{"id":"W2775290990","doi":"","title":"Challenges in Intelligibility Analysis of Public Address and Emergency Notifications Systems","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Intelligibility (philosophy); Public address system; Computer science; Project commissioning; Engineering; Publishing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01507695,0.0009805771,0.001074218,0.002926438,0.0009387214,0.006329791,0.001503013,0.001512284,0.002249183],"category_scores_gemma":[0.06210901,0.0003963023,0.0005856974,0.00132339,0.001626148,0.003479239,0.001803766,0.001284373,0.001190392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145505,"about_ca_system_score_gemma":0.002080505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007630733,"about_ca_topic_score_gemma":0.005739722,"domain_scores_codex":[0.9814109,0.006559961,0.00174482,0.0009871757,0.008812621,0.000484482],"domain_scores_gemma":[0.9564656,0.02563095,0.001876212,0.001591637,0.01384461,0.0005909853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009784533,0.0004603819,0.03301412,0.002498754,0.0002391516,0.001346967,0.009842165,0.03290203,0.06197613,0.01931561,0.008572262,0.828854],"study_design_scores_gemma":[0.0001871606,0.002858884,0.1863326,0.002972352,0.0004740567,0.005221291,0.04285624,0.3703021,0.1226315,0.1364286,0.1286744,0.00106098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4116329,0.01038406,0.5113571,0.01488606,0.001041253,0.000669249,0.001346249,0.002307061,0.0463761],"genre_scores_gemma":[0.8110848,0.003109259,0.1778845,0.0006756181,0.0004108455,0.0002218127,0.0008072444,0.0003644385,0.005441454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01507695,"threshold_uncertainty_score":0.07973546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15576764584894,"score_gpt":0.3443170108358182,"score_spread":0.1885493649868782,"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."}}