{"id":"W3135445802","doi":"10.3389/frobt.2022.854444","title":"ODAS: Open embeddeD Audition System","year":2022,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Robot; Open source; Human–computer interaction; Computation; Key (lock); Artificial intelligence; Embedded system; Operating system; Software; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004169851,0.0005793776,0.0004565156,0.0005524873,0.0004009039,0.001174248,0.001272697,0.0005595965,0.0128953],"category_scores_gemma":[0.001208007,0.000265952,0.0003000763,0.0002723405,0.0005232672,0.001121875,0.002769885,0.0008771076,0.00450587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503976,"about_ca_system_score_gemma":0.0009720714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618618,"about_ca_topic_score_gemma":0.00146789,"domain_scores_codex":[0.9995891,0.00003896865,0.00003764985,0.00007721742,0.0001797687,0.00007722589],"domain_scores_gemma":[0.9995704,0.00006268574,0.00004528453,0.00009963961,0.0001135178,0.0001084007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005315554,0.0005421549,0.008066168,0.001211382,0.0001602787,0.001353186,0.0009991871,0.02954648,0.135835,0.05184697,0.1374892,0.6276343],"study_design_scores_gemma":[0.0006961296,0.0009066761,0.0058427,0.0002361889,0.0001528022,0.001127108,0.0003017251,0.3520766,0.1047162,0.02708741,0.5066058,0.0002506501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09061097,0.001208225,0.5911772,0.0009670416,0.0009488331,0.001218049,0.004551386,0.235521,0.07379738],"genre_scores_gemma":[0.7863722,0.0006598079,0.1608255,0.0009537142,0.00021518,0.0007920565,0.005350579,0.002290095,0.04254087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0128953,"threshold_uncertainty_score":0.0431391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105456468833848,"score_gpt":0.2369479030030849,"score_spread":0.2264022561197001,"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."}}