{"id":"W2080229933","doi":"10.1145/1226969.1227005","title":"Exploring ambient sound techniques in the design of responsive environments for children","year":2007,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sound (geography); Computer science; Ambient intelligence; Human–computer interaction; Acoustics; Physics","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":[0.004098709,0.0007796651,0.0003407857,0.0005392563,0.000758105,0.002152183,0.001276441,0.0009930261,0.002453276],"category_scores_gemma":[0.00638945,0.0005361718,0.0006062955,0.0002935964,0.00216493,0.002396461,0.002098669,0.001136425,0.0004602552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887573,"about_ca_system_score_gemma":0.0006259358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004623494,"about_ca_topic_score_gemma":0.0009184049,"domain_scores_codex":[0.996832,0.002112974,0.0001387508,0.0002428223,0.0005274568,0.0001459885],"domain_scores_gemma":[0.9966387,0.002806122,0.00013901,0.0001221731,0.0001904402,0.0001035359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006558875,0.0006423237,0.004655192,0.0046545,0.0001697872,0.002697123,0.1087977,0.02997446,0.2319188,0.1515555,0.002343473,0.4619353],"study_design_scores_gemma":[0.001025477,0.005559992,0.007992519,0.002521994,0.0006997482,0.006625149,0.04500455,0.09061097,0.1878754,0.1336266,0.5179235,0.0005340255],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06854042,0.001247198,0.9188728,0.0004524739,0.00004265695,0.0002701114,0.00002087596,0.0003733547,0.01018005],"genre_scores_gemma":[0.3172128,0.001453127,0.6772084,0.0001272979,0.0000218582,0.0006018208,0.00003321349,0.0001300879,0.003211488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004098709,"threshold_uncertainty_score":0.0216763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947662796797438,"score_gpt":0.3293376900084333,"score_spread":0.1345714103286895,"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."}}