{"id":"W63467881","doi":"10.5072/zenodo.206485","title":"The Sponge A Flexible Interface","year":2010,"lang":"en","type":"article","venue":"New Interfaces for Musical Expression","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Gesture; Sponge; Context (archaeology); Computer science; Interface (matter); Human–computer interaction; Performing arts; Pleasure; Electroacoustic music; Energy (signal processing); Acoustics; Art; Visual arts; Physics; Artificial intelligence; Geology; Psychology","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":[0.0002762743,0.0001704562,0.000170072,0.00004511426,0.0005979055,0.0002027982,0.001600762,0.0001760609,0.00003951347],"category_scores_gemma":[0.0003372809,0.00009963023,0.00009141362,0.0001433928,0.0002062564,0.0002715247,0.0008029576,0.0004735773,0.00006144215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001315998,"about_ca_system_score_gemma":0.00004227712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441848,"about_ca_topic_score_gemma":0.00008699248,"domain_scores_codex":[0.9987857,0.00002668732,0.0002293941,0.0004158112,0.000173734,0.000368708],"domain_scores_gemma":[0.998511,0.0004691009,0.00008713896,0.0007713424,0.00006312963,0.00009830001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001538042,0.00008892769,0.00004117151,0.00001374744,0.00003232066,0.000002337692,0.003334388,0.000007781545,0.3357342,0.2075624,0.2193238,0.2337051],"study_design_scores_gemma":[0.0004243583,0.0001699219,0.0001331575,0.00003615581,0.000004567665,0.000009849104,0.0001044054,0.002974738,0.2030502,0.04051771,0.7524027,0.0001722585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3755508,0.0003491264,0.6036074,0.01034238,0.004502789,0.0004306455,0.00000295487,0.0006777569,0.004536155],"genre_scores_gemma":[0.9685903,0.00001426754,0.02403049,0.000276069,0.0002456805,0.00006223762,5.46203e-7,0.00001111381,0.006769348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5930395,"threshold_uncertainty_score":0.4598666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667179644642052,"score_gpt":0.2854850970557063,"score_spread":0.2688133006092858,"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."}}