{"id":"W2897409004","doi":"10.1121/1.5067999","title":"Measuring with noise? We can do better!","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Reverberation; Acoustics; Noise (video); Computer science; Sound pressure; Transmission (telecommunications); Gaussian; Transmission loss; Telecommunications; Physics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01806768,0.003396974,0.002669555,0.003271564,0.004901934,0.01193504,0.003876724,0.009902013,0.0441603],"category_scores_gemma":[0.05829963,0.0008583054,0.001982162,0.002165911,0.01681021,0.033784,0.009224886,0.01792056,0.04556597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0030156,"about_ca_system_score_gemma":0.005631152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981025,"about_ca_topic_score_gemma":0.008526635,"domain_scores_codex":[0.9846603,0.005561518,0.0008691746,0.001650562,0.006337205,0.0009211939],"domain_scores_gemma":[0.9664061,0.01019661,0.001669478,0.006270617,0.01284219,0.002615051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001760268,0.0002238173,0.003657872,0.001964577,0.0001899914,0.0003829516,0.003808621,0.000415461,0.002461092,0.06453778,0.5495764,0.3726054],"study_design_scores_gemma":[0.00002470217,0.00014497,0.0009681698,0.002316745,0.00007415068,0.0004969845,0.004887751,0.000229358,0.001414882,0.06731684,0.921982,0.0001434412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002241583,0.08101285,0.03955648,0.7709352,0.05405599,0.0001907702,0.0005557926,0.002310817,0.04914052],"genre_scores_gemma":[0.05531785,0.1128099,0.1116664,0.5511771,0.03240921,0.0007618115,0.001183328,0.003473138,0.1312012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0441603,"threshold_uncertainty_score":0.1477309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880710519893332,"score_gpt":0.2533717358358744,"score_spread":0.2345646306369411,"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."}}