{"id":"W4391824156","doi":"10.1101/2024.02.13.580071","title":"The Lab Streaming Layer for Synchronized Multimodal Recording","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Layer (electronics); Computer science; Application layer; Streaming current; Operating system; Materials science; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001660309,0.0006238748,0.0005938776,0.0002422633,0.0005471755,0.001940701,0.002207704,0.000502358,0.000004292587],"category_scores_gemma":[0.0005470103,0.0005090609,0.0003615404,0.0005875641,0.00009000374,0.0002188712,0.002010934,0.0008478967,0.0001718269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520561,"about_ca_system_score_gemma":0.001060283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790202,"about_ca_topic_score_gemma":0.0000176809,"domain_scores_codex":[0.9961999,0.0001796499,0.0007033287,0.001473125,0.0004822903,0.0009617134],"domain_scores_gemma":[0.9960207,0.0005710089,0.0003921166,0.002238524,0.0004944046,0.0002831979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002380674,0.0003768736,0.0019573,0.004751263,0.002037553,0.0004565722,0.000257036,0.0005648044,0.8246168,0.1388626,0.02485544,0.00102564],"study_design_scores_gemma":[0.004649833,0.0004411383,0.007605521,0.005065516,0.0005629975,3.258803e-7,0.00004124597,0.3294241,0.5033739,0.001175335,0.1414382,0.006221933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.424441,0.02099393,0.474349,0.005369413,0.05905017,0.008264487,0.0008828249,0.006441333,0.0002078715],"genre_scores_gemma":[0.9599709,0.0001124629,0.03727253,0.0001051161,0.001591091,0.0007876915,2.643464e-7,0.0001277763,0.00003219495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5355299,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713153649727142,"score_gpt":0.236911492513648,"score_spread":0.2197799560163766,"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."}}