{"id":"W2912986182","doi":"10.1063/1.5055245","title":"Thermal-wave resonant cavity signal processing","year":2019,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Natural Resources Canada","funders":"","keywords":"Thermal diffusivity; Amplitude; SIGNAL (programming language); Thermal; Curve fitting; Materials science; Diffusion; Noise (video); Position (finance); Standard deviation; Computational physics; Physics; Optics; Thermodynamics; Statistics; Mathematics; 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":[0.0006781969,0.0004806226,0.0003858377,0.0004235709,0.000214159,0.0003532576,0.0007386298,0.000463521,0.00244538],"category_scores_gemma":[0.001415836,0.0001533027,0.0003239707,0.000522311,0.0002988318,0.0006175125,0.0003125059,0.000423667,0.0008547454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193064,"about_ca_system_score_gemma":0.0004082005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000565654,"about_ca_topic_score_gemma":0.000576144,"domain_scores_codex":[0.999582,0.00005525714,0.00002103669,0.0001063946,0.0002026093,0.00003266193],"domain_scores_gemma":[0.9994403,0.0001786135,0.00006011869,0.00009348708,0.0002173453,0.00001009771],"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":[0.0001795995,0.00006786382,0.0006196554,0.0004416697,0.00001822775,0.0001059911,0.0001758445,0.01843659,0.8746243,0.003765613,0.000870899,0.1006937],"study_design_scores_gemma":[0.00001489223,0.0002367228,0.001263196,0.00002076814,0.00001613573,0.0001947576,0.0000388658,0.2895469,0.7009524,0.0009132646,0.006762456,0.00003967582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1421711,0.00033755,0.8525273,0.0001171188,0.00006675729,0.0001185818,0.0001759298,0.001392154,0.00309352],"genre_scores_gemma":[0.5485508,0.0004865258,0.4469393,0.00007225156,0.0000252123,0.0002799385,0.000386149,0.0001992811,0.003060402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00244538,"threshold_uncertainty_score":0.008180559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445536869126269,"score_gpt":0.231688337758251,"score_spread":0.2172329690669883,"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."}}