{"id":"W2398309884","doi":"","title":"Audioscapes: Exploring Surface Interfaces for Music Exploration","year":2009,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Variety (cybernetics); Context (archaeology); Multimedia; Architecture; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393722,0.0008382521,0.0005073395,0.0007172406,0.0004422025,0.00343631,0.001381779,0.001056861,0.01862644],"category_scores_gemma":[0.002007662,0.0003320115,0.0006411182,0.0008729097,0.0008732608,0.003301895,0.002448978,0.0009031658,0.002885771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512319,"about_ca_system_score_gemma":0.0003327866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152182,"about_ca_topic_score_gemma":0.002745838,"domain_scores_codex":[0.999561,0.0001168584,0.00001793369,0.00006462105,0.0001874259,0.00005209435],"domain_scores_gemma":[0.9994796,0.0003341347,0.00001284049,0.00004985256,0.00007133222,0.0000521522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009773922,0.0002042808,0.001510392,0.00228519,0.00009849804,0.001336252,0.008674535,0.006970444,0.1389082,0.05258201,0.02995591,0.7564968],"study_design_scores_gemma":[0.0004468907,0.001441914,0.007149173,0.001304479,0.0002500369,0.003485231,0.006934122,0.09313428,0.05405318,0.07325038,0.7583408,0.0002095408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08519335,0.01148877,0.8204761,0.001757565,0.0003842544,0.0004973646,0.001112542,0.01367711,0.06541301],"genre_scores_gemma":[0.3360863,0.01011245,0.6022532,0.0006134928,0.0001986328,0.0006635065,0.002237222,0.002000641,0.04583446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01862644,"threshold_uncertainty_score":0.06231171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111664977489921,"score_gpt":0.2578071017940091,"score_spread":0.2066904520191098,"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."}}