{"id":"W3210188423","doi":"","title":"Chapter 3. Raspberry Pi and Arduino Prototype: Measuring and Displaying Noise Levels to Enhance User Experience in an Academic Library","year":2018,"lang":"en","type":"article","venue":"Library Technology Reports","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Computer science; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006552206,0.0006628361,0.0004081133,0.0005263853,0.0008034253,0.001139057,0.001049664,0.001064843,0.03585698],"category_scores_gemma":[0.001669967,0.0005140682,0.0006169648,0.000387352,0.0003019339,0.0008294584,0.0006212276,0.0007248842,0.005214545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849662,"about_ca_system_score_gemma":0.0009081388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509128,"about_ca_topic_score_gemma":0.004132804,"domain_scores_codex":[0.9994633,0.00006580971,0.00003210056,0.00007830583,0.00032078,0.00003988338],"domain_scores_gemma":[0.9994245,0.0002036482,0.00001718753,0.0000454874,0.0002625667,0.00004673979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006406659,0.002645073,0.002818066,0.002840763,0.00004644655,0.001327326,0.008090147,0.005444071,0.1736189,0.005949914,0.2111194,0.5854593],"study_design_scores_gemma":[0.0003094194,0.004628242,0.03345278,0.00124868,0.000151729,0.00251347,0.004584206,0.02076362,0.2337663,0.00322556,0.6950081,0.0003479563],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3001832,0.003836877,0.3096832,0.00820263,0.002926893,0.01313462,0.005412185,0.03123388,0.3253865],"genre_scores_gemma":[0.3228587,0.004107395,0.275334,0.002784098,0.0003245134,0.007935485,0.002827641,0.002061917,0.3817661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03585698,"threshold_uncertainty_score":0.1199536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423311624584323,"score_gpt":0.3464956021587559,"score_spread":0.3122624859129127,"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."}}