{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001167448,0.00009430886,0.0001226493,0.0002459563,0.001918763,0.0008806572,0.001467298,0.00004103707,0.00001451007],"category_scores_gemma":[0.000103681,0.0001066058,0.00001111513,0.000491862,0.00005107753,0.0005527464,0.000720054,0.0002330767,0.000002115959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640965,"about_ca_system_score_gemma":0.001961188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155836,"about_ca_topic_score_gemma":0.001015956,"domain_scores_codex":[0.9986066,0.0000386639,0.000150373,0.000375564,0.0002489368,0.0005798189],"domain_scores_gemma":[0.998983,0.0001288109,0.0000431453,0.0002975832,0.0001496005,0.0003978284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000204048,0.00004516534,0.001493521,0.0002280819,0.00004868067,0.000180807,0.007682924,0.001131139,0.03240006,0.1064998,0.04595604,0.8043134],"study_design_scores_gemma":[0.003368528,0.001859732,0.02933576,0.0005487945,0.00005966956,0.0004173617,0.01175383,0.3755589,0.01094643,0.1477026,0.4147868,0.003661583],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2278486,0.000659884,0.7584832,0.006621067,0.001604242,0.001328153,0.0001086707,0.0001236197,0.003222519],"genre_scores_gemma":[0.8845438,0.00001071852,0.1134961,0.001244896,0.00018955,0.0000876307,0.000006676179,0.00001754786,0.0004031377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8006518,"threshold_uncertainty_score":0.9993806,"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."}}