{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591852,0.0001267785,0.0001628334,0.0001976939,0.000276682,0.00006907632,0.0002115042,0.0002001426,0.0002157608],"category_scores_gemma":[0.00006638319,0.0001201755,0.00001280983,0.000255982,0.0005649668,0.001963961,0.000300102,0.0002154424,0.000005298137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001175025,"about_ca_system_score_gemma":0.0000494452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001914238,"about_ca_topic_score_gemma":0.00001580036,"domain_scores_codex":[0.9987217,0.0000342954,0.0002856269,0.0004799783,0.0001925175,0.0002859474],"domain_scores_gemma":[0.9994887,0.00002891463,0.0001018181,0.0002423154,0.000006190879,0.0001320227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009779045,0.00002943459,0.9816859,0.000004606228,0.000003636171,0.00005724124,0.006390975,1.92508e-7,0.001038844,0.007111078,0.00003104135,0.003637286],"study_design_scores_gemma":[0.0000718921,0.0001099487,0.9380692,0.00009016943,0.00000416456,0.00005173645,0.003165959,0.000002373781,0.007070682,0.007267113,0.04381905,0.0002777712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873837,0.0002828688,0.00001143689,0.007080713,0.0001488797,0.0005561952,0.000001348702,0.0001733466,0.004361496],"genre_scores_gemma":[0.9951859,0.000149214,0.001392277,0.0007117027,0.0001034619,0.0001639613,0.000001359533,0.00001868817,0.002273401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04378801,"threshold_uncertainty_score":0.4900616,"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."}}