{"id":"W4393165238","doi":"10.3389/fcomm.2024.1288896","title":"A Universe of Sound: processing NASA data into sonifications to explore participant response","year":2024,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Multisensory perception and integration","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Vanderbilt University; National Aeronautics and Space Administration","keywords":"Partially sighted; Vision science; Citizen science; Process (computing); Psychology; Experiential learning; Computer science; Data science; Human–computer interaction; Visually impaired; Mathematics education; Astronomy; Artificial intelligence; 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":[0.003129622,0.0004326436,0.0002452303,0.0006519489,0.001194035,0.001496017,0.0004649402,0.000890965,0.007901181],"category_scores_gemma":[0.01258272,0.0001987801,0.0002534653,0.0004970187,0.001246676,0.001148377,0.001837243,0.0007119763,0.001336123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375819,"about_ca_system_score_gemma":0.0005423938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006323264,"about_ca_topic_score_gemma":0.001303982,"domain_scores_codex":[0.9986658,0.0008034531,0.00005856855,0.0001842659,0.000108883,0.0001790226],"domain_scores_gemma":[0.9934987,0.004917921,0.0003437013,0.0002929437,0.0006110441,0.0003357465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001215034,0.0005268747,0.0349165,0.001663472,0.00003339613,0.0007638069,0.8016589,0.000438812,0.04607049,0.001727851,0.005278376,0.1057064],"study_design_scores_gemma":[0.0002847659,0.003562422,0.08400664,0.0007503285,0.00008485967,0.001014721,0.818287,0.003712892,0.01761072,0.007382678,0.06311291,0.0001901538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679486,0.0002181347,0.01992023,0.0005636221,0.0001084504,0.001298349,0.0006507599,0.0002471519,0.00904467],"genre_scores_gemma":[0.9626969,0.0002051654,0.0304787,0.0004691695,0.00005508976,0.00324754,0.0002262166,0.00008621348,0.002534984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007901181,"threshold_uncertainty_score":0.0264321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3376792085664315,"score_gpt":0.458749206512764,"score_spread":0.1210699979463325,"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."}}