{"id":"W819449210","doi":"10.1016/j.snb.2015.07.006","title":"Methane sensing at room temperature using photothermal cantilever deflection spectroscopy","year":2015,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Alberta","funders":"Université de Bourgogne; Carbon Management Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Cantilever; Photothermal therapy; Deflection (physics); Materials science; Photothermal spectroscopy; Spectroscopy; Methane; Optics; Analytical Chemistry (journal); Optoelectronics; Nanotechnology; Composite material; Chemistry; Physics; Environmental chemistry","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":[0.000111763,0.0002311762,0.0002814433,0.00003596048,0.00009195788,0.00005023418,0.00005995042,0.0001282902,0.0002911561],"category_scores_gemma":[0.00002509391,0.0001857402,0.00009727675,0.0001418513,0.00006271337,0.00007865912,0.00008770943,0.0002870114,0.0000230772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000876308,"about_ca_system_score_gemma":0.00005590267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002372152,"about_ca_topic_score_gemma":0.00000266179,"domain_scores_codex":[0.9987661,0.00003945763,0.0002019488,0.0003584017,0.0002433405,0.0003907948],"domain_scores_gemma":[0.9992346,0.00006199329,0.00006036658,0.0001456687,0.00005636135,0.0004410538],"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":[0.0001294816,0.00005004762,0.001845839,0.000009641091,0.00004990604,0.000009482667,0.0001592677,0.0000098572,0.9937531,0.001391213,0.0004624323,0.002129672],"study_design_scores_gemma":[0.0005908101,0.00003010017,0.00003848698,0.00002242768,0.00004280612,0.00002056167,0.0001527341,0.005460438,0.9892758,0.002053778,0.002026467,0.0002855978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974648,0.00004173766,0.0006557427,0.00008609104,0.0001586465,0.0001040747,0.00001491784,0.00003647269,0.001437522],"genre_scores_gemma":[0.9949161,0.00000189899,0.004173368,0.00009180746,0.0004912567,0.000001048974,0.00001177171,0.00002951151,0.0002831925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005450581,"threshold_uncertainty_score":0.7574264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835695516963728,"score_gpt":0.2607295531886287,"score_spread":0.2423725980189914,"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."}}