{"id":"W2339361121","doi":"10.1063/1.4942251","title":"Optical transparency of paper as a function of moisture content with applications to moisture measurement","year":2016,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Water content; Softwood; Transparency (behavior); Hardwood; Materials science; Moisture; Refractive index; Kraft paper; Composite material; Absorption of water; Papermaking; Process engineering; Pulp and paper industry; Environmental science; Computer science; Optoelectronics; Geotechnical engineering; Geology; Engineering; Botany","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":[0.000349887,0.0001043617,0.0002646169,0.0000668107,0.00002845556,0.000006653314,0.0001081058,0.00004165854,0.00008976112],"category_scores_gemma":[0.00002925121,0.00006072577,0.00008862551,0.0004028335,0.0001009623,0.00007558744,0.000009963846,0.00004683504,0.00002260553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005715272,"about_ca_system_score_gemma":0.00002369764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006048466,"about_ca_topic_score_gemma":0.00001312116,"domain_scores_codex":[0.99872,0.00001349499,0.0004177699,0.0001819351,0.0005290401,0.0001377706],"domain_scores_gemma":[0.9992275,0.000006509402,0.00007704102,0.0002677306,0.0003327211,0.00008845616],"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":[0.00002960328,0.0001286714,0.0003684106,0.005927415,0.000113573,2.111197e-7,0.00003290458,0.000007001928,0.6018624,0.001763307,0.0002068228,0.3895596],"study_design_scores_gemma":[0.002564812,0.001452433,0.07546984,0.08147353,0.001135837,0.00001703421,0.00017562,0.000126245,0.7572895,0.0008403779,0.07855996,0.0008948394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939534,0.01173091,0.03448045,0.001214212,0.0008439929,0.003328138,0.0001907969,0.0001125624,0.008564931],"genre_scores_gemma":[0.9975861,0.001752798,0.0004650727,0.00002835788,0.00001153526,0.00004354097,0.000003968236,0.000008226372,0.0001004413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3886648,"threshold_uncertainty_score":0.2476325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933543466045469,"score_gpt":0.229915631815945,"score_spread":0.2005801971554903,"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."}}