{"id":"W2908168383","doi":"10.1117/3.853623.ch48","title":"Noise-Equivalent Power","year":2010,"lang":"en","type":"book-chapter","venue":"SPIE eBooks","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Noise (video); Power (physics); Acoustics; Computer science; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002621246,0.001006755,0.0007435367,0.001141368,0.0004743198,0.001481069,0.001129086,0.0008922032,0.05261139],"category_scores_gemma":[0.0009318357,0.0003109139,0.0003807883,0.0008770909,0.0006878495,0.002174864,0.0009961938,0.001168506,0.02950379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005615266,"about_ca_system_score_gemma":0.0002268157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002125527,"about_ca_topic_score_gemma":0.0003190621,"domain_scores_codex":[0.9993582,0.00005039009,0.00002162859,0.0001725037,0.0003655747,0.00003157966],"domain_scores_gemma":[0.999729,0.00008210646,0.00001428561,0.00006527059,0.00009534012,0.00001394476],"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":[0.0001162101,0.0001053422,0.000446115,0.0005426501,0.0000480315,0.000319115,0.0002669994,0.01018763,0.06531268,0.4284327,0.05631718,0.4379053],"study_design_scores_gemma":[0.00001694022,0.0001195065,0.001723437,0.000229524,0.00007904547,0.002368426,0.0001791599,0.03252683,0.0664987,0.2551116,0.6410744,0.00007246685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004927706,0.004550884,0.2491093,0.0006319955,0.0013419,0.00006282903,0.0006358422,0.001557685,0.7371818],"genre_scores_gemma":[0.1833729,0.008830905,0.04395976,0.0008359648,0.001653967,0.0001690011,0.001874937,0.002096211,0.7572064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05261139,"threshold_uncertainty_score":0.1760026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756785149081579,"score_gpt":0.2264224398734256,"score_spread":0.2088545883826098,"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."}}