{"id":"W1984916825","doi":"10.1121/1.4785440","title":"Design and performance of a micro-probe microphone","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microphone; French horn; Casing; Acoustics; Ranging; Measure (data warehouse); Physics; Tube (container); Space (punctuation); Materials science; Sound pressure; Computer science; Telecommunications; Composite material","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":[0.0009151493,0.001055954,0.001027,0.0004468049,0.0005928815,0.0009478655,0.002164348,0.002393633,0.005286559],"category_scores_gemma":[0.001831823,0.0007306273,0.0005180444,0.0003227431,0.000374514,0.001141103,0.0008711772,0.0006378231,0.003104398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009453461,"about_ca_system_score_gemma":0.001350211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124987,"about_ca_topic_score_gemma":0.0007898223,"domain_scores_codex":[0.9988709,0.0001390073,0.00006735147,0.0003301331,0.0004977977,0.00009466692],"domain_scores_gemma":[0.9986527,0.000331507,0.0001047274,0.0001215934,0.0006217072,0.0001677047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001066526,0.000140347,0.001947814,0.0007809747,0.00008302534,0.0004655228,0.0002751556,0.008995345,0.8921936,0.004936439,0.003991263,0.08512389],"study_design_scores_gemma":[0.0002688899,0.004095861,0.005544672,0.0001077287,0.000236334,0.003251865,0.000146964,0.1218046,0.7848671,0.001134991,0.07824973,0.0002911885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06905049,0.001445679,0.9108588,0.001130069,0.0006767748,0.0009401162,0.0005859277,0.005090163,0.010222],"genre_scores_gemma":[0.3716636,0.0007805664,0.6125755,0.0004821713,0.000157505,0.0007181632,0.0003889574,0.0002355393,0.01299802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005286559,"threshold_uncertainty_score":0.01768523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099811660789026,"score_gpt":0.2229556872694117,"score_spread":0.2119575706615214,"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."}}