{"id":"W4307174479","doi":"10.5281/zenodo.7243950","title":"Interactive Sonification for Health and Energy using ChucK and Unity","year":2022,"lang":"en","type":"paratext","venue":"arXiv (Cornell University)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sonification; Energy (signal processing); Human–computer interaction; Computer science; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003894656,0.0001959024,0.0002457161,0.0002575793,0.0006987287,0.00005913408,0.000157018,0.00009461246,0.0003937042],"category_scores_gemma":[0.00008582349,0.0002396163,0.00006661333,0.0002739168,0.0001072337,0.0003403244,0.0001311664,0.0003299552,0.00002692215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954483,"about_ca_system_score_gemma":0.0001885362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005336754,"about_ca_topic_score_gemma":0.00006349886,"domain_scores_codex":[0.9986543,0.0002332186,0.0001410792,0.0006936883,0.00004559351,0.0002321408],"domain_scores_gemma":[0.9987983,0.0004553558,0.0003040925,0.0002388053,0.00004693367,0.0001565556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009181945,0.003217048,0.0009775916,0.002592955,0.0009984924,0.0005489049,0.01509073,0.09741551,0.1363522,0.3615204,0.3467176,0.02538655],"study_design_scores_gemma":[0.0009502078,0.0004929102,0.00004509241,0.00008876932,0.00009858459,0.00009909113,0.002626905,0.08640171,0.005414359,0.0008830855,0.9022143,0.0006849431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018415,0.0002286977,0.04697837,0.000721905,0.004494425,0.001013927,0.00173601,0.0001602151,0.04282501],"genre_scores_gemma":[0.921771,0.001432247,0.00002633284,0.000708125,0.00007855576,0.000002257068,0.00006451437,0.00002621,0.07589071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5554967,"threshold_uncertainty_score":0.9771268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1643712745646848,"score_gpt":0.2639550119478509,"score_spread":0.09958373738316612,"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."}}