{"id":"W2024992341","doi":"10.1007/s00340-014-5969-9","title":"Cavity-enhanced photoacoustic detection using acoustic and fiber-optic resonators","year":2014,"lang":"en","type":"article","venue":"Applied Physics B","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Resonator; Photoacoustic imaging in biomedicine; Transducer; SIGNAL (programming language); Optical fiber; Photoacoustic effect; Optics; Acoustics; Ultrasonic sensor; Amplitude; Laser; Optoelectronics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377148,0.0004630015,0.0003821739,0.0002326657,0.0002449903,0.0004734712,0.0008936079,0.0007311393,0.001852265],"category_scores_gemma":[0.000745933,0.0003166026,0.0002715424,0.0001735382,0.0005868398,0.0009381263,0.0006042317,0.0005026696,0.0005580758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425001,"about_ca_system_score_gemma":0.0004219042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510997,"about_ca_topic_score_gemma":0.001733157,"domain_scores_codex":[0.9996556,0.00004968486,0.000009430341,0.0001007749,0.0001356173,0.00004887782],"domain_scores_gemma":[0.9996081,0.0001951272,0.0000617147,0.00003529743,0.00006868233,0.00003115783],"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":[0.00007597603,0.00001498363,0.0001138413,0.00003488365,0.000004042665,0.00003508781,0.00003416884,0.0002395746,0.9957913,0.0006466609,0.00008082016,0.002928634],"study_design_scores_gemma":[0.00002760159,0.0001169837,0.0007193295,0.000004594092,0.000007745079,0.0001524769,0.00001724365,0.01133362,0.985851,0.0002161656,0.001533298,0.00001997487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978491,0.001555037,0.09208619,0.0004749747,0.0001616669,0.00009973982,0.0001036487,0.0005547412,0.00711495],"genre_scores_gemma":[0.9298009,0.0003965079,0.06281985,0.00007626903,0.00005387806,0.00004000282,0.00005776811,0.00004504952,0.006709736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001852265,"threshold_uncertainty_score":0.006196499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006114613114766797,"score_gpt":0.1931244308086837,"score_spread":0.1870098176939169,"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."}}