{"id":"W2170318131","doi":"10.1139/x11-088","title":"Potential of near-infrared spectroscopy to characterize wood products<sup>1</sup>This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy.","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Abies balsamea; Western Hemlock; Tsuga; Thuja; Balsam; Abies lasiocarpa; Environmental science; Botany; Yellow birch; Jack pine; Forestry; Water content; Abies alba; Horticulture; Pinus contorta; Hardwood; Picea abies; Biology; Pinus <genus>; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009390638,0.0001157738,0.0001908847,0.0002113673,0.00016051,0.0001121461,0.0003759169,0.00007654068,0.00007813128],"category_scores_gemma":[0.0002891553,0.00006377006,0.00003601659,0.0005397771,0.0002060811,0.0002192353,0.00002826097,0.0005043044,0.00001041166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008716498,"about_ca_system_score_gemma":0.0006414421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006232708,"about_ca_topic_score_gemma":0.01279995,"domain_scores_codex":[0.998773,0.0001316519,0.0003130109,0.0001159787,0.0002337031,0.0004326492],"domain_scores_gemma":[0.9990456,0.00004170281,0.00005664908,0.0003039083,0.000309246,0.0002429485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002036748,0.0001872801,0.7023873,0.0002754897,0.0007575887,0.0002963085,0.1962327,0.006857574,0.04249519,0.003015934,0.03767997,0.007777883],"study_design_scores_gemma":[0.0009363851,0.001764385,0.6637249,0.000229175,0.00005867174,0.0002497535,0.007234321,0.0005715904,0.2889054,0.001867598,0.03421847,0.000239396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873207,0.0007844163,0.000002317696,0.0109158,0.00005263475,0.0005970012,0.00003389758,0.00000330014,0.0002899111],"genre_scores_gemma":[0.999365,0.00002989991,0.0001474415,0.00004061183,0.0001902253,0.0000142838,0.000001863732,0.00001459769,0.0001961158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464102,"threshold_uncertainty_score":0.9422032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543551555422949,"score_gpt":0.2317922374062822,"score_spread":0.2063567218520528,"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."}}