{"id":"W2092581039","doi":"10.1103/physreve.84.041917","title":"Wavelength-modulated differential photothermal radiometry: Theory and experimental applications to glucose detection in water","year":2011,"lang":"en","type":"article","venue":"Physical Review E","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Photothermal therapy; Analyte; Materials science; Radiometry; Wavelength; Sensitivity (control systems); Absorption (acoustics); Optics; Optoelectronics; Chemistry; Chromatography; Nanotechnology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001451143,0.0001125592,0.0001604817,0.00003591499,0.00002838727,0.00000590101,0.0001437105,0.00005414347,0.0001368521],"category_scores_gemma":[0.00004288642,0.0000773627,0.00005619096,0.0001348165,0.00009862305,0.000002885244,0.0001533581,0.0001115965,0.00001915167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002014851,"about_ca_system_score_gemma":0.00000614775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001028905,"about_ca_topic_score_gemma":0.000001044695,"domain_scores_codex":[0.9991648,0.00006947731,0.0001326219,0.0002891213,0.0001222562,0.0002217725],"domain_scores_gemma":[0.9996188,0.00001222684,0.0000148727,0.0002021779,0.00001839169,0.0001335227],"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":[0.00009281397,0.0002232952,0.000009218843,0.0000574592,0.000009927549,6.282546e-7,0.00003264271,4.003351e-9,0.9651207,0.000186092,0.00003008238,0.03423715],"study_design_scores_gemma":[0.0001518212,0.0002095088,0.0001962498,0.00005191862,0.000007678909,0.000002679282,0.000004635747,0.00002384564,0.9927188,0.001053542,0.00547019,0.0001091803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994197,0.002035503,0.002467154,0.00003376353,0.00001376979,0.0004714201,0.00000307008,0.00001713055,0.0007611711],"genre_scores_gemma":[0.9972354,0.001670625,0.0001872237,0.0003006127,0.00010444,0.0004204709,0.0000233431,0.0000139819,0.00004394744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03412797,"threshold_uncertainty_score":0.3154759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376455265702673,"score_gpt":0.3338030379592175,"score_spread":0.3200384853021908,"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."}}