{"id":"W80618691","doi":"10.1007/s00107-006-0109-9","title":"Measurement of wood grain angle, moisture content and density using microwaves","year":2006,"lang":"de","type":"article","venue":"European Journal of Wood and Wood Products","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Microwave; Materials science; Moisture; Green wood; Attenuation; Range (aeronautics); Bulk density; Composite material; Raw material; Environmental science; Wood drying; Soil science; Optics; Geotechnical engineering; Engineering; Chemistry; Soil water","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001528244,0.000227572,0.0002050096,0.0004286824,0.0001731935,0.0002079786,0.0001826308,0.0001926504,0.0008163743],"category_scores_gemma":[0.0002953502,0.0001911825,0.0001472599,0.0004691037,0.0002147567,0.0003034082,0.0001430599,0.0002940715,0.0002158475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099551,"about_ca_system_score_gemma":0.00005887876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005894124,"about_ca_topic_score_gemma":0.0007364909,"domain_scores_codex":[0.9998692,0.0000178061,0.000005617575,0.00003526354,0.00005340523,0.0000186323],"domain_scores_gemma":[0.9997832,0.000107034,0.00003897964,0.00002255212,0.00003414581,0.000014201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003192996,0.00005457292,0.00975694,0.00002956136,0.00001861385,0.0000199619,0.00006735624,0.0002534927,0.9791972,0.0001297987,0.00003304728,0.01012027],"study_design_scores_gemma":[0.00002007746,0.0004196783,0.1107918,0.00000410199,0.00005620314,0.0002005597,0.00008892582,0.002697235,0.8846569,0.0001453459,0.0009055749,0.00001364854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806872,0.0002296868,0.01730336,0.00001143368,0.000007104479,0.00001802589,0.0001066041,0.00006201133,0.001574641],"genre_scores_gemma":[0.9946819,0.0001887124,0.004219111,0.000008611023,0.000005608518,0.00001052734,0.00008267272,0.0000125768,0.0007903299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008163743,"threshold_uncertainty_score":0.002731025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361003544002248,"score_gpt":0.1896748723396923,"score_spread":0.1535745179394675,"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."}}