{"id":"W4380302739","doi":"10.21203/rs.3.rs-3035589/v1","title":"Optical Measurement of Paper Moisture Content with Application in Paper Pressing","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Moisture; Molar absorptivity; Pressing; Materials science; Environmental science; Reflectivity; Intensity (physics); Range (aeronautics); Optics; Remote sensing; Composite material; Physics; Engineering; Geology; Geotechnical engineering","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":[0.001277383,0.0001933332,0.0003175756,0.0001661072,0.00005587997,0.0001361238,0.0002661114,0.0002394057,0.00004084687],"category_scores_gemma":[0.000109442,0.000146031,0.00004360929,0.0002054082,0.0000900094,0.0001052809,0.0002981709,0.0008575263,0.00001530751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640421,"about_ca_system_score_gemma":0.00012136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007835938,"about_ca_topic_score_gemma":0.0004455394,"domain_scores_codex":[0.997678,0.00009898237,0.000355523,0.0003386973,0.001113939,0.0004148497],"domain_scores_gemma":[0.9988971,0.00004707108,0.00003842221,0.0004314341,0.0005037971,0.00008211685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006712895,0.0002348587,0.004780638,0.0469359,0.0002792237,0.00005476156,0.002637408,0.1561324,0.7319949,0.0008796206,0.001347216,0.05405177],"study_design_scores_gemma":[0.005788171,0.001260099,0.3828039,0.07982104,0.0001961083,0.00002013974,0.007128771,0.1485004,0.3227254,0.009850522,0.03744188,0.004463485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142898,0.02200498,0.02066442,0.003253698,0.001025379,0.008395634,0.0001570338,0.001311474,0.02889755],"genre_scores_gemma":[0.9985028,0.0002896581,0.0004516699,0.000006565771,0.0001270808,0.0004344594,0.00002991576,0.00007283158,0.00008503054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4092695,"threshold_uncertainty_score":0.595497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.137019823588926,"score_gpt":0.3276349143440682,"score_spread":0.1906150907551421,"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."}}