{"id":"W7140135784","doi":"10.1109/iconscept66142.2025.11437028","title":"THz-based Density Prediction in Timber Wood using Stacked Ensemble Regression Strategy","year":2025,"lang":"","type":"article","venue":"","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Regression analysis; Regression; Linear regression; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004329756,0.0008450461,0.0006662609,0.0008800103,0.000207389,0.0004425154,0.0006299381,0.0004776888,0.0009094016],"category_scores_gemma":[0.0007802243,0.0002341296,0.0007347696,0.000669854,0.0001424271,0.000581157,0.000382258,0.0004667239,0.0006243819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013552,"about_ca_system_score_gemma":0.0003138351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00600651,"about_ca_topic_score_gemma":0.008099283,"domain_scores_codex":[0.9998639,0.0000198457,0.000005836011,0.00005015414,0.00003130109,0.00002897424],"domain_scores_gemma":[0.9997831,0.00006558781,0.00002661422,0.00002220679,0.00008892083,0.00001358005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002398321,0.0002180818,0.019667,0.00009792747,0.0001679955,0.0002216452,0.00008613378,0.5895218,0.02993477,0.001336355,0.005184552,0.3533238],"study_design_scores_gemma":[0.000002040923,0.00001264065,0.002031081,0.000003782646,0.00001424554,0.00001590806,0.00001163588,0.9953985,0.00200334,0.0002848215,0.0002158642,0.000006233937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3482702,0.0009535322,0.6448853,0.0001809294,0.00009689204,0.00003633077,0.00101206,0.002356188,0.002208458],"genre_scores_gemma":[0.9043716,0.0005213264,0.08926941,0.00007468571,0.00006378729,0.00005451683,0.00242379,0.0001006605,0.003120242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00600651,"threshold_uncertainty_score":0.0119431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768783262527429,"score_gpt":0.329595665597025,"score_spread":0.2919078329717507,"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."}}