{"id":"W2170682429","doi":"10.1364/ao.48.006541","title":"Simultaneous composition and thickness measurement of paper using terahertz time-domain spectroscopy","year":2009,"lang":"en","type":"article","venue":"Applied Optics","topic":"Terahertz technology and applications","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada); Simon Fraser University","funders":"","keywords":"Monte Carlo method; Optics; Spectroscopy; Materials science; Terahertz radiation; Terahertz spectroscopy and technology; Time domain; Transmission (telecommunications); Terahertz time-domain spectroscopy; Physics; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006902031,0.0001093969,0.000138217,0.00003957227,0.00005841472,0.00001107274,0.00007610335,0.0001052625,0.000009576815],"category_scores_gemma":[0.000002430366,0.0001148015,0.00001373868,0.00009507178,0.00005040317,0.00002882428,0.00001093348,0.0001211157,0.000008911732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004265231,"about_ca_system_score_gemma":0.000005844054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.000228e-7,"about_ca_topic_score_gemma":6.163472e-7,"domain_scores_codex":[0.9994798,0.000004312976,0.0001589066,0.0001120135,0.0001079335,0.0001370074],"domain_scores_gemma":[0.9997169,0.0000252379,0.00002792505,0.0001739321,0.00002752889,0.00002849112],"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":[0.000008048073,0.00004387201,0.000005009783,0.00001231982,0.00001681823,0.00000134763,0.00008221398,0.003050147,0.9781201,0.007956489,0.00002321856,0.01068044],"study_design_scores_gemma":[0.001175074,0.000113494,0.000340368,0.00007189,0.0001118656,0.0000512983,0.0001106541,0.1920291,0.7812684,0.02134798,0.002811685,0.0005682664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875684,0.000206009,0.1180212,0.0001739826,0.00003047545,0.0003216582,0.000006717744,0.0003582568,0.00519762],"genre_scores_gemma":[0.918516,0.00002008999,0.08135445,0.0000616449,0.00002156532,0.000006281352,0.000004374534,0.00001289015,0.000002730776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968517,"threshold_uncertainty_score":0.4681471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007259420284071587,"score_gpt":0.2095143949423321,"score_spread":0.2022549746582606,"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."}}