{"id":"W1689531023","doi":"","title":"Statistical basis for rating speech privacy of closed rooms","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Works and Government Services Canada","keywords":"Active listening; Noise (video); Acoustics; Microphone; Speech recognition; Loudspeaker; Octave (electronics); Background noise; Position (finance); Computer science; Mathematics; Psychology; Physics; Artificial intelligence; Communication","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":[0.006091713,0.0003570224,0.0003730189,0.002138763,0.0003897991,0.001305131,0.0004569192,0.0005150131,0.001782146],"category_scores_gemma":[0.04650138,0.0001827252,0.0005119865,0.0008836465,0.001051171,0.001214948,0.001139539,0.0006605312,0.0004113127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004311835,"about_ca_system_score_gemma":0.0003199839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008630315,"about_ca_topic_score_gemma":0.0006441385,"domain_scores_codex":[0.9933248,0.002250515,0.0007214516,0.0006675881,0.002813299,0.0002223661],"domain_scores_gemma":[0.933475,0.04475052,0.01040285,0.00374511,0.00648019,0.001146322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002704539,0.0004613404,0.803112,0.0002522119,0.0005742596,0.0004345218,0.002902261,0.02945521,0.03157113,0.005946447,0.0006002941,0.1219858],"study_design_scores_gemma":[0.00003746344,0.001774123,0.9064724,0.00007391167,0.0001342946,0.0009568869,0.002338208,0.06624646,0.01326593,0.007148349,0.00139633,0.0001556283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030097,0.0001961796,0.09116084,0.0001401045,0.00003214564,0.0001541305,0.0007653291,0.0001839804,0.004357544],"genre_scores_gemma":[0.9925126,0.00003823179,0.006910393,0.00001855781,0.00002090781,0.00003909791,0.0002441437,0.00001003912,0.0002061057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006091713,"threshold_uncertainty_score":0.03221643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128422315548382,"score_gpt":0.4272466626562716,"score_spread":0.3759624395007878,"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."}}