{"id":"W2079166477","doi":"10.1039/b806068a","title":"Fiber Bragg grating photoacoustic detector for liquid chromatography","year":2008,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detection limit; Materials science; Repeatability; Fiber Bragg grating; Transducer; Photoacoustic effect; Detector; Optics; Laser; Chromatography; Chemistry; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001921655,0.001359904,0.001289256,0.002313737,0.0008884337,0.0008706353,0.001995762,0.002098854,0.01471307],"category_scores_gemma":[0.002261992,0.0008749457,0.0005872796,0.001940839,0.0005795673,0.001127791,0.0008990368,0.002395373,0.01389974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306149,"about_ca_system_score_gemma":0.00124507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183725,"about_ca_topic_score_gemma":0.001948872,"domain_scores_codex":[0.99656,0.0008139345,0.000160018,0.000550857,0.001750722,0.0001644256],"domain_scores_gemma":[0.9987009,0.000376227,0.000120529,0.000128991,0.0005891735,0.00008417084],"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":[0.0001932521,0.0001543318,0.0006028812,0.0008479341,0.00007079475,0.0002099637,0.00006036128,0.0005152158,0.8421468,0.005627524,0.01652011,0.1330509],"study_design_scores_gemma":[0.00008960389,0.0003290964,0.001570459,0.0002095298,0.00008796336,0.001743012,0.00004742476,0.02091206,0.7835504,0.002770605,0.1885642,0.0001256145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01227699,0.01616692,0.9381616,0.001296653,0.001313447,0.0008851063,0.001417924,0.007720271,0.02076111],"genre_scores_gemma":[0.05197746,0.007824765,0.909815,0.001342719,0.000244627,0.001436811,0.001891311,0.0003599381,0.02510731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01471307,"threshold_uncertainty_score":0.04922014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398958291893982,"score_gpt":0.2197664078683965,"score_spread":0.2057768249494567,"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."}}