{"id":"W2050363699","doi":"10.1364/ao.48.002735","title":"Recording the sound of musical instruments with FBGs: the photonic pickup","year":2009,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Guitar; Acoustics; Pickup; Transducer; Materials science; Vibration; Acoustic attenuation; Piezoelectricity; Optics; Attenuation; Physics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008656828,0.0001507764,0.0001550813,0.00002375575,0.00008100618,0.00002215408,0.000250434,0.00005554881,0.00001220535],"category_scores_gemma":[0.00001034028,0.00008661894,0.00003142606,0.0002086763,0.0001040467,0.00003955363,0.00002324189,0.0002596024,0.00001699235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004476506,"about_ca_system_score_gemma":0.00001042228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002041411,"about_ca_topic_score_gemma":0.00000500834,"domain_scores_codex":[0.9992331,0.000006016944,0.0001924398,0.0001285859,0.0001909368,0.0002489348],"domain_scores_gemma":[0.9993529,0.0001146317,0.0000473588,0.0004296156,0.00001983834,0.00003571287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002581777,0.0002149965,0.0005109641,0.0001113939,0.0006286681,0.0000182534,0.01008747,0.5957656,0.04928684,0.1977165,0.0009221742,0.1444789],"study_design_scores_gemma":[0.01338928,0.002096768,0.02404358,0.0005203907,0.001488191,0.0004610416,0.02015217,0.4971764,0.2296875,0.1666199,0.0389309,0.005433825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725276,0.00003216397,0.006181342,0.0001390754,0.0001198078,0.0003140861,0.000001992069,0.0001114993,0.02057249],"genre_scores_gemma":[0.9862313,0.00003304905,0.01342271,0.0001672976,0.00006429636,0.00001340561,0.000001827793,0.00002875441,0.00003731615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1804007,"threshold_uncertainty_score":0.3532218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009421481051892873,"score_gpt":0.2066256899718732,"score_spread":0.1972042089199804,"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."}}