{"id":"W2321826909","doi":"10.1080/07373937.2015.1072719","title":"Dielectric properties of four softwood species at low-level radio frequencies for optimized heating and drying","year":2015,"lang":"en","type":"article","venue":"Drying Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Softwood; Dielectric; Materials science; Composite material; Dielectric heating; Distilled water; Moisture; Radio frequency; Dehydration; Water content; Electrical engineering; Chemistry; Geotechnical engineering; Optoelectronics; Chromatography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432091,0.0002139427,0.0003874006,0.0003092275,0.0001299517,0.00002540205,0.0001630375,0.0001771189,0.000002969427],"category_scores_gemma":[0.0002270977,0.0001768879,0.00005253014,0.0002550483,0.0001606786,0.0001203893,0.00009155166,0.0001220329,0.000004067042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300704,"about_ca_system_score_gemma":0.00002820232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002207855,"about_ca_topic_score_gemma":0.00001470222,"domain_scores_codex":[0.9990493,0.0000131631,0.000276827,0.0001974221,0.0001038674,0.0003594374],"domain_scores_gemma":[0.9995463,0.00005604473,0.00005893652,0.0002087042,0.00008524983,0.00004474862],"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":[0.0003040924,0.00007967812,0.01141542,0.001196027,0.0006799652,0.0000239218,0.005638584,0.005424143,0.9441856,0.003077955,0.0006373036,0.02733735],"study_design_scores_gemma":[0.002127079,0.0003152603,0.00009376416,0.0002248329,0.00008129373,0.00006393957,0.001002093,0.01744271,0.9753652,0.002312479,0.0005681464,0.000403205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866953,0.009623816,0.00172775,0.0002131148,0.0001460221,0.0003697346,0.000009190755,0.000745479,0.0004696176],"genre_scores_gemma":[0.9818986,0.0001824685,0.01732639,0.000007698988,0.00004138784,0.0001342404,0.000004317475,0.00004457759,0.0003602913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03117963,"threshold_uncertainty_score":0.7213278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06733127409676676,"score_gpt":0.2099467196959006,"score_spread":0.1426154455991339,"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."}}