{"id":"W1920861631","doi":"","title":"Considerations for Acoustical Privacy within Commercial Tenant Space Fit-Outs","year":2015,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Obligation; Internet privacy; Privacy by Design; Space (punctuation); Set (abstract data type); Information privacy; Private information retrieval; Business; Privacy policy; Computer security; Computer science; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001763602,0.0001875505,0.0002091902,0.0001082426,0.0001762009,0.0001097747,0.0001236896,0.0001824301,0.00009000773],"category_scores_gemma":[0.001447893,0.0001640935,0.0000484519,0.0001133699,0.000103145,0.0001129823,0.00001726076,0.0002338989,0.00001955225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274648,"about_ca_system_score_gemma":0.001427083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986071,"about_ca_topic_score_gemma":0.01398525,"domain_scores_codex":[0.998897,0.0000189411,0.0002522218,0.0001742845,0.0001294516,0.0005281286],"domain_scores_gemma":[0.9983049,0.0002034238,0.00002144321,0.0003010805,0.0002865075,0.0008826158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001802352,0.00002300129,0.0007213558,0.0001505032,0.00007339568,0.00008111223,0.002660634,0.2489232,0.000913348,0.01189656,0.7333744,0.001164583],"study_design_scores_gemma":[0.001700231,0.0002763706,0.008897131,0.00003024305,0.0002417258,0.000114016,0.003063015,0.7637123,0.0002326274,0.1313884,0.08921574,0.001128147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.219062,0.0001657883,0.7501959,0.007413289,0.005340419,0.001955193,0.0009737821,0.0006720127,0.0142216],"genre_scores_gemma":[0.9771757,0.000001634825,0.02120767,0.0007103624,0.000374759,0.0000264971,0.00002696525,0.00004264695,0.0004338333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7581136,"threshold_uncertainty_score":0.7804096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578085610879198,"score_gpt":0.248594994957124,"score_spread":0.2128141388483321,"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."}}