma":[0.001959843,0.01316847,0.1491804,0.002114721,0.00123583,0.00700269,0.0228153,0.3355714,0.1671602,0.202151,0.09660522,0.001034994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8286926,0.001772416,0.12263,0.001579414,0.0002461914,0.0001889151,0.0001488123,0.0005027551,0.04423897],"genre_scores_gemma":[0.9869887,0.0002766478,0.01167587,0.0001125955,0.00003768099,0.00002440248,0.00001493492,0.000009727236,0.0008596274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003867772,"threshold_uncertainty_score":0.01293898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429431898580126,"score_gpt":0.3006163157341513,"score_spread":0.2576731258761387,"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."}}