{"id":"W7008443047","doi":"","title":"BRAMSBioBox: Developing an open research platform for audio and biosignals monitoring","year":2022,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Centre for Research on Brain, Language and Music","keywords":"Software; Ranging; Open source; Data acquisition; Open source software; Cognitive systems","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002792072,0.001623951,0.001539294,0.002237511,0.000781177,0.002151825,0.004482521,0.001906584,0.03680541],"category_scores_gemma":[0.003631638,0.001030773,0.0008667429,0.0009489091,0.0008536808,0.003319536,0.004887272,0.002147925,0.02480781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227102,"about_ca_system_score_gemma":0.00153718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344874,"about_ca_topic_score_gemma":0.001221181,"domain_scores_codex":[0.9982989,0.0001418323,0.00008519217,0.0004274698,0.000881586,0.0001649886],"domain_scores_gemma":[0.9981797,0.0004076833,0.0001672858,0.0003704954,0.0004909039,0.0003838558],"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":[0.004236574,0.0005951209,0.002987539,0.001676414,0.000379405,0.001076378,0.0009920414,0.00422375,0.4018749,0.02686534,0.1671209,0.3879716],"study_design_scores_gemma":[0.0006928643,0.0009338329,0.0054201,0.0004149389,0.0002140582,0.001184487,0.0001996707,0.079241,0.2301852,0.0215918,0.6594561,0.000465917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01196479,0.001207474,0.7423992,0.0006782286,0.0008994765,0.001173058,0.006057979,0.2156962,0.01992358],"genre_scores_gemma":[0.1243843,0.001828806,0.7537825,0.001600684,0.0008103981,0.005119789,0.0242287,0.03678846,0.0514565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9955175,"threshold_uncertainty_score":0.1231264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2218847409593085,"score_gpt":0.3826011198999342,"score_spread":0.1607163789406257,"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."}}