{"id":"W3094801006","doi":"10.1177/0967033520967324","title":"Determination of radial profiles of wood properties using a near infrared scanning system","year":2020,"lang":"en","type":"article","venue":"Journal of Near Infrared Spectroscopy","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; National Research Council Canada; Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Partial least squares regression; Materials science; Microfibril; Pith; Near-infrared spectroscopy; Young's modulus; Bark (sound); Elasticity (physics); Analytical Chemistry (journal); Composite material; Mathematics; Optics; Botany; Chemistry; Chromatography; Forestry; Statistics; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004362849,0.0004897509,0.0003117381,0.001166612,0.0002940836,0.0002904407,0.000420071,0.0002006891,0.001235076],"category_scores_gemma":[0.0005884231,0.0002721505,0.0001805181,0.0008502209,0.0001599014,0.0003186687,0.0001807058,0.0002888881,0.0006929883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861705,"about_ca_system_score_gemma":0.0006266909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666348,"about_ca_topic_score_gemma":0.04009045,"domain_scores_codex":[0.9996854,0.00002377696,0.000009883075,0.00007782654,0.0001789202,0.00002427681],"domain_scores_gemma":[0.9994853,0.00006373868,0.00005966041,0.00003452817,0.000327963,0.0000287557],"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":[0.0001021182,0.00003333804,0.01668108,0.00006254794,0.00002299795,0.00003945714,0.000112684,0.0009689795,0.9425195,0.0001056099,0.0001818895,0.03916978],"study_design_scores_gemma":[0.00002391664,0.0002954535,0.3244853,0.00002705756,0.0001076497,0.0008164597,0.0002317867,0.04913925,0.6193586,0.0002859582,0.005148603,0.00008002575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8184417,0.0005536947,0.1740347,0.00002148993,0.00001068455,0.0001477597,0.001414045,0.001985569,0.003390316],"genre_scores_gemma":[0.8027984,0.0005830895,0.1904555,0.00004552017,0.000008835342,0.0001744416,0.00143173,0.0001936081,0.004308909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666348,"threshold_uncertainty_score":0.03313297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673936449822323,"score_gpt":0.2303182394440685,"score_spread":0.2035788749458452,"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."}}