{"id":"W2098034480","doi":"10.1139/x05-161","title":"Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North Carolina Agricultural Research Service, North Carolina State University; Agricultural Research Service; North Carolina State University; U.S. Department of Energy","keywords":"Lignin; Cellulose; Fiber; Calibration; Materials science; Spectroscopy; Transmittance; Near-infrared spectroscopy; Content (measure theory); Analytical Chemistry (journal); Composite material; Chemistry; Mathematics; Optics; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401766,0.0001137661,0.0002067771,0.0003843361,0.0001636203,0.00008765636,0.0002236872,0.0000703209,0.0001116091],"category_scores_gemma":[0.00004410896,0.00009168168,0.00007650797,0.0003400925,0.0002069621,0.0003491628,0.000004720192,0.0003728413,0.000009025918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739186,"about_ca_system_score_gemma":0.0009050746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369611,"about_ca_topic_score_gemma":0.0187225,"domain_scores_codex":[0.9987194,0.00005092601,0.0003521705,0.00007912793,0.0003446881,0.0004537114],"domain_scores_gemma":[0.9991456,0.00002000827,0.00004151712,0.0001458124,0.0003063024,0.0003407983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008855337,0.000254099,0.3744902,0.001413758,0.001588863,0.0006496118,0.02171833,0.3055958,0.2497485,0.0007759539,0.02380059,0.0190788],"study_design_scores_gemma":[0.005465301,0.003681535,0.1265551,0.002856476,0.0001921568,0.0007211606,0.001312394,0.09832054,0.6680413,0.0017596,0.09026856,0.0008258428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889147,0.007036419,0.0001820989,0.0002464653,0.0001450572,0.0001522936,0.00002319048,0.00001284017,0.003286952],"genre_scores_gemma":[0.997468,0.0001607225,0.001750194,0.000005153145,0.0002822313,0.000002916963,0.000001689159,0.00002822037,0.00030085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4182928,"threshold_uncertainty_score":0.9991832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06896002767492898,"score_gpt":0.2634812800711573,"score_spread":0.1945212523962283,"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."}}