{"id":"W1891452865","doi":"","title":"Measurement of Speech Privacy of Closed Rooms Using ASTM E2638 and Setting Criteria in Terms of Speech Privacy Class","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Public Works and Government Services Canada","keywords":"Class (philosophy); Computer science; Speech recognition; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0053847,0.0006747144,0.0004716662,0.0025022,0.001055006,0.002018327,0.0009742935,0.001334077,0.003457616],"category_scores_gemma":[0.02313616,0.0003732074,0.0005962668,0.002088493,0.001316617,0.001487679,0.002372638,0.0008238594,0.002187392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137152,"about_ca_system_score_gemma":0.001019325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006228378,"about_ca_topic_score_gemma":0.008559909,"domain_scores_codex":[0.9884609,0.003622437,0.001527597,0.001156146,0.004669202,0.0005637583],"domain_scores_gemma":[0.9748941,0.01043866,0.003666495,0.001778232,0.008226433,0.000996142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003028562,0.001424499,0.7930137,0.0006327187,0.0002303824,0.0004629784,0.01666539,0.006344211,0.06921669,0.005806201,0.003702502,0.09947219],"study_design_scores_gemma":[0.0000590751,0.001588568,0.9221988,0.0001083497,0.00008208025,0.0003826948,0.008455371,0.01118041,0.04707705,0.001681787,0.006997999,0.0001876902],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9656957,0.000060228,0.01832669,0.00006444966,0.00003295957,0.0007316192,0.002514137,0.0001907933,0.01238349],"genre_scores_gemma":[0.9671728,0.00006954162,0.02388311,0.00007409434,0.00002297964,0.001442794,0.002810542,0.00007385743,0.004450307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006228378,"threshold_uncertainty_score":0.02847737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031588498503691,"score_gpt":0.295061995014701,"score_spread":0.2647461100296641,"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."}}