{"id":"W3108074902","doi":"10.1109/ccece47787.2020.9255780","title":"Low Power Data Acquisition System for Noise Pollution Monitoring","year":2020,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Implementation; Noise (video); Data acquisition; The Internet; Power (physics); Wake; Real-time computing; Engineering; 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":[0.0002583385,0.0004402639,0.0003799344,0.0006403759,0.000487206,0.0006518203,0.001164212,0.0004817438,0.01590547],"category_scores_gemma":[0.000729169,0.0001725551,0.0001538855,0.0004208696,0.0001631262,0.0006941556,0.000422186,0.0004923076,0.004137269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000353743,"about_ca_system_score_gemma":0.0003549757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004974908,"about_ca_topic_score_gemma":0.0008337963,"domain_scores_codex":[0.9994997,0.00007047866,0.00002302555,0.0001238011,0.0002474512,0.00003553054],"domain_scores_gemma":[0.9995862,0.00009823765,0.00003861863,0.00006100233,0.0001839428,0.00003204401],"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":[0.0007973986,0.0003679064,0.003986924,0.0005285321,0.00004972916,0.0003131386,0.0002819323,0.001486458,0.6864085,0.003025973,0.01370731,0.2890461],"study_design_scores_gemma":[0.0003624371,0.002812898,0.01624643,0.0001538337,0.0002226029,0.002445188,0.000242586,0.1069635,0.7429532,0.002687259,0.1247825,0.0001276363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2186771,0.001652757,0.7221971,0.001384122,0.000881119,0.0009076897,0.001878914,0.01897251,0.03344875],"genre_scores_gemma":[0.84883,0.0005026238,0.1170748,0.001059143,0.0002347547,0.0004172295,0.0008862074,0.000268419,0.03072675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01590547,"threshold_uncertainty_score":0.05320913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600242636141202,"score_gpt":0.231148779882768,"score_spread":0.195146353521356,"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."}}