{"id":"W2215401745","doi":"10.5558/tfc2013-112","title":"Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer","year":2013,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; FPInnovations; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Spectrometer; Water content; Near-infrared spectroscopy; Black spruce; Specific gravity; Moisture; Mold; Environmental science; Remote sensing; Chemistry; Materials science; Meteorology; Geology; Mineralogy; Physics; Optics; Taiga; Geotechnical engineering; Composite material; Forestry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001868,0.0002778079,0.0001705461,0.0001983581,0.0001440555,0.000130304,0.0002231779,0.0001866964,0.000435135],"category_scores_gemma":[0.0002229882,0.00008873764,0.0001706193,0.0001119851,0.00009740105,0.0001782538,0.00008496881,0.0001240012,0.0001030399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009886967,"about_ca_system_score_gemma":0.0001033722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369245,"about_ca_topic_score_gemma":0.005867168,"domain_scores_codex":[0.9999152,0.00001170512,0.00000294653,0.00002400519,0.00003943425,0.000006580616],"domain_scores_gemma":[0.9998908,0.00004622052,0.00001861155,0.00001036494,0.00002733306,0.000006732627],"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":[0.0002719016,0.0001409867,0.04459392,0.0000634657,0.00004030138,0.00007010148,0.0001740076,0.002892678,0.923788,0.00002982252,0.00006671419,0.02786822],"study_design_scores_gemma":[0.00002032105,0.001200387,0.3495493,0.00001021524,0.00009227061,0.0003059517,0.0002473866,0.05558619,0.5922352,0.0000805064,0.0006392463,0.000033053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957067,0.00004894923,0.003928403,0.000004662323,0.000002711964,0.000006229341,0.00005186483,0.00007008831,0.000180343],"genre_scores_gemma":[0.9928248,0.00005375388,0.006577201,0.00001071147,0.000002513927,0.000006896539,0.00006332257,0.000009033993,0.0004518967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002369245,"threshold_uncertainty_score":0.004710853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422798448928604,"score_gpt":0.2187559998983163,"score_spread":0.1845280154090302,"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."}}