{"id":"W2938588715","doi":"10.21105/joss.01272","title":"NeuroDSP: A package for neural digital signal processing","year":2019,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; National Science Foundation","keywords":"Computer science; Signal processing; Digital signal processing; Computer graphics (images); Computer hardware","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009035139,0.001706403,0.0009247252,0.001250119,0.0004540018,0.001252741,0.002387171,0.0007536156,0.1109961],"category_scores_gemma":[0.003960644,0.0009847085,0.001316541,0.0008861624,0.0004788954,0.001478657,0.001847146,0.002352373,0.05136493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004789782,"about_ca_system_score_gemma":0.001029444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424836,"about_ca_topic_score_gemma":0.002246824,"domain_scores_codex":[0.9993544,0.0000827633,0.0000714243,0.0001382969,0.0002940306,0.00005906923],"domain_scores_gemma":[0.9989622,0.0004173992,0.000070496,0.0001777501,0.0003074374,0.00006472359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003880468,0.00009295825,0.001384406,0.001833755,0.0002911159,0.0005457827,0.0003330249,0.01264737,0.01963371,0.02091442,0.7112874,0.230648],"study_design_scores_gemma":[0.0003943377,0.000135301,0.002627532,0.0003158218,0.0001204468,0.0009334881,0.00007080966,0.1303683,0.05148426,0.05577644,0.757529,0.0002443102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001364299,0.0002952357,0.6373762,0.0001909427,0.000243291,0.0002139954,0.02619877,0.3267745,0.007342713],"genre_scores_gemma":[0.03852163,0.001053744,0.6622229,0.001108192,0.0002204148,0.003272471,0.07948976,0.1775092,0.03660173],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1109961,"threshold_uncertainty_score":0.3713188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229693233721996,"score_gpt":0.2797655927625534,"score_spread":0.2474686604253334,"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."}}